تقرير
Application of CNN to a fine segmented scintillator detector for a single particle and neutrino-nucleon event
| العنوان: | Application of CNN to a fine segmented scintillator detector for a single particle and neutrino-nucleon event |
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| المؤلفون: | Ogawa, Tomohisa |
| سنة النشر: | 2021 |
| المجموعة: | High Energy Physics - Experiment Physics (Other) |
| مصطلحات موضوعية: | Physics - Instrumentation and Detectors, High Energy Physics - Experiment |
| الوصف: | This paper presents studies on application of convolutional neural network (CNN) to GEANT4 optical simulation data generated with a scintillator detector subdivided into 1 cubic cm, which is designed for the long-baseline neutrino experiment. Classification of interaction, regression of momentum, and segmentation of hits are demonstrated for single particle and neutrino-nucleon interaction events with well established CNN architectures by feeding reconstructed 2D projection images. In the study it is shown that the application of CNN to the 1 cm subdivided scintillator detector can provide a factor about 2 better momentum resolution compared to a standard method, as well as a classification capability of about 94% for the single particle and 70% for the neutrino-nucleon interaction events. Cross-section analyses with CNN is also shown to be feasible. Comment: 22 pages, 28 figures |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2106.09628 |
| رقم الأكسشن: | edsarx.2106.09628 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |