Automatic Identification of Solar X-ray Bright Points in Hinode X-ray Data

Details Automatic Identification of Solar X-ray Bright Points in Hinode X-ray Data Automatic Identification of Solar X-ray Bright Points in Hinode X-ray Data

May 2010

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010aas...21640516a&link_type=abstract

American Astronomical Society, AAS Meeting #216, #405.16; Bulletin of the American Astronomical Society, Vol. 41, p.891

Astronomy and Astrophysics

Astronomy

Scientific paper

We have automated a method that is used to find point sources in Chandra X-ray telescope data, to identify solar bright points in Hinode X-ray data. This tool, called lextrct, first identifies candidate sources that are brighter than the surrounding background. The algorithm also allows selected pixels to be excluded from the source-finding, thus allowing saturated pixels (from flares and/or active regions) to be ignored. We then use lextrct to fit the sources to two-dimensional, elliptical Gaussians. The size and orientation give an approximaton of the shape of the bright points. We are in the process of analyzing observations through the Al_poly filter with a four-second exposure time, to obtain a catalogue of bright points, which will include their sizes, lifetimes, intensities, and position on the solar disk.

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