Enhanced NoiseFloorMon : offline analysis results R. Stone & S. Mukherjee Center for Gravitational Wave Astronomy Department of Physics and Astronomy University.

Slides:



Advertisements
Similar presentations
Bicoherence studies on LLO data Vijay Chickarmane, Gabriela Gonzalez LSU Offline analysis of bicoherence of 6hrs of data, July 12, 2002 using functions.
Advertisements

GWDAW9 – Annecy December 15-18, 2004 A. Di Credico Syracuse University LIGO-G Z 1 Gravitational wave burst vetoes in the LIGO S2 and S3 data analyses.
ASL QC Procedures Status and plans. GSN ANSS Traditional Waveform Review  The “morning run” Daily summarizes problems with availability, timing,
Quality Improvement/ Quality Assurance Amelia Broussard, PhD, RN, MPH Christopher Gibbs, JD, MPH.
S5 Data Quality Investigation Status John Zweizig LIGO/Caltech LSC/Virgo DetChar Session Baton Rouge, March 21, 2007.
GWDAW-10 (December 14, 2005, University of Texas at Brownsville, U.S.A.) Data conditioning and veto for TAMA burst analysis Masaki Ando and Koji Ishidoshiro.
GWDAW-8 (December 17-20, 2003, Milwaukee, Wisconsin, USA) Search for burst gravitational waves with TAMA data Masaki Ando Department of Physics, University.
LIGO-G Z LSC March 2004 KYF1 Veto efficiency study of triple coincidence playground WaveBurst events using WaveMon and glitchMon S2 veto triggers.
E12 Report from the Burst Group Burst Analysis Group and the Glitch Investigation Team.
LIGO-G Z Introduction to RayleighMonitor Patrick Sutton LIGO - Caltech.
R. Stone for the LSC Center for Gravitational Wave Astronomy Department of Physics and Astronomy University of Texas at Brownsville. GWDAW, Boston, MA,
Noise Floor Non-stationarity Monitor Roberto Grosso*, Soma Mukherjee + + University of Texas at Brownsville * University of Nuernburg, Germany Detector.
LIGO-G0200XX-00-M DMT Monitors: Beyond the FOM John Zweizig LIGO/Caltech LLO August 18, 2006.
Enhanced NoiseFloorMon : offline analysis results R. Stone & S. Mukherjee Center for Gravitational Wave Astronomy Department of Physics and Astronomy University.
WATmonitor Web Application Transaction Monitor PerfCap Corporation 76 Northeastern Blvd., Nashua, NH
1 Web Development Life Cycle  Ensures project consistency and completeness –Planning –Analysis –Design and Development –Testing –Implementation and Maintenance.
Copyright © 2014 McGraw-Hill Education. All rights reserved
LIGO-G DM. Landry – Amaldi5 July 9, 2003 Laser Interferometer Gravitational Wave Observatory Monitoring LIGO Data During the S2 Science Run Michael.
LIGO-G Z Detector characterization for LIGO burst searches Shourov K. Chatterji for the LIGO Scientific Collaboration 10 th Gravitational Wave.
Stefan Hild Ilias WG1 meeting, Hannover, September 2004 DATA TOOLS ‚how can data exchange work?‘ Max-Planck-Institut für Gravitationsphysik (Albert-Einstein-Institut)
3 May 2011 VESF DA schoolD. Verkindt 1 Didier Verkindt Virgo-LAPP CNRS - Université de Savoie VESF Data Analysis School Data Quality and vetos.
Data Characterization in Gravitational Waves Soma Mukherjee Max Planck Institut fuer Gravitationsphysik Golm, Germany. Talk at University of Texas, Brownsville.
| October LIGO Document ID: LIGO-G Multivariate Veto Analysis for Real-time Gravitational Wave.
LIGO-G Z Detector Characterization SummaryK. Riles - University of Michigan 1 Summary of Detector Characterization Sessions Keith Riles (University.
Introduction – Addressing Business Challenges Microsoft® Business Intelligence Solutions.
Analysis of nonstationarity in LIGO S5 data using the NoiseFloorMon output A proposal for a seismic Data Quality flag. R. Stone for the LSC The Center.
1 Data quality and veto studies for the S4 burst search: Where do we stand? Alessandra Di Credico Syracuse University LSC Meeting, Ann Arbor (UM) June.
Multidimensional classification of burst triggers from the fifth science run of LIGO Soma Mukherjee CGWA, UTB GWDAW11, Potsdam, 12/18/06 LIGO-G
Glitch Group S5 Activities Laura Cadonati for the Glitch Working Group LSC meeting, Hanford March 21, 2006 G Z.
LIGO-G Z Detchar Introduction (8/16/06)K. Riles - University of Michigan 1 StrainBandsMon and SixtyHertzMon Keith Riles (University of Michigan)
Volpe Center AUTOMATION APPLICATIONS DIVISION DTS /18/01 1 CDM Data Quality Update A&D Meeting 18 April 2001 Mike Golibersuch (Volpe/EG&G)
1 Proposed Control Room Figures of Merit for Pulsar Sensitivity Keith Riles (University of Michigan) LIGO Scientific Collaboration Meeting LIGO Livingston.
LSC glitch group report Shourov K. Chatterji for the LSC glitch group LSC/Virgo meeting 2007 October 24 Hannover, Germany LIGO-G Z.
