Uploaded July 2022 | Updated September 2026, 2 hours ago
Laser interferometer space antenna (LISA) is a promising space-based gravitation wave (GW) observatory, which could detect stochastic gravitational wave backgrounds (SGWBs), either astrophysical or cosmological sources. Detection and characterization of these GW signals will enrich our knowledge about the history of the Universe, and the underlying physics of gravity. However, the SGWB signal reconstruction is challenging because not only it is mixed of various possible components but also the complexity of the instrumental noise could contaminate the data. In this presentation, I will talk about one possible simulated LISA data generation pipeline, including noise and SGWB signal. The signal would be complex, like combinations of some known SGWB models. For the instrumental noise, we use the up-to-date LISANode simulator, which has the baseline of the instrumental design, to generate realistic onboard measurements. The noise model we use in data analysis will be important since any wrong reconstruction in the noise could be misleading as the SGWB signal. In this study, we use a modified noise model from LISA Science Requirement Document, which adapts better the noise propagation through Time-Delay Interferometry. Then, we apply the SGWBinner tool to simulated data from the data generation pipeline with these noise models to reconstruct the noise and the signal at once. With our modified noise model, we could mitigate the uncertainties of the noise and therefore have a better signal reconstruction. The result of the SGWB parameter estimation then will be used to evaluate the detectability of cosmological and astrophysical SGWBs with LISA, and this is a first step toward the development of dedicated data analysis pipelines.
Author and Presenter: Quang Nam Dam
Laser interferometer space antenna (LISA) is a promising space-based gravitation wave (GW) observatory, which could detect stochastic gravitational wave backgrounds (SGWBs), either astrophysical or cosmological sources. Detection and characterization of these GW signals will enrich our knowledge about the history of the Universe, and the underlying physics of gravity. However, the SGWB signal reconstruction is challenging because not only it is mixed of various possible components but also the complexity of the instrumental noise could contaminate the data. In this presentation, I will talk about one possible simulated LISA data generation pipeline, including noise and SGWB signal. The signal would be complex, like combinations of some known SGWB models. For the instrumental noise, we use the up-to-date LISANode simulator, which has the baseline of the instrumental design, to generate realistic onboard measurements. The noise model we use in data analysis will be important since any wrong reconstruction in the noise could be misleading as the SGWB signal. In this study, we use a modified noise model from LISA Science Requirement Document, which adapts better the noise propagation through Time-Delay Interferometry. Then, we apply the SGWBinner tool to simulated data from the data generation pipeline with these noise models to reconstruct the noise and the signal at once. With our modified noise model, we could mitigate the uncertainties of the noise and therefore have a better signal reconstruction. The result of the SGWB parameter estimation then will be used to evaluate the detectability of cosmological and astrophysical SGWBs with LISA, and this is a first step toward the development of dedicated data analysis pipelines.
Author and Presenter: Quang Nam Dam
