scholarly journals Deep neural network for pixel-level electromagnetic particle identification in the MicroBooNE liquid argon time projection chamber

2019 ◽  
Vol 99 (9) ◽  
Author(s):  
C. Adams ◽  
M. Alrashed ◽  
R. An ◽  
J. Anthony ◽  
J. Asaadi ◽  
...  
2021 ◽  
Vol 16 (01) ◽  
pp. P01036-P01036
Author(s):  
H.W. Yu ◽  
M. Bishai ◽  
W.Q. Gu ◽  
M.F. Lin ◽  
X. Qian ◽  
...  

Author(s):  
Peter J. Doe ◽  
Richard C. Allen ◽  
Steven D. Biller ◽  
Gerhard Bühler ◽  
Wayne A. Johnson ◽  
...  

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Daniel Kikoła

Dielectron signal reconstruction is an important tool for heavy flavor measurements because of its trigger feasibility and its relatively straightforward particle identification process. However, in the case of time projection chamber detectors, some hadron contamination is unavoidable, even if additional means are used to improve the particle identification process. In this paper, we investigate the effects of hadron (protons, pions, and kaons) contamination on the dielectron signal reconstruction process in the measurement ofJ/ψand electrons from heavy flavor hadron decays.


2014 ◽  
Vol 9 (05) ◽  
pp. T05005-T05005 ◽  
Author(s):  
B Baller ◽  
C Bromberg ◽  
N Buchanan ◽  
F Cavanna ◽  
H Chen ◽  
...  

2020 ◽  
Vol 15 (07) ◽  
pp. C07022-C07022
Author(s):  
N. Anfimov ◽  
R. Berner ◽  
I. Butorov ◽  
A. Chetverikov ◽  
D. Fedoseev ◽  
...  

2012 ◽  
Vol 37 ◽  
pp. 1654-1666 ◽  
Author(s):  
Datao Gong ◽  
Suen Hou ◽  
Chonghan Liu ◽  
Tiankuan Liu ◽  
Da-shung Su ◽  
...  

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