3 papers
Maximizing Returns: Optimizing Experimental Observables at the LHC
Jeffrey Davis, Andrei V. Gritsan, Lucas S. Mandacaru Guerra +4
We introduce a framework that integrates both analytical and machine-learning approaches for calculating observables optimal for EFT and broader applications at the LHC. A new metr…
MATHUSLA: An External Long-Lived Particle Detector to Maximize the Discovery Potential of the HL-LHC
Branden Aitken, Cristiano Alpigiani, Juan Carlos Arteaga-Velázquez +70
We present the current status of the MATHUSLA (MAssive Timing Hodoscope for Ultra-Stable neutraL pArticles) long-lived particle (LLP) detector at the HL-LHC, covering the design, f…
Conceptual Design Report for the MATHUSLA Long-Lived Particle Detector near CMS
Branden Aitken, Cristiano Alpigiani, Juan Carlos Arteaga-Velázquez +70
We present the Conceptual Design Report (CDR) for the MATHUSLA (MAssive Timing Hodoscope for Ultra-Stable neutraL pArticles) long-lived particle detector at the HL-LHC, covering th…