Measurement of the jet mass in high transverse momentum Z(→bb‾)γ production at √s = 13TeV using the ATLAS detector

The ATLAS Collaboration

doi:10.1016/j.physletb.2020.135991

Measurement of the jet mass in high transverse momentum Z(→bb‾)γ production at √s = 13TeV using the ATLAS detector

The ATLAS Collaboration

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Abstract

The integrated fiducial cross-section and unfolded differential jet mass spectrum of high transverse momentum Z→bb‾ decays are measured in Zγ events in proton–proton collisions at √s = 13TeV. The data analysed were collected between 2015 and 2016 with the ATLAS detector at the Large Hadron Collider and correspond to an integrated luminosity of 36.1 fb⁻¹. Photons are required to have a transverse momentum p_T> 175GeV. The Z→bb‾ decay is reconstructed using a jet with p_T > 200GeV, found with the anti-k_t R = 1.0 jet algorithm, and groomed to remove soft and wide-angle radiation and to mitigate contributions from the underlying event and additional proton–proton collisions. Two different but related measurements are performed using two jet grooming definitions for reconstructing the Z→bb‾ decay: trimming and soft drop. These algorithms differ in their experimental and phenomenological implications regarding jet mass reconstruction and theoretical precision. To identify Z bosons, b-tagged R = 0.2 track-jets matched to the groomed large-R calorimeter jet are used as a proxy for the b-quarks. The signal yield is determined from fits of the data-driven background templates to the different jet mass distributions for the two grooming methods. Integrated fiducial cross-sections and unfolded jet mass spectra for each grooming method are compared with leading-order theoretical predictions. The results are found to be in good agreement with Standard Model expectations within the current statistical and systematic uncertainties.

Original language	English
Article number	135991
Pages (from-to)	1-23
Number of pages	23
Journal	Physics Letters B
Volume	812
DOIs	https://doi.org/10.1016/j.physletb.2020.135991
Publication status	Published - 10 Jan 2021
Externally published	Yes

Bibliographical note

Copyright the Author(s) 2020. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

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10.1016/j.physletb.2020.135991Licence: CC BY

Publisher version (open access)Final published version, 1.47 MBLicence: CC BY

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@article{9524f87987cd4770b86dc32362d8f21a,

title = "Measurement of the jet mass in high transverse momentum Z(→bb‾)γ production at √s = 13TeV using the ATLAS detector",

abstract = "The integrated fiducial cross-section and unfolded differential jet mass spectrum of high transverse momentum Z→bb‾ decays are measured in Zγ events in proton–proton collisions at √s = 13TeV. The data analysed were collected between 2015 and 2016 with the ATLAS detector at the Large Hadron Collider and correspond to an integrated luminosity of 36.1 fb−1. Photons are required to have a transverse momentum pT > 175GeV. The Z→bb‾ decay is reconstructed using a jet with pT > 200GeV, found with the anti-kt R = 1.0 jet algorithm, and groomed to remove soft and wide-angle radiation and to mitigate contributions from the underlying event and additional proton–proton collisions. Two different but related measurements are performed using two jet grooming definitions for reconstructing the Z→bb‾ decay: trimming and soft drop. These algorithms differ in their experimental and phenomenological implications regarding jet mass reconstruction and theoretical precision. To identify Z bosons, b-tagged R = 0.2 track-jets matched to the groomed large-R calorimeter jet are used as a proxy for the b-quarks. The signal yield is determined from fits of the data-driven background templates to the different jet mass distributions for the two grooming methods. Integrated fiducial cross-sections and unfolded jet mass spectra for each grooming method are compared with leading-order theoretical predictions. The results are found to be in good agreement with Standard Model expectations within the current statistical and systematic uncertainties.",

