def __init__(self, ds=0, *args, **kwargs):
self._args = args
self._kwargs = kwargs
self._ds = 0
self._dm = 0
self.units = dict(mass='Msun',
length='kpccm',
velocity='km/s',
time='yr',
temperature='K')
# check for unit overrides
for k, v in six.iteritems(kwargs):
if k.lower() in self.units:
self.units[k.lower()] = v
self.global_particle_lists = ParticleListContainer(self)
self.simulation = SimulationAttributes()
self.yt_dataset = ds
self.nhalos = 0
self.ngalaxies = 0
self.nclouds = 0
self.halos = []
self.galaxies = []
self.group_types = []
self.reset_default_returns()
def __init__(self, filename, skip_hash_check=False):
self._ds = None
self.data_file = os.path.abspath(filename)
self.skip_hash_check = skip_hash_check
self._halo_dmlist = LazyDataset(self, 'halo_data/lists/dmlist')
self._halo_slist = LazyDataset(self, 'halo_data/lists/slist')
self._halo_glist = LazyDataset(self, 'halo_data/lists/glist')
self._halo_bhlist = LazyDataset(self, 'halo_data/lists/bhlist')
self._halo_dlist = LazyDataset(self, 'halo_data/lists/dlist')
self._galaxy_slist = LazyDataset(self, 'galaxy_data/lists/slist')
self._galaxy_glist = LazyDataset(self, 'galaxy_data/lists/glist')
self._galaxy_bhlist = LazyDataset(self, 'galaxy_data/lists/bhlist')
self._galaxy_dlist = LazyDataset(self, 'galaxy_data/lists/dlist')
self._cloud_glist = LazyDataset(self, 'cloud_data/lists/glist')
self._cloud_dlist = LazyDataset(self, 'cloud_data/lists/dlist')
with h5py.File(filename, 'r') as hd:
mylog.info('Opening {}'.format(filename))
if 'hash' in hd.attrs:
self.hash = hd.attrs['hash']
else:
self.hash = None
if isinstance(self.hash, np.bytes_):
self.hash = self.hash.decode('utf8')
# This should probably be caesar_version or something
self.caesar = hd.attrs['caesar']
self.unit_registry = UnitRegistry.from_json(
hd.attrs['unit_registry_json'])
# Load the information about the simulation itself
self.simulation = SimulationAttributes()
self.simulation._unpack(self, hd)
# Halo data is loaded unconditionally, AFAICT it's always present
self._galaxy_index_list = None
if 'halo_data/lists/galaxy_index_list' in hd:
self._galaxy_index_list = LazyDataset(
self, 'halo_data/lists/galaxy_index_list')
self._halo_data = {}
for k, v in hd['halo_data'].items():
if type(v) is h5py.Dataset:
self._halo_data[k] = LazyDataset(self, 'halo_data/' + k)
self._halo_dicts = defaultdict(dict)
for k in hd['halo_data/dicts']:
dictname, arrname = k.split('.')
self._halo_dicts[dictname][arrname] = LazyDataset(
self, 'halo_data/dicts/' + k)
if 'tree_data/progen_halo_dm' in hd:
self._halo_data[
'progen_halo_dm'] = self._progen_halo_dm = LazyDataset(
self, 'tree_data/progen_halo_dm')
if 'tree_data/descend_halo_dm' in hd:
self._halo_data[
'descend_halo_dm'] = self._descend_halo_dm = LazyDataset(
self, 'tree_data/descend_halo_dm')
self.nhalos = hd.attrs['nhalos']
self.halos = LazyList(self.nhalos, lambda i: Halo(self, i))
mylog.info('Found {} halos'.format(len(self.halos)))
# Provide default values for everything, so that if a simulation
# without galaxies is loaded we get zero galaxies, not AttributeErrors
self._galaxy_data = {}
self._galaxy_dicts = defaultdict(dict)
self.ngalaxies = 0
self.galaxies = LazyList(self.ngalaxies, lambda i: Galaxy(self, i))
if 'galaxy_data' in hd:
self._cloud_index_list = None
if 'galaxy_data/lists/cloud_index_list' in hd:
self._cloud_index_list = LazyDataset(
self, 'galaxy_data/lists/cloud_index_list')
if 'tree_data/progen_galaxy_star' in hd:
self._galaxy_data[
'progen_galaxy_star'] = self._progen_galaxy_star = LazyDataset(
self, 'tree_data/progen_galaxy_star')
if 'tree_data/descend_galaxy_star' in hd:
self._galaxy_data[
'descend_galaxy_star'] = self._descend_galaxy_star = LazyDataset(
self, 'tree_data/descend_galaxy_star')
for k, v in hd['galaxy_data'].items():
if type(v) is h5py.Dataset:
self._galaxy_data[k] = LazyDataset(
self, 'galaxy_data/' + k)
for k in hd['galaxy_data/dicts']:
dictname, arrname = k.split('.')
