Forecasting 
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 cosmology with 
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 background using standard sirens

Ferreira, José; Barreiro, Tiago; Mimoso, José P.; Nunes, Nelson J.

doi:10.1103/physrevd.105.123531

Cited by 27 publications

(6 citation statements)

References 29 publications

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“…In order to get rid of any potential bias from a particular mock catalogue, we generate 500 mock catalogues of observable bright siren events for each case of our study (see Table 1). We also make some modifications to the methodology outlined in Ferreira et al (2022) to make the catalogues more realistic as mentioned in Shah et al (2023). Here is a brief outline of our adopted methodology:…”

Section: Generation Of Mock Gw Cataloguesmentioning

confidence: 99%

“…As demonstrated by Belgacem et al, ET is expected to observe 10 3 binary neutron star (BNS) merger events over an observation period of 3 years. It is expected to observe events from a minimum of 𝑧 = 0.07 to a maximum of 𝑧 ∼ 2 (Ferreira et al 2022 to observe ∼ 25 massive black hole binary (MBHB) coalescence events for 'No Delay' (Koushiappas et al 2004;Volonteri et al 2008) sources over a mission duration of 3 years up to redshifts as high as 𝑧 ∼ 7 − 8. Keeping these analyses in mind, we generate the mock catalogues so as to give reliable number of data points for each mission.…”

Section: Generation Of Mock Gw Cataloguesmentioning

confidence: 99%

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Reconstructing the Hubble parameter with future Gravitational Wave missions using Machine Learning

Mukherjee¹,

Shah²,

Bhaumik³

et al. 2023

Preprint

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We study the prospects of Machine Learning algorithms like Gaussian processes (GP) as a tool to reconstruct the Hubble parameter 𝐻 (𝑧) with two upcoming gravitational wave missions, namely the evolved Laser Interferometer Space Antenna (eLISA) and the Einstein Telescope (ET). We perform non-parametric reconstructions of 𝐻 (𝑧) with GP using realistically generated catalogues, assuming various background cosmological models, for each mission. We also take into account the effect of early-time and late-time priors separately on the reconstruction, and hence on the Hubble constant (𝐻 0 ). Our analysis reveals that GPs are quite robust in reconstructing the expansion history of the Universe within the observational window of the specific mission under study. We further confirm that both eLISA and ET would be able to constrain 𝐻 (𝑧) and 𝐻 0 to a much higher precision than possible today, and also find out their possible role in addressing the Hubble tension for each model, on a case-by-case basis.

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Section: Generation Of Mock Gw Cataloguesmentioning

confidence: 99%

Section: Generation Of Mock Gw Cataloguesmentioning

confidence: 99%

Reconstructing the Hubble parameter with future Gravitational Wave missions using Machine Learning

Mukherjee¹,

Shah²,

Bhaumik³

et al. 2023

Preprint

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show abstract

“…In order to get rid of any potential bias from a particular mock catalog, we generated 500 mock catalogs of observable bright siren events for each case in our study (see Table 2). We also make some modifications to the methodology outlined in Ferreira et al (2022) to make the catalogs more realistic as mentioned in Shah et al (2023). Here is a brief outline of our adopted methodology:…”

Section: Notementioning

confidence: 99%

Reconstructing the Hubble Parameter with Future Gravitational-wave Missions Using Machine Learning

Mukherjee,

Shah,

Bhaumik

et al. 2023

ApJ

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We study the prospects of Gaussian processes (GPs), a machine-learning (ML) algorithm, as a tool to reconstruct the Hubble parameter H(z) with two upcoming gravitational-wave (GW) missions, namely, the evolved Laser Interferometer Space Antenna (eLISA) and the Einstein Telescope (ET). Assuming various background cosmological models, the Hubble parameter has been reconstructed in a nonparametric manner with the help of a GP using realistically generated catalogs for each mission. The effects of early-time and late-time priors on the reconstruction of H(z), and hence on the Hubble constant (H 0), have also been focused on separately. Our analysis reveals that a GP is quite robust in reconstructing the expansion history of the Universe within the observational window of the specific missions under consideration. We further confirm that both eLISA and ET would be able to provide constraints on H(z) and H 0, which would be competitive to those inferred from current data sets. In particular, we observe that an eLISA run of a ∼10 yr duration with ∼80 detected bright siren events would be able to constrain H 0 as precisely as a ∼3 yr ET run assuming ∼1000 bright siren event detections. Further improvement in precision is expected for longer eLISA mission durations such as a ∼15 yr time frame having ∼120 events. Lastly, we discuss the possible role of these future GW missions in addressing the Hubble tension, for each model, on a case-by-case basis.

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“…This extension of the symmetric teleparallel formalism has gained attention from the cosmology community as a potential avenue for exploring new physics beyond the conventional Λ CDM cosmology. Particular forms of the f (Q) function have been demonstrated to alleviate the σ8 tension [5], whereas others enable a more accurate representation of cosmological data [6][7][8]. Recently, some interesting cosmological implications of the f (Q) gravity in the different context have been appeared, for instance, Black hole physics [9,10], Neutrino physics [11], Quantum cosmology [12,13], Bouncing Cosmology [14], Inflation [15], Phantom cosmology [16], Astrophysical objects [17,18], Cosmological perturbations [19], BBN constraints [20], and many others [21][22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Dynamical system analysis of scalar field cosmology in coincident f(Q) gravity

Ghosh,

Solanki,

Sahoo

2024

Phys. Scr.

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In this article, we investigate scalar field cosmology in the coincident $f(Q)$ gravity formalism. We calculate the motion equations of $f(Q)$ gravity under the flat Friedmann-Lema\^{i}tre-Robertson-Walker background in the presence of a scalar field. We consider a non-linear $f(Q)$ model, particularly $f(Q)=-Q+\alpha Q^n$, which is nothing but a polynomial correction to the STEGR case. Further, we assumed two well-known specific forms of the potential function, specifically the exponential from $V(\phi)= V_0 e^{-\beta \phi}$ and the power-law form $V(\phi)= V_0\phi^{-k}$. We employ some phase-space variables and transform the cosmological field equations into an autonomous system. We calculate the critical points of the corresponding autonomous systems and examine their stability behaviors. We discuss the physical significance corresponding to the exponential case for parameter values $n=2$ and $n=-1$ with $\beta=1$, and $n=-1$ with $\beta=\sqrt{3}$. Moreover, we discuss the same corresponding to the power-law case for the parameter value $n=-2$ and $k=0.16$. We also analyze the behavior of corresponding cosmological parameters such as scalar field and dark energy density, deceleration, and the effective equation of state parameter. Corresponding to the exponential case, we find that the results obtained for the parameter constraints in Case III is better among all three cases, and that represents the evolution of the universe from a decelerated stiff era to an accelerated de-Sitter era via matter-dominated epoch. Further, in the power-law case, we find that all trajectories exhibit identical behavior, representing the evolution of the universe from a decelerated stiff era to an accelerated de-Sitter era. Lastly, we conclude that the exponential case shows better evolution as compared to the power-law case.

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Forecasting F(Q) cosmology with ΛCDM background using standard sirens

Cited by 27 publications

References 29 publications

Reconstructing the Hubble parameter with future Gravitational Wave missions using Machine Learning

Reconstructing the Hubble parameter with future Gravitational Wave missions using Machine Learning

Reconstructing the Hubble Parameter with Future Gravitational-wave Missions Using Machine Learning

Dynamical system analysis of scalar field cosmology in coincident f(Q) gravity

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