activity
20242026
most citedDESI 2024 V: Full-Shape Galaxy Clustering from Galaxies and Quasars

68 citations · 97 across the 11 of their papers we have counts for

collaborators
Showing astro-ph.GAShow all

7 papers · 1 filter

astro-ph.GA2026

Peering down the barrel with DESI DR2: 10 000+ inflows at < 0.6 reveal how galaxies accrete cold gas

S. Weng, A. Saintonge, M. Pieri +39

Direct observational constraints on how galaxies acquire their gas remain remarkably limited, hindering our understanding of the baryon cycle. We present a search for down-the-barr…

astro-ph.GA2026

Finding Halos in the Lyman- forest I. Introducing a hierarchical absorption framework

Duarte Muñoz Santos, Matthew M. Pieri, Dylan Nelson +3

It has been demonstrated that one can track down galaxies in absorption 'hidden' in the Lyman- forest through the use of 'strong, blended Lyman-' (or SBLA) absorption. Spec…

astro-ph.GA2026

The Synthetic Absorption Line Spectral Almanac (SALSA)

Dylan Nelson, Celine Peroux, Philipp Richter +10

We create the first large-scale mock spectroscopic survey of gas absorption sightlines traversing the interstellar medium (ISM), circumgalactic medium (CGM), and intergalactic medi…

astro-ph.GA2026

MUSE Analysis of Gas around Galaxies (MAGG) -- VII. Emission line galaxies near strong blended Ly absorption systems at

Marta Galbiati, Davide Tornotti, Michele Fumagalli +2

We investigate the connection between strong, blended Ly absorption systems (SBLAs) and Ly emitting galaxies (LAEs) at in 28 quasar fields from th…

astro-ph.GA2026

OJALÁ: Optimizing J-PAS Astronomy for Large-scale Analysis. A foundation model for the SED of galaxies, QSOs and stars

G. Martínez-Solaeche, R. M. González Delgado, R. García-Benito +37

The advent of large-scale surveys requires efficient ML techniques to exploit the information of massive datasets. We present OJALA, a transformer-based autoregressive foundation m…

astro-ph.GA2025

Automated quasar continuum estimation using neural networks: a comparative study of deep-learning architectures

Francesco Pistis, Michele Fumagalli, Matteo Fossati +13

Context. Ongoing and upcoming large spectroscopic surveys are drastically increasing the number of observed quasar spectra, requiring the development of fast and accurate automated…