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Testing strengths, limitations and biases of current Pulsar Timing Arrays detection analyses on realistic data - MaRDI portal

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Testing strengths, limitations and biases of current Pulsar Timing Arrays detection analyses on realistic data (Q6709964)

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Dataset published at Zenodo repository.
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Testing strengths, limitations and biases of current Pulsar Timing Arrays detection analyses on realistic data
Dataset published at Zenodo repository.

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    In this project, we carried out an extensive investigation of the performance of current Pulsar Timing Arrays (PTA) analyses on simulated PTA datasets where we modeled the gravitational waves (GW) signal as the incoherent superposition of sinusoidal signals from a cosmic population of super-massive black hole binaries (SMBHBs). Here we publish the dataset referred to in the paper as the SMBHB_set: 100 realisations of PTA datasets with 25 pulsars and a GWB signal of nominal amplitude 2.4e-15. For each realisation, listed from 1001 to 1100, this repository contains the pulsars .par and .tim files, the mcmc chain (sampling over 66 parameters: 60 for pulsars intrinsic noise parameters and log amplitude and slope of a common red noise process), and the SMBHB details for that specific realisation of the GWB. The columns of the MBHB_list.dat files contain (from left to right): log10 MBH chirp mass (in solar masses in the source frame), mass ratio, source redshift, log10 of GW fundamental mode (n=2) in the observer frame, phi and theta angles in the sky, source inclination angle, source polarisation angle, source initial orbital phase, source initial direction of periastron and source initial eccentricity. If you make use of any of this data, please cite: @article{ refId0, author = {{Valtolina, Serena} and {Shaifullah, Golam} and {Samajdar, Anuradha} and {Sesana, Alberto}}, title = {Testing strengths, limitations, and biases of current pulsar timing arrays detection analyses on realistic data}, DOI= "10.1051/0004-6361/202348084", url= "https://doi.org/10.1051/0004-6361/202348084", journal = {AA}, year = 2024, volume = 683, pages = "A201", }
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    22 September 2023
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