LArCaloPublicResultsUpgrade < AtlasPublic

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---+!!<nop>Public Liquid-Argon Calorimeter Plots on Upgrade

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---+ Introduction

The LAr Upgrade simulation plots below are approved to be shown by ATLAS speakers at conferences and similar events.  

<b>Please do not add figures on your own.</b> Contact the [[mailto:martin.aleksaNOSPAM@cern.ch][LAr project leader]] in case of questions and/or suggestions.

---+ Phase I Upgrade Plots

The plots from the [[https://cds.cern.ch/record/1602230][LAr Phase I Upgrade TDR]] can be found [[https://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/UPGRADE/CERN-LHCC-2013-017/index.html][here]].

---++ Demonstrator for the ATLAS LAr calorimeter Phase I Trigger Readout Upgrade

Two LAr Phase I trigger upgrade demonstrator boards (2 Demonstrator LTDBs, LAr Trigger Digitizer Boards) were installed in-situ on the LAr detector in July 2014 (coverage: 9&pi;/16 < &phi; < 11&pi;/16, 0 < &eta; < 1.4). To receive the digital super-cell energies ABBA boards (LDPB pre-prototype) were installed in USA15. One ABBA board receives data from one LTDB 320 super cells. Super-cell data has been recorded for a large number of time slices with this pre-prototype backend electronics.

---+++ Data from 2017 runs: Energy comparison, timing resolution, overview plots and shower properties

General Information
   * The plots show data from pp collisions, physics run 334487, recorded on August 30, 2017.
   * Events were triggered by dedicated triggers requiring either a Level 1 electromagnetic cluster (EM) with E<sub>T</sub> > 20 !GeV or a Level 1 Jet with  E<sub>T</sub> > 100 !GeV within the demonstrator acceptance (for EM (Jet) 1.6 < &phi; < 2.2 (2.3), 0 < &eta; < 1.5). Those triggers were prescaled to have a combined event rate of approximately 1 Hz.
   * Events from the LAr demonstrator are matched to events collected in the main read-out using their bunch-crossing ID and brunch-crossing time. An alternative method is the matching according to the L1 ID of the events.
   * Two different prototypes of LAr Trigger Digitizer boards (LTDBs) were installed: The first for the region &phi; = 1.81 and &phi; = 1.91; the other for &phi; = 2.01 and &phi; = 2.11. This leads to different calibration and also slightly different results for those two regions.

Description of procedure
   * Energy and timing resolution of demonstrator system
      * All events for given supercell that satisfy |E<sub>dem</sub> - E<sub>main</sub> | / E<sub>main</sub> < 0.5 and E<sub>main</sub> > 2 !GeV are used.
      * The events are then further separated into 15 bins with equal statistics. For each of these bins the mean and RMS value is obtained.
      * The chosen functional parametrisation for the energy resolution is given by &sigma;/E = b/E &oplus; c and thus neglects the stochastic (shower) component (&propto; 1/E<sup>0.5</sup>), as the resolution is obtained from a ratio of the two read-outs and thus both are affected in the same way by the shower fluctuations. 
      * The functional parametrisation for the timing resolution is chosen to match the [[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResults2015/h_eResolution_EMB.pdf][public plots]] from the main read-out.
   * Overview of mean and RMS values for energy and timing distributions
      * Out of all events with |E<sub>dem</sub> - E<sub>main</sub> | / E<sub>main</sub> < 0.5 and E<sub>main</sub> > 2 !GeV are used, only the 20% highest energy deposits are used. &to; Same requirement as for plots in next section.
      * The mean and RMS values are then obtained and plotted for each layer.
   * Comparison of the shower modelling
      * Supercell with highest energy in shower fulfils E<sub>main</sub> > 20 !GeV and |E<sub>dem</sub> - E<sub>main</sub> | / E<sub>main</sub> < 0.1.
      * Other supercells are considered if they fulfil |E<sub>dem</sub> - E<sub>main</sub> | / E<sub>main</sub> < 0.8 and E<sub>scell</sub> > 1% E<sub>max</sub>.
      * The two above criteria largely resemble the selection used to extract event displays.
      * Shower cone defined as supercells within |&phi; - &phi;<sub>max</sub> | < 0.15 (three iphi layers) and |&eta; - &eta;<sub>max</sub> | < 0.05 (width of a trigger tower) of maximum energy deposit.
      * The shower shape variables are defined in the [[https://cds.cern.ch/record/1602230][LAr Phase I Upgrade TDR]] as follows (with E<sup>(i)</sup> as the energy measured in the i-th layer):<br>
        R<sub>&eta;</sub> = (E<sup>(2)</sup><sub>T,&Delta;&eta;&times;&Delta;&phi;=0.075&times;0.2</sub>)/(E<sup>(2)</sup><sub>T,&Delta;&eta;&times;&Delta;&phi;=0.175&times;0.2</sub>)<br>
        w<sub>&eta;, 2</sub> = ((&Sigma;(E<sup>(2)</sup><sub>T</sub> &times; &eta;<sup>2</sup>)<sub>&Delta;&eta;&times;&Delta;&phi;=0.075&times;0.2</sub>)/(E<sup>(2)</sup><sub>T,&Delta;&eta;&times;&Delta;&phi;=0.075&times;0.2</sub>) - ((&Sigma;(E<sup>(2)</sup><sub>T</sub> &times; &eta;)<sub>&Delta;&eta;&times;&Delta;&phi;=0.075&times;0.2</sub>)/(E<sup>(2)</sup><sub>T,&Delta;&eta;&times;&Delta;&phi;=0.075&times;0.2</sub>))<sup>2</sup>)<sup>0.5</sup><br>
        f<sub>3</sub> = (E<sup>(3)</sup><sub>T,&Delta;&eta;&times;&Delta;&phi;=0.2&times;0.2</sub>)/(E<sup>(1)</sup><sub>T,&Delta;&eta;&times;&Delta;&phi;=0.075&times;0.2</sub> + E<sup>(2)</sup><sub>T,&Delta;&eta;&times;&Delta;&phi;=0.075&times;0.2</sub> + E<sup>(3)</sup><sub>T,&Delta;&eta;&times;&Delta;&phi;=0.2&times;0.2</sub>)

<table class="twikiTable" width="100%" bgcolor=#f5f5fa  border=1 cellpadding=10 cellspacing=10>

<tr>
<td bgcolor=#eeeeee>

*Measured energy comparison for the middle layer:* \
The measured supercell (SC) energies of the LAr Phase I demonstrator are compared to summed LAr cell energies in ATLAS by calculating their ratio (E<sub>SC</sub> / &Sigma;<sub>SC</sub> E<sub>cells</sub>) for E<sub>SC</sub> &gt; 2 !GeV. The energy spectrum is subdivided into 15 bins and the width of the distribution shown. The supercells in the middle layer consist of 4 LAr cells. The width of the energy ratio is below 1 % in the high-energy tail.

</td><td align="center">

%PLOT{pulseRelEDev_Ebinned_middle_RMS}%

</td>
</tr><tr>

<td bgcolor=#eeeeee>

*Measured energy comparison by layer:* \
The measured supercell (SC) energies of the LAr Phase I demonstrator are compared to summed LAr cell energies in ATLAS by calculating their ratio (E<sub>SC</sub> / &Sigma;<sub>SC</sub> E<sub>cells</sub>) for E<sub>SC</sub> &gt; 2 !GeV. The energy spectrum is subdivided into 15 bins and the width of the distribution shown. The supercells in the presampler, front, middle and back layer consist of 4, 8, 4 and 8 LAr cells, respectively. The width of the energy ratio is below 1 &minus; 2 % in the high-energy tail, depending on the calorimeter layer.

</td><td align="center">

%PLOT{comparison_energy_log}%

</td>
</tr><tr>
<td bgcolor=#eeeeee>

*Measured timing resolution for the middle layer:* \
The measured supercell timing distribution of the LAr Phase I demonstrator is obtained for a selected supercell. It is subdivided into 15 energy-bins and the width of the distribution shown for each bin. The timing resolution is around 0.5 ns in the high-energy tail, such that the identification of the bunch-crossing ID is possible due to the resolution being much smaller than 25 ns. The supercells in the middle layer consist of 4 LAr cells.

</td><td align="center">

%PLOT{pulseTiming_Ebinned_middle_RMS}%

</td>
</tr><tr>
<td bgcolor=#eeeeee>

*Measured timing resolution by layer:* \
The measured supercell timing distribution of the LAr Phase I demonstrator is obtained for selected supercells. It is subdivided into 15 energy-bins and the width of the distribution shown for each bin. The timing resolution is below 0.5 &minus; 1.0 ns in the high-energy tail, such that the identification of the bunch-crossing ID is possible due to the resolution being much smaller than 25 ns. The supercells in the presampler, front, middle and back layer consist of 4, 8, 4 and 8 LAr cells, respectively.

</td><td align="center">

%PLOT{comparison_timing_log}%

</td>
</tr><tr>
<td bgcolor=#eeeeee>

*Energy scale for demonstrator &phi;-slice:* \
The measured supercell (SC) energies of the LAr Phase I demonstrator are compared to summed LAr cell energies in ATLAS by calculating their ratio (E<sub>SC</sub> / &Sigma;<sub>SC</sub> E<sub>cells</sub>) and the mean value of the distribution is shown. The supercells in the presampler, front, middle and back layer consist of 4, 8, 4 and 8 LAr cells, respectively. Good agreement is observed between the two systems, while residual shifts of the mean are due to the preliminary calibration of the supercells.

</td><td align="center">

%PLOT{relEDev_Mean_etaDep_19}%

</td>
</tr><tr>
<td bgcolor=#eeeeee>

*Energy comparison for demonstrator &phi;-slice:* \
The measured supercell (SC) energies of the LAr Phase I demonstrator are compared to summed LAr cell energies in ATLAS by calculating their ratio (E<sub>SC</sub> / &Sigma;<sub>SC</sub> E<sub>cells</sub>) and the RMS value of the distribution is shown. The supercells in the presampler, front, middle and back layer consist of 4, 8, 4 and 8 LAr cells, respectively. The typical width of the energy ratio of the front and middle layers is well below 2%, while the presampler and back layer exhibit higher values.

</td><td align="center">

%PLOT{relEDev_RMS_etaDep_19}%

</td>
</tr><tr>
<td bgcolor=#eeeeee>

*Mean timing for demonstrator &phi;-slice:* \
The measured supercell timing distribution of the LAr Phase I demonstrator is obtained and the mean value of the distribution shown. The identification of the bunch-crossing ID is possible due to the low deviation of the mean from 0 ns and a RMS value much smaller than 25 ns. The supercells in the presampler, front, middle and back layer consist of 4, 8, 4 and 8 LAr cells, respectively. The small shift of the means is due to the preliminary calibration of the supercells.

</td><td align="center">

%PLOT{timing_Mean_etaDep_19}%

</td>
</tr><tr>
<td bgcolor=#eeeeee>

*Timing resolution for demonstrator &phi;-slice:* \
The measured supercell timing distribution of the LAr Phase I demonstrator is obtained and the RMS value of the distribution shown. The identification of the bunch-crossing ID is possible due to the low deviation of the mean from 0 ns and a RMS value much smaller than 25 ns. The supercells in the presampler, front, middle and back layer consist of 4, 8, 4 and 8 LAr cells, respectively. The typical timing resolution of the front and middle layers is below 1 ns, while the presampler and back layer have slight higher timing resolutions.

</td><td align="center">

%PLOT{timing_RMS_etaDep_19}%

</td>
</tr><tr>
<td bgcolor=#eeeeee>

*Shower modelling of the demonstrator read-out:* \
Supercell energy and timing information of the LAr Phase I demonstrator and summed LAr cell energies in ATLAS are compared for triggered showers. Several quantities are given and show a good agreement between the two read-outs. The events were observed in pp physics data, collected on August 30, 2017. Only well-reconstructed energy deposits above 1% of E<sub>max</sub><sup>SC</sup> are used. R<sub>&eta;</sub> gives an estimate of the energy fraction of the shower cone in the middle layer, f<sub>3</sub> is the energy fraction of the shower in the back layer and the width of the showers is further parametrised by w<sub>&eta;, 2</sub>.

</td><td align="center">

<table><tr><td align="center">
%HALFPLOT{coneOverTotal}%
</td><td align="center">
%HALFPLOT{coneOverTotal_log}%
</td></tr></table>

<table><tr><td align="center">
%HALFPLOT{cone}%
</td><td align="center">
%HALFPLOT{cone_log}%
</td></tr></table>

<table><tr><td align="center">
%HALFPLOT{energyResol}%
</td><td align="center">
%HALFPLOT{energyResol_log}%
</td></tr></table>

<table><tr><td align="center">
%HALFPLOT{Reta}%
</td><td align="center">
%HALFPLOT{Reta_log}%
</td></tr></table>

<table><tr><td align="center">
%HALFPLOT{wEta}%
</td><td align="center">
%HALFPLOT{wEta_log}%
</td></tr></table>

<table><tr><td align="center">
%HALFPLOT{f3}%
</td><td align="center">
%HALFPLOT{f3_log}%
</td></tr></table>

</td>
</tr>
</table>


---+++ Data from 2017 runs: pulse shapes and timing distributions
General Information
   * The plots show data from pp collisions, physics run 334487, recorded on August 30, 2017.
   * Events were triggered by dedicated triggers requiring either a Level 1 electromagnetic cluster (EM) with E<sub>T</sub> > 20 !GeV or a Level 1 Jet with  E<sub>T</sub> > 100 !GeV within the demonstrator acceptance (for EM (Jet) 1.6 < &phi; < 2.2 (2.3), 0 < &eta; < 1.5). Those triggers were prescaled to have a combined event rate of approximately 1 Hz.
   * Events from the LAr demonstrator are matched to events collected in the main read-out using their bunch-crossing ID and brunch-crossing time. An alternative method is the matching according to the L1 ID of the events.
Description of procedure
   * Measured pulse shapes for each layer and comparison with prediction:
      * Measured pulse shapes are obtained from raw data of the demonstrator system and normalised according to measured energy in main read-out (to obtain a pulse height in ADC/GeV). \
        Different options for averaging several events are applied.
      * The Response Transformation Method is used to predict the pulse shape from calibration data. \
        The normalisation is solely based on the dedicated demonstrator calibration coefficients and thus independent of the normalisation for the measured pulse shapes.
   * Pulse timing distributions for each layer are based on the reconstruction of the demonstrator pulses with OFCs.
   * Out of all events with |E<sub>dem</sub> &#8722; E<sub>main</sub> |/E<sub>main</sub> < 0.5 and E<sub>main</sub> > 2 !GeV, only the 20% highest energy deposits are used.
      * cuts were checked to create no bias on pulse shape or timing
      * cuts applied:
         * Presampler: 4.70 !GeV (178 events)
         * Front layer: 7.80 !GeV (133 events)
         * Middle layer: 11.05 !GeV (282 events)
         * Back layer: 5.55 !GeV (107 events)

<table class="twikiTable" width="100%" bgcolor=#f5f5fa  border=1 cellpadding=10 cellspacing=10>

<tr>
<td bgcolor=#eeeeee>

*Comparison of extracted pulse shapes for front layer:* \
Measured pulse shapes (red) of a front layer supercell in the LAr Phase I demonstrator are compared to the, independently obtained, predicted pulse shape (black). \
The supercells in the presampler, front, middle and back layer consist of 4, 8, 4 and 8 LAr cells, respectively. \
Very good agreement between the different averaging methods is obtained. \
Only the five measurements around the peak (dashed line) are used for the energy and timing reconstruction. \
The shape difference at &cong; 1000 ns is expected to originate from the modeling of the electrode position in the LAr gap.

