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property_table.py
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property_table.py
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#!/bin/env python
"""
property_table.py
This file contains all the properties that can be calculated by SOAP, and some
functionality to automatically generate the documentation (PDF) containing these
properties.
The rationale for having all of this in one file (and what is essentially one
big dictionary) is consistency: every property is defined exactly once, with
one data type, one unit, one description... Every type of halo still
implements its own calculation of each property, but everything that is exposed
to the user is guaranteed to be consistent for all halo types. To change the
documentation, you need to change the dictionary, so you will automatically
change the code as well. If you remember to regenerate the documentation, the
code will hence always be consistent with its documentation. The documentation
includes a version string to help identify it.
When a specific type of halo wants to implement a property, it should import the
property table from this file and grab all of the information for the
corresponding dictionary element, e.g. (taken from aperture_properties.py)
from property_table import PropertyTable
property_list = [
(prop, *PropertyTable.full_property_list[prop])
for prop in [
"Mtot",
"Mgas",
"Mdm",
"Mstar",
]
]
The elements of each row are documented later in this file.
Note that this file contains some code that helps to regenerate the dictionary
itself. That is useful for adding additional rows to the table.
"""
import numpy as np
import unyt
import subprocess
import datetime
import os
from typing import Dict, List
from halo_properties import HaloProperty
def get_version_string() -> str:
"""
Generate a version string that uniquely identifies the documentation file.
The version string will have the format
SOAP version a7baa6e -- Compiled by user ``vandenbroucke'' on winkel
on Tuesday 15 November 2022, 10:49:10
or
Unknown SOAP version -- Compiled by user ``vandenbroucke'' on winkel
on Tuesday 15 November 2022, 10:49:10
if no git version string can be obtained.
"""
handle = subprocess.run("git describe --always", shell=True, stdout=subprocess.PIPE)
if handle.returncode != 0:
git_version = "Unknown SOAP version"
else:
git_version = handle.stdout.decode("utf-8").strip()
git_version = f"SOAP version ``{git_version}''"
timestamp = datetime.datetime.now().strftime("%A %-d %B %Y, %H:%M:%S")
username = os.getlogin()
hostname = os.uname().nodename
return (
f"Generated by user ``{username}'' on {hostname} on {timestamp}. {git_version}"
)
def word_wrap_name(name):
"""
Put a line break in if a name gets too long
"""
maxlen = 20
count = 0
output = []
last_was_lower = False
for i in range(len(name)):
next_char = name[i]
count += 1
if count > maxlen and next_char.isupper() and last_was_lower:
output.append(r"\-")
output.append(next_char)
last_was_lower = next_char.isupper() == False
return "".join(output)
class PropertyTable:
"""
Auxiliary object to manipulate the property table.
You should only create a PropertyTable object if you actually want to use
it to generate an updated version of the internal property dictionary or
to generate the documentation. If you just want to grab the information for
a particular property from the table, you should directly access the
static table, e.g.
Mstar_info = PropertyTable.full_property_list["Mstar"]
"""
