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Add PHEW cats
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2 changed files with 75 additions and 11 deletions
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@ -13,7 +13,7 @@
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# with this program; if not, write to the Free Software Foundation, Inc.,
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# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
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from .box_units import CSiBORGBox, QuijoteBox # noqa
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from .halo_cat import CSiBORGCatalogue, QuijoteCatalogue, fiducial_observers # noqa
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from .halo_cat import CSiBORGCatalogue, QuijoteCatalogue, CSiBORGPHEWCatalogue, fiducial_observers # noqa
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from .obs import SDSS, MCXCClusters, PlanckClusters, TwoMPPGalaxies, TwoMPPGroups # noqa
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from .paths import Paths # noqa
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from .readsim import CSiBORGReader, QuijoteReader, load_halo_particles, make_halomap_dict # noqa
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@ -82,9 +82,10 @@ class BaseCatalogue(ABC):
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"particle_offset"
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]
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def __init__(self, simname, nsim, nsnap, halo_finder, catalogue_name,
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paths, mass_key, bounds, observer_location, observer_velocity,
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cache_maxsize=64):
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def init_with_snapshot(self, simname, nsim, nsnap, halo_finder,
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catalogue_name, paths, mass_key, bounds,
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observer_location, observer_velocity,
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cache_maxsize=64):
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self.simname = simname
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self.nsim = nsim
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self.nsnap = nsnap
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@ -406,6 +407,7 @@ class BaseCatalogue(ABC):
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self._load_filtered = False
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mask = numpy.ones(len(self), dtype=bool)
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self._catalogue_length = None # Don't cache the length
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for key, (xmin, xmax) in bounds.items():
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values_to_filter = self[f"__{key}"]
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@ -526,9 +528,17 @@ class BaseCatalogue(ABC):
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self._cache.clear()
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collect()
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def __repr__(self):
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return (f"<{self.__class__.__name__}> "
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f"(nsim = {self.nsim}, nsnap = {self.nsnap}, "
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f"nhalo = {len(self)})")
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def __len__(self):
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if self._catalogue_length is None:
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self._catalogue_length = len(self["__index"])
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if self._load_filtered:
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self._catalogue_length = self._filter_mask.sum()
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else:
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self._catalogue_length = len(self["__index"])
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return self._catalogue_length
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@ -556,18 +566,73 @@ class CSiBORGCatalogue(BaseCatalogue):
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Halo finder name.
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mass_key : str, optional
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Mass key of the catalogue.
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bounds : dict, optional
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Parameter bounds; keys as parameter names, values as (min, max).
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observer_velocity : 1-dimensional array, optional
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Observer's velocity in :math:`\mathrm{km} / \mathrm{s}`.
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cache_maxsize : int, optional
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Maximum number of cached arrays.
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"""
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def __init__(self, nsim, paths, catalogue_name, halo_finder, mass_key=None,
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bounds=None, observer_velocity=None, cache_maxsize=64):
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super().__init__("csiborg", nsim,
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max(paths.get_snapshots(nsim, "csiborg")),
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halo_finder, catalogue_name, paths, mass_key,
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bounds, [338.85, 338.85, 338.85], observer_velocity,
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cache_maxsize)
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super().init_with_snapshot(
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"csiborg", nsim, max(paths.get_snapshots(nsim, "csiborg")),
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halo_finder, catalogue_name, paths, mass_key, bounds,
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[338.85, 338.85, 338.85], observer_velocity, cache_maxsize)
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self.box = CSiBORGBox(self.nsnap, self.nsim, self.paths)
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###############################################################################
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# Quijote PHEW without snapshot catalogue #
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###############################################################################
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class CSiBORGPHEWCatalogue(BaseCatalogue):
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r"""
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CSiBORG PHEW halo catalogue without snapshot. Units typically used are:
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- Length: :math:`cMpc / h`
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- Mass: :math:`M_\odot / h`
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"""
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def __init__(self, nsnap, nsim, paths, mass_key=None, bounds=None,
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cache_maxsize=64):
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# TODO add a flag if only want to load main haloes
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self.simname = "csiborg"
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self.nsnap = nsnap
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self.nsim = nsim
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self.paths = paths
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self.mass_key = mass_key
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self.observer_location = [338.85, 338.85, 338.85]
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self.box = CSiBORGBox(self.nsnap, self.nsim, self.paths)
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fname = paths.processed_phew(nsim)
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self._data = File(fname, "r")
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if str(nsnap) not in self._data.keys():
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raise ValueError(f"Snapshot {nsnap} not in the catalogue.")
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self.catalogue_name = str(nsnap)
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# self._data = self._data[str(nsnap)]
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self._is_closed = False
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self.cache_maxsize = cache_maxsize
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if bounds is not None:
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self._make_mask(bounds)
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self._derived_properties = ["cartesian_pos", "spherical_pos", "dist"]
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@staticmethod
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def get_snapshots(nsim, paths):
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"""List of snapshots available for this simulation."""
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fname = paths.processed_phew(nsim)
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with File(fname, "r") as f:
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snaps = [int(key) for key in f.keys() if key != "info"]
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f.close()
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return numpy.sort(snaps)
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###############################################################################
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# Quijote halo catalogue #
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###############################################################################
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@ -713,7 +778,6 @@ class QuijoteCatalogue(BaseCatalogue):
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return cat
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###############################################################################
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# Utility functions for halo catalogues #
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###############################################################################
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