output
20022026
most citedGW170817: Observation of Gravitational Waves from a Binary Neutron Star Inspiral

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10 papers · 1 filter

astro-ph.IM2026

Imaging X-ray Polarimetry Explorer

Brian Ramsey, Paolo Soffitta, Martin C. Weisskopf

In 1971 a group from Columbia University detected polarized X rays from the Crab Nebula at about 3 sigma level during a short sounding rocket flight (Novick et al. (1972)). This me…

astro-ph.HE2026

X-ray polarization of Z-type neutron star low-mass X-ray binaries -- II. Spectropolarimetric analysis

Andrea Gnarini, Francesco Ursini, Giorgio Matt +8

IXPE has provided for the first time detailed energy- and time-resolved X-ray polarimetry of Z-type neutron star low-mass X-ray binaries (NS-LMXBs) as they move along their color-c…

astro-ph.HE2026

General Relativistic Shock Wave Solutions with Black Hole Formation: The Singular Isothermal Sphere Case

Chien-Ting J. Chen, Michael J. Cai, Fabio Pacucci

The rapid emergence at of ubiquitous populations of supermassive black holes (SMBHs) revealed by JWST and of quasars with estimated masses $M_\bullet > 10^{10} M_\odot…

astro-ph.HE2026

Science of High Resolution X-ray Imaging

H. L. Marshall, K. Weaver, M. Schattenburg +34

This report summarizes potential studies of the Hi-ReX Science Analysis Group for an Ultra-High Angular Resolution X-ray Observatory. Many potential science cases are presented, sp…

astro-ph.SR2026

A Statistical Survey of Faint Solar X-ray Transients Observed by NuSTAR

Reed B. Masek, Lindsay Glesener, Jessie Duncan +14

In this paper, we use a highly sensitive telescope to characterize solar X-ray transients ranging from microflares in active regions down to weakly energetic brightenings in the qu…

cs.AI2026

Collaborative Agent Reasoning Engineering (CARE): A Three-Party Design Methodology for Systematically Engineering AI Agents with Subject Matter Experts, Developers, and Helper Agents

Rahul Ramachandran, Nidhi Jha, Muthukumaran Ramasubramanian

We present Collaborative Agent Reasoning Engineering (CARE), a disciplined methodology for engineering Large Language Model (LLM) agents in scientific domains. Unlike ad-hoc trial-…