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hepsim:public [2022/03/18 19:13]
hepsim17 [Articles]
hepsim:public [2022/08/12 13:17] (current)
hepsim17 [Articles]
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   * M. Beydler et al.,  Initial performance studies of a general-purpose detector for multi-TeV physics at a 100 TeV pp collider. Dec 2016. [[https://arxiv.org/abs/1612.07291|arXiv:1612.07291]]. Published in JINST 12 (2017) P06009.[[http://dx.doi.org/10.1088/1748-0221/12/06/P06009|(PDF)]]   * M. Beydler et al.,  Initial performance studies of a general-purpose detector for multi-TeV physics at a 100 TeV pp collider. Dec 2016. [[https://arxiv.org/abs/1612.07291|arXiv:1612.07291]]. Published in JINST 12 (2017) P06009.[[http://dx.doi.org/10.1088/1748-0221/12/06/P06009|(PDF)]]
   * Effect of PYTHIA8 tunes on event shapes and top-quark reconstruction in e+e− annihilation at CLIC, S.Chekanov, M.Demarteau, A.Fischer,  J.Zhang, CLIC Collaboration, CLICdp-Note-2017-005, Oct 20, 2017. ANL-HEP-2017-138349, http://cds.cern.ch/record/2289960 and https://arxiv.org/abs/1710.07713   * Effect of PYTHIA8 tunes on event shapes and top-quark reconstruction in e+e− annihilation at CLIC, S.Chekanov, M.Demarteau, A.Fischer,  J.Zhang, CLIC Collaboration, CLICdp-Note-2017-005, Oct 20, 2017. ANL-HEP-2017-138349, http://cds.cern.ch/record/2289960 and https://arxiv.org/abs/1710.07713
 +  * FCC-hh: The Hadron Collider, Future Circular Collider Conceptual Design Report Volume 3, Eur. Phys. J. Special Topics 228, 755–1107 (2019) 
   * Precision searches in dijets at the HL-LHC and HE-LHC, S. V. Chekanov, J. T. Childers, D. Frizzell, J. Proudfoot, R. Wang, ANL-HEP-139751, JINST 13 (2018) P05022 https://arxiv.org/abs/1710.09484.    * Precision searches in dijets at the HL-LHC and HE-LHC, S. V. Chekanov, J. T. Childers, D. Frizzell, J. Proudfoot, R. Wang, ANL-HEP-139751, JINST 13 (2018) P05022 https://arxiv.org/abs/1710.09484. 
   * S.V. Chekanov, Imaging particle collision data for event classification using machine learning, May (2018),  ANL-HEP-144006, NIMA 931 (2019) 92 (https://doi.org/10.1016/j.nima.2019.04.031). Also as  https://arxiv.org/abs/1805.11650   * S.V. Chekanov, Imaging particle collision data for event classification using machine learning, May (2018),  ANL-HEP-144006, NIMA 931 (2019) 92 (https://doi.org/10.1016/j.nima.2019.04.031). Also as  https://arxiv.org/abs/1805.11650
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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   *  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.   *  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/)
 +  * J.Crosby, "Searches for new physics in collision events using a statistical technique for anomaly detection", APS April Meeting, Apr 8-14, 2022, https://meetings.aps.org/Meeting/APR22/Session/Q09.4
 +  * S.Chekanov, Event-based anomaly detection for new physics searches at the LHC using machine learning, APS April Meeting, Apr 8-14, 2022, https://meetings.aps.org/Meeting/APR22/Session/Q09.1
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