{"work":{"id":"4d7204fa-6df7-476e-a1ec-4127a8214126","openalex_id":null,"doi":null,"arxiv_id":"1410.3852","raw_key":null,"title":"BayesLine: Bayesian Inference for Spectral Estimation of Gravitational Wave Detector Noise","authors":null,"authors_text":"T","year":2014,"venue":"gr-qc","abstract":"Gravitational wave data from ground-based detectors is dominated by instrument noise. Signals will be comparatively weak, and our understanding of the noise will influence detection confidence and signal characterization. Mis-modeled noise can produce large systematic biases in both model selection and parameter estimation. Here we introduce a multi-component, variable dimension, parameterized model to describe the Gaussian-noise power spectrum for data from ground-based gravitational wave interferometers. Called BayesLine, the algorithm models the noise power spectral density using cubic splines for smoothly varying broad-band noise and Lorentzians for narrow-band line features in the spectrum. We describe the algorithm and demonstrate its performance on data from the fifth and sixth LIGO science runs. Once fully integrated into LIGO/Virgo data analysis software, BayesLine will produce accurate spectral estimation and provide a means for marginalizing inferences drawn from the data over all plausible noise spectra.","external_url":"https://arxiv.org/abs/1410.3852","cited_by_count":null,"metadata_source":"pith","metadata_fetched_at":"2026-05-24T23:40:05.113229+00:00","pith_arxiv_id":"1410.3852","created_at":"2026-05-11T00:10:50.967666+00:00","updated_at":"2026-05-24T23:40:05.113229+00:00","title_quality_ok":true,"display_title":null,"render_title":"BayesLine: Bayesian Inference for Spectral Estimation of Gravitational Wave Detector Noise"},"hub":{"state":{"work_id":"4d7204fa-6df7-476e-a1ec-4127a8214126","tier":"hub","tier_reason":"10+ Pith inbound or 1,000+ external citations","pith_inbound_count":13,"external_cited_by_count":null,"distinct_field_count":3,"first_pith_cited_at":"2019-03-11T17:43:43+00:00","last_pith_cited_at":"2026-05-19T20:32:13+00:00","author_build_status":"not_needed","summary_status":"needed","contexts_status":"needed","graph_status":"needed","ask_index_status":"not_needed","reader_status":"not_needed","recognition_status":"not_needed","updated_at":"2026-06-05T07:28:47.763735+00:00","tier_text":"hub"},"tier":"hub","role_counts":[{"context_role":"method","n":5},{"context_role":"background","n":3}],"polarity_counts":[{"context_polarity":"use_method","n":5},{"context_polarity":"background","n":3}],"runs":{},"summary":{},"graph":{},"authors":[]}}