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CERN Document Server 558 records found  1 - 10nextend  jump to record: Search took 0.69 seconds. 
1.
Charged Particle Tracking in Real Time using Full-Mesh Data Delivery Architecture and Associative Memory Techniques / Ajuha, Sudha (Sao Paulo State U.) ; Shinoda, Ailton Akira (Sao Paulo State U.) ; Ramalho, Lucas Arruda (Sao Paulo State U.) ; Baulieu, Guillaume (IP2I, Lyon) ; Boudoul, Gaelle (IP2I, Lyon) ; Casarsa, Massimo (INFN, Trieste) ; Cascadan, Andre (Sao Paulo State U.) ; Clement, Emyr (Bristol U.) ; de Paiva, Thiago Costa (Sao Paulo State U.) ; Das, Souvik (Florida U.) et al.
We present a flexible and scalable approach to address the challenges of charged particle track reconstruction in real-time event filters (Level-1 triggers) in collider physics experiments. The method described here is based on a full-mesh architecture for data distribution and relies on the Associative Memory approach to implement a pattern recognition algorithm that quickly identifies and organizes hits associated to trajectories of particles originating from particle collisions. [...]
arXiv:2210.02489; FERMILAB-PUB-22-776-PPD; CERN-CMS-NOTE-2022-011; CERN-CMS-NOTE-2022-011.- Geneva : CERN, 2022-12-05 - 33 p. - Published in : JINST 17 (2022) P12002 Fulltext: NOTE2022_011 - PDF; 2210.02489 - PDF; 628d29ac594cad21c9fdf690e3f3fc02 - PDF; Fulltext from Publisher: PDF; Fulltext from publisher: HTM; External link: Fermilab Library Server
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2.
Review of opportunities for new long-lived particle triggers in Run 3 of the Large Hadron Collider / Alimena, Juliette (ed.) (CERN) ; Beacham, James (ed.) (Duke U. (main)) ; Blekman, Freya (ed.) (DESY) ; Vidal, Adrián Casais (ed.) (Santiago de Compostela U., IGFAE) ; Vidal, Xabier Cid (ed.) (Santiago de Compostela U., IGFAE) ; Citron, Matthew (ed.) (UC, Santa Barbara (main)) ; Curtin, David (ed.) (U. Toronto (main)) ; De Roeck, Albert (ed.) (CERN) ; Desai, Nishita (ed.) (Tata Inst.) ; Di Petrillo, Karri Folan (ed.) (Fermilab) et al.
Long-lived particles (LLPs) are highly motivated signals of physics Beyond the Standard Model (BSM) with great discovery potential and unique experimental challenges. [...]
arXiv:2110.14675 ; CERN-LPCC-2021-01. - 43.
Fermilab Library Server - Fulltext - Fulltext
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3.
Performance of the CMS muon trigger system in proton-proton collisions at $\sqrt{s} = $ 13 TeV / CMS Collaboration
The muon trigger system of the CMS experiment uses a combination of hardware and software to identify events containing a muon. During Run 2 (covering 2015-2018) the LHC achieved instantaneous luminosities as high as 2 $\times $ 10$^{34}$ cm$^{-2}$s$^{-1}$ while delivering proton-proton collisions at $\sqrt{s} = $ 13 TeV. [...]
arXiv:2102.04790; CMS-MUO-19-001; CERN-EP-2021-013; CMS-MUO-19-001-003.- Geneva : CERN, 2021 - 52 p. - Published in : JINST 16 (2021) P07001 Fulltext: 2102.04790 - PDF; CMS-MUO-19-001-arXiv - PDF; Fulltext from Publisher: PDF; External links: Additional information for the analysis; CMS AuthorList
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4.
Performance of the CMS Level-1 trigger in proton-proton collisions at $\sqrt{s} = $ 13 TeV / CMS Collaboration
At the start of Run 2 in 2015, the LHC delivered proton-proton collisions at a center-of-mass energy of 13 TeV. During Run 2 (years 2015-2018) the LHC eventually reached a luminosity of 2.1 $\times $ 10$^{34} $ cm$^{-2}$s$^{-1}$, almost three times that reached during Run 1 (2009-2013) and a factor of two larger than the LHC design value, leading to events with up to a mean of about 50 simultaneous inelastic proton-proton collisions per bunch crossing (pileup). [...]
arXiv:2006.10165; CMS-TRG-17-001; CERN-EP-2020-065; CMS-TRG-17-001-003.- Geneva : CERN, 2020-10-19 - 63 p. - Published in : JINST 15 (2020) P10017 Fulltext: CMS-TRG-17-001-arXiv - PDF; 2006.10165 - PDF; Fulltext from Publisher: PDF; Fulltext from publisher: PDF; External links: Additional information for the analysis; CMS AuthorList
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5.
