Use of Machine Learning for gamma/hadron separation with HAWC

HAWC Collaboration; Abeysekara, A. U.; Albert, A.; Alfaro, R.; Alvarez, C.; Álvarez Romero, J.d.D.; Angeles Camacho*, J.R.; Arteaga Velazquez, J.C.; Kollamparambil, A.B.; Rojas, D.O. Avila; Solares, H.A. Ayala; Babu, R.; Baghmanyan, V.; Barber, A.S.; Gonzalez, J. Becerra; Belmont-Moreno, E.; BenZvi, S.; Berley, D.; Brisbois, C.; Mora, K.S. Caballero; Capistrán, T.; Carramiñana, A.; Casanova, S.; Chaparro-Amaro, O.; Cotti, U.; Cotzomi, J.; de León, S. Coutiño; de la Fuente, E.; de León, C.L.; Diaz, L.; Hernandez, R. Diaz; Vélez, J.C. Díaz; Dingus, B.; Durocher, M.; DuVernois, M.; Ellsworth, R.; Engel, K.; Hernández, M.C. Espinoza; Fan, J.; Fang, K.; Alonso, M. Fernandez; Fick, B.; Fleischhack, H.; Flores, J.L.; Fraija, N.I.; Aguilar, D. Garcia; Garcia-Gonzalez, J.A.; García-Luna, J.L.; García-Torales, G.; Garfias, F.; Giacinti, G.; Goksu, H.; González, M.M.; Goodman, J.A.; Harding, J.P.; Cadena, S. Hernández; Herzog, I.; Hinton, J.; Hona, B.; Huang, D.; Hueyotl-Zahuantitla, F.; Hui, M.; Humensky, B.; Hüntemeyer, P.; Iriarte, A.; Jardin-Blicq, A.; Jhee, H.; Joshi, V.; Kieda, D.; Kunde, G.J.; Kunwar, S.; Lara, A.; Lee, J.; Lee, W.H.; Lennarz, D.; Vargas, H. Leon; Linnemann, J.; Longinotti, A.L.; Lopez-Coto, R.; Luis-Raya, G.; Lundeen, J.; Malone, K.; Marandon, V.; Martinez, O.; Castellanos, I. Martinez; Huerta, H. Martínez; Martínez-Castro, J.; Matthews, J.; McEnery, J.; Miranda-Romagnoli, P.; Soto, J.A. Morales; Barbosa, E. Moreno; Mostafa, M.; Nayerhoda, A.; Nellen, L.; Newbold, M.; Nisa, M.U.; Noriega-Papaqui, R.; Olivera-Nieto, L.; Omodei, N.; Peisker, A.; Araujo, Y. Pérez; Pérez, E.G. Pérez; Rho, C.D.; Rivière, C.; Rosa-Gonzalez, D.; Ruiz-Velasco, E.; Ryan, J.; Salazar, H.I.; Greus, F. Salesa; Sandoval, A.; Schneider, M.; Schoorlemmer, H.; Serna-Franco, J.; Sinnis, G.; Smith, A.J.; Springer, W.R.; Surajbali, P.; Taboada, I.; Tanner, M.; Tollefson, K.; Torres, I.; Escobedo, R. Torres; Turner, R.; Ureña-Mena, F.; Villaseñor, L.; Wang, X.; Watson, I.J.; Weisgarber, T.; Werner, F.; Willox, E.; Wood, J.; Yodh, G.; Zepeda, A.; Zhou, H.

doi:10.22323/1.395.0745

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Conference Paper

Use of Machine Learning for gamma/hadron separation with HAWC

MPS-Authors

/persons/resource/persons30597

Hinton, J.
Division Prof. Dr. James A. Hinton, MPI for Nuclear Physics, Max Planck Society;

/persons/resource/persons135685

Werner, F.
Division Prof. Dr. James A. Hinton, MPI for Nuclear Physics, Max Planck Society;

External Resource

No external resources are shared

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

There are no public fulltexts stored in PuRe

Supplementary Material (public)

There is no public supplementary material available

Citation

HAWC Collaboration, Abeysekara, A. U., Albert, A., Alfaro, R., Alvarez, C., Álvarez Romero, J., et al. (2022). Use of Machine Learning for gamma/hadron separation with HAWC. Proceedings of Science, 395: 745. doi:10.22323/1.395.0745.

Cite as: https://hdl.handle.net/21.11116/0000-000C-107A-9

Abstract

There is no abstract available