# Enhancing gravitational waveform models through dynamic calibration

@article{Setyawati2019EnhancingGW, title={Enhancing gravitational waveform models through dynamic calibration}, author={Yoshinta Setyawati and Frank Ohme and Sebastian Khan}, journal={Physical Review D}, year={2019} }

Current gravitational-wave observations made by Advanced LIGO and Advanced Virgo use theoretical models that predict the signals generated by the coalescence of compact binaries. Detections to date have been in regions of the parameter space where systematic modeling biases have been shown to be small. However, we must now prepare for a future with observations covering a wider range of binary configurations, and ever increasing detector sensitivities placing higher accuracy demands on…

## 6 Citations

### Adding eccentricity to quasicircular binary-black-hole waveform models

- Physics, Geology
- 2021

The detection of gravitational-wave signals from coalescing eccentric binary black holes would yield unprecedented information about the formation and evolution of compact binaries in specific…

### Regression methods in waveform modeling: a comparative study

- Computer ScienceClassical and Quantum Gravity
- 2020

It is concluded that sophisticated regression methods are not necessarily needed in standard gravitational-wave modeling applications, although machine-learning techniques might be more suitable for problems with higher complexity than what is tested here.

### Including higher order multipoles in gravitational-wave models for precessing binary black holes

- PhysicsPhysical Review D
- 2020

Estimates of the source parameters of gravitational-wave (GW) events produced by compact binary mergers rely on theoretical models for the GW signal. We present the first frequency-domain model for…

### Phenomenological model for the gravitational-wave signal from precessing binary black holes with two-spin effects

- PhysicsPhysical Review D
- 2019

The properties of compact binaries, such as masses and spins, are imprinted in the gravitational waves (GWs) they emit and can be measured using parametrized waveform models. Accurately and…

### Gravitational-wave surrogate models powered by artificial neural networks

- Computer Science
- 2020

This paper uses artificial neural networks and the parallelisation power of graphics processing units (GPUs) to improve the surrogate modelling method, which can produce accelerated versions of existing models, and builds a time-domain surrogate model of the spin-aligned binary black hole waveform model SEOBNRv4.

### Multiwaveform inference of gravitational waves

- Computer SciencePhysical Review D
- 2020

This work provides a method to marginalize over the uncertainty in a set of waveform approximants by constructing a mixture-model multi-waveform likelihood, enabling the production of marginalized combined sample sets from independent runs.

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