</td><td align="center">

%PLOT{extractionMethods_front_average}%<br/>
%PLOT{extractionMethods_front_hist}%<br/>
%PLOT{extractionMethods_front_maxE}%<br/>

</td>
</tr><tr>

<td bgcolor=#eeeeee>

*Measured pulse shapes for each layer:* \
Measured pulse shapes (red) of supercells in the LAr Phase I demonstrator are compared to the, independently obtained, predicted pulse shapes (black). \
The supercells in the presampler, front, middle and back layer consist of 4, 8, 4 and 8 LAr cells, respectively. \
Good agreement is observed between measurement and prediction, while remaining small normalisation offsets are due to the preliminary calibration of the supercells. \
Only the five measurements around the peak (dashed line) are used for the energy and timing reconstruction. \
The shape difference at &cong; 1000 ns is expected to originate from the modelling of the electrode position in the LAr gap.

</td><td align="center">

%PLOT{pulseShape_presampler}%<br/>
%PLOT{pulseShape_front}%<br/>
%PLOT{pulseShape_middle}%<br/>
%PLOT{pulseShape_back}%<br/>

</td>
</tr><tr>

<td bgcolor=#eeeeee>

*Pulse timing distributions for each layer:* \
The measured supercell timing distribution of the LAr Phase I demonstrator is given for selected supercells. \
The identification of the bunch-crossing ID is possible due to the low deviation of the mean from 0 ns and a RMS value much smaller than 25 ns. \
The supercells in the presampler, front, middle and back layer consist of 4, 8, 4 and 8 LAr cells, respectively. \
The average supercell energy of the used events is 6.7 !GeV in the presampler, 13.3 !GeV in the front layer, 24.2 !GeV in the middle layer and 8.9 !GeV in the back layer. \
The small shift of the means is due to the preliminary calibration of the supercells.

</td><td align="center">

%PLOT{pulseTiming_presampler}%<br/>
%PLOT{pulseTiming_front}%<br/>
%PLOT{pulseTiming_middle}%<br/>
%PLOT{pulseTiming_back}%<br/>

</td>
</tr>
</table>


---+++ Data from 2017 runs and event displays
   * The plots show data from pp collisions, physics run 328099, recorded between June 27 and June 28, 2017.
   * Events were triggered by dedicated triggers requiring either a Level 1 electromagnetic cluster (EM) with E<sub>T</sub> > 20 !GeV or a Level 1 Jet with  E<sub>T</sub> > 100 !GeV within the demonstrator acceptance (for EM(Jet) 1.6 < &phi; < 2.2(2.3), 0 < &eta; < 1.5). Those triggers were prescaled to have a combined event rate of approximately 1 Hz.
   * Events from the LAr demonstrator are matched to events collected in the main read-out using their bunch-crossing ID and brunch-crossing time. An alternative method is the matching according to the L1 ID of the events.

<table class="twikiTable" width="100%" bgcolor=#f5f5fa  border=1 cellpadding=10 cellspacing=10>

<tr>
<td bgcolor=#eeeeee>

*Correlation of energy measurements for each layer:* The measured supercell (SC) energies of the LAr Phase I demonstrator are compared to summed LAr cell energies in ATLAS for E<sub>SC</sub> > 1 !GeV. The supercells in the presampler, front, middle and back layer consist of 4, 8, 4 and 8 LAr cells, respectively. Good agreement is observed between the two read-outs.

</td><td align="center">

%PLOT{scatter_presampler}%<br/>
%PLOT{scatter_front}%<br/>
%PLOT{scatter_middle}%<br/>
%PLOT{scatter_back}%

</td>
</tr><tr>
<td bgcolor=#eeeeee>

*Difference of energy measurements for each layer:*
The measured supercell (SC) energies of the LAr Phase I demonstrator are compared to summed LAr cell energies in ATLAS by calculating the difference (E<sub>SC</sub> &#8722; &Sigma;<sub>SC</sub> E<sub>cells</sub>) for E<sub>SC</sub> > 2 !GeV.
The supercells in the presampler, front, middle and back layer consist of 4, 8, 4 and 8 LAr
cells, respectively.
Good agreement is observed between the two read-outs.
The width of the distribution is compatible with the expected noise level.
The shift of the means is due to the preliminary calibration of the supercells.

</td><td align="center">

%PLOT{difference_presampler}%<br/>
%PLOT{difference_front}%<br/>
%PLOT{difference_middle}%<br/>
%PLOT{difference_back}%

</td>
</tr><tr>
<td bgcolor=#eeeeee>

*Event display of the partial demonstrator region:*
Supercell energies of the LAr Phase I demonstrator and summed LAr cell energies in ATLAS are given for the same shower.
The event with ID 1912797011 was observed in the pp physics run 328099, obtained between June 27 and June 28, 2017.
The geometrical coverage of the demonstrator system is partially shown.
The volume of the depicted boxes is proportional to the deposited energy.
Only energy deposits above 1% of E<sub>max</sub><sup>SC</sup> are plotted.

</td><td align="center">

<table><tr><td align="center">
%HALFPLOT{Event_0_Demonstrator_Partial}%
</td><td align="center">
%HALFPLOT{Event_0_Main_Partial}%
</td></tr></table>

</td>
</tr><tr>
<td bgcolor=#eeeeee>

*Event display of the demonstrator region:*
Supercell energies of the LAr Phase I demonstrator and summed LAr cell energies in ATLAS are given for the same shower.
The event with ID 2214598379 was observed in the pp physics run 328099, obtained between June 27 and June 28, 2017.
The full geometrical coverage of the demonstrator system is shown.
The volume of the depicted boxes is proportional to the deposited energy.
Only energy deposits above 1% of E<sub>max</sub><sup>SC</sup> are plotted.

</td><td align="center">

<table><tr><td align="center">
%HALFPLOT{Event_0_Demonstrator_Full}%
</td><td align="center">
%HALFPLOT{Event_0_Main_Full}%
</td></tr></table>

<table><tr><td align="center">
%HALFPLOT{Event_1_Demonstrator}%
</td><td align="center">
%HALFPLOT{Event_1_Main}%
</td></tr></table>

<table><tr><td align="center">
%HALFPLOT{Event_2_Demonstrator}%
</td><td align="center">
%HALFPLOT{Event_2_Main}%
</td></tr></table>

<table><tr><td align="center">
%HALFPLOT{Event_3_Demonstrator}%
</td><td align="center">
%HALFPLOT{Event_3_Main}%
</td></tr></table>

</td>
</tr>
</table>

---+++ Noise and calibration pulse shapes
Noise values and calibration pulses with several amplitudes are shown in the following. Plots show ADC counts (12 bits ADC) as well as their equivalent transverse energies for the different sections of the calorimeter.


<table class="twikiTable" width="100%" bgcolor=#f5f5fa  border=1 cellpadding=10 cellspacing=10>

</tr><tr>
<td bgcolor=#eeeeee>
*Super-cell pulse shapes for each layer:*
Responses of four super cells (one from each layer) from the LAr Phase I demonstrator installed in ATLAS to injected calibration pulses (DAC = 1000 counts to each LAr cell), the equivalent energy for DAC = 1000 is shown in subsequent plots.
The super cell  outputs are the sums of 4, 8, 4 and 8 LAr cells for Presampler, Front, Middle and Back layer, respectively. 
Size and shape of pulses are as expected and vary due to different  detector and electronics properties.

</td><td align="center">


[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig1.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig1.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig1.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig1.eps][eps version]], [[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig1.pdf][pdf version]] 

</td>
</tr><tr>

</tr><tr>
<td bgcolor=#eeeeee>
*Pulse maximum in ADC counts for each layer:*
Rapidity dependence of the  pulse maximum in ADC counts (pedestal subtracted) for  the super cells from the LAr Phase I demonstrator in ATLAS for injected calibration pulses (DAC = 1000 counts to each LAr cell), the equivalent energy for DAC = 1000 is shown in subsequent plots.
The super cell  outputs are the sums of 4, 8, 4 and 8 LAr cells for Presampler, Front, Middle and Back layer, respectively. 
The variations in response, especially in the back layer and at &eta; = 0.8, are  due to  the change in electrode segmentation, calibration and readout electronics.


</td><td align="center">


[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig2.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig2.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig2.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig2.eps][eps version]], [[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig2.pdf][pdf version]] 

</td>
</tr><tr>

</tr><tr>
<td bgcolor=#eeeeee>
*Equivalent transverse energy for each layer:*
Rapidity dependence of the equivalent transverse energy for an injected calibration pulse of DAC = 1000 counts into each LAr cell.
The super cell outputs are the sums of 4, 8, 4 and 8 LAr cells for Presampler, Front, Middle and Back layer, respectively. The jump seen at &eta; = 0.8 reflects the change of absorber thickness, electrodes and calibration resistors.

</td><td align="center">


[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig3.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig3.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig3.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig3.eps][eps version]], [[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig3.pdf][pdf version]] 

</td>
</tr><tr>

</tr><tr>
<td bgcolor=#eeeeee>
*Noise level of super cells in ADC counts:*
Rapidity dependence of the noise (RMS) in ADC counts for  the super cells from the LAr Phase I demonstrator in ATLAS.
The super cell  outputs are the sums of 4, 8, 4 and 8 LAr cells for Presampler, Front, Middle and Back layer, respectively. 
The jump seen at &eta; = 0.8 reflects the change of electrodes’ segmentation at that position.  The noise level is well below 1 ADC count and consistent with test bench measurements. 


</td><td align="center">


[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig4.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig4.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig4.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig4.eps][eps version]], [[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig4.pdf][pdf version]] 

</td>
</tr><tr>

</tr><tr>
<td bgcolor=#eeeeee>
*Noise level of super cells in transverse energy:*
Rapidity dependence of the noise (RMS) in transverse energy for  the super cells from the LAr Phase I demonstrator in ATLAS.
The super cell  outputs are the sums of 4, 8, 4 and 8 LAr cells for Presampler, Front, Middle and Back layer, respectively. 
The jump seen at &eta; = 0.8 reflects the change of absorber thickness, electrodes and calibration resistors.
The noise level is as expected between 100 and 250 MeV per super cell. 
 


</td><td align="center">


[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig5.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig5.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig5.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig5.eps][eps version]], [[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig5.pdf][pdf version]] 

</td>
</tr><tr>
</tr><tr>
<td bgcolor=#eeeeee>
*Pulse shapes of a front layer super cell:*
Pulse shapes of a super cell from the LAr Phase I demonstrator installed in ATLAS for injected calibration pulses with different amplitudes (DAC = 2000, 4000, 6000, 8000, 10000 counts), the equivalent energy for these DAC values is shown in subsequent plots.
The super cell outputs are the sums of 8 LAr front layer cells. 
Size and shape of pulses are as expected and show good linearity up to DAC = 8000, while beyond, analog saturation occurs upstream of the demonstrator board.

 


</td><td align="center">


[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig6.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig6.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig6.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig6.eps][eps version]], [[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig6.pdf][pdf version]] 

</td>
</tr><tr>

</tr><tr>
<td bgcolor=#eeeeee>
*Pulse maximum versus DAC value:*
Pulse maximum (in ADC counts) for four different super cells from the LAr Phase I demonstrator installed in ATLAS for injected calibration pulses with different amplitudes (DAC = 2000, 4000, 6000, 8000, 10000 counts), the equivalent energies for these DAC values are shown in subsequent plots.
The super-cell  outputs are the sums of 8 (4) LAr front (middle) layer cells. 
Good linearity up to DAC = 8000 (DAC = 6000) for the front (middle) layer is observed, while beyond, analog saturation occurs upstream of the demonstrator board.


</td><td align="center">


[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig7.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig7.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig7.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig7.eps][eps version]], [[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig7.pdf][pdf version]] 

</td>
</tr><tr>

</tr><tr>
<td bgcolor=#eeeeee>
*Pulse maximum versus transverse energy:*
Pulse maximum (in ADC counts) for four different super cells from the LAr Phase I demonstrator installed in ATLAS for injected calibration pulses with different amplitudes (DAC = 2000, 4000, 6000, 8000, 10000 counts), plotted in units of equivalent transverse energy.
The super-cell outputs are the sums of 8 (4) LAr front (middle) layer cells. 
Analog saturation upstream of the demonstrator board occurs at different transverse energy values depending on the calorimeter layer and rapidity.



</td><td align="center">


[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig8.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig8.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig8.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig8.eps][eps version]], [[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/fig8.pdf][pdf version]] 

</td>
</tr><tr>

</table>


<table class="twikiTable" width="100%" bgcolor=#f5f5fa  border=1 cellpadding=10 cellspacing=10>

</tr><tr>
<td bgcolor=#eeeeee>
*Total noise on the trigger readout path of the demonstrator test set-up:*
Here the RMS on the trigger readout path in MeV is shown. It was measured in a setup which is equivalent to a crate in ATLAS, with a half-full Front End Crate (FEC) equipped with Front End Boards (FEBs).
Trigger towers 1-14 correspond to an eta-region of 0 to 1.4. Trigger towers 16-29 are the same in eta, but adjacent in phi. The values represented by the full circles were measured by a spectrum analyzer, the values shown in open circles were measured with Flash ADCs. For the computation a pedestal run with 5000 events and 8 samples was used.
</td><td align="center">


[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/FADC_noise_poster.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/FADC_noise_poster.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/FADC_noise_poster.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/FADC_noise_poster.eps][eps version]] 

</td>
</tr><tr>

</tr><tr>
<td bgcolor=#eeeeee>
*Fraction of total noise which is coherent for Phase I demonstrator measured in ATLAS:*
Here the total noise which is coherent is shown as fraction of the total noise per readout channel (Coherent Noise Fraction = CNF) The CNF for feedthroughs (FT) 7-12 on the detector has been computed, of which FT 9 and 10 belong to the demonstrator crate I06, FT 7 and 8 to I05 and FT 11 and 12 to I07.
For the computation a pedestal run with 40000 events and 32 samples was used. The board in the first slot reads out the presampler, the boards in the following seven slots read out the front layer, the next two boards the back layer and the last four boards the middle layer of the calorimeter. The last entry is the CNF of the whole halfcrate. The coherent noise fraction rho was calculated using the formula in this [[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/Poster_plots_approval_new.jpg][link]].
</td><td align="center">


[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/cnf_poster.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/cnf_poster.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/cnf_poster.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/cnf_poster.eps][eps version]]

</td>
</tr><tr>

</tr><tr>
<td bgcolor=#eeeeee>
*LAr Trigger Digitizer Board (LTDB) demonstrator noise measured on the demonstrator installed in ATLAS:*
Here, the RMS of the 12-bit ADC of the 320 channels of the LTDB demonstrator measured in USA15 is shown. For the computation a pedestal run with 16384 events was used. One ADC count corresponds to roughly 125 MeV..
</td><td align="center">


[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/LTDB_noise.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/LTDB_noise.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/LTDB_noise.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/LTDB_noise.eps][eps version]]

</td>
</tr><tr>

</tr><tr>
<td bgcolor=#eeeeee>
*LAr Trigger Digitizer Board (LTDB) demonstrator pedestal measured on the demonstrator installed in ATLAS:*
Here, the pedestal values of the 12-bit ADC of the 320 channels of the LTDB demonstrator measured in USA15 are shown. For the computation a pedestal run with 16384 events was used.
</td><td align="center">


[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/LTDB_pedestal.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/LTDB_pedestal.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/LTDB_pedestal.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/LTDB_pedestal.eps][eps version]]

</td>
</tr><tr>

</tr><tr>
<td bgcolor=#eeeeee>
*Total noise on main readout of calorimeter cells of demonstrator crate I06 (ATLAS):*
In this plot, the RMS of the 128 channels of the Front End Boards (FEBs) of the demonstrator crate installed in ATLAS is shown. The FEBs read out the calorimeter cells. There are 28 such boards in one Front End Crate (FEC). The FEBs read out signals from different layers of the calorimeter. The noise levels of the boards vary because different capacitances and gains are applied to their respective cells. For the computation of the RMS a pedestal run with 3000 events and 32 samples was used. The noise level is not higher compared to the neighboring crates on the detector (e.g. see plots for crate I05).
</td><td align="center">


[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/totalnoise_demonstrator.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/totalnoise_demonstrator.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/totalnoise_demonstrator.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/totalnoise_demonstrator.eps][eps version]]

</td>
</tr><tr>

</tr><tr>
<td bgcolor=#eeeeee>
*Total noise on main readout of calorimeter cells of crate I05 (ATLAS):*
In this plot, the RMS of all channels of the FEBs of one of the neighbour
crates (I05) of the demonstrator crate I06 in ATLAS is shown. For the computation of the noise a pedestal run with 3000 events and 32 samples was used.
</td><td align="center">


[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/total_noise_I05.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/total_noise_I05.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/total_noise_I05.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/total_noise_I05.eps][eps version]]

</td>
</tr><tr>
</table>



---+ Phase II Upgrade Plots

<table class="twikiTable" width="100%" bgcolor=#f5f5fa  border=1 cellpadding=10 cellspacing=10>

<tr>
<td bgcolor=#eeeeee>

Estimated quantization noise as function of energy in the front layer of the LAr EM barrel calorimeter, with the two gain system proposed for the Phase-II LAr Calorimeter readout (low gain curve in red, high gain curve in blue).
The quantization noise curves assume the use of a 12-bit successive approximation register (SAR) with a dynamic range enhancer (DRE) to obtain a 14-bit ADC with 12-bit precision.
Gain switching occurs close to the highest energy digitized in the high gain.

