Review Meeting June 18, 2014

Table of Contents

• Agenda
• Minutes
  • Code review: multirate_datasource.mkwhitened_multirate_src
• Code review: inspiral_pipe.py
  • Status of Action Items from Cardiff meeting

Review Meetings Page

Agenda

• See completed action items here: gstlalinspirallowlatencysearchpage
• Suggest we continue with python codes: multirate_datasource.py cbc_template_fir.py inspiral_pipe.py
• Suggest we continue with the whitener element

Minutes

Actions:

• Sathya to contact Marcel Kehl to enquire about goals of testing constant template banks.

Code review: multirate_datasource.mkwhitened_multirate_src

• Resamplers (really downsamplers) are missing in the graph of

• Is the h(t) gate really necessary? It shouldnt really be used unless there is something really wrong with the data. Wishlist: Tee off from the control panel and record on/off (This is already done).

• Florent says we should never use an h(t) veto, unless there are some large SNR excursions ~ 10,000, e.g.

• Task for the review team: Check what data was analysed and how much data was "lost" due to application of internal data quality.

• There seems to be a bug in resampler (even) in the latest version of gstreamer; (produces one few sample). We need to better understand the consequence of this bug.

• The vetos applied will not be the same for the online and offline analysis.

• Is it possible to move this out of gstlalinspiral and put it in gstlalmkstream?

• There seems to be a bug in resampler (even) in the latest version of gstreamer; (produces one few sample). We need to better understand the consequence of this bug. Review Status: OK with minor actions.

Code review: inspiral_pipe.py

• In inspiral_pipe.py Fix the InsiralJob.___init___: fix the arguments

• On line 201, fix the comment or explain what the comment is meant to be

• Review status: OK with minor actions

Status of Action Items from Cardiff meeting

• Test robustness of template bank
  • Ongoing tests by Marcel Kehl (grad student at CITA).
• Analysis Makefiles should be documented
  • Started
• Test delta function input to LLOID algorithm
  • Ongoing at UWM
• Synpses of all programs in documentation
  • Done
• Background estimations should have more informative plots e.g., smoothed likelihood functions
  • Ongoing at Penn State.
• Study the dependence of coincidence triggers on SNR threshold Document offline pipeline including graphs of workflows
  • Chad: Done, see Offline search documentation
• Test pipeline with control peak times set to different values
  • Chad: Done, see Study of the composite detection statistic, (i.e., control-peak-time)
• Write documentation for autochisq
  • Paper in progress
• Write joint likelihood ranking and FAP calculation
  • Paper in progress
• Explore autocorrelation chisquared mismatch scaling with number of samples e.g., $ + () ^{2} $
• Make sure capsfilters and other similar elements are well documented within graphs (e.g. put in rates, etc)
• Add description of arrows in graphs
• Verify that all the segments are being tracked in online mode via the Handler (this is coupled to the inspiral.Data class, so it will come up again there)
• Feature request for detchar - It would be helpful to have online instrument state that could be queried to know if an instrument will be down for an extended time