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-rw-r--r--submitter/sens_dag.py31
1 files changed, 17 insertions, 14 deletions
diff --git a/submitter/sens_dag.py b/submitter/sens_dag.py
index 2cecfe9..63aaaba 100644
--- a/submitter/sens_dag.py
+++ b/submitter/sens_dag.py
@@ -9,9 +9,9 @@ full_scan_mfr = [
fix_sfr_mfr = [
(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, 1, 1, 0, 0),
+ # (1, 1, 1, 0, 1, 0),
+ # (1, 1, 1, 0, 0, 1),
# (1, 1, 0, 1, 2, 0),
# (1, 1, 0, 1, 0, 0),
# (1, 1, 0, 0, 1, 0),
@@ -24,12 +24,13 @@ fix_sfr_mfr = [
GLOBAL_PARAMS = {}
# Bayes Factor
+sens_eval_bin = 'all' # set to 'all' to run normally
GLOBAL_PARAMS.update(dict(
sens_run = 'True',
- run_method = 'full',
- stat_method = 'bayesian',
+ run_method = 'corr_angle',
+ stat_method = 'frequentist',
sens_bins = 10,
- sens_eval_bin = 'all' # set to 'all' to run normally
+ seed = 'None'
))
# MultiNest
@@ -69,11 +70,13 @@ GLOBAL_PARAMS.update(dict(
plot_statistic = 'True'
))
-outfile = 'dagman_FR_SENS.submit'
+outfile = 'dagman_FR_SENS_{0}_{1}.submit'.format(
+ GLOBAL_PARAMS['stat_method'], GLOBAL_PARAMS['run_method']
+)
golemfitsourcepath = os.environ['GOLEMSOURCEPATH'] + '/GolemFit'
condor_script = golemfitsourcepath + '/scripts/flavour_ratio/submitter/sens_submit.sub'
-if GLOBAL_PARAMS['sens_eval_bin'].lower() != 'all':
+if sens_eval_bin.lower() != 'all':
if GLOBAL_PARAMS['run_method'].lower() == 'corr_angle':
sens_runs = GLOBAL_PARAMS['sens_bins']**2
else:
@@ -105,9 +108,9 @@ with open(outfile, 'w') as f:
f.write('VARS\tjob{0}\tsr1="{1}"\n'.format(job_number, frs[4]))
f.write('VARS\tjob{0}\tsr2="{1}"\n'.format(job_number, frs[5]))
f.write('VARS\tjob{0}\tsens_eval_bin="{1}"\n'.format(job_number, r))
- for key in GLOBAL_PARAMS.keys():
- f.write('VARS\tjob{0}\tmr0="{1}"\n'.format(job_number, GLOBAL_PARAMS[key]))
- f.write('VARS\tjob{0}\toutfile="{1}"\n'.format(job_number, outfile))
+ 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, output))
job_number += 1
for frs in full_scan_mfr:
@@ -128,7 +131,7 @@ with open(outfile, 'w') as f:
f.write('VARS\tjob{0}\tsr1="{1}"\n'.format(job_number, 0))
f.write('VARS\tjob{0}\tsr2="{1}"\n'.format(job_number, 0))
f.write('VARS\tjob{0}\tsens_eval_bin="{1}"\n'.format(job_number, r))
- for key in GLOBAL_PARAMS.keys():
- f.write('VARS\tjob{0}\tmr0="{1}"\n'.format(job_number, GLOBAL_PARAMS[key]))
- f.write('VARS\tjob{0}\toutfile="{1}"\n'.format(job_number, outfile))
+ 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, output))
job_number += 1