self._galaxy_dicts[dictname][arrname] = LazyDataset(
self, 'galaxy_data/dicts/' + k)
self.ngalaxies = hd.attrs['ngalaxies']
self.galaxies = LazyList(self.ngalaxies,
lambda i: Galaxy(self, i))
mylog.info('Found {} galaxies'.format(len(self.galaxies)))
self._cloud_data = {}
self._cloud_dicts = defaultdict(dict)
self.nclouds = 0
self.clouds = LazyList(self.nclouds, lambda i: Cloud(self, i))
if 'cloud_data' in hd:
for k, v in hd['cloud_data'].items():
if type(v) is h5py.Dataset:
self._cloud_data[k] = LazyDataset(
self, 'cloud_data/' + k)
for k in hd['cloud_data/dicts']:
dictname, arrname = k.split('.')
self._cloud_dicts[dictname][arrname] = LazyDataset(
self, 'cloud_data/dicts/' + k)
if 'tree_data/progen_cloud_gas' in hd:
self._cloud_data[
'progen_cloud_gas'] = self._progen_cloud_gas = LazyDataset(
self, 'tree_data/progen_cloud_gas')
if 'tree_data/descend_cloud_gas' in hd:
self._cloud_data[
'descend_cloud_gas'] = self._descend_cloud_gas = LazyDataset(
self, 'tree_data/descend_cloud_gas')
self.nclouds = hd.attrs['nclouds']
self.clouds = LazyList(self.nclouds, lambda i: Cloud(self, i))
mylog.info('Found {} clouds'.format(len(self.clouds)))
class CAESAR:
def __init__(self, filename, skip_hash_check=False):
self._ds = None
self.data_file = os.path.abspath(filename)
self.skip_hash_check = skip_hash_check
self._halo_dmlist = LazyDataset(self, 'halo_data/lists/dmlist')
self._halo_slist = LazyDataset(self, 'halo_data/lists/slist')
self._halo_glist = LazyDataset(self, 'halo_data/lists/glist')
self._halo_bhlist = LazyDataset(self, 'halo_data/lists/bhlist')
self._halo_dlist = LazyDataset(self, 'halo_data/lists/dlist')
self._galaxy_slist = LazyDataset(self, 'galaxy_data/lists/slist')
self._galaxy_glist = LazyDataset(self, 'galaxy_data/lists/glist')
self._galaxy_bhlist = LazyDataset(self, 'galaxy_data/lists/bhlist')
self._galaxy_dlist = LazyDataset(self, 'galaxy_data/lists/dlist')
self._cloud_glist = LazyDataset(self, 'cloud_data/lists/glist')
self._cloud_dlist = LazyDataset(self, 'cloud_data/lists/dlist')
with h5py.File(filename, 'r') as hd:
mylog.info('Opening {}'.format(filename))
if 'hash' in hd.attrs:
self.hash = hd.attrs['hash']
else:
self.hash = None
if isinstance(self.hash, np.bytes_):
self.hash = self.hash.decode('utf8')
# This should probably be caesar_version or something
self.caesar = hd.attrs['caesar']
self.unit_registry = UnitRegistry.from_json(
hd.attrs['unit_registry_json'])
# Load the information about the simulation itself
self.simulation = SimulationAttributes()
self.simulation._unpack(self, hd)
# Halo data is loaded unconditionally, AFAICT it's always present
self._galaxy_index_list = None
if 'halo_data/lists/galaxy_index_list' in hd:
self._galaxy_index_list = LazyDataset(
self, 'halo_data/lists/galaxy_index_list')
self._halo_data = {}
for k, v in hd['halo_data'].items():
if type(v) is h5py.Dataset:
self._halo_data[k] = LazyDataset(self, 'halo_data/' + k)
self._halo_dicts = defaultdict(dict)
for k in hd['halo_data/dicts']:
dictname, arrname = k.split('.')
