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2025-03-20
06:28
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. - 2025
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2025-03-20
06:28
Enhancing software-hardware co-design for HEP by low-overhead profiling of single- and multi-threaded programs on diverse architectures with Adaptyst / Graczyk, Maksymilian (CERN) ; Roiser, Stefan (CERN)
Given the recent technological trends and novel computing paradigms spanning both software and hardware, physicists and software developers can no longer just rely on computers becoming faster to meet the ever-increasing computing demands of their research. [...]
arXiv:2502.20947. - 2025 - 8.
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2025-03-20
04:08
Coaching station for FIT on-call shifters / Roslon, Krystian
We present an efficient and cost-effective way to train operators of complex systems with limited accessibility, such as sub-detectors of big experiments at the CERN Large Hadron Collider (LHC). [...]
arXiv:2503.14196. -
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2025-03-20
04:07
Finite-temperature bubble nucleation with shifting scale hierarchies / Kierkla, Maciej (Warsaw U.) ; Schicho, Philipp (Geneva U.) ; Swiezewska, Bogumila ; Tenkanen, Tuomas V.I. (Helsinki Inst. of Phys.) ; van de Vis, Jorinde (CERN)
Focusing on supercooled phase transitions in models with classical scale symmetry, we formulate a state-of-the art framework for computing the bubble-nucleation rate, accounting for the presence of various energy scales. [...]
CERN-TH-2025-046 ; HIP-2024-27/TH ; arXiv:2503.13597. - 56.
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2025-03-19
06:34
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. - 2025
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2025-03-19
06:34
ML-based Adaptive Prefetching and Data Placement for US HEP Systems / Karanam, Venkat Sai Suman Lamba (Nebraska U.) ; Barla, Sarat Sasank (Nebraska U.) ; Ramamurthy, Byrav (Nebraska U.) ; Weitzel, Derek (Nebraska U.)
Although benefits from caching in US HEP are well-known, current caching strategies are not adaptive i.e. [...]
arXiv:2503.06015. - 2025 - 8.
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2025-03-19
06:34
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. - 2025 - 8.
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2025-03-19
04:41
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. - 42.
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2025-03-19
04:32
Testing the QCD formation time with reconstructed parton splittings / Brewer, Jasmine (Oxford U., Theor. Phys.) ; van der Schee, Wilke (CERN ; Utrecht U. (main) ; NIKHEF, Amsterdam) ; Wiedemann, Urs (CERN)
In high-energy elementary collisions the space-time ordering of parton branching processes is not accessible experimentally. [...]
CERN-TH-2025-053 ; arXiv:2503.11764. - 25.
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2025-03-18
04:01
Forecasting Constraints on SIGW with Future Pulsar Timing Array Observations / Cecchini, Chiara ; Franciolini, Gabriele ; Pieroni, Mauro
Pulsar Timing Arrays are playing a crucial role in the ongoing gravitational wave astronomy revolution. [...]
CERN-TH-2025-045 ; arXiv:2503.10805. - 18.
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