Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Zurita Pía"'
Publikováno v:
EPJ Web of Conferences, Vol 295, p 12002 (2024)
Quantum computing (QC) has emerged as a promising technology, and is believed to have the potential to advance nuclear and high energy physics (NHEP) by harnessing quantum mechanical phenomena to accelerate computations. In this paper, we give a brie
Externí odkaz:
https://doaj.org/article/0ce7e7d84e1841c28372c34163c3c4b6
Autor:
Ochoa-Oregon, Salvador A., Rentería-Estrada, David F., Hernández-Pinto, Roger J., Sborlini, German F. R., Zurita, Pia
Parton distribution functions play a pivotal role in hadron collider phenomenology. They are non-perturbative quantities extracted from fits to available data, and their scale dependence is dictated by the DGLAP evolution equations. In this article,
Externí odkaz:
http://arxiv.org/abs/2404.15175
Autor:
Initiative, Sustainable HECAP, Banerjee, Shankha, Chen, Thomas Y., David, Claire, Düren, Michael, Erbin, Harold, Ghiglieri, Jacopo, Gill, Mandeep S. S., Glaser, L, Gütschow, Christian, Hall, Jack Joseph, Hampp, Johannes, Koppenburg, Patrick, Koschnitzke, Matthias, Lohwasser, Kristin, Mahbubani, Rakhi, Mehta, Viraf, Millington, Peter, Paul, Ayan, Poblotzki, Frauke, Potamianos, Karolos, Šarčević, Nikolina, Singh, Rajeev, Wakeling, Hannah, Walker, Rodney, van der Wild, Matthijs, Zurita, Pia
The climate crisis and the degradation of the world's ecosystems require humanity to take immediate action. The international scientific community has a responsibility to limit the negative environmental impacts of basic research. The HECAP+ communit
Externí odkaz:
http://arxiv.org/abs/2306.02837
Autor:
Abir, Raktim, Akushevich, Igor, Altinoluk, Tolga, Anderle, Daniele Paolo, Aslan, Fatma P., Bacchetta, Alessandro, Balantekin, Baha, Barata, Joao, Battaglieri, Marco, Bertulani, Carlos A., Beuf, Guillaume, Bissolotti, Chiara, Boer, Daniël, Boglione, M., Boughezal, Radja, Braaten, Eric, Brambilla, Nora, Braun, Vladimir, Byer, Duane, Celiberto, Francesco Giovanni, Chien, Yang-Ting, Cloët, Ian C., Constantinou, Martha, Cosyn, Wim, Courtoy, Aurore, Czajka, Alexander, D'Alesio, Umberto, Bozzi, Giuseppe, Danilkin, Igor, Das, Debasish, de Florian, Daniel, Delgado, Andrea, de Melo, J. P. B. C., Detmold, William, Döring, Michael, Dumitru, Adrian, Echevarria, Miguel G., Edwards, Robert, Eichmann, Gernot, El-Bennich, Bruno, Engelhardt, Michael, Fernandez-Ramirez, Cesar, Fischer, Christian, Fox, Geofrey, Freese, Adam, Gamberg, Leonard, Garzelli, Maria Vittoria, Giacosa, Francesco, da Silveira, Gustavo Gil, Glazier, Derek, Goncalves, Victor P., Grossberndt, Silas, Guo, Feng-Kun, Gupta, Rajan, Hatta, Yoshitaka, Hentschinski, Martin, Blin, Astrid Hiller, Hobbs, Timothy, Ilyichev, Alexander, Jalilian-Marian, Jamal, Ji, Chueng-Ryong, Jia, Shuo, Kang, Zhong-Bo, Karki, Bishnu, Ke, Weiyao, Khachatryan, Vladimir, Kharzeev, Dmitri, Klein, Spencer R., Korepin, Vladimir, Kovchegov, Yuri, Kriesten, Brandon, Kumano, Shunzo, Lai, Wai Kin, Lebed, Richard, Lee, Christopher, Lee, Kyle, Li, Hai Tao, Liao, Jifeng, Lin, Huey-Wen, Liu, Keh-Fei, Liuti, Simonetta, Lorcé, Cédric, Machado, Magno V. T., Mantysaari, Heikki, Mathieu, Vincent, Mathur, Nilmani, Mehtar-Tani, Yacine, Melnitchouk, Wally, Mereghetti, Emanuele, Metz, Andreas, Michel, Johannes K. L., Miller, Gerald, Mkrtchyan, Hamlet, Mukherjee, Asmita, Mukherjee, Swagato, Mulders, Piet, Munier, Stéphane, Murgia, Francesco, Nadolsky, P. M., Negele, John