Accès ouvert
2022
preprint
OpenAlex
MicroBooNE collaboration, P. Abratenko, R. An, J. Anthony et autres
In this article, we describe a modified implementation of Mask Region-based Convolutional Neural Networks (Mask-RCNN) for cosmic ray muon clustering in a liquid argon TPC and applied to MicroBooNE neutrino data. Our implementation of this network, called sMask-RCNN, uses sparse submanifold convolutions …
Accès ouvert
2018
article
OpenAlex
Masaharu Tanabashi, Katsuro Hagiwara, Ken‐ichi Hikasa, K. Nakamura et autres
The Review summarizes much of particle physics and cosmology. Using data from previous editions, plus 2,873 new measurements from 758 papers, we list, evaluate, and average measured properties of gauge bosons and the recently discovered Higgs boson, leptons, quarks, mesons, and baryons. …
jp, us, it, at, ch, ru, de, gb, fr, ar, nl, fi, mx, ie, kr, es, il, ca
(code pays fourni par la source)
Accès ouvert
2017
preprint
OpenAlex
MicroBooNE Collaboration, R. Acciarri, C. Adams, Ruirui An et autres
The development and operation of Liquid-Argon Time-Projection Chambers for neutrino physics has created a need for new approaches to pattern recognition in order to fully exploit the imaging capabilities offered by this technology. Whereas the human brain can excel at identifying features …
Accès ouvert
2012
article
OpenAlex
K. B. M. Mahn, Y. Nakajima, A. A. Aguilar-Arevalo, J. L. Alcaraz-Aunion et autres
The SciBooNE and MiniBooNE collaborations report the results of a ${\ensuremath{\nu}}_{\ensuremath{\mu}}$ disappearance search in the $\ensuremath{\Delta}{m}^{2}$ region of $0.5--40\text{ }\text{ }{\mathrm{eV}}^{2}$. The neutrino rate as measured by the SciBooNE tracking detectors is used to constrain the rate at the MiniBooNE Cherenkov detector …
us, jp, mx, es, it, gb
(code pays fourni par la source)