Výsledky vyhledávání - "di Luca, Andrea"

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Gamma-Ray Burst observations by the high-energy charged particle detector on board the CSES-01 satellite between 2019 and 2021

Autor: Palma, Francesco, Martucci, Matteo, Neubüser, Coralie, Sotgiu, Alessandro, Follega, Francesco Maria, Ubertini, Pietro, Bazzano, Angela, Rodi, James, Ammendola, Roberto, Badoni, Davide, Bartocci, Simona, Battiston, Roberto, Beolè, Stefania, Bertello, Igor, Burger, William Jerome, Campana, Donatella, Cicone, Antonio, Cipollone, Piero, Coli, Silvia, Conti, Livio, Contin, Andrea, Cristoforetti, Marco, D'Angelo, Giulia, De Angelis, Fabrizio, De Donato, Cinzia, De Santis, Cristian, Diego, Piero, Di Luca, Andrea, Fiorenza, Emiliano, Gebbia, Giuseppe, Iuppa, Roberto, Lega, Alessandro, Lolli, Mauro, Martino, Bruno, Masciantonio, Giuseppe, Mergè, Matteo, Mese, Marco, Morbidini, Alfredo, Nozzoli, Francesco, Nuccilli, Fabrizio, Oliva, Alberto, Osteria, Giuseppe, Palmonari, Federico, Panico, Beatrice, Papini, Emanuele, Parmentier, Alexandra, Perciballi, Stefania, Perfetto, Francesco, Perinelli, Alessio, Picozza, Piergiorgio, Piersanti, Mirko, Pozzato, Michele, Rebustini, Gianmaria, Recchiuti, Dario, Ricci, Ester, Ricci, Marco, Ricciarini, Sergio Bruno, Russi, Andrea, Sahnoun, Zouleikha, Savino, Umberto, Scotti, Valentina, Shen, Xuhui, Sparvoli, Roberta, Tofani, Silvia, Vertolli, Nello, Vilona, Veronica, Vitale, Vincenzo, Zannoni, Ugo, Zeren, Zhima, Zoffoli, Simona, Zuccon, Paolo

In this paper we report the detection of five strong Gamma-Ray Bursts (GRBs) by the High-Energy Particle Detector (HEPD-01) mounted on board the China Seismo-Electromagnetic Satellite (CSES-01), operational since 2018 on a Sun-synchronous polar orbit

Externí odkaz: http://arxiv.org/abs/2310.16670

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Applications of Deep Learning to physics workflows

Autor: Agarwal, Manan, Alameda, Jay, Audenaert, Jeroen, Benoit, Will, Beveridge, Damon, Bhattacharya, Meghna, Chatterjee, Chayan, Chatterjee, Deep, Chen, Andy, Cholayil, Muhammed Saleem, Chou, Chia-Jui, Choudhary, Sunil, Coughlin, Michael, Dax, Maximilian, Desai, Aman, Di Luca, Andrea, Duarte, Javier Mauricio, Farrell, Steven, Feng, Yongbin, Goodarzi, Pooyan, Govorkova, Ekaterina, Graham, Matthew, Guiang, Jonathan, Gunny, Alec, Guo, Weichangfeng, Hakenmueller, Janina, Hawks, Ben, Hsu, Shih-Chieh, Jawahar, Pratik, Ju, Xiangyang, Katsavounidis, Erik, Kellis, Manolis, Khoda, Elham E, Lahbabi, Fatima Zahra, Lian, Van Tha Bik, Liu, Mia, Malanchev, Konstantin, Marx, Ethan, McCormack, William Patrick, McLeod, Alistair, Mo, Geoffrey, Moreno, Eric Anton, Muthukrishna, Daniel, Narayan, Gautham, Naylor, Andrew, Neubauer, Mark, Norman, Michael, Omer, Rafia, Pedro, Kevin, Peterson, Joshua, Pürrer, Michael, Raikman, Ryan, Raj, Shivam, Ricker, George, Robbins, Jared, Samani, Batool Safarzadeh, Scholberg, Kate, Schuy, Alex, Skliris, Vasileios, Soni, Siddharth, Sravan, Niharika, Sutton, Patrick, Villar, Victoria Ashley, Wang, Xiwei, Wen, Linqing, Wuerthwein, Frank, Yang, Tingjun, Yeh, Shu-Wei

Modern large-scale physics experiments create datasets with sizes and streaming rates that can exceed those from industry leaders such as Google Cloud and Netflix. Fully processing these datasets requires both sufficient compute power and efficient w

Externí odkaz: http://arxiv.org/abs/2306.08106

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Dissertation/ Thesis

Deep Learning Models Resizing for High Energy Physics experiments

Autor: Di Luca, Andrea

This thesis is focused on the development of novel approaches to improve the explainability of Deep Neural Network models in High Energy Physics to reduce the size of a certain model by dropping irrelevant input information. We show that it is possib

Externí odkaz: https://hdl.handle.net/11572/338814

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DNA self-assembly of single molecules with deterministic position and orientation

Autor: Adamczyk, Aleksandra K., Huijben, Teun A. P. M., Sison, Miguel, di Luca, Andrea, Chiarelli, Germán, Vanni, Stefano, Brasselet, Sophie, Mortensen, Kim, Stefani, Fernando D., Pilo-Pais, Mauricio, Acuna, Guillermo P.

An ideal nanofabrication method should allow the organization of nanoparticles and molecules with nanometric positional precision, stoichiometric control and well-defined orientation. The DNA origami technique has evolved into a highly versatile bott

Externí odkaz: http://arxiv.org/abs/2207.06472

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Akademický článek

The conformational plasticity of structurally unrelated lipid transport proteins correlates with their mode of action.

Autor: Srinivasan, Sriraksha¹ (AUTHOR), Di Luca, Andrea¹ (AUTHOR), Álvarez, Daniel^1,2 (AUTHOR), John Peter, Arun T.¹ (AUTHOR), Gehin, Charlotte³ (AUTHOR), Lone, Museer A.⁴ (AUTHOR), Hornemann, Thorsten⁴ (AUTHOR), D'Angelo, Giovanni³ (AUTHOR), Vanni, Stefano^1,5 (AUTHOR) stefano.vanni@unifr.ch

Publikováno v: PLoS Biology. 8/19/2024, Vol. 22 Issue 8, p1-24. 24p.

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Real-time reconstruction of long-lived particles at LHCb using FPGAs

Autor: Cenci, Riccardo, Di Luca, Andrea, Lazzari, Federico, Morello, Michael J., Punzi, Giovanni

Finding tracks downstream of the magnet at the earliest LHCb trigger level is not part of the baseline plan of the upgrade trigger, on account of the significant CPU time required to execute the search. Many long-lived particles, such as $K^0_S$ and

Externí odkaz: http://arxiv.org/abs/2006.11067

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