Feature Classification of NSO/Kitt Peak Magnetograms

Details Feature Classification of NSO/Kitt Peak Magnetograms Feature Classification of NSO/Kitt Peak Magnetograms

May 2008

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008agusmsp31b..04m&link_type=abstract

American Geophysical Union, Spring Meeting 2008, abstract #SP31B-04

Mathematics

Probability

7524 Magnetic Fields, 7529 Photosphere

Scientific paper

We present new segmentations of daily NASA/NSO Spectromagnetograph (SPM) multidimensional magnetograms obtained at the NSO/Kitt Peak Vacuum Telescope from 1992-2003. Full-disk images are divided into areas of quiet Sun, network, active regions, and sunspots using a three-dimensional adaptation of a statistical image classification method developed by Turmon, Pap, and Mukhtar (ApJ 568:396-407, 2002). Probability distributions for each feature class are derived from a training set of images independently segmented using thresholds in magnetic flux and continuum intensity. We summarize our analysis procedures and compare segmentations derived from class-conditional probabilities computed with Gaussian mixture models and histogram interpolation. We also compare our segmentations with features identified by other methods and with solar irradiance variation.

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