Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Puljak, Ema"'
Autor:
Schuhmacher, Julian, Boggia, Laura, Belis, Vasilis, Puljak, Ema, Grossi, Michele, Pierini, Maurizio, Vallecorsa, Sofia, Tacchino, Francesco, Barkoutsos, Panagiotis, Tavernelli, Ivano
Publikováno v:
Mach. Learn.: Sci. Technol. 4 045031 (2023)
Much hope for finding new physics phenomena at microscopic scale relies on the observations obtained from High Energy Physics experiments, like the ones performed at the Large Hadron Collider (LHC). However, current experiments do not indicate clear
Externí odkaz:
http://arxiv.org/abs/2301.10787
Autor:
Woźniak, Kinga Anna, Belis, Vasilis, Puljak, Ema, Barkoutsos, Panagiotis, Dissertori, Günther, Grossi, Michele, Pierini, Maurizio, Reiter, Florentin, Tavernelli, Ivano, Vallecorsa, Sofia
We propose a new strategy for anomaly detection at the LHC based on unsupervised quantum machine learning algorithms. To accommodate the constraints on the problem size dictated by the limitations of current quantum hardware we develop a classical co
Externí odkaz:
http://arxiv.org/abs/2301.10780
Autor:
Govorkova, Ekaterina, Puljak, Ema, Aarrestad, Thea, James, Thomas, Loncar, Vladimir, Pierini, Maurizio, Pol, Adrian Alan, Ghielmetti, Nicolò, Graczyk, Maksymilian, Summers, Sioni, Ngadiuba, Jennifer, Nguyen, Thong Q., Duarte, Javier, Wu, Zhenbin
Publikováno v:
Nature Machine Intelligence 4, 154 (2022)
In this paper, we show how to adapt and deploy anomaly detection algorithms based on deep autoencoders, for the unsupervised detection of new physics signatures in the extremely challenging environment of a real-time event selection system at the Lar
Externí odkaz:
http://arxiv.org/abs/2108.03986
Autor:
Govorkova, Ekaterina, Puljak, Ema, Aarrestad, Thea, Pierini, Maurizio, Woźniak, Kinga Anna, Ngadiuba, Jennifer
In particle detectors at the Large Hadron Collider, tens of terabytes of data are produced every second from proton-proton collisions occurring at a rate of 40 megahertz. This data rate is reduced to a sustainable level by a real-time event filter pr
Externí odkaz:
http://arxiv.org/abs/2107.02157
Autor:
Belis, Vasilis, Woźniak, Kinga Anna, Puljak, Ema, Barkoutsos, Panagiotis, Dissertori, Günther, Grossi, Michele, Pierini, Maurizio, Reiter, Florentin, Tavernelli, Ivano, Vallecorsa, Sofia
Publikováno v:
Communications Physics; 10/14/2024, Vol. 7 Issue 1, p1-11, 11p
Autor:
Badaro Gilbert, Behrens Ulf, Bocci Andrea, Branson James, Brummer Philipp, Cittolin Sergio, Da Silva-Gomes Diego, Darlea Georgiana-Lavinia, Deldicque Christian, Dobson Marc, Gigi Dominique, Dzemaili Nekija, Gladki Maciej, Glege Frank, Gomez-Ceballos Guillelmo, Hegeman Jeroen, James Thomas Owen, Li Wei, Meijers Frans, Meschi Emilio, Mommsen Remigius K., Morovic Srecko, Orsini Luciano, Papakrivopoulos Ioannis, Paus Christoph, Petrucci Andrea, Pieri Marco, Puljak Ema, Rabady Dinyar, Raychinov Kolyo, Racz Attila, Sakulin Hannes, Schwick Christoph, Simelevicius Dainius, Soursos Panagiotis, Stahl Andre, Suthakar Uthayanath, Vazquez-Velez Cristina, Zejdl Petr
Publikováno v:
EPJ Web of Conferences, Vol 251, p 04023 (2021)
The High Luminosity LHC (HL-LHC) will start operating in 2027 after the third Long Shutdown (LS3), and is designed to provide an ultimate instantaneous luminosity of 7:5 × 1034 cm−2 s−1, at the price of extreme pileup of up to 200 interactions p
Externí odkaz:
https://doaj.org/article/c98fe7a6d04446978b44dac9f5a51499
Autor:
Puljak, Ema, Belis, Vasilis, Wozniak, Kinga Anna, Dissertori, Günther, Grossi, Michele, Pierini, Maurizio, Reiter, Florentin, Barkoutsos, Panagiotis, Tavernelli, Ivano, Vallecorsa, Sofia
We propose a new strategy for anomaly detection at the LHC based on unsupervised quantum machine learning algorithms. To accommodate the constraints on the problem size dictated by the limitations of current quantum hardware we develop a classical co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eebc30b807e24785dce164e71ec13105
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Akademický článek
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Autor:
Puljak, Ema
Potraga za novim pojavama u fizici koje su izvan Standardnog modela fizike jedan je od glavnih razloga za projektiranje i izradu Velikog Hadronskog Sudarača (engl. Large Hadron Collider) u CERN -u. Ovaj rad opisuje razvoj algoritama nenadziranog uč
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4131::0103ae9953483fe8466f20c96df92006
https://repozitorij.fer.unizg.hr/islandora/object/fer:8554
https://repozitorij.fer.unizg.hr/islandora/object/fer:8554