کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1827543 | 1027412 | 2009 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Discrimination between neutrino events and backgrounds using pulse shape information in reactor neutrino experiments
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
فیزیک و نجوم
ابزار دقیق
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Discrimination between neutrino events and backgrounds using pulse shape information in reactor neutrino experiments Discrimination between neutrino events and backgrounds using pulse shape information in reactor neutrino experiments](/preview/png/1827543.png)
چکیده انگلیسی
The application of Bayesian neural networks (BNN) to discriminate neutrino events from backgrounds in reactor neutrino experiments has been described in Xu et al. (2008) [1] and Xu et al. (2009) [2]. In the present paper, the pulse shape information for a fast signal of a neutrino event or a background event is used as a part of inputs to BNN to discriminate neutrino events from backgrounds. The numbers of photoelectrons received by PMTs and the delay time for a delayed signal are used as the other part of inputs to BNN (Xu et al., 2009) [2]. As a result, compared to Xu et al. (2009) [2], the identification efficiency of fast neutron background events is significantly improved using the BNN in the present paper. The other identification efficiencies are consistent with those in Xu et al. (2009) [2].
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment - Volume 610, Issue 2, 1 November 2009, Pages 590-596
Journal: Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment - Volume 610, Issue 2, 1 November 2009, Pages 590-596
نویسندگان
Ye Xu, Bin Wu, YingJie Zhang, ZeLong Liu, HaoKai Sun, DanNing Di,