W, Neill, Duff, Nemchik, Jan, Nocera, E., Okorokov, Vitalii, Olness, Fredrick, Pasquini, Barbara, Peng, Chao, Petreczky, Peter, Petriello, Frank, Pilloni, Alessandro, Pire, Bernard, Pisano, Cristian, Pitonyak, Daniel, Praszalowicz, Michal, Prokudin, Alexei, Qiu, Jianwei, Radici, Marco, Raya, Khépani, Ringer, Felix, West, Jennifer Rittenhouse, Rodas, Arkaitz, Rodini, Simone, Rojo, Juan, Salazar, Farid, Santopinto, Elena, Sargsian, Misak, Sato, Nobuo, Schenke, Bjoern, Schindler, Stella, Schnell, Gunar, Schweitzer, Peter, Scimemi, Ignazio, Segovia, Jorge, Semenov-Tian-Shansky, Kirill, Shanahan, Phiala, Shao, Ding-Yu, Sievert, Matt, Signori, Andrea, Singh, Rajeev, Skokov, Vladi, Song, Qin-Tao, Srednyak, Stanislav, Stewart, Iain W., Sufian, Raza Sabbir, Swanson, Eric, Syritsyn, Sergey, Szczepaniak, Adam, Sznajder, Pawel, Tandogan, Asli, Tawabutr, Yossathorn, Tawfik, A., Terry, John, Toll, Tobias, Tomalak, Oleksandr, Twagirayezu, Fidele, Venugopalan, Raju, Vitev, Ivan, Vladimirov, Alexey, Vogelsang, Werner, Vogt, Ramona, Vujanovic, Gojko, Waalewijn, Wouter, Wang, Xiang-Peng, Xiao, Bo-Wen, Xing, Hongxi, Yang, Yi-Bo, Yao, Xiaojun, Yuan, Feng, Zhao, Yong, Zurita, Pia
We outline the physics opportunities provided by the Electron Ion Collider (EIC). These include the study of the parton structure of the nucleon and nuclei, the onset of gluon saturation, the production of jets and heavy flavor, hadron spectroscopy a
Externí odkaz:
http://arxiv.org/abs/2305.14572
High Energy collider experiments are moving to the highest precision frontier quickly. The predictions of observables are based on the factorization formula which helps to connect small to large distances. These predictions can be contrasted with exp
Externí odkaz:
http://arxiv.org/abs/2305.11369
We present the extraction of unpolarized transverse momentum dependent parton distributions functions (TMDPDFs) and Collins-Soper kernel from the fit of Drell-Yan and weak-vector boson production data. The TMDPDF are parameterized, as commonly done,
Externí odkaz:
http://arxiv.org/abs/2305.07473
Publikováno v:
PoS(ICHEP2022)1148
Having access to the parton-level kinematics is important for understanding the internal dynamics of particle collisions. Here, we present new results aiming to an efficient reconstruction of parton collisions using machine-learning techniques. By si
Externí odkaz:
http://arxiv.org/abs/2210.03698
Autor:
Bury, Marcin, Hautmann, Francesco, Leal-Gomez, Sergio, Scimemi, Ignazio, Vladimirov, Alexey, Zurita, Pia
Transverse momentum dependent (TMD) distributions match collinear parton density functions (PDF) in the limit of small transverse distances, which is accounted for by global extractions of TMD distributions. We study the influence of the collinear PD
Externí odkaz:
http://arxiv.org/abs/2201.07114
Publikováno v:
SciPost Phys. Core 5, 049 (2022)
In the context of high-energy physics, a reliable description of the parton-level kinematics plays a crucial role for understanding the internal structure of hadrons and improving the precision of the calculations. Here, we study the production of on
Externí odkaz:
http://arxiv.org/abs/2112.05043
Studies of fragmentation and parton density functions are a core component of researchin high energy particle and nuclear physics. These quantities are inherently interestingas a probe of the quantum nature of the strong force and are also essential
Externí odkaz:
http://arxiv.org/abs/2108.09849