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Journal Article

#### Optimally setting up directed searches for continuous gravitational waves in Advanced LIGO O1 data

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##### Fulltext (public)

1708.02173.pdf

(Preprint), 10MB

##### Supplementary Material (public)

There is no public supplementary material available

##### Citation

Ming, J., Papa, M. A., Krishnan, B., Prix, R., Beer, C., Zhu, S., et al. (2018). Optimally
setting up directed searches for continuous gravitational waves in Advanced LIGO O1 data.* Physical
Review D,* *97*: 024051. doi:10.1103/PhysRevD.97.024051.

Cite as: http://hdl.handle.net/11858/00-001M-0000-002D-DB33-2

##### Abstract

In this paper we design a search for continuous gravitational waves from
three supernova remnants: Vela Jr., Cassiopeia A (Cas A) and G347.3. These
systems might harbor rapidly rotating neutron stars emitting quasi-periodic
gravitational radiation detectable by the advanced LIGO detectors. Our search
is designed to use the volunteer computing project Einstein@Home for a few
months and assumes the sensitivity and duty cycles of the advanced LIGO
detectors during their first science run. For all three supernova remnants, the
sky-positions of their central compact objects are well known but the frequency
and spin-down rates of the neutron stars are unknown which makes the searches
computationally limited. In a previous paper we have proposed a general
framework for deciding on what target we should spend computational resources
and in what proportion, what frequency and spin-down ranges we should search
for every target, and with what search set-up. Here we further expand this
framework and apply it to design a search directed at detecting continuous
gravitational wave signals from the most promising three supernova remnants
identified as such in the previous work. Our optimization procedure yields
broad frequency and spin-down searches for all three objects, at an
unprecedented level of sensitivity: The smallest detectable gravitational wave
strain $h_0$ for Cas A is expected to be 2 times smaller than the most
sensitive upper-limits published to date, and our proposed search, which was
set-up and ran on the volunteer computing project Einstein@Home, covers a much
larger frequency range.