CERN Accelerating science

Hauptseite > Articles & Preprints > Preprints

Preprints

Durchsuche 139,016 Datensätze nach:
Suchtipps
Erweiterte Suche
Add to Search +
Letzte Einträge:
2023-09-26
14:26
Evaluating Performance Portability with the CMS Heterogeneous Pixel Reconstruction code / CMS Collaboration
In the past years the landscape of tools for expressing parallel algorithms in a portable way across various compute accelerators has continued to evolve significantly. There are many technologies on the market that provide portability between CPU, GPUs from several vendors, and in some cases even FPGAs. [...]
CMS-CR-2023-127.- Geneva : CERN, 2023 - 9 p. Fulltext: PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023

Details des Eintrags - Ähnliche Datensätze
2023-09-26
09:16
A new method for space-time reconstruction of images of gamma-ray telescopes applied to the LST-1 of CTA / Emery, Gabriel (Universite de Geneve (CH)) /RE23/CTA-LST Collaboration
Context. Imaging Atmospheric Cherenkov Telescopes (IACTs) are used to observe Very High Energy photons from the ground. [...]
CERN-RE23-2023-004.- Geneva : CERN, 2023 LST LH Fit v1: PDF;

Details des Eintrags - Ähnliche Datensätze
2023-09-26
08:59
Development and Quality Control of PMT Modules for the Large-Sized Telescopes of the Cherenkov Telescope Array /RE23/CTA-LST Collaboration
The cameras of the Large-Sized Telescopes (LSTs) of the Cherenkov Telescope Array (CTA) consist of 1855 pixels that are divided into 265 high-performance photomultiplier tube (PMT) modules. Each module is composed of a seven-light-guide plate, seven PMT units, a slow control board, and a readout board with a trigger mezzanine board. [...]
CERN-RE23-2023-003.- Geneva : CERN, 2023 LST_PMT_Module_v4: PDF;

Details des Eintrags - Ähnliche Datensätze
2023-09-25
21:53
Inclusive and differential cross section measurements of $ {\mathrm{t}\bar{\mathrm{t}}} \mathrm{b}\bar{\mathrm{b}} $ production in the lepton+jets channel at $ \sqrt{s}= $ 13 TeV
Measurements of inclusive and normalized differential cross sections of the associated production of top quark-antiquark and bottom quark-antiquark pairs, $ {\mathrm{t}\bar{\mathrm{t}}} \mathrm{b}\bar{\mathrm{b}} $, are presented. [...]
CERN-EP-2023-201 ; CMS-TOP-22-009-003. - 2023.
Additional information for the analysis - CMS AuthorList - Fulltext - CMS HEPData

Details des Eintrags - Ähnliche Datensätze
2023-09-25
17:59
Adoption of a token-based authentication model for the CMS Submission Infrastructure. / Mascheroni, Marco (UC, San Diego) /CMS Collaboration
The CMS Submission Infrastructure (SI) is the main computing resource provisioning system for CMS workloads. A number of HTCondor pools are employed to manage this infrastructure, which aggregates geographically distributed resources from the WLCG and other providers. [...]
CMS-CR-2023-170.- Geneva : CERN, 2023 - 7 p. Fulltext: PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023

Details des Eintrags - Ähnliche Datensätze
2023-09-25
17:59
The integration of heterogeneous resources in the CMS Submission Infrastructure for the LHC Run 3 and beyond / Perez-Calero Yzquierdo, Antonio Maria (Madrid, CIEMAT) ; Mascheroni, Marco (UC, San Diego) ; Kizinevic, Edita (CERN) ; Khan, Farrukh Aftab (Fermilab) ; Kim, Hyunwoo (Fermilab) ; Acosta Flechas, Maria (Fermilab) ; Tsipinakis, Nikos (CERN) ; Haleem, Saqib (Quaid-i-Azam U.) /CMS Collaboration
While the computing landscape supporting LHC experiments is currently dominated by x86 processors at WLCG sites, this configuration will evolve in the coming years. LHC collaborations will be increasingly employing HPC and Cloud facilities to process the vast amounts of data expected during the LHC Run 3 and the future HL-LHC phase. [...]
CMS-CR-2023-169.- Geneva : CERN, 2023 - 9 p. Fulltext: PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023

Details des Eintrags - Ähnliche Datensätze
2023-09-25
17:59
HPC resources for CMS offline computing: an integration and scalability challenge for the Submission Infrastructure / Perez-Calero Yzquierdo, Antonio Maria (Madrid, CIEMAT) ; Mascheroni, Marco (UC, San Diego) ; Kizinevic, Edita (CERN) ; Khan, Farrukh Aftab (Fermilab) ; Kim, Hyunwoo (Fermilab) ; Acosta Flechas, Maria (Fermilab) ; Tsipinakis, Nikos (CERN) ; Haleem, Saqib (Quaid-i-Azam U.) /CMS Collaboration
The computing resource needs of LHC experiments are expected to continue growing significantly during the Run 3 and into the HL-LHC era. The landscape of available resources will also evolve, as HPC and Cloud resources will provide a comparable, or even dominant, fraction of the total compute capacity. [...]
CMS-CR-2023-168.- Geneva : CERN, 2023 - 9 p. Fulltext: PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023

Details des Eintrags - Ähnliche Datensätze
2023-09-25
17:59
A method for inferring signal strength modifiers by conditional invertible neural networks / Farkas, Mate Zoltan (Aachen, Tech. Hochsch.) ; Diekmann, Svenja (Aachen, Tech. Hochsch.) ; Eich, Niclas Steve (Aachen, Tech. Hochsch.) ; Erdmann, Martin (Aachen, Tech. Hochsch.) /CMS Collaboration
The continuous growth in model complexity in high-energy physics (HEP) collider experiments demands increasingly time-consuming model fits. We show first results on the application of conditional invertible networks (cINNs) to this challenge. [...]
CMS-CR-2023-162.- Geneva : CERN, 2023 - 8 p. Fulltext: PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023

Details des Eintrags - Ähnliche Datensätze
2023-09-25
17:59
End-to-end deep learning inference with CMSSW via ONNX using Docker / Chudasama, Ruchi (Alabama U.) /CMS Collaboration
Deep learning techniques have been proven to provide excellent performance for a variety of high energy physics applications, such as particle identification, event reconstruction and trigger operations. Recently, we developed an end-to-end deep learning approach to identify various particles using low-level detector information from high energy collisions. [...]
CMS-CR-2023-161.- Geneva : CERN, 2023 - 9 p. Fulltext: PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023

Details des Eintrags - Ähnliche Datensätze
2023-09-25
17:59
Search for new physics with long-lived and unconventional signatures in CMS / Diaz, Daniel Cipriano (UC, San Diego) /CMS Collaboration
A selection of new results from the CMS detector is presented. These results focus on searches for long lived particles (LLPs) and were produced with Run~2 data. [...]
CMS-CR-2023-158.- Geneva : CERN, 2023 - 7 p. Fulltext: PDF;
In : The 31th International Symposium on Lepton-Photon Interactions at High Energies (Lepton Photon 2023), Melbourne, Victoria, Australia, 17 - 21 Jul 2023

Details des Eintrags - Ähnliche Datensätze
Suchen Sie auch nach:
INSPIRE
KISS Preprints