2021
DOI: 10.1103/physrevd.104.043019
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Characterization of the stochastic signal originating from compact binary populations as measured by LISA

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Cited by 81 publications
(68 citation statements)
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References 75 publications
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“…A Gaussian realization of both the signal and noise components is then generated for each of these segments and the spectrum at each frequency is then estimated to be the average over these 𝑁 𝑐 realizations. On the other hand, in this work, and consistently with the procedure employed in Karnesis et al (2021), we perform some operations on the dataset provided by the procedure of section 3.1, which accounts for the complete mission duration (meaning that in the frequency domain the frequency resolution is ∌1/𝑇 obs ), to transform it into a dataset with the same statistical properties of the ones of Caprini et al (2019); Pieroni & Barausse (2020); Flauger et al (2021). For this purpose, averaging over segments is equivalent to averaging over neighboring frequencies, i.e.…”
Section: Data Pre-processingsupporting
confidence: 70%
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“…A Gaussian realization of both the signal and noise components is then generated for each of these segments and the spectrum at each frequency is then estimated to be the average over these 𝑁 𝑐 realizations. On the other hand, in this work, and consistently with the procedure employed in Karnesis et al (2021), we perform some operations on the dataset provided by the procedure of section 3.1, which accounts for the complete mission duration (meaning that in the frequency domain the frequency resolution is ∌1/𝑇 obs ), to transform it into a dataset with the same statistical properties of the ones of Caprini et al (2019); Pieroni & Barausse (2020); Flauger et al (2021). For this purpose, averaging over segments is equivalent to averaging over neighboring frequencies, i.e.…”
Section: Data Pre-processingsupporting
confidence: 70%
“…Based on a fiducial binary population synthesis model, we first began by simulating catalogues of sources using different parameters describing the total stellar mass and the shape of the Galaxy. For each of them, we estimated the residual foreground signal after subtracting the 'loudest' sources, based on SNR criteria following the methodology presented in Karnesis et al (2021).…”
Section: Discussionmentioning
confidence: 99%
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