Single Charged Particle Identification in Nuclear Emulsion Using Multiple Coulomb Scattering Method
Author(s) -
Khin Than Tint,
Yoko Endo,
Kaoru Hoshino,
H. Ito,
K. Itonaga,
Shinji Kinbara,
H. Kobayashi,
Akihiro Mishina,
Myint Kyaw Soe,
Junya Yoshida,
Kazuma Nakazawa
Publication year - 2015
Publication title -
proceedings of the 2nd international symposium on science at j-parc — unlocking the mysteries of life, matter and the universe —
Language(s) - English
Resource type - Conference proceedings
DOI - 10.7566/jpscp.8.021004
Subject(s) - nuclear emulsion , coulomb , charged particle , scattering , particle (ecology) , emulsion , identification (biology) , physics , nuclear physics , coulomb barrier , optics , engineering , electron , chemical engineering , quantum mechanics , ion , oceanography , geology , botany , biology
In J-PARC E07 experiment, emulsion experiment for double strangeness system, particle identification is an important aspect to purify Ξ stop events. Through the experiment, we expect Ξ stop event with ten time higher statistics than that of previous experiment (KEK PS-E373). Ξ stop events which include doubleΛ hypernucleus, twinΛ hypernuclei and so on give us important information such as Λ-Λ and Ξ-N interaction. Besides, Ξ stop events are interesting itself because experimental data aboutΞ stop is very few. We are developing a PID technique for single charged particles having low momentum using by “Second difference” reflecting Multiple Coulomb Scattering. A charged particle moving in nuclear emulsion is deflected by many small-angle scatters due to Coulomb interaction, depends on the momentum of the particle. It is possible to discriminate the mass of a particle by evaluating the behavior of scattering near stopping point. We introduce “Second difference”, i.e. δ plane, defined as in Fig. (1), and intend to use its distribution as Probability Distribution Functions for likelihood method. We performed Geant4 simulation and obtained the second differences of several hundred of tracks for various single charged particles in emulsion. Fig. (2) shows their geometric mean distributions of among 0.2mm-2.0mm range. It is promising in the separation of single charged unknown particles in emulsion.
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