Search for an anomalous excess of charged-current quasielastic νe interactions with the MicroBooNE experiment using Deep-Learning-based reconstruction

Authors

P. Abratenko
R. An
J. Anthony
L. Arellano
J. Asaadi
A. Ashkenazi
S. Balasubramanian
B. Baller
C. Barnes
G. Barr
V. Basque
L. Bathe-Peters
O. Benevides Rodrigues
S. Berkman
A. Bhanderi
A. Bhat
M. Bishai
A. Blake
T. Bolton
J.Y. Book
L. Camilleri
D. Caratelli
I. Caro Terrazas
F. Cavanna
G. Cerati
Y. Chen
D. Cianci
G.H. Collin
J.M. Conrad
M. Convery
L. Cooper-Troendle
J.I. Crespo-Anadón
M. Del Tutto

Document Type

Article

Publication Date

6-1-2022

Publication Source (Journal or Book title)

Phys.Rev.D

First Page

112003

Recommended Citation

Abratenko, P., An, R., Anthony, J., Arellano, L., Asaadi, J., Ashkenazi, A., Balasubramanian, S., Baller, B., Barnes, C., Barr, G., Basque, V., Bathe-Peters, L., Rodrigues, O. B., Berkman, S., Bhanderi, A., Bhat, A., Bishai, M., Blake, A., Bolton, T., Book, J., Camilleri, L., Caratelli, D., Caro Terrazas, I., Cavanna, F., Cerati, G., Chen, Y., Cianci, D., Collin, G., Conrad, J., Convery, M., Cooper-Troendle, L., Crespo-Anadón, J., & Del Tutto, M. (2022). Search for an anomalous excess of charged-current quasielastic νe interactions with the MicroBooNE experiment using Deep-Learning-based reconstruction. Phys.Rev.D, 105 (11), 112003. https://doi.org/10.1103/PhysRevD.105.112003