def test_fit_time_popov_SN1999em(self):
jd_shift = 20.
dm = -29.38 # D = 7.5e6 pc
# dm = -30.4 # D = 12.e6 pc
curves = sn1999em.read_curves()
lc = curves.get('V')
lc.mshift = dm
time = lc.Time - lc.Tmin
# time = np.exp(np.linspace(np.log(start), np.log(end), n))
popov = Popov('test', R=450., M=15., Mni=0.04, E=0.7)
mags = popov.MagBol(time)
# fit
tshift = myfit(mags, lc)
# plot
ax = popov.plot_Lbol(time)
x = lc.Time + tshift
# x = lc.Time + jd_shift + res
y = lc.Mag
ax.plot(x,
y,
label='%s SN 1999em' % lc.Band.Name,
ls=":",
color='red',
markersize=8,
marker="o")
plt.show()
def test_popov_SN1999em_emcee(self):
n = 100
start, end = 0.1, 200.
jd_shift = 20.
dm = -29.38 # D = 7.5e6 pc
# dm = -30.4 # D = 12.e6 pc
time = np.exp(np.linspace(np.log(start), np.log(end), n))
popov = Popov('test', R=450., M=15., Mni=0.04, E=0.7)
lc_m = popov.LCBol(time)
# ax = popov.plot_Lbol(time)
# sn1999em.plot_ubv(ax, path=sn1999em.sn_path, jd_shift=jd_shift, mshift=dm)
# plt.show()
curves_o = sn1999em.read_curves()
lc_o = curves_o.get('V')
lc_o.mshift = dm
print("Run: find tshift with bayesian: obs band %s with %s ..." %
(lc_o.Band.Name, popov))
fitter = FitMCMC()
fitter.is_debug = True
res = fitter.fit_lc(lc_o, lc_m)
tshift, tsigma = res.tshift, res.tsigma
print("Result: tshift= %s tsigma= %s ..." % (tshift, tsigma))
ax = popov.plot_Lbol(time)
lcp.lc_plot(lc_m, ax)
lcp.lc_plot(lc_o, ax, is_line=False)
# sn1999em.plot_ubv(ax, path=sn1999em.sn_path, jd_shift=-tshift, mshift=dm)
plt.show()
def test_plot_lc(self):
n = 100
start, end = 0.1, 200.
time = np.exp(np.linspace(np.log(start), np.log(end), n))
popov = Popov('test', R=400., M=15., Mni=0.04, E=1.)
popov.plot_Lbol(time)
plt.show()
def test_plot_lc(self):
n = 100
start, end = 0.1, 200.
time = np.exp(np.linspace(np.log(start), np.log(end), n))
popov = Popov('test', R=400., M=15., Mni=0.04, E=1.)
popov.plot_Lbol(time)
plt.show()
def test_popov_SN87A(self):
n = 100
start, end = 0.1, 1200.
jd_shift = -2446850. # moment of explosion SN 1987A, Hamuy 1988, doi:10.1086/114613
dm = -18.6 # D = 7.5e6 pc
time = np.exp(np.linspace(np.log(start), np.log(end), n))
popov = Popov('test', R=50., M=15., Mni=0.07, E=1.)
ax = popov.plot_Lbol(time)
sn87a.plot_ubv(ax, path=sn87a.sn_path, jd_shift=jd_shift, mshift=dm)
plt.show()
def test_popov_rednova(self):
n = 100
start, end = 0.1, 90.
jd_shift = 10.
dm = 24.38 # D = 7.5e5 pc
# dm = -30.4 # D = 12.e6 pc
time = np.exp(np.linspace(np.log(start), np.log(end), n))
popov = Popov('test', R=35., M=6., Mni=0., E=0.008)
ax = popov.plot_Lbol(time)
rednova.plot_ubv(ax, path=rednova.sn_path, jd_shift=jd_shift, mshift=-dm)
plt.show()
def test_popov_SN1999em(self):
n = 100
start, end = 0.1, 200.
jd_shift = 20.
dm = -29.38 # D = 7.5e6 pc
# dm = -30.4 # D = 12.e6 pc
time = np.exp(np.linspace(np.log(start), np.log(end), n))
popov = Popov('test', R=450., M=15., Mni=0.04, E=0.7)
ax = popov.plot_Lbol(time)
sn1999em.plot_ubv(ax, path=sn1999em.sn_path, jd_shift=jd_shift, mshift=dm)
plt.show()
def test_popov_SN87A(self):
n = 100
start, end = 0.1, 1200.
jd_shift = -2446850. # moment of explosion SN 1987A, Hamuy 1988, doi:10.1086/114613
dm = -18.6 # D = 7.5e6 pc
time = np.exp(np.linspace(np.log(start), np.log(end), n))
popov = Popov('test', R=50., M=15., Mni=0.07, E=1.)
ax = popov.plot_Lbol(time)
sn87a.plot_ubv(ax, path=sn87a.sn_path, jd_shift=jd_shift, mshift=dm)
plt.show()
def leastsq(p, fjac):
mdl = Popov('test', R=p[0], M=p[1], Mni=p[2], E=p[3])
l_dt = p[4]
t = time + l_dt
m = mdl.MagBol(t)
res = (lc.Mag - m)**2 / m
w = np.exp(-(max(abs(lc.Mag)) - abs(lc.Mag)) * 2) # weight
w = 1.
