activity
20242026
most citedIs machine learning good or bad for the natural sciences?

7 citations · 7 across the 7 of their papers we have counts for

collaborators

7 papers

astro-ph.SR2026

A constrained linear model for continuum normalization of stellar spectra

Andrew R. Casey, Adam Wheeler, Megan Bedell +3

Inferring stellar parameters and chemical abundances by forward modeling stellar spectra usually requires a spectral synthesis code, or an emulator constructed from a curated train…

astro-ph.IM2025

: A generative, multi-output, latent-variable model for astronomical data with noisy labels

Danny Horta, Adrian M. Price-Whelan, David W. Hogg +2

The large volume of spectroscopic data available now and from near-future surveys will enable high-dimensional measurements of stellar parameters and properties. Current methods fo…

astro-ph.SR2024

A Compact, Coherent Representation of Stellar Surface Variation in the Spectral Domain

Lily L. Zhao, Megan E. Bedell, David W. Hogg +1

Time-varying inhomogeneities on stellar surfaces constitute one of the largest sources of radial velocity (RV) error for planet detection and characterization. We show that stellar…

astro-ph.IM2024

Improving Radial Velocities by Marginalizing over Stars and Sky: Achieving 30 m/s RV Precision for APOGEE in the Plate Era

Andrew K. Saydjari, Douglas P. Finkbeiner, Adam J. Wheeler +7

The radial velocity catalog from the Apache Point Observatory Galactic Evolution Experiment (APOGEE) is unique in its simultaneously large volume and high precision as a result of…

stat.ML2024★ 7 cited

Is machine learning good or bad for the natural sciences?

David W. Hogg, Soledad Villar

Machine learning (ML) methods are having a huge impact across all of the sciences. However, ML has a strong ontology - in which only the data exist - and a strong epistemology - in…

astro-ph.EP2024

NotPlaNET: Removing False Positives from Planet Hunters TESS with Machine Learning

Valentina Tardugno Poleo, Nora Eisner, David W. Hogg

Differentiating between real transit events and false positive signals in photometric time series data is a bottleneck in the identification of transiting exoplanets, particularly…

astro-ph.IM2024

Frizzle: Combining spectra or images by forward modeling

David W. Hogg, Andrew R. Casey

When there are many observations of an astronomical source - many images with different dithers, or many spectra taken at different barycentric velocities - it is standard practice…