Reconstruction of signal amplitudes in the CMS electromagnetic calorimeter in the presence of overlapping proton-proton interactions

The CMS collaboration

doi:10.1088/1748-0221/15/10/P10002

Reconstruction of signal amplitudes in the CMS electromagnetic calorimeter in the presence of overlapping proton-proton interactions

The CMS collaboration

Fizik Mühendisliği Bölümü

Araştırma sonucu: ???type-name??? › Makale › bilirkişi

18 Atıf (Scopus)

Özet

A template fitting technique for reconstructing the amplitude of signals produced by the lead tungstate crystals of the CMS electromagnetic calorimeter is described. This novel approach is designed to suppress the contribution to the signal of the increased number of out-of-time interactions per beam crossing following the reduction of the accelerator bunch spacing from 50 to 25 ns at the start of Run 2 of the LHC. Execution of the algorithm is sufficiently fast for it to be employed in the CMS high-level trigger. It is also used in the offline event reconstruction. Results obtained from simulations and from Run 2 collision data (2015–2018) demonstrate a substantial improvement in the energy resolution of the calorimeter over a range of energies extending from a few GeV to several tens of GeV.

Orijinal dil	İngilizce
Makale numarası	P10002
Dergi	Journal of Instrumentation
Hacim	15
Basın numarası	10
DOI'lar	https://doi.org/10.1088/1748-0221/15/10/P10002
Yayın durumu	Yayınlandı - Eki 2020

Bibliyografik not

Publisher Copyright:
© 2020 CERN for the benefit of the CMS collaboration.

Finansman

We congratulate our colleagues in the CERN accelerator departments for the excellent performance of the LHC and thank the technical and administrative staffs at CERN and at other CMS institutes for their contributions to the success of the CMS effort. In addition, we gratefully acknowledge the computing centers and personnel of the Worldwide LHC Computing Grid for delivering so effectively the computing infrastructure essential to our analyses. Finally, we acknowledge the enduring support for the construction and operation of the LHC and the CMS detector provided by the following funding agencies: BMBWF and FWF (Austria); FNRS and FWO (Belgium); CNPq, CAPES, FAPERJ, FAPERGS, and FAPESP (Brazil); MES (Bulgaria); CERN; CAS, MoST, and NSFC (China); COLCIENCIAS (Colombia); MSES and CSF (Croatia); RIF (Cyprus); SENESCYT (Ecuador); MoER, ERC IUT, PUT and ERDF (Estonia); Academy of Finland, MEC, and HIP (Finland); CEA and CNRS/IN2P3 (France); BMBF, DFG, and HGF (Germany); GSRT (Greece); NKFIA (Hungary); DAE and DST (India); IPM (Iran); SFI (Ireland); INFN (Italy); MSIP and NRF (Republic of Korea); MES (Latvia); LAS (Lithuania); MOE and UM (Malaysia); BUAP, CINVESTAV, CONACYT, LNS, SEP, and UASLP-FAI (Mexico); MOS (Montenegro); MBIE (New Zealand); PAEC (Pakistan); MSHE and NSC (Poland); FCT (Portugal); JINR (Dubna); MON, RosAtom, RAS, RFBR, and NRC KI (Russia); MESTD (Serbia); SEIDI, CPAN, PCTI, and FEDER (Spain); MOSTR (Sri Lanka); Swiss Funding Agencies (Switzerland); MST (Taipei); ThEPCenter, IPST, STAR, and NSTDA (Thailand); TUBITAK and TAEK (Turkey); NASU (Ukraine); STFC (United Kingdom); DOE and NSF (U.S.A.). Individuals have received support from the Marie-Curie program and the European Research Council and Horizon 2020 Grant, contract Nos. 675440, 752730, and 765710 (European Union); the Leventis Foundation; the A.P. Sloan Foundation; the Alexander von Humboldt Foundation; the Belgian Federal Science Policy Office; the Fonds pour la Formation à la Recherche dans l’Industrie et dans l’Agriculture (FRIA-Belgium); the Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium); the F.R.S.-FNRS and FWO (Belgium) under the “Excellence of Science — EOS” — be.h project n. 30820817; the Beijing Municipal Science & Technology Commission, No. Z191100007219010; the Ministry of Education, Youth and Sports (MEYS) of the Czech Republic; the Deutsche Forschungsgemeinschaft (DFG) under Germany’s Excellence Strategy — EXC 2121 “Quantum Universe” — 390833306; the Lendület (“Momentum”) Program and the János Bolyai Research Scholarship of the Hungarian Academy of Sciences, the New National Excellence Program ÚNKP, the NKFIA research grants 123842, 123959, 124845, 124850, 125105, 128713, 128786, and 129058 (Hungary); the Council of Science and Industrial Research, India; the HOMING PLUS program of the Foundation for Polish Science, cofinanced from European Union, Regional Development Fund, the Mobility Plus program of the Ministry of Science and Higher Education, the National Science Center (Poland), contracts Harmonia 2014/14/M/ST2/00428, Opus 2014/13/B/ST2/02543, 2014/15/B/ST2/03998, and 2015/19/B/ST2/02861, Sonata-bis 2012/07/E/ST2/01406; the National Priorities Research Program by Qatar National Research Fund; the Ministry of Science and Higher Education, project no. 02.a03.21.0005 (Russia); the Tomsk Polytechnic University Competitiveness Enhancement Program and “Nauka” Project FSWW-2020-0008 (Russia); the Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia María de Maeztu, grant MDM-2015-0509 and the Programa Severo Ochoa del Principado de Asturias; the Thalis and Aristeia programs cofinanced by EU-ESF and the Greek NSRF; the Rachadapisek Sompot Fund for Postdoctoral Fellowship, Chulalongkorn University and the Chulalongkorn Academic into Its 2nd Century Project Advancement Project (Thailand); the Kavli Foundation; the Nvidia Corporation; the SuperMicro Corporation; the Welch Foundation, contract C-1845; and the Weston Havens Foundation (U.S.A.).

