Juan Bautista Cabral

National Scientific and Technical Research Council | conicet · IATE - Instituto de Astronomía Téorico y Experimental

Modern in-orbit satellites and other available remote sensing tools have generated a huge availability of public data waiting to be exploited in different formats hosted on different servers. In this context, ETL formalism becomes relevant for the integration and analysis of the combined information from all these sources. Throughout this work, we...

Muchos temas de la Astronomía moderna se caracterizan por la identificación de características en imágenes. Si bien esta es una tarea fácil para un ojo entrenado, es difícil obtener la misma calidad al realizarse mediante modelos o métodos numéricos. Esto ha conducido a la cooperación entre equipos de investigación y la ciudadanía tiene una larga h...

A trending astronomical phenomenon is the variation in brightness of asteroids. This can be caused by its rotation on its own axis and/or its position relative to the sun. The latter behavior can be visualized on a phase curve, which shows the reduced magnitude as a function of the phase angle. To enable the comparison between several models for th...

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 analysis and data collation of multiple archetypal systems. The code ingests information from SDSS, 2MASS, and WISE surveys based on the available bands and is designed f...

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 of reducing the stress on the server and mitigating the waiting times of the users in the calculations. We also address Quality Assurance code standards and availability...

In recent years, cryptocurrencies have gone from an obscure niche to a prominent place, with investment in these assets becoming increasingly popular. However, cryptocurrencies carry a high risk due to their high volatility. In this paper, criteria based on historical cryptocurrency data are defined in order to characterize returns and risks in dif...

The availability of fast to evaluate and reliable predictive models is highly relevant in multi-query scenarios where evaluating some quantities in real, or near-real-time becomes crucial. As a result, reduced-order modelling techniques have gained traction in many areas in recent years. We introduce Arby, an entirely data-driven Python package for...

Context. As most of the modern astronomical sky surveys produce data faster than humans can analyse it, machine learning (ML) has become a central tool in astronomy. Modern ML methods can be characterised as highly resistant to some experimental errors. However, small changes in the data over long angular distances or long periods of time, which ca...

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 be characterized as highly resistant to some experimental errors. However, small changes on the data over long distances or long periods of time, which cannot be easily de...

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 surface and its position relative to the sun. The latter behaviour can be visualized on a "Phase Curve" (phase angle vs. reduced magnitude). To enable the comparison betwe...

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 grid, with optional periodic conditions, providing a fast approach for nearest neighbors queries. In this first installment, we provide three types of queries: bubble, shel...

Difference Image Analysis and image co-addition are key time-domain astronomy tasks and the latest techniques are usually implemented as components of larger pipeline software frameworks. This work presents two standalone software projects that deliver simple to use state of the art image subtraction and addition implementations. As a strong key po...

Context. The creation of a 3D map of the bulge using RR Lyrae (RRL) is one of the main goals of the VISTA Variables in the Via Lactea Survey (VVV) and VVV(X) surveys. The overwhelming number of sources undergoing analysis undoubtedly requires the use of automatic procedures. In this context, previous studies have introduced the use of machine learn...

The creation of a 3D map of the bulge using RRLyrae (RRL) is one of the main goals of the VVV(X) surveys. The overwhelming number of sources under analysis request the use of automatic procedures. In this context, previous works introduced the use of Machine Learning (ML) methods for the variable star classification. Our goal is the development and...

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 three-point asterisms (triangles) on the images to find the most accurate linear transformation between them. It is especially useful in the context of aligning images prior to stac...

We present the methods and results of the optical follow-up, conducted by the Transient Optical Robotic Observatory of the South Collaboration, of gravitational wave events detected during the Advanced LIGO–Virgo second observing run (2016 November–2017 August). Given the limited field of view (∼100 arcmin) of our observational instrumentation, we...

Base de datos de infecciones por COVID-19 en la republica Argentina, segmentado por provincia y por fecha

There is a lack of blazar detections in the galactic plane area, even in the most recent blazar catalogues, mainly due to incompleteness resulting from interstellar dust and stellar contamination of our Galaxy. The VISTA Variables in the Vía Láctea survey (VVV) aims to map variable sources towards the galactic plane in the near-infrared (IR). There...

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 grid, with optional periodic conditions, providing a fast approach for nearest neighbors queries. In this first installment we provide three types of queries: $bubble$, $sh...

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 asterisms (triangles) on the images to find the most accurate linear transformation between the two. It is especially useful in the context of aligning images prior to stack...

Collaborative Product Development and Co-Design are widely used concepts in organizations, especially in the areas that involve design and manufacturing assists CAD / CAM computer tido. The evolution of web technologies has allowed the collaboration between geographically dispersed people, from different fields of expertise zación and even without...

We present a comparison of several Difference Image Analysis (DIA) techniques, in combination with Machine Learning (ML) algorithms, applied to the identification of optical transients associated with gravitational wave events. Each technique is assessed based on the scoring metrics of Precision, Recall, and their harmonic mean F1, measured on the...

