196 citations · 1.3k across the 34 of their papers we have counts for
33 papers
Plato's view on supermassive black hole binaries: Exploring the faint limit of ESA's Plato space mission
Nicholas Jannsen, Pablo Huijse, Kevin Park +3
The search for supermassive black hole binaries (SMBHBs) has, in recent years, seen the dawn of exploration with several hundred candidates claimed from photometric and spectroscop…
Variability classification of TESS targets in LOPS2, the first long-term pointing field of PLATO. Version 1 of the public variability catalogue
Mykyta Kliapets, Pablo Huijse, Jeroen Audenaert +28
The PLAnetary Transits and Oscillations of stars (PLATO) mission is expected to launch in January 2027. A total of 8\% of its data rate will be dedicated to complementary science t…
The PLATO Science Calibration and Validation Plan: Targets for the First Long-pointing Field
Konstanze Zwintz, Conny Aerts, Andrew Tkachenko +56
In order to meet the science goals of the PLATO space mission, an extensive science calibration and validation plan has been designed. This paper describes this plan, as well as th…
Automated all-sky detection of γ Doradus / δ Scuti hybrids in TESS data from positive unlabelled (PU) learning
Mykyta Kliapets, Pablo Huijse, Andrew Tkachenko +4
The Transiting Exoplanet Survey Satellite (TESS) mission has observed hundreds of millions of stars, substantially contributing to the available pool of high-precision photometric…
The Variable Universe with the Gaia mission and AI methods
L. Eyer, P. Huijse, N. Chornay +5
The Gaia mission has observed over 2 billion stars repeatedly across the entire sky over 10 years, revealing the many astronomical objects that vary on human timescales from second…
A self-regulated convolutional neural network for classifying variable stars
Francisco Pérez-Galarce, Jorge Martínez-Palomera, Karim Pichara +2
Over the last two decades, machine learning models have been widely applied and have proven effective in classifying variable stars, particularly with the adoption of deep learning…
A search for periodic AGN variability in Data Release 3
Pablo Huijse, Jordy Davelaar, Joris De Ridder +2
Supermassive black hole binaries (SMBHB) are expected to produce periodic modulations in active galactic nuclei (AGN) light curves, but distinguishing such signals from stochastic…
Learning novel representations of variable sources from multi-modal data via autoencoders
P. Huijse, J. De Ridder, L. Eyer +18
Gaia Data Release 3 (DR3) published for the first time epoch photometry, BP/RP (XP) low-resolution mean spectra, and supervised classification results for millions of variable sour…
ALeRCE light curve classifier: Tidal disruption event expansion pack
M. Pavez-Herrera, P. Sánchez-Sáez, L. Hernández-García +9
ALeRCE (Automatic Learning for the Rapid Classification of Events) processes the Zwicky Transient Facility (ZTF) alert stream in preparation for the Vera C. Rubin Observatory, clas…
ATAT: Astronomical Transformer for time series And Tabular data
G. Cabrera-Vives, D. Moreno-Cartagena, N. Astorga +14
The advent of next-generation survey instruments, such as the Vera C. Rubin Observatory and its Legacy Survey of Space and Time (LSST), is opening a window for new research in time…
Persistent and occasional: searching for the variable population of the ZTF/4MOST sky using ZTF data release 11
P. Sánchez-Sáez, J. Arredondo, A. Bayo +13
We present a variability, color and morphology based classifier, designed to identify transients, persistently variable, and non-variable sources, from the Zwicky Transient Facilit…
Informative regularization for a multi-layer perceptron RR Lyrae classifier under data shift
Francisco Pérez-Galarce, Karim Pichara, Pablo Huijse +2
In recent decades, machine learning has provided valuable models and algorithms for processing and extracting knowledge from time-series surveys. Different classifiers have been pr…
DELIGHT: Deep Learning Identification of Galaxy Hosts of Transients using Multi-resolution Images
Francisco Förster, Alejandra M. Muñoz Arancibia, Ignacio Reyes +25
We present DELIGHT, or Deep Learning Identification of Galaxy Hosts of Transients, a new algorithm designed to automatically and in real-time identify the host galaxies of extragal…
Informative Bayesian model selection for RR Lyrae star classifiers
F. Pérez-Galarce, K. Pichara, P. Huijse +2
Machine learning has achieved an important role in the automatic classification of variable stars, and several classifiers have been proposed over the last decade. These classifier…
Bayesian Reconstruction of Fourier Pairs
Felipe Tobar, Lerko Araya-Hernández, Pablo Huijse +1
In a number of data-driven applications such as detection of arrhythmia, interferometry or audio compression, observations are acquired indistinctly in the time or frequency domain…
MPCC: Matching Priors and Conditionals for Clustering
Nicolás Astorga, Pablo Huijse, Pavlos Protopapas +1
Clustering is a fundamental task in unsupervised learning that depends heavily on the data representation that is used. Deep generative models have appeared as a promising tool to…
The Automatic Learning for the Rapid Classification of Events (ALeRCE) Alert Broker
F. Förster, G. Cabrera-Vives, E. Castillo-Navarrete +37
We introduce the Automatic Learning for the Rapid Classification of Events (ALeRCE) broker, an astronomical alert broker designed to provide a rapid and self--consistent classifica…
Alert Classification for the ALeRCE Broker System: The Light Curve Classifier
P. Sánchez-Sáez, I. Reyes, C. Valenzuela +23
We present the first version of the ALeRCE (Automatic Learning for the Rapid Classification of Events) broker light curve classifier. ALeRCE is currently processing the Zwicky Tran…
Asteroids' Size Distribution and Colors from HiTS
J. Peña, C. Fuentes, F. Förster +8
We report the observations of solar system objects during the 2015 campaign of the High cadence Transient Survey (HiTS). We found 5740 bodies (mostly Main Belt asteroids), 1203 of…
An Information Theory Approach on Deciding Spectroscopic Follow Ups
Javiera Astudillo, Pavlos Protopapas, Karim Pichara +1
Classification and characterization of variable phenomena and transient phenomena are critical for astrophysics and cosmology. These objects are commonly studied using photometric…
The delay of shock breakout due to circumstellar material seen in most Type II Supernovae
F. Förster, T. J. Moriya, J. C. Maureira +35
Type II supernovae (SNe) originate from the explosion of hydrogen-rich supergiant massive stars. Their first electromagnetic signature is the shock breakout, a short-lived phenomen…
The High Cadence Transient Survey (HITS): Compilation and characterization of light-curve catalogs
Jorge Martínez-Palomera, Francisco Förster, Pavlos Protopapas +12
The High Cadence Transient Survey (HiTS) aims to discover and study transient objects with characteristic timescales between hours and days, such as pulsating, eclipsing and explod…
Enhanced Rotational Invariant Convolutional Neural Network for Supernovae Detection
Esteban Reyes, Pablo A. Estévez, Ignacio Reyes +4
In this paper, we propose an enhanced CNN model for detecting supernovae (SNe). This is done by applying a new method for obtaining rotational invariance that exploits cyclic symme…
The VVV Survey RR Lyrae Population in the Galactic Centre Region
Rodrigo Contreras Ramos, Dante Minniti, Felipe Gran +6
Deep near-IR images from the VVV Survey were used to search for RR Lyrae type ab (RRab) stars within 100' from the Galactic Centre (GC). A sample of 960 RRab stars were discovered.…