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From the 3 of 3 papers with an AI index.

most citedInvestigating the Dark Energy Constraint from Strongly Lensed AGN at LSST-Scale

2 citations

6 papers

astro-ph.EP2026

University of Hawaii 88-inch Telescope Observations of the Interstellar Comet 3I/ATLAS: Spectrophotometric Blue-Sensitive Spectral Time Series Spanning Two Months from Discovery

W. B. Hoogendam, D. Kuesters, B. J. Shappee +22

The paper presents blue‑sensitive spectrophotometric observations of the interstellar comet 3I/ATLAS over two months, reporting its early UV spectrum, variable spectral slopes, com…

astro-ph.CO20262 cited

Investigating the Dark Energy Constraint from Strongly Lensed AGN at LSST-Scale

Sydney Erickson, Martin Millon, Padmavathi Venkatraman +12

The paper presents a scalable hierarchical inference framework to jointly analyze hundreds of strongly lensed AGN time delays from LSST, forecasting a ~2.5% measurement of H0 and a…

astro-ph.CO2026

On combining estimated and analytic covariance matrices

Alan Heavens, Lorne Whiteway, Elena Sellentin

The paper derives an accurate multivariate Student‑t approximation for likelihoods that combine covariance matrices estimated from simulations with additional Gaussian error contri…

astro-ph.HE2026

Idealized Global Models of Accretion Disks with Strong Toroidal Magnetic Fields

Minghao Guo, Eliot Quataert, Jonathan Squire +2

We present global magnetohydrodynamic (MHD) simulations of idealized accretion disks with a strong toroidal magnetic field using an equation of state that fixes the gas thermal sca…

astro-ph.GA2026

Interpretable machine learning of halo gas density profiles: a sensitivity analysis of cosmological hydrodynamical simulations

Daniele Sorini, Sownak Bose, Mathilda Denison +1

Stellar and AGN-driven feedback processes affect the distribution of gas on a wide range of scales, from within galaxies well into the intergalactic medium. Yet, it remains unclear…

astro-ph.GA2026

Black Hole Feedback, Galaxy Quenching and Outflows at Cosmic Dawn: Analysis of the SEEDZ Simulations

Lewis R. Prole, John A. Regan, Daxal Mehta +13

Here we analyse the growth and feedback effects of massive black holes (MBHs) in the SEEDZ simulations. The most massive black holes grow to masses of M by $z=…