def startup(NN=1, multi=False, **kwargs):
n = 4
Nexp = 10000 // NN
NMC = 500000 // NN
if multi:
llh = data.multi_init(n, Nexp, NMC, ncpu=4, **kwargs)
mc = dict([(i, data.MC(NMC)) for i in range(n)])
else:
llh = data.init(Nexp, NMC, ncpu=4, **kwargs)
mc = data.MC(NMC)
return llh, mc
def startup(NN=1, multi=False, **kwargs):
n = 4
Nexp = 10000 // NN
NMC = 500000 // NN
if multi:
llh = data.multi_init(n, Nexp, NMC, ncpu=4, **kwargs)
mc = dict([(i, data.MC(NMC)) for i in range(n)])
else:
llh = data.init(Nexp, NMC, ncpu=4, **kwargs)
mc = data.MC(NMC)
return llh, mc
import data
from skylab.psLLH import MultiPointSourceLLH
from scipy.stats import chi2
import healpy as hp
import numpy as np
import matplotlib.pyplot as plt
# convert test statistic to a p-value for a given point
pVal_func = lambda TS, dec: -np.log10(0.5 * (chi2(len(llh.params)).sf(TS) + chi2(len(llh.params)).cdf(-TS)))
if __name__ == "__main__":
# init the llh class
llh = data.multi_init(4, 1000, 100000, ncpu=1, energy=True)
print(llh)
# iterator of all-sky scan with follow up scans of most interesting points
for i, (scan, hotspot) in enumerate(llh.all_sky_scan(nside=16, pVal=pVal_func, decRange=np.radians([-90.0, 90.0]))):
if i > 0:
# break after first follow up
break
# plot results
hp.mollview(scan["pVal"], min=0.0, cmap=plt.cm.afmhot, rot=[-180.0, 0.0, 0.0])
if isinstance(llh, MultiPointSourceLLH):
for llh in llh._sams.itervalues():
hp.projscatter(
np.degrees(llh.exp["ra"]),
# -*-coding:utf8-*-
from data import multi_init
from scipy.stats import chi2
import healpy as hp
import numpy as np
import matplotlib.pyplot as plt
# convert test statistic to a p-value for a given point
pVal_func = lambda TS, dec: -np.log10(0.5 * (chi2(1).sf(TS) + chi2(1).cdf(-TS)))
if __name__=="__main__":
# init the llh class
llh = multi_init(3, 1000, 10000,
energy=False, ncpu=4)
print(llh)
# iterator of all-sky scan with follow up scans of most interesting points
for i, (scan, hotspot) in enumerate(llh.all_sky_scan(nside=32,
pVal=pVal_func)):
if i > 0:
# break after first follow up
break
# plot results
hp.mollview(scan["pVal"], min=0., cmap=plt.cm.afmhot)
col = plt.gca()._get_lines.color_cycle
for enum, llh_i in llh._sams.iteritems():
hp.projscatter(np.degrees(llh_i.exp["ra"]),
