output
19932026
most citedMethods and results of an automatic analysis of a complete sample of Swift-XRT observations of GRBs

1.8k citations

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53 papers · 1 filter

astro-ph.IM2024★ 3 cited

ComPair-2: A Next Generation Medium Energy Gamma-ray Telescope Prototype

Regina Caputo, Carolyn Kierans, Nicholas Cannady +30

Many questions posed in the Astro2020 Decadal survey in both the New Messengers and New Physics and the Cosmic Ecosystems science themes require a gamma-ray mission with capabiliti…

math.DS2024

Correlation Number for Potentials with Entropy Gaps and Cusped Hitchin Representations

Lien-Yung Kao, Giuseppe Martone

We introduce a correlation number for two strictly positive, locally Hölder continuous, independent potentials with strong entropy gaps at infinity on a topologically mixing counta…

cs.PL2024★ 2 cited

Enabling the Verification and Formalization of Hybrid Quantum-Classical Computing with OpenQASM 3.0 compatible QASM-TS 2.0

Sean Kim, Marcus Edwards

The unique features of the hybrid quantum-classical computing model implied by the specification of OpenQASM 3.0 motivate new approaches to quantum program verification. We impleme…

astro-ph.HE2024

Numerical simulations of internal shocks in spherical geometry: hydrodynamics and prompt emission

A. Charlet, J. Granot, P. Beniamini

Among the models used to explain the prompt emission of gamma-ray bursts (GRBs), internal shocks is a leading one. Its most basic ingredient is a collision between two cold shells…

astro-ph.HE2024★ 20 cited

Detection of X-ray Emission from a Bright Long-Period Radio Transient

Ziteng Wang, Nanda Rea, Tong Bao +46

Recently, a class of long-period radio transients (LPTs) has been discovered, exhibiting emission on timescales thousands of times longer than radio pulsars. Several models had bee…

physics.chem-ph2024★ 25 cited

NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties

Ke Xu, Ting Liang, Nan Xu +5

Water's unique hydrogen-bonding network and anomalous properties pose significant challenges for accurately modeling its structural, thermodynamic, and transport behavior across va…

astro-ph.CO2024★ 2 cited

Dispersion Measures of Fast Radio Bursts through the Epoch of Reionization

Joshua J. Ziegler, Paul R. Shapiro, Taha Dawoodbhoy +13

Dispersion measures (DM) of fast radio bursts (FRBs) probe the density of electrons in the intergalactic medium (IGM) along their lines-of-sight, including the average density vers…

cs.CL2024★ 26 cited

Bias in Large Language Models: Origin, Evaluation, and Mitigation

Yufei Guo, Muzhe Guo, Juntao Su +5

Large Language Models (LLMs) have revolutionized natural language processing, but their susceptibility to biases poses significant challenges. This comprehensive review examines th…

nucl-ex2024★ 5 cited

First Measurement of Near- and Sub-Threshold Photoproduction off Nuclei

J. R. Pybus, L. Ehinger, T. Kolar +65

We report on the first measurement of photoproduction from nuclei in the photon energy range of to GeV, extending above and below the photoproduction threshold in…

astro-ph.IM2024★ 1 cited

The 2023 Balloon Flight of the ComPair Instrument

Lucas D. Smith, Nicholas Cannady, Regina Caputo +29

The ComPair balloon instrument is a prototype gamma-ray telescope that aims to further develop technology for observing the gamma-ray sky in the MeV regime. ComPair combines four d…

math.CO2024

Garsia--Remmel -rook numbers are not always unimodal

Joel Brewster Lewis, Alejandro H. Morales

We show by an explicit example that the Garsia--Remmel -rook numbers of Ferrers boards do not all have unimodal sequences of coefficients. This resolves in the negative a questi…

nucl-th2024

On Two Nucleons Near Unitarity with Perturbative Pions

Yu Ping Teng, Harald W. Griesshammer

We explore the impact of perturbative pions on the Unitarity Expansion in the two-nucleon S-waves of Chiral Effective Field Theory at next-to-next-to leading order. Pion exchange e…

astro-ph.IM2024★ 5 cited

Finding radio transients with anomaly detection and active learning based on volunteer classifications

