Statistics – Computation
Scientific paper
Jan 2011
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011aas...21714210l&link_type=abstract
American Astronomical Society, AAS Meeting #217, #142.10; Bulletin of the American Astronomical Society, Vol. 43, 2011
Statistics
Computation
Scientific paper
Multiple timescales of variability are observed in quasars at a variety of wavelengths, the nature of which is not fully understood. In 2007 and 2008, the quasar 1749+096 underwent two unprecedented optical outbursts, reaching a brightness never before seen in our twenty years of monitoring. Much lower level activity had been seen prior to these two outbursts. We present an analysis of the timescales of variability over the two regimes using a variety of statistical techniques. An IDL software package developed at Colgate University over the summer of 2010, the Quasar User Interface (QUI), provides effective computation of four time series functions for analyzing underlying trends present in generic, discretely sampled data sets. Using the Autocorrelation Function, Structure Function, and Power Spectrum, we are able to quickly identify possible variability timescales. QUI is also capable of computing the Cross-Correlation Function for comparing variability at different wavelengths. We apply these algorithms to 1749+096 and present our analysis of the timescales for this object. Funding for this project was received from Colgate University, the Justus and Jayne Schlichting Student Research Fund, and the NASA / New York Space Grant.
Balonek Thomas J.
Lam Michael T.
No associations
LandOfFree
Time Series Analysis of the Quasar PKS 1749+096 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 Time Series Analysis of the Quasar PKS 1749+096, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Time Series Analysis of the Quasar PKS 1749+096 will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1394236