self._halo_dicts[dictname][arrname] = LazyDataset(
self, 'halo_data/dicts/' + k)
if 'tree_data/progen_halo_dm' in hd:
self._halo_data[
'progen_halo_dm'] = self._progen_halo_dm = LazyDataset(
self, 'tree_data/progen_halo_dm')
if 'tree_data/descend_halo_dm' in hd:
self._halo_data[
'descend_halo_dm'] = self._descend_halo_dm = LazyDataset(
self, 'tree_data/descend_halo_dm')
self.nhalos = hd.attrs['nhalos']
self.halos = LazyList(self.nhalos, lambda i: Halo(self, i))
mylog.info('Found {} halos'.format(len(self.halos)))
# Provide default values for everything, so that if a simulation
# without galaxies is loaded we get zero galaxies, not AttributeErrors
self._galaxy_data = {}
self._galaxy_dicts = defaultdict(dict)
self.ngalaxies = 0
self.galaxies = LazyList(self.ngalaxies, lambda i: Galaxy(self, i))
if 'galaxy_data' in hd:
self._cloud_index_list = None
if 'galaxy_data/lists/cloud_index_list' in hd:
self._cloud_index_list = LazyDataset(
self, 'galaxy_data/lists/cloud_index_list')
if 'tree_data/progen_galaxy_star' in hd:
self._galaxy_data[
'progen_galaxy_star'] = self._progen_galaxy_star = LazyDataset(
self, 'tree_data/progen_galaxy_star')
if 'tree_data/descend_galaxy_star' in hd:
self._galaxy_data[
'descend_galaxy_star'] = self._descend_galaxy_star = LazyDataset(
self, 'tree_data/descend_galaxy_star')
for k, v in hd['galaxy_data'].items():
if type(v) is h5py.Dataset:
self._galaxy_data[k] = LazyDataset(
self, 'galaxy_data/' + k)
for k in hd['galaxy_data/dicts']:
dictname, arrname = k.split('.')
self._galaxy_dicts[dictname][arrname] = LazyDataset(
self, 'galaxy_data/dicts/' + k)
self.ngalaxies = hd.attrs['ngalaxies']
self.galaxies = LazyList(self.ngalaxies,
lambda i: Galaxy(self, i))
mylog.info('Found {} galaxies'.format(len(self.galaxies)))
self._cloud_data = {}
self._cloud_dicts = defaultdict(dict)
self.nclouds = 0
self.clouds = LazyList(self.nclouds, lambda i: Cloud(self, i))
if 'cloud_data' in hd:
for k, v in hd['cloud_data'].items():
if type(v) is h5py.Dataset:
self._cloud_data[k] = LazyDataset(
self, 'cloud_data/' + k)
for k in hd['cloud_data/dicts']:
dictname, arrname = k.split('.')
self._cloud_dicts[dictname][arrname] = LazyDataset(
self, 'cloud_data/dicts/' + k)
if 'tree_data/progen_cloud_gas' in hd:
self._cloud_data[
'progen_cloud_gas'] = self._progen_cloud_gas = LazyDataset(
self, 'tree_data/progen_cloud_gas')
if 'tree_data/descend_cloud_gas' in hd:
self._cloud_data[
'descend_cloud_gas'] = self._descend_cloud_gas = LazyDataset(
self, 'tree_data/descend_cloud_gas')
self.nclouds = hd.attrs['nclouds']
self.clouds = LazyList(self.nclouds, lambda i: Cloud(self, i))
mylog.info('Found {} clouds'.format(len(self.clouds)))
@property
def yt_dataset(self):
"""The yt dataset to perform actions on."""
if self._ds is None:
raise Exception('No yt_dataset assigned!\nPlease assign '
'one via `obj.yt_dataset=<YT DATASET>` '
'to load particle/field data from disk.')
return self._ds
@yt_dataset.setter
def yt_dataset(self, value):
if value is None:
return
if not hasattr(value, 'dataset_type'):
raise ValueError('not a yt dataset?')
