An embedding technique to determine ττ backgrounds in proton-proton collision data

CMS Collaboration

doi:10.1088/1748-0221/14/06/P06032

An embedding technique to determine ττ backgrounds in proton-proton collision data

CMS Collaboration

Fizik Mühendisliği Bölümü

A. Alikhanian Yerevan Institute of Physics
Austrian Academy of Sciences
TU Wien
Belarusian State University
University of Antwerp
Vrije Universiteit Brussel
Université libre de Bruxelles
Lomonosov Moscow State University
Ghent University
Université Paris-Saclay
Université catholique de Louvain
Centro Brasileiro de Pesquisas Físicas
Universidade do Estado do Rio de Janeiro
University of Chinese Academy of Sciences
Universidade Federal do Rio Grande do Sul
Universidade Estadual de Campinas
Universidade Estadual Paulista Júlio de Mesquita Filho
Universidade Federal do ABC
Bulgarian Academy of Sciences
Sofia University St. Kliment Ohridski
Beihang University
CAS - Institute of High Energy Physics
The British University in Egypt
Peking University
Tsinghua University
Universidad de los Andes Colombia
University of Split
Ruder Boskovic Institute
Alikhanov Institute for Theoretical and Experimental Physics
University of Cyprus
Charles University
Joint Institute for Nuclear Research
Escuela Politécnica Nacional
Universidad San Francisco de Quito
Academy of Scientific Research and Technology
Cairo University
Institute for Nuclear Research
Al-Fayoum University
Ain Shams University
National Institute of Chemical Physics and Biophysics, Tallinn
University of Helsinki
Helsinki Institute of Physics
Lappeenranta-Lahti University of Technology
King Abdulaziz University
Université de Strasbourg
Université de Haute-Alsace
CNRS/IN2P3
Universite Claude Bernard Lyon 1
Georgian Technical University
Ivane Javakhishvili Tbilisi State University
RWTH Aachen University
CERN
German Electron Synchrotron
University of Hamburg
Brandenburg University of Technology
Karlsruhe Institute of Technology
Demokritos National Centre for Scientific Research
National and Kapodistrian University of Athens
National Technical University of Athens
University of Ioannina
Eotvos Lorand University
University of Debrecen
Wigner Research Centre for Physics
University of Siena
Indian Institute of Science Bangalore
National Institute of Science Education and Research
Indian Institute of Technology Bhubaneswar
Institute of Physics Bhubaneswar
Panjab University
University of Delhi
Saha Institute of Nuclear Physics
Shoolini University of Biotechnology and Management Sciences
Consejo Nacional de Ciencia y Tecnologia Mexico
Indian Institute of Technology Madras
Homi Bhabha National Institute
Tata Institute of Fundamental Research
Indian Institute of Science Education and Research Pune
Institute for Research for Fundamental Sciences
Isfahan University of Technology
Islamic Azad University
University College Dublin
National Institute for Nuclear Physics
University of Bari
Polytechnic University of Bari
University of Bologna
Agenzia nazionale per le nuove tecnologie, l'energia e lo sviluppo economico sostenibile
University of Catania
CSFNSM
University of Florence
University of Belgrade
University of Genoa
University of Milan - Bicocca
University of Basilicata
University of Naples Federico II
Università G. Marconi
Visva-Bharati University
University of Padua
University of Trento
University of Pavia
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University of Pisa
Scuola Normale Superiore di Pisa
University of Rome La Sapienza
University of Turin
University of Eastern Piedmont
University of Trieste
Kyungpook National University
Chonnam National University
Hanyang University
Kyung Hee University
Korea University
Sejong University
Seoul National University
University of Seoul
Sungkyunkwan University
Riga Technical University
Vilnius University
University of Malaya
International Islamic University Malaysia
Malaysian Nuclear Agency
Universidad de Sonora
Centro de Investigacion y de Estudios Avanzados del Instituto Politécnico Nacional
Mersin University
Universidad Iberoamericana (UIA)
Benemerita Universidad Autonoma de Puebla
Universidad Autonoma de San Luis Potosi
The University of Auckland
University of Canterbury
Quaid-I-Azam University
National Centre for Nuclear Research
University of Warsaw
Warsaw University of Technology
Laboratório de Instrumentação e Física Experimental de Partículas
RAS - Institute for Nuclear Research
Moscow Engineering Physics Institute
RAS - Saint Petersburg Nuclear Physics Institute
Peter the Great St. Petersburg Polytechnic University
University of Florida
Moscow Institute of Physics and Technology
RAS - P.N. Lebedev Physics Institute
California Institute of Technology
Novosibirsk State University
RAS - Budker Institute of Nuclear Physics
Institute for High Energy Physics
Tomsk Polytechnic University
University of Southampton
CIEMAT
Universidad Autónoma de Madrid
University of Oviedo
Universidad de Cantabria
University of Ruhuna
Paul Scherrer Institute
University of Zurich
Swiss Federal Institute of Technology Zurich
National Central University
National Taiwan University
University of California at San Diego
Chulalongkorn University
Cukurova University
Gaziosmanpasa University
Beykent University
Istanbul Aydin University
University of Hyderabad
Piri Reis University
Adiyaman University
Middle East Technical University
Ozyegin University
Izmir Institute of Technology
Bogazici University
Marmara University
Kafkas University
Istanbul University
Istanbul Bilgi University
Istanbul Technical University
Hacettepe University
NASU - Institute for Single Crystals
NASU - Kharkov Institute of Physics and Technology
University of Bristol
Rutherford Appleton Laboratory
Imperial College London
Monash University
Brunel University London
Baylor University
Catholic University of America
University of Alabama
Boston University
Brown University
Bethel University
Karamanoglu Mehmetbey University
University of California at Davis
University of California at Los Angeles
University of California at Riverside
University of California at Santa Barbara
Carnegie Mellon University
University of Colorado Boulder
Cornell University
Fermi National Accelerator Laboratory
Purdue University
Florida International University
Florida State University
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University of Iowa
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Wayne State University
University of Wisconsin-Madison