1 Hierarchical glitch classification analysis. Soma Mukherjee CGWA, UTB LSC/Virgo Det Char, Baton Rouge, March 21, 2007 LIGO-G
Multidimensional classification of burst triggers from LIGO S5 run Soma Mukherjee for the LSC Center for Gravitational Wave Astronomy University of Texas.
PlaneMon: Airplane Detection Monitor Evan Goetz & Keith Riles (University of Michigan) DCC: G Z.
LIGO-G Z Status of MNFTmon Soma Mukherjee +, Roberto Grosso* + University of Texas at Brownsville * University of Nuernberg, Germany LSC Detector.
Martin Hewitson and the GEO team Measuring gravitational waves with GEO600.
1 LIGO-G Z Glitch and veto studies in LIGO’s S5 search for gravitational wave bursts Erik Katsavounidis MIT for the LIGO Scientific Collaboration.
LIGO-G Z Center for Gravitational Wave Physics, Penn State 1 RayleighMonitor: A Time-Frequency Gaussianity Monitor for the DMT Lee Samuel Finn,
LIGO-G E Network Analysis For Coalescing Binary (or any analysis with Matched Filtering) Benoit MOURS, Caltech & LAPP-Annecy March 2001, LSC Meeting.
LIGO-G Z The Q Pipeline search for gravitational-wave bursts with LIGO Shourov K. Chatterji for the LIGO Scientific Collaboration APS Meeting.
Gabriele Vajente ILIAS WG1 meeting - Frascati Noise Analysis Tools at Virgo.
LIGO-G Z Detchar Introduction (8/16/06)K. Riles - University of Michigan 1 SixtyHertzMon Update Junyi Zhang & Keith Riles (University of Michigan)
Proposing a DMT monitor for studying micro- seismic noise and up-conversions S. Mukherjee & R. Grosso UTB & U. Erlangen, Germany LSC Det Char Telecon,
S.Klimenko, LSC, August 2004, G Z BurstMon S.Klimenko, A.Sazonov University of Florida l motivation & documentation l description & results l.
Multidimensional classification analysis of kleine Welle triggers in LIGO S5 run Soma Mukherjee for the LSC University of Texas at Brownsville GWDAW12,
S.Klimenko, March 2003, LSC Burst Analysis in Wavelet Domain for multiple interferometers LIGO-G Z Sergey Klimenko University of Florida l Analysis.
LIGO-G Z Detector Characterization Software Tools K. Riles - University of Michigan 1 Introduction to Detector Characterization Sessions.
LSC meeting – Mar05 Livingston, LA A. Di Credico Syracuse University Glitch investigations with kleineWelle Reporting on work done by several people: L.
Validation of realistically simulated non-stationary data. Soma Mukherjee Centre for Gravitational Wave Astronomy University of Texas at Brownsville. GWDAW9,
S.Klimenko, LSC, Marcht 2005, G Z BurstMon diagnostic of detector noise during S4 run S.Klimenko University of Florida l burstMon FOMs l S4 run.
S.Klimenko, LSC March, 2001 Line Noise Investigation l Outline Ø Line Noise Investigation task Ø E2 data, line monitoring Ø Documentation Ø Lines observed.
LIGO-G E S2 Data Quality Investigation John Zweizig Caltech/LIGO.
Soma Mukherjee GWDAW8, Milwaukee, December'03 Interferometric Data Modeling: Issues in realistic data generation. Soma Mukherjee CGWA Dept. of Physics.
Soma Mukherjee LSC, Hanford, Aug.19 '04 Generation of realistic data segments: production and application. Soma Mukherjee Centre for Gravitational Wave.
LIGO-G E Lazzarini - 60Hz CorrelationsLIGO Laboratory at Caltech 1 60 Hz Mains Correlations for the U.S. Power Grids The Aspen Winter Conference.
S.Klimenko, LSC meeting, March 2002 LineMonitor Sergey Klimenko University of Florida Other contributors: E.Daw (LSU), A.Sazonov(UF), J.Zweizig (Caltech)
Martin Hewitson and the GEO team Measuring gravitational waves with GEO600.
Data Quality Investigation LIGO-G E John Zweizig Caltech/LIGO Liivingston, March 18, 2003.
MNFT : Robust detection of slow nonstationarity in LIGO Science data Soma Mukherjee Max Planck Institut fuer Gravitationsphysik Germany. LSC Meeting, Livingston,
LIGO-G Z The Q Pipeline search for gravitational-wave bursts with LIGO Shourov K. Chatterji for the LIGO Scientific Collaboration APS Meeting.
LIGO-G05????-00-Z Detector characterization for LIGO burst searches Shourov K. Chatterji For the LIGO Scientific Collaboration 10 th Gravitational Wave.
Advanced Virgo Detector Monitoring and Data Quality
ANOMALOUS NOISE EVENTS CONSIDERATIONS FOR THE COMPUTATION OF ROAD TRAFFIC NOISE LEVELS : THE DYNAMAP'S MILAN CASE STUDY F. Orga (1), R. M. Alsina-Pagès.
Soma Mukherjee for LIGO Science Collaboration
WaveMon and Burst FOMs WaveMon WaveMon FOMs Summary & plans
Results from TOBAs Cross correlation analysis to search for a Stochastic Gravitational Wave Background University of Tokyo Ayaka Shoda M. Ando, K. Okada,
Line tracking methods used in LineMon
John Zweizig LIGO/Caltech
Presentation transcript:

