Hello!
I want to create 3D field within a spherical object. For example, I create 3D electron density in the following manner:
ds = yt.load("DATA")
dd = ds.all_data()
max_level = ds.index.max_level
ref = 2**max_level
low = ds.domain_left_edge
dims = ds.domain_dimensions*ref
nx, ny, nz = dims
L = (ds.domain_right_edge - ds.domain_left_edge).d
all_data_level_max = ds.covering_grid(level=max_level,left_edge=low,dims=dims)
def _elec_den(field,data):
N_A = 1/1.6726219e-24
X = 0.70
return ((all_data_level_max['gas','density'])*N_A*(1+X)/2/ds.quan(1,'g') )
ds.add_field(('gas','elec_den'), function=_elec_den, units='auto', dimensions=dimensions.number_density)
Then if I do:
dd['elec_den']
it will give me a 3D field which will have the same dimensions as the root grid of the dataset. However, if I create spheres and then a spherical object between these two spheres:
rvir = 4.2454307068129566e+24 #virial radius of a halo [cm].
xyz = [0.4208984375, 0.2216796875, 0.5185546875] #centre of a halo.
sph1 = ds.sphere(xyz, (2*rvir, 'cm'))
sph2 = ds.sphere(xyz, (4*rvir, 'cm'))
cutout_obj = sph2 - sph1
cutout_obj['elec_den'] or sph1['elec_den'] and sph2['elec_den'] will have the same dimensions as dd['elec_den'] ; but this cannot be true since sph1 and sph2 include less grid points.
Is there a way I can create 3D field and use it within a different yt objects?
Thanks,
Salome
