CORTEXA
← Browse

Philip Harris

2 papers indexed

arxivhep-excs.LG2026-07-22

Machine Can Automatically Discover Parametric Functions to Model HEP Data

Ho Fung Tsoi, Dylan Rankin, Cecile Caillol, Miles Cranmer, Sridhara Dasu, Javier Duarte, et al.

In HEP data analyses, finding an adequate function to model binned data has largely relied on a manual process: guess a functional form by intuition, fit, examine, then repeat until successful. We show that this iterative process can be automated by a machine using symbolic regre…

View free PDFSource page
arxivastro-ph.HEastro-ph.IMcs.AI2026-07-01

AI-enabled gravitational-waves searches for binary neutron stars at optimal sensitivity

Bhavya Gupta, Deep Chatterjee, William Benoit, Ethan Marx, Christina Reissel, Seiya Tsukamoto, et al.

Gravitational Waves (GWs) represent the newest window of astronomy, furthering our understanding of compact objects like black holes and neutron stars in the Universe. The signal from two merging neutron stars is especially interesting since it brings the prospect of concordant e…

View free PDFSource page