Araştırma sonucu: Dergiye katkı › Makale › bilirkişi

15 Atıf (Scopus)

Özet

An embedding technique is presented to estimate standard model it backgrounds from data with minimal simulation input. In the data, the muons are removed from reconstructed nn events and replaced with simulated tau leptons with the same kinematic properties. In this way, a set of hybrid events is obtained that does not rely on simulation except for the decay of the tau leptons. The challenges in describing the underlying event or the production of associated jets in the simulation are avoided. The technique described in this paper was developed for CMS. Its validation and the inherent uncertainties are also discussed. The demonstration of the performance of the technique is based on a sample of proton-proton collisions collected by CMS in 2017 at √s = 13 TeV corresponding to an integrated luminosity o 41.5 fb^-1.

Orijinal dil	İngilizce
Makale numarası	P06032
Dergi	Journal of Instrumentation
Hacim	14
Basın numarası	6
DOI'lar	https://doi.org/10.1088/1748-0221/14/06/P06032
Yayın durumu	Yayınlandı - 21 Haz 2019

Bibliyografik not

Publisher Copyright:
© 2019 CERN for the benefit of the CMS collaboration. Published by IOP Publishing Ltd on behalf of Sissa Medialab. Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence.

Finansman

We thank CERN for the very successful operation of the LHC, as well as the support staff from our institutions without whom ATLAS could not be operated efficiently. We acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; CONICYT, Chile; CAS, MOST and NSFC, China; COLCIENCIAS, Colombia; MSMT CR, MPO CR and VSC CR, Czech Republic; DNRF and DNSRC, Denmark; IN2P3-CNRS, CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, HGF, and MPG, Germany; GSRT, Greece; RGC, Hong Kong SAR, China; ISF and Benoziyo Center, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MNiSW and NCN, Poland; FCT, Portugal; MNE/IFA, Romania; MES of Russia and NRC KI, Russian Federation; JINR; MESTD, Serbia; MSSR, Slovakia; ARRS and MIZŠ, Slovenia; DST/NRF, South Africa; MINECO, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF and Cantons of Bern and Geneva, Switzerland; MOST, Taiwan; TAEK, Turkey; STFC, United Kingdom; DOE and NSF, United States of America. In addition, individual groups and members have received support from BCKDF, CANARIE, CRC and Compute Canada, Canada; COST, ERC, ERDF, Horizon 2020, and Marie Skłodowska-Curie Actions, European Union; Investissements d'Avenir Labex and Idex, ANR, France; DFG and AvH Foundation, Germany; Herakleitos, Thales and Aristeia programmes co-financed by EU-ESF and the Greek NSRF, Greece; BSF-NSF and GIF, Israel; CERCA Programme Generalitat de Catalunya, Spain; The Royal Society and Leverhulme Trust, United Kingdom. The crucial computing support from all WLCG partners is acknowledged gratefully, in particular from CERN, theATLAS Tier-1 facilities at TRIUMF (Canada), NDGF (Denmark, Norway, Sweden), CC-IN2P3 (France), KIT/GridKA (Germany), INFN-CNAF(Italy), NL-T1 (Netherlands), PIC (Spain), ASGC (Taiwan), RAL (U.K.) and BNL (U.S.A.), the Tier-2 facilities worldwide and large non-WLCG resource providers. Major contributors of computing resources are listed in ref. [62].

