Measuring Resolved Star Formation Histories from High-precision Color–Magnitude Diagrams with <tt>StarFormationHistories.jl</tt>

Abstract Understanding how and when galaxies formed stars over the history of the Universe is fundamental to the study of galaxy evolution. The star formation histories (SFHs) of galaxies in the local Universe can be measured with high precision using deep imaging with space telescopes. Such resolved SFHs are based on modeling the observed color–magnitude diagram (CMD) with stellar evolution models and rely on age-sensitive features like the main-sequence turnoff to measure a galaxy’s star formation rate as a function of time. There are many other population-level parameters that factor into these measurements, such as the stellar initial mass function (IMF), binary fraction, and metallicity, to name a few. We present and release StarFormationHistories.jl, a modular, open-source Julia package for measuring resolved SFHs with a focus on model flexibility for these types of population parameters. The code can model unresolved photometric binaries and supports arbitrary IMFs. Random uncertainties in the SFH measurements can be quantified with Monte Carlo posterior sampling methods. We illustrate the performance of the package on JWST/NIRCAM data of the Local Group dwarf irregular galaxy Wolf–Lundmark–Melotte <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mfenced close=")" open="("> <mml:mrow> <mml:msub> <mml:mrow> <mml:mi>M</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>v</mml:mi> </mml:mrow> </mml:msub> <mml:mo>≈</mml:mo> <mml:mo>−</mml:mo> <mml:mn>14.2</mml:mn> <mml:mspace width="0.25em"/> <mml:mspace width="0.1em"/> <mml:mtext>mag</mml:mtext> <mml:mspace width="0.1em"/> </mml:mrow> </mml:mfenced> </mml:math> , which exhibits a complex, well-sampled CMD, and Hubble Space Telescope/Advanced Camera for Surveys data of the ultrafaint Milky Way satellite dwarf galaxy Horologium I <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mfenced close=")" open="("> <mml:mrow> <mml:msub> <mml:mrow> <mml:mi>M</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>v</mml:mi> </mml:mrow> </mml:msub> <mml:mo>≈</mml:mo> <mml:mo>−</mml:mo> <mml:mn>3.7</mml:mn> <mml:mspace width="0.25em"/> <mml:mspace width="0.1em"/> <mml:mtext>mag</mml:mtext> <mml:mspace width="0.1em"/> </mml:mrow> </mml:mfenced> </mml:math> , which has a much simpler but sparser CMD.

Authors

Institutions

Publication Details

Journal
The Astrophysical Journal Supplement Series
Published
2025-04-01
DOI
https://doi.org/10.3847/1538-4365/adbb64
Citations
4
Primary Topic
Stellar, planetary, and galactic studies
Type
article
Field-Weighted Citation Impact
4.62

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Measuring Resolved Star Formation Histories from High-precision Color–Magnitude Diagrams with <tt>StarFormationHistories.jl</tt>

Nitya Kallivayalil, Mario Gennaro, Kristen B. W. McQuinn, Christopher T. Garling et al.
4 citations
The Astrophysical Journal Supplement Series
Stellar, planetary, and galactic studies
4.62
article

Measuring Resolved Star Formation Histories from High-precision Color–Magnitude Diagrams with <tt>StarFormationHistories.jl</tt>

Nitya Kallivayalil, Mario Gennaro, Kristen B. W. McQuinn, Christopher T. Garling, Roger E. Cohen, Jack T. Warfield
article en
4 citations

Abstract

Abstract Understanding how and when galaxies formed stars over the history of the Universe is fundamental to the study of galaxy evolution. The star formation histories (SFHs) of galaxies in the local Universe can be measured with high precision using deep imaging with space telescopes. Such resolved SFHs are based on modeling the observed color–magnitude diagram (CMD) with stellar evolution models and rely on age-sensitive features like the main-sequence turnoff to measure a galaxy’s star formation rate as a function of time. There are many other population-level parameters that factor into these measurements, such as the stellar initial mass function (IMF), binary fraction, and metallicity, to name a few. We present and release StarFormationHistories.jl, a modular, open-source Julia package for measuring resolved SFHs with a focus on model flexibility for these types of population parameters. The code can model unresolved photometric binaries and supports arbitrary IMFs. Random uncertainties in the SFH measurements can be quantified with Monte Carlo posterior sampling methods. We illustrate the performance of the package on JWST/NIRCAM data of the Local Group dwarf irregular galaxy Wolf–Lundmark–Melotte <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mfenced close=")" open="("> <mml:mrow> <mml:msub> <mml:mrow> <mml:mi>M</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>v</mml:mi> </mml:mrow> </mml:msub> <mml:mo>≈</mml:mo> <mml:mo>−</mml:mo> <mml:mn>14.2</mml:mn> <mml:mspace width="0.25em"/> <mml:mspace width="0.1em"/> <mml:mtext>mag</mml:mtext> <mml:mspace width="0.1em"/> </mml:mrow> </mml:mfenced> </mml:math> , which exhibits a complex, well-sampled CMD, and Hubble Space Telescope/Advanced Camera for Surveys data of the ultrafaint Milky Way satellite dwarf galaxy Horologium I <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mfenced close=")" open="("> <mml:mrow> <mml:msub> <mml:mrow> <mml:mi>M</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>v</mml:mi> </mml:mrow> </mml:msub> <mml:mo>≈</mml:mo> <mml:mo>−</mml:mo> <mml:mn>3.7</mml:mn> <mml:mspace width="0.25em"/> <mml:mspace width="0.1em"/> <mml:mtext>mag</mml:mtext> <mml:mspace width="0.1em"/> </mml:mrow> </mml:mfenced> </mml:math> , which has a much simpler but sparser CMD.

The Astrophysical Journal Supplement SeriesVol. 277(2)
Rutgers, The State University of New Jersey (US), Space Telescope Science Institute (US), Bloomberg (United States) (US), Johns Hopkins University (US), Université Bourgogne Franche-Comté (FR), University of Virginia (US)
National Aeronautics and Space Administration, California Institute of Technology, Space Telescope Science Institute, Jet Propulsion Laboratory
Openalex Percentile: Top 6%
Stellar, planetary, and galactic studies
4.62
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.