تقرير
Regression of Environmental Noise in LIGO Data
| العنوان: | Regression of Environmental Noise in LIGO Data |
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| المؤلفون: | Tiwari, Vaibhav, Drago, Marco, Frolov, Valery, Klimenko, Sergey, Mitselmakher, Guenakh, Necula, Valentin, Prodi, Giovanni, Re, Virginia, Salemi, Francesco, Vedovato, Gabriele, Yakushin, Igor |
| سنة النشر: | 2015 |
| المجموعة: | Astrophysics General Relativity and Quantum Cosmology |
| مصطلحات موضوعية: | General Relativity and Quantum Cosmology, Astrophysics - Instrumentation and Methods for Astrophysics |
| الوصف: | We address the problem of noise regression in the output of gravitational-wave (GW) interferometers, using data from the physical environmental monitors (PEM). The objective of the regression analysis is to predict environmental noise in the gravitational-wave channel from the PEM measurements. One of the most promising regression method is based on the construction of Wiener-Kolmogorov filters. Using this method, the seismic noise cancellation from the LIGO GW channel has already been performed. In the presented approach the Wiener-Kolmogorov method has been extended, incorporating banks of Wiener filters in the time-frequency domain, multi-channel analysis and regulation schemes, which greatly enhance the versatility of the regression analysis. Also we presents the first results on regression of the bi-coherent noise in the LIGO data. |
| نوع الوثيقة: | Working Paper |
| DOI: | 10.1088/0264-9381/32/16/165014 |
| URL الوصول: | http://arxiv.org/abs/1503.07476 |
| رقم الأكسشن: | edsarx.1503.07476 |
| قاعدة البيانات: | arXiv |
| DOI: | 10.1088/0264-9381/32/16/165014 |
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