- gstlal-calibration is not touched

- 14cf8072 introduced a ln L offset for singles but put it into the numerator.  that is not allowed:  the numerator (and the denominator) must be the *real* distribution density for signal (and noise) candidates, we rely on that being true for astrophysical rate estimation (and false-alarm probability measurement).  ranking statistic hacks go into the ranking statistic, which we define based on these two PDFs in far.py

Chad Hanna authored 6 years ago and Kipp Cannon committed 6 years ago

gstlal_inspiral, gstlal_inspiral_create_prior_diststats, far.py, inspiral_lr.py, svd_bank.py: add support for per template corrections to the horizon distance used in the likelihood ratio using the sigma values computed during the SVD decomposition

This reverts commit 62952454.

- use TYPICAL_HORIZON_DISTANCE constant instead of 100. for the typical
  horizon distance

- avoid evaluating float("-inf") in performance sensitive paths

- missing Dataless and Frankenstein ranking stats

- fix spelling error in name
- population_model_file needs to be passed as keyword argument in
  numerator's .splice() method

- of InspiralExtrinsics

This reverts commit 9159362d.

- .from_pyvalue() now supports None

inspiral_lr: remove chads mass mode file in favor of Heather's population model file.  Additionally make sure that the iadd method can handle situations where not all objects have a population model specified, but force them to be the same if they do

inspiral_lr.py: remove the hardcoded 150 for horizon distance normalization and make a module level symbol

- add hacks (some of which might prove to be permanent) to filter out
  sub-threshold triggers, preventing them from contaminating the ranking
  statistic PDFs

- switch ranking statistic to this unconditionally for the October 2018
  open public alert test run.  after the test run and before O3 we will
  introduce more user-friendly plumbing allowing this to work with other
  template banks.
- NOTE:  git-lfs is used for any file ending in .hdf5 in the
  population_models/ tree

- NOTE:  a matching patch has already been pushed to glue, so all SnglInspiral
  row object types now provide the simulated attribute

- instead of a dictionary of SNRs and keyword arguments of (SNR,
  \chi^2/SNR^2) pairs, switch to a dictionary of SNRs and a dictionary of
  \chi^2/SNR^2
- this is the first step toward re-defining the ranking stat as the ln L
  maximized over subsets of triggers.  this re-organization will simplify
  the iterations require to implement that feature

Revert "Revert "inspiral_lr.py: Add population model to ranking statistic. Population model information in inspiral_intrinsics.py.""

This reverts commit 411d672e.

Revert "inspiral_lr.py: Add population model to ranking statistic. Population model information in inspiral_intrinsics.py."

This reverts commit 1cf67f62.

inspiral_lr.py: Add population model to ranking statistic. Population model information in inspiral_intrinsics.py.