Finansörler	Finansör numarası
CPAN
EU-ESF
Excellence of Science	30820817
MSES
MoER
PCTI
Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia María de Maeztu	MDM-2015-0509
STAR
National Science Foundation
U.S. Department of Energy
Alfred P. Sloan Foundation
Welch Foundation	C-1845
Hispanics in Philanthropy
Kavli Foundation
Maryland Ornithological Society
Alexander von Humboldt-Stiftung
NVIDIA
Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)
Qatar National Research Fund
Ministry of Education and Science
Direktion für Entwicklung und Zusammenarbeit
Secretaría de Educación Pública
Türkiye Atom Enerjisi Kurumu
Horizon 2020 Framework Programme
Weston Havens Foundation
Louisiana Academy of Sciences
CERN
Thailand Center of Excellence in Physics
Tomsk Polytechnic University	FSWW-2020-0008
Cosmetic Surgery Foundation
Institute for the Promotion of Teaching Science and Technology
Ministerstwo Obrony Narodowej
Science and Technology Facilities Council	GRIDPP
European Commission
European Research Council
Department of Science and Technology, Ministry of Science and Technology, India
Council of Scientific and Industrial Research, India
Ministry of Education - Singapore
Department of Atomic Energy, Government of India
Science Foundation Ireland
Helmholtz-Gemeinschaft
Deutsche Forschungsgemeinschaft	390833306
Fundação de Amparo à Pesquisa do Estado de São Paulo
National Natural Science Foundation of China
Ministerstvo Školství, Mládeže a Tělovýchovy
National Science Council
Fundacja na rzecz Nauki Polskiej
Fundação para a Ciência e a Tecnologia
Russian Foundation for Basic Research
Eesti Teadusagentuur
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Academy of Finland
Bundesministerium für Bildung und Forschung
Chinese Academy of Sciences
Austrian Science Fund
Fonds De La Recherche Scientifique - FNRS
Russian Academy of Sciences
Belgian Federal Science Policy Office
Chulalongkorn University
Federación Española de Enfermedades Raras
Fonds Wetenschappelijk Onderzoek
Agentschap voor Innovatie door Wetenschap en Technologie
Fonds pour la Formation à la Recherche dans l’Industrie et dans l’Agriculture
Consejo Nacional de Ciencia y Tecnología
Ministerio de Educación, Cultura y Deporte
General Secretariat for Research and Technology
Ministry of Business, Innovation and Employment
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Ministry of Science, ICT and Future Planning
National Research Foundation of Korea
Joint Institute for Nuclear Research
Magyar Tudományos Akadémia	124845, 123842, 129058, 125105, 124850, 128786, 128713, 123959
Instituto Nazionale di Fisica Nucleare
A.G. Leventis Foundation
National Science and Technology Development Agency	Thailand
Politechnika Poznańska
Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul
Narodowe Centrum Nauki	2014/15/B/ST2/03998, 2012/07/E/ST2/01406, 2015/19/B/ST2/02861, 2014/14/M/ST2/00428, 2014/13/B/ST2/02543
Secretaría de Educación Superior, Ciencia, Tecnología e Innovación
Universiti Malaya
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu
Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja
Ministerstwo Edukacji i Nauki
Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro
Ministry of Science and Technology, Taiwan
National Academy of Sciences of Ukraine
Centre National de la Recherche Scientifique
Universidad Autónoma de San Luis Potosí
Ministry of Education and Science
Institute for Research in Fundamental Sciences
Benemérita Universidad Autónoma de Puebla
Commissariat à l'Énergie Atomique et aux Énergies Alternatives
Secretaría de Estado de Investigación, Desarrollo e Innovación
Horizon 2020	675440, 752730, 765710
European Regional Development Fund
State Atomic Energy Corporation ROSATOM
Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional
Pakistan Atomic Energy Commission
Ministry of Science,Technology and Research
Beijing Municipal Science and Technology Commission	Z191100007219010
Bundesministerium für Bildung, Wissenschaft, Forschung und Technologie
Institut National de Physique Nucléaire et de Physique des Particules
Nemzeti Kutatási, Fejlesztési és Innovaciós Alap
National Research Center "Kurchatov Institute"
Laboratorio Nacional de Supercómputo del Sureste de Mexico

