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Earth-Shaking Effects

Assessing EQ Mode Impacts on LLO DQ

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Robert M. Beda

July 2, 2020

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Overview

Context

  • What is EQ Mode?
  • Previous work at LHO
  • Commissioner information on configuration tracking

Current Decisions

  • Why glitch rates?
  • 30-second averages and temporal trends

Next Steps

  • Undesired noise sources

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Understanding EQ Mode

  • Earthquakes at observatory sites can cause laser cavities to lose lock.

Shaking ground ---> Shaking mirrors ---> Unstable resonance in IFO cavities

  • Preventing lock loss helps to maximize useful observing time.

  • Changing the behaviour of seismic isolation platforms during earthquakes can prevent lockloss due to EQs.

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Previous Work

We are building on a report concerning the effects on BNS range and glitch rates of transitions to and from LHO EQ Mode: https://docs.google.com/document/d/1QRJjDHjEjjRVa_5cqBDLcwskDhnK2W

Document authors: Brennan Hughey, John Zweizig, Nicolas Arnaud, and Dripta Bhattacharjee

Glitch rate data they reported:

��

4

SNR(>=)

Tran - 8

Tran - 2

Trans

Tran + 8

Tran + 2

5

0.44061

0.43222

0.49538

0.49446

0.467307

6

0.01928

0.02827

0.04559

0.03022

0.02280

10

0.00697

0.00935

0.00951

0.00539

0.00494

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Goals for LLO Extension

  • Understand the uncertainties in DQ-related values for statistical comparison between configurations
  • Intelligently select and sift for useful time segment categories
  • Account for potential differences between IFO sites

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Commissioner Info

aLog 51380 contains the information with which we started in searching for channels indicating observatory configuration. Information below is from there.

Definition 1 Summary:

Transition to EQ MODE: L1:GRD-SEI_CONFIG_STATE_N == 14 ("SWITCH_IFO_SENSCOR_TO_EQ_DM")

EQ MODE: L1:GRD-SEI_CONFIG_STATE_N == 15 ("EARTHQUAKE_ON")

Transition out of EQ MODE: L1:GRD-SEI_CONFIG_STATE_N == 9 ("SWITCH_IFO_SENSCOR_TO_NOMINAL")

EQ Mode Off: L1:GRD-SEI_CONFIG_STATE_N == 10 ("EARTHQUAKE_OFF ")

Definition 2 Summary:

If any of the channels L1:ISI-{BSC_ST1 or HAM}_SENSCOR_{X or Y or Z}_FADE_CUR_CHAN_MON == 5, 6 or 7 this means the earthquake mode is engaged (Currently using FM5)

The transition timing can be monitored by this countdown channel : L1:ISI-{BSC_ST1 or HAM}_SENSCOR_{X or Y or Z}_FADE_TIME_LEFT_MON

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Obligatory IFO Diagram

Credit: J. Kissel, DCC LIGO-G12000

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Comparing Definitions

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Feb 13 - Raine Hasskew reports in aLog 51639 that LLO was in EQ Mode during 1047 UTC 2/13/20 through 0417 UTC 2/14/20

Method 1: Transition to 15 (‘EQ_ON’) inconsistent with aLog

Method 2: Transition to 5 consistent with aLog

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Why Glitch Rates?

“the systematic removal of noisy data from analysis time is shown to improve the sensitivity of searches for compact binary coalescences” (Abbot et al. 2018)

  • Correlation between glitch rates and ‘search volume sensitivity’ (minimum discernible signal strength of an event).
  • Qualitatively gaussian rate distributions indicate that statistical comparisons are possible.

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An example, and a Mystery

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Unwelcome Noise

These noise sources also influence glitch rates, and thus should be removed to isolate for observatory configuration effects.

  • Wind

Potential solutions include removing wind speeds >= 5m/s and applying a cutoff to tilt motion channels - caveat concerning ‘glitchy’ behavior inconsistent with other SEI information.

  • Anthropogenic Sources

Potential solutions include BLRMS_3_10<=500 nm/s and cutting known high-noise times out from data examined

  • Microseism

Potential solutions include the fixed threshold BLRMS_100M_300M<=1000nm/s

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Conclusion

  • Glitch rates are a useful metric for determining IFO data quality

  • We can measure glitch rates during times coinciding with different detector states, and establish uncertainties for them. We are planning to do this for comparison between earthquake-related detector states.

  • In order to examine potential state-DQ correlations, we need to compare times with different states, but similar environmental conditions

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Noteworthy Contributions

  • Project management: Jess McIver, Evan Goetz
  • Seismic Expertise: Beverly Berger
  • Coding Assistance: Arnaud Pele, Katie Rink

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Works Cited

B P Abbot et al. (2018). Effects of data quality vetoes on a search for compact binary coalescences in Advanced LIGO’s first observing run. Classical and Quantum Gravity, 35.(6). 10.1088/1361-6382/aaaafa

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