Personal Igor Smirnov's homepage


Thanks to hospitality of CERN, I am placing here some my research materials which I want to share with colleagues. They are no way to be associated with official organizational materials, statements, presentations, publications, policy, decisions etc. of CERN or any other institutes or big research collaborations.

      The notion of ionization energy losses of fast charged particles in matter, the concepts of photoabsorption-ionization model (PAI) and shell separation in PAI, the HEED, HEED-F77 and HEED++ programs, various thin effects such as irregular transition of relativistic grow of ionization losses to their saturation, splitting of Fermi plateau etc., features of gaseous (gas filled) detectors of elementary particles are described here.

      My method of handling the raw and smart pointers in C++ and thoughts about the object-oriented programming in total: this way.

      My ideas about the track reconstruction, the essence of combinatorial filtering as a way to avoid combinatorial explosions, the methods of pattern recognition and ghost tracks removing, the use of control sum for choosing (possibly) real tracks among many crossing ghost tracks connecting the same hits,  are presented right here.

      Algebraic methods for coordinate reconstruction in segmented (strip) detectors click here.

      Big paper in NIM A "Algebraic methods for reconstruction of coordinates in cathode strip chamber" is here. This paper presents a whole concept, if not a theory, of differential methods. It compares performance of differential methods with Center Of Gravity (COG) methods. For this purpose, in order to make an honest comparison, it also proposes new improved COG methods. Also, for this purpose it describes methods of correction of systematic shifts. There are lot of important details which have not been discussed in the literature, to my knowledge. In result, the differential methods turn out to be better than any COG methods known before this paper, but do not outperform improved COG methods. Both types of methods can be useful for experiments with very high event rate, for which fitting of each event with strip response function cannot be done because of computer time expenses. The strip response function can also be just unknown or variable.

      My Researchgate page is here.

      Not that I invite anyone there. I DON'T invite anyone there. This site was known in the past to generate fake e-mail invitations as if from colleagues. I never invited anyone to this site for creating own accounts and I am not going to do this in the future. This is just my page in this site.

      My page in Scopus is here. (But it currently has a mistake in my affiliation and city, apparently because of some mess in notations of organizations. The authors can not change this themselves. My correct affiliation and city is in Researchgate site.)

      My e-mail is Igor.Smirnov@cern.ch. (But I am very busy all recent time. So please excuse me if I you would not receive any answer...)
Last edited 04.09.2023.