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hepsim:public [2022/03/15 14:19]
hepsim17
hepsim:public [2022/08/12 12:36]
hepsim17 [Articles]
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 {{indexmenu_n>120}} {{indexmenu_n>120}}
 [[:|<< back to HepSim manual]] [[:|<< back to HepSim manual]]
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 ====== Public results ====== ====== Public results ======
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   * S.V. Chekanov, S. Darmora, W. Islam, C.E.M. Wagner, J. Zhang, Model-independent searches for new physics in multi-body invariant masses, ANL-HEP-166648, Snowmass21 contribution,  https://arxiv.org/abs/2103.10217. Universe 2021, 7(9), 333; https://www.mdpi.com/2218-1997/7/9/333   * S.V. Chekanov, S. Darmora, W. Islam, C.E.M. Wagner, J. Zhang, Model-independent searches for new physics in multi-body invariant masses, ANL-HEP-166648, Snowmass21 contribution,  https://arxiv.org/abs/2103.10217. Universe 2021, 7(9), 333; https://www.mdpi.com/2218-1997/7/9/333
   * Frank E. Taylor, Applications of pT-xR Variables in Describing Inclusive Cross Sections at the LHC. https://arxiv.org/pdf/2105.01010.pdf   * Frank E. Taylor, Applications of pT-xR Variables in Describing Inclusive Cross Sections at the LHC. https://arxiv.org/pdf/2105.01010.pdf
-  * S.V.Chekanov, Searches for new physics in collision events using a statistical technique for anomaly detection, Proceedings of 50th International Symposium on Multiparticle Dynamics (ISMD2021), 12-16 July 2021, SciPost,  https://arxiv.org/abs/2110.06277+  * S.V.Chekanov, Searches for new physics in collision events using a statistical technique for anomaly detection, Proceedings of 50th International Symposium on Multiparticle Dynamics (ISMD2021), 12-16 July 2021,  SciPost Phys. Proc. 10, 015 (2022),  https://arxiv.org/abs/2110.06277
   * S. Darmora et. al, Signal optimization studies for dijet resonances in events with identified leptons using machine learning, June 2021, ATL-COM-PHYS-2021-391, https://cds.cern.ch/record/2773239/   * S. Darmora et. al, Signal optimization studies for dijet resonances in events with identified leptons using machine learning, June 2021, ATL-COM-PHYS-2021-391, https://cds.cern.ch/record/2773239/
   *  S.V. Chekanov, W. Hopkins, Event-based anomaly detection for new physics searches at the LHC using machine learning, https://arxiv.org/abs/2111.12119 (2021), ANL-HEP-17239 (also contributed paper)   *  S.V. Chekanov, W. Hopkins, Event-based anomaly detection for new physics searches at the LHC using machine learning, https://arxiv.org/abs/2111.12119 (2021), ANL-HEP-17239 (also contributed paper)
 +  *  S.Chekanov et al, "Precision timing for collider-experiment-based calorimetry", Submitted to the Proceedings of the US Community Study on the Future of Particle Physics (Snowmass 2021), March 14, 2022, https://arxiv.org/abs/2203.07286, ANL-HEP-173859, MPP-2022-28
 +  *  B. Nachman et al,  Jets and Jet Substructure at Future Colliders, [[https://arxiv.org/abs/2203.07462]] March 2022, Snowmass21 white paper.
 +  * F. Mokhtar et al.,  Explaining machine-learned particle-flow reconstruction, [[https://arxiv.org/abs/2111.12840]] (2022)
 +  * ATLAS Collaboration, ATLAS Collaboration, Search for new phenomena in multi-body invariant masses in events with at least one isolated lepton and two jets using s√=13 TeV proton-proton collision data collected by the ATLAS detector, July 1, 2022, ATLAS-CONF-2022-048 [[https://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/CONFNOTES/ATLAS-CONF-2022-048/ | ATLAS-CONF-2022-048 ]]
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   * S.Chekanov et al., Jas4pp. A Data-Analysis Framework for Physics and Detector Studies. APS April Meeting 2021, https://meetings.aps.org/Meeting/APR21/Session/T19.1   * S.Chekanov et al., Jas4pp. A Data-Analysis Framework for Physics and Detector Studies. APS April Meeting 2021, https://meetings.aps.org/Meeting/APR21/Session/T19.1
   * S.Chekanov et. al, Calorimeter performance studies using Monte Carlo simulations for future collider detectors. CPAD Instrumentation Frontier Workshop 2021, 18-22 March 2021, Stony Brook, NY (https://indico.fnal.gov/event/46746/contributions/210055/)   * S.Chekanov et. al, Calorimeter performance studies using Monte Carlo simulations for future collider detectors. CPAD Instrumentation Frontier Workshop 2021, 18-22 March 2021, Stony Brook, NY (https://indico.fnal.gov/event/46746/contributions/210055/)
-  * S.Chekanov et al, "Precision timing for collider-experiment-based calorimetry", Submitted to the Proceedings of the US Community Study on the Future of Particle Physics (Snowmass 2021)March 14, 2022, https://arxiv.org/abs/2203.07286ANL-HEP-173859MPP-2022-28+  *  J.Crosby, "Searches for new physics in collision events using a statistical technique for anomaly detection", APS April MeetingApr 8-14, 2022, https://meetings.aps.org/Meeting/APR22/Session/Q09.
 +  * S.ChekanovEvent-based anomaly detection for new physics searches at the LHC using machine learningAPS April Meeting, Apr 8-14, 2022, https://meetings.aps.org/Meeting/APR22/Session/Q09.1 
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