3 papers
astro-ph.GA2025
Bayesian luminosity function estimation in multi-depth datasets with selection effects: A case study for Lyman emitters
Davide Tornotti, Matteo Fossati, Michele Fumagalli +3
We present a hierarchical Bayesian framework designed to infer the luminosity function of any class of object by jointly modelling data from multiple surveys with varying depth, co…
astro-ph.GA2024
The MUSE Ultra Deep Field: A 5 Mpc stretch of the z 4 cosmic web revealed in emission
Davide Tornotti, Michele Fumagalli, Matteo Fossati +7
We detect Ly emission from a ~5 Mpc-long (comoving) portion of the cosmic web hosting an overdensity () of 19 Ly emitters (LAEs) at within the MUSE…
astro-ph.GA2024
The MUSE Ultra Deep Field (MUDF) VII. Probing high-redshift gas structures in the surroundings of ALMA-identified massive dusty galaxies
A. Pensabene, M. Galbiati, M. Fumagalli +12
We present new ALMA continuum and spectral observations of the MUSE Ultra Deep Field (MUDF), a arcmin region with ultradeep multiwavelength imaging and spectroscopy…