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Review Committee Meeting Monday 16 October 2006 12:00 Pacific / 15:00 Eastern

Minutes: Monday 16 October 2006 12:00 Pacific / 15:00 Eastern

Agenda and Contact Info


Note: this will be a short meeting.
  1. SGR QPO Update [ HTML ]
  2. S4 Untriggered Search Update
  3. GRB Search Update

Contact Info

AccuConference teleconferencing service:
   Phone: 1-800-704-9896, participant code: 038621#
   International callers ++1-404-920-6472 with same code


  1. SGR QPO Update
    • Uncertainties: "systematic" is difference depending on whether outliers are ignored or not in fitting of the gaussian; "statistical" is the uncertainty in the fit parameters (when outliers are ignored); "calibration" is 25% calibration uncertainty.
    • Account for some of these by Monte Carlo using FC. This was done differently in S1 -- there some procedure by Conrad et al. was used. Luca will email Laura to find out what was done in S1 to account for uncertainties in background using FC procedure.
    • Calibration: Brian is somewhat surprised that the uncertainty is as large as 25% (1-sigma ... 40% for 90% error bars) -- will touch base with Mike -- perhaps a better job can be done if it is important.
    • Expect a paper draft to be available later in the week.
  2. S4 Untriggered Search Update
    • Comments received so far have been acted upon. Still need to do a few things.
    • Keith Thorne and Laura are continuing with CorrPower code review and are making good progress.
  3. GRB Search Update
    • Possible off-by-one issue with the 1% curves on the binomial dist plots -- as reported in last week's minutes.
    • Peter: correctness issue regarding difference between hrss and hrss,det. Needs to be cleared up.
    • Issue of reorganization: opportunity to say up front that the binomial distribution is the detection strategy used in this paper; the population study is presented as an illustration in this paper but is anticipated to be a more significant portion of future analyses as sensitivity improves. Advantage of the population method is also that it yields model constraints -- not just a detection method.
    • Issue of injections: Jolien is concerned that by injecting into the same 180s section of data then, for very weak injections, it is not possible to get a max-cc value lower than the observed max-cc value no matter how low the observed max-cc value is! Contrast this to if the injections were done in off-source segments: then it is possible even with very weak injections for the max-cc value to be greater than the on-source max-cc value. For example: see the issue that arose in the SGR analysis. This is a bias is the upper limits. Expect that the bias should be fairly small since it would be unlikely that the cc value near a weak injection would be greater than the max-cc value even if the injection is done in the background segments. But for completeness, injections should probably be done in the background for the purpose of measuring efficiency.
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