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Title: New metric improving Bayesian calibration of a multistage approach studying hadron and inclusive jet suppression

We study parton energy-momentum exchange with the quark gluon plasma (QGP) within a multistage approach composed of in-medium Dokshitzer-Gribov-Lipatov-Altarelli-Parisi evolution at high virtuality, and (linearized) Boltzmann transport formalism at lower virtuality. This multistage simulation is then calibrated in comparison with high-pTcharged hadrons,Dmesons, and the inclusive jet nuclear modification factors, using Bayesian model-to-data comparison, to extract the virtuality-dependent transverse momentum broadening transport coefficientq̂. To facilitate this undertaking, we develop a quantitative metric for validating the Bayesian workflow, which is used to analyze the sensitivity of various model parameters to individual observables. The usefulness of this new metric in improving Bayesian model emulation is shown to be highly beneficial for future such analyses.

Published by the American Physical Society2024 
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Award ID(s):
2004571 2111568
NSF-PAR ID:
10518552
Author(s) / Creator(s):
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Corporate Creator(s):
Publisher / Repository:
APS
Date Published:
Journal Name:
Physical Review C
Volume:
109
Issue:
6
ISSN:
2469-9985
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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Each higgsino is assumed to decay into a Higgs boson and a nearly massless gravitino. The search targets events where each Higgs boson decays into<math display='inline'><mi>b</mi><mover accent='true'><mi>b</mi><mo stretchy='false'>¯</mo></mover></math>, leading to a reconstructed final state with at least three energetic<math display='inline'><mi>b</mi></math>-jets and missing transverse momentum. Two complementary analysis channels are used, with each channel specifically targeting either low or high values of the higgsino mass. The low-mass (high-mass) channel exploits<math display='inline'><mrow><mn>126</mn><mtext> </mtext><mo stretchy='false'>(</mo><mn>139</mn><mo stretchy='false'>)</mo><mtext> </mtext><mtext> </mtext><msup><mrow><mi>fb</mi></mrow><mrow><mo>−</mo><mn>1</mn></mrow></msup></mrow></math>of<math display='inline'><msqrt><mi>s</mi></msqrt><mo>=</mo><mn>13</mn><mtext> </mtext><mtext> </mtext><mi>TeV</mi></math>data collected by the ATLAS detector during Run 2 of the Large Hadron Collider. No significant excess above the Standard Model prediction is found. At 95% confidence level, masses between 130 GeV and 940 GeV are excluded for higgsinos decaying exclusively into Higgs bosons and gravitinos. Exclusion limits as a function of the higgsino decay branching ratio to a Higgs boson are also reported.</p> <sec><supplementary-material><permissions><copyright-statement>© 2024 CERN, for the ATLAS Collaboration</copyright-statement><copyright-year>2024</copyright-year><copyright-holder>CERN</copyright-holder></permissions></supplementary-material></sec> </div> <a href='#' class='show open-abstract' style='margin-left:10px;'>more »</a> <a href='#' class='hide close-abstract' style='margin-left:10px;'>« less</a> </div><div class="clearfix"></div> </div> </li> </ol> <div class="push_top"></div> </div> </div> <div class="col-md-3"> <div id="citation-sidebar"> <ul class="nav nav-list" id="citation-fulltext-sidebar" style="font-size: 14px; font-family: Georgia Regular;"> <li style="font-weight: bold; margin-bottom: 5px; font-size:13px;">Free Publicly Accessible Full Text</li> <li class="small"> This content will become publicly available on June 1, 2025</li> <li class="divider"></li> <li style="font-weight: bold;font-size:13px;">Journal Article:</li> <li style="word-break:break-all" class="small"> <a href="https://doi.org/10.1103/PhysRevC.109.064903" target="_blank" rel="noopener noreferrer" title="Document DOI URL" class="external-link" data-ostiid="10518552" style="word-wrap: break-word;">https://doi.org/10.1103/PhysRevC.109.064903  <span class="fas fa-external-link-alt"></span></a></li> </ul> <div class="hidden-print"> <ul class="nav nav-list clearfix" id="sidebar-feedback" style="margin-top: 20px; margin-bottom: 20px; clear: both;"> <li style="position: relative;"> <div class="feedback-container"> <div style="font-family: Georgia Regular; font-size: 14px; color: #313b52; padding:20px;"> Have feedback or suggestions for a way to improve these results?