272 citations · 815 across the 29 of their papers we have counts for
32 papers
The Galaxy's Guide to the Tokenizer: A Benchmark for Scientific Foundation Models
Sogol Sanjaripour, Michael J. Smith, Manuel Pérez-Carrasco +3
Tokenization is central to adapting scientific data for transformer-based foundation models, yet its impact on learned representations remains poorly understood. We compare four to…
The Chandra-Gaia Catalog of Counterparts: Resolving ambiguous Gaia matches to X-ray sources in the Chandra Source Catalog using Machine Learning
V. Samuel Pérez-Díaz, Vinay L. Kashyap, Joshua D. Ingram +6
We present a framework to cross-match sources from the Chandra Source Catalog (CSC v2.1) with optical sources from Gaia Data Release 3. Unlike purely spatial approaches, we use sou…
Modeling X-ray photon pile-up with a normalizing flow
Ole König, Daniela Huppenkothen, Douglas Finkbeiner +5
The dynamic range of imaging detectors flown on-board X-ray observatories often only covers a limited flux range of extrasolar X-ray sources. The analysis of bright X-ray sources i…
Extracting latent representations from X-ray spectra. Classification, regression, and accretion signatures of Chandra sources
Nicolò Oreste Pinciroli Vago, Juan Rafael Martínez-Galarza, Roberta Amato
Spectral signatures are crucial in the era of large X-ray surveys. Automatic machine learning methods have proven useful in this respect, but so far they have not been applied to l…
Learning Representations of Event Time Series with Sparse Autoencoders for Anomaly Detection, Similarity Search, and Unsupervised Classification
Steven Dillmann, Juan Rafael Martínez-Galarza
Event time series are sequences of discrete events occurring at irregular time intervals, each associated with a domain-specific observational modality. They are common in domains…
Hyperluminous Supersoft X-Ray Sources in the Chandra Catalog
Andrea Sacchi, Kevin Paggeot, Steven Dillmann +2
Hyperluminous supersoft X-ray sources, such as bright extragalactic sources characterized by particularly soft X-ray spectra, offer a unique opportunity to study accretion onto sup…
The Multimodal Universe: Enabling Large-Scale Machine Learning with 100TB of Astronomical Scientific Data
The Multimodal Universe Collaboration, Jeroen Audenaert, Micah Bowles +26
We present the MULTIMODAL UNIVERSE, a large-scale multimodal dataset of scientific astronomical data, compiled specifically to facilitate machine learning research. Overall, the MU…
The Chandra Source Catalog Release 2 Series
Ian N. Evans, Janet D. Evans, J. Rafael Martínez-Galarza +17
The Chandra Source Catalog (CSC) is a virtual X-ray astrophysics facility that enables both detailed individual source studies and statistical studies of large samples of X-ray sou…
Unsupervised Machine Learning for the Classification of Astrophysical X-ray Sources
Víctor Samuel Pérez-Díaz, Juan Rafael Martínez-Galarza, Alexander Caicedo +1
The automatic classification of X-ray detections is a necessary step in extracting astrophysical information from compiled catalogs of astrophysical sources. Classification is usef…
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Westerlund 1 and 2 Open Clusters Survey
M. G. Guarcello, E. Flaccomio, J. F. Albacete-Colombo +48
Context. With a mass exceeding several 10^4 solar masses and a rich and dense population of massive stars, supermassive young star clusters represent the most massive star-forming…
Linking Anomalous Behaviour with Stellar Properties: An Unsupervised Exploration of TESS Light Curves
Dennis A. Crake, Juan Rafael Martínez-Galarza
With the upcoming plethora of astronomical time-domain datasets and surveys, anomaly detection as a way to discover new types of variable stars and transients has inspired a new wa…
Wavelength Calibration and Resolving Power of the JWST MIRI Medium Resolution Spectrometer
A. Labiano, I. Argyriou, J. Alvarez-Marquez +13
