Astronomy and Astrophysics – Astronomy
Scientific paper
Dec 2010
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010aspc..434..505c&link_type=abstract
Astronomical Data Analysis Software and Systems XIX. Proceedings of a conference held October 4-8, 2009 in Sapporo, Japan. Edite
Astronomy and Astrophysics
Astronomy
Scientific paper
Ground-based studies of quasar variability on timescales of minutes have the potential to examine the smallest-scale structures. Since rapid variability in quasars results in millimagnitude variations it is imperative that the photometry be very precise. The standard approach is to use differential photometry, where the magnitude of the quasar is compared to that of selected reference stars in the instruments field-of-view. In such cases, the choice of reference star becomes important. Our work enables, for a given target, the development of software capable of making decisions about the best choice of reference stars for differential photometry. The aptness of targets is determined, generating a figure of merit. Grid computing allows for large catalogues to be analysed in this way; and also allows for a ranking of potential targets to be constructed. This will result in the discovery of quasars that serendipitously reside within fields of view most suitable for high precision differential photometry.
Briain Ta.
Creaner O.
Hickey E.
Nolan Kevin
Smith Nathan
No associations
LandOfFree
Large-Catalogue Optimisation of Quasar Differential Photometry Fields by Grid Computing does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Large-Catalogue Optimisation of Quasar Differential Photometry Fields by Grid Computing, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Large-Catalogue Optimisation of Quasar Differential Photometry Fields by Grid Computing will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1384903