2.2k citations · 12.3k across the 114 of their papers we have counts for
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A New Census of the 0.2 < z < 3.0 Universe, Part I: The Stellar Mass Function
Joel Leja, Joshua S. Speagle, Benjamin D. Johnson +3
There has been a long-standing factor-of-two tension between the observed star formation rate density and the observed stellar mass buildup after . Recently we have propose…
A Conceptual Introduction to Markov Chain Monte Carlo Methods
Joshua S. Speagle
Markov Chain Monte Carlo (MCMC) methods have become a cornerstone of many modern scientific analyses by providing a straightforward approach to numerically estimate uncertainties i…
MINESweeper: Spectrophotometric Modeling of Stars in the Gaia Era
Phillip A. Cargile, Charlie Conroy, Benjamin D. Johnson +4
We present MINESweeper, a tool to measure stellar parameters by jointly fitting observed spectra and broadband photometry to model isochrones and spectral libraries. This approach…
Galaxy-Galaxy Lensing in HSC: Validation Tests and the Impact of Heterogeneous Spectroscopic Training Sets
Joshua S. Speagle, Alexie Leauthaud, Song Huang +9
Although photometric redshifts (photo-z's) are crucial ingredients for current and upcoming large-scale surveys, the high-quality spectroscopic redshifts currently available to tra…
Measuring the delay time distribution of binary neutron stars. III. Using the individual star formation histories of gravitational wave event host galaxies in the local universe
Mohammadtaher Safarzadeh, Edo Berger, Joel Leja +1
In Paper I (Safarzadeh & Berger 2019) we studied the determination of the delay time distribution (DTD) of binary neutron stars (BNS) through scaling relations between halo/stellar…
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…
dynesty: A Dynamic Nested Sampling Package for Estimating Bayesian Posteriors and Evidences
Joshua S Speagle
We present dynesty, a public, open-source, Python package to estimate Bayesian posteriors and evidences (marginal likelihoods) using Dynamic Nested Sampling. By adaptively allocati…
Evidence for the Cross-correlation between Cosmic Microwave Background Polarization Lensing from POLARBEAR and Cosmic Shear from Subaru Hyper Suprime-Cam
Toshiya Namikawa, Yuji Chinone, Hironao Miyatake +72
We present the first measurement of cross-correlation between the lensing potential, reconstructed from cosmic microwave background (CMB) {\it polarization} data, and the cosmic sh…
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…
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…
A Large Catalog of Accurate Distances to Local Molecular Clouds: The Gaia DR2 Edition
Catherine Zucker, Joshua S. Speagle, Edward F. Schlafly +4
We present a uniform catalog of accurate distances to local molecular clouds informed by the Gaia DR2 data release. Our methodology builds on that of Schlafly et al. (2014). First,…