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S.Klimenko LIGO-G020164-00-Z UF Introduction Goals of this analysis Coherence of power monitors Sign X-Correlation H2-L1 x-correlation Conclusion H2-L1 Correlated Noise S.Klimenko, A.Sazonov University of Florida Outline

UF S.Klimenko LIGO-G020164-00-Z l Introduction l Goals of this analysis l Coherence of power monitors l Sign X-Correlation l H2-L1 x-correlation l Conclusion

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Page 1: UF S.Klimenko LIGO-G020164-00-Z l Introduction l Goals of this analysis l Coherence of power monitors l Sign X-Correlation l H2-L1 x-correlation l Conclusion

S.Klimenko LIGO-G020164-00-Z

UF

Introduction Goals of this analysis Coherence of power monitors Sign X-Correlation H2-L1 x-correlation Conclusion

H2-L1 Correlated NoiseS.Klimenko, A.Sazonov

University of Florida

Outline

Page 2: UF S.Klimenko LIGO-G020164-00-Z l Introduction l Goals of this analysis l Coherence of power monitors l Sign X-Correlation l H2-L1 x-correlation l Conclusion

S.Klimenko LIGO-G020164-00-Z

UF

T~

T~

T~

T~SGW (infinite CTS)uncorrelated noise (“good”)correlated noise: “bad”correlated noise: “ugly”

Introduction Stochastic GW can be detected by measuring x-correlation of two detectors.

: h – SGW signal, n – noise HLHLHHLL nnhhnhnhC )()(

Page 3: UF S.Klimenko LIGO-G020164-00-Z l Introduction l Goals of this analysis l Coherence of power monitors l Sign X-Correlation l H2-L1 x-correlation l Conclusion

S.Klimenko LIGO-G020164-00-Z

UFGoals

study correlated noise from power lines

Q: Does it have “bad” components with very large time

scale (~T)?

How: Look at the coherence of power monitors

Q: How strong is it compare to uncorrelated noise?

How: Look at correlation of H & L ifo output using

Sign Correlation Test.

study other possible sources of correlated noise

Q: Is there another significant correlated noise in

addition to power mains?

How: Look at correlation of H & L signals with power

lines removed.

Page 4: UF S.Klimenko LIGO-G020164-00-Z l Introduction l Goals of this analysis l Coherence of power monitors l Sign X-Correlation l H2-L1 x-correlation l Conclusion

S.Klimenko LIGO-G020164-00-Z

UF

150sec

t

Coherence of Power Monitors

more details in J.Castiglione’s talk on DC meeting

Coherence of sL(t) (L0:PEM-LVEA_V1) and sH(t) (H0:PEM-

LVEA_V1).

Average square amplitude

L,H – measured with LineMonitor

Coherence

Coherence at long time scale?

)sin()()()( tAtststs HL

.)cos(2222HLHLHL aaaaA

N

k kN i1

1 exp

TT

1~)(

Page 5: UF S.Klimenko LIGO-G020164-00-Z l Introduction l Goals of this analysis l Coherence of power monitors l Sign X-Correlation l H2-L1 x-correlation l Conclusion

S.Klimenko LIGO-G020164-00-Z

UF

T1~

Coherence (T)

(T)=const, (small T<1min) , (large T)

Conclusion: no terms ~T are observed on 17 days data.

TT 1~)(

Page 6: UF S.Klimenko LIGO-G020164-00-Z l Introduction l Goals of this analysis l Coherence of power monitors l Sign X-Correlation l H2-L1 x-correlation l Conclusion

S.Klimenko LIGO-G020164-00-Z

UFCorrelation of L1 and H2 GW Channels

Wavelet transform of L1 & H2 data

bi-orthogonal interpolating wavelet of 10th order.

time-frequency representation of data in wavelet

domain Wmn

n – scale (frequency) index, m – time index

due to of locality of wavelet basis, wavelet layers can

be considered as decimated time series (similar to

windowed FT).

x-correlation in wavelet domain calculated correlation coefficient separately for each

wavelet layer

sign correlation test was used to estimate x-

correlation

Page 7: UF S.Klimenko LIGO-G020164-00-Z l Introduction l Goals of this analysis l Coherence of power monitors l Sign X-Correlation l H2-L1 x-correlation l Conclusion