author = "\{The ATLAS Collaboration\} and G. Aad and B. Abbott and Abbott, \{D. C.\} and O. Abdinov and \{Abed Abud\}, A. and K. Abeling and Abhayasinghe, \{D. K.\} and Abidi, \{S. H.\} and AbouZeid, \{O. S.\} and Abraham, \{N. L.\} and H. Abramowicz and H. Abreu and Y. Abulaiti and Acharya, \{B. S.\} and B. Achkar and S. Adachi and L. Adam and \{Adam Bourdarios\}, C. and L. Adamczyk and L. Adamek and J. Adelman and M. Adersberger and A. Adiguzel and S. Adorni and T. Adye and Affolder, \{A. A.\} and Y. Afik and C. Agapopoulou and Agaras, \{M. N.\} and A. Aggarwal and C. Agheorghiesei and Aguilar-Saavedra, \{J. A.\} and F. Ahmadov and Ahmed, \{W. S.\} and X. Ai and G. Aielli and S. Akatsuka and {\AA}kesson, \{T. P.A.\} and E. Akilli and Akimov, \{A. V.\} and \{Al Khoury\}, K. and Alberghi, \{G. L.\} and J. Albert and \{Alconada Verzini\}, \{M. J.\} and S. Alderweireldt and M. Aleksa and Aleksandrov, \{I. N.\} and C. Alexa and D. Alexandre and T. Alexopoulos and A. Alfonsi and M. Alhroob and B. Ali and G. Alimonti and J. Alison and Alkire, \{S. P.\} and C. Allaire and Allbrooke, \{B. M.M.\} and Allen, \{B. W.\} and Allport, \{P. P.\} and A. Aloisio and A. Alonso and F. Alonso and C. Alpigiani and Alshehri, \{A. A.\} and \{Alvarez Estevez\}, M. and \{{\'A}lvarez Piqueras\}, D. and Alviggi, \{M. G.\} and \{Amaral Coutinho\}, Y. and A. Ambler and L. Ambroz and C. Amelung and D. Amidei and \{Amor Dos Santos\}, \{S. P.\} and S. Amoroso and Amrouche, \{C. S.\} and F. An and C. Anastopoulos and N. Andari and T. Andeen and Anders, \{C. F.\} and Anders, \{J. K.\} and A. Andreazza and V. Andrei and Anelli, \{C. R.\} and S. Angelidakis and A. Angerami and Anisenkov, \{A. V.\} and A. Annovi and C. Antel and Anthony, \{M. T.\} and M. Antonelli and Antrim, \{D. J.A.\} and F. Anulli and M. Aoki and \{Aparisi Pozo\}, \{J. A.\} and \{Aperio Bella\}, L. and G. Arabidze and Araque, \{J. P.\} and \{Araujo Ferraz\}, V. and \{Araujo Pereira\}, R. and C. Arcangeletti and Arce, \{A. T.H.\} and Arduh, \{F. A.\} and Arguin, \{J. F.\} and S. Argyropoulos and Arling, \{J. H.\} and Armbruster, \{A. J.\} and Armitage, \{L. J.\} and A. Armstrong and O. Arnaez and H. Arnold and A. Artamonov and G. Artoni and S. Artz and S. Asai and N. Asbah and Asimakopoulou, \{E. M.\} and L. Asquith and K. Assamagan and R. Astalos and Atkin, \{R. J.\} and M. Atkinson and Atlay, \{N. B.\} and H. Atmani and K. Augsten and G. Avolio and R. Avramidou and Ayoub, \{M. K.\} and Azoulay, \{A. M.\} and G. Azuelos and Baca, \{M. J.\} and H. Bachacou and K. Bachas and M. Backes and F. Backman and P. Bagnaia and M. Bahmani and H. Bahrasemani and Bailey, \{A. J.\} and Bailey, \{V. R.\} and Baines, \{J. T.\} and M. Bajic and C. Bakalis and Baker, \{O. K.\} and Bakker, \{P. J.\} and \{Bakshi Gupta\}, D. and S. Balaji and Baldin, \{E. M.\} and P. Balek and F. Balli and Balunas, \{W. K.\} and J. Balz and E. Banas and A. Bandyopadhyay and Sw Banerjee and Bannoura, \{A. A.E.\} and L. Barak and Barbe, \{W. M.\} and Barberio, \{E. L.\} and D. Barberis and M. Barbero and T. Barillari and Barisits, \{M. S.\} and J. Barkeloo and T. Barklow and R. Barnea and Barnes, \{S. L.\} and Barnett, \{B. M.\} and Barnett, \{R. M.\} and Z. Barnovska-Blenessy and A. Baroncelli and G. Barone and Barr, \{A. J.\} and \{Barranco Navarro\}, L. and F. Barreiro and \{Barreiro Guimar{\~a}es da Costa\}, J. and S. Barsov and R. Bartoldus and G. Bartolini and Barton, \{A. E.\} and P. Bartos and A. Basalaev and A. Bassalat and Bates, \{R. L.\} and Batista, \{S. J.\} and S. Batlamous and Batley, \{J. R.\} and B. Batool and M. Battaglia and M. Bauce and F. Bauer and Bauer, \{K. T.\} and Bawa, \{H. S.\} and Beacham, \{J. B.\} and T. Beau and Beauchemin, \{P. H.\} and F. Becherer and P. Bechtle and Beck, \{H. C.\} and Beck, \{H. P.\} and K. Becker and M. Becker and C. Becot and Beddall, \{A. J.\} and Beddall, \{A. J.\} and Bednyakov, \{V. A.\} and M. Bedognetti and Bee, \{C. P.\} and Beermann, \{T. A.\} and M. Begalli and M. Begel and A. Behera and Behr, \{J. K.\} and F. Beisiegel and Bell, \{A. S.\} and G. Bella and L. Bellagamba and A. Bellerive and P. Bellos and K. Beloborodov and K. Belotskiy and Belyaev, \{N. L.\} and D. Benchekroun and N. Benekos and Y. Benhammou and Benjamin, \{D. P.\} and M. Benoit and Bensinger, \{J. R.\} and S. Bentvelsen and L. Beresford and M. Beretta and D. Berge and \{Bergeaas Kuutmann\}, E. and N. Berger and B. Bergmann and Bergsten, \{L. J.\} and J. Beringer and S. Berlendis and Bernard, \{N. R.\} and G. Bernardi and C. Bernius and Bernlochner, \{F. U.\} and T. Berry and P. Berta and C. Bertella and Bertram, \{I. A.\} and Besjes, \{G. J.\} and \{Bessidskaia Bylund\}, O. and J. Shojaii",