# some properties require an additional explanation in the form of a
# footnote. These footnotes are .tex files in the 'documentation' folder
# (that should exist). The name of the file acts as a key in the dictionary
# below; the corresponding value is a list of all properties that should
# include a footnote link to this particular explanation.
explanation = {
"footnote_MBH.tex": ["BHmaxM"],
"footnote_com.tex": ["com", "vcom"],
"footnote_AngMom.tex": ["Lgas", "Ldm", "Lstar", "Lbaryons"],
"footnote_kappa.tex": [
"kappa_corot_gas",
"kappa_corot_star",
"kappa_corot_baryons",
],
"footnote_SF.tex": [
"SFR",
"gasFefrac_SF",
"gasOfrac_SF",
"Mgas_SF",
"gasmetalfrac_SF",
],
"footnote_Tgas.tex": [
"Tgas",
"Tgas_no_agn",
"Tgas_no_cool",
"Tgas_no_cool_no_agn",
],
"footnote_lum.tex": ["StellarLuminosity"],
"footnote_circvel.tex": ["R_vmax_unsoft", "Vmax_unsoft", "Vmax_soft"],
"footnote_spin.tex": ["spin_parameter"],
"footnote_veldisp_matrix.tex": [
"veldisp_matrix_gas",
"veldisp_matrix_dm",
"veldisp_matrix_star",
],
"footnote_proj_veldisp.tex": [
"proj_veldisp_gas",
"proj_veldisp_dm",
"proj_veldisp_star",
],
"footnote_elements.tex": [
"gasOfrac",
"gasOfrac_SF",
"gasFefrac",
"gasFefrac_SF",
"gasmetalfrac",
"gasmetalfrac_SF",
],
"footnote_halfmass.tex": [
"HalfMassRadiusTot",
"HalfMassRadiusGas",
"HalfMassRadiusDM",
"HalfMassRadiusStar",
],
"footnote_satfrac.tex": ["Mfrac_satellites", "Mfrac_external"],
"footnote_Ekin.tex": ["Ekin_gas", "Ekin_star"],
"footnote_Etherm.tex": ["Etherm_gas"],
"footnote_Mnu.tex": ["Mnu", "MnuNS"],
"footnote_Xray.tex": [
"Xraylum",
"Xraylum_restframe",
"Xrayphlum",
"Xrayphlum_restframe",
],
"footnote_compY.tex": ["compY", "compY_no_agn"],
"footnote_dopplerB.tex": ["DopplerB"],
"footnote_coreexcision.tex": [
"Tgas_cy_weighted_core_excision",
"Tgas_cy_weighted_core_excision_no_agn",
"Tgas_core_excision",
"Tgas_no_cool_core_excision",
"Tgas_no_agn_core_excision",
"Tgas_no_cool_no_agn_core_excision",
"Xraylum_core_excision",
"Xraylum_no_agn_core_excision",
"Xrayphlum_core_excision",
"Xrayphlum_no_agn_core_excision",
"SpectroscopicLikeTemperature_core_excision",
"SpectroscopicLikeTemperature_no_agn_core_excision",
],
"footnote_cytemp.tex": [
"Tgas_cy_weighted",
"Tgas_cy_weighted_no_agn",
"Tgas_cy_weighted_core_excision",
"Tgas_cy_weighted_core_excision_no_agn",
],
"footnote_spectroscopicliketemperature.tex": [
"SpectroscopicLikeTemperature",
"SpectroscopicLikeTemperature_core_excision",
"SpectroscopicLikeTemperature_no_agn",
"SpectroscopicLikeTemperature_no_agn_core_excision",
],
"footnote_dust.tex": [
"DustGraphiteMass",
"DustGraphiteMassInMolecularGas",
"DustGraphiteMassInAtomicGas",
"DustSilicatesMass",
"DustSilicatesMassInMolecularGas",
"DustSilicatesMassInAtomicGas",
"DustLargeGrainMass",
"DustLargeGrainMassInMolecularGas",
"DustSmallGrainMass",
"DustSmallGrainMassInMolecularGas",
],
"footnote_diffuse.tex": [
"DiffuseCarbonMass",
"DiffuseOxygenMass",
"DiffuseMagnesiumMass",
"DiffuseSiliconMass",
"DiffuseIronMass",
],
"footnote_concentration.tex": [
"concentration",
"concentration_soft",
"concentration_dmo",
"concentration_dmo_soft",
],
"footnote_tensor.tex": [
"TotalInertiaTensor",
"TotalInertiaTensorReduced",
"TotalInertiaTensorNoniterative",
"TotalInertiaTensorReducedNoniterative",
"ProjectedTotalInertiaTensor",
"ProjectedTotalInertiaTensorReduced",
"ProjectedTotalInertiaTensorNoniterative",
"ProjectedTotalInertiaTensorReducedNoniterative",
],
}
# dictionary with human-friendly descriptions of the various lossy
# compression filters that can be applied to data.
# The key is the name of a lossy compression filter (same names as used
# by SWIFT), the value is the corresponding description, which can be either
# an actual description or a representative example.
compression_description = {
"FMantissa9": "$1.36693{\\rm{}e}10 \\rightarrow{} 1.367{\\rm{}e}10$",
"FMantissa13": "$1.36693{\\rm{}e}10 \\rightarrow{} 1.3669{\\rm{}e}10$",
"DMantissa9": "$1.36693{\\rm{}e}10 \\rightarrow{} 1.367{\\rm{}e}10$",
"DScale6": "1 pc accurate",
"DScale5": "10 pc accurate",
"DScale1": "0.1 km/s accurate",
"Nbit40": "Store less bits",
"None": "no compression",
}
