61 citations · 319 across the 17 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…
The ObsMode 2020 Process
Satoko Takahashi, Edward B. Fomalont, Yoshiharu Asaki +11
ObsMode is a yearly process which aims at preparing capabilities for future ALMA Observing cycles. The process has been running for a number of years tied to each ALMA observing cy…
ALMA High-frequency Long-baseline Campaign in 2017: A Comparison of the Band-to-band and In-band Phase Calibration Techniques and Phase-calibrator Separation Angles
Luke T. Maud, Yoshiharu Asaki, Edward B. Fomalont +9
The Atacama Large millimeter/submillimeter Array (ALMA) obtains spatial resolutions of 15 to 5 milli-arcsecond (mas) at 275-950GHz (0.87-0.32mm) with 16km baselines. Calibration at…
ALMA Band-to-band Phase Referencing: Imaging Capabilities on Long Baselines and High Frequencies
Yoshiharu Asaki, Luke T. Maud, Edward B. Fomalont +8
High-frequency long-baseline experiments with the Atacama Large Millimeter/submillimeter Array were organized to test the high angular resolution imaging capabilities in the submil…