#if 'skip_hash_check' in self._kwargs and self._kwargs['skip_hash_check']:
if (self.skip_hash_check) or (self.hash is None):
hash = self.hash
else:
hash = get_hash(os.path.join(value.fullpath, value.basename))
if hash != self.hash:
raise RuntimeError('hash mismatch!')
self._ds = value
self._ds_type = DatasetType(self._ds)
@property
def central_galaxies(self):
return [h.central_galaxy for h in self.halos]
@property
def satellite_galaxies(self):
galaxies = []
for h in self.halos:
galaxies.extend(h.satellite_galaxies)
def galinfo(self, top=10):
info_printer(self, 'galaxy', top)
def haloinfo(self, top=10):
info_printer(self, 'halo', top)
def cloudinfo(self, top=10):
info_printer(self, 'cloud', top)
def __init__(self, filename):
self._ds = None
self.data_file = os.path.abspath(filename)
self._halo_dmlist = LazyArray(self, 'halo_data/lists/dmlist')
self._halo_slist = LazyArray(self, 'halo_data/lists/slist')
self._halo_glist = LazyArray(self, 'halo_data/lists/glist')
self._halo_bhlist = LazyArray(self, 'halo_data/lists/bhlist')
self._halo_dlist = LazyArray(self, 'halo_data/lists/dlist')
self._galaxy_slist = LazyArray(self, 'galaxy_data/lists/slist')
self._galaxy_glist = LazyArray(self, 'galaxy_data/lists/glist')
self._galaxy_bhlist = LazyArray(self, 'galaxy_data/lists/bhlist')
self._galaxy_dlist = LazyArray(self, 'galaxy_data/lists/dlist')
self._cloud_glist = LazyArray(self, 'cloud_data/lists/glist')
self._cloud_dlist = LazyArray(self, 'cloud_data/lists/dlist')
with h5py.File(filename, 'r') as hd:
mylog.info('Reading {}'.format(filename))
self.hash = hd.attrs['hash']
self.caesar = hd.attrs['caesar']
self.unit_registry = UnitRegistry.from_json(
hd.attrs['unit_registry_json'].decode('utf8'))
# Load the information about the simulation itself
self.simulation = SimulationAttributes()
self.simulation._unpack(self, hd)
mylog.info('Loading halos')
self._galaxy_index_list = None
if 'halo_data/lists/galaxy_index_list' in hd:
self._galaxy_index_list = LazyArray(
self, 'halo_data/lists/galaxy_index_list')
self._halo_data = {}
for k, v in hd['halo_data'].items():
if type(v) is h5py.Dataset:
self._halo_data[k] = LazyArray(self, 'halo_data/' + k)
self._halo_dicts = defaultdict(dict)
for k in hd['halo_data/dicts']:
dictname, arrname = k.split('.')
self._halo_dicts[dictname][arrname] = LazyArray(
self, 'halo_data/dicts/' + k)
self.nhalos = hd.attrs['nhalos']
self.halos = LazyList(self.nhalos, lambda i: Halo(self, i))
mylog.info('Loaded {} halos'.format(len(self.halos)))
self._galaxy_data = {}
self._galaxy_dicts = defaultdict(dict)
self.ngalaxies = 0
self.galaxies = LazyList(self.ngalaxies, lambda i: Galaxy(self, i))
if 'galaxy_data' in hd:
mylog.info('Loading galaxies')
self._cloud_index_list = None
if 'galaxy_data/lists/cloud_index_list' in hd:
self._cloud_index_list = LazyArray(
self, 'galaxy_data/lists/cloud_index_list')
for k, v in hd['galaxy_data'].items():
if type(v) is h5py.Dataset:
self._galaxy_data[k] = LazyArray(
self, 'galaxy_data/' + k)
for k in hd['galaxy_data/dicts']:
dictname, arrname = k.split('.')
self._galaxy_dicts[dictname][arrname] = LazyArray(
self, 'galaxy_data/dicts/' + k)
self.ngalaxies = hd.attrs['ngalaxies']
self.galaxies = LazyList(self.ngalaxies,
lambda i: Galaxy(self, i))
mylog.info('Loaded {} galaxies'.format(len(self.galaxies)))
self._cloud_data = {}
self._cloud_dicts = defaultdict(dict)
self.nclouds = 0
self.clouds = LazyList(self.nclouds, lambda i: Cloud(self, i))
if 'cloud_data' in hd:
mylog.info('Loading clouds')
for k, v in hd['cloud_data'].items():
if type(v) is h5py.Dataset:
self._cloud_data[k] = LazyArray(
self, 'cloud_data/' + k)
for k in hd['cloud_data/dicts']:
dictname, arrname = k.split('.')
