Machine learning based event classification for the energy-differential measurement of the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e721" altimg="si4.svg"><mml:msup><mml:mrow /><mml:mrow><mml:mtext>nat</mml:mtext></mml:mrow></mml:msup></mml:math>C(n,p) and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e732" altimg="si4.svg"><mml:msup><mml:mrow /><mml:mrow><mml:mtext>nat</mml:mtext></mml:mrow></mml:msup></mml:math>C(n,d) reactions-Reference-Cited by-同舟云学术

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Machine learning based event classification for the energy-differential measurement of the natC(n,p) and natC(n,d) reactions

Published:2022-06 Issue: Volume:1033 Page:166686
ISSN:0168-9002
Container-title:Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
language:en
Short-container-title:Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

Author:

Žugec P.^ORCID,Barbagallo M.,Andrzejewski J.,Perkowski J.,Colonna N.,Bosnar D.,Gawlik A.,Sabaté-Gilarte M.,Bacak M.,Mingrone F.,Chiaveri E.

Funder

Hrvatska Zaklada za Znanost

Publisher

Elsevier BV

Subject

Instrumentation,Nuclear and High Energy Physics

Reference37 articles.

1. Measurement of the12C(n,p)12Bcross section at n_TOF at CERN by in-beam activation analysis

2. Integral measurement of the 12C(n, p)12B reaction up to 10 GeV

3. CERN-INTC-2017-081 / INTC-P-522;Žugec,2017

4. Performance of the neutron time-of-flight facility n_TOF at CERN

5. The new vertical neutron beam line at the CERN n_TOF facility design and outlook on the performance

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Case Study on Deep Learning applied to Capture Cross Section Data Analysis;EPJ Web of Conferences;2023

2. Supervised Event Classification in an Optical Time Projection Chamber;Acta Physica Polonica B Proceedings Supplement;2023

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