1 citations · 3 across the 10 of their papers we have counts for
12 papers
Parnassus for the CLD Detector: A Generative Machine-Learning Surrogate for Detector Simulation and Reconstruction at the FCC-ee
Umar Sohail Qureshi, Benjamin Nachman, Caterina Vernieri
Detector simulation and event reconstruction will be computationally expensive for future collider programs and are currently critical bottlenecks for accurate feasibility…
Dffusion: Capturing the Beam-Beam Physics of Collisions with Diffusion Models
Antonio Chahine, Mariarosaria D'Alfonso, Jan Eysermans +10
Beam-induced backgrounds at high-luminosity colliders, such as the FCC-ee, are dominated by incoherent pair creation (IPC), and require computationally expensive simulatio…
Reweighting Adversarial Networks for Unbinned Unfolding
Umar Sohail Qureshi, Krish Desai, Jesse Thaler +1
Differential cross sections are the currency of scientific exchange in particle and nuclear physics. Recently, machine learning methods have enabled unbinned and high-dimensional c…
Higgs Physics with the XFEL Compton Collider Concept at GeV
Umar Sohail Qureshi, Tim Barklow, Ariel Schwartzman
We investigate single Higgs production in GeV collisions at the X-Ray Free Electron (XFEL) Compton Collider (XCC) concept and present an analysis targeting the…
Probing the Higgs Self-Coupling with an XFEL Compton Collider at GeV
Santiago Ampudia Castelazo, Umar Sohail Qureshi, Tim Barklow +1
We present a study probing the Higgs self-coupling with the X-ray free-electron laser Compton Collider (XCC) concept. The analysis is performed considering the $γγ\to HH \to b…
PanopTag: Simultaneously Tagging All Jets in a Particle Collision Event
Umar Sohail Qureshi, Brendon Bullard, Ariel Schwartzman
Jet tagging, identifying the origin of jets produced in particle collisions, is a critical classification task in high-energy physics. Despite the revolutionary impact of deep lear…
Deep Image Reconstruction for Background Subtraction in Heavy-Ion Collisions
Umar Sohail Qureshi, Raghav Kunnawalkam Elayavalli
Jet reconstruction in an ultra-relativistic heavy-ion collision suffers from a notoriously large, fluctuating thermal background. Traditional background subtraction methods struggl…
Probing a Quarkophobic at the High-Luminosity LHC via Vector Boson Fusion and Lorentz-Equivariant Point Cloud Learning
U. S. Qureshi, A. Gurrola, J. D. Ruiz-Álvarez
The addition of a heavy charged vector gauge boson to the Standard Model (SM) with negligible quark couplings ("quarkophobic") and triple gauge couplings can…
Model-Agnostic Tagging of Quenched Jets in Heavy-Ion Collisions
Umar Sohail Qureshi, Raghav Kunnawalkam Elayavalli
Measurements of jet substructure in ultra-relativistic heavy-ion collisions indicate that interactions with the quark-gluon plasma quench the jet showering process. Modern data-dri…
A New Herwig7 Underlying Event Tune: from RHIC to LHC Energies
Umar Sohail Qureshi, Raghav Kunnawalkam Elayavalli, Luke Mozarsky +2
We present parameter sets corresponding to new underlying event tunes for the Herwig7.3 Monte Carlo event generator. The existing Herwig tunes are in good agreement with LHC data,…
Probing Compressed Mass Spectrum Supersymmetry at the LHC with the Vector Boson Fusion Topology
Umar Sohail Qureshi, Alfredo Gurrola, Andres Flórez
We present a phenomenology study probing pair production of supersymmetric charginos and neutralinos ("electroweakinos") with the vector boson fusion (VBF) topology in proton-proto…
Probing Light Scalars and Vector-like Quarks at the High-Luminosity LHC
Umar Sohail Qureshi, Andres Flórez, Alfredo Gurrola +1
A model based on a extension of the Standard Model can address the mass hierarchy between generations of fermions, explain thermal dark matter abundance, and the muo…