Zobrazeno 1 - 10
of 423
pro vyhledávání: '"Ploskon, Mateusz"'
Autor:
Athanasakos, Dimitrios, Larkoski, Andrew J., Mulligan, James, Ploskon, Mateusz, Ringer, Felix
Publikováno v:
J. High Energ. Phys. 2024, 257 (2024)
Machine learning-based jet classifiers are able to achieve impressive tagging performance in a variety of applications in high-energy and nuclear physics. However, it remains unclear in many cases which aspects of jets give rise to this discriminatin
Externí odkaz:
http://arxiv.org/abs/2305.08979
Autor:
Beck, Douglas, Carlson, Joseph, Davoudi, Zohreh, Formaggio, Joseph, Quaglioni, Sofia, Savage, Martin, Barata, Joao, Bhattacharya, Tanmoy, Bishof, Michael, Cloet, Ian, Delgado, Andrea, DeMarco, Michael, Fink, Caleb, Florio, Adrien, Francois, Marianne, Grabowska, Dorota, Hoogerheide, Shannon, Huang, Mengyao, Ikeda, Kazuki, Illa, Marc, Joo, Kyungseon, Kharzeev, Dmitri, Kowalski, Karol, Lai, Wai Kin, Leach, Kyle, Loer, Ben, Low, Ian, Martin, Joshua, Moore, David, Mehen, Thomas, Mueller, Niklas, Mulligan, James, Mumm, Pieter, Pederiva, Francesco, Pisarski, Rob, Ploskon, Mateusz, Reddy, Sanjay, Rupak, Gautam, Singh, Hersh, Singh, Maninder, Stetcu, Ionel, Stryker, Jesse, Szypryt, Paul, Valgushev, Semeon, VanDevender, Brent, Watkins, Samuel, Wilson, Christopher, Yao, Xiaojun, Afanasev, Andrei, Balantekin, Akif Baha, Baroni, Alessandro, Bunker, Raymond, Chakraborty, Bipasha, Chernyshev, Ivan, Cirigliano, Vincenzo, Clark, Benjamin, Dhiman, Shashi Kumar, Du, Weijie, Dutta, Dipangkar, Edwards, Robert, Flores, Abraham, Galindo-Uribarri, Alfredo, Ruiz, Ronald Fernando Garcia, Gueorguiev, Vesselin, Guo, Fanqing, Hansen, Erin, Hernandez, Hector, Hattori, Koichi, Hauke, Philipp, Hjorth-Jensen, Morten, Jankowski, Keith, Johnson, Calvin, Lacroix, Denis, Lee, Dean, Lin, Huey-Wen, Liu, Xiaohui, Llanes-Estrada, Felipe J., Looney, John, Lukin, Misha, Mercenne, Alexis, Miller, Jeff, Mottola, Emil, Mueller, Berndt, Nachman, Benjamin, Negele, John, Orrell, John, Patwardhan, Amol, Phillips, Daniel, Poole, Stephen, Qualters, Irene, Rumore, Mike, Schaefer, Thomas, Scott, Jeremy, Singh, Rajeev, Vary, James, Galvez-Viruet, Juan-Jose, Wendt, Kyle, Xing, Hongxi, Yang, Liang, Young, Glenn, Zhao, Fanyi
In preparation for the 2023 NSAC Long Range Plan (LRP), members of the Nuclear Science community gathered to discuss the current state of, and plans for further leveraging opportunities in, QIST in NP research at the Quantum Information Science for U
Externí odkaz:
http://arxiv.org/abs/2303.00113
Publikováno v:
JHEP 03 (2023) 085
We explore machine learning-based jet and event identification at the future Electron-Ion Collider (EIC). We study the effectiveness of machine learning-based classifiers at relatively low EIC energies, focusing on (i) identifying the flavor of the j
Externí odkaz:
http://arxiv.org/abs/2210.06450
Imaging the initial condition of heavy-ion collisions and nuclear structure across the nuclide chart
Autor:
Bally, Benjamin, Brandenburg, James Daniel, Giacalone, Giuliano, Heinz, Ulrich, Huang, Shengli, Jia, Jiangoyng, Lee, Dean, Lee, Yen-Jie, Li, Wei, Loizides, Constantin, Luzum, Matthew, Nijs, Govert, Noronha-Hostler, Jacquelyn, Ploskon, Mateusz, van der Schee, Wilke, Schenke, Bjoern, Shen, Chun, Somà, Vittorio, Timmins, Anthony, Xu, Zhangbu, Zhou, You
A major goal of the hot QCD program, the extraction of the properties of the quark gluon plasma (QGP), is currently limited by our poor knowledge of the initial condition of the QGP, in particular how it is shaped from the colliding nuclei. To attack