note = "Copyright the Author(s) 2020. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.",

year = "2021",

month = jan,

day = "10",

doi = "10.1016/j.physletb.2020.135991",

language = "English",

volume = "812",

pages = "1--23",

journal = "Physics Letters B",

issn = "0370-2693",

publisher = "Elsevier",

}

TY - JOUR

T1 - Measurement of the jet mass in high transverse momentum Z(→bb‾)γ production at √s = 13TeV using the ATLAS detector

AU - The ATLAS Collaboration

AU - Aad, G.

AU - Abbott, B.

AU - Abbott, D. C.

AU - Abdinov, O.

AU - Abed Abud, A.

AU - Abeling, K.

AU - Abhayasinghe, D. K.

AU - Abidi, S. H.

AU - AbouZeid, O. S.

AU - Abraham, N. L.

AU - Abramowicz, H.

AU - Abreu, H.

AU - Abulaiti, Y.

AU - Acharya, B. S.

AU - Achkar, B.

AU - Adachi, S.

AU - Adam, L.

AU - Adam Bourdarios, C.

AU - Adamczyk, L.

AU - Adamek, L.

AU - Adelman, J.

AU - Adersberger, M.

AU - Adiguzel, A.

AU - Adorni, S.

AU - Adye, T.

AU - Affolder, A. A.

AU - Afik, Y.

AU - Agapopoulou, C.

AU - Agaras, M. N.

AU - Aggarwal, A.

AU - Agheorghiesei, C.

AU - Aguilar-Saavedra, J. A.

AU - Ahmadov, F.

AU - Ahmed, W. S.

AU - Ai, X.

AU - Aielli, G.

AU - Akatsuka, S.

AU - Åkesson, T. P.A.

AU - Akilli, E.

AU - Akimov, A. V.

AU - Al Khoury, K.

AU - Alberghi, G. L.

AU - Albert, J.

AU - Alconada Verzini, M. J.

AU - Alderweireldt, S.

AU - Aleksa, M.

AU - Aleksandrov, I. N.

AU - Alexa, C.

AU - Alexandre, D.

AU - Alexopoulos, T.

AU - Alfonsi, A.

AU - Alhroob, M.

AU - Ali, B.

AU - Alimonti, G.

AU - Alison, J.

AU - Alkire, S. P.

AU - Allaire, C.

AU - Allbrooke, B. M.M.

AU - Allen, B. W.

AU - Allport, P. P.

AU - Aloisio, A.

AU - Alonso, A.

AU - Alonso, F.

AU - Alpigiani, C.

AU - Alshehri, A. A.

AU - Alvarez Estevez, M.

AU - Álvarez Piqueras, D.

AU - Alviggi, M. G.

AU - Amaral Coutinho, Y.

AU - Ambler, A.

AU - Ambroz, L.