</td><td align="center">

%PLOT{intr_electr_res_fl_prel}%<br/>

</td>
</tr>
<tr>
<td bgcolor=#eeeeee>

Estimated quantization noise as function of energy in the LAr EM middle layer in the endcap outer wheel, with the two gain system proposed for the Phase-II LAr Calorimeter readout (low gain curve in red, high gain curve in blue).
The quantization noise curves assume the use of a 12-bit successive approximation register (SAR) with a dynamic range enhancer (DRE) to obtain a 14-bit ADC with 12-bit precision.
Gain switching occurs close to the highest energy digitized in the high gain.

</td><td align="center">

%PLOT{intr_electr_res_ml_prel}%<br/>

</td>
</tr>
<tr>
<td bgcolor=#eeeeee>

Bipolar shapers can have different numbers of integration stages, as well as various peaking times, which both affect the total noise (electronics plus pileup) on the analog pulse of the Phase-II LAr Calorimeter readout.
The figure shows the total noise as a function of the level of pileup, &mu;, for a cell from the EM middle layer at &eta; = 0.5, obtained after optimal filtering, for different number of integration stages in the shaper.
The optimal filtering coefficients (OFC) are computed for each case separately.
No significant differences in the noise level can be seen in the EM case.
These results do not include a detailed simulation of the electronics circuit, which could affect the results.

</td><td align="center">

%PLOT{shaper}%<br/>

</td>
</tr>
<tr>
<td bgcolor=#eeeeee>

Bipolar shapers can have different numbers of integration stages, as well as various peaking times, which both affect the total noise (electronics plus pileup) on the analog pulse of the Phase-II LAr Calorimeter readout.
The figure shows the total noise as a function of the level of pileup, &mu;, for a HEC cell in the first layer at &eta; = 2.35, obtained after optimal filtering, for different number of integration stages in the shaper.
The optimal filtering coefficients (OFC) are computed for each case separately.
For the HEC, a CR-(RC)<sup>3</sup> shaper improves the noise by 5% over a CR-(RC)<sup>2</sup>.
These results do not include a detailed simulation of the electronics circuit, which could affect the results.

</td><td align="center">

%PLOT{Total_Noise}%<br/>

</td>
</tr>
</table>


---++ NIEL Simulations for HEC Cold Electronics in Phase II

<table class="twikiTable" width="100%" bgcolor=#f5f5fa  border=1 cellpadding=10 cellspacing=10>
<tr>
<td bgcolor=#eeeeee>
Si NIEL fluence in ATLAS under HL-LHC conditions after 3000 fb<sup>-1</sup> and with an applied safety factor of 2 to account for simulation uncertainties. The color coded fluences in the ASICs are shown at the r-z locations of the corresponding readout regions of the HEC.
</td><td align="center">


[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/HL-LHC-NIEL-PSB-Region-FLUKA-RBTF2013-2x3000ifb.jpg][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/HL-LHC-NIEL-PSB-Region-FLUKA-RBTF2013-2x3000ifb.jpg" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/HL-LHC-NIEL-PSB-Region-FLUKA-RBTF2013-2x3000ifb.jpg"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/HL-LHC-NIEL-PSB-Region-FLUKA-RBTF2013-2x3000ifb.eps][eps version]], [[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/HL-LHC-NIEL-PSB-Region-FLUKA-RBTF2013-2x3000ifb.pdf][pdf version]]<br><br>

</td>
</tr><tr>
<td bgcolor=#eeeeee>
Si NIEL fluence in ATLAS under HL-LHC conditions after 3000 fb<sup>-1</sup> and with an applied safety factor of 2 to account for simulation uncertainties. The color coded fluences in the ASICs are shown at the r-z locations of the corresponding readout regions of the HEC.
</td><td align="center">


[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/HL-LHC-NIEL-PSB-Region-FLUKA-RBTF2013-2x3000ifb.jpg][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/HL-LHC-NIEL-PSB-Region-FLUKA-RBTF2013-2x3000ifb.jpg" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/HL-LHC-NIEL-PSB-Region-FLUKA-RBTF2013-2x3000ifb.jpg"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/HL-LHC-NIEL-PSB-Region-FLUKA-RBTF2013-2x3000ifb.eps][eps version]], [[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/HL-LHC-NIEL-PSB-Region-FLUKA-RBTF2013-2x3000ifb.pdf][pdf version]]<br><br>

</td>
</tr>
</table>


---++ Simulated Noise

<table class="twikiTable" width="100%" bgcolor=#f5f5fa  border=1 cellpadding=10 cellspacing=10>

</tr><tr>
<td bgcolor=#eeeeee>
*Simulated noise in the Liquid Argon and Tile calorimeters at the electron scale (bunch spacing %$\Delta$%t=25ns):* Quadratic sum of simulated electronics and pile-up noise per calorimeter cell for each calorimeter layer as function of pseudo-rapidity. The pile-up simulation is done by overlaying GEANT4 simulated events from PYTHIA (v6.4) including non diffractive and diffractive events.
The overlay takes into account the full sensitive time of the detector (~500ns for the LAr) and the bunch train structure. For proton-proton
collisions at &#8730;s = 14TeV and a bunch spacing of %$\Delta$%t=25ns. The luminosity and corresponding average overlaying interactions per bunch crossing <µ> (pile-up events) are specified below (and inside) each figure. The standard ATLAS electronics are assumed in the simulation. A comparison of data and MC
for <µ> = 0 and  <µ> = 14 can be seen at the corresponding links for the [[https://twiki.cern.ch/twiki/bin/view/AtlasPublic/LArCaloPublicResultsDetStatus][LAr]] and for the [[https://cds.cern.ch/record/1442284][Tile]] calorimeter.
</td><td align="center">


[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-30-25.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-30-25.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-30-25.png"></img>]] <br> 
Total noise for L=1.09x10<sup>34</sup> corresponding to <µ>=30 <br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-30-25.eps][eps version]]<br><br>

[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-40-25.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-40-25.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-40-25.png"></img>]] <br> 
Total noise for L=1.45x10<sup>34</sup> corresponding to <µ>=40 <br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-40-25.eps][eps version]]<br><br>

[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-60-25.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-60-25.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-60-25.png"></img>]] <br> 
Total noise for L=2.17x10<sup>34</sup> corresponding to <µ>=60 <br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-60-25.eps][eps version]]<br><br>

[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-80-25.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-80-25.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-80-25.png"></img>]] <br> 
Total noise for L=2.90x10<sup>34</sup> corresponding to <µ>=80 <br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-80-25.eps][eps version]]<br><br>

[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-100-25.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-100-25.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-100-25.png"></img>]] <br> 
Total noise for L=3.62x10<sup>34</sup> corresponding to <µ>=100 <br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-100-25.eps][eps version]]<br><br>

[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-140-25.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-140-25.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-140-25.png"></img>]] <br> 
Total noise for L=5.07x10<sup>34</sup> corresponding to <µ>=140 <br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-140-25.eps][eps version]]<br><br>

[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-200-25.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-200-25.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-200-25.png"></img>]] <br> 
Total noise for L=7.25x10<sup>34</sup> corresponding to <µ>=200 <br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-200-25.eps][eps version]]<br><br>

</td>
</tr><tr>
</table>

<table class="twikiTable" width="100%" bgcolor=#f5f5fa  border=1 cellpadding=10 cellspacing=10>

</tr><tr>
<td bgcolor=#eeeeee>
*Simulated noise in the Liquid Argon and Tile calorimeters at the electron scale (bunch spacing %$\Delta$%t=50ns):* Quadratic sum of simulated electronics and pile-up noise per calorimeter cell for each calorimeter layer as function of pseudo-rapidity. The pile-up simulation is done by overlaying GEANT4 simulated events from PYTHIA (v6.4) including non diffractive and diffractive events.
The overlay takes into account the full sensitive time of the detector (~500ns for the LAr) and the bunch train structure. For proton-proton
collisions at &#8730;s = 14TeV and a bunch spacing of %$\Delta$%t=50ns. The luminosity and corresponding average overlaying interactions per bunch crossing <µ> (pile-up events) are specified below (and inside) each figure. The standard ATLAS electronics are assumed in the simulation. A comparison of data and MC
for <µ> = 0 and  <µ> = 14 can be seen at the corresponding links for the [[https://twiki.cern.ch/twiki/bin/view/AtlasPublic/LArCaloPublicResultsDetStatus][LAr]] and for the [[https://cds.cern.ch/record/1442284][Tile]] calorimeter.
</td><td align="center">


[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-30-50.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-30-50.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-30-50.png"></img>]] <br> 
Total noise for L=0.54x10<sup>34</sup> corresponding to <µ>=30 <br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-30-50.eps][eps version]]<br><br>

[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-40-50.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-40-50.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-40-50.png"></img>]] <br> 
Total noise for L=0.73x10<sup>34</sup> corresponding to <µ>=40 <br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-40-50.eps][eps version]]<br><br>

[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-60-50.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-60-50.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-60-50.png"></img>]] <br> 
Total noise for L=1.09x10<sup>34</sup> corresponding to <µ>=60 <br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-60-50.eps][eps version]]<br><br>

[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-80-50.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-80-50.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-80-50.png"></img>]] <br> 
Total noise for L=1.45x10<sup>34</sup> corresponding to <µ>=80 <br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-80-50.eps][eps version]]<br><br>

[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-100-50.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-100-50.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-100-50.png"></img>]] <br> 
Total noise for L=1.81x10<sup>34</sup> corresponding to <µ>=100 <br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-100-50.eps][eps version]]<br><br>

[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-140-50.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-140-50.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-140-50.png"></img>]] <br> 
Total noise for L=2.54x10<sup>34</sup> corresponding to <µ>=140 <br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-140-50.eps][eps version]]<br><br>

[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-200-50.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-200-50.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-200-50.png"></img>]] <br> 
Total noise for L=3.62x10<sup>34</sup> corresponding to <µ>=200 <br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_plot_OFLCOND-MC12-HPS-19-200-50.eps][eps version]]<br><br>

</td>
</tr><tr>


</table>

---++ High Granularity FCal Performance Studies

The below results are based on simulated VBF 2.6 !TeV Higgs boson production and di-jet production at 14 !TeV with &#956;=190-200 assuming the current ATLAS FCal, a high-granularity sFCal and the FCal with reduced acceptance

<table class="twikiTable" width="100%" bgcolor=#f5f5fa  border=1 cellpadding=10 cellspacing=10>
</tr><tr>
<td bgcolor=#eeeeee>
<b>Total Noise Ratio:</b> Noise ratio per calorimeter cell as a function of |&#951;| for all layers for a high- granularity sFCal over FCal at a centre-of-mass energy of 14 !TeV and for a mean number of pile-up event of &#956;=200. Small deviations from 1 in the inner-most (s)FCal1 and full (s)FCal2/3 layers are due to the 6% denser sFCal1 compared to FCal1 which causes inelastic pp collisions to deposit more energy in the first module. In the outer region of sFCal1 the noise is 0.4 times the FCal1 noise. The ratio 1.1/0.4 = 2.75 of ratios for inner over outer cells is non-trivial and indicates that an sFCal with finer granularity improves the separation of hard-scatter signal from pile-up. The granularity ratio is 4. Therefore a double ratio of 4 would mean no improvement at all since all small cells would be fully correlated. A double ratio of 2 would be the maximal possible improvement in case all small cells are uncorrelated. 2.75 lies between these extremes, and since it is smaller than 4 means that the increase in granularity helps to suppress pile-up.
</td><td align="center">


[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_ratio_sFCal_SmallGaps_over_FCal_mu200-new_prelim.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_ratio_sFCal_SmallGaps_over_FCal_mu200-new_prelim.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_ratio_sFCal_SmallGaps_over_FCal_mu200-new_prelim.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_ratio_sFCal_SmallGaps_over_FCal_mu200-new_prelim.eps][eps version]], [[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/noise_tot_ratio_sFCal_SmallGaps_over_FCal_mu200-new_prelim.pdf][pdf version]]<br><br>

</td>
</tr><tr>

<td bgcolor=#eeeeee>
<b>Number of Jet Constituents:</b> Distribution of the number of constituents (clusters) for quark jets produced in the vector-boson fusion process &#119901;&#119901; &#8594; &#119867; &#119902;&#119902; &#8594; &#119897;<sup>&#8722;</sup>&#119907; &#119897;<sup>+</sup>&#119907; &#119902;&#119902; at 14 !TeV centre-of-mass energy simulated for the current ATLAS FCal, a high-granularity sFCal, and three scenarios with reduced FCal acceptance. The increase in granularity and better separation of signal from pile-up leads to larger number of constituents in the sFCal compared to FCal.
The vector-boson fusion events were simulated with the Powheg and Pythia8 Monte Carlo generators in narrow-width approximation for a hypothetic Higgs boson mass of 2.6 !TeV and an average number of pile-up events, &#956;, between 190 and 210.
</td><td align="center">


[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/sFCalReview_NConst_VBF2600_prelim.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/sFCalReview_NConst_VBF2600_prelim.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/sFCalReview_NConst_VBF2600_prelim.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/sFCalReview_NConst_VBF2600_prelim.eps][eps version]], [[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/sFCalReview_NConst_VBF2600_prelim.pdf][pdf version]]<br><br>

</td>
</tr><tr>

<td bgcolor=#eeeeee>
<b>Cell Significance:</b> Cell significance (E<sub>cell</sub>/&#963;<sub>cell</sub>) for the cell with the largest absolute cell energy over total noise simulated for the current ATLAS FCal, a high-granularity sFCal, and three scenarios with reduced FCal acceptance. Clusters are seeded when the absolute ratio is above 4. Cluster splitting can lead to entries with smaller ratios. The sFCal distribution is enhanced on the positve side while it remains close to the FCal distribution on the negative side. The negative entries are due to pile-up only, while on the positve side signal and pile- up contribute. The increase of mainly the positive side indicates that the signal detection ability is improved for the sFCal while the background remains on the same level.
The distributions are obtained for vector-boson fusion events &#119901;&#119901; &#8594; &#119867; &#119902;&#119902; &#8594; &#119897;<sup>&#8722;</sup>&#119907; &#119897;<sup>+</sup>&#119907; &#119902;&#119902; at 14 !TeV centre-of-mass energy, simulated with the Powheg and Pythia8 Monte Carlo generators in narrow-width approximation for a hypothetic Higgs boson mass of 2.6 !TeV and an average number of pile-up events, &#956;, between 190 and 210.
</td><td align="center">


