Appropriate Error Models: the Unseen Population

Details Appropriate Error Models: the Unseen Population Appropriate Error Models: the Unseen Population

Jan 2009

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009aas...21321107k&link_type=abstract

American Astronomical Society, AAS Meeting #213, #211.07; Bulletin of the American Astronomical Society, Vol. 41, p.283

Astronomy and Astrophysics

Astronomy

Scientific paper

Surveys and catalogs are often generated with a specific purpose in mind. This is an advantage in the short run, but can be crippling in the long run, because questions will be asked of these data that were not envisioned by the creators. When new analyses are performed, if the proper error model is not available for the data, the results of the analyses will be subject to biases and will be unreliable. The obvious solution to this problem is to retain all of the raw data, but that is not always feasible. This is especially troublesome for undetected sources, which can only be characterized by upper limits to their intensities. We discuss what is required to estimate these upper limits, what kind of information must be stored to enable it, and how much the storage could be decimated before systematic errors in the estimates become important.
This work is supported by the NASA/AISRP grant NNG06GF17G.

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