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20142023
most citedThe Characterization of the Gamma-Ray Signal from the Central Milky Way: A Compelling Case for Annihilating Dark Matter

512 citations · 1k across the 20 of their papers we have counts for

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Showing astro-ph.IMShow all

9 papers · 1 filter

astro-ph.IM2023★ 3 cited

PCAT-DE: Reconstructing point-like and diffuse signals in astronomical images using spatial and spectral information

Richard M. Feder, Victoria Butler, Tansu Daylan +5

Observational data from astronomical imaging surveys contain information about a variety of source populations and environments, and its complexity will increase substantially as t…

astro-ph.IM2022★ 2 cited

SARABANDE: 3/4 Point Correlation Functions with Fast Fourier Transforms

James Sunseri, Zachary Slepian, Stephen Portillo +3

We present a new package SARABANDE for measuring 3 & 4 Point Correlation Functions (3/4 PCFs) in time using Fast Fourier T…

astro-ph.IM2020★ 81 cited

Dimensionality Reduction of SDSS Spectra with Variational Autoencoders

Stephen K. N. Portillo, John K. Parejko, Jorge R. Vergara +1

High resolution galaxy spectra contain much information about galactic physics, but the high dimensionality of these spectra makes it difficult to fully utilize the information the…

astro-ph.IM2019★ 15 cited

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…

astro-ph.IM2019★ 1 cited

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…

astro-ph.IM2019★ 15 cited

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…

astro-ph.IM2017★ 27 cited

Improved Point Source Detection in Crowded Fields using Probabilistic Cataloging

Stephen K. N. Portillo, Benjamin C. G. Lee, Tansu Daylan +1

Cataloging is challenging in crowded fields because sources are extremely covariant with their neighbors and blending makes even the number of sources ambiguous. We present the fir…

astro-ph.IM2016★ 22 cited

Inference of Unresolved Point Sources At High Galactic Latitudes Using Probabilistic Catalogs

Tansu Daylan, Stephen K. N. Portillo, Douglas P. Finkbeiner

Detection of point sources in images is a fundamental operation in astrophysics, and is crucial for constraining population models of the underlying point sources or characterizing…

astro-ph.IM2014★ 20 cited

Sharper Fermi LAT Images: instrument response functions for an improved event selection

Stephen K. N. Portillo, Douglas P. Finkbeiner

The Large Area Telescope on the Fermi Gamma-ray Space Telescope has a point spread function with large tails, consisting of events affected by tracker ineffiencies, inactive volume…