[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/sFCalReview_CellSig_VBF2600_prelim.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/sFCalReview_CellSig_VBF2600_prelim.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/sFCalReview_CellSig_VBF2600_prelim.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/sFCalReview_CellSig_VBF2600_prelim.eps][eps version]], [[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/sFCalReview_CellSig_VBF2600_prelim.pdf][pdf version]]<br><br>

</td>
</tr><tr>

<td bgcolor=#eeeeee>
<b>Average p<sub>T</sub> Density:</b> Shown is the simulated profile of the average median p<sub>T</sub> density, &#961;, evaluated from positive-energy cell towers in the ATLAS LAr calorimeters. For the forward calorimeter, five different scenarios are studied: the current ATLAS FCal, a high-granularity sFCal, and three scenarios with reduced FCal acceptance. When a &#961;-based pile-up suppression will be applied in the jet reconstruction it is expected that a larger amount of p<sub>T</sub> will be removed for jets in the forward region in case of the sFCal.
The distributions are obtained for vector-boson fusion events &#119901;&#119901; &#8594; &#119867; &#119902;&#119902; &#8594; &#119897;<sup>&#8722;</sup>&#119907; &#119897;<sup>+</sup>&#119907; &#119902;&#119902; at 14 !TeV centre-of-mass energy, simulated with the Powheg and Pythia8 Monte Carlo generators in narrow-width approximation for a hypothetic Higgs boson mass of 2.6 !TeV and an average number of pile-up events, &#956;, between 190 and 210.
</td><td align="center">


[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/MedianDensityProfile_vs_eta.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/MedianDensityProfile_vs_eta.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/MedianDensityProfile_vs_eta.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/MedianDensityProfile_vs_eta.eps][eps version]], [[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/MedianDensityProfile_vs_eta.pdf][pdf version]]<br><br>

</td>
</tr><tr>

<td bgcolor=#eeeeee>
<b>Number of Jets:</b> Simulated integral jet p<sub>T</sub> distribution for hard scattering and pile-up jets and the relative fraction of hard scattering jets detected in the ATLAS FCal and in a high-granularity sFCal. An area-based p<sub>T</sub> subtraction is applied. The amount of p<sub>T</sub> subtracted from a jet is increased by a factor of 10 (thereby effectively killing the jet) in the case that it fails one of the jet shape variable cuts, which are based on jet width, transverse momentum sum of the jet constituents relative to the jet direction and the electromagnetic energy fraction.
The distributions are obtained for vector-boson fusion events &#119901;&#119901; &#8594; &#119867; &#119902;&#119902; &#8594; &#119897;<sup>&#8722;</sup>&#119907; &#119897;<sup>+</sup>&#119907; &#119902;&#119902; at 14 !TeV centre-of-mass energy, simulated with the Powheg and Pythia8 Monte Carlo generators in narrow-width approximation for a hypothetic Higgs boson mass of 2.6 !TeV and an average number of pile-up events, &#956;, between 190 and 210.
</td><td align="center">


[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/PUSuppression_NJetsAndHSFraction_vs_PtCut.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/PUSuppression_NJetsAndHSFraction_vs_PtCut.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/PUSuppression_NJetsAndHSFraction_vs_PtCut.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/PUSuppression_NJetsAndHSFraction_vs_PtCut.eps][eps version]], [[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/PUSuppression_NJetsAndHSFraction_vs_PtCut.pdf][pdf version]]<br><br>

</td>
</tr><tr>

<td bgcolor=#eeeeee>
<b>Ratio of Pile-Up Jets:</b> Ratio of number of identified pile-up jets and total number of reconstructed jets as a function of efficiency for determining a hard-scattering jet as simulated in di-jet events at 14 !TeV for the ATLAS FCal and a high-granularity sFCal. All jets are selected in the pseudo-rapidity range 3.8<|&#951;|<4.2 and in the p<sub>T</sub> range between 50 !GeV and 70 !GeV. Also shown is the double- ratio comparing the sFCal and FCal performance. The jet classification was performed using a likelihood ratio constructed from the jet width, the jet mass, the transverse momentum sum of the jet constituents relative to the jet direction, and the number of jet constituents (clusters).
</td><td align="center">


[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/ROC-eff-eta38to42.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/ROC-eff-eta38to42.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/ROC-eff-eta38to42.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/ROC-eff-eta38to42.eps][eps version]], [[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/ROC-eff-eta38to42.pdf][pdf version]]<br><br>

</td>
</tr><tr>

<td bgcolor=#eeeeee>
<b>Number of Pile-Up Jets:</b> Number of identified pile-up jets per event as a function of efficiency for determining a hard-scattering jet in high-mass VBF Higgs events at 14 !TeV for the ATLAS FCal and a high- granularity sFCal. All jets are selected in the pseudo-rapidity range 3.2<|&#951;|<3.8 and in the p<sub>T</sub> range above 20 !GeV. The jet reconstruction requires a positive cluster-vertex-fraction and a pile- up correction based on the average median p<sub>T</sub> density, &#961;, evaluated from positive-energy cell towers in the ATLAS LAr calorimeters. The simulation of charged particle tracks is based on the ITk tracking system assuming a tracking coverage of |&#951;|<4 and an ideal ITk detector resolution. 
The distributions are obtained for vector-boson fusion events &#119901;&#119901; &#8594; &#119867; &#119902;&#119902; &#8594; &#119897;<sup>&#8722;</sup>&#119907; &#119897;<sup>+</sup>&#119907; &#119902;&#119902; at 14 !TeV centre-of-mass energy, simulated with the Powheg and Pythia8 Monte Carlo generators in narrow-width approximation for a hypothetic Higgs boson mass of 2.6 !TeV and an average number of pile-up events, &#956;, between 190 and 210.
</td><td align="center">


[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/ROC_effHS_pt20_extr_JES_preliminary.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/ROC_effHS_pt20_extr_JES_preliminary.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/ROC_effHS_pt20_extr_JES_preliminary.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/ROC_effHS_pt20_extr_JES_preliminary.eps][eps version]], [[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/ROC_effHS_pt20_extr_JES_preliminary.pdf][pdf version]]<br><br>

</td>
</tr><tr>

</table>


---++ LAr Phase-II Energy Reconstruction with Artificial Neural Networks and Implementation in FPGAs

The results below are based on simulated energy deposits in the LAr EMB at a mean number of pile-up events of <&mu;>=140. The simulation of the sample sequences have been prepared using the AREUS software. The neural network development has been performed using the Keras/Tensorflow frameworks. FPGA implementations are for an Intel Stratix-10.

<table class="twikiTable" width="100%" bgcolor=#f5f5fa  border=1 cellpadding=10 cellspacing=10>
</tr><tr>
<td bgcolor=#eeeeee>
<b>Top:</b> Sample sequence (black) of an EMB Middle cell at (&eta;,&phi;)=(0.5125,0.0125) as simulated by AREUS, together with the true transverse energy deposits (yellow) shifted by five BC to improve the plot visibility, at <&mu;>=140 as a function of the BC counter. <br> 
<b>Middle:</b> The Convolutional Neural Network (CNN) for pulse tagging provides a hit probability (green) for each BC. 
Its training is based on a binary input sequence (blue) with values of unity for energy deposits 3 &sigma; above noise threshold. <br>
<b>Bottom:</b> The transverse energy reconstruction CNN makes its predictions (green) based on the probability of the tagging layer and the input samples.
</td><td align="center">

[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_sequence.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_sequence.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_sequence.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_sequence.eps][eps version]], [[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_sequence.pdf][pdf version]]<br><br>

</td>
</tr><tr>

<td bgcolor=#eeeeee>
Architecture of an Artificial Neural Network (ANN) with four convolutional layers.
The dataflow goes from bottom to top. The input sequence is first processed by the tagging part of the network in the bottom part of the figure. 
After a concatenation layer, the tag output and the input sequence are processed by the transverse energy reconstruction part of the ANN. 
The total receptive field of this network incorporates 13 bunch crossings.
</td><td align="center">

[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_architecture.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_architecture.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_architecture.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_architecture.eps][eps version]], [[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_architecture.pdf][pdf version]]<br><br>

</td>
</tr><tr>

<td bgcolor=#eeeeee>
Signal efficiency and background rejection receiver operating characteristic (ROC) curves of the two presented Artificial Neural Networks (yellow, purple) and their tagging part (green), compared to the Optimal Filtering (OF) with MaxFinder (red). Signal refers to deposits with E<sub>T</sub><sup>true</sup> above 240 MeV (3&sigma; above noise threshold), background those below. Efficiencies are calculated for an EMB Middle LAr cell (&eta;=0.5125 and &phi;=0.0125) simulated with AREUS assuming <&mu;>=140. Approaching the upper right corner of the plot indicates signal efficiencies of 100% and a background rejection of 100% and would therefore be optimal. For better visibility, the results are shown only in the range above 75%. Filled bands represent the statistical uncertainty.
</td><td align="center">


[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_ROC.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_ROC.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_ROC.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_ROC.eps][eps version]], [[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_ROC.pdf][pdf version]]<br><br>

</td>
</tr><tr>

<td bgcolor=#eeeeee>
Single-cell application of Long Short-Term Memory (LSTM) based recurrent networks. The LSTM cell and its dense decoder are computed at every bunch crossing (BC). They analyse the present signal amplitude and output of the past cell, accumulating long range information through a recurrent application. By design, the network predicts the deposited transverse energy with a delay of six BC.
</td><td align="center">


[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_LSTM_singlecell_archi.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_LSTM_singlecell_archi.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_LSTM_singlecell_archi.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_LSTM_singlecell_archi.eps][eps version]], [[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_LSTM_singlecell_archi.pdf][pdf version]]<br><br>

</td>
</tr><tr>

<td bgcolor=#eeeeee>
Sliding window application of LSTM based recurrent networks. At each instant, the signal amplitude of the four past and present bunch crossings are input into an LSTM layer. The last cell output is concatenated with a dense operation consisting of a single neuron, and providing the transverse energy prediction.
</td><td align="center">


[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_LSTM_slidewindow_archi.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_LSTM_slidewindow_archi.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_LSTM_slidewindow_archi.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_LSTM_slidewindow_archi.eps][eps version]], [[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_LSTM_slidewindow_archi.pdf][pdf version]]<br><br>

</td>
</tr><tr>

<td bgcolor=#eeeeee>
Transverse energy reconstruction performance for the optimal filtering and the various ANN algorithms. The performance is assessed by comparing the true transverse energy deposited in an EMB Middle LAr cell (&eta;=0.5125 and &phi;=0.0125) to the ANN prediction after simulating the sampled pulse with AREUS assuming <&mu;>=140. Only energies 3&sigma; above the noise threshold are considered. The mean, the median, the standard deviation, and the smallest range that contains 98% of the events are shown.
</td><td align="center">


[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_perf_summary_plot.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_perf_summary_plot.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_perf_summary_plot.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_perf_summary_plot.eps][eps version]], [[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_perf_summary_plot.pdf][pdf version]]<br><br>

</td>
</tr><tr>

<td bgcolor=#eeeeee>
Resolution of the transverse energy reconstruction as a function of the gap, i.e. the distance in units of bunch crossings (BC), between two consecutive energy deposits for the optimal filtering (OF) algorithm and a subsequent maximum finder. Only deposits with E<sub>T</sub><sup>true</sup> above 240 MeV (3&sigma; above noise threshold)  are considered. Inputs to the OF are sampled pulses obtained from the simulation of an EMB Middle LAr cell (&eta;=0.5125 and &phi;=0.0125) with AREUS using <&mu;>=140.
</td><td align="center">


[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_ofmax_gap_resolution.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_ofmax_gap_resolution.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_ofmax_gap_resolution.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_ofmax_gap_resolution.eps][eps version]], [[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_ofmax_gap_resolution.pdf][pdf version]]<br><br>

</td>
</tr><tr>

<td bgcolor=#eeeeee>
Resolution of the transverse energy reconstruction as a function of the gap, i.e. the distance in units of bunch crossings (BC), between two consecutive energy deposits for the Long Short-Term Memory single-cell algorithm. Only deposits with E<sub>T</sub><sup>true</sup> above 240 MeV (3&sigma; above noise threshold)  are considered. Inputs to the LSTM are sampled pulses obtained from the simulation of an EMB Middle LAr cell (&eta;=0.5125 and &phi;=0.0125) with AREUS using <&mu;>=140.
</td><td align="center">


[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_lstm_singlecell_gap_resolution.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_lstm_singlecell_gap_resolution.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_lstm_singlecell_gap_resolution.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_lstm_singlecell_gap_resolution.eps][eps version]], [[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_lstm_singlecell_gap_resolution.pdf][pdf version]]<br><br>

</td>
</tr><tr>

<td bgcolor=#eeeeee>
Resolution of the transverse energy reconstruction as a function of the gap, i.e. the distance in units of bunch crossings (BC), between two consecutive energy deposits for the Vanilla-RNN sliding-window algorithm. Only deposits with E<sub>T</sub><sup>true</sup> above 240 MeV (3&sigma; above noise threshold)  are considered. Inputs to the Vanilla-RNN are sampled pulses obtained from the simulation of an EMB Middle LAr cell (&eta;=0.5125 and &phi;=0.0125) with AREUS using <&mu;>=140.
</td><td align="center">


[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_vrnn_gap_resolution.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_vrnn_gap_resolution.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_vrnn_gap_resolution.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_vrnn_gap_resolution.eps][eps version]], [[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_vrnn_gap_resolution.pdf][pdf version]]<br><br>

</td>
</tr><tr>

<td bgcolor=#eeeeee>
Resolution of the transverse energy reconstruction as a function of the gap, i.e. the distance in units of bunch crossings (BC), between two consecutive energy deposits for the Convolutional Neural Network (CNN) algorithm. Only deposits with E<sub>T</sub><sup>true</sup> above 240 MeV (3&sigma; above noise threshold)  are considered. Inputs to the CNN are sampled pulses obtained from the simulation of an EMB Middle LAr cell (&eta;=0.5125 and &phi;=0.0125) with AREUS using <&mu;>=140.
</td><td align="center">


[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_gap_resolution.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_gap_resolution.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_gap_resolution.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_gap_resolution.eps][eps version]], [[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_gap_resolution.pdf][pdf version]]<br><br>

</td>
</tr><tr>

<td bgcolor=#eeeeee>
Relative deviation of the firmware implementations from the software results for the different transverse energy reconstruction Artificial Neural Networks (ANN). Only bunch crossings with predictions different from zero and true transverse energies larger than 240 MeV are considered. Inputs to the ANNs are sampled pulses obtained from the simulation of an EMB Middle LAr cell (&eta;=0.5125$ and &ph;i=0.0125) with AREUS assuming <&mu;>=140.
</td><td align="center">


[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_hlsVScpp_reso.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_hlsVScpp_reso.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_hlsVScpp_reso.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_hlsVScpp_reso.eps][eps version]], [[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_hlsVScpp_reso.pdf][pdf version]]<br><br>

</td>
</tr><tr>

</table>



Results below are based on updated AREUS simulations with energy deposits in the LAr EMB at a mean number of pile-up events of <&mu;>=140 and also other cells as indicated in the caption. Results refer to new convolutional neural networks using the Keras/Tensorflow frameworks.

