output
20022026
most citedGravitational Waves and Gamma-rays from a Binary Neutron Star Merger: GW170817 and GRB 170817A

3.6k citations

Showing 2026Show all

12 papers · 1 filter

astro-ph.HE2026

Revisiting EBL Constraints from Gamma-Ray Observations: A Critical Assessment and Methodological Improvements

K. Abe, S. Abe, J. Abhir +185

The extragalactic background light (EBL), ranging from the infrared to the ultraviolet bands, is the second most intense photon field in the universe, surpassed only by the cosmic…

astro-ph.HE2026

Constraints on the VHE counterpart of two binary black hole mergers observed by the MAGIC and CTAO LST-1 telescopes

K. Abe, S. Abe, J. Abhir +358

We present very-high-energy gamma-ray observations of two binary black hole merger candidates, GW240615_113620 and GW241125_010116, performed with the Major Atmospheric Gamma Imagi…

cs.LO2026

Declarative Problem Solving in UAM Strategic Deconfliction

Gioacchino Sterlicchio, Angelo Oddi, Riccardo Rasconi +1

The growing demand for Urban Air Mobility (UAM) introduces significant challenges in airspace management, particularly within densely populated metropolitan regions. As the number…

astro-ph.IM2026

The Amerigo Vespucci as a traveling laboratory for studying the cosmic-ray fluxes at sea level

Davide Cerasole, Federica Cuna, Gaia De Palma +13

We have installed and operated a plastic scintillator detector counter to measure the flux of cosmic radiation during the 2023-2025 tour of the historical vessel Amerigo Vespucci.…

astro-ph.HE2026

Exploring the nature of Galactic unassociated sources detected by the Fermi-LAT

F. Acero, A. Acharyya, A. Adelfio +120

We investigate the nature of the unassociated sources detected by the Fermi-LAT close (|b|<10°) to the Galactic plane, representing 16% of all sources in the 4FGL-DR4 catalog. The…

cs.AI2026

Multi-Dimensional Evaluation of Sustainable City Trips with LLM-as-a-Judge and Human-in-the-Loop

Ashmi Banerjee, Adithi Satish, Wolfgang Wörndl +1

Evaluating nuanced conversational travel recommendations is challenging when human annotations are costly and standard metrics ignore stakeholder-centric goals. We study LLMs-as-Ju…