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CERN Accelerating science

CERN Document Server 47 Datensätze gefunden  1 - 10nächsteEnde  gehen zum Datensatz: Die Suche hat 0.73 Sekunden gedauert. 
1.
Tests of General Relativity with GWTC-3 / LIGO Scientific Collaboration
The ever-increasing number of detections of gravitational waves (GWs) from compact binaries by the Advanced LIGO and Advanced Virgo detectors allows us to perform ever-more sensitive tests of general relativity (GR) in the dynamical and strong-field regime of gravity. [...]
arXiv:2112.06861 ; LIGO-P2100275.
- 41 p.
Fulltext
2.
Search for Subsolar-Mass Binaries in the First Half of Advanced LIGO’s and Advanced Virgo’s Third Observing Run / LIGO Scientific Collaboration
We report on a search for compact binary coalescences where at least one binary component has a mass between 0.2 $M_\odot$ and 1.0 $M_\odot$ in Advanced LIGO and Advanced Virgo data collected between 1 April 2019 1500 UTC and 1 October 2019 1500 UTC. We extend previous analyses in two main ways: we include data from the Virgo detector and we allow for more unequal mass systems, with mass ratio $q \geq 0.1$. [...]
arXiv:2109.12197; LIGO-P2100163-v8.- 2022-08-05 - 16 p. - Published in : Phys. Rev. Lett. 129 (2022) 061104 Fulltext: PDF;
3.
First joint observation by the underground gravitational-wave detector KAGRA with GEO 600 / KAGRA Collaboration
We report the results of the first joint observation of the KAGRA detector with GEO600. KAGRA is a cryogenic and underground gravitational-wave detector consisting of a laser interferometer with three-kilometer arms, and located in Kamioka, Gifu, Japan. [...]
arXiv:2203.01270; LIGO-P2100286.- 2022-06-14 - 37 p. - Published in : PTEP 2022 (2022) 063F01 Fulltext: 2203.01270 - PDF; document - PDF;
4.
The ATLAS Fast TracKer system / ATLAS Collaboration
The ATLAS Fast TracKer (FTK) was designed to provide full tracking for the ATLAS high-level trigger by using pattern recognition based on Associative Memory (AM) chips and fitting in high-speed field programmable gate arrays. The tracks found by the FTK are based on inputs from all modules of the pixel and silicon microstrip trackers. [...]
arXiv:2101.05078; CERN-EP-2020-232.- Geneva : CERN, 2021 - 64 p. - Published in : JINST 16 (2021) P07006 Fulltext: PDF; Fulltext from publisher: PDF; External link: Previous draft version
5.
Cooling and Timing Tests of the ATLAS Fast TracKer VME Boards / ATLAS Collaboration
The Fast Tracker (FTK) is an ATLAS trigger upgrade built for full event, low-latency, high-rate tracking. [...]
arXiv:2010.14456 ; ATL-DAQ-PROC-2020-020.
- 2021-07-02 - 8.
Original Communication (restricted to ATLAS) - Full text - Fulltext - Fulltext
6.
The associative memory for the self-triggered SLIM5 silicon telescope / Batignani, G (U. Pisa (main) ; INFN, Pisa) ; Bettarini, S (U. Pisa (main) ; INFN, Pisa) ; Calderini, G (U. Pisa (main) ; INFN, Pisa) ; Cenci, R (U. Pisa (main) ; INFN, Pisa) ; Cervelli, A (U. Pisa (main) ; INFN, Pisa) ; Crescioli, F (U. Pisa (main) ; INFN, Pisa) ; Dell'Orso, M (U. Pisa (main) ; INFN, Pisa) ; Forti, F (U. Pisa (main) ; INFN, Pisa) ; Giannetti, P (INFN, Pisa) ; Giorgi, M A (U. Pisa (main) ; INFN, Pisa) et al.
Modern experiments search for extremely rare processes hidden in much larger background levels. As the experiment complexity, the accelerator backgrounds and luminosity increase we need increasingly exclusive selections to efficiently select the rare events inside the huge background. [...]
2009 - 5 p. - Published in : 10.1109/NSSMIC.2008.4774945
In : 2008 IEEE Nuclear Science Symposium, Medical Imaging Conference and 16th Room Temperature Semiconductor Detector Workshop, Dresden, Germany, 19 - 25 Oct 2008, pp.2765-2769
7.
