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| author | shivesh <s.p.mandalia@qmul.ac.uk> | 2018-11-08 15:03:08 -0600 |
|---|---|---|
| committer | shivesh <s.p.mandalia@qmul.ac.uk> | 2018-11-08 15:03:08 -0600 |
| commit | 198ecfe008d28c2dc6c39c1f405e2ffdc96c26ac (patch) | |
| tree | 6cb3ceec3d5a6714c13639e8252b159dc05a6c86 /submitter/mcmc_dag.py | |
| parent | 845c55c269a59620bbf8a6c0d8adab575e1185dc (diff) | |
| parent | 8a3ec14f263587af8fa87c019afd35e0b9508fbb (diff) | |
| download | GolemFlavor-198ecfe008d28c2dc6c39c1f405e2ffdc96c26ac.tar.gz GolemFlavor-198ecfe008d28c2dc6c39c1f405e2ffdc96c26ac.zip | |
Merge branch 'master' of github.com:ShiveshM/flavour_ratio
Diffstat (limited to 'submitter/mcmc_dag.py')
| -rw-r--r-- | submitter/mcmc_dag.py | 44 |
1 files changed, 22 insertions, 22 deletions
diff --git a/submitter/mcmc_dag.py b/submitter/mcmc_dag.py index 5a44411..1356965 100644 --- a/submitter/mcmc_dag.py +++ b/submitter/mcmc_dag.py @@ -8,8 +8,8 @@ full_scan_mfr = [ ] fix_sfr_mfr = [ - (1, 1, 1, 1, 2, 0), - (1, 1, 1, 1, 0, 0), + # (1, 1, 1, 1, 2, 0), + # (1, 1, 1, 1, 0, 0), (1, 1, 1, 0, 1, 0), # (1, 1, 1, 0, 0, 1), # (1, 1, 0, 1, 2, 0), @@ -44,7 +44,7 @@ GLOBAL_PARAMS.update(dict( scale_region = "1E10", energy_dependance = 'spectral', spectral_index = -2, - fix_mixing = 'T23', + fix_mixing = 'T13', fix_mixing_almost = 'False', fold_index = 'True' )) @@ -100,24 +100,24 @@ with open(outfile, 'w') as f: f.write('VARS\tjob{0}\toutfile="{1}"\n'.format(job_number, outchains)) job_number += 1 - for frs in full_scan_mfr: - print 'frs', frs - outchains = outchain_head + '/full/' - if GLOBAL_PARAMS['likelihood'].lower() == 'gaussian': - outchains += '{0}/'.format(str(GLOBAL_PARAMS['sigma_ratio']).replace('.', '_')) - outchains += 'mcmc_chain' - f.write('JOB\tjob{0}\t{1}\n'.format(job_number, condor_script)) - f.write('VARS\tjob{0}\tdimension="{1}"\n'.format(job_number, dim)) - f.write('VARS\tjob{0}\tmr0="{1}"\n'.format(job_number, frs[0])) - f.write('VARS\tjob{0}\tmr1="{1}"\n'.format(job_number, frs[1])) - f.write('VARS\tjob{0}\tmr2="{1}"\n'.format(job_number, frs[2])) - f.write('VARS\tjob{0}\tfix_source_ratio="{1}"\n'.format(job_number, False)) - f.write('VARS\tjob{0}\tsr0="{1}"\n'.format(job_number, 0)) - f.write('VARS\tjob{0}\tsr1="{1}"\n'.format(job_number, 0)) - f.write('VARS\tjob{0}\tsr2="{1}"\n'.format(job_number, 0)) - for key in GLOBAL_PARAMS.iterkeys(): - f.write('VARS\tjob{0}\t{1}="{2}"\n'.format(job_number, key, GLOBAL_PARAMS[key])) - f.write('VARS\tjob{0}\toutfile="{1}"\n'.format(job_number, outchains)) - job_number += 1 + # for frs in full_scan_mfr: + # print 'frs', frs + # outchains = outchain_head + '/full/' + # if GLOBAL_PARAMS['likelihood'].lower() == 'gaussian': + # outchains += '{0}/'.format(str(GLOBAL_PARAMS['sigma_ratio']).replace('.', '_')) + # outchains += 'mcmc_chain' + # f.write('JOB\tjob{0}\t{1}\n'.format(job_number, condor_script)) + # f.write('VARS\tjob{0}\tdimension="{1}"\n'.format(job_number, dim)) + # f.write('VARS\tjob{0}\tmr0="{1}"\n'.format(job_number, frs[0])) + # f.write('VARS\tjob{0}\tmr1="{1}"\n'.format(job_number, frs[1])) + # f.write('VARS\tjob{0}\tmr2="{1}"\n'.format(job_number, frs[2])) + # f.write('VARS\tjob{0}\tfix_source_ratio="{1}"\n'.format(job_number, False)) + # f.write('VARS\tjob{0}\tsr0="{1}"\n'.format(job_number, 0)) + # f.write('VARS\tjob{0}\tsr1="{1}"\n'.format(job_number, 0)) + # f.write('VARS\tjob{0}\tsr2="{1}"\n'.format(job_number, 0)) + # for key in GLOBAL_PARAMS.iterkeys(): + # f.write('VARS\tjob{0}\t{1}="{2}"\n'.format(job_number, key, GLOBAL_PARAMS[key])) + # f.write('VARS\tjob{0}\toutfile="{1}"\n'.format(job_number, outchains)) + # job_number += 1 print 'dag file = {0}'.format(outfile) |