The long-term evolution of AR 7978: The scalings of the coronal plasma parameters with the mean photospheric magnetic field

We analyze the evolution of the fluxes observed in X-rays and correlate them with the magnetic flux density in active region (AR) NOAA 7978 from its birth throughout its decay, for five solar rotations. We use Solar and Heliospheric Observatory Michelson Doppler Imager (MDI) data, together with Yohk...

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Autores principales: Van Driel-Gesztelyi, L., Démoulin, P., Mandrini, C.H., Harra, L., Klimchuk, J.A.
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Acceso en línea:http://hdl.handle.net/20.500.12110/paper_0004637X_v586_n1I_p579_VanDrielGesztelyi
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spelling todo:paper_0004637X_v586_n1I_p579_VanDrielGesztelyi2023-10-03T14:01:53Z The long-term evolution of AR 7978: The scalings of the coronal plasma parameters with the mean photospheric magnetic field Van Driel-Gesztelyi, L. Démoulin, P. Mandrini, C.H. Harra, L. Klimchuk, J.A. Sun: corona Sun: magnetic fields Sun: X-rays, gamma rays We analyze the evolution of the fluxes observed in X-rays and correlate them with the magnetic flux density in active region (AR) NOAA 7978 from its birth throughout its decay, for five solar rotations. We use Solar and Heliospheric Observatory Michelson Doppler Imager (MDI) data, together with Yohkoh Soft X-Ray Telescope (SXT) and Yohkoh Bragg Crystal Spectrometer (BCS) data, to determine the global evolution of the temperature and the emission measure of the coronal plasma at times when no significant brightenings were observed. We show that the mean X-ray flux and derived parameters, temperature and emission measure (together with other quantities deduced from them, such as the density and the pressure), of the plasma in the AR follow power-law relationships with the mean magnetic flux density (B̄). The exponents (b) of these power-law functions (aB̄b) are derived using two different statistical methods, a classical least-squares method in log-log plots and a nonparametric method, which takes into account the fact that errors in the data may not be normally distributed. Both methods give similar exponents, within error bars, for the mean temperature and for both instruments (SXT and BCS); in particular, b stays in the range [0.27, 0.31] and [0.24, 0.57] for full-resolution SXT images and BCS data, respectively. For the emission measure, the exponent b lies in the range [0.85, 1.35] and [0.45, 1.96] for SXT and BCS, respectively. The determination of such power-law relations, when combined with the results from coronal heating models, can provide us with powerful tools for determining the mechanism responsible for the existence of the high-temperature corona. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_0004637X_v586_n1I_p579_VanDrielGesztelyi
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Sun: corona
Sun: magnetic fields
Sun: X-rays, gamma rays
spellingShingle Sun: corona
Sun: magnetic fields
Sun: X-rays, gamma rays
Van Driel-Gesztelyi, L.
Démoulin, P.
Mandrini, C.H.
Harra, L.
Klimchuk, J.A.
The long-term evolution of AR 7978: The scalings of the coronal plasma parameters with the mean photospheric magnetic field
topic_facet Sun: corona
Sun: magnetic fields
Sun: X-rays, gamma rays
description We analyze the evolution of the fluxes observed in X-rays and correlate them with the magnetic flux density in active region (AR) NOAA 7978 from its birth throughout its decay, for five solar rotations. We use Solar and Heliospheric Observatory Michelson Doppler Imager (MDI) data, together with Yohkoh Soft X-Ray Telescope (SXT) and Yohkoh Bragg Crystal Spectrometer (BCS) data, to determine the global evolution of the temperature and the emission measure of the coronal plasma at times when no significant brightenings were observed. We show that the mean X-ray flux and derived parameters, temperature and emission measure (together with other quantities deduced from them, such as the density and the pressure), of the plasma in the AR follow power-law relationships with the mean magnetic flux density (B̄). The exponents (b) of these power-law functions (aB̄b) are derived using two different statistical methods, a classical least-squares method in log-log plots and a nonparametric method, which takes into account the fact that errors in the data may not be normally distributed. Both methods give similar exponents, within error bars, for the mean temperature and for both instruments (SXT and BCS); in particular, b stays in the range [0.27, 0.31] and [0.24, 0.57] for full-resolution SXT images and BCS data, respectively. For the emission measure, the exponent b lies in the range [0.85, 1.35] and [0.45, 1.96] for SXT and BCS, respectively. The determination of such power-law relations, when combined with the results from coronal heating models, can provide us with powerful tools for determining the mechanism responsible for the existence of the high-temperature corona.
format JOUR
author Van Driel-Gesztelyi, L.
Démoulin, P.
Mandrini, C.H.
Harra, L.
Klimchuk, J.A.
author_facet Van Driel-Gesztelyi, L.
Démoulin, P.
Mandrini, C.H.
Harra, L.
Klimchuk, J.A.
author_sort Van Driel-Gesztelyi, L.
title The long-term evolution of AR 7978: The scalings of the coronal plasma parameters with the mean photospheric magnetic field
title_short The long-term evolution of AR 7978: The scalings of the coronal plasma parameters with the mean photospheric magnetic field
title_full The long-term evolution of AR 7978: The scalings of the coronal plasma parameters with the mean photospheric magnetic field
title_fullStr The long-term evolution of AR 7978: The scalings of the coronal plasma parameters with the mean photospheric magnetic field
title_full_unstemmed The long-term evolution of AR 7978: The scalings of the coronal plasma parameters with the mean photospheric magnetic field
title_sort long-term evolution of ar 7978: the scalings of the coronal plasma parameters with the mean photospheric magnetic field
url http://hdl.handle.net/20.500.12110/paper_0004637X_v586_n1I_p579_VanDrielGesztelyi
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