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| author | shivesh <s.p.mandalia@qmul.ac.uk> | 2018-04-10 13:03:23 -0500 |
|---|---|---|
| committer | shivesh <s.p.mandalia@qmul.ac.uk> | 2018-04-10 13:03:23 -0500 |
| commit | 326ff3bacfe0c2925afde031aa6287ebe0af0b33 (patch) | |
| tree | 958d3f1f67a0001049e0e3da5096e944026b5224 /submitter/make_dag.py | |
| parent | 01c77997f4212085a1cedc049e6c6bca98a5c1b6 (diff) | |
| download | GolemFlavor-326ff3bacfe0c2925afde031aa6287ebe0af0b33.tar.gz GolemFlavor-326ff3bacfe0c2925afde031aa6287ebe0af0b33.zip | |
add option to fix all but a single BSM mixing angle
Diffstat (limited to 'submitter/make_dag.py')
| -rw-r--r-- | submitter/make_dag.py | 11 |
1 files changed, 7 insertions, 4 deletions
diff --git a/submitter/make_dag.py b/submitter/make_dag.py index 627e3ff..15d195a 100644 --- a/submitter/make_dag.py +++ b/submitter/make_dag.py @@ -31,15 +31,15 @@ fix_sfr_mfr = [ # MCMC run_mcmc = 'True' -burnin = 1000 -nsteps = 4000 +burnin = 500 +nsteps = 2000 nwalkers = 60 seed = 24 threads = 4 mcmc_seed_type = 'uniform' # FR -dimension = [6] +dimension = [3, 6] energy = [1e6] likelihood = 'golemfit' no_bsm = 'False' @@ -50,6 +50,7 @@ energy_dependance = 'spectral' spectral_index = -2 binning = [1e4, 1e7, 10] fix_mixing = 'False' +fix_mixing_almost = 'True' # Likelihood likelihood = 'golemfit' @@ -69,7 +70,7 @@ data = 'real' plot_angles = 'True' plot_elements = 'False' -outfile = 'dagman_FR.submit' +outfile = 'dagman_FR_fix_mixing_almost.submit' golemfitsourcepath = os.environ['GOLEMSOURCEPATH'] + '/GolemFit' condor_script = golemfitsourcepath + '/scripts/flavour_ratio/submitter/submit.sub' @@ -130,6 +131,7 @@ with open(outfile, 'w') as f: f.write('VARS\tjob{0}\tbinning_0="{1}"\n'.format(job_number, binning[0])) f.write('VARS\tjob{0}\tbinning_1="{1}"\n'.format(job_number, binning[1])) f.write('VARS\tjob{0}\tbinning_2="{1}"\n'.format(job_number, binning[2])) + f.write('VARS\tjob{0}\tfix_mixing_almost="{1}"\n'.format(job_number, fix_mixing_almost)) job_number += 1 # for frs in full_scan_mfr: @@ -175,4 +177,5 @@ with open(outfile, 'w') as f: # f.write('VARS\tjob{0}\tbinning_0="{1}"\n'.format(job_number, binning[0])) # f.write('VARS\tjob{0}\tbinning_1="{1}"\n'.format(job_number, binning[1])) # f.write('VARS\tjob{0}\tbinning_2="{1}"\n'.format(job_number, binning[2])) + # f.write('VARS\tjob{0}\tfix_mixing_almost="{1}"\n'.format(job_number, fix_mixing_almost)) # job_number += 1 |