- Sep 22, 2015
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- Sep 21, 2015
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Kipp Cannon authored
- optionally - refs #2555
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Madeline Wade authored
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Madeline Wade authored
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Madeline Wade authored
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- Sep 20, 2015
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Madeline Wade authored
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- Sep 19, 2015
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Madeline Wade authored
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Madeline Wade authored
Add several features to calibration pipeline including ability to compute factors from filters file instead of EPICS channels
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Madeline Wade authored
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- Sep 18, 2015
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Chad Hanna authored
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- Sep 17, 2015
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Chad Hanna authored
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Kipp Cannon authored
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Chad Hanna authored
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Kipp Cannon authored
- fixes return type (not dtype=object)
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Kipp Cannon authored
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Kipp Cannon authored
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Kipp Cannon authored
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- Sep 16, 2015
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Kipp Cannon authored
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Kipp Cannon authored
- on each invocation of the iterative coincidence code, a list of the singles that have not formed coincidences is returned. this patch changes the interpretation from "singles that have not formed coincidences" to "singles that have not formed zero-lag coincidences". i.e., singles that formed time-slide coincidences are now included so that they'll be included in the denominator histogram of (snr, \chi^2) values
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Chad Hanna authored
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- Sep 15, 2015
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Chad Hanna authored
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Chad Hanna authored
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Chad Hanna authored
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- Sep 14, 2015
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Kipp Cannon authored
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Kipp Cannon authored
- this is a rewrite of gstlal_inspiral_lvalert_background_plotter to cause it to pull all input data from the gracedb candidates - the patch makes writing the plots to a local disk optional (and the default is not to) - the patch makes uploading the plots to gracedb optional - there are several reasons for wanting this rewrite: - the plots shown in gracedb are certain to be of exactly the data used to rank the event, not whatever is left on disk from the last snapshot of the online analysis. - the plots don't get successfully generated unless gracedb gets a copy of the data required to reproduce the event's rank, providing some quick visual indication of candidates that might not have a complete record of their origin stored in gracedb. - the plots can be generated on a different machine than the one running the analysis, a machine that might have a newer (nicer) matplotlib installed or might have more free CPU cycles - if somebody modifies the program, makes it generate new plots, or changes the plots somehow, old events can can have new plots (re)generated for them without having to find the machine that was running the analysis or the directory where the analysis was run. - the tool can be used to generate plots for other searches if they provide compatible ranking statistic data (they won't, of course, because the ranking statistic data required by this program is too tightly coupled to the gstlal-based pipeline, but here it's the thought that counts) - refs #2423
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Kipp Cannon authored
- keep the highest-ranked candidate in each integer GPS second
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Kipp Cannon authored
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Kipp Cannon authored
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Kipp Cannon authored
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Kipp Cannon authored
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Madeline Wade authored
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Madeline Wade authored
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- Sep 13, 2015
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Madeline Wade authored
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Madeline Wade authored
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Madeline Wade authored
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Madeline Wade authored
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- Sep 12, 2015
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Chad Hanna authored
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