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Detector Characterization Status K. Hayama (ICRR), KAGRA detchar - PowerPoint PPT Presentation

Detector Characterization Status K. Hayama (ICRR), KAGRA detchar subsystem Scope Detector-diagnostics system Data quality Veto analysis Tasks Support to understand what is happening in KAGRA DetChar tools Environmental


  1. Detector Characterization Status K. Hayama (ICRR), KAGRA detchar subsystem

  2. Scope ● Detector-diagnostics system ● Data quality ● Veto analysis

  3. Tasks ● Support to understand what is happening in KAGRA – DetChar tools – Environmental monitor sensors and PEM injection – Study of environmental issues ● Data quality Information for operation, data analysis – To define DQ using DetChar tools ● Practice : iKAGRA data characterization – Selection of channels to use for DQ – Distribution of DQ flag to collaborators ● Veto Information for data analysis – Multi-channel analysis – Safe, unsafe channel analysis

  4. Tasks ● Support to understand what is happening in KAGRA – DetChar tools – Environmental monitor sensors and PEM injection – Study of environmental issues ● Data quality Information for operation, data analysis – To define DQ using DetChar tools ● Practice : iKAGRA data characterization – Selection of channels to use for DQ – Distribution of DQ flag to collaborators ● Veto Information for data analysis – Multi-channel analysis – Safe, unsafe channel analysis

  5. command-line tools for characterization, web daily summary, Environmental Data monitoring etc. Monitors Categorization User Interface DQ flag - command line DQ Non-Stationary - webbased application Sensors Arm mapping iKAGRA Line Preparation Monitoring Paper Pages Gaussianity Connection Summary Time-Series Pages PEM Spectrum Injection GW range Correlation Logistics support Site Study -magnetic field - DetChar Shifts System Health -water gravity ChirpletMon etc.

  6. >60 command line tools are command-line tools for developed and updating for characterization, using NDS tools web daily summary, Environmental Data monitoring etc. Monitors Categorization User Interface DQ flag - command line DQ Non-Stationary - webbased application Sensors Arm mapping Line Preparation Monitoring iKAGRA Pages data characterization Gaussianity Connection Summary Time-Series Pages PEM Spectrum Injection GW range Correlation Logistics support Site Study -magnetic field - DetChar Shifts System Health -water gravity ChirpletMon etc.

  7. D e t C h a r T o o l s N o n - S t a t i o n a r i t y C o r r e l a t i o n ● G l i t c h Mo n i t o r ● C o h e r e n c e F i n d e r Mu l t i p l e - c h a n n e l c o h e r e n c e fj n d e r ( B r u C o ) ● ● L i n e F i n d e r L i n e P e a r s o n c o r r e l a t i o n F i n d e r ● ● L i n e T r a c k i n g ● N o n L i n e a r c o r r e l a t i o n F i n d e r ● L i n e R e m o v a l ● R a y l e i g h Mo n i t o r G a u s s i a n i t y R e a l t i m e Q u i c k l o o k w e b p a g e ● ● N o n - G a u s s i a n i t y Mo n i t o r ● D a i l y s u m m a r y w e b p a g e U s e r ● R MS Mo n i t o r ● G U I I n t e r f a c e I n t e r f a c e ● N o i s e F l o o r Mo n i t o r ● We b - B a s e I n t e r f a c e ● T i m e - S e r i e s Mo n i t o r T i m e - S e r i e s ● C o m m a n d - l i n e I n t e r f a c e ● S p e c t r u m Mo n i t o r S p e c t r u m ● S p e c t r o g r a m Mo n i t o r ● H e a l t h m o n i t o r S y s t e m ● S e n s i t i v i t y Mo n i t o r ( N e w ) ● F i l e F i n d e r H e a l t h ● R a n g e Mo n i t o r G l o b a l l y C o r r e l a t e d ma g n e t i c n o i s e ● G W R a n g e – I n s p i r a l ● V i o l i n m o d e – I n s p i r a l - Me r g e r - R i n g d o w n ● Mu l t i - c h a n n e l a n a l y s i s – R i n g d o w n ● N e w t o n i a n n o i s e – S t o c h a s t i c – E fg e c t o f w a t e r i n s i d e t h e m o u n t a i n

