hepsim:public
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* 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 | * 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:// | * Machine learning could help reveal undiscovered particles within data from the Large Hadron Collider, 2024, April [[https:// | ||
+ | * ADFilter - a web tool for anomaly detection using autoencoders based on deep unsupervised neural networks, ATL-COM-PHYS-2024-469, | ||
+ | * * S.V. Chekanov, W. Islam, R. Zhang, N. Luongo, " | ||
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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, HepSim Monte Carlo repository and integration of its software with key4hep, FCC Software Meeting, May 30, 2023, https:// | * S.Chekanov, HepSim Monte Carlo repository and integration of its software with key4hep, FCC Software Meeting, May 30, 2023, https:// | ||
* 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:// | * 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:// | ||
- | * S.Chekanov et al, ADFilter: Online tool for processing BSM models using trained deep learning autoencoder. ATLAS Machine Learning Workshop, | + | * S.Chekanov et al, ADFilter: Online tool for processing BSM models using trained deep learning autoencoder. ATLAS Machine Learning Workshop, |
+ | * S.Chekanov et al, The initial studies of tracking using the CLD detector for FCC-ee. The FCCee detector meeting, CERN, Sep 28, 2024 https:// | ||
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hepsim/public.1719869101.txt.gz · Last modified: 2024/07/01 21:25 by 127.0.0.1