8.6k citations · 10.6k across the 63 of their papers we have counts for
18 papers · 1 filter
RadialPaths: Radial profiles in multi-centred astronomical structures
Rafael S. de Souza
Radial profiles are routinely used to locate structural changes within resolved astronomical systems, but they generally define radial position relative to a single centre. In inte…
SpectralUnmix: A Torch-Based Regularized Non-negative Matrix Factorization
Rafael S. de Souza, Paula Coelho, Niranjana P +2
We present SpectralUnmix, an R package for regularized non-negative matrix factorization (NMF), implemented in torch with optional GPU acceleration. The package estimates low-rank…
A Brief History of Inference in Astronomy
Rafael S. de Souza, Emille E. O. Ishida, Alberto Krone-Martins
In this short review, we trace the evolution of inference in astronomy, highlighting key milestones rather than providing an exhaustive survey. We focus on the shift from classical…
Enabling the discovery of fast transients: A kilonova science module for the Fink broker
B. Biswas, E. E. O. Ishida, J. Peloton +4
We describe the fast transient classification algorithm in the center of the kilonova (KN) science module currently implemented in the Fink broker and report classification results…
galmask: A Python package for unsupervised galaxy masking
Yash Gondhalekar, Rafael S. de Souza, Ana L. Chies-Santos
Galaxy morphological classification is a fundamental aspect of galaxy formation and evolution studies. Various machine learning tools have been developed for automated pipeline ana…
A graph-based spectral classification of Type II supernovae
Rafael S. de Souza, Stephen Thorp, Lluís Galbany +5
Given the ever-increasing number of time-domain astronomical surveys, employing robust, interpretative, and automated data-driven classification schemes is pivotal. Based on graph…
qrpca: A Package for Fast Principal Component Analysis with GPU Acceleration
Rafael S. de Souza, Xu Quanfeng, Shiyin Shen +2
We present qrpca, a fast and scalable QR-decomposition principal component analysis package. The software, written in both R and python languages, makes use of torch for internal m…
How have astronomers cited other fields in the last decade?
Michele Delli Veneri, Rafael S. de Souza, Alberto Krone-Martins +3
We present a citation pattern analysis between astronomical papers and 13 other disciplines, based on the arXiv database over the past decade (). We analyze 12,600 ast…
Active learning with RESSPECT: Resource allocation for extragalactic astronomical transients
Noble Kennamer, Emille E. O. Ishida, Santiago Gonzalez-Gaitan +12
The recent increase in volume and complexity of available astronomical data has led to a wide use of supervised machine learning techniques. Active learning strategies have been pr…
Astrophysical S-factors, thermonuclear rates, and electron screening potential for the He(d,p)He Big Bang reaction via a hierarchical Bayesian model
Rafael S. de Souza, Christian Iliadis, Alain Coc
We developed a hierarchical Bayesian framework to estimate S-factors and thermonuclear rates for the He(d,p)He reaction, which impacts the primordial abundances of He…
A case study of hurdle and generalized additive models in astronomy: the escape of ionizing radiation
M. W. Hattab, R. S. de Souza, B. Ciardi +3
The dark ages of the Universe end with the formation of the first generation of stars residing in primeval galaxies. These objects were the first to produce ultraviolet ionizing ph…
Gaia Data Release 2: Properties and validation of the radial velocities
D. Katz, P. Sartoretti, M. Cropper +51
For Gaia DR2 (GDR2), 280 million spectra, collected by the RVS instrument on-board Gaia, were processed and median radial velocities were derived for 9.8 million sources brighter t…
Using gamma regression for photometric redshifts of survey galaxies
J. Elliott, R. S. de Souza, A. Krone-Martins +3
Machine learning techniques offer a plethora of opportunities in tackling big data within the astronomical community. We present the set of Generalized Linear Models as a fast alte…
The Overlooked Potential of Generalized Linear Models in Astronomy-III: Bayesian Negative Binomial Regression and Globular Cluster Populations
R. S. de Souza, J. M. Hilbe, B. Buelens +5
In this paper, the third in a series illustrating the power of generalized linear models (GLMs) for the astronomical community, we elucidate the potential of the class of GLMs whic…
AMADA-Analysis of Multidimensional Astronomical Datasets
Rafael S. de Souza, Benedetta Ciardi
We present AMADA, an interactive web application to analyse multidimensional datasets. The user uploads a simple ASCII file and AMADA performs a number of exploratory analysis toge…
The Overlooked Potential of Generalized Linear Models in Astronomy-II: Gamma regression and photometric redshifts
J. Elliott, R. S. de Souza, A. Krone-Martins +3
Machine learning techniques offer a precious tool box for use within astronomy to solve problems involving so-called big data. They provide a means to make accurate predictions abo…
The Overlooked Potential of Generalized Linear Models in Astronomy - I: Binomial Regression
R. S. de Souza, E. Cameron, M. Killedar +6
Revealing hidden patterns in astronomical data is often the path to fundamental scientific breakthroughs; meanwhile the complexity of scientific inquiry increases as more subtle re…
Pushing the limits of the Gaia space mission by analyzing galaxy morphology
A. Krone-Martins, C. Ducourant, R. Teixeira +6
The ESA Gaia mission, to be launched during 2013, will observe billions of objects, among which many galaxies, during its scanning of the sky. This will provide a large space-based…