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DEM Reconstruction: A Markov-Chain Monte-Carlo Approach
Vinay Kashyap and Jeremy Drake
Smithsonian Astophysical Observatory, 60 Garden St., Cambridge, MA 02138
Abstract
We describe a Markov-Chain Monte-Carlo process using a
Metropolis algorithm to derive Differential Emission
Measures (DEMs) and element abundances from EUV line
fluxes. This technique allows us to relax the smoothness
constraint generally imposed on DEMs and also to determine
confidence bounds on the computed values. We apply this
method to solar spectral line data from SERTS (Solar EUV
Rocket Telescope and Spectrograph).
PostScript File
- kashyav1.ps (446 kB)
Sections
- 1. Introduction
- 2. Algorithm
- 3. SERTS Data
- 4. Results
Submitted Materials
These 8 files all use the Ov applet.
- f1QFlRay.htm - Active Region Emission Measures, Feldman et al. abundances, Raymond ion balances
- f1QFlRot.htm - Active Region Emission Measuress, Feldman et al. abundances, Rothenflug ion balances
- f1QGrRay.htm - Active Region Emission Measures, Grevesse, et al. abundances, Raymond ion balances
- f1QGrRot.htm - Active Region Emission Measures, Grevesse, et al. abundances, Rothenflug ion balances
- f1QFlRay.htm - Quiet Sun Emission Measuress, Feldman et al. abundances, Raymond ion balances
- f1QFlRot.htm - Quiet Sun Emission Measuress, Feldman et al. abundances, Rothenflug ion balances
- f1QGrRay.htm - Quiet Sun Emission Measures, Grevesse, et al. abundances, Raymond ion balances
- f1QGrRot.htm - Quiet Sun Emission Measures, Grevesse, et al. abundances, Rothenflug ion balances
Objects
References
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Bibliographical Information
V. Kashyap and J. Drake 1998, in ASP Conf. Ser. 154, The Tenth Cambridge Workshop on Cool Stars, Stellar Systems, and the Sun, eds. R.A. Donahue & J.A. Bookbinder (San Francisco: ASP), 844
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