Classical and machine learning methods for event reconstruction in NeuLAND-Reference-Cited by-同舟云学术

Classical and machine learning methods for event reconstruction in NeuLAND

Published:2021-10 Issue: Volume:1013 Page:165666
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:

Mayer Jan^ORCID,Boretzky Konstanze^ORCID,Douma Christiaan^ORCID,Hoemann Elena,Zilges Andreas^ORCID

Funder

Bundesministerium für Bildung und Forschung

GSI Helmholtzzentrum für Schwerionenforschung

Publisher

Elsevier BV

Subject

Instrumentation,Nuclear and High Energy Physics

Reference28 articles.

1. FAIR - Facility for Antiproton and Ion Research,2021

3. The Super-FRS project at GSI;Geissel;Nucl. Instrum. Methods Phys. Res. B,2003

Cited by 4 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. Machine learning method for 12C event classification and reconstruction in the active target time-projection chamber;Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment;2023-10

2. Study of a possible silicon photomultiplier based readout of the large plastic scintillator neutron detector NeuLAND;Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment;2023-03

4. NeuLAND: The high-resolution neutron time-of-flight spectrometer for R3B at FAIR;Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment;2021-10