Journal Article

GSI-2021-01052

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Classical and machine learning methods for event reconstruction in NeuLAND

Mayer, J. (Corresponding author) ; Boretzky, K.GSI* ; Douma, C. ; Hoemann, E. ; Zilges, A.

2021
North-Holland Publ. Co. Amsterdam

This record in other databases:

Please use a persistent id in citations: doi:10.1016/j.nima.2021.165666

Report No.: arXiv:2108.01384

Keyword(s): Neutron detection ; Event reconstruction ; Monte-Carlo simulations ; Machine learning

Note: Nuclear Instruments and Methods in Physics Research Section A 1013, 165666 (2021)

---

Contributing Institute(s):

1. Kernreaktionen (KRA)
2. Collaboration FAIR: R3B (R3B@FAIR)

Research Program(s):

1. 899 - ohne Topic (POF4-899) (POF4-899)

Experiment(s):

1. Experiment at GSI without experiment proposal number ( - ; Facility_outside_beam_time_program )

Appears in the scientific report 2021

---

Database coverage:
; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; Current Contents - Physical, Chemical and Earth Sciences ; Ebsco Academic Search ; Essential Science Indicators ; IF < 5 ; JCR ; Nationallizenz ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

---