540 citations · 1.1k across the 17 of their papers we have counts for
17 papers
ALMACAL. XV. Band 3 ALMA Survey and Number Counts
Matteo Bonato, Ivano Baronchelli, Gianfranco De Zotti +10
The ALMACAL project leverages ALMA maps of calibrator-centered fields to conduct deep mm/sub-mm surveys, enabling the detection of extragalactic sources with flux densities orders…
ALMA Deep Field in SSA22: Reconstructed [CII] Luminosity Function at z = 6
Natsuki H. Hayatsu, Rob J. Ivison, Paola Andreani +19
The ADF22 line survey reported detections of two high- line-emitting source candidates above 6-, both of which were shown to be spurious after follow-up observations. We inve…
A BRAIN study to tackle image analysis with artificial intelligence in the ALMA 2030 era
Fabrizia Guglielmetti, Michele Delli Veneri, Ivano Baronchelli +9
An ESO internal ALMA development study, BRAIN, is addressing the ill-posed inverse problem of synthesis image analysis employing astrostatistics and astroinformatics. These emergin…
3D Detection and Characterisation of ALMA Sources through Deep Learning
Michele Delli Veneri, Lukasz Tychoniec, Fabrizia Guglielmetti +2
We present a Deep-Learning (DL) pipeline developed for the detection and characterization of astronomical sources within simulated Atacama Large Millimeter/submillimeter Array (ALM…
Bayesian statistics approach to imaging of aperture synthesis data: RESOLVE meets ALMA
Łukasz Tychoniec, Fabrizia Guglielmetti, Philipp Arras +2
The Atacama Large Millimeter/submillimeter Array (ALMA) is currently revolutionizing observational astrophysics. The aperture synthesis technique provides angular resolution otherw…
Bayesian and Machine Learning Methods in the Big Data era for astronomical imaging
Fabrizia Guglielmetti, Philipp Arras, Michele Delli Veneri +4
The Atacama Large Millimeter/submillimeter Array with the planned electronic upgrades will deliver an unprecedented amount of deep and high resolution observations. Wider fields of…