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| author | shivesh <s.p.mandalia@qmul.ac.uk> | 2018-08-27 12:36:05 -0500 |
|---|---|---|
| committer | shivesh <s.p.mandalia@qmul.ac.uk> | 2018-08-27 12:36:05 -0500 |
| commit | d194af1fcbafa61b14888a661b8325840605a8fd (patch) | |
| tree | 923ba75b35c400fda476872370de334f1e023991 /submitter | |
| parent | 639686cde9e43b4ad18f9b56960da3f5e8c697dd (diff) | |
| download | GolemFlavor-d194af1fcbafa61b14888a661b8325840605a8fd.tar.gz GolemFlavor-d194af1fcbafa61b14888a661b8325840605a8fd.zip | |
add planck scale in plot
Diffstat (limited to 'submitter')
| -rw-r--r-- | submitter/sens_dag.py | 12 |
1 files changed, 6 insertions, 6 deletions
diff --git a/submitter/sens_dag.py b/submitter/sens_dag.py index 6734278..1dc0ed8 100644 --- a/submitter/sens_dag.py +++ b/submitter/sens_dag.py @@ -30,7 +30,7 @@ GLOBAL_PARAMS.update(dict( run_method = 'fixed_angle', # full, fixed_angle, corr_angle stat_method = 'bayesian', sens_bins = 20, - seed = 'None' + seed = None )) # MultiNest @@ -41,9 +41,9 @@ GLOBAL_PARAMS.update(dict( )) # FR -# dimension = [3] -dimension = [3, 6] -# dimension = [4, 5, 7, 8] +dimension = [3] +# dimension = [3, 6] +# dimension = [3, 4, 5, 6, 7, 8] GLOBAL_PARAMS.update(dict( threads = 1, binning = '6e4 1e7 20', @@ -77,7 +77,7 @@ outfile = 'dagman_FR_SENS_{0}_{1}_{2}_{3}'.format( GLOBAL_PARAMS['stat_method'], GLOBAL_PARAMS['run_method'], GLOBAL_PARAMS['likelihood'], GLOBAL_PARAMS['data'] ) -# outfile += '_100TeV' +outfile += '_seed2' outfile += '.submit' golemfitsourcepath = os.environ['GOLEMSOURCEPATH'] + '/GolemFit' condor_script = golemfitsourcepath + '/scripts/flavour_ratio/submitter/sens_submit.sub' @@ -101,7 +101,7 @@ with open(outfile, 'w') as f: output = outchain_head + '/fix_ifr/' if GLOBAL_PARAMS['likelihood'].lower() == 'gaussian': output += '{0}/'.format(str(GLOBAL_PARAMS['sigma_ratio']).replace('.', '_')) - # output += '100TeV/' + output += 'seed2/' for r in xrange(sens_runs): print 'run', r f.write('JOB\tjob{0}\t{1}\n'.format(job_number, condor_script)) |