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:
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
Effective Relability (EffR) = 1.0 - (N_false_expected / N_true_expected)
This is the reliability after factoring in knowledge of "false" sources (that is,
we may remove false extended sources from the "Catalog", leaving a more
reliable product); where
N_false_expected is total number of "expected" false sources minus the
total number of known false sources, and N_true_expected is the total
number of "expected" true extended sources. The rate of true extended sources
is the total number of known true extended sources divided by the
total number of sources (both true and false). Note that for mag intervals
in which the visual inspection is fully complete, one can in principle construct
a catalog that is 100% reliable.
Internal Completeness (iC) = N_true / N_true-total
where N_true is the total number of "catalog" extended sources per
mag bin interval, and N_true-total is the total number of extended sources
per mag bin interval that are detected with 2MASS-6X.
Input: K-mag ; E/G score ; density
Output: Reliability probability score