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hepsim17 [Articles]
hepsim:public [2024/03/11 18:16] (current)
hepsim17 [Articles]
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   * Shin-Shan Yu, etc. Study Of Boosted W-Jets And Higgs-Jets With the SiFCC Detector. Proceedings for the 38th International Conference on High Energy Physics, 3-10 August 2016, Chicago, USA (6 pages, 8 figures), [[https://arxiv.org/abs/1611.01136|arXiv:1611.01136]]   * Shin-Shan Yu, etc. Study Of Boosted W-Jets And Higgs-Jets With the SiFCC Detector. Proceedings for the 38th International Conference on High Energy Physics, 3-10 August 2016, Chicago, USA (6 pages, 8 figures), [[https://arxiv.org/abs/1611.01136|arXiv:1611.01136]]
   * Sourav Sen et al. Detectors for Superboosted tau-leptons at Future Circular Colliders. [[http://pos.sissa.it/archive/conferences/282/788/ICHEP2016_788.pdf| PoS (ICHEP2016) 788]]   * Sourav Sen et al. Detectors for Superboosted tau-leptons at Future Circular Colliders. [[http://pos.sissa.it/archive/conferences/282/788/ICHEP2016_788.pdf| PoS (ICHEP2016) 788]]
 +  * Lee, Sunghee et al, A Data-driven Approach for Computational Simulation: Trend, Requirement and Technology. Journal of Internet Computing and Services,  Volume 19 Issue 1 / Pages.123-130 / 2018 
   * 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, 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.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,  Universe 2022, 8(10), 494; https://doi.org/10.3390/universe8100494 
   *  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.
 +  * 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 ]]
   * F. Mokhtar et al.,  Explaining machine-learned particle-flow reconstruction, [[https://arxiv.org/abs/2111.12840]] (2022)   * 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-2022-048ATLAS-CONF-2022-048 ]] +  * 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. ATLAS Collaboration. https://arxiv.org/abs/2211.08945 (Nov 2022)  
- +  * Search for new physics using unsupervised machine learning for anomaly detection in s√=13 TeV pp collision data recorded by the ATLAS detector at the LHCATL-COM-PHYS-2023-031 (March 2023)  https://cds.cern.ch/record/2847966 
 +  * ATLAS collaboration, Search for new phenomena in two-body invariant mass distributions using unsupervised machine learning for anomaly detection at s√=13 TeV with the ATLAS detector. ATLAS-COM-CONF-2023-022 (https://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/CONFNOTES/ATLAS-CONF-2023-022/), May 2023. CDS: http://cds.cern.ch/record/2859329 
 +  *  ATLAS collaboration, Search for new phenomena in two-body invariant mass distributions using unsupervised machine learning for anomaly detection at s√=13 TeV with the ATLAS detector, CERN-EP-2023-112, https://arxiv.org/abs/2307.01612 (July 5, 2023) 
 +  *  ATLAS collaboration, Search for new phenomena in multi-body invariant masses in events with at least one isolated lepton and two jets using 13 TeV proton–proton collision data collected by the ATLAS detector,  J. High Energ. Phys. 2023, 202 (2023). https://doi.org/10.1007/JHEP07(2023)202 
 +  * S.V.Chekanov, R.Zhang, Boosting sensitivity to new physics with unsupervised anomaly detection in dijet resonance search, ANL-HEP-183852, https://arxiv.org/abs/2308.02671 (arXiv:2308.02671) 
 +  * S.V.Chekanov, S.Eno, S.Magill, C.Palmer, L.Wu, Geant4 simulations of sampling and homogeneous hadronic calorimeters with dual readout for future colliders, ANL-HEP-186226,   [[https://arxiv.org/abs/2311.03539|arXiv:2311.03539]] 
 +  * S.Chekanov, R.Zhang, Enhancing the hunt for new phenomena in dijet final states using anomaly detection filters at the high-luminosity large Hadron Collider, Eur. Phys. J. Plus (2024) 139:237
      
  
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   * 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   * 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   * 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
 +  * S.Chekanov, HepSim Monte Carlo repository and integration of its software with key4hep, FCC Software Meeting, May 30, 2023, https://indico.cern.ch/event/1283173/,