<br/> <span style="text-decoration: underline;"> <script type="text/javascript" defer>/* <![CDATA[ */ user = "feedback"; site = "research.gov"; subject = "?subject=Comments or Suggestions"; content = "<span class='fa fa-envelope'></span><span class='span-link' style='padding-left:5px'>Let us know</span>"; id = ""; document.write('<a itemprop="'+ id +'" href="mailto:' + user + '@' + site + subject + '">' + (content != '' ? content : (user + '@' + site)) + '</a>'); /* ]]> */</script> <noscript></noscript>!</span> </div> </li> </ul> <ul class="nav nav-list" style="font-size: 14px; font-family: Arial Regular;"> <li class="nav-header header-format">Citation Formats</li> <li class="links-format"><a href="#cite-mla" data-toggle="modal">MLA</a> <div id="cite-mla" class="modal" tabindex="-1" role="dialog" aria-labelledby="cite-mla_label" aria-hidden="true"> <div class="modal-dialog"> <div class="modal-content"> <div class="modal-header"> <button type="button" class="close" data-dismiss="modal" aria-hidden="true">×</button> <strong id="cite-mla_label">Cite: MLA Format</strong> </div> <div class="modal-body" >Fan, W, Vujanovic, G, Bass, S A, Angerami, A, Arora, R, Cao, S, Chen, Y, Dai, T, Du, L, Ehlers, R, Elfner, H, Fries, R J, Gale, C, He, Y, Heffernan, M, Heinz, U, Jacak, B V, Jacobs, P M, Jeon, S, Ji, Y, Kasper, L, Kordell, M, Kumar, A, Latessa, J, Lee, Y-J, Lemmon, R, Liyanage, D, Lopez, A, Luzum, M, Majumder, A, Mak, S, Mankolli, A, Martin, C, Mehryar, H, Mengel, T, Mulligan, J, Nattrass, C, Norman, J, Paquet, J-F, Parker, C, Putschke, J H, Roland, G, Schenke, B, Schwiebert, L, Sengupta, A, Shen, C, Sirimanna, C, Soeder, D, Soltz, R A, Soudi, I, Strickland, M, Tachibana, Y, Velkovska, J, Wang, X-N, and Zhao, W. <em>New metric improving Bayesian calibration of a multistage approach studying hadron and inclusive jet suppression</em>. Retrieved from https://par.nsf.gov/biblio/10518552. <em>Physical Review C</em> 109.6 Web. doi:10.1103/PhysRevC.109.064903. </div> <div class="modal-footer"> <button class="btn btn-sm btn-default" data-dismiss="modal" aria-hidden="true">Close</button> </div> </div> </div> </div></li> <li class="links-format"><a href="#cite-apa" data-toggle="modal">APA</a> <div id="cite-apa" class="modal" tabindex="-1" role="dialog" aria-labelledby="cite-apa_label" aria-hidden="true"> <div class="modal-dialog"> <div class="modal-content"> <div class="modal-header"> <button type="button" class="close" data-dismiss="modal" aria-hidden="true">×</button> <strong id="cite-apa_label">Cite: APA Format</strong> </div> <div class="modal-body">Fan, W, Vujanovic, G, Bass, S A, Angerami, A, Arora, R, Cao, S, Chen, Y, Dai, T, Du, L, Ehlers, R, Elfner, H, Fries, R J, Gale, C, He, Y, Heffernan, M, Heinz, U, Jacak, B V, Jacobs, P M, Jeon, S, Ji, Y, Kasper, L, Kordell, M, Kumar, A, Latessa, J, Lee, Y-J, Lemmon, R, Liyanage, D, Lopez, A, Luzum, M, Majumder, A, Mak, S, Mankolli, A, Martin, C, Mehryar, H, Mengel, T, Mulligan, J, Nattrass, C, Norman, J, Paquet, J-F, Parker, C, Putschke, J H, Roland, G, Schenke, B, Schwiebert, L, Sengupta, A, Shen, C, Sirimanna, C, Soeder, D, Soltz, R A, Soudi, I, Strickland, M, Tachibana, Y, Velkovska, J, Wang, X-N, & Zhao, W. <em>New metric improving Bayesian calibration of a multistage approach studying hadron and inclusive jet suppression</em>. <em>Physical Review C</em>, <em>109</em> (6). Retrieved from https://par.nsf.gov/biblio/10518552. <a href="https://doi.org/10.1103/PhysRevC.109.064903">https://doi.org/10.1103/PhysRevC.109.064903</a> </div> <div class="modal-footer"> <button class="btn btn-sm btn-default" data-dismiss="modal" aria-hidden="true">Close</button> </div> </div> </div> </div></li> <li class="links-format"><a href="#cite-chi" data-toggle="modal">Chicago</a> <div id="cite-chi" class="modal" tabindex="-1" role="dialog" aria-labelledby="cite-chi_label" aria-hidden="true"> <div class="modal-dialog"> <div