self._cloud_dicts[dictname][arrname] = LazyArray(
self, 'cloud_data/dicts/' + k)
self.nclouds = hd.attrs['nclouds']
self.clouds = LazyList(self.nclouds, lambda i: Cloud(self, i))
mylog.info('Loaded {} clouds'.format(len(self.clouds)))
class CAESAR:
def __init__(self, filename):
self._ds = None
self.data_file = os.path.abspath(filename)
self._halo_dmlist = LazyArray(self, 'halo_data/lists/dmlist')
self._halo_slist = LazyArray(self, 'halo_data/lists/slist')
self._halo_glist = LazyArray(self, 'halo_data/lists/glist')
self._halo_bhlist = LazyArray(self, 'halo_data/lists/bhlist')
self._halo_dlist = LazyArray(self, 'halo_data/lists/dlist')
self._galaxy_slist = LazyArray(self, 'galaxy_data/lists/slist')
self._galaxy_glist = LazyArray(self, 'galaxy_data/lists/glist')
self._galaxy_bhlist = LazyArray(self, 'galaxy_data/lists/bhlist')
self._galaxy_dlist = LazyArray(self, 'galaxy_data/lists/dlist')
self._cloud_glist = LazyArray(self, 'cloud_data/lists/glist')
self._cloud_dlist = LazyArray(self, 'cloud_data/lists/dlist')
with h5py.File(filename, 'r') as hd:
mylog.info('Reading {}'.format(filename))
self.hash = hd.attrs['hash']
self.caesar = hd.attrs['caesar']
self.unit_registry = UnitRegistry.from_json(
hd.attrs['unit_registry_json'].decode('utf8'))
# Load the information about the simulation itself
self.simulation = SimulationAttributes()
self.simulation._unpack(self, hd)
mylog.info('Loading halos')
self._galaxy_index_list = None
if 'halo_data/lists/galaxy_index_list' in hd:
self._galaxy_index_list = LazyArray(
self, 'halo_data/lists/galaxy_index_list')
self._halo_data = {}
for k, v in hd['halo_data'].items():
if type(v) is h5py.Dataset:
self._halo_data[k] = LazyArray(self, 'halo_data/' + k)
self._halo_dicts = defaultdict(dict)
for k in hd['halo_data/dicts']:
dictname, arrname = k.split('.')
self._halo_dicts[dictname][arrname] = LazyArray(
self, 'halo_data/dicts/' + k)
self.nhalos = hd.attrs['nhalos']
self.halos = LazyList(self.nhalos, lambda i: Halo(self, i))
mylog.info('Loaded {} halos'.format(len(self.halos)))
self._galaxy_data = {}
self._galaxy_dicts = defaultdict(dict)
self.ngalaxies = 0
self.galaxies = LazyList(self.ngalaxies, lambda i: Galaxy(self, i))
if 'galaxy_data' in hd:
mylog.info('Loading galaxies')
self._cloud_index_list = None
if 'galaxy_data/lists/cloud_index_list' in hd:
self._cloud_index_list = LazyArray(
self, 'galaxy_data/lists/cloud_index_list')
for k, v in hd['galaxy_data'].items():
if type(v) is h5py.Dataset:
self._galaxy_data[k] = LazyArray(
self, 'galaxy_data/' + k)
for k in hd['galaxy_data/dicts']:
dictname, arrname = k.split('.')
self._galaxy_dicts[dictname][arrname] = LazyArray(
self, 'galaxy_data/dicts/' + k)
self.ngalaxies = hd.attrs['ngalaxies']
self.galaxies = LazyList(self.ngalaxies,
lambda i: Galaxy(self, i))
mylog.info('Loaded {} galaxies'.format(len(self.galaxies)))
self._cloud_data = {}
self._cloud_dicts = defaultdict(dict)
self.nclouds = 0
self.clouds = LazyList(self.nclouds, lambda i: Cloud(self, i))
if 'cloud_data' in hd:
mylog.info('Loading clouds')
for k, v in hd['cloud_data'].items():
if type(v) is h5py.Dataset:
self._cloud_data[k] = LazyArray(
self, 'cloud_data/' + k)
for k in hd['cloud_data/dicts']:
dictname, arrname = k.split('.')
