Read merger branch (#104)

* Add support to read merger tree main branch

* Add imports

* Add trees path

* Edit processing
This commit is contained in:
Richard Stiskalek 2024-01-04 17:56:49 +01:00 committed by GitHub
parent 78443e30b5
commit f61f69dfab
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4 changed files with 292 additions and 3 deletions

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@ -12,7 +12,8 @@
# You should have received a copy of the GNU General Public License along
# with this program; if not, write to the Free Software Foundation, Inc.,
# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
from .catalogue import CSiBORG1Catalogue, CSiBORG2Catalogue, QuijoteCatalogue # noqa
from .catalogue import (CSiBORG1Catalogue, CSiBORG2Catalogue, # noqa
CSiBORG2MergerTreeReader, QuijoteCatalogue) # noqa
from .snapshot import (CSIBORG1Snapshot, CSIBORG2Snapshot, QuijoteSnapshot, # noqa
CSiBORG1Field, CSiBORG2Field, QuijoteField) # noqa
from .obs import (SDSS, MCXCClusters, PlanckClusters, TwoMPPGalaxies, # noqa

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@ -741,10 +741,17 @@ class CSiBORG2Catalogue(BaseCatalogue):
676.6, [338.3, 338.3, 338.3], observer_velocity, cache_maxsize)
self._custom_keys = ["GroupFirstSub", "GroupContamination",
"GroupNsubs"]
"GroupNsubs", "Group_M_Crit200"]
@property
def kind(self):
"""
Simulation kind.
Returns
-------
str
"""
return self._simname.split("_")[-1]
def _read_fof_catalogue(self, kind):
@ -802,12 +809,257 @@ class CSiBORG2Catalogue(BaseCatalogue):
def GroupNsubs(self):
return self._read_fof_catalogue("GroupNsubs")
@property
def Group_M_Crit200(self):
return self._read_fof_catalogue("Group_M_Crit200")
@property
def GroupContamination(self):
mass_type = self._read_fof_catalogue("GroupMassType")
return mass_type[:, 5] / (mass_type[:, 1] + mass_type[:, 5])
###############################################################################
# CSiBORG2 merger tree reader #
###############################################################################
class CSiBORG2MergerTreeReader:
"""
Merger tree reader for CSiBORG2. Currently supports reading the main branch
of the most massive FoF member at `z = 99`. Documentation of the merger
trees can be found at:
https://www.mtng-project.org/03_output/#descendant-and-progenitor-information # noqa
Parameters
----------
nsim : int
IC realisation index.
kind : str
Simulation kind. Must be one of 'main', 'varysmall', or 'random'.
paths : py:class`csiborgtools.read.Paths`, optional
Paths object.
"""
_simname = None
_nsim = None
def __init__(self, nsim, kind, paths=None):
self.simname = f"csiborg2_{kind}"
self.nsim = nsim
self._paths = paths
self._group2treeid = self.make_group_to_treeid()
@property
def simname(self):
"""
Simulation name.
Returns
-------
str
"""
if self._simname is None:
raise RuntimeError("`simname` is not set!")
return self._simname
@simname.setter
def simname(self, simname):
if not isinstance(simname, str):
raise TypeError("`simname` must be a string.")
self._simname = simname
@property
def nsim(self):
"""
Simulation IC realisation index.
Returns
-------
int
"""
if self._nsim is None:
raise RuntimeError("`nsim` is not set!")
return self._nsim
@nsim.setter
def nsim(self, nsim):
if not isinstance(nsim, (int, numpy.integer)):
raise TypeError("`nsim` must be an integer.")
self._nsim = int(nsim)
@property
def kind(self):
"""
Simulation kind.
Returns
-------
str
"""
return self._simname.split("_")[-1]
@property
def paths(self):
"""
Paths manager.
Returns
-------
py:class:`csiborgtools.read.Paths`
"""
if self._paths is None:
return Paths(**paths_glamdring)
return self._paths
def make_group_to_treeid(self):
"""
Create a mapping from group number at snapshot 99 to its tree ID.
Returns
-------
group2treeid : dict
Dictionary with group number as key and tree ID as value.
"""
print("Creating group to tree ID mapping...")
with File(self.paths.trees(self.nsim, self.simname), 'r') as f:
groupnr = f["TreeHalos/GroupNr"][:]
snapnum = f["TreeHalos/SnapNum"][:]
treeid = f["TreeHalos/TreeID"][:]
# Select only groups in the last snapshot
mask = snapnum == 99
groupnr = groupnr[mask]
treeid = treeid[mask]
group2treeid = {g: t for g, t in zip(groupnr, treeid)}
return group2treeid
def get_tree(self, tree_id):
"""
Extract a tree from the merger tree file.
Parameters
----------
tree_id : int
Tree ID.
Returns
-------
dict
"""
keys_extract = ["GroupNr",
"SnapNum",
"TreeFirstHaloInFOFgroup",
"TreeMainProgenitor",
"TreeNextProgenitor",
"TreeProgenitor",
"SubhaloMass",
]
with File(self.paths.trees(self.nsim, self.simname), 'r') as f:
max_treeid = f["TreeTable/TreeID"][-1]
if not (0 <= tree_id <= max_treeid):
raise ValueError(f"Tree ID must be between 0 and {max_treeid}.") # noqa
i = f["TreeTable/StartOffset"][tree_id]
j = i + f["TreeTable/Length"][tree_id]
tree = {}
for key in keys_extract:
tree[key] = f[f"TreeHalos/{key}"][i:j]
tree["Redshift"] = f["TreeTimes/Redshift"][:]
tree["Time"] = f["TreeTimes/Time"][:]
return tree
def find_first_fof_member(self, group_nr, tree):
"""
Find the first FOF member of a group at snapshot 99.
Parameters
----------
group_nr : int
Group number at snapshot 99.
tree : dict
Merger tree.
Returns
-------
int
"""
fsnap_mask = tree["SnapNum"] == 99
group_mask = tree["GroupNr"][fsnap_mask] == group_nr
first_fof = tree["TreeFirstHaloInFOFgroup"][fsnap_mask][group_mask]
if not numpy.all(first_fof == first_fof[0]):
raise RuntimeError("We get non-unique first FOF group.")
return first_fof[0]
def main_progenitor(self, group_nr):
"""
Return the mass and redshift of the main progenitor of a group.
Parameters
----------
group_nr : int
Group number at snapshot 99.
Returns
-------
dict
"""
tree_id = self._group2treeid[group_nr]
tree = self.get_tree(tree_id)
first_fof = self.find_first_fof_member(group_nr, tree)
n = first_fof # Index of the current main progenitor
time, redshift, main_progenitor_mass = [], [], []
max_next_progenitor_mass, total_next_progenitor_mass = [], []
while True:
# First off attempt to find the next progenitors of the current
# halo. Deal with the main progenitor later.
next_prog = tree["TreeNextProgenitor"][n]
if next_prog != -1:
minors = []
while True:
minors.append(tree["SubhaloMass"][next_prog])
next_prog = tree["TreeNextProgenitor"][next_prog]
if next_prog == -1:
break
else:
# Fiducially set it to zero.
minors = [0]
# Update data with information from the current main progenitor.
major = tree["SubhaloMass"][n]
main_progenitor_mass.append(major)
max_next_progenitor_mass.append(max(minors))
total_next_progenitor_mass.append(sum(minors))
redshift.append(tree["Redshift"][tree["SnapNum"][n]])
time.append(tree["Time"][tree["SnapNum"][n]])
# Update n to the next main progenitor.
n = tree["TreeMainProgenitor"][n]
if n == -1:
break
return {"Time": numpy.array(time),
"Redshift": numpy.array(redshift),
"MainProgenitorMass": numpy.array(main_progenitor_mass) * 1e10,
"MaxNextProgenitorMass": numpy.array(max_next_progenitor_mass) * 1e10, # noqa
"TotalNextProgenitorMass": numpy.array(total_next_progenitor_mass) * 1e10, # noqa
}
###############################################################################
# Quijote halo catalogue #
###############################################################################

