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hepsim:public [2023/11/08 14:02]
hepsim17 [Articles] 		hepsim:public [2024/04/17 12:29]
hepsim17 [Articles]
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   * 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, 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.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 
 +  * Machine learning could help reveal undiscovered particles within data from the Large Hadron Collider, 2024, April  [[https://www.anl.gov/article/machine-learning-could-help-reveal-undiscovered-particles-within-data-from-the-large-hadron-collider][ANL press release]] [[https://www.newswise.com/doescience/machine-learning-could-help-reveal-undiscovered-particles-within-data-from-the-large-hadron-collider][newswise]] [[https://phys.org/news/2024-04-machine-reveal-undiscovered-particles-large.html][Phys.Org]]
  
 There are also several ATLAS papers and a number of supporting notes that used Monte Carlo files from the HEPSIM repository. There are also several ATLAS papers and a number of supporting notes that used Monte Carlo files from the HEPSIM repository.
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   * 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/,   * 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/,
 +  * S.Chekanov et al, Geant4 simulations of sampling and homogeneous hadronic calorimeters with dual readout for future colliders, 2nd Future circular collider workshop (FCC-ee), Boston, MIT, March 24-28, 2024, (https://indico.mit.edu/event/876/)
   
    
      
    
hepsim/public.txt · Last modified: 2024/05/14 20:04 by hepsim17
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