self._cloud_dicts[dictname][arrname] = LazyArray(
self, 'cloud_data/dicts/' + k)
self.nclouds = hd.attrs['nclouds']
self.clouds = LazyList(self.nclouds, lambda i: Cloud(self, i))
mylog.info('Loaded {} clouds'.format(len(self.clouds)))
@property
def yt_dataset(self):
"""The yt dataset to perform actions on."""
if self._ds is None:
raise Exception('No yt_dataset assigned!\nPlease assign '
'one via `obj.yt_dataset=<YT DATASET>` '
'to load particle/field data from disk.')
return self._ds
@yt_dataset.setter
def yt_dataset(self, value):
if value is None:
return
if not hasattr(value, 'dataset_type'):
raise IOError('not a yt dataset?')
infile = '%s/%s' % (value.fullpath, value.basename)
hash = get_hash(infile)
if hash != self.hash:
raise IOError('hash mismatch!')
else:
self._ds = value
self._ds = value
self._ds_type = DatasetType(self._ds)
@property
def central_galaxies(self):
return [h.central_galaxy for h in self.halos]
@property
def satellite_galaxies(self):
galaxies = []
for h in self.halos:
galaxies.extend(h.satellite_galaxies)
def galinfo(self, top=10):
info_printer(self, 'galaxy', top)
def haloinfo(self, top=10):
info_printer(self, 'halo', top)
def cloudinfo(self, top=10):
info_printer(self, 'cloud', top)
class CAESAR(object):
"""Master CAESAR class.
CAESAR objects contain all references to halos, galaxies, and
clouds for a single snapshot. Its output format is portable and
global object statistics can be examined without the raw
simulation file.
Parameters
----------
ds : yt dataset, optional
A dataset via ``ds = yt.load(snapshot)``
mass : str, optional
Mass unit to store data with. Defaults to 'Msun'.
length : str, optional
Length unit to store data with. Defaults to 'kpccm'.
velocity : str, optional
Velocity unit to store data with. Defaults to 'km/s'.
time : str, optional
Time unit to store data with. Defaults to 'yr'.
temperature : str, optional
Temperature unit to store data with. Defaults to 'K'.
Examples
--------
>>> import caesar
>>> obj = caesar.CAESAR()
"""
def __init__(self, ds=0, *args, **kwargs):
self._args = args
self._kwargs = kwargs
self._ds = 0
self._dm = 0
self.units = dict(mass='Msun',
length='kpccm',
velocity='km/s',
time='yr',
temperature='K')
# check for unit overrides
for k, v in six.iteritems(kwargs):
if k.lower() in self.units:
self.units[k.lower()] = v
self.global_particle_lists = ParticleListContainer(self)
self.simulation = SimulationAttributes()
self.yt_dataset = ds
self.nhalos = 0
self.ngalaxies = 0
self.nclouds = 0
self.halos = []
self.galaxies = []
self.group_types = []
self.reset_default_returns()
@property
def yt_dataset(self):
"""The yt dataset to perform actions on."""
if isinstance(self._ds, int):
raise Exception('No yt_dataset assigned!\nPlease assign '\
'one via `obj.yt_dataset=<YT DATASET>` ' \
'to load particle/field data from disk.')
return self._ds
@yt_dataset.setter
def yt_dataset(self, value):
if value == 0: return
if not hasattr(value, 'dataset_type'):
raise IOError('not a yt dataset?')
infile = '%s/%s' % (value.fullpath, value.basename)
self.skip_hash_check = False
if hasattr(self, 'hash'):
if isinstance(self.hash, np.bytes_):
self.hash = self.hash.decode('utf8')
hash = get_hash(infile)
if hash != self.hash:
raise IOError('hash mismatch!')
else:
self._ds = value
else:
self._ds = value
self.hash = get_hash(infile)
self._ds = value
self._ds_type = DatasetType(self._ds)
self._assign_simulation_attributes()
@property
def _has_galaxies(self):
"""Checks if any galaxies are present."""
if self.ngalaxies > 0:
return True
else:
return False
@property
def _has_clouds(self):
"""Checks if any clouds are present."""
if self.nclouds > 0:
return True
else:
return False
@property
def data_manager(self):
"""On demand DataManager class."""
if isinstance(self._dm, int):
from caesar.data_manager import DataManager
self._dm = DataManager(self)
return self._dm
def _assign_simulation_attributes(self):
"""Populate the `caesar.simulation_attributes.SimulationAttributes`
class."""
self.simulation.create_attributes(self)
def reset_default_returns(self, group_type='all'):
"""Reset the default returns for object dictionaries.
