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Data conditioning for first analyses

Data conditioning for first analyses. Lee Samuel Finn Penn State. Goals. Identify needs Identify resources Coordinate activities. Agenda. Review Current functionality Planned functionality Needs Bursts Inspiral Periodic Stochastic Required resources & coordination. Conditioning

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Data conditioning for first analyses

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  1. Data conditioning for first analyses Lee Samuel Finn Penn State Penn State LSC

  2. Goals • Identify needs • Identify resources • Coordinate activities Penn State LSC

  3. Agenda • Review • Current functionality • Planned functionality • Needs • Bursts • Inspiral • Periodic • Stochastic • Required resources & coordination Penn State LSC

  4. Conditioning (I)DFT Forward, reverse DFT Linear filtering Decimation Heterodyning Digital lock-in Characterization Descriptive statistics Max, min, mean, variance, skew, kurtosis of sequence Power spectrum estimation X-spectral density, coherence Current functionality Penn State LSC

  5. Conditioning Auto, cross-correlations Line removal Power-mains Violin modes Broad-band regression Time domain Frequency domain Characterization System ID (AR/ARX) Bispectrum/bicoherence Stationarity tests Broad, narrow band Histogram accumulation Parametric PSD estimation Planned functionality Penn State LSC

  6. Needs • Data conditioning actions • Drop-out fill-in? • Data volume • Number channels, duration, sample rates • Number simultaneous pipeline (per search) • Precision • E.g., of power spectral density estimate Penn State LSC

  7. Resources & Coordination • datacondAPI highly integrated into LDAS • Disconnected development won’t work • datacondAPI Team • Not in UL group or UL group unknown: Charlton, Ehrens, Maros, Ottewill, Searle • Burst • W. Anderson, Blackburn, Finn, Katsavounidis, Klimenko • Inspiral • Periodic • Stochastic • Finn, Landry, Lazzarini, Romano Penn State LSC

  8. Actions • Identify needs • Data conditioning actions • Regressions, correlations, power spectrum estimations, etc. • Data volumes • Number channels, duration, sample rates • Precision estimation • Identify resources • Who, from the different groups, will contribute to the development effort? • Need this information ASAP • First cut: 1 April • Final iteration:1 May Penn State LSC

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