activity
20112026
most citedPerformance of missing transverse momentum reconstruction with the ATLAS detector using proton-proton collisions at = 13 TeV

331 citations · 4.4k across the 107 of their papers we have counts for

collaborators

109 papers

nucl-ex2026

ePIC Early Science Report

D. Abbott, N. Abdelrahman, S. Abhijit +781

This Early Science Report from the ePIC Collaboration outlines the compelling physics program achievable during the first years of operation of the Electron-Ion Collider (EIC), pri…

hep-ex2026

Electro- and photoproduction of muon pairs with CLAS12: Double Deeply Virtual Compton Scattering, Timelike Compton Scattering, and production

J. S. Alvarado, N. Baltzell, M. Bondi +98

The CEBAF Large Acceptance Spectrometer for operation at 12 GeV (CLAS12) at the Thomas Jefferson National Accelerator Facility has played a central role in advancing the understand…

hep-ph2026

Precision QCD with the Electron-Ion Collider

C. Alexandrou, M. Arratia, E. C. Aschenauer +66

This document summarizes the discussions at the program "Precision QCD with the Electron Ion Collider", held from May to June 2025 at the Institute for Nuclear Theory (INT) at the…

physics.ins-det2026

Beam Test of a SiPM-on-Tile ZDC Prototype with 5.3 GeV Positrons at Jefferson Laboratory

Sean Preins, Weibin Zhang, Ryan Tsiao +4

We report on a beam test of a Silicon Photo-Multiplier (SiPM)-on-tile Zero Degree Calorimeter (ZDC) prototype developed for the future Electron-Ion Collider (EIC). The detector imp…

physics.ins-det2025

Calibration of an Irradiated Prototype for the EIC Zero-Degree Calorimeter

Weibin Zhang, Xilin Liang, Sean Preins +1

We study the response of a prototype Zero-Degree Calorimeter (ZDC) detector to irradiation equivalent to 10 1-MeV , which matches the expected e…

nucl-ex2025

First Study of the Nuclear Response to Fast Hadrons via Angular Correlations between Pions and Slow Protons in Electron-Nucleus Scattering

S. J. Paul, M. Arratia, H. Hakobyan +127

We report on the first measurement of angular correlations between high-energy pions and slow protons in electron-nucleus () scattering, providing a new probe of how a nucleus…

physics.ins-det2025

A borehole muon detector with SiPM-on-tile technology

Miguel Arratia, Jiajun Huang, Sean Preins +3

We developed a compact and rugged muon detector designed for deployment in boreholes. The detector uses a SiPM-on-tile approach in which silicon photomultipliers are directly coupl…

hep-ph2025★ 1 cited

Tools for Unbinned Unfolding

Ryan Milton, Vinicius Mikuni, Trevin Lee +3

Machine learning has enabled differential cross section measurements that are not discretized. Going beyond the traditional histogram-based paradigm, these unbinned unfolding metho…

physics.ins-det2025

Measurement of SiPM Dark Currents and Annealing Recovery for Fluences Expected in ePIC Calorimeters at the Electron-Ion Collider

Jiajun Huang, Sean Preins, Ryan Tsiao +3

Silicon photomultipliers (SiPMs) will be used to read out all calorimeters in the ePIC experiment at the Electron-Ion Collider (EIC). A thorough characterization of the radiation d…

astro-ph.IM2025★ 1 cited

The CONDOR Observatory: A Gamma-Ray Observatory with a 100 GeV Threshold at 5300 Meters Above Sea Level

Miguel Arratia, Will Brooks, Jiajun Huang +8

We present the design of the Compact Network of Detectors with Orbital Range (CONDOR), a proposed high-altitude gamma-ray and cosmic-ray (CR) observatory set to become the highest…

physics.ins-det2025★ 2 cited

First-Ever Deployment of a SiPM-on-Tile Calorimeter in a Collider: A Parasitic Test with 200 GeV Collisions at RHIC

Weibin Zhang, Sean Preins, Jiajun Huang +7

We describe the testing of a prototype SiPM-on-tile iron-scintillator calorimeter at the Relativistic Heavy Ion Collider (RHIC) during its 200 GeV run in 2024. The prototype,…

hep-ex2024★ 4 cited

Machine Learning-Assisted Measurement of Lepton-Jet Azimuthal Angular Asymmetries in Deep-Inelastic Scattering at HERA

