def gencurves(fname):
global rh,rns,wt
chain = np.genfromtxt(fname+'.chain', skip_header=0, skip_footer=1)
print(chain.shape)
rh = []
rns = []
wt = []
minchis=1e30
for i in range(chain.shape[0]):
x = chain[i,:]
if x[1] < minchis:
q = x[3:]
minchis = x[1]
if chain[i,0] > 100:
rp,rn,a,b = chain[i,6],chain[i,7],chain[i,8],chain[i,9]
if rn < 0:
v = rp*(np.log(4))**.5
else:
rn *= rp
a *= rp
b *= rp
v = Rhalf(rp,rn,a,b)
rh.append(v/30)
rns.append(rn/rp)
w = chain[i,0] - chain[i-1,0]
w /= chain[-1,0] - 100
wt.append(w)
rh = np.array(rh)
rns = np.array(rns)
wt = np.array(wt)
print(np.sum(wt))
print(q)
print(minchis,lcurv.chis(q),1-st.chi2.cdf(minchis,pars[1]-pars[0]+1-7))
lcurv.writecurves(q)
def gencurves(fname):
global rh, rns, wt
chain = np.genfromtxt(fname + '.chain', skip_header=0, skip_footer=1)
print(chain.shape)
rh = []
rns = []
wt = []
minchis = 1e30
for i in range(chain.shape[0]):
x = chain[i, :]
if x[1] < minchis:
q = x[3:]
minchis = x[1]
if chain[i, 0] > 100:
rp, rn, a, b = chain[i, 6], chain[i, 7], chain[i, 8], chain[i, 9]
if rn < 0:
v = rp * (np.log(4))**.5
else:
rn *= rp
a *= rp
b *= rp
v = Rhalf(rp, rn, a, b)
rh.append(v / 30)
rns.append(rn / rp)
w = chain[i, 0] - chain[i - 1, 0]
w /= chain[-1, 0] - 100
wt.append(w)
rh = np.array(rh)
rns = np.array(rns)
wt = np.array(wt)
print(np.sum(wt))
print(q)
print(minchis, lcurv.chis(q),
1 - st.chi2.cdf(minchis, pars[1] - pars[0] + 1 - 7))
lcurv.writecurves(q)
def resid(p):
nobs, x = lcurv.residuals(p)
x = x[:nobs]
return x
lo[0], hi[0] = 750, 850
lo[1], hi[1] = 450, 550
p[0] = 780
p[1] = 480
q = leastsq(resid, p)[0]
"""
rawlnp,ans = metrop.samp(lnprob, lo, hi, 200)
q = 0*p
for k in range(7):
print(min(ans[:,k]), max(ans[:,k]))
q[k] = numpy.median(ans[:,k])
print(q)
print('chi^2 = ',lcurv.chis(q))
"""
print(q)
print(lcurv.chis(q))
q = p
p[0] = 700
p[1] = 600
lcurv.writecurves(q)
pars = [51, 290]
if fname[1] == 'c':
pars += [1.0, Rp, Rn, a, b]
elif fname[1] == 'g':
pars += [1.0, sig, -2, 0, 0]
else:
print('Filename error')
sys.exit()
pars = np.array(pars)
print(pars)
lcurv.readmap()
errlev = 0.04
lcurv.mockdata(pars, errlev)
chain = np.genfromtxt(fname + '.chain', skip_header=0, skip_footer=1)
print(chain.shape)
minchis = 1e30
for i in range(chain.shape[0]):
x = chain[i, :]
if x[1] < minchis:
q = x[3:]
minchis = x[1]
print(q)
print(minchis, lcurv.chis(q),
1 - st.chi2.cdf(minchis, pars[1] - pars[0] + 1 - 7))
lcurv.writecurves(q)
nobs,x = lcurv.residuals(p)
x = x[:nobs]
return x
lo[0],hi[0] = 750,850
lo[1],hi[1] = 450,550
p[0] = 780
p[1] = 480
q = leastsq(resid,p)[0]
"""
rawlnp,ans = metrop.samp(lnprob, lo, hi, 200)
q = 0*p
for k in range(7):
print(min(ans[:,k]), max(ans[:,k]))
q[k] = numpy.median(ans[:,k])
print(q)
print('chi^2 = ',lcurv.chis(q))
"""
print(q)
print(lcurv.chis(q))
q=p
p[0]=700
p[1]=600
lcurv.writecurves(q)
def chisquare(self, Params): return lcurv.chis(Params)
def chisquare(self, Params):
return lcurv.chis(Params)