Externí odkaz:
http://arxiv.org/abs/2209.11042
Publikováno v:
JHEP 10 (2022) 011
Jets produced in high-energy heavy-ion collisions are modified compared to those in proton-proton collisions due to their interaction with the deconfined, strongly-coupled quark-gluon plasma (QGP). In this work, we employ machine learning techniques
Externí odkaz:
http://arxiv.org/abs/2111.14589
Publikováno v:
Phys. Rev. D 106, 054508 (2022)
We present simulations of non-equilibrium dynamics of quantum field theories on digital quantum computers. As a representative example, we consider the Schwinger model, a 1+1 dimensional U(1) gauge theory, coupled through a Yukawa-type interaction to
Externí odkaz:
http://arxiv.org/abs/2106.08394
We present an implementation of an explainable and physics-aware machine learning model capable of inferring the underlying physics of high-energy particle collisions using the information encoded in the energy-momentum four-vectors of the final stat
Externí odkaz:
http://arxiv.org/abs/2012.06582
Autor:
de Jong, Wibe A., Metcalf, Mekena, Mulligan, James, Płoskoń, Mateusz, Ringer, Felix, Yao, Xiaojun
Publikováno v:
Phys. Rev. D 104, 051501 (2021)
We present a framework to simulate the dynamics of hard probes such as heavy quarks or jets in a hot, strongly-coupled quark-gluon plasma (QGP) on a quantum computer. Hard probes in the QGP can be treated as open quantum systems governed in the Marko
Externí odkaz:
http://arxiv.org/abs/2010.03571
Autor:
Adam, Jaroslav, Aidala, Christine, Angerami, Aaron, Audurier, Benjamin, Bertulani, Carlos, Bierlich, Christian, Blok, Boris, Brandenburg, James Daniel, Brodsky, Stanley, Bylinkin, Aleksandr, Roman, Veronica Canoa, Celiberto, Francesco Giovanni, Cepila, Jan, Chachamis, Grigorios, Cole, Brian, Contreras, Guillermo, d'Enterria, David, Dumitru, Adrian, Téllez, Arturo Fernández, Frankfurt, Leonid, Ducati, Maria Beatriz Gay, Geurts, Frank, da Silveira, Gustavo Gil, Giuli, Francesco, Goncalves, Victor P., Grabowska-Bold, Iwona, Guzey, Vadim, Harland-Lang, Lucian, Hentschinski, Martin, Hobbs, Timothy J., Jalilian-Marian, Jamal, Khoze, Valery A., Kim, Yongsun, Klein, Spencer R., Knapen, Simon, Kłusek-Gawenda, Mariola, Krelina, Michal, Kryshen, Evgeny, Lappi, Tuomas, Loizides, Constantin, Luszczak, Agnieszka, Machado, Magno, Mäntysaari, Heikki, Martins, Daniel, McNulty, Ronan, Murray, Michael, Nemchik, Jan, Noronha-Hostler, Jacquelyn, Nystrand, Joakim, Papa, Alessandro, Pire, Bernard, Ploskon, Mateusz, Przybycien, Marius, Ralston, John P., Teles, Patricia Rebello, Royon, Christophe, Schenke, Björn, Schmidke, William, Seger, Janet, Stasto, Anna, Steinberg, Peter, Strikman, Mark, Szczurek, Antoni, Szymanowski, Lech, Takaki, Daniel Tapia, Ulrich, Ralf, Baillie, Orlando Villalobos, Vogt, Ramona, Wallon, Samuel, Winn, Michael, Xie, Keping, Xu, Zhangbu, Yang, Shuai, Zhalov, Mikhail, Zhou, Jian
Ultra-peripheral collisions (UPCs) involving heavy ions and protons are the energy frontier for photon-mediated interactions. UPC photons can be used for many purposes, including probing low-$x$ gluons via photoproduction of dijets and vector mesons,
Externí odkaz:
http://arxiv.org/abs/2009.03838
Autor:
Mulligan, James, Ploskon, Mateusz
Publikováno v:
Phys. Rev. C 102, 044913 (2020)
Measurements of jet substructure in heavy-ion collisions may provide key insight to the nature of jet quenching in the quark-gluon plasma. Jet grooming techniques from high-energy physics have been applied to heavy-ion collisions in order to isolate
Externí odkaz:
http://arxiv.org/abs/2006.01812