This function resets the default return quantities for CAESAR
halo/galaxy/cloud objects including ``mass``, ``radius``, ``sigma``,
``metallicity``, and ``temperature``.
Parameters
----------
obj : :class:`main.CAESAR`
Main CAESAR object.
group_type : {'all', 'halo', 'galaxy', 'cloud'}, optional
Group to reset return values for.
"""
self._default_returns = {}
dr = dict(
mass='total',
radius='total',
metallicity='mass_weighted',
temperature='mass_weighted',
)
if group_type == 'halo' or group_type == 'all':
dr['sigma'] = 'dm'
self._default_returns['halo'] = dr
if group_type == 'galaxy' or group_type == 'all':
dr['sigma'] = 'stellar'
self._default_returns['galaxy'] = dr
if group_type == 'cloud' or group_type == 'all':
dr['sigma'] = 'gas'
self._default_returns['galaxy'] = dr
def _set_default_returns(self, group_type, category, value):
"""Generic default return setter."""
from caesar.group import category_mapper, group_types
if group_type == 'halo': group = self.halos[0]
elif group_type == 'galaxy': group = self.galaxies[0]
elif group_type == 'cloud': group = self.clouds[0]
if category not in category_mapper.keys():
raise ValueError('%s not a valid category! Must pick one of %s' %
(category, category_mapper.keys()))
if value not in getattr(group, category_mapper[category]):
raise ValueError(
'%s not a valid value! Must pick one of %s' %
(value, getattr(group, category_mapper[category]).keys()))
mylog.warning('Setting default %s return for %s to "%s"' %
(category, group_types[group_type], value))
self._default_returns[group_type][category] = value
def set_default_halo_returns(self, category, value):
"""Set the default return quantity for a given halo attribute.
Parameters
----------
category : str
The attribute to redirect to a different quantity.
value : str
The internal name of the new quantity which must be
present in the dictinoary
"""
self._set_default_returns('halo', category, value)
def set_default_galaxy_returns(self, category, value):
"""Set the default return quantity for a given galaxy
attribute.
Parameters
----------
category : str
The attribute to redirect to a different quantity.
value : str
The internal name of the new quantity which must be
present in the dictinoary
"""
self._set_default_returns('galaxy', category, value)
def set_default_cloud_returns(self, category, value):
"""Set the default return quantity for a given cloud
attribute.
Parameters
----------
category : str
The attribute to redirect to a different quantity.
value : str
The internal name of the new quantity which must be
present in the dictinoary
"""
self._set_default_returns('cloud', category, value)
def _assign_objects(self):
"""Assign galaxies to halos, and central galaxies."""
import caesar.assignment as assign
assign.assign_galaxies_to_halos(self)
assign.assign_central_galaxies(self)
assign.assign_clouds_to_galaxies(self)
def _link_objects(self):
"""Link galaxies to halos and create sublists."""
import caesar.linking as link
link.link_galaxies_and_halos(self)
link.link_clouds_and_galaxies(self)
link.create_sublists(self)
def save(self, filename):
"""Save CAESAR file.
Parameters
----------
filename : str
The name of the output file.
Examples
--------
>>> obj.save('output.hdf5')
"""
from caesar.saver import save
save(self, filename)
def member_search(self, *args, **kwargs):
"""Meat and potatoes of CAESAR.
This method is responsible for loading particle/field data
from disk, creating halos, galaxies and clouds, linking objects
together, and finally calculating HI/H2 masses if necessary.
Parameters
----------
unbind_halos : boolean, optional
Unbind halos? Defaults to False
unbind_galaxies : boolean, optional
Unbind galaxies? Defaults to False
b_halo : float, optional
Quantity used in the linking length (LL) for halos.
LL = mean_interparticle_separation * b_halo. Defaults to
``b_halo = 0.2``.
b_galaxy : float, optional
Quantity used in the linking length (LL) for galaxies.
