2.2k citations · 12.3k across the 114 of their papers we have counts for
16 papers · 1 filter
How to Craft the Right Language AI Policy For Your Research Group (Some Assembly Required)
Michelle Ntampaka, S. Burke-Spolaor, Ioana Ciucă +14
Language AI is rapidly becoming part of the astronomy research ecosystem, prompting research teams to develop policies governing its use. But resources and advice for AI adoption a…
Data-Driven Stellar Spectral Modelling with GSPICE
Douglas P. Finkbeiner, Joshua S. Speagle, Tanveer Karim
Spectral data reduction pipelines deal with a wide variety of challenges including masking cosmic rays, calibrating wavelength solutions, and estimating background noise while tryi…
Photometric Completeness Modelled With Neural Networks
William E. Harris, Joshua S. Speagle
In almost any study involving optical/NIR photometry, understanding the completeness of detection and recovery is an essential part of the work. The recovery fraction is, in genera…
Zephyr : Stitching Heterogeneous Training Data with Normalizing Flows for Photometric Redshift Inference
Zechang Sun, Joshua S. Speagle, Song Huang +2
We present zephyr, a novel method that integrates cutting-edge normalizing flow techniques into a mixture density estimation framework, enabling the effective use of heterogeneous…
Closing the stellar labels gap: An unsupervised, generative model for BP/RP spectra
Alexander Laroche, Joshua S. Speagle
The recent release of 220+ million BP/RP spectra in DR3 presents an opportunity to apply deep learning models to an unprecedented number of stellar spectra, at extr…
As Simple as Possible but No Simpler: Optimizing the Performance of Neural Net Emulators for Galaxy SED Fitting
Elijah P. Mathews, Joel Leja, Joshua S. Speagle +7
Artificial neural network emulators have been demonstrated to be a very computationally efficient method to rapidly generate galaxy spectral energy distributions (SEDs), for parame…
NANCY: Next-generation All-sky Near-infrared Community surveY
Jiwon Jesse Han, Arjun Dey, Adrian M. Price-Whelan +206
The Nancy Grace Roman Space Telescope is capable of delivering an unprecedented all-sky, high-spatial resolution, multi-epoch infrared map to the astronomical community. This oppor…
SBI++: Flexible, Ultra-fast Likelihood-free Inference Customized for Astronomical Applications
Bingjie Wang, Joel Leja, V. Ashley Villar +1
Flagship near-future surveys targeting galaxies across cosmic time will soon reveal the processes of galaxy assembly in unprecedented resolution. This creates an immedi…
Practical Guidance for Bayesian Inference in Astronomy
Gwendolyn M. Eadie, Joshua S. Speagle, Jessi Cisewski-Kehe +5
In the last two decades, Bayesian inference has become commonplace in astronomy. At the same time, the choice of algorithms, terminology, notation, and interpretation of Bayesian i…
Monte Carlo Techniques for Addressing Large Errors and Missing Data in Simulation-based Inference
Bingjie Wang, Joel Leja, Ashley Villar +1
Upcoming astronomical surveys will observe billions of galaxies across cosmic time, providing a unique opportunity to map the many pathways of galaxy assembly to an incredibly high…
Improving Power Spectrum Estimation using Multitapering: Efficient asteroseismic analyses for understanding stars, the Milky Way, and beyond
Aarya A. Patil, Gwendolyn M. Eadie, Joshua S. Speagle +1
Asteroseismic time-series data have imprints of stellar oscillation modes, whose detection and characterization through time-series analysis allows us to probe stellar interior phy…
A Referee Primer for Early Career Astronomers
Michelle Ntampaka, Ana Bonaca, Sownak Bose +5
Refereeing is a crucial component of publishing astronomical research, but few professional astronomers receive formal training on how to effectively referee a manuscript. In this…
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…
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…
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…
The Hyper Suprime-Cam SSP Survey: Overview and Survey Design
H. Aihara, N. Arimoto, R. Armstrong +139
Hyper Suprime-Cam (HSC) is a wide-field imaging camera on the prime focus of the 8.2m Subaru telescope on the summit of Maunakea in Hawaii. A team of scientists from Japan, Taiwan…