11 citations · 15 across the 8 of their papers we have counts for
8 papers
Machine Learning on Heterogeneous, Edge, and Quantum Hardware for Particle Physics (ML-HEQUPP)
Julia Gonski, Jennifer Ott, Jenni Ott +129
The next generation of particle physics experiments will face a new era of challenges in data acquisition, due to unprecedented data rates and volumes along with extreme environmen…
Optimization and Performance Characterization of the Second Generation Fermilab Constant Fraction Discriminator Readout ASIC
Artur Apresyan, Shuoxing Wu, Si Xie +5
We present the optimization and performance characterization of the second-generation Fermilab Constant Fraction Discriminator ASIC (FCFD), designed for the readout of AC-coupled l…
Towards High-Efficiency Particle Detection Using Superconducting Microwire Arrays
Christina Wang, Cristián Peña, Adolf Bornheim +17
We present a detailed study of an 8-channel mm WSi superconducting microwire single photon detector (SMSPD) array exposed to 120 GeV hadron beam and 120 GeV muon b…
AC-LGADs Fermilab Front-End Electronics Characterization
René Ríos, Esteban Felipe Molina Cardenas, Cristian Peña +5
We characterized the front-end electronics used to process high-frequency signals from low-gain avalanche diodes (LGADs) at the Fermilab Test Beam Facility. LGADs are silicon detec…
Results for pixel and strip centimeter-scale AC-LGAD sensors with a 120 GeV proton beam
Irene Dutta, Christopher Madrid, Ryan Heller +20
We present the results of an extensive evaluation of strip and pixel AC-LGAD sensors tested with a 120 GeV proton beam, focusing on the influence of design parameters on the sensor…
Hong-Ou-Mandel Interference with a Coexisting Clock using Transceivers for Synchronization over Deployed Fiber
Anirudh Ramesh, Daniel R. Reilly, Kim Fook Lee +8
Interference between independently generated photons is a key step towards distributing entanglement over long distances, but it requires synchronization between the distantly-loca…
Design and performance of the Fermilab Constant Fraction Discriminator ASIC
Si Xie, Artur Apresyan, Ryan Heller +6
We present the design and performance characterization results of the novel Fermilab Constant Fraction Discriminator ASIC (FCFD) developed to readout low gain avalanche detector (L…
Improving Di-Higgs Sensitivity at Future Colliders in Hadronic Final States with Machine Learning
Artur Apresyan, Daniel Diaz, Javier Duarte +8
One of the central goals of the physics program at the future colliders is to elucidate the origin of electroweak symmetry breaking, including precision measurements of the Higgs s…