AU - Amelung, C.

AU - Amidei, D.

AU - Amor Dos Santos, S. P.

AU - Amoroso, S.

AU - Amrouche, C. S.

AU - An, F.

AU - Anastopoulos, C.

AU - Andari, N.

AU - Andeen, T.

AU - Anders, C. F.

AU - Anders, J. K.

AU - Andreazza, A.

AU - Andrei, V.

AU - Anelli, C. R.

AU - Angelidakis, S.

AU - Angerami, A.

AU - Anisenkov, A. V.

AU - Annovi, A.

AU - Antel, C.

AU - Anthony, M. T.

AU - Antonelli, M.

AU - Antrim, D. J.A.

AU - Anulli, F.

AU - Aoki, M.

AU - Aparisi Pozo, J. A.

AU - Aperio Bella, L.

AU - Arabidze, G.

AU - Araque, J. P.

AU - Araujo Ferraz, V.

AU - Araujo Pereira, R.

AU - Arcangeletti, C.

AU - Arce, A. T.H.

AU - Arduh, F. A.

AU - Arguin, J. F.

AU - Argyropoulos, S.

AU - Arling, J. H.

AU - Armbruster, A. J.

AU - Armitage, L. J.

AU - Armstrong, A.

AU - Arnaez, O.

AU - Arnold, H.

AU - Artamonov, A.

AU - Artoni, G.

AU - Artz, S.

AU - Asai, S.

AU - Asbah, N.

AU - Asimakopoulou, E. M.

AU - Asquith, L.

AU - Assamagan, K.

AU - Astalos, R.

AU - Atkin, R. J.

AU - Atkinson, M.

AU - Atlay, N. B.

AU - Atmani, H.

AU - Augsten, K.

AU - Avolio, G.

AU - Avramidou, R.

AU - Ayoub, M. K.

AU - Azoulay, A. M.

AU - Azuelos, G.

AU - Baca, M. J.

AU - Bachacou, H.

AU - Bachas, K.

AU - Backes, M.

AU - Backman, F.

AU - Bagnaia, P.

AU - Bahmani, M.

AU - Bahrasemani, H.

AU - Bailey, A. J.

AU - Bailey, V. R.

AU - Baines, J. T.

AU - Bajic, M.

AU - Bakalis, C.

AU - Baker, O. K.

AU - Bakker, P. J.

AU - Bakshi Gupta, D.

AU - Balaji, S.

AU - Baldin, E. M.

AU - Balek, P.

AU - Balli, F.

AU - Balunas, W. K.

AU - Balz, J.

AU - Banas, E.

AU - Bandyopadhyay, A.

AU - Banerjee, Sw

AU - Bannoura, A. A.E.

AU - Barak, L.

AU - Barbe, W. M.

AU - Barberio, E. L.

AU - Barberis, D.

AU - Barbero, M.

AU - Barillari, T.

AU - Barisits, M. S.

AU - Barkeloo, J.

AU - Barklow, T.

AU - Barnea, R.

AU - Barnes, S. L.

AU - Barnett, B. M.

AU - Barnett, R. M.

AU - Barnovska-Blenessy, Z.

AU - Baroncelli, A.

AU - Barone, G.

AU - Barr, A. J.

AU - Barranco Navarro, L.

AU - Barreiro, F.

AU - Barreiro Guimarães da Costa, J.

AU - Barsov, S.

AU - Bartoldus, R.

AU - Bartolini, G.

AU - Barton, A. E.

AU - Bartos, P.

AU - Basalaev, A.

AU - Bassalat, A.

AU - Bates, R. L.

AU - Batista, S. J.

AU - Batlamous, S.

AU - Batley, J. R.

AU - Batool, B.

AU - Battaglia, M.

AU - Bauce, M.

AU - Bauer, F.

AU - Bauer, K. T.

AU - Bawa, H. S.

AU - Beacham, J. B.

AU - Beau, T.

AU - Beauchemin, P. H.

AU - Becherer, F.

AU - Bechtle, P.

AU - Beck, H. C.

AU - Beck, H. P.

AU - Becker, K.

AU - Becker, M.

AU - Becot, C.

AU - Beddall, A. J.

AU - Bednyakov, V. A.

AU - Bedognetti, M.

AU - Bee, C. P.

AU - Beermann, T. A.

AU - Begalli, M.

AU - Begel, M.

AU - Behera, A.

AU - Behr, J. K.

