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Noisy pipelines II: Non-parametric Noise Inference for LISA — arXiv:2611.03911

Source: arXiv (en)
Original: https://arxiv.org/abs/2611.03911
License (as archived): CC0-1.0
Archived: 2026-11-04T19:10:39.767Z
SHA-256 of the archived text: 3d7782452dea978515e2373a95558350436ecec436659e069029628d4e6036fb
Stable URL of this page: https://metraipolis.com/documento/dc_da596cb06b00

How to cite

Noisy pipelines II: Non-parametric Noise Inference for LISA — arXiv:2611.03911 — arXiv (en), https://arxiv.org/abs/2611.03911 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_da596cb06b00 (Metraipolis archive dc_da596cb06b00, sha256 3d7782452dea978515e2373a95558350436ecec436659e069029628d4e6036fb)

BibTeX

@misc{dcda596cb06b00,
  title = {Noisy pipelines II: Non-parametric Noise Inference for LISA — arXiv:2611.03911},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2611.03911},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_da596cb06b00; sha256 3d7782452dea978515e2373a95558350436ecec436659e069029628d4e6036fb},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2611.03911. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

The Laser Interferometer Space Antenna (LISA) is expected to observe gravitational-wave signals from massive black hole binaries, extreme mass ratio inspirals, and more. Despite the significant scientific potential, accurately extracting these signals from the data will only be possible if LISA's instrumental noise is understood: poor noise modelling will result in lost signals, biased parameter estimates, and incorrect astrophysical insights. Modelling LISA's instrumental noise is more challenging than its ground-based counterpart since the data is highly correlated, meaning that the noise covariance matrix can no longer be assumed diagonal in frequency and in the different data streams. In this work, we present an initial approach to perform non-parametric noise inference for LISA that requires no prior knowledge of the LISA observatory. By fitting the full noise covariance matrix with a combination of splines and inverse Lorentzians, we show that our model can estimate the power and cross spectral densities for LISA from 7 days of simulated noise-only data. We find that the median estimate from our non-parametric model whitens the data according to the expected unit normal distribution. We envision that our non-parametric model can be used as part of the global fit, as well as in combination with modelled approaches to identify, quantify, and constrain the frequency dependence of unknown noise artifacts.

Tema degli esploratori: fisica e astronomia (elenco arXiv astro-ph.IM, nuovi lavori del giorno).
Categorie arXiv: General Relativity and Quantum Cosmology (gr-qc) ; High Energy Astrophysical Phenomena (astro-ph.HE); Instrumentation and Methods for Astrophysics (astro-ph.IM).
Pagina del lavoro: https://arxiv.org/abs/2611.03911 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-11-04T18:45:07.667Z dalla pagina https://arxiv.org/list/astro-ph.IM/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).