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| author | Shivesh Mandalia <shivesh.mandalia@outlook.com> | 2020-04-15 21:12:38 +0100 |
|---|---|---|
| committer | Shivesh Mandalia <shivesh.mandalia@outlook.com> | 2020-04-15 21:12:38 +0100 |
| commit | 8fd307438dc40973b78dbbcd08a8e611add8029a (patch) | |
| tree | 62894282df6ec96d9cf0d0adef7e36e106d8bb35 /golemflavor | |
| parent | 0f0f105cdeea3dc860f9e864a2107394886d282d (diff) | |
| download | GolemFlavor-8fd307438dc40973b78dbbcd08a8e611add8029a.tar.gz GolemFlavor-8fd307438dc40973b78dbbcd08a8e611add8029a.zip | |
Get maxLLH from multinest
Diffstat (limited to 'golemflavor')
| -rw-r--r-- | golemflavor/mn.py | 4 |
1 files changed, 3 insertions, 1 deletions
diff --git a/golemflavor/mn.py b/golemflavor/mn.py index b559197..462fe19 100644 --- a/golemflavor/mn.py +++ b/golemflavor/mn.py @@ -103,4 +103,6 @@ def mn_evidence(mn_paramset, llh_paramset, asimov_paramset, args, prefix='mn'): analyser = analyse.Analyzer( outputfiles_basename=prefix, n_params=n_params ) - return analyser.get_stats()['global evidence'] + evidence = analyser.get_stats()['global evidence'] + maxllh = analyser.get_best_fit()['log_likelihood'] + return (evidence, maxllh) |