output
19962026
most citedA systematic variation of the stellar initial mass function in early-type galaxies

613 citations

Showing astro-ph.IMShow all

10 papers · 1 filter

astro-ph.IM2025★ 2 cited

Communicating astrobiology and the search for life elsewhere: speculations and promises of a developing scientific field in newspapers, press releases and papers

Danilo Albergaria, Pedro Russo, Ionica Smeets +2

This study examines the communication of astrobiology and the Search for Life Elsewhere (SLE) in academic papers, press releases, and news articles over three decades. Through a qu…

astro-ph.IM2025

The Gaia Astrometric Catalogue and Secular Aberration Drift in Proper Motions

Anthony G. A. Brown, Ulrich Bastian, Sergei Klioner

A recent paper demonstrated the existence of a secular aberration drift term in stellar proper motions that arises when transforming an astrometric catalogue defined for an observe…

astro-ph.IM2025

The X-ray Integral Field Unit at the end of the Athena reformulation phase

Philippe Peille, Didier Barret, Edoardo Cucchetti +279

The Athena mission entered a redefinition phase in July 2022, driven by the imperative to reduce the mission cost at completion for the European Space Agency below an acceptable ta…

astro-ph.IM2022★ 6 cited

PACMAN: A pipeline to reduce and analyze Hubble Wide Field Camera 3 IR Grism data

Sebastian Zieba, Laura Kreidberg

Here we present PACMAN, an end-to-end pipeline developed to reduce and analyze HST/WFC3 data. The pipeline includes both spectral extraction and light curve fitting. The foundation…

astro-ph.IM2022★ 181 cited

Gaia Data Release 3: External calibration of BP/RP low-resolution spectroscopic data

P. Montegriffo, F. De Angeli, R. Andrae +46

Context. Gaia Data Release 3 contains astrometry and photometry results for about 1.8 billion sources based on observations collected by the European Space Agency (ESA) Gaia satell…

astro-ph.IM2022★ 5 cited

Bayesian error propagation for neural-net based parameter inference

Daniela Grandón, Elena Sellentin

Neural nets have become popular to accelerate parameter inferences, especially for the upcoming generation of galaxy surveys in cosmology. As neural nets are approximative by natur…