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--- hepsim:public [2024/04/17 12:26]
hepsim17 [Articles]
+++ hepsim:public [2024/04/17 12:29]
hepsim17 [Articles]
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   * 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 [https://www.anl.gov/article/machine-learning-could-help-reveal-undiscovered-particles-within-data-from-the-large-hadron-collider] [https://www.newswise.com/doescience/machine-learning-could-help-reveal-undiscovered-particles-within-data-from-the-large-hadron-collider] [https://phys.org/news/2024-04-machine-reveal-undiscovered-particles-large.html]
+  * 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.