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authorshivesh <s.p.mandalia@qmul.ac.uk>2018-11-08 15:03:08 -0600
committershivesh <s.p.mandalia@qmul.ac.uk>2018-11-08 15:03:08 -0600
commit198ecfe008d28c2dc6c39c1f405e2ffdc96c26ac (patch)
tree6cb3ceec3d5a6714c13639e8252b159dc05a6c86 /submitter/sens_dag.py
parent845c55c269a59620bbf8a6c0d8adab575e1185dc (diff)
parent8a3ec14f263587af8fa87c019afd35e0b9508fbb (diff)
downloadGolemFlavor-198ecfe008d28c2dc6c39c1f405e2ffdc96c26ac.tar.gz
GolemFlavor-198ecfe008d28c2dc6c39c1f405e2ffdc96c26ac.zip
Merge branch 'master' of github.com:ShiveshM/flavour_ratio
Diffstat (limited to 'submitter/sens_dag.py')
-rw-r--r--submitter/sens_dag.py12
1 files changed, 6 insertions, 6 deletions
diff --git a/submitter/sens_dag.py b/submitter/sens_dag.py
index b3dcda8..47abd59 100644
--- a/submitter/sens_dag.py
+++ b/submitter/sens_dag.py
@@ -35,15 +35,15 @@ GLOBAL_PARAMS.update(dict(
# MultiNest
GLOBAL_PARAMS.update(dict(
- mn_live_points = 1000,
+ mn_live_points = 4000,
mn_tolerance = 0.1,
mn_output = './mnrun'
))
# FR
-dimension = [3]
+# dimension = [3]
# dimension = [3, 6]
-# dimension = [3, 4, 5, 6, 7, 8]
+dimension = [3, 4, 5, 6, 7, 8]
GLOBAL_PARAMS.update(dict(
threads = 1,
binning = '6e4 1e7 20',
@@ -65,7 +65,7 @@ GLOBAL_PARAMS.update(dict(
# GolemFit
GLOBAL_PARAMS.update(dict(
ast = 'p2_0',
- data = 'realisation'
+ data = 'real'
))
# Plot
@@ -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 += '_seed2'
+# 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 += 'seed2/'
+ # output += 'seed2/'
for r in xrange(sens_runs):
print 'run', r
f.write('JOB\tjob{0}\t{1}\n'.format(job_number, condor_script))