Alex Andersson, Chris Lintott, Rob Fender +9

In this work we explore the applicability of unsupervised machine learning algorithms to finding radio transients. Facilities such as the Square Kilometre Array (SKA) will provide…

cond-mat.mtrl-sci2024★ 30 cited

Highly efficient path-integral molecular dynamics simulations with GPUMD using neuroevolution potentials: Case studies on thermal properties of materials

Penghua Ying, Wenjiang Zhou, Lucas Svensson +10

Path-integral molecular dynamics (PIMD) simulations are crucial for accurately capturing nuclear quantum effects in materials. However, their computational intensity and reliance o…

eess.IV2024★ 12 cited

Model Ensemble for Brain Tumor Segmentation in Magnetic Resonance Imaging

Daniel Capellán-Martín, Zhifan Jiang, Abhijeet Parida +8

Segmenting brain tumors in multi-parametric magnetic resonance imaging enables performing quantitative analysis in support of clinical trials and personalized patient care. This an…

cs.NI2024★ 6 cited

Digital Twin Enabled Data-Driven Approach for Traffic Efficiency and Software-Defined Vehicular Network Optimization

Mohammad Sajid Shahriar, Suresh Subramaniam, Motoharu Matsuura +2

In the realms of the internet of vehicles (IoV) and intelligent transportation systems (ITS), software defined vehicular networks (SDVN) and edge computing (EC) have emerged as pro…

cs.HC2024★ 2 cited

Enhancing Representation Learning of EEG Data with Masked Autoencoders

Yifei Zhou, Sitong Liu

Self-supervised learning has been a powerful training paradigm to facilitate representation learning. In this study, we design a masked autoencoder (MAE) to guide deep learning mod…

astro-ph.HE2024★ 2 cited

Features and prospects for kilonova remnant detection with current and future surveys

Sandeep Kumar Acharya, Paz Beniamini, Kenta Hotokezaka

We study the observable spectral and temporal properties of kilonova remnants (KNRs) analytically, and point out quantitative differences with respect to supernova remnants. We pro…

nucl-ex2024★ 2 cited

Measurement of the nucleon spin structure functions for 0.01<<1 GeV using CLAS

A. Deur, S. E. Kuhn, M. Ripani +147

The spin structure functions of the proton and the deuteron were measured during the EG4 experiment at Jefferson Lab in 2006. Data were collected for longitudinally polarized elect…

astro-ph.HE2024★ 5 cited

Extragalactic Magnetar Giant Flare GRB 231115A: Insights from Fermi/GBM Observations

Aaron C. Trigg, Rachael Stewart, Alex Van Kooten +22

We present the detection and analysis of GRB 231115A, a candidate extragalactic magnetar giant flare (MGF) observed by Fermi/GBM and localized by INTEGRAL to the starburst galaxy M…

cs.CR2024

DeTRAP: RISC-V Return Address Protection With Debug Triggers

Isaac Richter, Jie Zhou, John Criswell

Modern microcontroller software is often written in C/C++ and suffers from control-flow hijacking vulnerabilities. Previous mitigations suffer from high performance and memory over…

astro-ph.IM2024★ 1 cited

Key Science Goals for the Next Generation Very Large Array (ngVLA): Update from the ngVLA Science Advisory Council (2024)

David J. Wilner, Brenda C. Matthews, Brett McGuire +32

In 2017, the next generation Very Large Array (ngVLA) Science Advisory Council, together with the international astronomy community, developed a set of five Key Science Goals (KSGs…

physics.ins-det2024

The MUSE Beamline Calorimeter

W. Lin, T. Rostomyan, R. Gilman +40

The MUon Scattering Experiment (MUSE) was motivated by the proton radius puzzle arising from the discrepancy between muonic hydrogen spectroscopy and electron-proton measurements.…

cs.CL2024★ 1 cited

mhGPT: A Lightweight Generative Pre-Trained Transformer for Mental Health Text Analysis

Dae-young Kim, Rebecca Hwa, Muhammad Mahbubur Rahman

This paper introduces mhGPT, a lightweight generative pre-trained transformer trained on mental health-related social media and PubMed articles. Fine-tuned for specific mental heal…