Zobrazeno 1 - 10
of 583
pro vyhledávání: '"Hall, A Reinsvold"'
Autor:
Kwok, Ka Hei Martin, Kortelainen, Matti, Cerati, Giuseppe, Strelchenko, Alexei, Gutsche, Oliver, Hall, Allison Reinsvold, Lantz, Steve, Reid, Michael, Riley, Daniel, Berkman, Sophie, Lee, Seyong, Ather, Hammad, Norris, Boyana, Wang, Cong
Next generation High-Energy Physics (HEP) experiments are presented with significant computational challenges, both in terms of data volume and processing power. Using compute accelerators, such as GPUs, is one of the promising ways to provide the ne
Externí odkaz:
http://arxiv.org/abs/2401.14221
Autor:
Cerati, Giuseppe, Elmer, Peter, Gartung, Patrick, Giannini, Leonardo, Kortelainen, Matti, Krutelyov, Vyacheslav, Lantz, Steven, Masciovecchio, Mario, Reid, Tres, Hall, Allison Reinsvold, Riley, Daniel, Tadel, Matevz, Vourliotis, Emmanouil, Wittich, Peter, Yagil, Avi
mkFit is an implementation of the Kalman filter-based track reconstruction algorithm that exploits both thread- and data-level parallelism. In the past few years the project transitioned from the R&D phase to deployment in the Run-3 offline workflow
Externí odkaz:
http://arxiv.org/abs/2312.11728
Autor:
Herwig, Christian, Isaacson, Joshua, Jayatilaka, Bo, Machado, Pedro A. N., Hall, Allie Reinsvold, Safdari, Murtaza
Publikováno v:
Phys. Rev. D 109 (2024), 075049
The origin of the excess of low-energy events observed by the MiniBooNE experiment remains a mystery, despite exhaustive investigations of backgrounds and a series of null measurements from complementary experiments. One intriguing explanation is the
Externí odkaz:
http://arxiv.org/abs/2310.13042
Autor:
Hageboeck, S., Hall, A. Reinsvold, Skidmore, N., Stewart, G. A., Benelli, G., Carlson, B., David, C., Davies, J., Deconinck, W., DeMuth, Jr., D., Elmer, P., Garg, R. B., Lieret, K., Lukashenko, V., Malik, S., Morris, A., Schellman, H., Veatch, J., Villanueva, M. Hernandez
In this paper we document the current analysis software training and onboarding activities in several High Energy Physics (HEP) experiments: ATLAS, CMS, LHCb, Belle II and DUNE. Fast and efficient onboarding of new collaboration members is increasing
Externí odkaz:
http://arxiv.org/abs/2310.07342
Autor:
Aly, Mohamed, Burzynski, Jackson, Cardwell, Bryan, Craik, Daniel C., van Daalen, Tal, Dado, Tomas, Das, Ayanabha, Peris, Antonio Delgado, Doglioni, Caterina, Elmer, Peter, Eren, Engin, Eriksen, Martin B., Eschle, Jonas, Eulisse, Giulio, Fitzpatrick, Conor, Molina, José Flix, Forti, Alessandra, Galewsky, Ben, Gasiorowski, Sean, Goel, Aman, Gouskos, Loukas, Guiraud, Enrico, Gupta, Kanhaiya, Hageboeck, Stephan, Hall, Allison Reinsvold, Heinrich, Lukas, Held, Alexander, Hernández, José M., Villanueva, Michel Hernández, Hrivnac, Julius, Jouvin, Michel, Khoo, Teng Jian, Kreczko, Luke, Krumnack, Nils, Kuhr, Thomas, Kundu, Baidyanath, Lancon, Eric, Lange, Johannes, Laycock, Paul, Lieret, Kilian, Manganelli, Nicholas J., Villa, Pere Mato, Novak, Andrzej, Yzquierdo, Antonio Perez-Calero, Pivarski, Jim, Proffitt, Mason, Rembser, Jonas, Rodrigues, Eduardo, Rybkin, Grigori, Schaarschmidt, Jana, Schreiner, Henry F., Schulz, Markus, Sciabà, Andrea, Sekmen, Sezen, Sexton-Kennedy, Elizabeth, Shadura, Oksana, Simko, Tibor, Simpson, Nathan, Singh, Jaydip, Skidmore, Nicola, Smith, Nicholas, Sokoloff, Michael, Stewart, Graeme A., Strong, Giles C., Unel, Gokhan, Vassilev, Vassil, Waterlaat, Mark, Watts, Gordon, Yazgan, Efe
The second workshop on the HEP Analysis Ecosystem took place 23-25 May 2022 at IJCLab in Orsay, to look at progress and continuing challenges in scaling up HEP analysis to meet the needs of HL-LHC and DUNE, as well as the very pressing needs of LHC R
Externí odkaz:
http://arxiv.org/abs/2212.04889
Autor:
Black, K. M., Jindariani, S., Li, D., Maltoni, F., Meade, P., Stratakis, D., Acosta, D., Agarwal, R., Agashe, K., Aime, C., Ally, D., Apresyan, A., Apyan, A., Asadi, P., Athanasakos, D., Bao, Y., Barzi, E., Bartosik, N., Bauerdick, L. A. T., Beacham, J., Belomestnykh, S., Berg, J. S., Berryhill, J., Bertolin, A., Bhat, P. C., Biagini, M. E., Bloom, K., Bose, T., Bross, A., Brost, E., Bruhwiler, N., Buonincontri, L., Buttazzo, D., Candelise, V., Canepa, A., Carpenter, L., Casarsa, M., Celiberto, F., Cesarotti, C., Chachamis, G., Chacko, Z., Chang, P., Chekanov, S. V., Chen, T. Y., Chiesa, M., Cohen, T., Costa, M., Craig, N., Crivellin, A., Curatolo, C., Curtin, D., Da Molin, G., Dasu, S., de Gouvea, A., Denisov, D., Dermisek, R., Di Petrillo, K. F., Dorigo, T., Duarte, J. M., Elvira, V. D., Essig, R., Everaerts, P., Fan, J., Felcini, M., Fiore, G., Fiorina, D., Forslund, M., Franceschini, R., Garzelli, M. V., Gerber, C. E., Giambastiani, L., Giove, D., Guiducci, S., Han, T., Hermanek, K., Herwig, C., Hirschauer, J., Holmes, T. R., Homiller, S., Horyn, L. A., Ivanov, A., Jayatilaka, B., Jia, H., Jung, C. K., Kahn, Y., Kaplan, D. M., Kaur, M., Kawale, M., Koppenburg, P., Krintiras, G., Krizka, K., Kuchma, B., Lee, L., Li, L., Li, P., Li, Q., Li, W., Lipton, R., Liu, Z., Lomte, S., Lu, Q., Lucchesi, D., Luo, T., Lyu, K., Ma, Y., Machado, P. A. N., Madrid, C., Mahon, D. J., Mazzacane, A., McGinnis, N., McLean, C., Mele, B., Meloni, F., Middleton, S. C., Mishra, R. K., Mokhov, N., Montella, A., Morandin, M., Nagaitsev, S., Nardi, F., Neubauer, M. S., Neuffer, D. V., Newman, H., Ogaz, R., Ojalvo, I., Oksuzian, I., Orimoto, T., Ozek, B., Pachal, K., Griso, S. Pagan, Panci, P., Papadimitriou, V., Pastrone, N., Pedro, K., Pellemoine, F., Perloff, A., Pinna, D., Piccinini, F., Pleier, Marc-Andre, Posen, S., Potamianos, K., Rappoccio, S., Reece, M., Reina, L., Hall, A. Reinsvold, Riccardi, C., Ristori, L., Robens, T., Ruiz, R., Sala, P., Schulte, D., Sestini, L., Shiltsev, V., Snopok, P., Stark, G., Stupak III, J., Su, S ., Sundrum, R., Swiatlowski, M., Syphers, M. J., Taffard, A., Thompson, W., Torun, Y., Tully, C. G., Vai, I., Valente, M., van Rienen, U., van Weelderen, R., Velev, G., Venkatasubramanian, N., Vittorio, L., Vuosalo, C., Wang, X., Weber, H., Wu, R., Wu, Y., Wulzer, A., Xie, K., Xie, S., Yohay, R., Yonehara, K., Yu, F., Zlobin, A. V., Zuliani, D., Zurita, J.
A multi-TeV muon collider offers a spectacular opportunity in the direct exploration of the energy frontier. Offering a combination of unprecedented energy collisions in a comparatively clean leptonic environment, a high energy muon collider has the
Externí odkaz:
http://arxiv.org/abs/2209.01318
Autor:
Khoo, T. J., Hall, A. Reinsvold, Skidmore, N., Alderweireldt, S., Anders, J., Burr, C., Buttinger, W., David, P., Gouskos, L., Gray, L., Hageboeck, S., Krasznahorkay, A., Laycock, P., Lister, A., Marshall, Z., Meyer, A. B., Novak, T., Rappoccio, S., Ritter, M., Rodrigues, E., Rumsevicius, J., Sexton-Kennedy, L., Smith, N., Stewart, G. A., Wertz, S.
Publikováno v:
Comput Softw Big Sci 6, 13 (2022)
In High Energy Physics (HEP), analysis metadata comes in many forms -- from theoretical cross-sections, to calibration corrections, to details about file processing. Correctly applying metadata is a crucial and often time-consuming step in an analysi
Externí odkaz:
http://arxiv.org/abs/2203.00463
Autor:
Berkman, Sophie, Cerati, Giuseppe, Knoepfel, Kyle, Mengel, Marc, Hall, Allison Reinsvold, Wang, Michael, Gravelle, Brian, Norris, Boyana
Neutrinos are particles that interact rarely, so identifying them requires large detectors which produce lots of data. Processing this data with the computing power available is becoming even more difficult as the detectors increase in size to reach
Externí odkaz:
http://arxiv.org/abs/2107.00812
Autor:
Cerati, Giuseppe, Elmer, Peter, Gravelle, Brian, Kortelainen, Matti, Krutelyov, Vyacheslav, Lantz, Steven, Masciovecchio, Mario, McDermott, Kevin, Norris, Boyana, Hall, Allison Reinsvold, Reid, Micheal, Riley, Daniel, Tadel, Matevž, Wittich, Peter, Wang, Bei, Würthwein, Frank, Yagil, Avraham
We present results from parallelizing the unpacking and clustering steps of the raw data from the silicon strip modules for reconstruction of charged particle tracks. Throughput is further improved by concurrently processing multiple events using nes
Externí odkaz:
http://arxiv.org/abs/2101.11489
Autor:
Lantz, Steven, McDermott, Kevin, Reid, Michael, Riley, Daniel, Wittich, Peter, Berkman, Sophie, Cerati, Giuseppe, Kortelainen, Matti, Hall, Allison Reinsvold, Elmer, Peter, Wang, Bei, Giannini, Leonardo, Krutelyov, Vyacheslav, Masciovecchio, Mario, Tadel, Matevž, Würthwein, Frank, Yagil, Avraham, Gravelle, Brian, Norris, Boyana
One of the most computationally challenging problems expected for the High-Luminosity Large Hadron Collider (HL-LHC) is determining the trajectory of charged particles during event reconstruction. Algorithms used at the LHC today rely on Kalman filte
Externí odkaz:
http://arxiv.org/abs/2006.00071