21 papers
Estimation of distribution functions, their jumps and interval probabilities under measurement error
Kairat Mynbaev, Carlos Martins-Filho, Chad Brown
We consider the classical additive measurement-error model , where the latent random variable has unknown distribution and the error has a known distribution.…
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…
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…
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…
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…
OJALÃ: Optimizing J-PAS Astronomy for Large-scale Analysis. A foundation model for the SED of galaxies, QSOs and stars
G. MartÃnez-Solaeche, R. M. González Delgado, R. GarcÃa-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…