Zobrazeno 1 - 10
of 1 356
pro vyhledávání: '"Held Alexander"'
Autor:
Alshehri, Azzah, Bürger, Jan, Chopra, Saransh, Eich, Niclas, Eppelt, Jonas, Erdmann, Martin, Eschle, Jonas, Fackeldey, Peter, Farkas, Maté, Feickert, Matthew, Fillinger, Tristan, Fischer, Benjamin, Gerlach, Lino Oscar, Hartmann, Nikolai, Heidelbach, Alexander, Held, Alexander, Ivanov, Marian I, Molina, Josué, Nikitenko, Yaroslav, Osborne, Ianna, Padulano, Vincenzo Eduardo, Pivarski, Jim, Praz, Cyrille, Rieger, Marcel, Rodrigues, Eduardo, Shadura, Oksana, Smieško, Juraj, Stark, Giordon Holtsberg, Steinfeld, Judith, Warkentin, Angela
The second PyHEP.dev workshop, part of the "Python in HEP Developers" series organized by the HEP Software Foundation (HSF), took place in Aachen, Germany, from August 26 to 30, 2024. This gathering brought together nearly 30 Python package developer
Externí odkaz:
http://arxiv.org/abs/2410.02112
Realistic environments for prototyping, studying and improving analysis workflows are a crucial element on the way towards user-friendly physics analysis at HL-LHC scale. The IRIS-HEP Analysis Grand Challenge (AGC) provides such an environment. It de
Externí odkaz:
http://arxiv.org/abs/2401.02766
Machine learning (ML) has become an integral component of high energy physics data analyses and is likely to continue to grow in prevalence. Physicists are incorporating ML into many aspects of analysis, from using boosted decision trees to classify
Externí odkaz:
http://arxiv.org/abs/2401.01802
Autor:
Shadura, Oksana, Held, Alexander
The IRIS-HEP Analysis Grand Challenge (AGC) is designed to be a realistic environment for investigating how analysis methods scale to the demands of the HL-LHC. The analysis task is based on publicly available Open Data and allows for comparing the u
Externí odkaz:
http://arxiv.org/abs/2304.05214
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:
Butter, Anja, Plehn, Tilman, Schumann, Steffen, Badger, Simon, Caron, Sascha, Cranmer, Kyle, Di Bello, Francesco Armando, Dreyer, Etienne, Forte, Stefano, Ganguly, Sanmay, Gonçalves, Dorival, Gross, Eilam, Heimel, Theo, Heinrich, Gudrun, Heinrich, Lukas, Held, Alexander, Höche, Stefan, Howard, Jessica N., Ilten, Philip, Isaacson, Joshua, Janßen, Timo, Jones, Stephen, Kado, Marumi, Kagan, Michael, Kasieczka, Gregor, Kling, Felix, Kraml, Sabine, Krause, Claudius, Krauss, Frank, Kröninger, Kevin, Barman, Rahool Kumar, Luchmann, Michel, Magerya, Vitaly, Maitre, Daniel, Malaescu, Bogdan, Maltoni, Fabio, Martini, Till, Mattelaer, Olivier, Nachman, Benjamin, Pitz, Sebastian, Rojo, Juan, Schwartz, Matthew, Shih, David, Siegert, Frank, Stegeman, Roy, Stienen, Bob, Thaler, Jesse, Verheyen, Rob, Whiteson, Daniel, Winterhalder, Ramon, Zupan, Jure
Publikováno v:
SciPost Phys. 14, 079 (2023)
First-principle simulations are at the heart of the high-energy physics research program. They link the vast data output of multi-purpose detectors with fundamental theory predictions and interpretation. This review illustrates a wide range of applic
Externí odkaz:
http://arxiv.org/abs/2203.07460
Autor:
Cranmer, Kyle, Kraml, Sabine, Prosper, Harrison B., Bechtle, Philip, Bernlochner, Florian U., Bloch, Itay M., Canonero, Enzo, Chrzaszcz, Marcin, Coccaro, Andrea, Conrad, Jan, Cowan, Glen, Feickert, Matthew, Iachellini, Nahuel Ferreiro, Fowlie, Andrew, Heinrich, Lukas, Held, Alexander, Kuhr, Thomas, Kvellestad, Anders, Madigan, Maeve, Mahmoudi, Farvah, Morå, Knut Dundas, Neubauer, Mark S., Pierini, Maurizio, Rojo, Juan, Sekmen, Sezen, Silvestrini, Luca, Sanz, Veronica, Stark, Giordon, Torre, Riccardo, Thorne, Robert, Waltenberger, Wolfgang, Wardle, Nicholas, Wittbrodt, Jonas
Publikováno v:
SciPost Phys. 12, 037 (2022)
The statistical models used to derive the results of experimental analyses are of incredible scientific value and are essential information for analysis preservation and reuse. In this paper, we make the scientific case for systematically publishing
Externí odkaz:
http://arxiv.org/abs/2109.04981
Autor:
Stakia, Anna, Dorigo, Tommaso, Banelli, Giovanni, Bortoletto, Daniela, Casa, Alessandro, de Castro, Pablo, Delaere, Christophe, Donini, Julien, Finos, Livio, Gallinaro, Michele, Giammanco, Andrea, Held, Alexander, Morales, Fabricio Jiménez, Kotkowski, Grzegorz, Liew, Seng Pei, Maltoni, Fabio, Menardi, Giovanna, Papavergou, Ioanna, Saggio, Alessia, Scarpa, Bruno, Strong, Giles C., Tosciri, Cecilia, Varela, João, Vischia, Pietro, Weiler, Andreas
Publikováno v:
Rev. Phys. 7 (2021) 100063
Between the years 2015 and 2019, members of the Horizon 2020-funded Innovative Training Network named "AMVA4NewPhysics" studied the customization and application of advanced multivariate analysis methods and statistical learning tools to high-energy
Externí odkaz:
http://arxiv.org/abs/2105.07530
Publikováno v:
EPJ Web of Conferences, Vol 295, p 06016 (2024)
Realistic environments for prototyping, studying and improving analysis workflows are a crucial element on the way towards user-friendly physics analysis at HL-LHC scale. The IRIS-HEP Analysis Grand Challenge (AGC) provides such an environment. It de
Externí odkaz:
https://doaj.org/article/f277490b955e410287dbad9fd3b53d7b