class="modal-content"> <div class="modal-header"> <button type="button" class="close" data-dismiss="modal" aria-hidden="true">×</button> <strong id="cite-chi_label">Cite: Chicago Format</strong> </div> <div class="modal-body">Fan, W, Vujanovic, G, Bass, S A, Angerami, A, Arora, R, Cao, S, Chen, Y, Dai, T, Du, L, Ehlers, R, Elfner, H, Fries, R J, Gale, C, He, Y, Heffernan, M, Heinz, U, Jacak, B V, Jacobs, P M, Jeon, S, Ji, Y, Kasper, L, Kordell, M, Kumar, A, Latessa, J, Lee, Y-J, Lemmon, R, Liyanage, D, Lopez, A, Luzum, M, Majumder, A, Mak, S, Mankolli, A, Martin, C, Mehryar, H, Mengel, T, Mulligan, J, Nattrass, C, Norman, J, Paquet, J-F, Parker, C, Putschke, J H, Roland, G, Schenke, B, Schwiebert, L, Sengupta, A, Shen, C, Sirimanna, C, Soeder, D, Soltz, R A, Soudi, I, Strickland, M, Tachibana, Y, Velkovska, J, Wang, X-N, and Zhao, W. "New metric improving Bayesian calibration of a multistage approach studying hadron and inclusive jet suppression". <em>Physical Review C</em> 109 (6). Country unknown/Code not available: APS. <a href="https://doi.org/10.1103/PhysRevC.109.064903">https://doi.org/10.1103/PhysRevC.109.064903.</a> <a href="https://par.nsf.gov/biblio/10518552">https://par.nsf.gov/biblio/10518552</a>. </div> <div class="modal-footer"> <button class="btn btn-sm btn-default" data-dismiss="modal" aria-hidden="true">Close</button> </div> </div> </div> </div></li> <li class="links-format"><a href="#cite-bib" data-toggle="modal">BibTeX</a> <div id="cite-bib" class="modal" tabindex="-1" role="dialog" aria-labelledby="cite-bib_label" aria-hidden="true"> <div class="modal-dialog"> <div class="modal-content"> <div class="modal-header"> <button type="button" class="close" data-dismiss="modal" aria-hidden="true">×</button> <strong id="cite-bib_label">Cite: BibTeX Format</strong> </div> <div class="modal-body"> @article{osti_10518552,<br/> place = {Country unknown/Code not available}, title = {New metric improving Bayesian calibration of a multistage approach studying hadron and inclusive jet suppression}, url = {https://par.nsf.gov/biblio/10518552}, DOI = {10.1103/PhysRevC.109.064903}, abstractNote = {We study parton energy-momentum exchange with the quark gluon plasma (QGP) within a multistage approach composed of in-medium Dokshitzer-Gribov-Lipatov-Altarelli-Parisi evolution at high virtuality, and (linearized) Boltzmann transport formalism at lower virtuality. This multistage simulation is then calibrated in comparison with high-pTcharged hadrons,Dmesons, and the inclusive jet nuclear modification factors, using Bayesian model-to-data comparison, to extract the virtuality-dependent transverse momentum broadening transport coefficientq̂. To facilitate this undertaking, we develop a quantitative metric for validating the Bayesian workflow, which is used to analyze the sensitivity of various model parameters to individual observables. The usefulness of this new metric in improving Bayesian model emulation is shown to be highly beneficial for future such analyses. Published by the American Physical Society2024}, journal = {Physical Review C}, volume = {109}, number = {6}, publisher = {APS}, author = {Fan, W and Vujanovic, G and Bass, S A and Angerami, A and Arora, R and Cao, S and Chen, Y and Dai, T and Du, L and Ehlers, R and Elfner, H and Fries, R J and Gale, C and He, Y and Heffernan, M and Heinz, U and Jacak, B V and Jacobs, P M and Jeon, S and Ji, Y and Kasper, L and Kordell, M and Kumar, A and Latessa, J and Lee, Y-J and Lemmon, R and Liyanage, D and Lopez, A and Luzum, M and Majumder, A and Mak, S and Mankolli, A and Martin, C and Mehryar, H and Mengel, T and Mulligan, J and Nattrass, C and Norman, J and Paquet, J-F and Parker, C and Putschke, J H and Roland, G and Schenke, B and Schwiebert, L and Sengupta, A and Shen, C and Sirimanna, C and Soeder, D and Soltz, R A and Soudi, I and Strickland, M and Tachibana, Y and Velkovska, J and Wang, X-N and Zhao, W}, }</div> <div class="modal-footer"> <button class="btn btn-sm btn-default" data-dismiss="modal" aria-hidden="true">Close</button> </div> </div> </div> </div></li> <li class="divider"></li> </ul> <ul class="nav nav-list" style="font-size: 14px; 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