S3 Glitch Updates Laura Cadonati

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Presentation transcript:

S3 Glitch Updates Laura Cadonati for the burst/inspiral glitch working group LSC meeting – Hanford, August 17 2004

Lessons learned from S2 moving on to S3 pursuing loudest event candidates, interesting discoveries for detector characterization example: AS_Q gain dips (See Gabi’s talk) PEM vetos matter focus on H1-H2 correlations Except for outliers, different algorithms see different glitches need to explore use of time-frequency methods on auxiliary channels Veto figure of merit which one is used is not critical, as long as we choose one

Strategies for S3 veto search UPPER LIMIT MODE Continuing “old fashioned” veto searches: statistical correlations between transients on auxiliary channels and burst/inspiral candidates on AS_Q → “upper limit mode” Identify selected features in the playground, using loudest events, to be extended to the full dataset H1-H2 correlations and PEM channels DETECTION MODE After-the-fact veto for candidate events checklist for event candidates How fast a response can we provide? Can we train for an online analysis for S4?

Auxiliary Channel Glitch Search Archive for S3 glitches (A. Di Credico) Production is done by authors/users More than data: links to documentation, results based on those data and records of choices made Fruitful collaboration between burst and inspiral group http://lancelot.mit.edu/ldas/dc/S3GlitchRuns.html Glitches produced on S3 PG data by: glitchMon (Author: M. Ito Production: N. Christensen, A. Di Credico) several triggers available, used in inspiral search (burst so far used online triggers) looking for optimal parameter settings? PTmon (Author & Production: N. Zotov) ready for prime time kleineWelle (Authors: L. Blackburn, E. Katsavounidis Production: P. Richerme) used in burst search waveMon (Author:S. Klimenko Production: K. Franzen)

How the S3 online triggers have been used completed scan of glitchMon and PSLmon triggers on AS_Q vs auxiliary channels (P. Richerme) completed as of June LSC in particular: H1: AS_I, POB_I H2: AS_I, POB_Q, MICH_CTRL L1: AS_I Anomaly in online triggers on REFL_Q Inspiral triggers from online production used with offline glitch production to start playground search (although a more comprehensive offline production is used now) (H. Bantilan, N. Christensen, G. Gonzalez) No Burst ETG triggers were produced online

Status of offline S3 glitch production/analysis glitchMon triggers validation with software injections using DMTgen (A. Di Credico) existing production (A. Di Credico, N. Christensen) is being used for: S3 inspiral veto search (H. Bantilan, N. Christensen, G. Gonzalez) rate comparison/stability studies in the S3 playground (A. Dawson) WaveMon triggers validated with software injections, addressed open question on effective deadtime of WaveMon triggers (K, Franzen, S. Klimenko) currently in production mode (K. Franzen) kleineWelle triggers run on AS_Q and various aux channel (L . Blackburn, P. Richerme) existing production used for burst veto studies (P. Richerme)

Interferometric auxiliary channels

L1 burst/inspiral veto search: AS_Q/AS_I correlations AS_Q 700 Hz HP AS_I AS_I 700 Hz HP AS_Q 70 Hz HP AS_I 70 Hz HP

L1 burst/inspiral veto search: AS_Q/AS_I correlations What is it? oscillator phase noise -> see Gaby’s talk Possible inspiral veto (conditional on AS_I/AS_Q coincidence and amplitude ratio above 700Hz)  Gaby’s talk black: all AS_Q red: vetoed Seen in burst investigation too. e.g.: kleineWelle studies: all events >4s veto efficiency =31% use percentage = 91% AS_I and AS_Q energy>2000 veto efficiency =61% use percentage = 76%

more L1 results from KleineWelle Channel all events >4s energy>2000 L1 LSC-MICH_CTRL use percentage: 49.48% veto efficiency: 10.13% use percentage: 75.76% veto efficiency : 45.26% LSC-PRC_CTRL use percentage: 53.06% veto efficiency: 13.71% use percentage: 66.47% veto efficiency: 46.77% MICH_CTRL 70Hz HP

H2 burst/inspiral veto search: AS_I/POB_Q/MICH_CTRL/PRC_CTRL

H2 burst/inspiral veto search: AS_I/POB_Q/MICH_CTRL/PRC_CTRL AS_AC AS_DC REFL_DC SPOB_MON for some loud events Channel BURST KW all events >4s outliers Inspiral BNS AS_I use: 59% eff : 71% use: 61% eff : 79% PRC_CTRL use: 75% eff : 29% use: 60% eff : 42% MICH_CTRL use: 37% eff : 24% use: 32% eff : 83% looks good POB_Q use: 39% eff : 7% use: 10% eff : 30% POB_I use: 94% eff : 4% REFL_Q use: 45% eff : 5% eff :31% BNS SNR>10 deadtime %

H1 burst/inspiral veto search: AS_I/POB_Q/MICH_CTRL/PRC_CTRL Channel BURST KW all events >4s outliers Inspiral BNS AS_I use: 15% eff : 10% use: 19% eff : 30% PRC_CTRL use: 6% eff : 1% use: 35% eff : 49% MICH_CTRL use: 8% eff : 1% use: 33% eff : 52% nothing AS_AC, AS_I, MICH_CTRL, POB_I, POB_Q, REFL_Q AS_AC AS_DC REFL_DC for some loud events

Are these types of veto going to be used this time? hopefully yes

PEM vetos

H1-H2 PEM injections using waveMon around the time of PEM injections to establish coupling (Harstad, Ito, Schofield) H2:AS_Q vs ISCT10_MIC H1:AS_Q vs BSC1_MAG1X PEM likelihood PEM likelihood acoustic coupling magnetic coupling

Inspiral H1 and H2 S3 Veto H0:PEM-LVEA_SEISZ Same event, but different filters on H0:PEM-LVEA_SEISZ H2: Band Pass 2-20 Hz, threshold 9s LVEA_SEISZ Events in H2 playground 37.5% use for +/- 5 s or 10 s windows 16 events; 6 of these events are at the same time as H1 and H2 inspiral triggers. H1: Band Pass 2-20 Hz, threshold=9s LVEA_SEISZ Events in H1 playground 77% use for +/- 10 s windows 13 events, negligible deadtime Bantilan, Christensen

H2 S3 BNS Veto: H0:PEM-RADIO_LVEA H0:PEM-RADIO_LVEA, Bandpass 20-100 Hz threshold 20 s use = 2.1 %, efficiency=14.1% deadtime= 0.1% deadtime % For all of the hardware injections inspected no obvious simultaneous event in RADIO_LVEA Bantilan, Christensen

L1 S3 Veto L0:PEM-RADIO_LVEA Many glitches in L1:LSC-AS_Q simultaneous with glitches in L0:PEM-RADIO_LVEA Power in RADIO goes in 60Hz harmonics Potential problem seen with only one hardware injection. AS_Q and RADIO passed through a 5 Hz to 25 Hz Elliptic filter. This injection had an effective distance of 250 kpc; there were injections up to 20 times larger. Bantilan, Christensen

Summary S3 glitch investigation is active Good potential vetos veto strategy glitch trigger archival and distribution parallel investigative efforts Good potential vetos interferometer channels particularly effective at detecting loudest events veto safety checked with hardware injections PEM playing stronger role will especially explore H1-H2 correlations Approaching a regime where vetos affect the astrophysical results in burst and inspiral searches