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#! /usr/bin/env python
import os
import numpy as np
sources = [
(1, 2, 0),
(1, 0, 0),
(0, 1, 0),
]
dims = [
3, 4, 5, 6, 7, 8
]
textures = [
'OEU', 'OET', 'OUT'
]
datadir = '/data/user/smandalia/flavour_ratio/data/sensitivity'
scratchdir = '/scratch/smandalia/flavour_ratio'
prefix = ''
# prefix = '_noprior'
golemfitsourcepath = os.environ['GOLEMSOURCEPATH'] + '/GolemFit'
condor_script = golemfitsourcepath + '/scripts/flavour_ratio/submitter/sens_submit.sub'
GLOBAL_PARAMS = {}
# Bayes Factor
GLOBAL_PARAMS.update(dict(
stat_method = 'bayesian',
segments = 10,
seed = 26
))
# MultiNest
GLOBAL_PARAMS.update(dict(
# mn_live_points = 1000,
mn_live_points = 600,
# mn_live_points = 300,
# mn_tolerance = 0.1,
mn_tolerance = 0.3,
mn_output = scratchdir + '/mnrun'
))
# FR
GLOBAL_PARAMS.update(dict(
threads = 4,
binning = '6e4 1e7 20',
no_bsm = 'False'
))
# GolemFit
GLOBAL_PARAMS.update(dict(
ast = 'p2_0',
data = 'real'
))
dagfile = 'dagman_SENS_{0}_{1}'.format(
GLOBAL_PARAMS['stat_method'], GLOBAL_PARAMS['data']
)
dagfile += prefix + '.submit'
with open(dagfile, 'w') as f:
job_number = 1
for dim in dims:
print 'dims', dim
of_d = datadir + '/DIM{0}/{1}'.format(dim, prefix)
for src in sources:
print 'source flavour', src
for tex in textures:
print 'texture', tex
for r in xrange(GLOBAL_PARAMS['segments']):
print 'run', r
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}\tsr0="{1}"\n'.format(job_number, src[0]))
f.write('VARS\tjob{0}\tsr1="{1}"\n'.format(job_number, src[1]))
f.write('VARS\tjob{0}\tsr2="{1}"\n'.format(job_number, src[2]))
f.write('VARS\tjob{0}\ttexture="{1}"\n'.format(job_number, tex))
f.write('VARS\tjob{0}\teval_segment="{1}"\n'.format(job_number, r))
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}\tdatadir="{1}"\n'.format(job_number, of_d))
job_number += 1
print 'dag file = {0}'.format(dagfile)
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