activity
20212024
most citedPhoton counting from the vacuum ultraviolet to the short wavelength infrared using semiconductor and superconducting technologies

2 citations · 3 across the 4 of their papers we have counts for

collaborators

6 papers

astro-ph.IM2024

Skipper-in-CMOS: Non-Destructive Readout with Sub-Electron Noise Performance for Pixel Detectors

Agustin J. Lapi, Miguel Sofo-Haro, Benjamin C. Parpillon +15

The Skipper-in-CMOS image sensor integrates the non-destructive readout capability of Skipper Charge Coupled Devices (Skipper-CCDs) with the high conversion gain of a pinned photod…

physics.ins-det2023

Achieving Single-Electron Sensitivity at Enhanced Speed in Fully-Depleted CCDs with Double-Gate MOSFETs

Miguel Sofo-Haro, Kevan Donlon, Juan Estrada +3

We introduce a new output amplifier for fully-depleted thick p-channel CCDs based on double-gate MOSFETs. The charge amplifier is an n-type MOSFET specifically designed and operate…

cs.NE2023

On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics Experiments

Shruti R. Kulkarni, Aaron Young, Prasanna Date +12

This work describes the investigation of neuromorphic computing-based spiking neural network (SNN) models used to filter data from sensor electronics in high energy physics experim…

physics.soc-ph20221 cited

Summary Report Topical Group on Application and Industry Community Engagement Frontier Snowmass 2021

Farah Fahim, Alex Murokh, Koji Yoshimura

HEP community leads and operates cutting-edge experiments for the DOE Office of Science which have challenging sensing, data processing, and computing requirements that far surpass…

physics.ins-det20222 cited

Photon counting from the vacuum ultraviolet to the short wavelength infrared using semiconductor and superconducting technologies

Jonathan Asaadi, Dan Baxter, Karl K. Berggren +27

In the last decade, several photon counting technologies have been developed opening a new window for experiments in the low photon number regime. Several ongoing and future projec…

physics.ins-det2021

A reconfigurable neural network ASIC for detector front-end data compression at the HL-LHC

Giuseppe Di Guglielmo, Farah Fahim, Christian Herwig +15

Despite advances in the programmable logic capabilities of modern trigger systems, a significant bottleneck remains in the amount of data to be transported from the detector to off…