Enhanced NoiseFloorMon : offline analysis results R. Stone & S. Mukherjee Center for Gravitational Wave Astronomy Department of Physics and Astronomy University of Texas at Brownsville. LSC-Virgo Meeting, Baton Rouge, LA March 21, 2007 DCC # LIGO-G

Outline Review NoiseFloorMon Describe recent revisions Discuss monitor output and channels monitored Offline results Examine threshold crossings To do list

Introduction NoiseFloorMon is a median-based noise floor tracker in operation at L0 and H0 The monitor tracks slow non-stationarities as opposed to glitches or sharp transients. The monitor was developed in 2005 and tested on- site and has been in operation throughout S5

Changes made … Earlier : Tracking AS_Q. Frequency bands: 0-20, , and Hz. Percentage threshold crossings are recorded and minute trends stored. Offline analysis: - looking at trends on a daily basis - comparison with BurstMon output - activities in different frequency bands - correlation with SenseMon output Now : Tracking AS_Q and all seismic channels. Frequency bands : 0-16, 16-32, 32-64, Hz. Minute trends of max threshold crossing and cross correlations with the seismic channels stored. Offline analysis : -looking at trends on a daily basis -studying cross correlations with the seismic channels -Looks up other monitors for comparison.

Location of results/ reports … People … Daily update is made (mostly automated/minimal supervision) and can be accessed at : Some analysis results/shift summaries can also be found at : People who have been involved at various stages of this work S. Mukherjee (algorithm and main code); Roberto Grosso (DMT code); R. Stone (present offline analysis). Past result web page maintenance : T. Inoue & M. Oyervides (undergraduate students).

Typical output

List of auxiliary channels studied EX_SEISXEY_SEISX EX_SEISYEY_SEISY EX_SEISZEY_SEISZ LVEA_SEISXMX_SEISY LVEA_SEISYMY_SEISX LVEA_SEISZMY_SEISY MX_SEISXMY_SEISZ MX_SEISZ H0:PEM-L0:PEM- EX_SEISXLVEA_SEISY EX_SEISYEY_SEISX EX_SEISZEY_SEISY LVEA_SEISXEY_SEISZ LVEA_SEISY

H1

H2

L1

HO Threshold Crossing 0-16 Hz

LO Threshold Crossing 0-16 Hz

LO Threshold Crossing Hz

Future … Continue analyzing S5 and future data. Look for correlation with other monitor results. Make a time-frequency study to see what actually happened during the threshold crossing epochs leading to understanding the relation between the AS_Q and the auxiliary channel in question. Extend the study to micro-seismic band. Chart weekly and monthly trends A new monitor … MicroseisMon ?