  8. We b b a s e d d i a g n o s t i c s t o o l s

  9. Daily Summary Monitors

  10. Env. sensor locations Env. sensor locations Y end 1F 2F Acc Temp Temp E Y T T R Y Therm Therm t a b l e Baro Baro E Y 2 Acc Seis Seis E Y 3 E Y C c h a m b e r Mag Mag E Y 4 Temp Y arm I M C r a c k Therm E Y A Acc BS, T R A N S Baro (Temp,therm,Ba Acc X,Y Front Mag M C E ro)x2, ... 1F Acc 2F I Y A Acc X arm Temp Temp P C Y 1 Therm Therm (Temp,therm,Ba Acc I Y C I Y 1 Baro Baro ro)x2, ... I M M T 2 T Acc P C X 1 M C I X 1 Seis Seis Acc Acc Acc Acc Acc Acc Acc Acc Acc Acc Mag Acc Mag PSL M C F I F I I M M P R M P R 2 P R 3 B S I X C I X A E X A E X C E X T I O I M M T 1 T I M C M M T P R M R E F L A U X L S CA S C 1 A S C 2 E X 2E X 3E X 4 R E F L P O Y P O P S R 2 P O S Acc Seis 2F 1F P R 2 B S S R 2 Temp Temp Therm Therm Acc S R 3 P O X Baro Baro A S ? Seis Seis Acc Mag Mag O M M A S X end 1 1 S e r v e r r o o m

  11. On-Going ● Magnetometer – cabling, making amps, for the connection to rack ● Thermometer, Barometer, Hygrometer – 2 start test operation at the X arms (GIF DAQ) – cabling, making amps, for the connection to rack ● Seismometer – 2 is running around BS, at Xfront – 1 is tested for the Type-A experiment 12

  12. Water gravity noise 13

  13. 14

  14. Water Newtonian Noise Estimation Nishizawa(Nagoya) water fmow along an open channel O Sn ~ function of b^(-1/2) O Sn ~ function of v sensitive to velocity (assuming a smooth surface for a water pipe and negligible transverse velocity)

  15. CDF X Kasuya (Titech) Model Conditions Material: Water Y Z Initial Velocity: 1000 mm/s Initial water surface height: 220+38 mm Boundary fmow velocity:1000 mm/s Analysis time: 10 sec Φ443 mm Water fmow L=1024 mm Groove width: 20 mm Groove height: 38 mm Time vs Vz Flow Velocity at(30,0,-700) Result (30,0,-700)

  16. Measurement of magnetic fields with LI GO and Virgo Test of filtering correlated magnetic field noise at KAGRA - Virgo S. Atsuta, K. Hayama, S.Kataoka, T. Ogawa, K.Somiya, Nelson Christensen, Michael Coughlin, Rosario Derosa, Irene Fiori, Mark Golkowski, Melissa Guidry, Jan harms, Jerzy Kubisz, Andrzej Kulakm, Janusz Mlynarczyk, Federico Paoletti, Tristan Shoemaker, Eric Thrane

  17. Filter to mitigate the Schumann resonance

  18. Measurement ● Magnetometers (fromERI, U. tokyo) ● GPS time stamps for studying coherence between the sites KAGRA KAGRA Villa Cristina

  19. Coherence KAGRA-Villa Cristina (North-South direction)

  20. Filter performance

  21. Schedule ● Update of tools, web-based summary page, quick look page (CRY) – Dec, 2017 ● Environmental sensors – prepared sensors initially will be running ~July, 2017 ● Unknown environmental noise – effect of water gravity noise ~June, 2017 ● DQ study – November, 2017

  22. Interface

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