<table class="twikiTable" width="100%" bgcolor=#f5f5fa  border=1 cellpadding=10 cellspacing=10>
</tr><tr>
<td bgcolor=#eeeeee>
Architecture of an Artificial Neural Network (ANN) with four convolutional layers and tagging part. The data flow goes from bottom to top. The input sequence is first processed by the tagging part of the network in the bottom half of the figure. After a concatenation layer, the tag output and the input sequence are processed by the transverse momentum magnitude reconstruction part of the ANN. The total field of view of this network incorporates 20 bunch crossings.
</td><td align="center">

[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/NN_architektur_T2Conv_k37_Dil1_E2Conv_k58_Dil1_LN4.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/NN_architektur_T2Conv_k37_Dil1_E2Conv_k58_Dil1_LN4.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/NN_architektur_T2Conv_k37_Dil1_E2Conv_k58_Dil1_LN4.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/NN_architektur_T2Conv_k37_Dil1_E2Conv_k58_Dil1_LN4.eps][eps version]], [[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/NN_architektur_T2Conv_k37_Dil1_E2Conv_k58_Dil1_LN4.pdf][pdf version]]<br><br>

</td>
</tr><tr>

<td bgcolor=#eeeeee>
Architecture of an Artificial Neural Network (ANN) with two convolutional layers. The data flow goes from bottom to top. The input sequence is first processed by a convolutional layer with dilation 1, which densely screens its input samples. The second convolutional layer with dilation 3 sparsely screens the output of the previous layer. This results in a larger total field of view of 22 bunch crossings without increasing the number of parameters.
</td><td align="center">

[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/NN_architektur_E2Conv_k76_Dil13_LN71.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/NN_architektur_E2Conv_k76_Dil13_LN71.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/NN_architektur_E2Conv_k76_Dil13_LN71.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/NN_architektur_E2Conv_k76_Dil13_LN71.eps][eps version]], [[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/NN_architektur_E2Conv_k76_Dil13_LN71.pdf][pdf version]]<br><br>

</td>
</tr><tr>

<td bgcolor=#eeeeee>
<b>Top:</b> Display of a sample sequence (black) of an EMB Middle cell at (&eta;,&phi;)=(0.5125,0.0125), together with the true transverse momentum magnitude E<sub>T</sub> (blue) and the Optimal Filtering (OF) with MaxFinder output (red) as a function of the BC counter. 
<br> 
<b>Bottom:</b> Similar display but with the output of the 2-Conv Convolutional Neural Network (CNN) (red). 
<br> 
The sequence was simulated with AREUS, using <&mu;>=140. True energies include in-time pile-up. The CNN shows an improvement in detecting hits coming in close succession. The two hits with a gap of 2 around bunch crossing 5 are well reconstructed by the CNN. That is not the case for the OF, which detects only a single peak. Around BC 65 a hit follows within an undershoot of a previous hit. While the
OF underestimates its energy, the CNN reconstructs it much better.
</td><td align="center">

[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_vs_of_sequence.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_vs_of_sequence.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_vs_of_sequence.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_vs_of_sequence.eps][eps version]], [[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_vs_of_sequence.pdf][pdf version]]<br><br>

</td>
</tr><tr>

<td bgcolor=#eeeeee>
Difference of the reconstructed and true transverse momentum magnitude (E<sub>T</sub>) as a function of the gap, i.e. the distance in units of bunch crossings (BC), between two consecutive energy deposits for the 4-Conv with Tagging Convolutional Neural Network (CNN) algorithm. Inputs to the CNN are sampled pulses obtained from the simulation of an EMB Middle LAr cell (&eta;=0.5125 and &phi;=0.0125) with AREUS using  <&mu;>=140. The structure at E<sub>T</sub><sup>pred</sup>-E<sub>T</sub><sup>true</sup>=-0.5 GeV arises, since only deposits with E<sub>T</sub><sup>true</sup> (including in-time pile-up) above 0.5 GeV are considered.
</td><td align="center">

[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_4conv_gap_resolution_EMBMid05.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_4conv_gap_resolution_EMBMid05.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_4conv_gap_resolution_EMBMid05.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_4conv_gap_resolution_EMBMid05.eps][eps version]], [[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_4conv_gap_resolution_EMBMid05.pdf][pdf version]]<br><br>

</td>
</tr><tr>

<td bgcolor=#eeeeee>
Difference of the reconstructed and true transverse momentum magnitude (E<sub>T</sub>) as a function of the gap, i.e. the distance in units of bunch crossings (BC), between two consecutive energy deposits for the 2-Conv Convolutional Neural Network (CNN) algorithm for a set of representative detector cells. Inputs to the CNN are sampled pulses obtained from the AREUS simulation using <&mu;>=140. The structure at E<sub>T</sub><sup>pred</sup>-E<sub>T</sub><sup>true</sup>=-0.5 GeV arises, since only deposits with E<sub>T</sub><sup>true</sup> (including in-time pile-up) above 0.5 GeV are considered.
</td><td align="center">

[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_2conv_gap_resolution_EMBPres05.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_2conv_gap_resolution_EMBPres05.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_2conv_gap_resolution_EMBPres05.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_2conv_gap_resolution_EMBPres05.eps][eps version]], [[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_2conv_gap_resolution_EMBPres05.pdf][pdf version]]<br><br>

[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_2conv_gap_resolution_EMBFront05.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_2conv_gap_resolution_EMBFront05.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_2conv_gap_resolution_EMBFront05.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_2conv_gap_resolution_EMBFront05.eps][eps version]], [[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_2conv_gap_resolution_EMBFront05.pdf][pdf version]]<br><br>

[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_2conv_gap_resolution_EMBFront10.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_2conv_gap_resolution_EMBFront10.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_2conv_gap_resolution_EMBFront10.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_2conv_gap_resolution_EMBFront10.eps][eps version]], [[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_2conv_gap_resolution_EMBFront10.pdf][pdf version]]<br><br>

[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_2conv_gap_resolution_EMBMid05.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_2conv_gap_resolution_EMBMid05.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_2conv_gap_resolution_EMBMid05.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_2conv_gap_resolution_EMBMid05.eps][eps version]], [[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_2conv_gap_resolution_EMBMid05.pdf][pdf version]]<br><br>

[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_2conv_gap_resolution_EMBMid10.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_2conv_gap_resolution_EMBMid10.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_2conv_gap_resolution_EMBMid10.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_2conv_gap_resolution_EMBMid10.eps][eps version]], [[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_2conv_gap_resolution_EMBMid10.pdf][pdf version]]<br><br>

[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_2conv_gap_resolution_OuterEMEC20.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_2conv_gap_resolution_OuterEMEC20.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_2conv_gap_resolution_OuterEMEC20.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_2conv_gap_resolution_OuterEMEC20.eps][eps version]], [[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_2conv_gap_resolution_OuterEMEC20.pdf][pdf version]]<br><br>

</td>
</tr><tr>

<td bgcolor=#eeeeee>
Difference of the reconstructed and true transverse momentum magnitude (E<sub>T</sub>) as a function of the gap, i.e. the distance in units of bunch crossings (BC), between two consecutive energy deposits for the Optimal Filtering (OF) algorithm and a subsequent MaxFinder. Inputs to the OF are sampled pulses obtained from the simulation of an EMB Middle LAr cell (&eta;=0.5125 and &phi;=0.0125) with AREUS using <&mu;>=140. The structure at E<sub>T</sub><sup>pred</sup>-E<sub>T</sub><sup>true</sup>=-0.5 GeV arises, since only deposits with E<sub>T</sub><sup>true</sup> (including in-time pile-up) above 0.5 GeV are considered.
</td><td align="center">

[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_ofmax_gap_resolution_EMBMid.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_ofmax_gap_resolution_EMBMid.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_ofmax_gap_resolution_EMBMid.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_ofmax_gap_resolution_EMBMid.eps][eps version]], [[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_ofmax_gap_resolution_EMBMid.pdf][pdf version]]<br><br>

</td>
</tr><tr>

<td bgcolor=#eeeeee>
Distribution of the deviation between predicted and true transverse momentum magnitude (E<sub>T</sub>) for the Optimal Filtering Algorithm (OF) with MaxFinder (red), a four-layered Convolutional Neural Network with tagging part (orange) and a plain two-layered Convolutional Neural Network (blue). The histogram content is normalized to the number of total entries within the displayed axis range. Inputs to the filters are sampled pulses obtained from the simulation of an EMB Middle LAr cell (&eta;=0.5125 and &phi;=0.0125) with AREUS using <&mu;>=140. Artificial signal hits following a flat energy distribution up to 130 GeV with a gaussian distributed distance (&mu;=30, &sigma;=10 BC) are injected.<br>
<b>Top:</b> Only signals with E<sub>T</sub><sup>true</sup> lower than 0.5 GeV contribute.<br>
<b>Middle:</b> Only signals with E<sub>T</sub><sup>true</sup> larger than 0.5 GeV contribute.<br>
<b>Bottom:</b> Median with 68 % range and gaussian fitted mean with standard deviation for bins of E<sub>T</sub><sup>true</sup>.
</td><td align="center">

[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_deviation_distribution_lowE.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_deviation_distribution_lowE.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_deviation_distribution_lowE.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_deviation_distribution_lowE.eps][eps version]], [[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_deviation_distribution_lowE.pdf][pdf version]]<br><br>

[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_deviation_distribution_highE.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_deviation_distribution_highE.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_deviation_distribution_highE.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_deviation_distribution_highE.eps][eps version]], [[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_deviation_distribution_highE.pdf][pdf version]]<br><br>

[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_deviation_distribution_statistics.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_deviation_distribution_statistics.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_deviation_distribution_statistics.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_deviation_distribution_statistics.eps][eps version]], [[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_deviation_distribution_statistics.pdf][pdf version]]<br><br>

</td>
</tr><tr>

<td bgcolor=#eeeeee>
Spectrum of transverse momentum magnitude (E<sub>T</sub>) predictions for the two presented Artificial Neural Networks (orange, blue), compared to the Optimal Filter (OF) with MaxFinder, for bunch crossings without any energy deposit. E<sub>T</sub><sub>true</sub> includes in-time pile-up. The evaluation data stream was simulated for an EMB Middle LAr cell (&eta;=0.5125 and &phi;=0.0125) with AREUS using <&mu;>=140.
</td><td align="center">

[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_fakes.png][<img width="350" alt="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_fakes.png" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_fakes.png"></img>]] 
<br>
[[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_fakes.eps][eps version]], [[https://twiki.cern.ch/twiki/pub/AtlasPublic/LArCaloPublicResultsUpgrade/phase2_ann_cnn_fakes.pdf][pdf version]]<br><br>

</td>
</tr><tr>


</table>


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---+!! Local page variables

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To use the variable, just enclose it with %, like: !%IMG{name}% which will turn into %IMG{name}% automatically.

If you require to introduce a new variable, simply add it to the list below.
<noautolink>
   * Set IMGNAME = %IF{"attachments[name='%DEFAULT{default="fig1"}%.png']" then="%DEFAULT{default="fig1"}%.png" else="%IF{"attachments[name='%DEFAULT{default="fig1"}%.jpg']"  then="%DEFAULT{default="fig1"}%.jpg" else="%IF{"attachments[name='%DEFAULT{default="fig1"}%.jpeg']" then="%DEFAULT{default="fig1"}%.jpeg" else="File '%DEFAULT{default="fig1"}%' not found!"}%"}%"}%
   * Set IMGPATH = %ATTACHURLPATH%/%IMGNAME{%DEFAULT{default="fig1"}%}%
   * Set IMG = [[%IMGPATH{%DEFAULT{default="fig1"}%}%][<img width="%IMGSIZE{default="350"}%" alt="%IMGNAME{%DEFAULT{default="fig1"}%}%" src="%IMGPATH{%DEFAULT{default="fig1"}%}%"></img>]]
   * Set PDF = [[%ATTACHURLPATH%/%DEFAULT{default="fig1"}%.pdf][pdf version]]
   * Set EPS = [[%ATTACHURLPATH%/%DEFAULT{default="fig1"}%.eps][eps version]]
   * Set PLOT = %IMG{%DEFAULT{default="fig1"}%}%<br/>%EPS{%DEFAULT{default="fig1"}%}%, %PDF{%DEFAULT{default="fig1"}%}%
   * Set HALFPLOT = %IMG{"%DEFAULT{default="fig1"}%" IMGSIZE="175"}%<br/>%EPS{%DEFAULT{default="fig1"}%}%, %PDF{%DEFAULT{default="fig1"}%}%

