2025-03-20 06:28 |
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Supporting the development of Machine Learning for fundamental science in a federated Cloud with the AI_INFN platform
/ Anderlini, Lucio (INFN, Florence) ; Barbetti, Matteo (INFN, CNAF) ; Bianchini, Giulio (INFN, Perugia ; Perugia U.) ; Ciangottini, Diego (INFN, Perugia) ; Dal Pra, Stefano (INFN, CNAF) ; Michelotto, Diego (INFN, CNAF) ; Pellegrino, Carmelo (INFN, CNAF) ; Petrini, Rosa (INFN, Florence) ; Pascolini, Alessandro (INFN, CNAF) ; Spiga, Daniele (INFN, Perugia)
Machine Learning (ML) is driving a revolution in the way scientists design, develop, and deploy data-intensive software. [...]
arXiv:2502.21266.
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2025
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2025-03-20 06:28 |
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2025-03-20 04:08 |
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2025-03-20 04:07 |
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2025-03-19 06:34 |
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Tuning the CMS Coffea-casa facility for 200 Gbps Challenge
/ Albin, Sam (Nebraska U.) ; Attebury, Garhan (Nebraska U.) ; Bloom, Kenneth (Nebraska U.) ; Bockelman, Brian Paul (Morgridge Inst. Res., Madison) ; Lopez, Benjamin Tovar (Nebraska U.) ; Lundstedt, Carl (Nebraska U. ; Notre Dame U.) ; Shadura, Oksana (Nebraska U.) ; Thiltges, John (Nebraska U.) ; Weitzel, Derek (Nebraska U.) ; Wightman, Andrew (Nebraska U.)
As a part of the IRIS-HEP "Analysis Grand Challenge" activities, the Coffea-casa AF team executed a "200 Gbps Challenge". [...]
arXiv:2503.12991.
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2025
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2025-03-19 06:34 |
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2025-03-19 06:34 |
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Data discovery, analysis and reproducibility in Virtual Research Environments
/ García García, Enrique (CERN) ; Guerrieri, Giovanni (CERN) ; Mercado, Rubén Pérez (CERN) ; Zengel, Michael Ryan (CERN) ; Skorobogatov, Georgy (Barcelona U. ; ICC, Barcelona U.) ; Labrador, Hugo González (CERN) ; Espinal Curull, Xavier (CERN)
During the ESCAPE project, a pilot analysis facility was developed with a bottom-up approach, in collaboration with all the project partners. [...]
arXiv:2503.02483.
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2025 - 8.
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2025-03-19 04:41 |
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NNPDFpol2.0: unbiased global determination of polarized PDFs and their uncertainties at next-to-next-to-leading order
/ Cruz-Martinez, Juan (CERN) ; Hasenack, Toon (Utrecht U., Spinoza Inst. ; NIKHEF, Amsterdam) ; Hekhorn, Felix (Jyvaskyla U. ; Helsinki U.) ; Magni, Giacomo (NIKHEF, Amsterdam ; Vrije U., Amsterdam) ; Nocera, Emanuele R. (Turin U. ; INFN, Turin) ; Rabemananjara, Tanjona R. (NIKHEF, Amsterdam ; Vrije U., Amsterdam) ; Rojo, Juan (NIKHEF, Amsterdam ; Vrije U., Amsterdam) ; Sharma, Tanishq (Turin U. ; INFN, Turin) ; van Seeventer, Gijs (Utrecht U., Spinoza Inst. ; NIKHEF, Amsterdam)
We present NNPDFpol2.0, a new set of collinear helicity parton distribution functions (PDFs) of the proton based on legacy measurements of structure functions in inclusive neutral-current longitudinally polarised deep-inelastic scattering (DIS), and of W -boson, single-inclusive, and di-jet production asymmetries in longitudinally polarised proton-proton collisions. [...]
arXiv:2503.11814.
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42.
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2025-03-19 04:32 |
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2025-03-18 04:01 |
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