Pulse Brain · Growing Health Evidence Index
Peer-reviewed

Noise evaluation of silicon strip super-module with ABCN250 readout chips for the ATLAS detector upgrade at the High Luminosity LHC

K. Todome, O. Jinnouchi, A. Clark, G. Barbier, F. Cadoux, Y. Favre, D. Ferrère, S. González-Sevilla, G. Iacobucci, D. La Marra, E. Perrin, M. Weber, Y. Ikegami, K. Nakamura, Y. Takubo, Y. Unno, R. Takashima, J. Tojo, T. Kono, K. Hanagaki, M. Hirose, Yuki Homma, Shimpei Sato, K. Hara, K. Satô

Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment · 2016

Read source ↗ All evidence
Source type
Peer-reviewed study
DOI
10.1016/j.nima.2016.03.018
Catalogue ID
BFmoef2u5h-eiq726
Pulse AI · ask about this record

Dig deeper with Pulse AI.

Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.