activity
20062026
most citedLikelihood-Free Cosmological Inference with Type Ia Supernovae: Approximate Bayesian Computation for a Complete Treatment of Uncertainty

110 citations · 389 across the 25 of their papers we have counts for

collaborators

26 papers

astro-ph.IM2026

Beyond the Final Label: Exploiting the Untapped Potential of Classification Histories in Astronomical Light Curve Analysis

Zhuoyang Zhou, Alex I. Malz, Chad M. Schafer +3

The Legacy Survey of Space and Time (LSST) on the Vera C. Rubin Observatory will generate a massive collection of time series (light curves) of the measured flux of transient and v…

stat.AP2025

COWs and their Hybrids: A Statistical View of Custom Orthogonal Weights

Chad Schafer, Larry Wasserman, Mikael Kuusela

A recurring challenge in high energy physics is inference of the signal component from a distribution for which observations are assumed to be a mixture of signal and background ev…

astro-ph.CO2024★ 4 cited

Joint inference of multiplicative and additive systematics in galaxy density fluctuations and clustering measurements

Federico Berlfein, Rachel Mandelbaum, Scott Dodelson +1

Galaxy clustering measurements are a key probe of the matter density field in the Universe. With the era of precision cosmology upon us, surveys rely on precise measurements of the…

astro-ph.GA2023

Reinterpreting Fundamental Plane Correlations with Machine Learning

Chad Schafer, Sukhdeep Singh, Yesukhei Jagvaral

This work explores the relationships between galaxy sizes and related observable galaxy properties in a large volume cosmological hydrodynamical simulation. The objectives of this…

astro-ph.IM2019

Algorithms and Statistical Models for Scientific Discovery in the Petabyte Era

Brian Nord, Andrew J. Connolly, Jamie Kinney +35

The field of astronomy has arrived at a turning point in terms of size and complexity of both datasets and scientific collaboration. Commensurately, algorithms and statistical mode…

astro-ph.IM2019★ 1 cited

The Growing Importance of a Tech Savvy Astronomy and Astrophysics Workforce

Dara Norman, Kelle Cruz, Vandana Desai +26

Fundamental coding and software development skills are increasingly necessary for success in nearly every aspect of astronomical and astrophysical research as large surveys and hig…