5 papers
A fast Bayesian surrogate for the photon flux in ultra-peripheral collisions
Simone Ragoni, Janet Seger
We present a fast surrogate for the Equivalent Photon Approximation (EPA) flux in ultraperipheral collisions (UPCs), based on a Bayesian neural network (BNN) trained over analytica…
IPPOG: a global network for particle physics outreach and education
IPPOG Collaboration
We present the International Particle Physics Outreach Group (IPPOG), a global network dedi- cated to connecting students, educators, and the general public with the world of parti…
AI-powered full-data set search for new physics in ultraperipheral and diffractive events
Simone Ragoni, Brianna Kinkaid, Janet Seger +2
We present possible strategies for anomaly detection of rare particle decays and exotic hadrons, such as pentaquarks, in low-background environments such as those characteristic of…
Machine learning opportunities for online and offline tagging of photo-induced and diffractive events in continuous readout experiments
Simone Ragoni, Janet Seger, Christopher Anson +1
The increasing data rates in modern high-energy physics experiments such as ALICE at the LHC and the upcoming ePIC experiment at the Electron-Ion Collider (EIC) present significant…
Zero-bias new particle searches using autoencoders in UPCs and diffractive events
Simone Ragoni, Janet Seger, Christopher Anson
We present an application of unsupervised learning for zero-bias detection of rare particle decays and exotic hadrons in low-background environments such as those characteristic of…