Pith. Sign in

RECORD

Coherent network analysis technique for discriminating gravitational-wave bursts from instrumental noise

General Relativity and Quantum Cosmology · Submitted 29 Apr 2006

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim In order to address this problem we introduce a consistency test that is robust against noise non-stationarities and allows one to distinguish between gravitational-wave bursts and noise transients.

how it is stated · asserted 0.96 read the record →

Comment (0) Read on arXiv ↗
Cite ▾
arXiv IDgr-qc/0605002 (version 2)
Pith IDACQ6M5EB, Pith's permanent record of this paper and its review
CitationAlbert Lazzarini, Antony Searle, Leo Stein, Massimo Tinto, Patrick Sutton, Shourov Chatterji. "Coherent network analysis technique for discriminating gravitational-wave bursts from instrumental noise." arXiv:gr-qc/0605002 (2006). https://pith.science/paper/ACQ6M5EB
Claim paper

The compiled record

The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

Open the compiled record

Compiled by classifier-1.13-20260917 via OpenRouter, question bank abstract-p1-20260923, 2026-09-23: 1 request, 3,610 input tokens, $0.0002 reported.

What the abstract itself states, as probabilities: claims first 0.06 · states limitation 0.12 · human participants 0.02 · controlled comparison 0.08 · randomized assignment 0.01 · states quantitative result 0.03 · compares with prior results 0.76 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v2. Results and the main claim are underlined; .

Existing coherent network analysis techniques for detecting gravitational-wave bursts simultaneously test data from multiple observatories for consistency with the expected properties of the signals. These techniques assume the output of the detector network to be the sum of a stationary Gaussian noise process and a gravitational-wave signal, and they may fail in the presence of transient non-stationarities, which are common in real detectors. In order to address this problem we introduce a consistency test that is robust against noise non-stationarities and allows one to distinguish between gravitational-wave bursts and noise transients. This technique does not require any a priori knowledge of the putative burst waveform.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 Existing coherent network analysis techniques for detecting gravitational-wave bursts simultaneously test data from multiple observatories for consistency with the expected properties of the signals. background 1.00 0.03 0.03 asserted 1.00
s1 These techniques assume the output of the detector network to be the sum of a stationary Gaussian noise process and a gravitational-wave signal, and they may fail in the presence of transient non-stationarities, which are common in real detectors. background 0.71 0.05 0.05 hedged possibility 0.84
s2 In order to address this problem we introduce a consistency test that is robust against noise non-stationarities and allows one to distinguish between gravitational-wave bursts and noise transients. contribution 1.00 0.91 0.65 asserted 0.96
s3 This technique does not require any a priori knowledge of the putative burst waveform. method 0.53 0.70 0.11 asserted 1.00

What kind of paper the classifier reports this is: method or tool 1.00 · evidence from argument 0.68.

What was examined, and what was not

sources read
  • arXiv listing abstract v2
not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
levels run
  • P abstract
not run
  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

Existing coherent network analysis techniques for detecting gravitational-wave bursts simultaneously test data from multiple observatories for consistency with the expected properties of the signals. These techniques assume the output of the detector network to be the sum of a stationary Gaussian noise process and a gravitational-wave signal, and they may fail in the presence of transient non-stationarities, which are common in real detectors. In order to address this problem we introduce a consistency test that is robust against noise non-stationarities and allows one to distinguish between gravitational-wave bursts and noise transients. This technique does not require any a priori knowledge of the putative burst waveform.

Human review
References
How the literature uses it

21 arXiv papers cite this in 26 sentences

Each citing sentence is taken from the citing paper's LaTeX source and typed by Pith's classifier. A label appears at probability 0.8 or more (0.95 for support), a contest at 0.7 or more; the quoted words are the citing authors'. How each label was checked · JSON

Papers citing it · 20 sentences without a confident label

Builds on it 1 paper
Uses its method or tool 3 papers
  • A commonly used application for LIGO-Virgo gravitational wave searches is X-Pipeline [ref] , which assumes that only tensor polarizations can be present, and then compares the null energy (essentially the square of the null stream) with other combinations of detector outputs to search for GW signals that are in accordance with GR.

    Generic searches for alternative gravitational wave polarizations with networks of interferometric detectors · Introduction · 0.81

  • Employing a null-stream statistic [ref] to complement the detection statistic might also help in discriminating against such noise.

    Multibaseline gravitational wave radiometry · Discussion · 0.83

  • A common approach [ref] to the detection and reconstruction of gravitational-wave signals, defines the two hypotheses: $H_0$ “data when a gravitational-wave signal is absent” and $H_1$ “data when a gravitational-wave signal is present." Assuming the noise as stationary Gaussian white noise not correlated between detectors, the corresponding probability densities can be determined as: [equation]

    Gravitational-wave searches in the era of Advanced LIGO and Virgo · Unmodelled pipelines · 0.80

Cites it as background 2 papers

Discussion

Know something about this paper? Leave a comment, or highlight any passage above to comment on it.