Using `tstart` and `tend` arguments in `snowglobes.generate_fluence` doesn't work
Closed this issue · 1 comments
Sheshuk commented
I want to generate fluence in interval [0,1]s.
When I try to execute the following code (passing time without units):
t0 = np.array([0])
t1 = np.array([1])
path = snowglobes.generate_fluence('models/Bollig_2016/s27.0c', 'Bollig_2016', 'NoTransformation', d=10,tstart=t0, tend=t1)
I get
UnitConversionError: Can only apply 'greater_equal' function to dimensionless quantities when other argument is not a quantity (unless the latter is all zero/infinity/nan)
If I pass the time with units:
t0 = np.array([0]) <<u.s
t1 = np.array([1]) <<u.s
path = snowglobes.generate_fluence('models/Bollig_2016/s27.0c', 'Bollig_2016', 'NoTransformation', d=10,tstart=t0, tend=t1)
I get
TypeError: unsupported format string passed to numpy.ndarray.__format__
when it tries to produce the label for the time bin in the output text file.
So ATM there arguments are unusable
Sheshuk commented
My bad, I should have used scalar values instead of arrays:
snowglobes.generate_fluence('models/Bollig_2016/s27.0c', 'Bollig_2016', 'NoTransformation', d=10,tstart=0<<u.s, tend=1<<u.s)
then it works. Sorry, closing this issue