Mathematics – Logic
Scientific paper
Oct 1994
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1994soph..154..275g&link_type=abstract
Solar Physics (ISSN 0038-0938), vol. 154, no. 2, p. 275-308
Mathematics
Logic
83
Data Processing, Emission Spectra, Error Analysis, Solar Spectra, Solar Temperature, Solar X-Rays, Stellar Models, X Ray Astronomy, X Ray Spectra, Astronomical Spectroscopy, Calibrating, Data Reduction, Goes Satellites, Instrument Errors, Mathematical Models, Synchronous Meteorological Satellite, X Ray Spectroscopy
Scientific paper
This paper provides a detailed description of the procedure used for computing color temperature and emission measure from Geostationary Operational Environmental Satellite (GOES) X-ray data, including a table of constants for Synchronous Meteorological Satellite (SMS) and GOES X-ray sensors that are necessary for reducing the archived data from these satellites. Temperature and theoretical current tables were constructed, for individual GOES sensors, from laboratory calibrations of instrument responses and from synthetic solar X-ray spectra generated by two models of solar thermal X-ray emission: Raymond-Smith and Mewe-Alkemade. Example tables are shown and others are available on request. Errors that may be incurred from the use of GOES X-ray data in the computation of flare temperatures and emission measures may be classified under four major groups: instrument induced errors, including errors of calibration and random measurements errors; environmentally induced errors, due primarily to the ambient energetic electron background; solar influences, including the consequences of the isothermal assumption and the single-source assumption; and uncertainties in the modelled solar synthetic spectrum. These error sources are discussed separately, and a rough estimation of the collective error is made where this is quantitatively feasible. Finally, temperatures and emission measures are computed from GOES data and are compared with those derived from Solar Maximum Mission (SMM) and Hinotori soft X-ray spectrometer data and from broadband photometric data from the PROGNOZ satellite.
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