AU - Beisiegel, F.

AU - Bell, A. S.

AU - Bella, G.

AU - Bellagamba, L.

AU - Bellerive, A.

AU - Bellos, P.

AU - Beloborodov, K.

AU - Belotskiy, K.

AU - Belyaev, N. L.

AU - Benchekroun, D.

AU - Benekos, N.

AU - Benhammou, Y.

AU - Benjamin, D. P.

AU - Benoit, M.

AU - Bensinger, J. R.

AU - Bentvelsen, S.

AU - Beresford, L.

AU - Beretta, M.

AU - Berge, D.

AU - Bergeaas Kuutmann, E.

AU - Berger, N.

AU - Bergmann, B.

AU - Bergsten, L. J.

AU - Beringer, J.

AU - Berlendis, S.

AU - Bernard, N. R.

AU - Bernardi, G.

AU - Bernius, C.

AU - Bernlochner, F. U.

AU - Berry, T.

AU - Berta, P.

AU - Bertella, C.

AU - Bertram, I. A.

AU - Besjes, G. J.

AU - Bessidskaia Bylund, O.

AU - Shojaii, J.

N1 - Copyright the Author(s) 2020. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

PY - 2021/1/10

Y1 - 2021/1/10

N2 - The integrated fiducial cross-section and unfolded differential jet mass spectrum of high transverse momentum Z→bb‾ decays are measured in Zγ events in proton–proton collisions at √s = 13TeV. The data analysed were collected between 2015 and 2016 with the ATLAS detector at the Large Hadron Collider and correspond to an integrated luminosity of 36.1 fb−1. Photons are required to have a transverse momentum pT > 175GeV. The Z→bb‾ decay is reconstructed using a jet with pT > 200GeV, found with the anti-kt R = 1.0 jet algorithm, and groomed to remove soft and wide-angle radiation and to mitigate contributions from the underlying event and additional proton–proton collisions. Two different but related measurements are performed using two jet grooming definitions for reconstructing the Z→bb‾ decay: trimming and soft drop. These algorithms differ in their experimental and phenomenological implications regarding jet mass reconstruction and theoretical precision. To identify Z bosons, b-tagged R = 0.2 track-jets matched to the groomed large-R calorimeter jet are used as a proxy for the b-quarks. The signal yield is determined from fits of the data-driven background templates to the different jet mass distributions for the two grooming methods. Integrated fiducial cross-sections and unfolded jet mass spectra for each grooming method are compared with leading-order theoretical predictions. The results are found to be in good agreement with Standard Model expectations within the current statistical and systematic uncertainties.

AB - The integrated fiducial cross-section and unfolded differential jet mass spectrum of high transverse momentum Z→bb‾ decays are measured in Zγ events in proton–proton collisions at √s = 13TeV. The data analysed were collected between 2015 and 2016 with the ATLAS detector at the Large Hadron Collider and correspond to an integrated luminosity of 36.1 fb−1. Photons are required to have a transverse momentum pT > 175GeV. The Z→bb‾ decay is reconstructed using a jet with pT > 200GeV, found with the anti-kt R = 1.0 jet algorithm, and groomed to remove soft and wide-angle radiation and to mitigate contributions from the underlying event and additional proton–proton collisions. Two different but related measurements are performed using two jet grooming definitions for reconstructing the Z→bb‾ decay: trimming and soft drop. These algorithms differ in their experimental and phenomenological implications regarding jet mass reconstruction and theoretical precision. To identify Z bosons, b-tagged R = 0.2 track-jets matched to the groomed large-R calorimeter jet are used as a proxy for the b-quarks. The signal yield is determined from fits of the data-driven background templates to the different jet mass distributions for the two grooming methods. Integrated fiducial cross-sections and unfolded jet mass spectra for each grooming method are compared with leading-order theoretical predictions. The results are found to be in good agreement with Standard Model expectations within the current statistical and systematic uncertainties.

UR - https://www.scopus.com/pages/publications/85108391778

U2 - 10.1016/j.physletb.2020.135991

DO - 10.1016/j.physletb.2020.135991

M3 - Article

AN - SCOPUS:85108391778

SN - 0370-2693

VL - 812

SP - 1

EP - 23

JO - Physics Letters B

JF - Physics Letters B

M1 - 135991

ER -

Measurement of the jet mass in high transverse momentum Z(→bb‾)γ production at √s = 13TeV using the ATLAS detector

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