The Gravitational Wave Universe Toolbox: A software package to simulate observation of the Gravitational Wave Universe with different detectors

Yi, Shu-Xu; Nelemans, Gijs; Brinkerink, Christiaan; Kostrzewa-Rutkowska, Zuzanna; Timmer, Sjoerd T.; Stoppa, Fiorenzo; Rossi, Elena M.; Zwart, Simon F. Portegies

doi:10.48550/arxiv.2106.13662

Cited by 6 publications

(9 citation statements)

References 82 publications

(119 reference statements)

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“…Here we will give a brief summary of the method. For details, we refer to Yi et al (2021). We first calculate a function D(z, m 1 , m 2 ), which represents the detectability of a BBH with redshift z, primary and secondary masses m 1 , Shu-Xu Yi, Fiorenzo Stoppa, Gijs Nelemans, Eric Cator: The GW-Universe Toolbox II: constraining the binary black hole population with second and third generation detectors m 2 .…”

Section: Methodsmentioning

confidence: 99%

“…The other ingredient is the merger rate density distribution of BBH in the Universe, ṅ(z, m 1 , m 2 ). In the GW-Universe Toolbox, we integrate two parameterized function forms for ṅ(z, m 1 , m 2 ), namely pop-A and pop-B (see Yi et al 2021 for the description on the population models). For more sophisticated ṅ(z, m 1 , m 2 ) from population synthesis simulations, see Belczynski et al (2002); The distribution of detectable sources, which we denote as N (z, m 1 , m 2 ) can be calculated with:…”

Section: Methodsmentioning

confidence: 99%

“…The underlying population model for ṅ(z, m 1 , m 2 ) is pop-A, with parameters: R n = 13 Gpc −3 yr −1 , τ = 3 Gyr, µ = 3, c = 6, γ = 2.5, m cut = 95 M , q cut = 0.4, σ = 0.1. Those parameters are chosen because they result in simulated catalogues which are in compatible with the real observations (see Yi et al 2021).…”

Section: Cataloguesmentioning

confidence: 99%

“…Therefore, we are building a set of simulating tools which has the flexibility to different detectors, observation duration, source populations and cosmological models. The GW-Universe Toolbox is such a tool set that simulates observations of the GW Universe with different types of GW detectors including Earth-based/Space-borne laser interferometers and Pulsar timing arrays (Yi et al 2021). It is accessible as a website 1 , or run locally as a Python package.…”

Section: Introductionmentioning

confidence: 99%

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The GW-Universe Toolbox II: constraining the binary black hole population with second and third generation detectors

Yi,

Stoppa,

Nelemans

et al. 2022

Preprint

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Context:The GW-Universe Toolbox is a software package that simulates observations of the Gravitational Wave (GW) Universe with different types of GW detectors, including Earth-based/Space-borne laser interferometers and Pulsar timing arrays. It is accessible as a website, and can also be imported as a Python module and run locally. Methods: We employ the GW-Universe Toolbox to generate synthetic catalogues of detections of stellar mass binary black hole (BBH) mergers. As an example of its scientific application, we study how GW observations of BBHs can be used to constrain the merger rate as function of redshift and masses. We study advanced LIGO (aLIGO) and Einstein Telescope (ET) as two representatives for the 2nd and 3rd generation GW observatories. We also simulate the observations from a detector that is half as sensitive as the ET in design which represents an early phase of ET. Two methods are used to obtain the constraints on the source population properties from the catalogues: the first assumes a parametric differential merger rate model and applies a Bayesian inference; The other is non-parametric and uses weighted Kernel density estimators. Results: The results show the overwhelming advantages of the 3rd generation detector over the 2nd generation for the study of BBH population properties, especially at a redshifts higher than ∼ 2, where the merger rate is believed to peak. With the LIGO catalogue, the parametric Bayesian method can still give some constraints on the merger rate density and mass function beyond its detecting horizon, while the non-parametric method lose the constraining ability completely there. The difference is due to the extra information placed by assuming a specific parameterisation of the population model in the Bayesian method; While in the non-parametric method, no assumption of the general shape of merger rate density and mass function are placed, not even the assumption of its smoothness. These two methods represent the two extreme situations of general population reconstruction. We also find that, despite the numbers of detection of the half-ET can be easily compatible with full ET after a longer observation duration, the catalogue from the full ET can still give much better constraints on the population properties, due to its smaller uncertainties on the physical parameters of the GW events.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Cataloguesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The GW-Universe Toolbox II: constraining the binary black hole population with second and third generation detectors

Yi,

Stoppa,

Nelemans

et al. 2022

Preprint

Self Cite

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“…We note that LEGWORK is not the only initiative of this kind. We highlight the "Gravitational Wave Uni-verse Toolbox" presented by Yi et al (2021) which was developed to simulate observations on the GW universe with different detectors covering the full gravitationalwave spectrum and source classes. We also highlight "GWPlotter" by (Moore et al 2015), which provides an interactive plotting tool to compare the sensitivity of different gravitational wave detectors.…”

Section: Introductionmentioning

confidence: 99%

LEGWORK: A python package for computing the evolution and detectability of stellar-origin gravitational-wave sources with space-based detectors

Wagg,

Breivik,

de Mink

2021

Preprint

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We present LEGWORK (LISA Evolution and Gravitational Wave Orbit Kit), an open-source Python package for making predictions about stellar-origin gravitational wave sources and their detectability in LISA or other space-based gravitational wave detectors. LEGWORK can be used to evolve the orbits of sources due to gravitational wave emission, calculate gravitational wave strains (using post-Newtonian approximations), compute signal-to-noise ratios and visualise the results. It can be applied to a variety of potential sources, including binaries consisting of white dwarfs, neutron stars and black holes. Although we focus on double compact objects, in principle LEGWORK can be used for any system with a user-specified orbital evolution, such as those affected by a third object or gas drag. We optimised the package to make it efficient for use in population studies which can contain tensof-millions of sources. This paper describes the package and presents several potential use cases. We explain in detail the derivations of the expressions behind the package as well as identify and clarify some discrepancies currently present in the literature. We hope that LEGWORK will enable and accelerate future studies triggered by the rapidly growing interest in gravitational wave sources.

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Uncertainty limits on neutron star radius measurements with gravitational waves

Chatziioannou

2022

Phys. Rev. D

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Upcoming observing campaigns with improved detectors will yield numerous detections of gravitational waves from neutron star binary inspirals. Rare loud signals together with numerous signals of moderate strength promise stringent constraints on the properties of neutron star matter, with a projected radius statistical uncertainty of 50-200 m with Oð2000Þ sources. Given this precision we revisit all analysis assumptions and identify sources of systematic errors, quantify their impact on radius extraction, and discuss their relative importance and ways to mitigate them.

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The Gravitational Wave Universe Toolbox: A software package to simulate observation of the Gravitational Wave Universe with different detectors

Cited by 6 publications

References 82 publications

The GW-Universe Toolbox II: constraining the binary black hole population with second and third generation detectors

The GW-Universe Toolbox II: constraining the binary black hole population with second and third generation detectors

LEGWORK: A python package for computing the evolution and detectability of stellar-origin gravitational-wave sources with space-based detectors

Uncertainty limits on neutron star radius measurements with gravitational waves

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