A new data analysis framework for the search of continuous gravitational wave signals

被引：38
|
作者：
Piccinni, O. J. [1 ,2 ]
Astone, P. [2 ]
D'Antonio, S. [3 ]
Frasca, S. [1 ,2 ]
Intini, G. [1 ,2 ]
Lead, P. [1 ,2 ]
Mastrogiovanni, S. [1 ,2 ]
Miller, A. [1 ,2 ,4 ]
Palomba, C. [2 ]
Singhal, A. [2 ]
机构：
[1] Univ Roma La Sapienza, I-00185 Rome, Italy
[2] INFN, Sez Roma, I-00185 Rome, Italy
[3] INFN, Sez Roma Tor Vergata, I-00133 Rome, Italy
[4] Univ Florida, Gainesville, FL 32611 USA
来源：
CLASSICAL AND QUANTUM GRAVITY | 2019年 / 36卷 / 01期
关键词：
neutron stars; gravitational waves; data analysis; HIERARCHICAL SEARCH;
D O I：
10.1088/1361-6382/aaefb5
中图分类号：
P1 [天文学];
学科分类号：
0704 ;
摘要：
Continuous gravitational wave signals, like those expected by asymmetric spinning neutron stars, are among the most promising targets for LIGO and Virgo detectors. The development of fast and robust data analysis methods is crucial to increase the chances of a detection. We have developed a new and flexible general data analysis framework for the search of this kind of signals, which allows to reduce the computational cost of the analysis by about two orders of magnitude with respect to current procedures. This can correspond, at fixed computing cost, to a sensitivity gain of up to 10%-20%, depending on the search parameter space. Some possible applications are discussed, with a particular focus on a directed search for sources in the Galactic center. Validation through the injection of artificial signals in the data of Advanced LIGO first observational science run is also shown.
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页数：18
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