Error in supernova_mixing
Opened this issue · 2 comments
xinyuewu21 commented
In cells In[5], In[6], In[7], and In[11] of the notebook supernova-mixing, a unit conversion error appears. Running at git hash ec1024d.
The code of In[5] is:
fig1, ax = plt.subplots(1,1, figsize=(7,5))
t = np.linspace(-0.1, 1, 201) * u.s
nu_list = []
i = 0
for flavor in Flavor:
flux = ccsn.get_flux(t, flavor)
nu_list.append(flux)
nu_e = [a + b for a, b in zip(nu_list[2], nu_list[3])]
nu_x = [(a + b + c)/2 for a, b, c in zip(nu_list[0], nu_list[2], nu_list[3])]
nu_e_bar = [a*c2t12 + (b + c)*s2t12 for a, b, c in zip(nu_list[1], nu_list[2], nu_list[3])]
nu_x_bar = [((1.0-c2t12)*a + (1.0+c2t12)*(b + c))/2 for a, b, c in zip(nu_list[1], nu_list[2], nu_list[3])]
nu_new = [nu_e, nu_e_bar, nu_x, nu_x_bar]
for ls, i, flavor in zip(["-", "--", "-.", ":"], range(len(nu_new)), Flavor):
new_flux = nu_new[i]
ax.plot(t, new_flux, ls, lw=2, alpha=0.7, label=flavor.to_tex()),
# plt.yscale('log')
# plt.ylim(3e51, 5e53)
ax.set(xlabel='time - $t_{bounce}$ [s]',
ylabel='flux')
ax.legend()
fig1.tight_layout()The error is:
---------------------------------------------------------------------------
UnitConversionError Traceback (most recent call last)
/opt/anaconda3/lib/python3.8/site-packages/astropy/units/quantity.py in to_value(self, unit, equivalencies)
739 try:
--> 740 scale = self.unit._to(unit)
741 except Exception:
/opt/anaconda3/lib/python3.8/site-packages/astropy/units/core.py in _to(self, other)
949
--> 950 raise UnitConversionError(
951 f"'{self!r}' is not a scaled version of '{other!r}'")
UnitConversionError: 'Unit("1 / s")' is not a scaled version of 'Unit(dimensionless)'
During handling of the above exception, another exception occurred:
UnitConversionError Traceback (most recent call last)
/opt/anaconda3/lib/python3.8/site-packages/astropy/units/quantity.py in __float__(self)
1085 try:
-> 1086 return float(self.to_value(dimensionless_unscaled))
1087 except (UnitsError, TypeError):
/opt/anaconda3/lib/python3.8/site-packages/astropy/units/quantity.py in to_value(self, unit, equivalencies)
742 # Short-cut failed; try default (maybe equivalencies help).
--> 743 value = self._to_value(unit, equivalencies)
744 else:
/opt/anaconda3/lib/python3.8/site-packages/astropy/units/quantity.py in _to_value(self, unit, equivalencies)
661 equivalencies = self._equivalencies
--> 662 return self.unit.to(unit, self.view(np.ndarray),
663 equivalencies=equivalencies)
/opt/anaconda3/lib/python3.8/site-packages/astropy/units/core.py in to(self, other, value, equivalencies)
986 else:
--> 987 return self._get_converter(other, equivalencies=equivalencies)(value)
988
/opt/anaconda3/lib/python3.8/site-packages/astropy/units/core.py in _get_converter(self, other, equivalencies)
917
--> 918 raise exc
919
/opt/anaconda3/lib/python3.8/site-packages/astropy/units/core.py in _get_converter(self, other, equivalencies)
902 try:
--> 903 return self._apply_equivalencies(
904 self, other, self._normalize_equivalencies(equivalencies))
/opt/anaconda3/lib/python3.8/site-packages/astropy/units/core.py in _apply_equivalencies(self, unit, other, equivalencies)
885
--> 886 raise UnitConversionError(
887 "{} and {} are not convertible".format(
UnitConversionError: '1 / s' (frequency) and '' (dimensionless) are not convertible
During handling of the above exception, another exception occurred:
TypeError Traceback (most recent call last)
<ipython-input-5-f40ec5842608> in <module>
16 for ls, i, flavor in zip(["-", "--", "-.", ":"], range(len(nu_new)), Flavor):
17 new_flux = nu_new[i]
---> 18 ax.plot(t, new_flux, ls, lw=2, alpha=0.7, label=flavor.to_tex()),
19
20 # plt.yscale('log')
/opt/anaconda3/lib/python3.8/site-packages/matplotlib/axes/_axes.py in plot(self, scalex, scaley, data, *args, **kwargs)
1741 """
1742 kwargs = cbook.normalize_kwargs(kwargs, mlines.Line2D)
-> 1743 lines = [*self._get_lines(*args, data=data, **kwargs)]
1744 for line in lines:
1745 self.add_line(line)
/opt/anaconda3/lib/python3.8/site-packages/matplotlib/axes/_base.py in __call__(self, data, *args, **kwargs)
271 this += args[0],
272 args = args[1:]
--> 273 yield from self._plot_args(this, kwargs)
274
275 def get_next_color(self):
/opt/anaconda3/lib/python3.8/site-packages/matplotlib/axes/_base.py in _plot_args(self, tup, kwargs)
387 if len(tup) == 2:
388 x = _check_1d(tup[0])
--> 389 y = _check_1d(tup[-1])
390 else:
391 x, y = index_of(tup[-1])
/opt/anaconda3/lib/python3.8/site-packages/matplotlib/cbook/__init__.py in _check_1d(x)
1293 """Convert scalars to 1d arrays; pass-through arrays as is."""
