| Автор | Soma Mukherjee |
| Дата выпуска | 2004-10-21 |
| dc.description | This study describes algorithms developed for modelling interferometric noise in a realistic manner, i.e. incorporating non-stationarity that can be seen in the data from the present generation of interferometers. The noise model is based on individual component models (ICM) with the application of auto regressive moving average (ARMA) models. The data obtained from the model are vindicated by standard statistical tests, e.g. the KS test and Akaike minimum criterion. The results indicate a very good fit. The advantage of using ARMA for ICMs is that the model parameters can be controlled and hence injection and efficiency studies can be conducted in a more controlled environment. This realistic non-stationary noise generator is intended to be integrated within the data monitoring tool framework. |
| Формат | application.pdf |
| Издатель | Institute of Physics Publishing |
| Копирайт | 2004 IOP Publishing Ltd |
| Название | Interferometric data modelling: issues in realistic data generation |
| Тип | paper |
| DOI | 10.1088/0264-9381/21/20/021 |
| Electronic ISSN | 1361-6382 |
| Print ISSN | 0264-9381 |
| Журнал | Classical and Quantum Gravity |
| Том | 21 |
| Первая страница | S1783 |
| Последняя страница | S1792 |
| Аффилиация | Soma Mukherjee; Department of Physics and Astronomy, University of Texas at Brownsville, Brownsville, TX 78520, USA |
| Выпуск | 20 |
