CERN Accelerating science

CERN Preprints

უკანასკნელი დამატებები:
2023-03-20
14:59
Comparison of inclusive and photon-tagged jet suppression in 5.02 TeV Pb+Pb collisions with ATLAS
Parton energy loss in the quark-gluon plasma (QGP) is studied with a measurement of photon-tagged jet production in 1.7 nb$^{-1}$ of Pb+Pb data and 260 pb$^{-1}$ of $pp$ data, both at $\sqrt{s_\mathrm{NN}} = 5.02$ TeV, with the ATLAS detector. [...]
CERN-EP-2023-029.
- 2023.
Fulltext - Previous draft version

დეტალური ჩანაწერი - მსგავსი ჩანაწერები
2023-03-20
14:25
Features of the CERN Proton Synchrotron of interest to experiments / Hine, M G N
PS-Int-MG-60-52 ; CERN-PS-Int-MG-60-52.
- 1960. - 28 p.
Full text

დეტალური ჩანაწერი - მსგავსი ჩანაწერები
2023-03-20
11:32
Development of a DAQ system for the CMS ECAL Phase 2 recommissioning / Chiusi, Marco (Ecole Polytechnique) /CMS Collaboration
In view of the High-Luminosity phase of the Large Hadron Collider (LHC), in the barrel region of the CMS electromagnetic calorimeter (ECAL) the entire readout electronics will be replaced to cope with the more stringent requirements in terms of trigger latency, acquisition rate, and radiation and pileup resilience. The configuration sequence for the new on-detector electronics, involving both the improved very-front-end and front-end cards, is reported. The sequence of commands and parameters to load in the electronics is controlled by a software developed at CERN by the ECAL upgrade group and it will be the base on which to build the new data acquisition system (DAQ)..
CMS-CR-2023-012.- Geneva : CERN, 2023 - 5 p. Fulltext: PDF;
In : 108th Congresso Nazionale della Societa Italiana di Fisica (SIF 2022), Milan, Italy, 12 - 16 Sep 2022

დეტალური ჩანაწერი - მსგავსი ჩანაწერები
2023-03-20
11:20
CMS tracking performance in Run 2 and early Run 3 data using the tag-and-probe technique / D'anzi, Brunella (INFN, Bari ; Bari U.) /CMS Collaboration
Accurate reconstruction of charged particle trajectories and measurement of their parameters (tracking) is one of the major challenges of the CMS experiment. A precise and efficient tracking is one of the critical components of the CMS physics program as it impacts the ability to reconstruct the physics objects needed to understand proton-proton collisions at the LHC. [...]
CMS-CR-2023-029.- Geneva : CERN, 2023 - 7 p. Fulltext: PDF;
In : 21st International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Bari, It, 24 - 28 Oct 2022

დეტალური ჩანაწერი - მსგავსი ჩანაწერები
2023-03-20
11:20
The Level 1 Scouting system of the CMS experiment / James, Thomas Owen (CERN) /CMS Collaboration
A novel data collection system, known as Level-1 (L1) Scouting, is being introduced as part of the L1 trigger of the CMS experiment at the CERN Large Hadron Collider. The L1 trigger of CMS, implemented in FPGA-based hardware, selects events at 100 kHz for full read-out, within a short 3~microsecond latency window. [...]
CMS-CR-2023-024.- Geneva : CERN, 2023 - 8 p. Fulltext: PDF;
In : 21st International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Bari, It, 24 - 28 Oct 2022

დეტალური ჩანაწერი - მსგავსი ჩანაწერები
2023-03-20
11:20
The Level-1 Global Trigger for Phase-2 Algorithms, configuration and integration in the CMS offline framework / Bortolato, Gabriele (INFN, Padua ; Padua U.) ; Cepeda, Maria Luisa (Madrid, CIEMAT) ; Heikkilae, Jaana Kristiina (Zurich U.) ; Huber, Benjamin (CERN) ; Leutgeb, Elias (CERN) ; Rabady, Dinyar Sebastian (CERN) ; Sakulin, Hannes (CERN) /CMS Collaboration
For the High-Luminosity Large Hadron Collider (HL-LHC) operation, the Compact Muon Solenoid will undergo a significant upgrade and redesign. An upgraded Level-1 Trigger system, based on multiple types of custom processing boards equipped with Xilinx Ultrascale+ Field Programmable Gate Arrays (FPGAs), will exploit fine grained information from the detector subsystems (calorimeter, muon systems and the silicon-strip tracker). [...]
CMS-CR-2023-022.- Geneva : CERN, 2023 - 6 p. Fulltext: PDF;
In : 21st International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Bari, It, 24 - 28 Oct 2022

დეტალური ჩანაწერი - მსგავსი ჩანაწერები
2023-03-20
04:21
Ultraviolet Sensitivity in Higgs-Starobinsky Inflation / Lee, Sung Mook (IPAP, Seoul ; Yonsei U. ; CERN) ; Modak, Tanmoy (Taiwan, Natl. Taiwan U. ; Tokyo Woman's Christian U.) ; Oda, Kin-ya ; Takahashi, Tomo (Saga U., Japan)
The general scalar-tensor theory that includes all the dimension-four terms has parameter regions that can produce successful inflation consistent with cosmological observations. [...]
CERN-TH-2023-040 ; arXiv:2303.09866.
- 23 p.
Fulltext

დეტალური ჩანაწერი - მსგავსი ჩანაწერები
2023-03-20
04:21
On Nonlinear Black Hole Ringdowns from Gauge-Invariance and Measurements / Kehagias, Alex (Natl. Tech. U., Athens ; CERN) ; Riotto, Antonio (Geneva U., CAP ; U. Geneva (main))
It has been recently shown that nonlinear effects emerging at the time of the generation of the quasi-normal modes are necessary to model ringdowns from black hole mergers. [...]
arXiv:2302.01240.
- 11 p.
Fulltext

დეტალური ჩანაწერი - მსგავსი ჩანაწერები
2023-03-19
21:07
First measurement of the top quark pair production cross section in proton-proton collisions at $\sqrt{s} = $ 13.6 TeV
The first measurement of the top quark pair ($ \mathrm{t} \bar{\mathrm{t}} $) production cross section in proton-proton collisions at $\sqrt{s} = $ 13.6 TeV is presented. [...]
CERN-EP-2023-021 ; CMS-TOP-22-012-004.
- 2023.
Additional information for the analysis - CMS AuthorList - Fulltext

დეტალური ჩანაწერი - მსგავსი ჩანაწერები
2023-03-18
06:52
A caching mechanism to exploit object store speed in High Energy Physics analysis / Padulano, Vincenzo Eduardo (CERN ; Valencia, Polytechnic U.) ; Saavedra, Enric Tejedor (CERN) ; Alonso-Jorda, Pedro (Valencia, Polytechnic U.) ; Gomez, Javier Lopez (CERN) ; Blomer, Jakob (CERN)
AbstractData analysis workflows in High Energy Physics (HEP) read data written in the ROOT columnar format. [...]
2022. - 16 p.
Fulltext

დეტალური ჩანაწერი - მსგავსი ჩანაწერები