def setup_particle_mass_field(self, ptype):
name = "particle_mass"
if ptype in self.ds.particle_unions:
add_union_field(self, ptype, name, "code_mass")
return
constants = nested_dict_get(self.ds.parameters,
("Particle", ptype, "constants"),
default=[])
if not constants:
names = []
else:
if not isinstance(constants[0], tuple):
constants = (constants, )
names = [c[0] for c in constants]
if "mass" in names:
val = constants[names.index("mass")][2]
val = self.ds.quan(val, self.ds.mass_unit)
if self.ds.cosmological_simulation:
val = val / self.ds.domain_dimensions.prod()
def _pmass(field, data):
return val * data[ptype, "particle_ones"]
self.add_field(
(ptype, name),
function=_pmass,
units="code_mass",
sampling_type="particle",
)
def setup_particle_mass_field(self, ptype):
fname = "particle_mass"
if ptype in self.ds.particle_unions:
add_union_field(self, ptype, fname, "code_mass")
return
pdict = self.ds.parameters.get("Particle", None)
if pdict is None:
return
constants = nested_dict_get(pdict, (ptype, "constants"), default=())
if not constants:
return
# constants should be a tuple consisting of multiple tuples of (name, type, value).
# When there is only one entry, the enclosing tuple gets stripped, so we put it back.
if not isinstance(constants[0], tuple):
constants = (constants,)
names = [c[0] for c in constants]
if "mass" not in names:
return
val = constants[names.index("mass")][2] * self.ds.mass_unit
if not self.ds.index.io._particle_mass_is_mass:
val = val * get_particle_mass_correction(self.ds)
def _pmass(field, data):
return val * data[ptype, "particle_ones"]
self.add_field(
(ptype, fname),
function=_pmass,
units="code_mass",
sampling_type="particle",
)
