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pro vyhledávání: '"Donini Julien"'
Autor:
Dorigo, Tommaso, Aehle, Max, Arcaro, Cornelia, Awais, Muhammad, Bergamaschi, Fabiola, Donini, Julien, Doro, Michele, Gauger, Nicolas R., Izbicki, Rafael, Kieseler, Jan, Lee, Ann, Masserano, Luca, Nardi, Federico, Rajesh, Raaghav, Vergara, Luis Recabarren, Shen, Alexander
In this document we consider the problem of finding the optimal layout for the array of water Cherenkov detectors proposed by the SWGO collaboration to study very-high-energy gamma rays in the southern hemisphere. We develop a continuous model of the
Externí odkaz:
http://arxiv.org/abs/2310.01857
Autor:
Aehle, Max, Arsini, Lorenzo, Barreiro, R. Belén, Belias, Anastasios, Bury, Florian, Cebrian, Susana, Demin, Alexander, Dickinson, Jennet, Donini, Julien, Dorigo, Tommaso, Doro, Michele, Gauger, Nicolas R., Giammanco, Andrea, Gray, Lindsey, González, Borja S., Kain, Verena, Kieseler, Jan, Kusch, Lisa, Liwicki, Marcus, Maier, Gernot, Nardi, Federico, Ratnikov, Fedor, Roussel, Ryan, de Austri, Roberto Ruiz, Sandin, Fredrik, Schenk, Michael, Scarpa, Bruno, Silva, Pedro, Strong, Giles C., Vischia, Pietro
In this article we examine recent developments in the research area concerning the creation of end-to-end models for the complete optimization of measuring instruments. The models we consider rely on differentiable programming methods and on the spec
Externí odkaz:
http://arxiv.org/abs/2310.05673
Publikováno v:
Eur. Phys. J. C 83, 1008 (2023)
In recent years, interest has grown in alternative strategies for the search for New Physics beyond the Standard Model. One envisaged solution lies in the development of anomaly detection algorithms based on unsupervised machine learning techniques.
Externí odkaz:
http://arxiv.org/abs/2305.15179
In high Energy Physics, it is common to look for a localized deviation in data with respect to a given reference. For this task, the well known BumpHunter algorithm allows for a model-independent deviation search with the advantage of estimating a gl
Externí odkaz:
http://arxiv.org/abs/2211.07446
Publikováno v:
SciPost Phys. Codebases 15 (2023)
The BumpHunter algorithm is widely used in the search for new particles in High Energy Physics analysis. This algorithm offers the advantage of evaluating the local and global p-values of a localized deviation in the observed data without making any
Externí odkaz:
http://arxiv.org/abs/2208.14760
Autor:
Dorigo, Tommaso, Giammanco, Andrea, Vischia, Pietro, Aehle, Max, Bawaj, Mateusz, Boldyrev, Alexey, Manzano, Pablo de Castro, Derkach, Denis, Donini, Julien, Edelen, Auralee, Fanzago, Federica, Gauger, Nicolas R., Glaser, Christian, Baydin, Atılım G., Heinrich, Lukas, Keidel, Ralf, Kieseler, Jan, Krause, Claudius, Lagrange, Maxime, Lamparth, Max, Layer, Lukas, Maier, Gernot, Nardi, Federico, Pettersen, Helge E. S., Ramos, Alberto, Ratnikov, Fedor, Röhrich, Dieter, de Austri, Roberto Ruiz, del Árbol, Pablo Martínez Ruiz, Savchenko, Oleg, Simpson, Nathan, Strong, Giles C., Taliercio, Angela, Tosi, Mia, Ustyuzhanin, Andrey, Zaraket, Haitham
The full optimization of the design and operation of instruments whose functioning relies on the interaction of radiation with matter is a super-human task, given the large dimensionality of the space of possible choices for geometry, detection techn
Externí odkaz:
http://arxiv.org/abs/2203.13818
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
Autor:
Kasieczka, Gregor, Nachman, Benjamin, Shih, David, Amram, Oz, Andreassen, Anders, Benkendorfer, Kees, Bortolato, Blaz, Brooijmans, Gustaaf, Canelli, Florencia, Collins, Jack H., Dai, Biwei, De Freitas, Felipe F., Dillon, Barry M., Dinu, Ioan-Mihail, Dong, Zhongtian, Donini, Julien, Duarte, Javier, Faroughy, D. A., Gonski, Julia, Harris, Philip, Kahn, Alan, Kamenik, Jernej F., Khosa, Charanjit K., Komiske, Patrick, Pottier, Luc Le, Martín-Ramiro, Pablo, Matevc, Andrej, Metodiev, Eric, Mikuni, Vinicius, Ochoa, Inês, Park, Sang Eon, Pierini, Maurizio, Rankin, Dylan, Sanz, Veronica, Sarda, Nilai, Seljak, Urous, Smolkovic, Aleks, Stein, George, Suarez, Cristina Mantilla, Szewc, Manuel, Thaler, Jesse, Tsan, Steven, Udrescu, Silviu-Marian, Vaslin, Louis, Vlimant, Jean-Roch, Williams, Daniel, Yunus, Mikaeel
A new paradigm for data-driven, model-agnostic new physics searches at colliders is emerging, and aims to leverage recent breakthroughs in anomaly detection and machine learning. In order to develop and benchmark new anomaly detection methods within
Externí odkaz:
http://arxiv.org/abs/2101.08320
Autor:
Lucotte Arnaud, Leroy Olivier, Laktineh Imad, Kégl Balázs, Donini Julien, Berat Corinne, Busato Emmanuel, Baudot Jerome
Publikováno v:
EPJ Web of Conferences, Vol 55, p 00001 (2013)
Externí odkaz:
https://doaj.org/article/a9ca963689a941809affefe634a8c8bd
Autor:
Dorigo, Tommaso, Giammanco, Andrea, Vischia, Pietro, Aehle, Max, Bawaj, Mateusz, Boldyrev, Alexey, de Castro Manzano, Pablo, Derkach, Denis, Donini, Julien, Edelen, Auralee, Fanzago, Federica, Gauger, Nicolas R., Glaser, Christian, Baydin, Atılım G., Heinrich, Lukas, Keidel, Ralf, Kieseler, Jan, Krause, Claudius, Lagrange, Maxime, Lamparth, Max, Layer, Lukas, Maier, Gernot, Nardi, Federico, Pettersen, Helge E.S., Ramos, Alberto, Ratnikov, Fedor, Röhrich, Dieter, de Austri, Roberto Ruiz, del Árbol, Pablo Martínez Ruiz, Savchenko, Oleg, Simpson, Nathan, Strong, Giles C., Taliercio, Angela, Tosi, Mia, Ustyuzhanin, Andrey, Zaraket, Haitham
Publikováno v:
In Reviews in Physics June 2023 10