The Mid-Infrared Instrument (MIRI) on-board JWST will provide imaging, coronagraphy, low-resolution spectroscopy and medium-resolution spectroscopy at unprecedented sensitivity lev…
Dust-Enshrouded AGN can Dominate Host-Galaxy-Scale Cold-Dust Emission
Jed McKinney, Christopher C. Hayward, Lee J. Rosenthal +4
It is widely assumed that long-wavelength infrared (IR) emission from cold dust (T~20-40K) is a reliable tracer of star formation even in the presence of a bright active galactic n…
Results of the Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC)
R. Hložek, K. A. Ponder, A. I. Malz +19
Next-generation surveys like the Legacy Survey of Space and Time (LSST) on the Vera C. Rubin Observatory will generate orders of magnitude more discoveries of transients and variab…
The AGN contribution to the UV-FIR luminosities of interacting galaxies and its role in identifying the Main Sequence
Andrés F. Ramos P., M. L. N. Ashby, Howard A. Smith +5
Emission from active galactic nuclei (AGNs) is known to play an important role in the evolution of many galaxies including luminous and ultraluminous systems (U/LIRGs), as well as…
A method for finding anomalous astronomical light curves and their analogs
Juan Rafael Martínez-Galarza, Federica Bianco, Dennis Crake +4
Our understanding of the Universe has profited from deliberate, targeted studies of known phenomena, as well as from serendipitous, unexpected discoveries, such as the discovery of…
Algorithms and Statistical Models for Scientific Discovery in the Petabyte Era
Brian Nord, Andrew J. Connolly, Jamie Kinney +35
The field of astronomy has arrived at a turning point in terms of size and complexity of both datasets and scientific collaboration. Commensurately, algorithms and statistical mode…
The Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC): Selection of a performance metric for classification probabilities balancing diverse science goals
A. I. Malz, R. Hložek, T. Allam +22
Classification of transient and variable light curves is an essential step in using astronomical observations to develop an understanding of their underlying physical processes. Ho…
Unraveling the Spectral Energy Distributions of Clustered YSOs
Juan R. Martínez-Galarza, Pavlos Protopapas, Howard A. Smith +1
Stars form in clustered environments, but how they form when the available resources are shared is still not well understood. A related question is whether the IMF is in fact unive…
The AGN Luminosity Fraction in Merging Galaxies
Jeremy Dietrich, Aaron S. Weiner, Matthew L. N. Ashby +7
Galaxy mergers are key events in galaxy evolution, often causing massive starbursts and fueling active galactic nuclei (AGN). In these highly dynamic systems, it is not yet precise…
Young Stellar Objects in the Massive Star-Forming Regions W51 and W43
G. Saral, J. L. Hora, M. Audard +6
We present the results of our investigation of the star-forming complexes W51 and W43, two of the brightest in the first Galactic quadrant. In order to determine the young stellar…
Merger Signatures in the Dynamics of Star-forming Gas
Chao-Ling Hung, Christopher C. Hayward, Howard A. Smith +5
Spatially resolved kinematics have been used to determine the dynamical status of star-forming galaxies with ambiguous morphologies, and constrain the importance of galaxy interact…
The Mid-Infrared Instrument for the James Webb Space Telescope, VI: The Medium Resolution Spectrometer
Martyn Wells, J. -W. Pel, Alistair Glasse +35
We describe the design and performance of the Medium Resolution Spectrometer (MRS) for the JWST-MIRI instrument. The MRS incorporates four coaxial spectral channels in a compact op…
A WISE Census of Young Stellar Objects in Perseus OB2 Association
Mohaddesseh Azimlu, J. Rafael Martinez-Galarza, August A. Muench
We have performed a WISE (Wide-Field Infrared Survey Explorer) based study to identify and characterize young stellar objects (YSOs) in 12x12 degree Perseus OB2 association. Spectr…