2025-04-22 11:01 |
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2025-04-22 11:01 |
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2025-04-15 12:53 |
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2025-04-15 10:00 |
CMS FlashSim end-to-end simulation with ML
/ Rizzi, Andrea (INFN, Pisa ; Pisa U.)
/CMS Collaboration
Detailed event simulation at the LHC is taking a large fraction of computing budget.CMS developed an end-to-end ML based simulation that can speed up the time for production of analysis samples of several orders of magnitude with a limited loss of accuracy. As the CMS experiment is adopting a common analysis level format, the NANOAOD, for a larger number of analyses, such an event representation is used as the target of this ultra fast simulation that we call FlashSim. [...]
CMS-CR-2025-027.-
Geneva : CERN, 2025 - 13 p.
Fulltext: PDF;
In : 27th International Conference on Computing in High Energy & Nuclear Physics, Kraków, Poland, 19 - 25 Oct 2024
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2025-04-07 14:30 |
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2025-04-07 14:30 |
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2025-04-03 13:30 |
Search for rare muonic B decays at CMS
/ Szlezak, Klara Emilia (Warsaw U.)
/CMS Collaboration
In this paper, we present the search for three highly suppressed Standard Model processes at the CMS experiment: B0→μ+μ−, B0s→μ+μ−, and B0s→μ+μ−γ. The latest and most precise
results to date are presented for the first two decays, while the feasibility and experimental strategy for the third, yet unobserved at CMS, are discussed. [...]
CMS-CR-2025-098.-
Geneva : CERN, 2025 - 7 p.
Fulltext: PDF;
In : 31st Cracow Epiphany Conference on the recent LHC results (Epiphany 2025), Cracow, Poland, 13 - 17 Jan 2025
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2025-04-03 13:30 |
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2025-03-31 13:31 |
Recent Experience with the CMS Data Management System
/ Ozturk, Hasan (CERN) ; Paparrigopoulos, Panos (CERN) ; Manrique Ardila, Andres (Wisconsin U., Madison) ; Chauhan, Rahul (Wisconsin U., Madison) ; Ellis, Katy (Rutherford) ; Emmanouil, Christos (CERN) ; Kovalskyi, Dmytro (MIT) ; Vaandering, Eric Wayne (Fermilab) ; Voetberg, Margaret Grace (Fermilab) ; Wightman, Andrew Steven (Nebraska U.)
/CMS Collaboration
The CMS experiment manages a large-scale data infrastructure, currently handling over 200 PB of disk and 500 PB of tape storage and transferring more than 1 PB of data per day on average between various WLCG sites. Utilizing Rucio for high-level data management, FTS for data transfers, and a variety of storage and network technologies at the sites, CMS confronts inevitable challenges due to the system's growing scale and evolving nature. [...]
CMS-CR-2025-055.-
Geneva : CERN, 2025 - 9 p.
Fulltext: PDF;
In : 27th International Conference on Computing in High Energy & Nuclear Physics, Kraków, Poland, 19 - 25 Oct 2024
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2025-03-24 13:03 |
CMS High Level Trigger(HLT) performance in Run 3
/ Maity, Dipak (Bhubaneswar, NISER)
/CMS Collaboration
The CMS experiment at CERN operates a two-stage trigger system to efficiently filter and record events of potential physics interest. The system consists of a hardware-based Level 1 (L1) trigger, which processes detector data at 40 MHz using fast electronics such as FPGAs and ASICs, reducing the data rate to around 110 kHz. [...]
CMS-CR-2025-083.-
Geneva : CERN, 2025 - 5 p.
Fulltext: PDF;
In : 26th DAE-BRNS High Energy Physics Symposium 2024, Varanasi, India, 19 - 23 Dec 2024
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