1294 if not hasattr(x, 'shape') or len(x.shape) < 1:
-> 1295 return np.atleast_1d(x)
1296 else:
1297 try:
<__array_function__ internals> in atleast_1d(*args, **kwargs)
/opt/anaconda3/lib/python3.8/site-packages/numpy/core/shape_base.py in atleast_1d(*arys)
64 res = []
65 for ary in arys:
---> 66 ary = asanyarray(ary)
67 if ary.ndim == 0:
68 result = ary.reshape(1)
/opt/anaconda3/lib/python3.8/site-packages/numpy/core/_asarray.py in asanyarray(a, dtype, order, like)
169 return _asanyarray_with_like(a, dtype=dtype, order=order, like=like)
170
--> 171 return array(a, dtype, copy=False, order=order, subok=True)
172
173
/opt/anaconda3/lib/python3.8/site-packages/astropy/units/quantity.py in __float__(self)
1086 return float(self.to_value(dimensionless_unscaled))
1087 except (UnitsError, TypeError):
-> 1088 raise TypeError('only dimensionless scalar quantities can be '
1089 'converted to Python scalars')
1090
TypeError: only dimensionless scalar quantities can be converted to Python scalarsAnother error appears in In[10], which seems can be traced back to In[7].
The code of In[10] is:
fig1, ax = plt.subplots(1, 1, figsize=(15,5), sharex = True, sharey = True)
t = np.linspace(-0.1, 4, 201) * u.s
s2t12_val = np.random.normal(loc = s2t12, scale = s2t12_er, size = 1000)
c2t12_val = 1 - s2t12_val
nu_e2_er = [a*s2t12_val + (b + c)*c2t12_val for a, b, c in zip(nu_list2[0], nu_list2[2], nu_list2[3])]
std_e, mean_e, sig1_lo_e, sig1_hi_e, sig2_lo_e, sig2_hi_e, sig3_lo_e, sig3_hi_e = errors(nu_e2_er)
ax.fill_between(t, sig1_lo_e, sig1_hi_e, color='g', alpha=0.3, label = r'$1\sigma_{e}$')
ax.fill_between(t, sig2_lo_e, sig2_hi_e, color = 'g', alpha = 0.2, label = '$2\sigma_e$')
ax.fill_between(t, sig3_lo_e, sig3_hi_e, color='g', alpha = 0.1, label = '$3\sigma_e$')
ax.plot(t, mean_e, 'darkgreen', label=r'Mean $\nu_e$')
nu_x2_er = [((1.0-s2t12_val)*a + (1.0+s2t12_val)*(b+c))/2 for a, b, c in zip(nu_list2[0], nu_list2[2], nu_list2[3])]
std_x, mean_x, sig1_lo_x, sig1_hi_x, sig2_lo_x, sig2_hi_x, sig3_lo_x, sig3_hi_x = errors(nu_x2_er)
ax.fill_between(t, sig1_lo_x, sig1_hi_x, color='orange', alpha=0.3, label=r'$1\sigma_x$')
ax.fill_between(t, sig2_lo_x, sig2_hi_x, color = 'orange', alpha = 0.2, label = r'$2\sigma_x$')
ax.fill_between(t, sig3_lo_x, sig3_hi_x, color='orange', alpha = 0.1, label = r'$3\sigma_x$')
ax.plot(t, mean_x, 'r', label=r'Mean $\nu_x$')
ax.set(xlabel='time - $t_{bounce}$ [s]',
xlim = (0.25, 0.4),
ylabel='flux',#, yscale ='log',
ylim=(1.5e55, 3.4e55),
title = r'$\theta_{12}$ dependent flavor oscillations: Inverted Mixing')
ax.legend()
fig.tight_layout()The error is:
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
<ipython-input-10-c62ff99f4e7e> in <module>
5 c2t12_val = 1 - s2t12_val
6
----> 7 nu_e2_er = [a*s2t12_val + (b + c)*c2t12_val for a, b, c in zip(nu_list2[0], nu_list2[2], nu_list2[3])]
8 std_e, mean_e, sig1_lo_e, sig1_hi_e, sig2_lo_e, sig2_hi_e, sig3_lo_e, sig3_hi_e = errors(nu_e2_er)
9
NameError: name 'nu_list2' is not definedsybenzvi commented
Is this using the ASTERIA source module or is the error occurring after the switch to the SNEWPY models?
sgriswol commented
It's hard to say what the exact source of the error is without digging in, it appears to be a mix of issues. This was run using the old ASTERIA source module. I'm planning to test the doc notebooks against the new version before I merge with main.