activity
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

collaborators

20 papers

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.CO2021★ 11 cited

Measurement of the Relativistic Sunyaev-Zeldovich Corrections in RX J1347.5-1145

Victoria Butler, Richard M. Feder, Tansu Daylan +8

We present a measurement of the relativistic corrections to the thermal Sunyaev-Zel'dovich (SZ) effect spectrum, the rSZ effect, toward the massive galaxy cluster RX J1347.5-1145 b…

astro-ph.EP2021★ 15 cited

Sifting Through the Static: Moving Object Detection in Difference Images

Hayden Smotherman, Andrew J. Connolly, J. Bryce Kalmbach +6

Trans-Neptunian Objects (TNOs) provide a window into the history of the Solar System, but they can be challenging to observe due to their distance from the Sun and relatively low b…

astro-ph.CO2021★ 31 cited

21cmVAE: A Very Accurate Emulator of the 21-cm Global Signal

Christian H. Bye, Stephen K. N. Portillo, Anastasia Fialkov

Considerable observational efforts are being dedicated to measuring the sky-averaged (global) 21-cm signal of neutral hydrogen from Cosmic Dawn and the Epoch of Reionization. Deriv…

astro-ph.GA2020★ 43 cited

Classification of Magnetohydrodynamic Simulations using Wavelet Scattering Transforms

Andrew K. Saydjari, Stephen K. N. Portillo, Zachary Slepian +3

The complex interplay of magnetohydrodynamics, gravity, and supersonic turbulence in the interstellar medium (ISM) introduces non-Gaussian structure that can complicate comparison…

astro-ph.GA2020★ 18 cited

The Catalogue for Astrophysical Turbulence Simulations (CATS)

B. Burkhart, S. Appel, S. Bialy +18

Turbulence is a key process in many fields of astrophysics. Advances in numerical simulations of fluids over the last several decades have revolutionized our understanding of turbu…

cs.LG2020★ 2 cited

Sampling for Deep Learning Model Diagnosis (Technical Report)

Parmita Mehta, Stephen Portillo, Magdalena Balazinska +1

Deep learning (DL) models have achieved paradigm-changing performance in many fields with high dimensional data, such as images, audio, and text. However, the black-box nature of d…

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.GA2018★ 120 cited

Mapping Distances Across the Perseus Molecular Cloud Using CO Observations, Stellar Photometry, and Gaia DR2 Parallax Measurements

Catherine Zucker, Edward F. Schlafly, Joshua S. Speagle +4

We present a new technique to determine distances to major star-forming regions across the Perseus Molecular Cloud, using a combination of stellar photometry, astrometric data, and…

astro-ph.CO2017★ 30 cited

Developing the 3-Point Correlation Function For the Turbulent Interstellar Medium

Stephen K. N. Portillo, Zachary Slepian, Blakesley Burkhart +2

We present the first application of the angle-dependent 3-Point Correlation Function (3PCF) to the density fields magnetohydrodynamic (MHD) turbulence simulations intended to model…

astro-ph.CO2017★ 9 cited

Too hot to handle? Analytic solutions for massive neutrino or warm dark matter cosmologies

Zachary Slepian, Stephen KN Portillo

We obtain novel closed form solutions to the Friedmann equation for cosmological models containing a component whose equation of state is that of radiation at early times…

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…

physics.med-ph2016★ 47 cited

A theoretical framework to predict the most likely ion path in particle imaging

Charles-Antoine Collins-Fekete, Lennart Volz, Stephen K. N. Portillo +2

In this work, a generic rigorous Bayesian formalism is introduced to predict the most likely path of any ion crossing a medium between two detection points. The path is predicted b…

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…

astro-ph.HE2014★ 512 cited

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

Tansu Daylan, Douglas P. Finkbeiner, Dan Hooper +4

Past studies have identified a spatially extended excess of 1-3 GeV gamma rays from the region surrounding the Galactic Center, consistent with the emission expected from ann…