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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 ======
  
-======Publications======+====== Articles ======
  
-Since 2013, there was a number of publications based on the HepSim simulated samples. Here are some of them I'm aware of:+Since 2013, there was a number of articles based on the HepSim simulations. Here are some of them I'm aware of:
  
   * A. V. Kotwal, S. Chekanov, M. Low, Double Higgs Production in the 4τ channel from resonances in longitudinal vector boson scattering at a 100 TeV collider, [[http://arxiv.org/abs/1504.08042|arXiv:1504.08042]]. Phys. Rev. D 91, 114018 (2015)   * A. V. Kotwal, S. Chekanov, M. Low, Double Higgs Production in the 4τ channel from resonances in longitudinal vector boson scattering at a 100 TeV collider, [[http://arxiv.org/abs/1504.08042|arXiv:1504.08042]]. Phys. Rev. D 91, 114018 (2015)
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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.Chekanov, Machine Learning Using Rapidity-Mass Matrices for Event Classification Problems in HEP. Universe, 2021, 7(1):19. https://www.mdpi.com/2218-1997/7/1/19   * S.Chekanov, Machine Learning Using Rapidity-Mass Matrices for Event Classification Problems in HEP. Universe, 2021, 7(1):19. https://www.mdpi.com/2218-1997/7/1/19
   * J.Pata, et.al. MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks. [[https://inspirehep.net/literature/1842131 |e-Print: 2101.08578]]   * J.Pata, et.al. MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks. [[https://inspirehep.net/literature/1842131 |e-Print: 2101.08578]]
 +  * 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
 +  * 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.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
 +  *  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)
 +  * 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 LHC, ATL-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]]
      
  
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   * S.Chekanov, A.V.Kotwal, J.List,  M.Vos, Requirements from substructure and jet reconstruction, Snowmass21, Snowmass Community Planning Meeting, October 5-8 (2020), Session 131, [[https://indico.fnal.gov/event/44870/contributions/198860/| PDF talk]]   * S.Chekanov, A.V.Kotwal, J.List,  M.Vos, Requirements from substructure and jet reconstruction, Snowmass21, Snowmass Community Planning Meeting, October 5-8 (2020), Session 131, [[https://indico.fnal.gov/event/44870/contributions/198860/| PDF talk]]
   *  Chih-Hsiang Yeh et al. Timing layers. 4th FCC Physics and Experiments Workshop, Nov 11, 2020, CERN [[https://indico.cern.ch/event/932973/contributions/4059399/ | PDF talk]]   *  Chih-Hsiang Yeh et al. Timing layers. 4th FCC Physics and Experiments Workshop, Nov 11, 2020, CERN [[https://indico.cern.ch/event/932973/contributions/4059399/ | PDF talk]]
 +  * S.Chekanov, S.Magill, Towards simulations of HHCAL for future detectors, CalVision workshop, Univ of Maryland, 29-30 July 2021, PDF file
 +  * S.Chekanov, Machine learning and anomaly detection using rapidity-mass matrices PDF file ISMD2021. 50th International Symposium on Multiparticle Production. (July 12-July 16, as a poster)
 +  * Wasikul I.  Model-Independent Searches for New Physics in Multi-Body Invariant Masses, APS April Meeting 2021, https://meetings.aps.org/Meeting/APR21/Session/G19.1
 +  * 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/)
 +  * 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, HepSim Monte Carlo repository and integration of its software with key4hep, FCC Software Meeting, May 30, 2023, https://indico.cern.ch/event/1283173/,
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hepsim/public.1615129463.txt.gz · Last modified: 2021/03/07 15:04 by hepsim17
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