Journal
PHYSICAL REVIEW D
Volume 96, Issue 4, Pages -Publisher
AMER PHYSICAL SOC
DOI: 10.1103/PhysRevD.96.044005
Keywords
-
Funding
- Cambridge Commonwealth, European and International Trust
- European Union's Horizon research and innovation program under the Marie Sklodowska-Curie Grant [690904]
- STFC [ST/L000636/1]
- Science and Technology Facilities Council [ST/P000673/1, ST/L000636/1] Funding Source: researchfish
- STFC [ST/P000673/1, ST/L000636/1] Funding Source: UKRI
Ask authors/readers for more resources
The extreme-mass-ratio inspirals (EMRIs) of stellar-mass compact objects into massive black holes are an important class of source for the future space-based gravitational-wave detector LISA. Detecting signals from EMRIs will require waveform models that are both accurate and computationally efficient. In this paper, we present the latest implementation of an augmented analytic kludge (AAK) model, publicly available at https://github.com/alvincjk/EMRI_Kludge_Suite as part of an EMRI waveform software suite. This version of the AAK model has improved accuracy compared to its predecessors, with two-month waveform overlaps against a more accurate fiducial model exceeding 0.97 for a generic range of sources; it also generates waveforms 5-15 times faster than the fiducial model. The AAK model is well suited for scoping out data analysis issues in the upcoming round of mock LISA data challenges. A simple analytic argument shows that it might even be viable for detecting EMRIs with LISA through a semicoherent template bank method, while the use of the original analytic kludge in the same approach will result in around 90% fewer detections.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available