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GW Data Analysis (from an experimentalist’s point of view)

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GW Data Analysis (from an experimentalist’s point of view). Gabriela Gonz ález Louisiana State University Gravitation: A Decennial Perspective CGPG, Penn State, June 8, 2003. 3 PDs, 6 signals, 4 DOF. Data Analysis: what data?. AS_Q, or GW signal. - PowerPoint PPT Presentation
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GW Data Analysis GW Data Analysis (from an experimentalist’s point (from an experimentalist’s point of view) of view) Gabriela González Louisiana State University Gravitation: A Decennial Perspective CGPG, Penn State, June 8, 2003
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Page 1: GW Data Analysis (from an experimentalist’s point of view)

GW Data AnalysisGW Data Analysis(from an experimentalist’s point of view)(from an experimentalist’s point of view)

Gabriela GonzálezLouisiana State University

Gravitation: A Decennial PerspectiveCGPG, Penn State, June 8, 2003

Page 2: GW Data Analysis (from an experimentalist’s point of view)

3 PDs, 6 signals, 4 DOF

Data Analysis: what data?Data Analysis: what data?

Distances are controlled by feedback loops: we need to know what was there before we reduced the signals to keep cavities resonant: “calibration”.

AS_Q, or GW signalAS_Q, or GW signal

Page 3: GW Data Analysis (from an experimentalist’s point of view)

Data analysis starts with good data... Data analysis starts with good data... that is a lot more than a good spectrum!that is a lot more than a good spectrum!

S1

LLO interferometer

S2(Feb-Apr ’03)

Page 4: GW Data Analysis (from an experimentalist’s point of view)

Keeping interferometer lockedKeeping interferometer lockedS1 run: 17days (408 hrs)S1 run: 17days (408 hrs)

Seismic Noise in the band

Page 5: GW Data Analysis (from an experimentalist’s point of view)

Calibrated spectrumCalibrated spectrum

Calibration lines

Page 6: GW Data Analysis (from an experimentalist’s point of view)

S1: Calibration stabilityS1: Calibration stability

Page 7: GW Data Analysis (from an experimentalist’s point of view)

(Preliminary) Results from S1(Preliminary) Results from S1Upper Limits on Burst SourcesUpper Limits on Burst Sources

Excluded region,90 % CL

• Upper limit in strain compared to prior (cryogenic bar) results:

S1: h < 5 x 10-17 - this resultIGEC 2000 : h < 1 x 10-17 Astone et al. 2001: h ~ 2 x 10-18

• Upper limit in rate constrained by observation time:

S1: 17d, 3x coinc.- this resultIGEC - 90d (2X coinc.), 260d (3X coinc.)Astone et al. - 90d

Page 8: GW Data Analysis (from an experimentalist’s point of view)

(Preliminary) Results from S1(Preliminary) Results from S1Upper Limits on Stochastic Upper Limits on Stochastic

Background SourcesBackground SourcesS1 (50 hrs, H2-L1): h2

< 23

Current best upper limits:

• Inferred: From Big Bang

nucleosynthesis:

• Measured: Garching-Glasgow

interferometers:

• Measured: EXPLORER-

NAUTILUS:

GW ( f ) d ln f 110 5

GW ( f ) 3105

GW (907Hz) 60

Page 9: GW Data Analysis (from an experimentalist’s point of view)

(Preliminary) Results from S1(Preliminary) Results from S1Upper Limits on Periodic Upper Limits on Periodic

SourcesSources

S1: upper limits on J1939+2134 (1.284 Hz)amp < 10-22

Previous limits for same system:• 40m: ~10-17

• Glasgow detector: 10-20 (2nd harm.)

At other frequencies, bars have set up limits near 10 -24

Page 10: GW Data Analysis (from an experimentalist’s point of view)

(Preliminary) Results from S1(Preliminary) Results from S1Upper Limits on NS Inspiral Upper Limits on NS Inspiral

SourcesSourcesMass distribution and effective distance

S1: 289 hrs, 2x: 116 hrs; R< 164/yr in Milky Way Equivalent Galaxy(Expected: ~10-5/yr)Previous searches: • LIGO 40m (’94, 25 hrs) 0.5/hr, 25 kpc• TAMA300 ’99 ( 6 hrs) 0.6/hr, ~ 1kpc• Glasgow-Garching ’89 (100 hrs) no events, ~1kpc• IGEC ’00-’01 (2yrs): no events, ~10 kpc

Page 11: GW Data Analysis (from an experimentalist’s point of view)

An eventful segment, withAn eventful segment, withstable calibrationstable calibration

Loudest inspiral event (but LHO not locked )

Page 12: GW Data Analysis (from an experimentalist’s point of view)

A “good” template match,A “good” template match,a “bad” detector timea “bad” detector time

Page 13: GW Data Analysis (from an experimentalist’s point of view)

Statistics of the signal: Statistics of the signal: gaussian, stationary?gaussian, stationary?

Page 14: GW Data Analysis (from an experimentalist’s point of view)

Statistics of the signal: Statistics of the signal: gaussian, stationary?gaussian, stationary?

Page 15: GW Data Analysis (from an experimentalist’s point of view)

ConclusionsConclusions

• Data analysis effort has started succesfully• Search methods are very diverse• Methods set upper limits, but are ready for

detection• Data quality aspects are essential• Collaboration between theorists (sources),

data analysis experts (methods) and experimentalists (data quality) is important.


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