140 citations · 180 across the 5 of their papers we have counts for
7 papers
Easy asteroid phase curve fitting for the Python ecosystem: Pyedra
Milagros Colazo, Juan Cabral, Martin Chalela +1
A trending astronomical phenomenon to study is the variation in brightness of asteroids, caused by its rotation on its own axis, non-spherical shapes, changes of albedo along its s…
Astroalign: A Python module for astronomical image registration
Martin Beroiz, Juan B. Cabral, Bruno Sanchez
We present an algorithm implemented in the astroalign Python module for image registration in astronomy. Our module does not rely on WCS information and instead matches 3-point ast…
TOROS Optical follow-up of the Advanced LIGO-VIRGO O2 second observational campaign
Rodolfo Artola, Martin Beroiz, Juan Cabral +48
We present the results of the optical follow-up, conducted by the TOROS collaboration, of gravitational wave events detected during the Advanced LIGO-Virgo second observing run (No…
Machine Learning on Difference Image Analysis: A comparison of methods for transient detection
B. Sánchez, M. J. Domínguez R., M. Lares +12
We present a comparison of several Difference Image Analysis (DIA) techniques, in combination with Machine Learning (ML) algorithms, applied to the identification of optical transi…
From FATS to feets: Further improvements to an astronomical feature extraction tool based on machine learning
J. B. Cabral, B. Sánchez, F. Ramos +3
Machine learning algorithms are highly useful for the classification of time series data in astronomy in this era of peta-scale public survey data releases. These methods can facil…
Observations of the first electromagnetic counterpart to a gravitational wave source by the TOROS collaboration
M. C. Díaz, L. M. Macri, D. Garcia Lambas +52
We present the results of prompt optical follow-up of the electromagnetic counterpart of the gravitational-wave event GW170817 by the Transient Optical Robotic Observatory of the S…