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The Sun as an X-ray star V.: A new method to retrieve coronal filling factors

Wilhelmina Maryann Joseph, Beate Stelzer, Salvatore Orlando, Moritz Klawin

TL;DR

The paper introduces a new SaXS implementation that converts solar emission measure distributions into XSPEC multi-temperature components for four coronal region types and fits broad-band X-ray spectra to recover filling factors. Applied to two DAXSS solar spectra, it finds that quiescent emission is AR-dominated with $ff_{AR}\approx$22%, while a flare requires AR, CO, and FL-AVG with $ff_{AR}\approx$47.5%, $ff_{CO}\approx$4.1%, and $ff_{FL-AVG}\approx$0.062%, with validation against Hinode/XRT imaging showing general consistency. Limitations include a 0.7 keV low-energy cutoff and a small, nonuniform EMD sample, motivating future refinements of EMDs, abundances, and potential non-equilibrium effects. The approach provides a physically grounded framework to extract coronal structure distributions from unresolved stellar X-ray spectra, offering an interpretable alternative to traditional few-temperature fits and enabling robust inferences about stellar activity.

Abstract

Context. Stellar coronae are unresolved in X-rays, so inferences about their structure rely on spectral analysis. The "Sun-as-an-X-ray-star" (SaXS) approach uses the Sun as a spatially resolved template to interpret stellar spectra, but previous SaXS implementations were indirect and computationally heavy. Aims. We present a new SaXS implementation that converts solar emission measure distributions (EMDs) of distinct coronal region types into XSPEC spectral components and test whether broad-band X-ray spectra alone can recover their filling factors. Methods. We built XSPEC multi-temperature spectral models for four solar region types (background/quiet corona, active regions, cores, and flares) by using EMDs derived from Yohkoh/SXT data and translating each EMD bin into an isothermal apec component. These models were fit (using PyXspec) to two one-hour DAXSS spectra representative of quiescent (2022-06-29) and flaring (2022-04-25) states. Best-fit normalizations were converted into projected areas and filling factors and compared with near-coincident Hinode/XRT full-disk images. Results. Using the Yohkoh/SXT EMDs, the quiescent Sun spectrum is dominated by active region emission (filling factor ~22%), with the background corona poorly constrained. The flaring Sun spectrum is best described by a combination of active regions, cores, and flares with filling factors of ~47.5%, ~4.1%, and ~0.062%, respectively. The dominant components match spatial features seen in Hinode/XRT images. Limitations include the DAXSS low-energy cutoff (~0.7 keV) and the small, non-uniform Yohkoh EMD sample. Conclusions. Our SaXS implementation enables direct retrieval of coronal filling factors from broad-band X-ray spectra and provides a physically motivated alternative to ad hoc few-temperature fits, suitable for stellar X-ray analyses.

The Sun as an X-ray star V.: A new method to retrieve coronal filling factors

TL;DR

The paper introduces a new SaXS implementation that converts solar emission measure distributions into XSPEC multi-temperature components for four coronal region types and fits broad-band X-ray spectra to recover filling factors. Applied to two DAXSS solar spectra, it finds that quiescent emission is AR-dominated with 22%, while a flare requires AR, CO, and FL-AVG with 47.5%, 4.1%, and 0.062%, with validation against Hinode/XRT imaging showing general consistency. Limitations include a 0.7 keV low-energy cutoff and a small, nonuniform EMD sample, motivating future refinements of EMDs, abundances, and potential non-equilibrium effects. The approach provides a physically grounded framework to extract coronal structure distributions from unresolved stellar X-ray spectra, offering an interpretable alternative to traditional few-temperature fits and enabling robust inferences about stellar activity.

Abstract

Context. Stellar coronae are unresolved in X-rays, so inferences about their structure rely on spectral analysis. The "Sun-as-an-X-ray-star" (SaXS) approach uses the Sun as a spatially resolved template to interpret stellar spectra, but previous SaXS implementations were indirect and computationally heavy. Aims. We present a new SaXS implementation that converts solar emission measure distributions (EMDs) of distinct coronal region types into XSPEC spectral components and test whether broad-band X-ray spectra alone can recover their filling factors. Methods. We built XSPEC multi-temperature spectral models for four solar region types (background/quiet corona, active regions, cores, and flares) by using EMDs derived from Yohkoh/SXT data and translating each EMD bin into an isothermal apec component. These models were fit (using PyXspec) to two one-hour DAXSS spectra representative of quiescent (2022-06-29) and flaring (2022-04-25) states. Best-fit normalizations were converted into projected areas and filling factors and compared with near-coincident Hinode/XRT full-disk images. Results. Using the Yohkoh/SXT EMDs, the quiescent Sun spectrum is dominated by active region emission (filling factor ~22%), with the background corona poorly constrained. The flaring Sun spectrum is best described by a combination of active regions, cores, and flares with filling factors of ~47.5%, ~4.1%, and ~0.062%, respectively. The dominant components match spatial features seen in Hinode/XRT images. Limitations include the DAXSS low-energy cutoff (~0.7 keV) and the small, non-uniform Yohkoh EMD sample. Conclusions. Our SaXS implementation enables direct retrieval of coronal filling factors from broad-band X-ray spectra and provides a physically motivated alternative to ad hoc few-temperature fits, suitable for stellar X-ray analyses.
Paper Structure (20 sections, 8 equations, 14 figures, 1 table)

This paper contains 20 sections, 8 equations, 14 figures, 1 table.

Figures (14)

  • Figure 1: EMDs of the BKC, AR, CO and FL-AVG regions as described in Sect. \ref{['sect:intro']}. The y-axis shows the emission measure per unit area, in units of $10^{44}$ cm$^{-5}$. All EMDs shown here represent time-averaged distributions constructed from multiple snapshots of flares or other types of regions.
  • Figure 2: EMDs of the C5.8, M1.0, M1.1, M2.8, M4.2, M7.6, and X1.5 flares (individual colors) along with their weighted average EMD (FL-AVG, blue). The y-axis shows the emission measure per unit area, in units of $10^{44}$ cm$^{-5}$.
  • Figure 3: GOES X-ray flux in the 1-8 Å band (green) and DAXSS count rates for April 25, 2022 and June 29, 2022. Horizontal grey lines demarcate the GOES flare classes A, B, C, M and X. The epochs of the DAXSS spectra selected for analysis in this paper are marked in the DAXSS light curve as blue crosses and dashed vertical lines indicate the one-hour exposure time of the spectra. The Hinode synoptic images used to verify the SaXS method correspond to the time period indicated by the pink vertical band.
  • Figure 4: DAXSS spectra corresponding to the lowest and highest count rates in the DAXSS light curve along with arbitrarily scaled SaXS models of the various types of coronal regions. This demonstrates the steeper slope of the solar spectra compared with the spectrum of all types of coronal region which indicates an over-contribution of low-signal EM bins (see text in Sect. \ref{['subsect:refining-emd']}
  • Figure 5: DAXSS spectrum from 29 June 2022 representing the Quiescent Sun fitted with AR model alone (top) and with added BKC component (bottom).
  • ...and 9 more figures