131 citations · 858 across the 28 of their papers we have counts for
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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…
ALMA imaging of the cold molecular and dusty disk in the type 2 active nucleus of the Circinus galaxy
Konrad R. W. Tristram, C. M. Violette Impellizzeri, Zhi-Yu Zhang +9
We aim to shed light on the physical properties and kinematics of the molecular material in the nucleus of one of the closest type 2 active galaxies. To this end, we obtained high…