Position resolution study at high energies of a sampling electromagnetic calorimeter whose active material is a scintillator with Peroxide-cured polysiloxane base
Yükleniyor...
Dosyalar
Tarih
2020
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This study is based on the simulation for the position resolution performances of a sampling electromagnetic calorimeter with a Peroxide-cured polysiloxane based scintillator as an active material. Various algorithms and corrections were applied to reconstruct hit positions. Energy deposition in the center tower and neighboring towers were used to reconstruct the beam impact position in a detector tower module consisted of a 3 x 3 array matrix. Linear weights, corrected linear weights, logarithmic weights, and corrected logarithmic weights were the different algorithms to reconstruct beam hit positions through energy weighted tower positions. Moreover, the iterative weighting method based on the logarithmic weights were applied. The re-weighting algorithm based on the iterative weighting method was seen to improve the results necessarily at relatively low beam energies. Additionally, deep neural network structures were applied over the linear weights without using any logarithmic weights or correction to improve the position resolutions.
Açıklama
Anahtar Kelimeler
Sampling calorimeter, Geant4, Logarithmic weight, Iterative weighting method, Deep neural network
Kaynak
Nuclear Instruments & Methods in Physics Research Section A-Accelerators Spectrometers Detectors and Associated Equipment
WoS Q Değeri
Q2
Scopus Q Değeri
Q2
Cilt
955
