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  • 2014_02_PostDAGReorg_PreRankStat
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Created with Raphaël 2.2.027Nov26252423222122212019181917161514151413129876545432131Oct30292827262524232221201817141312111211109865432130Sep2928272827262726272625242321201918171615141312111087654330Aug292827262423222120191817161514131211987654321Update .gitlab-ci.yml to clone *just* the hdf5 file needed from lalsuite-extraadd gstlal_feature_listener for online feature extraction monitoringgstlal_inspiral_mass_model: choose a minimum number of binsUpdate Makefile.offline_tutorial_test: salpeter--> ligostreamthinca: update for snglcoinc api change change hard-coded chisq ratio thresh to be given by option --finalsink-chisq-ratio-threshspiir-ER13spiir-ER13gstlal_inspiral_postcohspiir_plotsummary: remove far if None; display Virgo snr and chisq for noninj outputpipeparts: improve error messagesnglinspiraltable: more performance worksnglinspiraltable: flatten SnglInspiral definitionsnglinspiraltable: performancetest_skymap.py: fix thinkostreamthinca: forgot a linesnglinspiraltable.py: simply .__eq__()gstlal_inspiral_mass_model: divide by len single inspiral table to normalizegstlal_inpsiral: require unique template IDsstreamthinca: improve lower_bound_in_seglist()gstlal_inspiral_mass_model: tweakgstlal_inspiral_mass_model: update ligo mass model. Don't normalize by template densitypython/far.py: lower network snr thresholdgstlal_inspiral_mass_model: replace salpeter model with ligogstlal_inspiral_pipe: replace salpeter model with ligogstlal_compute_strain: Added a trick to make it possible to high-pass filter the inverse sensing path at a lower sample rate without losing information above the Nyquist rate.summarypage and program: daily summary page working for code reviewpostcoh_finalsink.py: chisq_ratio_thresh changed to 8gstlal_inspiral_postcohspiir_online: add dummy option to request kafka dataChanges to build system to allow building at CIT and OzStargstlal_inspiral_marginalize_likelihoods_online: mix in previous samplesinspiral_extrinsics: update normalizations to be appropriate for sngls analysisaggregator.py: update to new kafka data packing schemelloidhander: make fewer kafka messagescs_triggergen: whiten templates, get autocorrelationgstlal_inspiral_pipe: add ligo modelgstlal_inspiral_mass_model: add a ligo modelgstlal_periodic_postcoh_update_detrspmap: fix a verbose errorinspiral_intrinsics.py: allow template IDs start from 0gstlal_inspiral_mass_model: Add template ID for mappinginspiral_intrinsics.py: changed KeyError to IndexErrorinspiral_intrinsics.py fixed typoFixed import error with numpy/np
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