15.2k citations · 68.5k across the 177 of their papers we have counts for
7 papers · 1 filter
Multiband Probabilistic Cataloging: A Joint Fitting Approach to Point Source Detection and Deblending
Richard M. Feder, Stephen K. N. Portillo, Tansu Daylan +1
Probabilistic cataloging (PCAT) outperforms traditional cataloging methods on single-band optical data in crowded fields (Portillo et al. 2017). We extend our work to multiple band…
A 3D Dust Map Based on Gaia, Pan-STARRS 1 and 2MASS
Gregory M. Green, Edward F. Schlafly, Catherine Zucker +2
We present a new three-dimensional map of dust reddening, based on Gaia parallaxes and stellar photometry from Pan-STARRS 1 and 2MASS. This map covers the sky north of a declinatio…
Astro2020 Science White Paper: The Next Decade of Astroinformatics and Astrostatistics
A. Siemiginowska, G. Eadie, I. Czekala +49
Over the past century, major advances in astronomy and astrophysics have been largely driven by improvements in instrumentation and data collection. With the amassing of high quali…
High-Dimensional Dust Mapping
G. Zasowski, D. P. Finkbeiner, G. M. Green +9
Galactic interstellar dust has a profound impact not only on our observations of objects throughout the Universe, but also on the morphology, star formation, and chemical evolution…
The Role of Machine Learning in the Next Decade of Cosmology
Michelle Ntampaka, Camille Avestruz, Steven Boada +27
In recent years, machine learning (ML) methods have remarkably improved how cosmologists can interpret data. The next decade will bring new opportunities for data-driven cosmologic…
Photometric Biases in Modern Surveys
Stephen K. N. Portillo, Joshua S. Speagle, Douglas P. Finkbeiner
Many surveys use maximum-likelihood (ML) methods to fit models when extracting photometry from images. We show these ML estimators systematically overestimate the flux as a functio…