LL = mean_interparticle_separation * b_galaxy. Defaults
to ``b_galaxy = b_halo * 0.2``.
ll_cloud : float, optional
Quantity used in the linking length (LL) for clouds in
comoving kpc (kpccm).
fofclouds: boolean,optional
Indicates if we're running 3D fof on clouds. Default is that this
is set to false
fof6d: boolean, optional
Indicates if we're running galaxy finding with 6D FOF vs
the default of 3D FOF
fof6d_LL_factor: float, optional
Sets linking length for fof6d
fof6d_mingrp: float, optional
Sets minimum group size for fof6d
fof6d_velLL: float, optional
Sets linking length for velocity in fof6d
nproc: int, optional
Sets number of processors for fof6d and progen_rad
blackholes : boolean, optional
Indicate if blackholes are present in your simulation.
This must be toggled on manually as there is no clear
cut way to determine if PartType5 is a low-res particle,
or a black hole.
dust : boolean, optional
Indicate if active dust particles are present in your simulation.
This must be toggled on manually as there is no clear
cut way to determine if PartType3 is a low-res particle,
or an active dust particle.
lowres : list, optional
If you are running ``CAESAR`` on a Gadget/GIZMO zoom
simulation in HDF5 format, you may want to check
each halo for low-resolution contamination. By passing
in a list of particle types (ex. [2,3,5]) we will check
ALL objects for contamination and add the
``contamination`` attribute to all objects. Search
distance defaults to 2.5x radii['total'].
Examples
--------
>>> obj.member_search(blackholes=False)
"""
import caesar.assignment as assign
import caesar.linking as link
self._args = args
self._kwargs = kwargs
if 'v01_member_search' in self._kwargs and self._kwargs[
'v01_member_search']:
from caesar.fubar import fubar
self.data_manager._member_search_init()
fubar(self, 'halo')
fubar(self, 'galaxy')
fubar(self, 'cloud')
else:
from caesar.fubar_halo import fubar_halo
fubar_halo(self)
assign.assign_galaxies_to_halos(self)
assign.assign_clouds_to_galaxies(self)
link.link_galaxies_and_halos(self)
link.link_clouds_and_galaxies(self)
assign.assign_central_galaxies(self)
link.create_sublists(self)
#import caesar.hydrogen_mass_calc as mass_calc
#mass_calc.hydrogen_mass_calc(self)
from caesar.zoom_funcs import all_object_contam_check
all_object_contam_check(self)
def vtk_vis(self, **kwargs):
"""Method to visualize an entire simulation with VTK.
Parameters
----------
obj : :class:`main.CAESAR`
Simulation object to visualize.
ptypes : list
List containing one or more of the following:
'dm','gas','star', which dictates which particles to
render.
halo_only : boolean
If True only render particles belonging to halos.
galaxy_only: boolean
If True only render particles belonging to galaxies. Note
that this overwrites ``halo_only``.
annotate_halos : boolean, list, int, optional
Add labels to the render at the location of halos
annotating the group ID and total mass. If True then all
halos are annotated, if an integer list then halos of
those indexes are annotated, and finally if an integer
than the most massive N halos are annotated.
annotate_galaxies : boolean, list, int, optional
Add labels to the render at the location of galaxies
annotating the group ID and total mass. If True then all
galaxies are annotated, if an integer list then galaxies
of those indexes are annotated, and finally if an integer
than the most massive N galaxies are annotated.
"""
self.data_manager.load_particle_data()
from caesar.vtk_funcs import sim_vis
sim_vis(self, **kwargs)
def galinfo(self, top=10):
"""Method to print general info for the most massive galaxies
identified via CAESAR.
Parameters
----------
top : int, optional
Number of results to print. Defaults to 10.
Notes
-----
This prints to terminal, and is meant for use in an
interactive session.
"""
from caesar.utils import info_printer
info_printer(self, 'galaxy', top)
def haloinfo(self, top=10):
"""Method to print general info for the most massive halos
identified via CAESAR.
Parameters
----------
top : int, optional
Number of results to print. Defaults to 10.
Notes
-----
This prints to terminal, and is meant for use in an
interactive session.
"""
from caesar.utils import info_printer
info_printer(self, 'halo', top)
def cloudinfo(self, top=10):
"""Method to print general info for the most massive clouds
identified via CAESAR.
Parameters
----------
top : int, optional
Number of results to print. Defaults to 10.
Notes
-----
This prints to terminal, and is meant for use in an
interactive session.
"""
from caesar.utils import info_printer
info_printer(self, 'cloud', top)