Belgeye Erişim

10.1088/1748-0221/15/10/P10002

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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title = "Reconstruction of signal amplitudes in the CMS electromagnetic calorimeter in the presence of overlapping proton-proton interactions",

abstract = "A template fitting technique for reconstructing the amplitude of signals produced by the lead tungstate crystals of the CMS electromagnetic calorimeter is described. This novel approach is designed to suppress the contribution to the signal of the increased number of out-of-time interactions per beam crossing following the reduction of the accelerator bunch spacing from 50 to 25 ns at the start of Run 2 of the LHC. Execution of the algorithm is sufficiently fast for it to be employed in the CMS high-level trigger. It is also used in the offline event reconstruction. Results obtained from simulations and from Run 2 collision data (2015–2018) demonstrate a substantial improvement in the energy resolution of the calorimeter over a range of energies extending from a few GeV to several tens of GeV.",

keywords = "Calibration, Cluster finding, Fitting methods, Large detector-systems performance, Pattern recognition",

author = "{The CMS collaboration} and Sirunyan, {A. M.} and A. Tumasyan and W. Adam and F. Ambrogi and T. Bergauer and M. Dragicevic and J. Er{\"o} and {Escalante Del Valle}, A. and R. Fr{\"u}hwirth and M. Jeitler and N. Krammer and L. Lechner and D. Liko and T. Madlener and I. Mikulec and Pitters, {F. M.} and N. Rad and J. Schieck and R. Sch{\"o}fbeck and M. Spanring and S. Templ and W. Waltenberger and Wulz, {C. E.} and M. Zarucki and V. Chekhovsky and A. Litomin and V. Makarenko and {Suarez Gonzalez}, J. and Darwish, {M. R.} and {De Wolf}, {E. A.} and {Di Croce}, D. and X. Janssen and T. Kello and A. Lelek and M. Pieters and {Rejeb Sfar}, H. and {Van Haevermaet}, H. and {Van Mechelen}, P. and {Van Putte}, S. and {Van Remortel}, N. and F. Blekman and Bols, {E. S.} and Chhibra, {S. S.} and J. D'Hondt and {De Clercq}, J. and D. Lontkovskyi and S. Lowette and I. Marchesini and S. Moortgat and A. Cakir",

note = "Publisher Copyright: {\textcopyright} 2020 CERN for the benefit of the CMS collaboration.",

year = "2020",

month = oct,

doi = "10.1088/1748-0221/15/10/P10002",

language = "English",

volume = "15",

journal = "Journal of Instrumentation",

issn = "1748-0221",

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T1 - Reconstruction of signal amplitudes in the CMS electromagnetic calorimeter in the presence of overlapping proton-proton interactions

AU - The CMS collaboration

AU - Sirunyan, A. M.