Finansörler	Finansör numarası
ASGC (Taiwan)
BSF-NSF
CEA-DRF
Cantons of Bern and Geneva
Czech Republic
DNSRC	IN2P3-CNRS
EU-ESF
GridKA
INFN-CNAF
IRFU
MES of Russia
MIZŠ
MNE
NDGF	CC-IN2P3
RGC
VSC CR
Wallenberg Foundation
National Science Foundation
U.S. Department of Energy
Alexander von Humboldt-Stiftung
Brookhaven National Laboratory
Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)
Karlsruhe Institute of Technology
Horizon 2020 Framework Programme	675440
H2020 Marie Skłodowska-Curie Actions
Multiple Sclerosis Scientific Research Foundation
CERN
Azərbaycan Milli Elmlər Akademiyası
Natural Sciences and Engineering Research Council of Canada
National Research Council Canada
Canada Foundation for Innovation
Science and Technology Facilities Council
Leverhulme Trust
Royal Society
European Research Council
European Cooperation in Science and Technology
Australian Research Council
Department of Science and Technology, Ministry of Science and Technology, India
Helmholtz-Gemeinschaft
Deutsche Forschungsgemeinschaft
Agence Nationale de la Recherche
Japan Society for the Promotion of Science
Ministry of Education, Culture, Sports, Science and Technology
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Danmarks Grundforskningsfond
German-Israeli Foundation for Scientific Research and Development
Fundação de Amparo à Pesquisa do Estado de São Paulo
National Natural Science Foundation of China
Ministerstvo Školství, Mládeže a Tělovýchovy
Fundação para a Ciência e a Tecnologia
Bundesministerium für Bildung und Forschung
Chinese Academy of Sciences
Austrian Science Fund
Generalitat de Catalunya
Agencia Nacional de Investigación y Desarrollo
Agencia Nacional de Promoción Científica y Tecnológica
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Ministerio de Economía y Competitividad
Bundesministerium für Wissenschaft, Forschung und Wirtschaft
General Secretariat for Research and Technology
Conselho Nacional de Desenvolvimento Científico e Tecnológico
National Research Foundation of Korea
Joint Institute for Nuclear Research
Nella and Leon Benoziyo Center for Neurological Diseases, Weizmann Institute of Science
Israel Science Foundation
Instituto Nazionale di Fisica Nucleare
Narodowe Centrum Nauki
Javna Agencija za Raziskovalno Dejavnost RS
Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja
Ministerstwo Edukacji i Nauki
Ministry of Science and Technology, Taiwan
Centre National pour la Recherche Scientifique et Technique
Staatssekretariat für Bildung, Forschung und Innovation
British Columbia Knowledge Development Fund
European Regional Development Fund
Council on grants of the President of the Russian Federation
National Research Center "Kurchatov Institute"
Institutul de Fizică Atomică

Belgeye Erişim

10.1088/1748-0221/14/06/P06032

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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abstract = "An embedding technique is presented to estimate standard model it backgrounds from data with minimal simulation input. In the data, the muons are removed from reconstructed nn events and replaced with simulated tau leptons with the same kinematic properties. In this way, a set of hybrid events is obtained that does not rely on simulation except for the decay of the tau leptons. The challenges in describing the underlying event or the production of associated jets in the simulation are avoided. The technique described in this paper was developed for CMS. Its validation and the inherent uncertainties are also discussed. The demonstration of the performance of the technique is based on a sample of proton-proton collisions collected by CMS in 2017 at √s = 13 TeV corresponding to an integrated luminosity o 41.5 fb-1.",

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AU - Asilar, E.

AU - Bergauer, T.

AU - Brandstetter, J.

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AU - Liko, D.

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AU - Schieck, J.

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N1 - Publisher Copyright: © 2019 CERN for the benefit of the CMS collaboration. Published by IOP Publishing Ltd on behalf of Sissa Medialab. Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence.

PY - 2019/6/21

Y1 - 2019/6/21

N2 - An embedding technique is presented to estimate standard model it backgrounds from data with minimal simulation input. In the data, the muons are removed from reconstructed nn events and replaced with simulated tau leptons with the same kinematic properties. In this way, a set of hybrid events is obtained that does not rely on simulation except for the decay of the tau leptons. The challenges in describing the underlying event or the production of associated jets in the simulation are avoided. The technique described in this paper was developed for CMS. Its validation and the inherent uncertainties are also discussed. The demonstration of the performance of the technique is based on a sample of proton-proton collisions collected by CMS in 2017 at √s = 13 TeV corresponding to an integrated luminosity o 41.5 fb-1.

AB - An embedding technique is presented to estimate standard model it backgrounds from data with minimal simulation input. In the data, the muons are removed from reconstructed nn events and replaced with simulated tau leptons with the same kinematic properties. In this way, a set of hybrid events is obtained that does not rely on simulation except for the decay of the tau leptons. The challenges in describing the underlying event or the production of associated jets in the simulation are avoided. The technique described in this paper was developed for CMS. Its validation and the inherent uncertainties are also discussed. The demonstration of the performance of the technique is based on a sample of proton-proton collisions collected by CMS in 2017 at √s = 13 TeV corresponding to an integrated luminosity o 41.5 fb-1.

KW - Pattern recognition, cluster finding, calibration and fitting methods

KW - Performance of high energy physics detectors

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DO - 10.1088/1748-0221/14/06/P06032

M3 - Article

AN - SCOPUS:85069663308

SN - 1748-0221

VL - 14

JO - Journal of Instrumentation

JF - Journal of Instrumentation

IS - 6

M1 - P06032

ER -

An embedding technique to determine ττ backgrounds in proton-proton collision data

Özet

Bibliyografik not

Finansman

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

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