</noautolink>
%ENDTWISTY%

<!--
%ENDSECTION{"LArPlotVariables"}%
-->

%STOPINCLUDE%

Attachments

Topic attachments
I	Attachment	History	Action	Size	Date	Who	Comment
eps	Event_0_Demonstrator_Full.eps	r1	manage	21.7 K	2017-09-12 - 14:03	SteffenStaerz	Demonstrator event display: event 0 (full)
pdf	Event_0_Demonstrator_Full.pdf	r1	manage	17.1 K	2017-09-12 - 14:03	SteffenStaerz	Demonstrator event display: event 0 (full)
png	Event_0_Demonstrator_Full.png	r2 r1	manage	96.2 K	2017-09-12 - 14:47	SteffenStaerz	Demonstrator event display: event 0 (full)
eps	Event_0_Demonstrator_Partial.eps	r1	manage	20.3 K	2017-09-12 - 14:04	SteffenStaerz	Demonstrator event display: event 0 (zoom)
pdf	Event_0_Demonstrator_Partial.pdf	r1	manage	16.6 K	2017-09-12 - 14:04	SteffenStaerz	Demonstrator event display: event 0 (zoom)
png	Event_0_Demonstrator_Partial.png	r3 r2 r1	manage	102.3 K	2017-09-12 - 14:48	SteffenStaerz	Demonstrator event display: event 0 (zoom)
eps	Event_0_Main_Full.eps	r1	manage	22.8 K	2017-09-12 - 14:03	SteffenStaerz	Demonstrator event display: event 0 (full)
pdf	Event_0_Main_Full.pdf	r1	manage	17.4 K	2017-09-12 - 14:03	SteffenStaerz	Demonstrator event display: event 0 (full)
png	Event_0_Main_Full.png	r2 r1	manage	98.4 K	2017-09-12 - 14:49	SteffenStaerz	Demonstrator event display: event 0 (full)
eps	Event_0_Main_Partial.eps	r1	manage	23.6 K	2017-09-12 - 14:04	SteffenStaerz	Demonstrator event display: event 0 (zoom)
pdf	Event_0_Main_Partial.pdf	r1	manage	17.7 K	2017-09-12 - 14:04	SteffenStaerz	Demonstrator event display: event 0 (zoom)
png	Event_0_Main_Partial.png	r3 r2 r1	manage	110.3 K	2017-09-12 - 14:50	SteffenStaerz	Demonstrator event display: event 0 (zoom)
eps	Event_1_Demonstrator.eps	r1	manage	22.2 K	2017-09-12 - 14:04	SteffenStaerz	Demonstrator event display: event 1
pdf	Event_1_Demonstrator.pdf	r1	manage	17.3 K	2017-09-12 - 14:04	SteffenStaerz	Demonstrator event display: event 1
png	Event_1_Demonstrator.png	r2 r1	manage	97.0 K	2017-09-12 - 14:51	SteffenStaerz	Demonstrator event display: event 1
eps	Event_1_Main.eps	r1	manage	23.9 K	2017-09-12 - 14:04	SteffenStaerz	Demonstrator event display: event 1
pdf	Event_1_Main.pdf	r1	manage	22.4 K	2017-09-12 - 14:04	SteffenStaerz	Demonstrator event display: event 1
png	Event_1_Main.png	r2 r1	manage	98.8 K	2017-09-12 - 14:51	SteffenStaerz	Demonstrator event display: event 1
eps	Event_2_Demonstrator.eps	r1	manage	22.3 K	2017-09-12 - 14:04	SteffenStaerz	Demonstrator event display: event 2
pdf	Event_2_Demonstrator.pdf	r1	manage	17.3 K	2017-09-12 - 14:04	SteffenStaerz	Demonstrator event display: event 2
png	Event_2_Demonstrator.png	r2 r1	manage	97.4 K	2017-09-12 - 14:52	SteffenStaerz	Demonstrator event display: event 2
eps	Event_2_Main.eps	r1	manage	26.2 K	2017-09-12 - 14:04	SteffenStaerz	Demonstrator event display: event 2
pdf	Event_2_Main.pdf	r1	manage	23.6 K	2017-09-12 - 14:04	SteffenStaerz	Demonstrator event display: event 2
png	Event_2_Main.png	r2 r1	manage	104.4 K	2017-09-12 - 14:53	SteffenStaerz	Demonstrator event display: event 2
eps	Event_3_Demonstrator.eps	r1	manage	22.8 K	2017-09-12 - 14:05	SteffenStaerz	Demonstrator event display: event 3
pdf	Event_3_Demonstrator.pdf	r1	manage	17.5 K	2017-09-12 - 14:05	SteffenStaerz	Demonstrator event display: event 3
png	Event_3_Demonstrator.png	r2 r1	manage	96.0 K	2017-09-12 - 14:53	SteffenStaerz	Demonstrator event display: event 3
eps	Event_3_Main.eps	r1	manage	21.4 K	2017-09-12 - 14:05	SteffenStaerz	Demonstrator event display: event 3
pdf	Event_3_Main.pdf	r1	manage	17.0 K	2017-09-12 - 14:05	SteffenStaerz	Demonstrator event display: event 3
png	Event_3_Main.png	r2 r1	manage	94.5 K	2017-09-12 - 14:54	SteffenStaerz	Demonstrator event display: event 3
eps	FADC_noise_poster.eps	r1	manage	17.1 K	2015-02-23 - 17:28	MartinAleksa	Phase I Upgrade Demonstrator Plots (eps)
png	FADC_noise_poster.png	r1	manage	14.0 K	2015-02-23 - 17:08	MartinAleksa	Phase I Upgrade Demonstrator Plots
eps	HL-LHC-NIEL-PSB-Region-FLUKA-RBTF2013-2x3000ifb.eps	r1	manage	20.2 K	2014-03-18 - 17:34	MartinAleksa	NIEL Simulations for HEC Cold Electronics in Phase II
jpg	HL-LHC-NIEL-PSB-Region-FLUKA-RBTF2013-2x3000ifb.jpg	r1	manage	237.6 K	2014-03-18 - 17:34	MartinAleksa	NIEL Simulations for HEC Cold Electronics in Phase II
pdf	HL-LHC-NIEL-PSB-Region-FLUKA-RBTF2013-2x3000ifb.pdf	r1	manage	11.0 K	2014-03-18 - 17:34	MartinAleksa	NIEL Simulations for HEC Cold Electronics in Phase II
eps	LTDB_noise.eps	r1	manage	136.9 K	2015-02-23 - 17:28	MartinAleksa	Phase I Upgrade Demonstrator Plots (eps)
png	LTDB_noise.png	r1	manage	14.2 K	2015-02-23 - 17:08	MartinAleksa	Phase I Upgrade Demonstrator Plots
eps	LTDB_pedestal.eps	r1	manage	153.2 K	2015-02-23 - 17:28	MartinAleksa	Phase I Upgrade Demonstrator Plots (eps)
png	LTDB_pedestal.png	r1	manage	15.9 K	2015-02-23 - 17:08	MartinAleksa	Phase I Upgrade Demonstrator Plots
eps	MedianDensityProfile_vs_eta.eps	r1	manage	41.3 K	2016-10-18 - 14:44	MartinAleksa
pdf	MedianDensityProfile_vs_eta.pdf	r1	manage	35.0 K	2016-10-18 - 14:44	MartinAleksa
png	MedianDensityProfile_vs_eta.png	r1	manage	28.0 K	2016-10-18 - 14:44	MartinAleksa
eps	NN_architektur_E2Conv_k76_Dil13_LN71.eps	r1	manage	169.9 K	2023-05-02 - 11:44	AnneSophieBerthold	Phase-II ANN performance and FPGA implementation
pdf	NN_architektur_E2Conv_k76_Dil13_LN71.pdf	r1	manage	105.6 K	2023-05-02 - 10:38	AnneSophieBerthold	Phase-II ANN performance and FPGA implementation
png	NN_architektur_E2Conv_k76_Dil13_LN71.png	r1	manage	288.8 K	2023-05-02 - 11:44	AnneSophieBerthold	Phase-II ANN performance and FPGA implementation
eps	NN_architektur_T2Conv_k37_Dil1_E2Conv_k58_Dil1_LN4.eps	r1	manage	196.2 K	2023-05-02 - 11:44	AnneSophieBerthold	Phase-II ANN performance and FPGA implementation
pdf	NN_architektur_T2Conv_k37_Dil1_E2Conv_k58_Dil1_LN4.pdf	r1	manage	118.3 K	2023-05-02 - 10:52	AnneSophieBerthold	Phase-II ANN performance and FPGA implementation
png	NN_architektur_T2Conv_k37_Dil1_E2Conv_k58_Dil1_LN4.png	r1	manage	261.0 K	2023-05-02 - 11:44	AnneSophieBerthold	Phase-II ANN performance and FPGA implementation
eps	PUSuppression_NJetsAndHSFraction_vs_PtCut.eps	r1	manage	23.5 K	2016-10-18 - 14:44	MartinAleksa
pdf	PUSuppression_NJetsAndHSFraction_vs_PtCut.pdf	r1	manage	21.2 K	2016-10-18 - 14:44	MartinAleksa
png	PUSuppression_NJetsAndHSFraction_vs_PtCut.png	r1	manage	30.0 K	2016-10-18 - 14:44	MartinAleksa
jpg	Poster_plots_approval_new.jpg	r1	manage	37.7 K	2015-02-23 - 17:19	MartinAleksa	CNF Explanation
eps	ROC-eff-eta38to42.eps	r1	manage	1596.5 K	2016-10-18 - 16:12	MartinAleksa
pdf	ROC-eff-eta38to42.pdf	r1	manage	690.8 K	2016-10-18 - 16:12	MartinAleksa
png	ROC-eff-eta38to42.png	r1	manage	655.0 K	2016-10-18 - 16:12	MartinAleksa
eps	ROC_effHS_pt20_extr_JES_preliminary.eps	r1	manage	13.7 K	2016-10-18 - 14:44	MartinAleksa
pdf	ROC_effHS_pt20_extr_JES_preliminary.pdf	r1	manage	19.1 K	2016-10-18 - 14:44	MartinAleksa
png	ROC_effHS_pt20_extr_JES_preliminary.png	r1	manage	27.9 K	2016-10-18 - 14:44	MartinAleksa
eps	Reta.eps	r1	manage	56.4 K	2018-07-04 - 15:42	PeterJohannesFalke	Shower shape variable R_eta
pdf	Reta.pdf	r1	manage	14.7 K	2018-07-04 - 15:42	PeterJohannesFalke	Shower shape variable R_eta
png	Reta.png	r1	manage	68.6 K	2018-07-04 - 15:42	PeterJohannesFalke	Shower shape variable R_eta
eps	Reta_log.eps	r1	manage	55.8 K	2018-07-04 - 15:42	PeterJohannesFalke	Shower shape variable R_eta
pdf	Reta_log.pdf	r1	manage	14.6 K	2018-07-04 - 15:42	PeterJohannesFalke	Shower shape variable R_eta
png	Reta_log.png	r1	manage	62.6 K	2018-07-04 - 15:42	PeterJohannesFalke	Shower shape variable R_eta
eps	Total_Noise.eps	r1	manage	10.7 K	2017-09-12 - 19:35	SteffenStaerz	Total Noise (HEC)
pdf	Total_Noise.pdf	r1	manage	14.2 K	2017-09-12 - 19:35	SteffenStaerz	Total Noise (HEC)
png	Total_Noise.png	r1	manage	114.4 K	2017-09-12 - 19:35	SteffenStaerz	Total Noise (HEC)
eps	cnf_poster.eps	r1	manage	8.8 K	2015-02-23 - 17:28	MartinAleksa	Phase I Upgrade Demonstrator Plots (eps)
png	cnf_poster.png	r1	manage	12.4 K	2015-02-23 - 17:08	MartinAleksa	Phase I Upgrade Demonstrator Plots
eps	comparison_energy_log.eps	r1	manage	56.8 K	2018-07-04 - 12:08	PeterJohannesFalke	Measured energy comparison by layer
pdf	comparison_energy_log.pdf	r1	manage	16.7 K	2018-07-04 - 12:08	PeterJohannesFalke	Measured energy comparison by layer
png	comparison_energy_log.png	r1	manage	79.9 K	2018-07-04 - 12:08	PeterJohannesFalke	Measured energy comparison by layer
eps	comparison_timing_log.eps	r1	manage	55.8 K	2018-07-04 - 14:36	PeterJohannesFalke	Measured timing resolution by layer
pdf	comparison_timing_log.pdf	r1	manage	16.6 K	2018-07-04 - 14:36	PeterJohannesFalke	Measured timing resolution by layer
png	comparison_timing_log.png	r1	manage	83.4 K	2018-07-04 - 14:36	PeterJohannesFalke	Measured timing resolution by layer
eps	cone.eps	r1	manage	58.5 K	2018-07-04 - 15:37	PeterJohannesFalke	Analysis of shower variables
pdf	cone.pdf	r1	manage	15.0 K	2018-07-04 - 15:37	PeterJohannesFalke	Analysis of shower variables
png	cone.png	r1	manage	77.3 K	2018-07-04 - 15:37	PeterJohannesFalke	Analysis of shower variables
eps	coneOverTotal.eps	r1	manage	56.9 K	2018-07-04 - 15:37	PeterJohannesFalke	Analysis of shower variables
pdf	coneOverTotal.pdf	r1	manage	14.8 K	2018-07-04 - 15:37	PeterJohannesFalke	Analysis of shower variables
png	coneOverTotal.png	r1	manage	68.8 K	2018-07-04 - 15:37	PeterJohannesFalke	Analysis of shower variables
eps	coneOverTotal_log.eps	r1	manage	57.8 K	2018-07-04 - 15:38	PeterJohannesFalke	Analysis of shower properties
pdf	coneOverTotal_log.pdf	r1	manage	15.0 K	2018-07-04 - 15:38	PeterJohannesFalke	Analysis of shower properties
png	coneOverTotal_log.png	r1	manage	67.2 K	2018-07-04 - 15:38	PeterJohannesFalke	Analysis of shower properties
eps	cone_log.eps	r1	manage	58.0 K	2018-07-04 - 15:37	PeterJohannesFalke	Analysis of shower variables
pdf	cone_log.pdf	r1	manage	14.9 K	2018-07-04 - 15:37	PeterJohannesFalke	Analysis of shower variables
png	cone_log.png	r1	manage	71.9 K	2018-07-04 - 15:37	PeterJohannesFalke	Analysis of shower variables
eps	difference_back.eps	r1	manage	9.2 K	2017-09-12 - 14:01	SteffenStaerz	Demonstrator energy measurement
pdf	difference_back.pdf	r1	manage	13.8 K	2017-09-12 - 14:01	SteffenStaerz	Demonstrator energy measurement
png	difference_back.png	r2 r1	manage	25.7 K	2017-09-12 - 14:55	SteffenStaerz	Demonstrator energy measurement
eps	difference_front.eps	r1	manage	9.0 K	2017-09-12 - 14:01	SteffenStaerz	Demonstrator energy measurement
pdf	difference_front.pdf	r1	manage	13.7 K	2017-09-12 - 14:01	SteffenStaerz	Demonstrator energy measurement
png	difference_front.png	r2 r1	manage	25.4 K	2017-09-12 - 14:55	SteffenStaerz	Demonstrator energy measurement
eps	difference_middle.eps	r1	manage	9.8 K	2017-09-12 - 14:02	SteffenStaerz	Demonstrator energy measurement
pdf	difference_middle.pdf	r1	manage	13.9 K	2017-09-12 - 14:02	SteffenStaerz	Demonstrator energy measurement
png	difference_middle.png	r2 r1	manage	28.3 K	2017-09-12 - 14:55	SteffenStaerz	Demonstrator energy measurement
eps	difference_presampler.eps	r1	manage	9.5 K	2017-09-12 - 14:02	SteffenStaerz	Demonstrator energy measurement
pdf	difference_presampler.pdf	r1	manage	13.9 K	2017-09-12 - 14:02	SteffenStaerz	Demonstrator energy measurement
png	difference_presampler.png	r2 r1	manage	26.6 K	2017-09-12 - 14:55	SteffenStaerz	Demonstrator energy measurement
eps	energyResol.eps	r1	manage	56.9 K	2018-07-04 - 15:38	PeterJohannesFalke	Analysis of shower properties
pdf	energyResol.pdf	r1	manage	14.3 K	2018-07-04 - 15:38	PeterJohannesFalke	Analysis of shower properties
png	energyResol.png	r1	manage	69.8 K	2018-07-04 - 15:38	PeterJohannesFalke	Analysis of shower properties
eps	energyResol_log.eps	r1	manage	57.8 K	2018-07-04 - 15:38	PeterJohannesFalke	Analysis of shower properties
pdf	energyResol_log.pdf	r1	manage	14.5 K	2018-07-04 - 15:38	PeterJohannesFalke	Analysis of shower properties
