activity
20172021
most citedObservations of the first electromagnetic counterpart to a gravitational wave source by the TOROS collaboration

140 citations · 142 across the 6 of their papers we have counts for

collaborators
Showing astro-ph.IMShow all

7 papers · 1 filter

astro-ph.IM2021

SCORPIO, a package for the visualization of galaxy pairs

Jose A. Benavides, Martín Chalela, Juan B. Cabral +2

We present the description of the project \texttt{SCORPIO}, a Python package for retrieving images and associated data of galaxy pairs based on their position, facilitating visual…

astro-ph.IM2021

Being nice to the server: Wrapping a REST API for a cosmological distance/velocity calculator with Python

Juan Cabral, Ehsan Kourkchi, Martin Beroiz +2

In this paper we present PyCF3, a python client for the cosmological distance-velocity calculator CosmicFlow-3. The project has a cache and retry system designed with the objective…

astro-ph.IM20211 cited

Drifting Features: Detection and evaluation in the context of automatic RRLs identification in VVV

J. B. Cabral, M. Lares, S. Gurovich +2

As most of the modern astronomical sky surveys produce data faster than humans can analyze it, Machine Learning (ML) has become a central tool in Astronomy. Modern ML methods can b…

astro-ph.IM2019

GriSPy: A Python package for Fixed-Radius Nearest Neighbors Search

Martin Chalela, Emanuel Sillero, Luis Pereyra +4

We present a new regular grid search algorithm for quick fixed-radius nearest-neighbor lookup developed in Python. This module indexes a set of k-dimensional points in a regular gr…

astro-ph.IM2019

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…

astro-ph.IM2018

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…