Methods for the Quasi-Periodic Variability Analysis in Blazars

Details Methods for the Quasi-Periodic Variability Analysis in Blazars Methods for the Quasi-Periodic Variability Analysis in Blazars

Jun 2011

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011japa...32...79l&link_type=abstract

Journal of Astrophysics and Astronomy, Volume 32, Issue 1-2, pp. 79-86

Astronomy and Astrophysics

Astrophysics

Method, Quasi-Periodic Analysis, Unevenly Sampled Time Series Analysis, Quasi-Periodic Analysis—Unevenly Sampled Time Series Analysis

Scientific paper

In this work, four methods are introduced to analyse the unevenly sampled data. The four methods are power spectral density, auto-correlation function, structure function and Jurkevich method. Some interesting mathematical links are derived amongst the four methods. These links show that the four methods have the same performance. For the Jurkevich method, the effect of the width of bins is apparent. If the width is half the time scale, the method has better performance.

Affiliated with

Also associated with

No associations

Rating

Methods for the Quasi-Periodic Variability Analysis in Blazars 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 Methods for the Quasi-Periodic Variability Analysis in Blazars, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Methods for the Quasi-Periodic Variability Analysis in Blazars will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-918974