New Technologies for Discovery / Ahmed, Z. (SLAC) ; Apresyan, A. (Fermilab) ; Artuso, M. (Syracuse U. (main)) ; Barry, P. (Argonne) ; Bielejec, E. (Sandia) ; Blaszczyk, F. (Boston U.) ; Bose, T. (Wisconsin U., Madison) ; Braga, D. (Fermilab) ; Charlebois, S.A. (Sherbrooke U.) ; Chatterjee, A. (Texas U., Arlington (main)) et al.
For the field of high energy physics to continue to have a bright future, priority within the field must be given to investments in the development of both evolutionary and transformational detector development that is coordinated across the national laboratories and with the university community, international partners and other disciplines. [...]
arXiv:1908.00194 ; FERMILAB-CONF-19-487-DI-ND-PPD-SCD. - 2019 - 101.
Fermilab Library Server (fulltext available) - Fulltext - Fulltext
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6.
A Full Mesh ATCA-based General Purpose Data Processing Board (Pulsar II) / Ajuha, S (Sao Paulo State U.) ; Cascadan, Andre (Sao Paulo State U.) ; Costa de Paiva, Thiago (Sao Paulo State U.) ; Das, Souvik (U. Florida, Gainesville (main)) ; Eusebi, Ricardo (Texas A-M) ; Finotti Ferreira, Vitor (Sao Paulo State U.) ; Hahn, Kristian (Northwestern U.) ; Hu, Zhen (Fermilab) ; Jindariani, Sergo (Fermilab) ; Konigsberg, Jacobo (Florida U.) et al.
The Pulsar II is a custom ATCA full mesh enabled FPGA-based processor board which has been designed with the goal of creating a scalable architecture abundant in flexible, non-blocking, high bandwidth interconnections. [...]
FERMILAB-TM-2650-E. - 2017. - 36 p.
FERMILABTM - Fulltext
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7.
Boosted Decision Trees in the Level-1 Muon Endcap Trigger at CMS / CMS Collaboration
The first implementation of a Machine Learning Algorithm inside a Level-1 trigger system at the LHC is presented. The Endcap Muon Track Finder (EMTF) at CMS uses Boosted Decision Trees (BDTs) to infer the momentum of muons in the forward region of the detector, based on 25 different variables [...]
CMS-CR-2017-357.- Geneva : CERN, 2017 - 6 p. - Published in : J. Phys.: Conf. Ser. 1085 (2018) 042042 Fulltext: PDF; External link: Fulltext
In : 18th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Seattle, WA, USA, 21 - 25 Aug 2017, pp.042042
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8.
Boosted decision trees in the CMS Level-1 endcap muon trigger / CMS Collaboration
The first implementation of Boosted Decision Trees (BDTs) inside a Level-1 trigger system at the LHC is presented. The Endcap Muon Track Finder (EMTF) at CMS uses BDTs to infer the momentum of muons in the forward region of the detector, based on 25 different variables. [...]
CMS-CR-2017-361.- Geneva : CERN, 2017 - 5 p. - Published in : PoS TWEPP-17 (2017) 143 Fulltext: PDF; External link: PoS Server
In : Topical Workshop on Electronics for Particle Physics, Santa Cruz, Ca, United States Of America, 11 - 15 Sep 2017, pp.143
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9.
Study of dijet events with a large rapidity gap between the two leading jets in pp collisions at $\sqrt{s}$ = 7 TeV / CMS Collaboration
Events with no charged particles produced between the two leading jets are studied in proton-proton collisions at $\sqrt{s}$ = 7 TeV. The jets were required to have transverse momentum $p_\mathrm{T}^{\text{jet}}$ > 40 GeV and pseudorapidity 1.5 $<|\eta^{\text{jet}}| <$ 4.7, and to have values of $\eta^{\text{jet}}$ with opposite signs. [...]
arXiv:1710.02586; CMS-FSQ-12-001; CERN-EP-2017-141; CMS-FSQ-12-001-003.- Geneva : CERN, 2018-03-21 - 27 p. Article from SCOAP3: PDF; Fulltext: PDF; External links: Additional information for the analysis; CMS AuthorList
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10.
Search for vector-like light-flavor quark partners in proton-proton collisions at $\sqrt{s} = $8 TeV / CMS Collaboration
A search is presented for heavy vector-like quarks (VLQs) that couple only to light quarks in proton-proton collisions at $\sqrt{s} =$ 8 TeV at the LHC. The data were collected by the CMS experiment during 2012 and correspond to an integrated luminosity of 19.7 fb$^{-1}$. [...]
arXiv:1708.02510; CMS-B2G-12-016; CERN-EP-2017-145; CMS-B2G-12-016-003.- Geneva : CERN, 2018-04-11 - 68 p. Article from SCOAP3: PDF; Fulltext: PDF; Fulltext from Publisher: PDF; External links: Additional information for the analysis; CMS AuthorList
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CERN Document Server : 558 records found   1 - 10nextend  jump to record:
See also: similar author names
1 Low, J R
2 Low, J.F.
1 Low, James Richard
557 Low, Jia Fu
1 Low, Jyue Tyan
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