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741“…These objects can gravitationally lens the signal of fast radio bursts (FRBs), producing a characteristic interference pattern in the frequency spectrum, similar to the previously studied femtolensing signal in gamma-ray burst spectra. …”
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742por Rousselle, Olivier“…This article describes technical details of the Fast Cherenkov model of photons generation and transportation through the optical part of the Time of Flight Detector of the ATLAS Forward Proton detector (AFP). …”
Publicado 2020
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743por Klimpel, Fabian“…The performance of this Fast Track Reconstruction is presented and compared to the one of the default Phase 2 track reconstruction.…”
Publicado 2020
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744por Klimpel, Fabian“…The performance of this Fast Track Reconstruction is presented and compared to the one of the default Phase 2 track reconstruction.…”
Publicado 2020
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745
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746
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747por Anne, R, Bazin, D, Bimbot, R, García-Borge, M J, Corre, J M, Dogny, S, Emling, H, Guillemaud-Müller, D, Hansen, P G, Hornshøj, P, Jensen, P, Jonson, B, Lewitowicz, M, Müller, A C, Neugart, R, Nilsson, T, Nyman, G H, Pougheon, F, Saint-Laurent, M G, Schrieder, G, Sorlin, O, Tengblad, O, Wilhelmsen-Rolander, KEnlace del recurso
Publicado 1994
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748
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749
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750por Ratnikov, Fedor“…Given the computing resources pledged for the production of Monte Carlo simulated events in the next years, the use of fast simulation techniques will be mandatory to cope with the expected dataset size. …”
Publicado 2020
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751por Rousselle, Olivier“…We describe the technical details of the fast Cherenkov model of photon generation and transportation through the optical part of the ToF detector. …”
Publicado 2021
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752
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753por Slupecki, Maciej“…The Fast Interaction Trigger (FIT) denotes a set of three new detectors being part of the upgrade of ALICE in preparation for Run 3 of the LHC at CERN. …”
Publicado 2021
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754por Deiana, Allison McCarn, Tran, Nhan, Agar, Joshua, Blott, Michaela, Di Guglielmo, Giuseppe, Duarte, Javier, Harris, Philip, Hauck, Scott, Liu, Mia, Neubauer, Mark S., Ngadiuba, Jennifer, Ogrenci-Memik, Seda, Pierini, Maurizio, Aarrestad, Thea, Bahr, Steffen, Becker, Jurgen, Berthold, Anne-Sophie, Bonventre, Richard J., Bravo, Tomas E. Muller, Diefenthaler, Markus, Dong, Zhen, Fritzsche, Nick, Gholami, Amir, Govorkova, Ekaterina, Guo, Dongning, Hazelwood, Kyle J., Herwig, Christian, Khan, Babar, Kim, Sehoon, Klijnsma, Thomas, Liu, Yaling, Lo, Kin Ho, Nguyen, Tri, Pezzullo, Gianantonio, Rasoulinezhad, Seyedramin, Rivera, Ryan A., Scholberg, Kate, Selig, Justin, Sen, Sougata, Strukov, Dmitri, Tang, William, Thais, Savannah, Unger, Kai Lukas, Vilalta, Ricardo, Krosigk, Belinavon, von Krosigk, Belina, Wang, Shen, Warburton, Thomas K., Flechas, Maria Acosta, Aportela, Anthony, Calvet, Thomas, Cristella, Leonardo, Diaz, Daniel, Doglioni, Caterina, Galati, Maria Domenica, Khoda, Elham E., Fahim, Farah, Giri, Davide, Hawks, Benjamin, Hoang, Duc, Holzman, Burt, Hsu, Shih-Chieh, Jindariani, Sergo, Johnson, Iris, Kansal, Raghav, Kastner, Ryan, Katsavounidis, Erik, Krupa, Jeffrey, Li, Pan, Madireddy, Sandeep, Marx, Ethan, McCormack, Patrick, Meza, Andres, Mitrevski, Jovan, Mohammed, Mohammed Attia, Mokhtar, Farouk, Moreno, Eric, Nagu, Srishti, Narayan, Rohin, Palladino, Noah, Que, Zhiqiang, Park, Sang Eon, Ramamoorthy, Subramanian, Rankin, Dylan, Rothman, Simon, Sharma, Ashish, Summers, Sioni, Vischia, Pietro, Vlimant, Jean-Roch, Weng, Olivia“…In this community review report, we discuss applications and techniques for fast machine learning (ML) in science—the concept of integrating powerful ML methods into the real-time experimental data processing loop to accelerate scientific discovery. …”
Publicado 2021
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755
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756
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757
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758
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759
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760