| タイトル | Studies in astronomical time series analysis: Modeling random processes in the time domain |
| 本文（外部サイト） | http://hdl.handle.net/2060/19800007594 |
| 著者（英） | Scargle, J. D. |
| 著者所属（英） | NASA Ames Research Center |
| 発行日 | 1979-12-01 |
| 言語 | eng |
| 内容記述 | Random process models phased in the time domain are used to analyze astrophysical time series data produced by random processes. A moving average (MA) model represents the data as a sequence of pulses occurring randomly in time, with random amplitudes. An autoregressive (AR) model represents the correlations in the process in terms of a linear function of past values. The best AR model is determined from sampled data and transformed to an MA for interpretation. The randomness of the pulse amplitudes is maximized by a FORTRAN algorithm which is relatively stable numerically. Results of test cases are given to study the effects of adding noise and of different distributions for the pulse amplitudes. A preliminary analysis of the optical light curve of the quasar 3C 273 is given. |
| NASA分類 | NUMERICAL ANALYSIS |
| レポートNO | 80N15854
NASA-TM-81148
A-7959 |
| 権利 | No Copyright |
| URI | https://repository.exst.jaxa.jp/dspace/handle/a-is/173598 |
