activity
20172022
most citedQuality Control of Mass-Produced GEM Detectors for the CMS GE1/1 Muon Upgrade

26 citations · 33 across the 8 of their papers we have counts for

collaborators

8 papers

eess.SY2022★ 2 cited

Two-level Robust State Estimation for Multi-Area Power Systems Under Bounded Uncertainties

Shiva Moshtagh, Mehdi Rahmani

This paper introduces a two-level robust approach to estimate the unknown states of a large-scale power system while the measurements and network parameters are subjected to uncert…

physics.ins-det2022★ 26 cited

Quality Control of Mass-Produced GEM Detectors for the CMS GE1/1 Muon Upgrade

M. Abbas, M. Abbrescia, H. Abdalla +179

The series of upgrades to the Large Hadron Collider, culminating in the High Luminosity Large Hadron Collider, will enable a significant expansion of the physics program of the CMS…

hep-ph2021★ 1 cited

Illuminating long-lived dark vector bosons via exotic Higgs decays at

Tamer Elkafrawy, Marcus Hohlmann, Teruki Kamon +4

The possibility of producing a measurable long-lived dark boson, that is assumed to be produced either via its kinetic mixing with the hypercharge gauge boson or via mixing of…

physics.ins-det2021★ 1 cited

Modeling the triple-GEM detector response to background particles for the CMS Experiment

M. Abbas, M. Abbrescia, H. Abdalla +186

An estimate of environmental background hit rate on triple-GEM chambers is performed using Monte Carlo (MC) simulation and compared to data taken by test chambers installed in the…

physics.ins-det2021

Performance of a Triple-GEM Demonstrator in Collisions at the CMS Detector

M. Abbas, M. Abbrescia, H. Abdalla +178

After the Phase-2 high-luminosity upgrade to the Large Hadron Collider (LHC), the collision rate and therefore the background rate will significantly increase, particularly in the…

cs.LG2020★ 2 cited

Ranking and Rejecting of Pre-Trained Deep Neural Networks in Transfer Learning based on Separation Index

Mostafa Kalhor, Ahmad Kalhor, Mehdi Rahmani

Automated ranking of pre-trained Deep Neural Networks (DNNs) reduces the required time for selecting optimal pre-trained DNN and boost the classification performance in transfer le…

physics.ins-det2020★ 1 cited

Interstrip Capacitances of the Readout Board used in Large Triple-GEM Detectors for the CMS Muon Upgrade

M. Abbas, M. Abbrescia, H. Abdalla +178

We present analytical calculations, Finite Element Analysis modeling, and physical measurements of the interstrip capacitances for different potential strip geometries and dimensio…

physics.ins-det2017

Low-mass GEM detector with radial zigzag readout strips for forward tracking at the EIC

Marcus Hohlmann, Matthew Bomberger, Stefano Colafranceschi +3

We present design and construction of a large low-mass Triple-GEM detector prototype for forward tracking at a future Electron-Ion Collider. In this environment, multiple scatterin…