The Associative Memory System Infrastructures for the ATLAS Fast Tracker / Sotiropoulou, C L (Pisa U.) ; Maznas, I (Aristotle U., Thessaloniki) ; Citraro, S (Pisa U.) ; Annovi, A (INFN, Pisa) ; Ancu, L S (Geneva U.) ; Beccherle, R (INFN, Pisa) ; Bertolucci, F (Pisa U.) ; Biesuz, N (Pisa U.) ; Calabrò, D (INFN, Pavia) ; Crescioli, F (Paris U., VI-VII) et al.
The associative memory (AM) system of fast tracker (FTK) processor has been designed for the tracking trigger upgrade to the ATLAS detector at the Conseil Europeen Pour La Recherche Nucleaire large hadron collider. The system performs pattern matching (PM) using the detector hits of particles in the ATLAS silicon tracker. [...]
2017 - 7 p. - Published in : IEEE Trans. Nucl. Sci. 64 (2017) 1248-1254
In : 20th IEEE-NPSS Real Time Conference, Padua, Italy, 5 - 10 Jun 2016, pp.1248-1254
8.
Highly parallelized pattern matching execution for the ATLAS experiment / Annovi, A (INFN, Pisa) ; Bertolucci, F (INFN, Pisa) ; Biesuz, N (Pisa U.) ; Calabro, D (INFN, Pavia) ; Calderini, G (Paris U., VI-VII) ; Citraro, S (Pisa U.) ; Crescioli, F (Paris U., VI-VII) ; Dimas, D (Prisma Electronics SA, Athens) ; Dell'Orso, M (Pisa U.) ; Donati, S (Pisa U.) et al.
The Associative Memory (AM) system of the Fast TracKer (FTK) processor has been designed to perform pattern matching using as input the data from the silicon tracker in the ATLAS experiment. The AM is the primary component of the FTK system and is designed using ASIC technology (the AM chip) to execute pattern matching with a high degree of parallelism. [...]
2016 - 3 p. - Published in : 10.1109/NSSMIC.2015.7581789
In : 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, San Diego, CA, USA, 31 Oct - 7 Nov 2015, pp.7581789
9.
The ATLAS Data Acquisition and High Level Trigger system / Abolins, M (Michigan State U.) ; Abreu, R (CERN) ; Achenbach, R (Kirchhoff Inst. Phys.) ; Aharrouche, M (Mainz U., Inst. Phys.) ; Aielli, G (INFN, Rome ; Rome U., Tor Vergata) ; Al-Shabibi, A (CERN) ; Aleksandrov, I (Dubna, JINR) ; Alexandrov, E (Dubna, JINR) ; Allbrooke, B M (Birmingham U.) ; Aloisio, A (INFN, Naples ; Naples U.) et al. /ATLAS TDAQ
This paper describes the data acquisition and high level trigger system of the ATLAS experiment at the Large Hadron Collider at CERN, as deployed during Run 1. Data flow as well as control, configuration and monitoring aspects are addressed. [...]
2016 - 153 p. - Published in : JINST 11 (2016) P06008 IOP Open Access article: PDF;
10.
The ATLAS fast tracker processor design / Volpi, Guido (INFN, Pisa ; Pisa U.) ; Adelman, Jahred (Yale U.) ; Albicocco, Pietro (Frascati) ; Alison, John (Pennsylvania U.) ; Ancu, Lucian Stefan (Geneva U.) ; Anderson, James (JIVE, Dwingeloo) ; Andari, Nansi (Tours U., CNRS) ; Andreani, Alessandro (INFN, Milan Bicocca ; Milan Bicocca U.) ; Andreazza, Attilio (INFN, Milan ; Milan U.) ; Annovi, Alberto (INFN, Pisa) et al.
The extended use of tracking information at the trigger level in the LHC is crucial for the trigger and data acquisition (TDAQ) system to fulfill its task. Precise and fast tracking is important to identify specific decay products of the Higgs boson or new phenomena, as well as to distinguish the contributions coming from the many collisions that occur at every bunch crossing. [...]
SISSA, 2015 - 10 p. - Published in : PoS VERTEX2015 (2015) 040 Fulltext: PDF; External link: Published version from PoS
In : 24th International Workshop on Vertex Detectors, Santa Fe, NM, USA, 1 - 5 Jun 2015, pp.040

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