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@ -231,6 +231,38 @@ class Paths:
else:
raise ValueError(f"Unknown simulation name `{simname}`.")
def trees(self, nsim, simname):
"""
Path to the halo trees of a simulation snapshot.
Parameters
----------
nsim : int
IC realisation index.
simname : str
Simulation name.
Returns
-------
str
"""
if simname == "csiborg1":
raise ValueError("Trees not available for CSiBORG1.")
elif simname == "csiborg2_main":
return join(self.csiborg2_main_srcdir, f"chain_{nsim}", "output",
"trees.hdf5")
elif simname == "csiborg2_random":
return join(self.csiborg2_ranodm_srcdir, f"chain_{nsim}", "output",
"trees.hdf5")
elif simname == "csiborg2_varysmall":
return join(self.csiborg2_varysmall_srcdir,
f"chain_16417_{str(nsim).zfill(3)}", "output",
"trees.hdf5")
elif simname == "quijote":
raise ValueError("Trees not available for Quijote.")
else:
raise ValueError(f"Unknown simulation name `{simname}`.")
def overlap(self, simname, nsim0, nsimx, min_logmass, smoothed):
"""
Path to the overlap files between two CSiBORG simulations.

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@ -20,8 +20,12 @@ if __name__ == "__main__":
# simname = "csiborg2_main"
# mode = 1
# chains = [1] + [25 + n * 25 for n in range(19)]
# simname = "csiborg2_varysmall"
# mode = 1
chains = [1] + [25 + n * 25 for n in range(19)]
simname = "csiborg2_varysmall"
simname = "csiborg2_random"
mode = 1
# chains = [7444 + n * 24 for n in range(1, 101)]