<tt>iSTARMOD</tt> : A Python Code to Quantify Chromospheric Activity by Using the Spectral Subtraction Technique

Abstract The use of the spectral subtraction technique allows measurements of chromospheric activity in late-type stars across several activity indicators, such as H α and the other Balmer lines in the visible, He i D 3 and Na i D 1 , D 2 , Ca ii H and K, and Ca ii infrared triplet, as well as the Paschen series and He i λ 10830 lines in the near-infrared. iSTARMOD is an updated and extended version of the original STARMOD code and its subsequent modifications. iSTARMOD is presented in this paper as a Python code developed to quantify chromospheric activity by using the spectral subtraction technique. iSTARMOD improves usability, modularity, and integration with modern data analysis workflows and is publicly available, including several examples that help one learn how to use and test the code. The iSTARMOD code is accompanied here with a series of calibrations of χ -functions, to transform the excess emission equivalent widths measured through iSTARMOD into absolute surface fluxes. The method provided with this code and the corresponding flux calibrations allows for the automatic characterization of the chromospheric activity of a large number of spectra or a large number of stars and is also very useful for mitigating the effect of activity on radial velocities in the search for exoplanets.

Authors

Institutions

Publication Details

Journal
The Astronomical Journal
Published
2025-12-05
DOI
https://doi.org/10.3847/1538-3881/ae173e
Primary Topic
Stellar, planetary, and galactic studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

<tt>iSTARMOD</tt> : A Python Code to Quantify Chromospheric Activity by Using the Spectral Subtraction Technique

F. Labarga, D. Montes
The Astronomical Journal
Stellar, planetary, and galactic studies
article

<tt>iSTARMOD</tt> : A Python Code to Quantify Chromospheric Activity by Using the Spectral Subtraction Technique

F. Labarga, D. Montes
article en

Abstract

Abstract The use of the spectral subtraction technique allows measurements of chromospheric activity in late-type stars across several activity indicators, such as H α and the other Balmer lines in the visible, He i D 3 and Na i D 1 , D 2 , Ca ii H and K, and Ca ii infrared triplet, as well as the Paschen series and He i λ 10830 lines in the near-infrared. iSTARMOD is an updated and extended version of the original STARMOD code and its subsequent modifications. iSTARMOD is presented in this paper as a Python code developed to quantify chromospheric activity by using the spectral subtraction technique. iSTARMOD improves usability, modularity, and integration with modern data analysis workflows and is publicly available, including several examples that help one learn how to use and test the code. The iSTARMOD code is accompanied here with a series of calibrations of χ -functions, to transform the excess emission equivalent widths measured through iSTARMOD into absolute surface fluxes. The method provided with this code and the corresponding flux calibrations allows for the automatic characterization of the chromospheric activity of a large number of spectra or a large number of stars and is also very useful for mitigating the effect of activity on radial velocities in the search for exoplanets.

The Astronomical JournalVol. 171(1)
Universidad Complutense de Madrid (ES), Centre for Omic Sciences (ES)
Openalex Percentile: Top 74%
Stellar, planetary, and galactic studies
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.