S.Klimenko LIGO-G020164-00-Z

UFSign Correlation Test

Sign transform: - median of x

Sign statistics:

Correlation coefficient :

distribution (n – number of samples):

Gaussian (large n):

very robust: error from and ~2/n2, much less then var( )=1/n

for large n

)ˆ( xxsignu ii

)ˆ()ˆ( yysignxxsigns iii x

)( ismean

2exp

2),(

2

nn

nP

yx

Page 8: UF S.Klimenko LIGO-G020164-00-Z l Introduction l Goals of this analysis l Coherence of power monitors l Sign X-Correlation l H2-L1 x-correlation l Conclusion

S.Klimenko LIGO-G020164-00-Z

UFAutocorrelation Function

sign statistics s(t)={uxuy} a(t) - autocorrelation function of s(t)

a measure of correlated noise.

E7 data

X-correlation of L1:AS_Q & H2:AS_Qin wavelet domain:32-64 Hz band

Page 9: UF S.Klimenko LIGO-G020164-00-Z l Introduction l Goals of this analysis l Coherence of power monitors l Sign X-Correlation l H2-L1 x-correlation l Conclusion

S.Klimenko LIGO-G020164-00-Z

UFVariance of Correlation Coefficient

uncorrelated noise

autocorrelation function:

variance:

correlated noise with time scale <Ts

autocorrelation function:

variance:

variance ratio – measure of © noise (depends on

an(t) only)

nu /1)(var 2

,1)0( a 0)( ta

),()( ns aTa 0)( sTa

Rnc

1)(var

tT

mn

s

tmamnR/

1

)()(1

Page 10: UF S.Klimenko LIGO-G020164-00-Z l Introduction l Goals of this analysis l Coherence of power monitors l Sign X-Correlation l H2-L1 x-correlation l Conclusion

S.Klimenko LIGO-G020164-00-Z

UFVariance Ratio (Ts) 11 data segments 4096 sec each (total 12.5 h of E7 data)

64-128Hz

32-64Hz16-32Hz

128-256Hz

Ts

Ts

Ts

Ts

Page 11: UF S.Klimenko LIGO-G020164-00-Z l Introduction l Goals of this analysis l Coherence of power monitors l Sign X-Correlation l H2-L1 x-correlation l Conclusion

S.Klimenko LIGO-G020164-00-Z

UFa(t) after Line Removal

E7 data

32-64 Hz

Page 12: UF S.Klimenko LIGO-G020164-00-Z l Introduction l Goals of this analysis l Coherence of power monitors l Sign X-Correlation l H2-L1 x-correlation l Conclusion

S.Klimenko LIGO-G020164-00-Z

UFData with Lines Removed

QMLR method was used

32-64Hz

– rms for

uncorrelated noise

3dots - before

solid - after

32-64Hz

Ts

Page 13: UF S.Klimenko LIGO-G020164-00-Z l Introduction l Goals of this analysis l Coherence of power monitors l Sign X-Correlation l H2-L1 x-correlation l Conclusion

S.Klimenko LIGO-G020164-00-Z

UFClean L1 or H2

Line removal for one IFO only Good test for line removal algorithms ensure that no artificial correlation is introduced

only H2 cleaned

only L1 cleaned

L1&H2 cleaned

no line removal

Page 14: UF S.Klimenko LIGO-G020164-00-Z l Introduction l Goals of this analysis l Coherence of power monitors l Sign X-Correlation l H2-L1 x-correlation l Conclusion

S.Klimenko LIGO-G020164-00-Z

UFR

UUUU

WW

Page 15: UF S.Klimenko LIGO-G020164-00-Z l Introduction l Goals of this analysis l Coherence of power monitors l Sign X-Correlation l H2-L1 x-correlation l Conclusion

S.Klimenko LIGO-G020164-00-Z

UFSummary

results from power monitors

no evidence of “bad” noise (~T) observed on 17 day data

results from sign x-correlation of IFO output

correlated power noise is too strong to be ignored.

the noise is very non-stationary (variation by order of magnitude)

the noise is manly due to power lines (proven by removing lines)

there are at least two components of correlated noise (Ts<1min & >500)

removing of power lines will considerably improve the SGW UL

removal of power lines may introduce artificial x-correlation ~T

safe option: remove power lines from one IFO output only.