文献
J-GLOBAL ID:202202256690395441
整理番号:22A0433363
深い学習による深い非弾性散乱の運動学の再構築【JST・京大機械翻訳】
Reconstructing the kinematics of deep inelastic scattering with deep learning
著者 (6件):
Arratia Miguel
(Department of Physics and Astronomy, University of California, Riverside, CA 92521, USA)
,
Arratia Miguel
(Thomas Jefferson National Accelerator Facility, Newport News, VA 23606, USA)
,
Britzger Daniel
(Max-Planck-Institut fuer Physik, Fohringer Ring 6, 80805 Muenchen, Germany)
,
Long Owen
(Department of Physics and Astronomy, University of California, Riverside, CA 92521, USA)
,
Nachman Benjamin
(Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA)
,
Nachman Benjamin
(Berkeley Institute for Data Science, University of California, Berkeley, CA 94720, USA)
資料名:
Nuclear Instruments & Methods in Physics Research. Section A. Accelerators, Spectrometers, Detectors and Associated Equipment
(Nuclear Instruments & Methods in Physics Research. Section A. Accelerators, Spectrometers, Detectors and Associated Equipment)
巻:
1025
ページ:
Null
発行年:
2022年
JST資料番号:
D0208B
ISSN:
0168-9002
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)