# w = w / max(w)
if lc.IsErr:
res = res * w / lc.Err
return 0, res
def test_popov_rednova(self):
n = 100
start, end = 0.1, 90.
jd_shift = -2500000 + 42963.
dm = -24.38 # D = 7.5e5 pc
# dm = -30.4 # D = 12.e6 pc
time = np.exp(np.linspace(np.log(start), np.log(end), n))
popov = Popov('test', R=35., M=1., Mni=0., E=0.002)
ax = popov.plot_Lbol(time)
rednova.plot_ubv(ax,
path=rednova.sn_path,
jd_shift=jd_shift,
mshift=dm)
plt.show()
def test_popov_SN1999em(self):
n = 100
start, end = 0.1, 200.
jd_shift = 20.
dm = -29.38 # D = 7.5e6 pc
# dm = -30.4 # D = 12.e6 pc
time = np.exp(np.linspace(np.log(start), np.log(end), n))
popov = Popov('test', R=450., M=15., Mni=0.04, E=0.7)
ax = popov.plot_Lbol(time)
sn1999em.plot_ubv(ax,
path=sn1999em.sn_path,
jd_shift=jd_shift,
mshift=dm)
plt.show()
def plot(ax, dic=None):
arg = []
if dic is not None and 'args' in dic:
arg = dic['args']
r_init = 450. # M_sun
m_tot = 15. # M_sun
m_ni = 0.07 # M_sun
e_tot = 0.7 # FOE
if len(arg) > 0:
r_init = float(arg.pop(0))
if len(arg) > 0:
m_tot = float(arg.pop(0))
if len(arg) > 0:
e_tot = float(arg.pop(0))
if len(arg) > 0:
m_ni = float(arg.pop(0))
n = 100
start, end = map(lambda x: max(x, 0.1), ax.get_xlim())
time = np.exp(np.linspace(np.log(start), np.log(end), n))
ppv = Popov('plugin', R=r_init, M=m_tot, Mni=m_ni, E=e_tot)
mags = ppv.MagBol(time)
mags_ni = Lum2MagBol(ppv.e_rate_ni(time))
lbl = 'R M E Mni: %4.1f %2.1f %2.1f %3.2f' % (r_init, m_tot, e_tot, m_ni)
print("Plot Popov model: %s " % lbl)
times = {
'Diffusion time [d]': ppv.t_d,
'Expansion time [d]': ppv.t_e,
'T surf > Tion [d]': ppv.t_i,
'Max bol time [d]': ppv.t_max,
'Plateau duration time [d]': ppv.t_p
}
for k, v in times.items():
print(" %25s: %8.2f " % (k, v / phys.d2s))
ax.plot(time, mags, color='blue', ls='-.', label=lbl, lw=2.5)
ax.plot(time, mags_ni, color='red', ls='-.', label='Ni56 & Co56', lw=2.)
def test_fit_time_popov_SN1999em(self):
jd_shift = 20.
dm = -29.38 # D = 7.5e6 pc
# dm = -30.4 # D = 12.e6 pc
curves = sn1999em.read_curves()
lc = curves.get('V')
lc.mshift = dm
time = lc.Time - lc.tmin
# time = np.exp(np.linspace(np.log(start), np.log(end), n))
popov = Popov('test', R=450., M=15., Mni=0.04, E=0.7)
mags = popov.MagBol(time)
# fit
tshift = myfit(mags, lc)
# plot
ax = popov.plot_Lbol(time)
x = lc.Time + tshift
# x = lc.Time + jd_shift + res
y = lc.Mag
ax.plot(x, y, label='%s SN 1999em' % lc.Band.Name,
ls=".", color='red', markersize=8, marker="o")
plt.show()
def popov_fit(lc,
R0,
M0,
Mni0=None,
E0=None,
dt0=None,
is_verbose=True,
xtol=1e-10,
ftol=1e-10,
gtol=1e-10):
if is_verbose:
quiet = 0
else:
quiet = 1
time = lc.Time
def leastsq(p, fjac):
mdl = Popov('test', R=p[0], M=p[1], Mni=p[2], E=p[3])
l_dt = p[4]
t = time + l_dt
m = mdl.MagBol(t)
res = (lc.Mag - m)**2 / m
w = np.exp(-(max(abs(lc.Mag)) - abs(lc.Mag)) * 2) # weight
w = 1.
# w = w / max(w)
if lc.IsErr:
res = res * w / lc.Err
return 0, res
parinfo = [
{
'value': R0,
'limited': [1, 1],
'limits': [10., 1500e0]
}, {
'value': M0,
'limited': [1, 1],
'limits': [1., 150.]
}
# {'value': Mni0, 'limited': [1, 1], 'limits': [0.0000001, 0.00001]},
# , {'value': E0, 'limited': [1, 1], 'limits': [0.01, 5.]}
# , {'value': dt0, 'limited': [1, 1], 'limits': [-200., 250.]}
]
if Mni0 is not None:
parinfo.append({'value': Mni0, 'limited': [1, 1], 'limits': [0., 15.]})
else:
parinfo.append({'value': 0.01, 'fixed': 1})
if E0 is not None:
parinfo.append({'value': E0, 'limited': [1, 1], 'limits': [0.01, 5.]})
else:
parinfo.append({'value': 1., 'fixed': 1})
if dt0 is not None:
parinfo.append({
'value': dt0,
'limited': [1, 1],
'limits': [-200., 250.]
})
else:
parinfo.append({'value': 0., 'fixed': 1})
result = ps.mpfit.mpfit(leastsq,
parinfo=parinfo,
quiet=quiet,
maxiter=200,
ftol=ftol,
gtol=gtol,
xtol=xtol)
if result.status == 5:
print('Maximum number of iterations exceeded in mangle_spectrum')
ppv = Popov('test',
R=result.params[0],
M=result.params[1],
Mni=result.params[2],
E=result.params[3])
tshift = result.params[4]
if is_verbose:
print("The final params are: R=%f M=%f Mni=%f E=%f; dt = %f " %
(result.params[0], result.params[1], result.params[2],
result.params[3], tshift))
return ppv, tshift