Estimating the Reliability of the 2MASS-6X XSC

Method

1. Inspect each extended source. Sources are classified by their morphology into the general classes: galaxy, Galactic fuzz, star, double star, triple+ star, artifact, and "unknown". The latter refers to the inability to distinguish the class (these typically are low S/N blobs). See the document Visual Inspection of Extended Sources for more details of the process.

2a. Construct a "catalog" of 6X extended sources using the criteria:

2b. For generalized results, bin the data by mag (or S/N) and by the E/Gscores

3. Separate sources by their stellar number density environment (i.e., density).

4. Using the visual expection classifications as "truth", compile statistics of the "catalog" per K-band magnitude bin per density.

5. Build Reliability Matrix

6. Using R-matrix to estimate reliability for each 2MASS-6X extended source.

Input: K-mag ; E/G score ; density
Output: Reliability probability score


[Last Updated: 2003 Dec 29; by Tom Jarrett]