Empirical prediction of plasma emission measure distributions and X-EUV spectra of late-type stars
Antonio Maggio, Ignazio Pillitteri, Jorge Sanz-Forcada, and Giuseppina Micela

TL;DR
This study develops a method to predict the EUV and X-ray spectra of late-type stars using plasma emission measure distributions derived from observational data, accounting for spectral type and activity level variations.
Contribution
It introduces a simple recipe to estimate stellar XUV spectra based on surface X-ray flux and spectral type, improving spectral predictions without high-resolution spectroscopy.
Findings
EMDs can be modeled using stellar surface X-ray flux as a control parameter.
M-type stars differ in emission measure distributions compared to FGK stars at similar flux levels.
Uncertainties in flux estimates include chemical abundance knowledge and spectral modeling limitations.
Abstract
High-energy emission spectra from the outer atmospheres of late-type stars represent an important feature of the stellar activity in several contexts, such as the photoevaporation and photochemistry of planetary atmospheres or the modeling of irradiated circumstellar disks in young objects. An accurate determination of these spectra in the EUV and soft X-ray (XUV) band requires high-resolution spectroscopy, that is rarely feasible with current instrumentation. We employed a relatively large set of plasma emission measure distributions (EMDs) as a function of temperature, derived from FUV and X-ray emission line spectra acquired with the Hubble Space Telescope and Chandra or XMM-Newton, in order to devise a relatively simple recipe for predicting EMDs and XUV spectra of stars of different spectral types, activity levels, and plasma metallicity. We show that the EMDs in the range of…
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Taxonomy
TopicsStellar, planetary, and galactic studies · Astrophysical Phenomena and Observations · Astronomy and Astrophysical Research
