Application of neural networks for energy reconstruction-Reference-Cited by-同舟云学术

Application of neural networks for energy reconstruction

Published:2002-04 Issue:3 Volume:482 Page:776-788
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:

Damgov J,Litov L

Publisher

Elsevier BV

Subject

Instrumentation,Nuclear and High Energy Physics

Reference28 articles.

1. CMS, Technical proposal, CERN/LHCC 94-38.

2. CMS—The Electromagnetic Calorimeter Project, CERN/LHCC 97-33, 1997.

3. CMS—The Hadron Calorimeter Project, CERN/LHCC 97-31, 1997.

4. V. Abramov, et al., Studies of the response of the prototype CMS hadron calorimeter, including magnetic field effects, to pion, electron and muon beam, CMS Note/2000-03, CERN, 2000.

5. Results from a test of a PbCu liquid argon calorimeter

Cited by 8 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. Gamma spectral analysis by artificial neural network coupled with Monte Carlo simulations;Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment;2020-02

2. Applications of neural networks in hadron physics;Journal of Physics G: Nuclear and Particle Physics;2015-02-05

3. Comparison of neural network and hadronic model predictions of the two-photon exchange effect;Physical Review C;2013-12-26

4. Neural network parameterizations of electromagnetic nucleon form-factors;Journal of High Energy Physics;2010-09

5. ANN-based energy reconstruction procedure for TACTIC γ-ray telescope and its comparison with other conventional methods;Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment;2009-07