The H1 collaboration, V. Andreev, M. Arratia +141

In deep-inelastic positron-proton scattering, the lepton-jet azimuthal angular asymmetry is measured using data collected with the H1 detector at HERA. When the average transverse…

nucl-ex2024

Feasibility Study of Measuring Using a High-Granularity Zero-Degree Calorimeter at the Future Electron-Ion Collider

Sebouh J. Paul, Ryan Milton, Sebastián Morán +2

Key measurements at the future Electron-Ion Collider (EIC), including first-of-their-kind studies of kaon structure, require the detection of at forward angles. We present a…

nucl-ex2024

Dihadron Azimuthal Correlations in Deep-Inelastic Scattering Off Nuclear Targets

CLAS Collaboration

We measured the nuclear dependence of the di-pion azimuthal correlation function in deep-inelastic scattering (DIS) using the CEBAF Large Acceptance Spectrometer (CLAS) and a 5 GeV…

physics.ins-det2024★ 5 cited

Design of a SiPM-on-Tile ZDC for the future EIC and its Performance with Graph Neural Networks

Ryan Milton, Sebouh J. Paul, Barak Schmookler +5

We present a design for a high-granularity zero-degree calorimeter (ZDC) for the upcoming Electron-Ion Collider (EIC). The design uses SiPM-on-tile technology and features a novel…

nucl-ex2024

Letter of Intent: Open Charm at JLab with the sPHENIX MAPS tracker

Miguel Arratia, Sebouh J. Paul, Yuri Gotra +2

We propose a physics program at JLab with CLAS12 focusing on open-charm measurements, aiming to complement and expand current studies of at (sub) threshold. This program will…

hep-ex2024

Measurement of the 1-jettiness event shape observable in deep-inelastic electron-proton scattering at HERA

The H1 collaboration, V. Andreev, M. Arratia +146

The H1 Collaboration reports the first measurement of the 1-jettiness event shape observable in neutral-current deep-inelastic electron-proton scattering (DIS). The observa…

hep-ex2024★ 6 cited

Measurement of groomed event shape observables in deep-inelastic electron-proton scattering at HERA

The H1 collaboration, V. Andreev, M. Arratia +145

The H1 Collaboration at HERA reports the first measurement of groomed event shape observables in deep inelastic electron-proton scattering (DIS) at GeV, using data r…

hep-ex2024★ 5 cited

Observation and differential cross section measurement of neutral current DIS events with an empty hemisphere in the Breit frame

The H1 collaboration, V. Andreev, M. Arratia +146

The Breit frame provides a natural frame to analyze lepton-proton scattering events. In this reference frame, the parton model hard interactions between a quark and an exchanged bo…

nucl-ex2024

On the significance of radiative corrections on measurements of the EMC effect

S. Moran, M. Arratia, J. Arrington +2

Analyzing global data on the EMC effect, which denotes differences in parton distribution functions in nuclei compared to unbound nucleons, reveals tensions. Precise measurements a…

physics.ins-det2023★ 1 cited

The Optimal use of Segmentation for Sampling Calorimeters

Fernando Torales Acosta, Bishnu Karki, Piyush Karande +7

One of the key design choices of any sampling calorimeter is how fine to make the longitudinal and transverse segmentation. To inform this choice, we study the impact of calorimete…

physics.ins-det2023★ 4 cited

Beam Test of the First Prototype of SiPM-on-Tile Calorimeter Insert for the Electron-Ion Collider Using 4 GeV Positrons at Jefferson Laboratory

Miguel Arratia, Bruce Bagby, Peter Carney +6

We recently proposed a high-granularity calorimeter insert for the Electron-Ion Collider (EIC) that uses plastic scintillator tiles read out by SiPMs. Among its innovative features…

physics.ins-det2023★ 4 cited

Leveraging Staggered Tessellation for Enhanced Spatial Resolution in High-Granularity Calorimeters

Sebouh J. Paul, Miguel Arratia

We advance the concept of high-granularity calorimeters with staggered tessellations, underscoring the effectiveness of a design incorporating multifold staggering cycles based on…

cs.LG2023★ 2 cited

Comparison of Point Cloud and Image-based Models for Calorimeter Fast Simulation

Fernando Torales Acosta, Vinicius Mikuni, Benjamin Nachman +5

Score based generative models are a new class of generative models that have been shown to accurately generate high dimensional calorimeter datasets. Recent advances in generative…