106 citations · 519 across the 30 of their papers we have counts for
30 papers
Lightstack: A Python Package for Creating Photometric Data Cubes
Andressa Wille, Rafael S. de Souza, Ana L. Chies-Santos +3
Multi-band photometry traces diverse physical processes across a wide range of wavelengths. In recent decades, this field has been driven by the rapid growth of multi-imaging datas…
SAGUI: SED-based Segmentation of Multi-band Galaxy Images -- Application to JADES in GOODS-South
Rafael S. de Souza, Andressa Wille, Shravya Shenoy +11
We present sagui, a modular framework for the analysis of multi-band imaging data in spatially resolved galaxies, with synergies to integral-field spectroscopy (IFS). Building on t…
Closed-form approximations of fundamental quantities of Lemaitre-Tolman-Bondi cosmologies from Symbolic Regression: I. Results on the Garcia-Bellido-Haugbølle parameterization
A. Carvalho, A. Krone-Martins, A. Da Silva +2
We introduce a novel set of analytic approximations for five fundamental functions in spherically symmetric, inhomogeneous Lemaitre-Tolman-Bondi (LTB) cosmologies, derived via Symb…
AT2022zod: An Unusual Tidal Disruption Event in an Elliptical Galaxy at Redshift 0.11
Kristen C. Dage, Phelipe Darc, Thallis Pessi +16
Tidal Disruption Events (TDEs) have long been hypothesized as valuable indicators of black holes, offering insight into their demographics and behaviour out to high redshift. TDEs…
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…
From Galaxy Zoo DECaLS to BASS/MzLS: detailed galaxy morphology classification with unsupervised domain adaption
Renhao Ye, Shiyin Shen, Rafael S. de Souza +6
The DESI Legacy Imaging Surveys (DESI-LIS) comprise three distinct surveys: the Dark Energy Camera Legacy Survey (DECaLS), the Beijing-Arizona Sky Survey (BASS), and the Mayall z-b…
ELEPHANT: ExtragaLactic alErt Pipeline for Hostless AstroNomical Transients
P. J. Pessi, R. Durgesh, L. Nakazono +11
Context. Transient astronomical events that exhibit no discernible association with a host galaxy are commonly referred to as hostless. These rare phenomena are associated with ext…
Detection of open cluster rotation fields from Gaia EDR3 proper motions
Pedro Guilherme-Garcia, Alberto Krone-Martins, André Moitinho
Context. Most stars from in groups which with time disperse, building the field population of their host galaxy. In the Milky Way, open clusters have been continuously forming in t…
Are classification metrics good proxies for SN Ia cosmological constraining power?
Alex I. Malz, Mi Dai, Kara A. Ponder +10
Context: When selecting a classifier to use for a supernova Ia (SN Ia) cosmological analysis, it is common to make decisions based on metrics of classification performance, i.e. co…
From Images to Features: Unbiased Morphology Classification via Variational Auto-Encoders and Domain Adaptation
Quanfeng Xu, Shiyin Shen, Rafael S. de Souza +7
We present a novel approach for the dimensionality reduction of galaxy images by leveraging a combination of variational auto-encoders (VAE) and domain adaptation (DA). We demonstr…
Applications of AI in Astronomy
S. G. Djorgovski, A. A. Mahabal, M. J. Graham +2
We provide a brief, and inevitably incomplete overview of the use of Machine Learning (ML) and other AI methods in astronomy, astrophysics, and cosmology. Astronomy entered the big…
The SNAD Viewer: Everything You Want to Know about Your Favorite ZTF Object
Konstantin Malanchev, Matwey V. Kornilov, Maria V. Pruzhinskaya +9
We describe the SNAD Viewer, a web portal for astronomers which presents a centralized view of individual objects from the Zwicky Transient Facility's (ZTF) data releases, includin…
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…
Spectroscopic Confirmation of a Population of Isolated, Intermediate-Mass YSOs
Michael A. Kuhn, Ramzi Saber, Matthew S. Povich +8
Wide-field searches for young stellar objects (YSOs) can place useful constraints on the prevalence of clustered versus distributed star formation. The Spitzer/IRAC Candidate YSO (…
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…
Gaia GraL: Gaia DR2 Gravitational Lens Systems. VII. XMM-Newton Observations of Lensed Quasars
Thomas Connor, Daniel Stern, Alberto Krone-Martins +23
We present XMM-Newton X-ray observations of nine confirmed lensed quasars at identified by the Gaia Gravitational Lens program. Eight systems are strongly…
Probabilistic modeling of asteroid diameters from Gaia DR2 errors
Rafael S. de Souza, Alberto Krone-Martins, Valerio Carruba +5
The Gaia Data Release 2 provides precise astrometry for nearly 1.5 billion sources across the entire sky, including several thousand asteroids. In this work, we provide evidence th…
A high pitch angle structure in the Sagittarius Arm
M. A. Kuhn, R. A. Benjamin, C. Zucker +6
Context: In spiral galaxies, star formation tends to trace features of the spiral pattern, including arms, spurs, feathers, and branches. However, in our own Milky Way, it has been…
SPICY: The Spitzer/IRAC Candidate YSO Catalog for the Inner Galactic Midplane
Michael A. Kuhn, Rafael S. de Souza, Alberto Krone-Martins +4
We present ~120,000 Spitzer/IRAC candidate young stellar objects (YSOs) based on surveys of the Galactic midplane between l~255 deg and 110 deg, including the GLIMPSE I, II, and 3D…
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…
Periodic Astrometric Signal Recovery through Convolutional Autoencoders
Michele Delli Veneri, Louis Desdoigts, Morgan A. Schmitz +8
Astrometric detection involves a precise measurement of stellar positions, and is widely regarded as the leading concept presently ready to find earth-mass planets in temperate orb…
Ridges in the Dark Energy Survey for cosmic trough identification
Ben Moews, Morgan A. Schmitz, Andrew J. Lawler +6
Cosmic voids and their corresponding redshift-projected mass densities, known as troughs, play an important role in our attempt to model the large-scale structure of the Universe.…
Open cluster kinematics with Gaia DR2
C. Soubiran, T. Cantat-Gaudin, M. Romero-Gómez +16
Context. Open clusters are very good tracers of the evolution of the Galactic disc. Thanks to Gaia, their kinematics can be investigated with an unprecedented precision and accurac…
Optimizing spectroscopic follow-up strategies for supernova photometric classification with active learning
E. E. O. Ishida, R. Beck, S. Gonzalez-Gaitan +10
We report a framework for spectroscopic follow-up design for optimizing supernova photometric classification. The strategy accounts for the unavoidable mismatch between spectroscop…