Deriving Stellar Properties, Distances, and Reddenings using Photometry and Astrometry with BRUTUS

Fuente: arXiv
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Main Authors: Speagle, Joshua S., Zucker, Catherine, Beane, Angus, Cargile, Phillip A., Dotter, Aaron, Finkbeiner, Douglas P., Green, Gregory M., Johnson, Benjamin D., Schlafly, Edward F., Bonaca, Ana, Conroy, Charlie, Eadie, Gwendolyn, Eisenstein, Daniel J., Goodman, Alyssa A., Han, Jiwon Jesse, Kamdar, Harshil M., Naidu, Rohan, Rix, Hans-Walter, Saydjari, Andrew K., Ting, Yuan-Sen, Zelko, Ioana A.
Format: Preprint
Published: 2025
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author Speagle, Joshua S.
Zucker, Catherine
Beane, Angus
Cargile, Phillip A.
Dotter, Aaron
Finkbeiner, Douglas P.
Green, Gregory M.
Johnson, Benjamin D.
Schlafly, Edward F.
Bonaca, Ana
Conroy, Charlie
Eadie, Gwendolyn
Eisenstein, Daniel J.
Goodman, Alyssa A.
Han, Jiwon Jesse
Kamdar, Harshil M.
Naidu, Rohan
Rix, Hans-Walter
Saydjari, Andrew K.
Ting, Yuan-Sen
Zelko, Ioana A.
author_facet Speagle, Joshua S.
Zucker, Catherine
Beane, Angus
Cargile, Phillip A.
Dotter, Aaron
Finkbeiner, Douglas P.
Green, Gregory M.
Johnson, Benjamin D.
Schlafly, Edward F.
Bonaca, Ana
Conroy, Charlie
Eadie, Gwendolyn
Eisenstein, Daniel J.
Goodman, Alyssa A.
Han, Jiwon Jesse
Kamdar, Harshil M.
Naidu, Rohan
Rix, Hans-Walter
Saydjari, Andrew K.
Ting, Yuan-Sen
Zelko, Ioana A.
contents We present brutus, an open source Python package for quickly deriving stellar properties, distances, and reddenings to stars based on grids of stellar models constrained by photometric and astrometric data. We outline the statistical framework for deriving these quantities, its implementation, and various Galactic priors over the 3-D distribution of stars, stellar properties, and dust extinction (including $R_V$ variation). We establish a procedure to empirically calibrate MIST v1.2 isochrones by using open clusters to derive corrections to the effective temperatures and radii of the isochrones, which reduces systematic errors on the lower main sequence. We also describe and apply a method to estimate photometric offsets between stellar models and observed data using nearby, low-reddening field stars. We perform a series of tests on mock and real data to examine parameter recovery with MIST under different modeling assumptions, illustrating that brutus is able to recover distances and other stellar properties using optical to near-infrared photometry and astrometry. The code is publicly available at https://github.com/joshspeagle/brutus.
format Preprint
id arxiv_https___arxiv_org_abs_2503_02227
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Deriving Stellar Properties, Distances, and Reddenings using Photometry and Astrometry with BRUTUS
Speagle, Joshua S.
Zucker, Catherine
Beane, Angus
Cargile, Phillip A.
Dotter, Aaron
Finkbeiner, Douglas P.
Green, Gregory M.
Johnson, Benjamin D.
Schlafly, Edward F.
Bonaca, Ana
Conroy, Charlie
Eadie, Gwendolyn
Eisenstein, Daniel J.
Goodman, Alyssa A.
Han, Jiwon Jesse
Kamdar, Harshil M.
Naidu, Rohan
Rix, Hans-Walter
Saydjari, Andrew K.
Ting, Yuan-Sen
Zelko, Ioana A.
Solar and Stellar Astrophysics
Astrophysics of Galaxies
Instrumentation and Methods for Astrophysics
We present brutus, an open source Python package for quickly deriving stellar properties, distances, and reddenings to stars based on grids of stellar models constrained by photometric and astrometric data. We outline the statistical framework for deriving these quantities, its implementation, and various Galactic priors over the 3-D distribution of stars, stellar properties, and dust extinction (including $R_V$ variation). We establish a procedure to empirically calibrate MIST v1.2 isochrones by using open clusters to derive corrections to the effective temperatures and radii of the isochrones, which reduces systematic errors on the lower main sequence. We also describe and apply a method to estimate photometric offsets between stellar models and observed data using nearby, low-reddening field stars. We perform a series of tests on mock and real data to examine parameter recovery with MIST under different modeling assumptions, illustrating that brutus is able to recover distances and other stellar properties using optical to near-infrared photometry and astrometry. The code is publicly available at https://github.com/joshspeagle/brutus.
title Deriving Stellar Properties, Distances, and Reddenings using Photometry and Astrometry with BRUTUS
topic Solar and Stellar Astrophysics
Astrophysics of Galaxies
Instrumentation and Methods for Astrophysics
url https://arxiv.org/abs/2503.02227