png	energyResol_log.png	r1	manage	71.8 K	2018-07-04 - 15:38	PeterJohannesFalke	Analysis of shower properties
eps	extractionMethods_front_average.eps	r1	manage	68.2 K	2018-03-05 - 14:24	SteffenStaerz	Demonstrator pulse shape extraction methods
pdf	extractionMethods_front_average.pdf	r1	manage	25.8 K	2018-03-05 - 14:24	SteffenStaerz	Demonstrator pulse shape extraction methods
png	extractionMethods_front_average.png	r1	manage	57.6 K	2018-03-05 - 14:24	SteffenStaerz	Demonstrator pulse shape extraction methods
eps	extractionMethods_front_hist.eps	r1	manage	68.9 K	2018-03-05 - 14:24	SteffenStaerz	Demonstrator pulse shape extraction methods
pdf	extractionMethods_front_hist.pdf	r1	manage	25.9 K	2018-03-05 - 14:24	SteffenStaerz	Demonstrator pulse shape extraction methods
png	extractionMethods_front_hist.png	r1	manage	57.7 K	2018-03-05 - 14:24	SteffenStaerz	Demonstrator pulse shape extraction methods
eps	extractionMethods_front_maxE.eps	r1	manage	68.4 K	2018-03-05 - 14:24	SteffenStaerz	Demonstrator pulse shape extraction methods
pdf	extractionMethods_front_maxE.pdf	r1	manage	25.5 K	2018-03-05 - 14:24	SteffenStaerz	Demonstrator pulse shape extraction methods
png	extractionMethods_front_maxE.png	r1	manage	58.6 K	2018-03-05 - 14:24	SteffenStaerz	Demonstrator pulse shape extraction methods
eps	f3.eps	r1	manage	55.7 K	2018-07-04 - 15:42	PeterJohannesFalke	Shower shape variable f3
pdf	f3.pdf	r1	manage	14.6 K	2018-07-04 - 15:42	PeterJohannesFalke	Shower shape variable f3
png	f3.png	r1	manage	62.0 K	2018-07-04 - 15:42	PeterJohannesFalke	Shower shape variable f3
eps	f3_log.eps	r1	manage	56.3 K	2018-07-04 - 15:42	PeterJohannesFalke	Shower shape variable f3
pdf	f3_log.pdf	r1	manage	14.7 K	2018-07-04 - 15:42	PeterJohannesFalke	Shower shape variable f3
png	f3_log.png	r1	manage	63.3 K	2018-07-04 - 15:42	PeterJohannesFalke	Shower shape variable f3
eps	fig1.eps	r2 r1	manage	980.0 K	2015-11-12 - 16:59	MartinAleksa	Demonstrator SC Plots (eps)
pdf	fig1.pdf	r2 r1	manage	70.2 K	2015-11-12 - 17:00	MartinAleksa	Demonstrator SC Plots (pdf)
png	fig1.png	r2 r1	manage	84.7 K	2015-11-12 - 16:58	MartinAleksa	Demonstrator SC plots (png)
eps	fig2.eps	r2 r1	manage	20.1 K	2015-11-12 - 16:59	MartinAleksa	Demonstrator SC Plots (eps)
pdf	fig2.pdf	r2 r1	manage	10.0 K	2015-11-12 - 17:00	MartinAleksa	Demonstrator SC Plots (pdf)
png	fig2.png	r2 r1	manage	63.0 K	2015-11-12 - 16:58	MartinAleksa	Demonstrator SC plots (png)
eps	fig3.eps	r2 r1	manage	20.8 K	2015-11-12 - 16:59	MartinAleksa	Demonstrator SC Plots (eps)
pdf	fig3.pdf	r2 r1	manage	10.5 K	2015-11-12 - 17:00	MartinAleksa	Demonstrator SC Plots (pdf)
png	fig3.png	r2 r1	manage	64.2 K	2015-11-12 - 16:58	MartinAleksa	Demonstrator SC plots (png)
eps	fig4.eps	r2 r1	manage	29.8 K	2015-11-12 - 16:59	MartinAleksa	Demonstrator SC Plots (eps)
pdf	fig4.pdf	r2 r1	manage	14.3 K	2015-11-12 - 17:00	MartinAleksa	Demonstrator SC Plots (pdf)
png	fig4.png	r2 r1	manage	66.1 K	2015-11-12 - 16:58	MartinAleksa	Demonstrator SC plots (png)
eps	fig5.eps	r2 r1	manage	26.6 K	2015-11-12 - 16:59	MartinAleksa	Demonstrator SC Plots (eps)
pdf	fig5.pdf	r2 r1	manage	12.9 K	2015-11-12 - 17:00	MartinAleksa	Demonstrator SC Plots (pdf)
png	fig5.png	r2 r1	manage	69.0 K	2015-11-12 - 16:58	MartinAleksa	Demonstrator SC plots (png)
eps	fig6.eps	r2 r1	manage	115.9 K	2015-11-12 - 16:59	MartinAleksa	Demonstrator SC Plots (eps)
pdf	fig6.pdf	r2 r1	manage	84.1 K	2015-11-12 - 17:00	MartinAleksa	Demonstrator SC Plots (pdf)
png	fig6.png	r2 r1	manage	104.8 K	2015-11-12 - 16:58	MartinAleksa	Demonstrator SC plots (png)
eps	fig7.eps	r2 r1	manage	9.5 K	2015-11-12 - 16:59	MartinAleksa	Demonstrator SC Plots (eps)
pdf	fig7.pdf	r2 r1	manage	5.0 K	2015-11-12 - 17:00	MartinAleksa	Demonstrator SC Plots (pdf)
png	fig7.png	r2 r1	manage	27.5 K	2015-11-12 - 16:58	MartinAleksa	Demonstrator SC plots (png)
eps	fig8.eps	r2 r1	manage	10.1 K	2015-11-12 - 16:59	MartinAleksa	Demonstrator SC Plots (eps)
pdf	fig8.pdf	r2 r1	manage	5.3 K	2015-11-12 - 17:00	MartinAleksa	Demonstrator SC Plots (pdf)
png	fig8.png	r2 r1	manage	29.0 K	2015-11-12 - 16:58	MartinAleksa	Demonstrator SC plots (png)
eps	intr_electr_res_fl_prel.eps	r1	manage	20.2 K	2017-09-14 - 14:31	SteffenStaerz	Quantization noise
pdf	intr_electr_res_fl_prel.pdf	r1	manage	25.1 K	2017-09-14 - 14:31	SteffenStaerz	Quantization noise
png	intr_electr_res_fl_prel.png	r1	manage	43.5 K	2017-09-14 - 14:31	SteffenStaerz	Quantization noise
eps	intr_electr_res_ml_prel.eps	r1	manage	20.4 K	2017-09-14 - 14:31	SteffenStaerz	Quantization noise
pdf	intr_electr_res_ml_prel.pdf	r1	manage	25.0 K	2017-09-14 - 14:31	SteffenStaerz	Quantization noise
png	intr_electr_res_ml_prel.png	r1	manage	45.2 K	2017-09-14 - 14:31	SteffenStaerz	Quantization noise
eps	noise_tot_ratio_sFCal_SmallGaps_over_FCal_mu200-new_prelim.eps	r1	manage	22.1 K	2016-10-18 - 14:43	MartinAleksa
pdf	noise_tot_ratio_sFCal_SmallGaps_over_FCal_mu200-new_prelim.pdf	r1	manage	21.8 K	2016-10-18 - 14:43	MartinAleksa
png	noise_tot_ratio_sFCal_SmallGaps_over_FCal_mu200-new_prelim.png	r1	manage	23.0 K	2016-10-18 - 14:43	MartinAleksa
eps	phase2_ann_LSTM_singlecell_archi.eps	r1	manage	123.5 K	2021-06-21 - 18:13	ThomasPhilippeCalvet	Phase-II ANN performance and FPGA implementation
pdf	phase2_ann_LSTM_singlecell_archi.pdf	r1	manage	43.0 K	2021-06-21 - 18:13	ThomasPhilippeCalvet	Phase-II ANN performance and FPGA implementation
png	phase2_ann_LSTM_singlecell_archi.png	r1	manage	31.5 K	2021-06-21 - 18:13	ThomasPhilippeCalvet	Phase-II ANN performance and FPGA implementation
eps	phase2_ann_LSTM_slidewindow_archi.eps	r1	manage	335.6 K	2021-06-21 - 18:14	ThomasPhilippeCalvet	Phase-II ANN performance and FPGA implementation
pdf	phase2_ann_LSTM_slidewindow_archi.pdf	r1	manage	98.1 K	2021-06-21 - 18:14	ThomasPhilippeCalvet	Phase-II ANN performance and FPGA implementation
png	phase2_ann_LSTM_slidewindow_archi.png	r1	manage	159.9 K	2021-06-21 - 18:14	ThomasPhilippeCalvet	Phase-II ANN performance and FPGA implementation
eps	phase2_ann_ROC.eps	r1	manage	169.7 K	2021-06-21 - 15:40	ArnoStraessner	Phase-II ANN performance and FPGA implementation
pdf	phase2_ann_ROC.pdf	r1	manage	70.5 K	2021-06-21 - 15:40	ArnoStraessner	Phase-II ANN performance and FPGA implementation
png	phase2_ann_ROC.png	r1	manage	103.4 K	2021-06-21 - 15:40	ArnoStraessner	Phase-II ANN performance and FPGA implementation
eps	phase2_ann_cnn_2conv_gap_resolution_EMBFront05.eps	r1	manage	75.9 K	2023-05-02 - 11:48	AnneSophieBerthold	Phase-II ANN performance and FPGA implementation
pdf	phase2_ann_cnn_2conv_gap_resolution_EMBFront05.pdf	r1	manage	49.1 K	2023-05-02 - 11:48	AnneSophieBerthold	Phase-II ANN performance and FPGA implementation
png	phase2_ann_cnn_2conv_gap_resolution_EMBFront05.png	r1	manage	56.3 K	2023-05-02 - 11:48	AnneSophieBerthold	Phase-II ANN performance and FPGA implementation
eps	phase2_ann_cnn_2conv_gap_resolution_EMBFront10.eps	r1	manage	69.7 K	2023-05-02 - 11:48	AnneSophieBerthold	Phase-II ANN performance and FPGA implementation
pdf	phase2_ann_cnn_2conv_gap_resolution_EMBFront10.pdf	r1	manage	46.9 K	2023-05-02 - 11:48	AnneSophieBerthold	Phase-II ANN performance and FPGA implementation
png	phase2_ann_cnn_2conv_gap_resolution_EMBFront10.png	r1	manage	54.9 K	2023-05-02 - 11:48	AnneSophieBerthold	Phase-II ANN performance and FPGA implementation
eps	phase2_ann_cnn_2conv_gap_resolution_EMBMid05.eps	r1	manage	80.4 K	2023-05-02 - 11:48	AnneSophieBerthold	Phase-II ANN performance and FPGA implementation
pdf	phase2_ann_cnn_2conv_gap_resolution_EMBMid05.pdf	r1	manage	50.3 K	2023-05-02 - 11:48	AnneSophieBerthold	Phase-II ANN performance and FPGA implementation
png	phase2_ann_cnn_2conv_gap_resolution_EMBMid05.png	r1	manage	57.9 K	2023-05-02 - 11:48	AnneSophieBerthold	Phase-II ANN performance and FPGA implementation
eps	phase2_ann_cnn_2conv_gap_resolution_EMBMid10.eps	r1	manage	79.1 K	2023-05-02 - 11:47	AnneSophieBerthold	Phase-II ANN performance and FPGA implementation
pdf	phase2_ann_cnn_2conv_gap_resolution_EMBMid10.pdf	r1	manage	49.7 K	2023-05-02 - 11:47	AnneSophieBerthold	Phase-II ANN performance and FPGA implementation
png	phase2_ann_cnn_2conv_gap_resolution_EMBMid10.png	r1	manage	57.8 K	2023-05-02 - 11:47	AnneSophieBerthold	Phase-II ANN performance and FPGA implementation
eps	phase2_ann_cnn_2conv_gap_resolution_EMBPres05.eps	r1	manage	80.1 K	2023-05-02 - 11:47	AnneSophieBerthold	Phase-II ANN performance and FPGA implementation
pdf	phase2_ann_cnn_2conv_gap_resolution_EMBPres05.pdf	r1	manage	52.1 K	2023-05-02 - 11:47	AnneSophieBerthold	Phase-II ANN performance and FPGA implementation
png	phase2_ann_cnn_2conv_gap_resolution_EMBPres05.png	r1	manage	59.5 K	2023-05-02 - 11:47	AnneSophieBerthold	Phase-II ANN performance and FPGA implementation
eps	phase2_ann_cnn_2conv_gap_resolution_OuterEMEC20.eps	r1	manage	74.0 K	2023-05-02 - 11:47	AnneSophieBerthold	Phase-II ANN performance and FPGA implementation
pdf	phase2_ann_cnn_2conv_gap_resolution_OuterEMEC20.pdf	r1	manage	48.9 K	2023-05-02 - 11:47	AnneSophieBerthold	Phase-II ANN performance and FPGA implementation
png	phase2_ann_cnn_2conv_gap_resolution_OuterEMEC20.png	r1	manage	55.2 K	2023-05-02 - 11:47	AnneSophieBerthold	Phase-II ANN performance and FPGA implementation
eps	phase2_ann_cnn_4conv_gap_resolution_EMBMid05.eps	r1	manage	84.8 K	2023-05-02 - 11:47	AnneSophieBerthold	Phase-II ANN performance and FPGA implementation
pdf	phase2_ann_cnn_4conv_gap_resolution_EMBMid05.pdf	r1	manage	51.9 K	2023-05-02 - 11:47	AnneSophieBerthold	Phase-II ANN performance and FPGA implementation
png	phase2_ann_cnn_4conv_gap_resolution_EMBMid05.png	r1	manage	60.5 K	2023-05-02 - 11:47	AnneSophieBerthold	Phase-II ANN performance and FPGA implementation
eps	phase2_ann_cnn_architecture.eps	r1	manage	253.6 K	2021-06-21 - 15:40	ArnoStraessner	Phase-II ANN performance and FPGA implementation
pdf	phase2_ann_cnn_architecture.pdf	r1	manage	80.2 K	2021-06-21 - 15:40	ArnoStraessner	Phase-II ANN performance and FPGA implementation
png	phase2_ann_cnn_architecture.png	r1	manage	171.5 K	2021-06-21 - 15:40	ArnoStraessner	Phase-II ANN performance and FPGA implementation
eps	phase2_ann_cnn_deviation_distribution_highE.eps	r1	manage	57.7 K	2023-05-02 - 11:48	AnneSophieBerthold	Phase-II ANN performance and FPGA implementation
pdf	phase2_ann_cnn_deviation_distribution_highE.pdf	r1	manage	33.2 K	2023-05-02 - 11:48	AnneSophieBerthold	Phase-II ANN performance and FPGA implementation
png	phase2_ann_cnn_deviation_distribution_highE.png	r1	manage	65.2 K	2023-05-02 - 11:48	AnneSophieBerthold	Phase-II ANN performance and FPGA implementation
eps	phase2_ann_cnn_deviation_distribution_lowE.eps	r1	manage	59.6 K	2023-05-02 - 11:48	AnneSophieBerthold	Phase-II ANN performance and FPGA implementation
pdf	phase2_ann_cnn_deviation_distribution_lowE.pdf	r1	manage	33.6 K	2023-05-02 - 11:48	AnneSophieBerthold	Phase-II ANN performance and FPGA implementation
png	phase2_ann_cnn_deviation_distribution_lowE.png	r1	manage	64.8 K	2023-05-02 - 11:48	AnneSophieBerthold	Phase-II ANN performance and FPGA implementation
eps	phase2_ann_cnn_deviation_distribution_statistics.eps	r1	manage	104.2 K	2023-05-02 - 11:48	AnneSophieBerthold	Phase-II ANN performance and FPGA implementation
pdf	phase2_ann_cnn_deviation_distribution_statistics.pdf	r1	manage	38.5 K	2023-05-02 - 11:48	AnneSophieBerthold	Phase-II ANN performance and FPGA implementation
png	phase2_ann_cnn_deviation_distribution_statistics.png	r1	manage	92.0 K	2023-05-02 - 11:48	AnneSophieBerthold	Phase-II ANN performance and FPGA implementation
eps	phase2_ann_cnn_fakes.eps	r1	manage	59.0 K	2023-05-02 - 11:46	AnneSophieBerthold	Phase-II ANN performance and FPGA implementation
pdf	phase2_ann_cnn_fakes.pdf	r1	manage	34.2 K	2023-05-02 - 11:46	AnneSophieBerthold	Phase-II ANN performance and FPGA implementation
png	phase2_ann_cnn_fakes.png	r1	manage	58.9 K	2023-05-02 - 11:46	AnneSophieBerthold	Phase-II ANN performance and FPGA implementation