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 (Nov 2016 -- Aug 2017). Given the limited field of view ($\sim100\arcmin$) of our observational instrumentation we targeted galaxies within the area of high localization pro...

We present a comparison of several Difference Image Analysis (DIA) techniques, in combination with Machine Learning (ML) algorithms, applied to the identification of optical transients associated with gravitational wave events. Each technique is assessed based on the scoring metrics of Precision, Recall, and their harmonic mean F1, measured on the...

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 facilitate the discovery of new unknown events in most astrophysical areas, as well as improving the analysis of samples of known phenomena. Machine learning algorithms use fe...

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 facilitate the discovery of new unknown events in most astrophysical areas, as well as improving the analysis of samples of known phenomena. Machine learning algorithms use fe...

On 2017 August 17 a binary neutron star coalescence candidate (later designated GW170817) with merger time 12:41:04 UTC was observed through gravitational waves by the Advanced LIGO and Advanced Virgo detectors. The Fermi Gamma-ray Burst Monitor independently detected a gamma-ray burst (GRB 170817A) with a time delay of with respect to the merger t...

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 South Collaboration. We detected highly significant dimming in the light curves of the counterpart ( mag, mag, mag) over the course of only 80 minutes of observations obta...

The European Southern Observatory carried out a site selection, for the construction of the European Extremely Large Telescope (EELT) in the southern hemisphere. Since an observatory like this involves a multi millionaire budget, the best location must be thoroughly determined by taking into account key aspects such as meteorology, atmosphere condi...

Data processing pipelines represent an important slice of the astronomical software library that include chains of processes that transform raw data into valuable information via data reduction and analysis. In this work we present Corral, a Python framework for astronomical pipeline generation. Corral features a Model-View-Controller design patter...

Resumen Se realiza un análisis de la herramientas de software exis-tentes en el análisis multi-criterio/multiatributo con la evaluación de las implicancias relacionadas con el funcionamiento de cada paquete como un estanco difícil de integrar e incapaz de aceptar datos en formatos diferentes. También se evalúa la ventaja de Python como lenguaje de...

We present the results of the optical follow-up conducted by the TOROS collaboration of the first gravitational-wave event GW150914. We conducted unfiltered CCD observations (0.35-1 micron) with the 1.5-m telescope at Bosque Alegre starting ~2.5 days after the alarm. Given our limited field of view (~100 square arcmin), we targeted 14 nearby galaxi...

A gravitational-wave transient was identified in data recorded by the Advanced LIGO detectors on 2015 September 14. The event, initially designated G184098 and later given the name GW150914, is described in detail elsewhere. By prior arrangement, preliminary estimates of the time, significance, and sky location of the event were shared with 63 team...

This Supplement provides supporting material for Abbott et al. (2016a). We briefly summarize past electromagnetic (EM) follow-up efforts as well as the organization and policy of the current EM follow-up program. We compare the four probability sky maps produced for the gravitational-wave transient GW150914, and provide additional details of the EM...

A gravitational-wave (GW) transient was identified in data recorded by the Advanced Laser Interferometer Gravitational-wave Observatory (LIGO) detectors on 2015 September 14. The event, initially designated G184098 and later given the name GW150914, is described in detail elsewhere. By prior arrangement, preliminary estimates of the time, significa...

Resumen Se presenta un framework para análisis de datos estructurados en forma de red. El desarrollo, llamado Yatel, cumple con los requisitos de eficiencia para el análisis interactivo y también para ser integrado a una herramienta de análisis visual (Visual Analytics). El framework responde a una metodología de análisis que se explica brevemente...

Desde sus inicios el software libre/de código abierto ha generado intensos debates sobre la propiedad intelectual, las libertades del usuario y las formas de creación y distribución de software. Sin embargo, en estos últimos años el debate ha disminuido notablemente ya que ha demostrado ser viable técnica y económicamente, como lo demuestra el hech...

Se propone una técnica de análisis de datos a través de la exploración de redes que se forman con entidades existentes en la base de datos de estudio. El principal aporte del método es la exploración de la red a través de ambientes definidos por los demás atributos de la base de datos. Este método ha sido utilizado con éxito en el análisis de datos...

El Mal de Río Cuarto Viruss (MRCV) es un miembro del género Fujivirus que causa epidemias en cultivos de maíz en Argentina. Su genoma esta compuesto por diez segmentos de RNA de doble cadena. El análisis de variabilidad genética es central en la comprensión de la epidemiología y en la creación del modelo de comportamiento de la virosis. Este modelo...

En este trabajo se realiza un análisis de la variabilidad genética del virus del Mal de Río Cuarto (MRCV) a través de redes de haplotipos. El proceso de análisis incluye la definición de los haplotipos, la definición de un criterio para calcular la distancia entre haplotipos, la creación de la red y su análisis topológico, la definición de ambiente...