AU - Tumasyan, A.

AU - Adam, W.

AU - Ambrogi, F.

AU - Bergauer, T.

AU - Dragicevic, M.

AU - Erö, J.

AU - Escalante Del Valle, A.

AU - Frühwirth, R.

AU - Jeitler, M.

AU - Krammer, N.

AU - Lechner, L.

AU - Liko, D.

AU - Madlener, T.

AU - Mikulec, I.

AU - Pitters, F. M.

AU - Rad, N.

AU - Schieck, J.

AU - Schöfbeck, R.

AU - Spanring, M.

AU - Templ, S.

AU - Waltenberger, W.

AU - Wulz, C. E.

AU - Zarucki, M.

AU - Chekhovsky, V.

AU - Litomin, A.

AU - Makarenko, V.

AU - Suarez Gonzalez, J.

AU - Darwish, M. R.

AU - De Wolf, E. A.

AU - Di Croce, D.

AU - Janssen, X.

AU - Kello, T.

AU - Lelek, A.

AU - Pieters, M.

AU - Rejeb Sfar, H.

AU - Van Haevermaet, H.

AU - Van Mechelen, P.

AU - Van Putte, S.

AU - Van Remortel, N.

AU - Blekman, F.

AU - Bols, E. S.

AU - Chhibra, S. S.

AU - D'Hondt, J.

AU - De Clercq, J.

AU - Lontkovskyi, D.

AU - Lowette, S.

AU - Marchesini, I.

AU - Moortgat, S.

AU - Cakir, A.

PY - 2020/10

Y1 - 2020/10

N2 - A template fitting technique for reconstructing the amplitude of signals produced by the lead tungstate crystals of the CMS electromagnetic calorimeter is described. This novel approach is designed to suppress the contribution to the signal of the increased number of out-of-time interactions per beam crossing following the reduction of the accelerator bunch spacing from 50 to 25 ns at the start of Run 2 of the LHC. Execution of the algorithm is sufficiently fast for it to be employed in the CMS high-level trigger. It is also used in the offline event reconstruction. Results obtained from simulations and from Run 2 collision data (2015–2018) demonstrate a substantial improvement in the energy resolution of the calorimeter over a range of energies extending from a few GeV to several tens of GeV.

AB - A template fitting technique for reconstructing the amplitude of signals produced by the lead tungstate crystals of the CMS electromagnetic calorimeter is described. This novel approach is designed to suppress the contribution to the signal of the increased number of out-of-time interactions per beam crossing following the reduction of the accelerator bunch spacing from 50 to 25 ns at the start of Run 2 of the LHC. Execution of the algorithm is sufficiently fast for it to be employed in the CMS high-level trigger. It is also used in the offline event reconstruction. Results obtained from simulations and from Run 2 collision data (2015–2018) demonstrate a substantial improvement in the energy resolution of the calorimeter over a range of energies extending from a few GeV to several tens of GeV.

KW - Calibration

KW - Cluster finding

KW - Fitting methods

KW - Large detector-systems performance

KW - Pattern recognition

UR - http://www.scopus.com/inward/record.url?scp=85096494444&partnerID=8YFLogxK

U2 - 10.1088/1748-0221/15/10/P10002

DO - 10.1088/1748-0221/15/10/P10002

M3 - Article

AN - SCOPUS:85096494444

SN - 1748-0221

VL - 15

JO - Journal of Instrumentation

JF - Journal of Instrumentation

IS - 10

M1 - P10002

ER -

Reconstruction of signal amplitudes in the CMS electromagnetic calorimeter in the presence of overlapping proton-proton interactions

Özet

Bibliyografik not

Finansman

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

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