eps	phase2_ann_cnn_gap_resolution.eps	r1	manage	127.1 K	2021-06-21 - 18:13	ThomasPhilippeCalvet	Phase-II ANN performance and FPGA implementation
pdf	phase2_ann_cnn_gap_resolution.pdf	r1	manage	34.3 K	2021-06-21 - 18:13	ThomasPhilippeCalvet	Phase-II ANN performance and FPGA implementation
png	phase2_ann_cnn_gap_resolution.png	r1	manage	25.9 K	2021-06-21 - 18:13	ThomasPhilippeCalvet	Phase-II ANN performance and FPGA implementation
eps	phase2_ann_cnn_sequence.eps	r1	manage	136.0 K	2021-06-21 - 15:40	ArnoStraessner	Phase-II ANN performance and FPGA implementation
pdf	phase2_ann_cnn_sequence.pdf	r1	manage	55.2 K	2021-06-21 - 15:40	ArnoStraessner	Phase-II ANN performance and FPGA implementation
png	phase2_ann_cnn_sequence.png	r1	manage	100.4 K	2021-06-21 - 15:40	ArnoStraessner	Phase-II ANN performance and FPGA implementation
eps	phase2_ann_cnn_vs_of_sequence.eps	r1	manage	62.4 K	2023-05-02 - 11:46	AnneSophieBerthold	Phase-II ANN performance and FPGA implementation
pdf	phase2_ann_cnn_vs_of_sequence.pdf	r1	manage	33.1 K	2023-05-02 - 11:46	AnneSophieBerthold	Phase-II ANN performance and FPGA implementation
png	phase2_ann_cnn_vs_of_sequence.png	r1	manage	72.9 K	2023-05-02 - 11:46	AnneSophieBerthold	Phase-II ANN performance and FPGA implementation
eps	phase2_ann_hlsVScpp_reso.eps	r1	manage	14.0 K	2021-06-21 - 18:13	ThomasPhilippeCalvet	Phase-II ANN performance and FPGA implementation
pdf	phase2_ann_hlsVScpp_reso.pdf	r1	manage	14.9 K	2021-06-21 - 18:13	ThomasPhilippeCalvet	Phase-II ANN performance and FPGA implementation
png	phase2_ann_hlsVScpp_reso.png	r1	manage	20.4 K	2021-06-21 - 18:13	ThomasPhilippeCalvet	Phase-II ANN performance and FPGA implementation
eps	phase2_ann_lstm_singlecell_gap_resolution.eps	r1	manage	131.6 K	2021-06-21 - 18:14	ThomasPhilippeCalvet	Phase-II ANN performance and FPGA implementation
pdf	phase2_ann_lstm_singlecell_gap_resolution.pdf	r1	manage	33.5 K	2021-06-21 - 18:14	ThomasPhilippeCalvet	Phase-II ANN performance and FPGA implementation
png	phase2_ann_lstm_singlecell_gap_resolution.png	r1	manage	26.9 K	2021-06-21 - 18:14	ThomasPhilippeCalvet	Phase-II ANN performance and FPGA implementation
eps	phase2_ann_ofmax_gap_resolution.eps	r1	manage	139.5 K	2021-06-21 - 18:15	ThomasPhilippeCalvet	Phase-II ANN performance and FPGA implementation
pdf	phase2_ann_ofmax_gap_resolution.pdf	r1	manage	34.7 K	2021-06-21 - 18:15	ThomasPhilippeCalvet	Phase-II ANN performance and FPGA implementation
png	phase2_ann_ofmax_gap_resolution.png	r1	manage	27.6 K	2021-06-21 - 18:15	ThomasPhilippeCalvet	Phase-II ANN performance and FPGA implementation
eps	phase2_ann_ofmax_gap_resolution_EMBMid.eps	r1	manage	78.8 K	2023-05-02 - 11:47	AnneSophieBerthold	Phase-II ANN performance and FPGA implementation
pdf	phase2_ann_ofmax_gap_resolution_EMBMid.pdf	r1	manage	50.5 K	2023-05-02 - 11:47	AnneSophieBerthold	Phase-II ANN performance and FPGA implementation
png	phase2_ann_ofmax_gap_resolution_EMBMid.png	r1	manage	57.7 K	2023-05-02 - 11:47	AnneSophieBerthold	Phase-II ANN performance and FPGA implementation
eps	phase2_ann_perf_summary_plot.eps	r1	manage	13.5 K	2021-06-21 - 18:15	ThomasPhilippeCalvet	Phase-II ANN performance and FPGA implementation
pdf	phase2_ann_perf_summary_plot.pdf	r1	manage	14.3 K	2021-06-21 - 18:15	ThomasPhilippeCalvet	Phase-II ANN performance and FPGA implementation
png	phase2_ann_perf_summary_plot.png	r1	manage	16.4 K	2021-06-21 - 18:15	ThomasPhilippeCalvet	Phase-II ANN performance and FPGA implementation
eps	phase2_ann_vrnn_gap_resolution.eps	r1	manage	130.8 K	2021-06-21 - 18:15	ThomasPhilippeCalvet	Phase-II ANN performance and FPGA implementation
pdf	phase2_ann_vrnn_gap_resolution.pdf	r1	manage	33.2 K	2021-06-21 - 18:15	ThomasPhilippeCalvet	Phase-II ANN performance and FPGA implementation
png	phase2_ann_vrnn_gap_resolution.png	r1	manage	26.8 K	2021-06-21 - 18:15	ThomasPhilippeCalvet	Phase-II ANN performance and FPGA implementation
eps	pulseRelEDev_Ebinned_middle_RMS.eps	r1	manage	55.7 K	2018-07-04 - 12:08	PeterJohannesFalke	Measured energy comparison by layer
pdf	pulseRelEDev_Ebinned_middle_RMS.pdf	r1	manage	15.3 K	2018-07-04 - 12:08	PeterJohannesFalke	Measured energy comparison by layer
png	pulseRelEDev_Ebinned_middle_RMS.png	r1	manage	76.6 K	2018-07-04 - 12:08	PeterJohannesFalke	Measured energy comparison by layer
eps	pulseShape_back.eps	r1	manage	69.4 K	2018-03-05 - 14:25	SteffenStaerz	Demonstrator pulse shapes
pdf	pulseShape_back.pdf	r1	manage	26.0 K	2018-03-05 - 14:25	SteffenStaerz	Demonstrator pulse shapes
png	pulseShape_back.png	r1	manage	59.6 K	2018-03-05 - 14:25	SteffenStaerz	Demonstrator pulse shapes
eps	pulseShape_front.eps	r1	manage	68.9 K	2018-03-05 - 14:27	SteffenStaerz	Demonstrator pulse shapes
pdf	pulseShape_front.pdf	r1	manage	25.9 K	2018-03-05 - 14:25	SteffenStaerz	Demonstrator pulse shapes
png	pulseShape_front.png	r1	manage	57.7 K	2018-03-05 - 14:25	SteffenStaerz	Demonstrator pulse shapes
eps	pulseShape_middle.eps	r1	manage	68.9 K	2018-03-05 - 14:27	SteffenStaerz	Demonstrator pulse shapes
pdf	pulseShape_middle.pdf	r1	manage	25.9 K	2018-03-05 - 14:27	SteffenStaerz	Demonstrator pulse shapes
png	pulseShape_middle.png	r1	manage	58.2 K	2018-03-05 - 14:27	SteffenStaerz	Demonstrator pulse shapes
eps	pulseShape_presampler.eps	r1	manage	69.3 K	2018-03-05 - 14:27	SteffenStaerz	Demonstrator pulse shapes
pdf	pulseShape_presampler.pdf	r1	manage	26.1 K	2018-03-05 - 14:27	SteffenStaerz	Demonstrator pulse shapes
png	pulseShape_presampler.png	r1	manage	60.5 K	2018-03-05 - 14:27	SteffenStaerz	Demonstrator pulse shapes
eps	pulseTiming_Ebinned_middle_RMS.eps	r1	manage	53.1 K	2018-07-04 - 14:36	PeterJohannesFalke	Measured timing resolution by layer
pdf	pulseTiming_Ebinned_middle_RMS.pdf	r1	manage	37.0 K	2018-07-04 - 14:36	PeterJohannesFalke	Measured timing resolution by layer
png	pulseTiming_Ebinned_middle_RMS.png	r1	manage	71.7 K	2018-07-04 - 14:36	PeterJohannesFalke	Measured timing resolution by layer
eps	pulseTiming_back.eps	r1	manage	31.5 K	2018-03-05 - 14:29	SteffenStaerz	Demonstrator timing distribution
pdf	pulseTiming_back.pdf	r1	manage	13.5 K	2018-03-05 - 14:29	SteffenStaerz	Demonstrator timing distribution
png	pulseTiming_back.png	r1	manage	36.7 K	2018-03-05 - 14:29	SteffenStaerz	Demonstrator timing distribution
eps	pulseTiming_front.eps	r1	manage	30.5 K	2018-03-05 - 14:29	SteffenStaerz	Demonstrator timing distribution
pdf	pulseTiming_front.pdf	r1	manage	13.5 K	2018-03-05 - 14:29	SteffenStaerz	Demonstrator timing distribution
png	pulseTiming_front.png	r1	manage	34.6 K	2018-03-05 - 14:29	SteffenStaerz	Demonstrator timing distribution
eps	pulseTiming_middle.eps	r1	manage	31.1 K	2018-03-05 - 14:29	SteffenStaerz	Demonstrator timing distribution
pdf	pulseTiming_middle.pdf	r1	manage	13.4 K	2018-03-05 - 14:29	SteffenStaerz	Demonstrator timing distribution
png	pulseTiming_middle.png	r1	manage	34.3 K	2018-03-05 - 14:29	SteffenStaerz	Demonstrator timing distribution
eps	pulseTiming_presampler.eps	r1	manage	31.2 K	2018-03-05 - 14:29	SteffenStaerz	Demonstrator timing distribution
pdf	pulseTiming_presampler.pdf	r1	manage	13.5 K	2018-03-05 - 14:29	SteffenStaerz	Demonstrator timing distribution
png	pulseTiming_presampler.png	r1	manage	35.9 K	2018-03-05 - 14:29	SteffenStaerz	Demonstrator timing distribution
eps	relEDev_Mean_etaDep_19.eps	r1	manage	84.6 K	2018-07-04 - 15:36	PeterJohannesFalke	Energy overview plots
pdf	relEDev_Mean_etaDep_19.pdf	r1	manage	21.5 K	2018-07-04 - 15:36	PeterJohannesFalke	Energy overview plots
png	relEDev_Mean_etaDep_19.png	r1	manage	143.1 K	2018-07-04 - 15:36	PeterJohannesFalke	Energy overview plots
eps	relEDev_RMS_etaDep_19.eps	r1	manage	86.3 K	2018-07-04 - 15:36	PeterJohannesFalke	Energy overview plots
pdf	relEDev_RMS_etaDep_19.pdf	r1	manage	22.5 K	2018-07-04 - 15:36	PeterJohannesFalke	Energy overview plots
png	relEDev_RMS_etaDep_19.png	r1	manage	142.7 K	2018-07-04 - 15:36	PeterJohannesFalke	Energy overview plots
eps	sFCalReview_CellSig_VBF2600_prelim.eps	r1	manage	19.3 K	2016-10-18 - 14:43	MartinAleksa
pdf	sFCalReview_CellSig_VBF2600_prelim.pdf	r1	manage	16.2 K	2016-10-18 - 14:43	MartinAleksa
png	sFCalReview_CellSig_VBF2600_prelim.png	r1	manage	26.8 K	2016-10-18 - 14:43	MartinAleksa
eps	sFCalReview_NConst_VBF2600_prelim.eps	r1	manage	28.8 K	2016-10-18 - 14:43	MartinAleksa
pdf	sFCalReview_NConst_VBF2600_prelim.pdf	r1	manage	23.8 K	2016-10-18 - 14:43	MartinAleksa
png	sFCalReview_NConst_VBF2600_prelim.png	r1	manage	28.1 K	2016-10-18 - 14:43	MartinAleksa
eps	scatter_back.eps	r1	manage	13.2 K	2017-09-12 - 14:06	SteffenStaerz	Demonstrator energy measurement
pdf	scatter_back.pdf	r1	manage	15.2 K	2017-09-12 - 14:06	SteffenStaerz	Demonstrator energy measurement
png	scatter_back.png	r2 r1	manage	83.9 K	2017-09-12 - 14:55	SteffenStaerz	Demonstrator energy measurement
eps	scatter_front.eps	r1	manage	14.0 K	2017-09-12 - 14:06	SteffenStaerz	Demonstrator energy measurement
pdf	scatter_front.pdf	r1	manage	15.4 K	2017-09-12 - 14:06	SteffenStaerz	Demonstrator energy measurement
png	scatter_front.png	r3 r2 r1	manage	87.0 K	2017-09-12 - 14:55	SteffenStaerz	Demonstrator energy measurement
eps	scatter_middle.eps	r1	manage	18.2 K	2017-09-12 - 14:07	SteffenStaerz	Demonstrator energy measurement
pdf	scatter_middle.pdf	r1	manage	16.6 K	2017-09-12 - 14:07	SteffenStaerz	Demonstrator energy measurement
png	scatter_middle.png	r2 r1	manage	95.1 K	2017-09-12 - 14:55	SteffenStaerz	Demonstrator energy measurement
eps	scatter_presampler.eps	r1	manage	14.6 K	2017-09-12 - 14:07	SteffenStaerz	Demonstrator energy measurement
pdf	scatter_presampler.pdf	r1	manage	15.4 K	2017-09-12 - 14:07	SteffenStaerz	Demonstrator energy measurement
png	scatter_presampler.png	r3 r2 r1	manage	85.0 K	2017-09-12 - 14:55	SteffenStaerz	Demonstrator energy measurement
eps	shaper.eps	r1	manage	13.8 K	2017-09-12 - 15:29	SteffenStaerz	Total Noise, bipolar shaper
pdf	shaper.pdf	r1	manage	14.4 K	2017-09-12 - 15:29	SteffenStaerz	Total Noise, bipolar shaper
png	shaper.png	r1	manage	14.5 K	2017-09-12 - 15:29	SteffenStaerz	Total Noise, bipolar shaper
eps	timing_Mean_etaDep_19.eps	r1	manage	85.1 K	2018-07-04 - 15:35	PeterJohannesFalke	Timing overview plots
pdf	timing_Mean_etaDep_19.pdf	r1	manage	21.7 K	2018-07-04 - 15:35	PeterJohannesFalke	Timing overview plots
png	timing_Mean_etaDep_19.png	r1	manage	147.0 K	2018-07-04 - 15:35	PeterJohannesFalke	Timing overview plots
eps	timing_RMS_etaDep_19.eps	r1	manage	83.9 K	2018-07-04 - 15:35	PeterJohannesFalke	Timing overview plots
pdf	timing_RMS_etaDep_19.pdf	r1	manage	21.9 K	2018-07-04 - 15:35	PeterJohannesFalke	Timing overview plots
png	timing_RMS_etaDep_19.png	r1	manage	140.8 K	2018-07-04 - 15:35	PeterJohannesFalke	Timing overview plots
eps	total_noise_I05.eps	r2 r1	manage	142.9 K	2015-02-23 - 23:27	MartinAleksa	Phase I Upgrade Demonstrator Plots (eps)
png	total_noise_I05.png	r2 r1	manage	29.2 K	2015-02-23 - 23:28	MartinAleksa	Phase I Upgrade Demonstrator Plots
eps	totalnoise_demonstrator.eps	r2 r1	manage	142.9 K	2015-02-23 - 23:28	MartinAleksa	Phase I Upgrade Demonstrator Plots (eps)
png	totalnoise_demonstrator.png	r2 r1	manage	28.5 K	2015-02-23 - 23:29	MartinAleksa	Phase I Upgrade Demonstrator Plots
eps	wEta.eps	r1	manage	57.1 K	2018-07-04 - 15:43	PeterJohannesFalke	Shower shape variable w_{eta,2}
pdf	wEta.pdf	r1	manage	14.8 K	2018-07-04 - 15:43	PeterJohannesFalke	Shower shape variable w_{eta,2}
png	wEta.png	r1	manage	69.6 K	2018-07-04 - 15:43	PeterJohannesFalke	Shower shape variable w_{eta,2}
eps	wEta_log.eps	r1	manage	56.5 K	2018-07-04 - 15:43	PeterJohannesFalke	Shower shape variable w_{eta,2}
pdf	wEta_log.pdf	r1	manage	14.7 K	2018-07-04 - 15:43	PeterJohannesFalke	Shower shape variable w_{eta,2}
png	wEta_log.png	r1	manage	64.9 K	2018-07-04 - 15:43	PeterJohannesFalke	Shower shape variable w_{eta,2}

Topic revision: r29 - 2023-05-02 - AnneSophieBerthold

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