Mnft robust detection of slow nonstationarity in ligo science data
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MNFT : Robust detection of slow nonstationarity in LIGO Science data. Soma Mukherjee Max Planck Institut fuer Gravitationsphysik Germany. LSC Meeting, Livingston, LA, March 17-20, 2003

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Mnft robust detection of slow nonstationarity in ligo science data
MNFT : Robust detection of slow nonstationarity in LIGO Science data

Soma Mukherjee

Max Planck Institut fuer Gravitationsphysik

Germany.

LSC Meeting, Livingston, LA,

March 17-20, 2003

LIGO-G030052-00-Z


Soma mukherjee 20 3 03 why
Soma Mukherjee, 20/3/03Why :

  • Interferometric data has three components : Lines, transients, noise floor.

  • Study of a change in any one of these without elimination of the other two will cause interference.

  • Lines dominate.

  • Presence of transients change the central tendency.

  • “SLOW” nonstationarity of noise floor interesting in the analysis of several astrophysical searches, e.g. Externally triggered search.

  • To be able to simulate the non-stationarity to test the efficiencies of various algorithms.


Soma mukherjee 20 3 03 method
Soma Mukherjee, 20/3/03Method :

  • MNFT :

  • Bandpass and resample given timeseries x(k).

  • Construct FIR filter than whitens the noise floor. Resulting timeseries : w(k)

  • Remove lines using notch filter. Cleaned timeseries : c(k)

  • Track variation in second moment of c(k) using Running Median*.

  • Obtain significance levels of the sampling distribution via Monte Carlo simulations.

    * Mohanty S.D., 2002, CQG


Soma mukherjee 20 3 03 sequence
Soma Mukherjee 20/3/03Sequence :

Design FIR

Whitening filter.

Whiten data.

Estimate spectral

noise floor using

Running Median

Low pass and

resample

Clean lines.

Highpass.

Thresholds set by

Simulation.

Compute Running

Median of the

squared timeseries.


Soma mukherjee 20 3 03 data
Soma Mukherjee, 20/3/03 Soma Mukherjee 20/3/03Data :

Locked segments from :

  • LIGO S1 : L1 and H2

  • LIGO S2 : L1 and H1


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With transients added


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Soma mukherjee 20 3 0310
Soma Mukherjee 20/3/03

  • Computation of :

  • G(m)=V(Z t+m – Z t)/V(Z t+1 – Z t)

  • Z t: t th sample of a timeseries.

  • m: Lag.


Soma mukherjee 20 3 0311
Soma Mukherjee 20/3/03


Soma mukherjee 20 3 03 comments
Soma Mukherjee 20/3/03Comments :

  • LIGO Tech doc : LIGO-T030019-00-Z.

  • Threshold setting by single simulation.

  • Discussions underway for incorporation in the externally triggered burst search analysis.

  • Automation.

  • Use MBLT for line removal.

  • C++ codes underway.

  • DMT monitor ? (may be)


Soma mukherjee 20 3 03 questions wrt astrophysical search
Soma Mukherjee 20/3/03 Soma Mukherjee 20/3/03Questions wrt Astrophysical Search

  • Threshold and tolerance.

    … being worked up on.