5 papers
Antimatter Annihilation Vertex Reconstruction with Deep Learning for ALPHA-g Radial Time Projection Chamber
Ashley Ferreira, Mahip Singh, Yukiya Saito +9
The ALPHA-g experiment at CERN aims to precisely measure the terrestrial gravitational acceleration of antihydrogen atoms. A radial Time Projection Chamber (rTPC), that surrounds t…
Conditioned quantum-assisted deep generative surrogate for particle-calorimeter interactions
J. Quetzalcoatl Toledo-Marin, Sebastian Gonzalez, Hao Jia +9
Particle collisions at accelerators such as the Large Hadron Collider, recorded and analyzed by experiments such as ATLAS and CMS, enable exquisite measurements of the Standard Mod…
Zephyr quantum-assisted hierarchical Calo4pQVAE for particle-calorimeter interactions
Ian Lu, Hao Jia, Sebastian Gonzalez +10
With the approach of the High Luminosity Large Hadron Collider (HL-LHC) era set to begin particle collisions by the end of this decade, it is evident that the computational demands…
AI Meets Antimatter: Unveiling Antihydrogen Annihilations
Ashley Ferreira, Mahip Singh, Andrea Capra +9
The ALPHA-g experiment at CERN aims to perform the first-ever direct measurement of the effect of gravity on antimatter, determining its weight to within 1% precision. This measure…
CaloQVAE : Simulating high-energy particle-calorimeter interactions using hybrid quantum-classical generative models
Sehmimul Hoque, Hao Jia, Abhishek Abhishek +6
The Large Hadron Collider's high luminosity era presents major computational challenges in the analysis of collision events. Large amounts of Monte Carlo (MC) simulation will be re…