[Thesis] Fast Identification of continuous gravitational-wave signals
- Document #:
- LIGO-P2200409-v1
- Document type:
- P - Publications
Other Versions:
- Abstract:
- Continuous gravitational waves from non-axisymmetric spinning neutron stars are among the most interesting, although still undetected, targets of the Advanced LIGO-Virgo and KAGRA detectors. The search for this class of signals is difficult due to their expected weakness, and can be very computationally expensive when the source parameters are not known.
Stochastic gravitational-wave background searches use fast and consolidated cross-correlation techniques to search for either a stochastic background of gravi-
tational waves or persistent gravitational waves in specific sky directions. Recent investigations have shown that stochastic directional searches have the ability to detect continuous waves as well, with less sensitivity than continuous waves searches, but with low computing requirements.
Using the algorithms from both the specific continuous-wave searches and the stochastic directional ones, in this thesis I present an approach that aims to improve the efficiency of the data analysis applied to the continuous-wave field. Using the high parallel computing efficiency and computational power of the
modern Graphics Processing Units (GPUs), I show how an all-sky search algorithm has been ported to GPUs. This work brought to a speed-up of all-sky searches for
periodic signals by an order of magnitude, in terms of single device computational time.
In addition, I describe a joint stochastic-background and continuous-wave pipeline chain. I managed to combine the robustness of the stochastic cross-correlation searches, used to quickly identify continuous-wave signals, to the accuracy of the continuous waves dedicated codes to properly follow up interesting candidates.
- Files in Document:
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- La Rosa Iuri PhD Thesis (P2200409.pdf, 22.6 MB)
- Authors:
