Studies in astronomical time series analysis. I - Modeling random processes in the time domain
Abstract
Several random process models in the time domain are defined and discussed. Attention is given to the moving average model, the autoregressive model, and relationships between and combinations of these models. Consideration is then given to methods for investigating pulse structure, procedures of model construction, computational methods, and numerical experiments. A FORTRAN algorithm of time series analysis has been developed which is relatively stable numerically. Results of test cases are given to study the effect of adding noise and of different distributions for the pulse amplitudes. A preliminary analysis of the light curve of the quasar 3C 272 is considered as an example.
- Publication:
-
The Astrophysical Journal Supplement Series
- Pub Date:
- January 1981
- DOI:
- 10.1086/190706
- Bibcode:
- 1981ApJS...45....1S
- Keywords:
-
- Astronomy;
- Autoregressive Processes;
- Data Processing;
- Pulse Amplitude;
- Random Processes;
- Time Series Analysis;
- Algorithms;
- Autocorrelation;
- Convolution Integrals;
- Differential Equations;
- Fortran;
- Fourier Transformation;
- Laplace Transformation;
- Quasars;
- White Noise;
- Astronomy