# List of properties that get computed
# The key for each property is the name that is used internally in SOAP
# For each property, we have the following columns:
# - name: Name of the property within the output file
# - shape: Shape of this property for a single halo (1: scalar,
# 3: vector...)
# - dtype: Data type that will be used. Should have enough precision to
# avoid over/underflow
# - unit: Units that will be used internally and for the output.
# - description: Description string that will be used to describe the
# property in the output.
# - category: Category used to decide if this property should be calculated
# for a particular halo (filtering).
# - lossy compression filter: Lossy compression filter used in the output
# to reduce the file size. Note that SOAP does not actually compress
# the output; this is done by a separate script. We support all lossy
# compression filters available in SWIFT.
# - DMO property: Should this property be calculated for a DMO run?
# - Particle properties: Particle fields that are required to compute this
# property. Used to determine which particle fields to read for a
# particular SOAP configuration (as defined in the parameter file).
# - Output physical: Whether to output this value as physical or co-moving.
# - a-scale exponent: What a-scale exponent to set for this property. If set
# to None this marks that the property can not be converted to comoving
#
# Note that there is no good reason to have a diffent internal name and
# output name; this was mostly done for historical reasons. This means that
# you can easily change the name in the output without having to change all
# of the other .py files that use this property.
full_property_list = {
"AtomicHydrogenMass": (
"AtomicHydrogenMass",
1,
np.float32,
"snap_mass",
"Total gas mass in atomic hydrogen.",
"basic",
"FMantissa9",
False,
[
"PartType0/Masses",
"PartType0/SpeciesFractions",
"PartType0/ElementMassFractions",
],
True,
0,
),
"BHlasteventa": (
"BlackHolesLastEventScalefactor",
1,
np.float32,
"dimensionless",
"Scale-factor of last AGN event.",
"general",
"FMantissa9",
False,
["PartType5/LastAGNFeedbackScaleFactors"],
True,
None,
),
"BlackHolesTotalInjectedThermalEnergy": (
"BlackHolesTotalInjectedThermalEnergy",
1,
np.float32,
"snap_mass*snap_length**2/snap_time**2",
"Total thermal energy injected into gas particles by all black holes.",
"general",
"FMantissa9",
False,
["PartType5/AGNTotalInjectedEnergies"],
True,
None,
),
"BlackHolesTotalInjectedJetEnergy": (
"BlackHolesTotalInjectedJetEnergy",
1,
np.float32,
"snap_mass*snap_length**2/snap_time**2",
"Total jet energy injected into gas particles by all black holes.",
"general",
"FMantissa9",
False,
["PartType5/InjectedJetEnergies"],
True,
None,
),
"BHmaxAR": (
"MostMassiveBlackHoleAccretionRate",
1,
np.float32,
"snap_mass/snap_time",
"Gas accretion rate of most massive black hole.",
"general",
"FMantissa9",
False,
["PartType5/SubgridMasses", "PartType5/AccretionRates"],
True,
None,
),
"MostMassiveBlackHoleAveragedAccretionRate": (
"MostMassiveBlackHoleAveragedAccretionRate",
2,
np.float32,
"snap_mass/snap_time",
"Gas accretion rate of the most massive black hole, averaged over past 100Myr and past 10Myr",
"general",
"FMantissa9",
False,
["PartType5/SubgridMasses", "PartType5/AveragedAccretionRates"],
True,
None,
),
"MostMassiveBlackHoleInjectedThermalEnergy": (
"MostMassiveBlackHoleInjectedThermalEnergy",
1,
np.float32,
"snap_mass*snap_length**2/snap_time**2",
"Total thermal energy injected into gas particles by the most massive black hole.",
"general",
"FMantissa9",
False,
["PartType5/SubgridMasses", "PartType5/AGNTotalInjectedEnergies"],
True,
None,
),
"MostMassiveBlackHoleAccretionMode": (
"MostMassiveBlackHoleAccretionMode",
1,
np.int32,
"dimensionless",
"Accretion flow regime of the most massive black hole. 0 - Thick disk, 1 - Thin disk, 2 - Slim disk",
"general",
"None",
False,
["PartType5/SubgridMasses", "PartType5/AccretionModes"],
True,
0,
),
"MostMassiveBlackHoleGWMassLoss": (
"MostMassiveBlackHoleGWMassLoss",
1,
np.float32,
"snap_mass",
"Cumulative mass lost to GW via BH-BH mergers over the history of the most massive black holes. This includes the mass loss from all the progenitors.",
"general",
"FMantissa9",
False,
["PartType5/SubgridMasses", "PartType5/GWMassLosses"],
True,
0,
),
"MostMassiveBlackHoleInjectedJetEnergyByMode": (
"MostMassiveBlackHoleInjectedJetEnergyByMode",
3,
np.float32,
"snap_mass*snap_length**2/snap_time**2",
"The total energy injected in the kinetic jet AGN feedback mode by the mostmassive black hole, split by accretion mode. The components correspond to the jet energy dumped in the thick, thin and slim disc modes, respectively.",
"general",
"FMantissa9",
False,
["PartType5/SubgridMasses", "PartType5/InjectedJetEnergiesByMode"],
True,
None,
),
"MostMassiveBlackHoleFormationScalefactor": (
"MostMassiveBlackHoleFormationScalefactor",
1,
np.float32,
"dimensionless",
"Scale-factor when most massive black hole was formed.",
"general",
"FMantissa13",
False,
["PartType5/SubgridMasses", "PartType5/FormationScaleFactors"],
True,
None,
),
"MostMassiveBlackHoleLastJetEventScalefactor": (
"MostMassiveBlackHoleLastJetEventScalefactor",
1,
np.float32,
"dimensionless",
"Scale-factor of last jet event for most massive black hole.",
"general",
"FMantissa13",
False,
["PartType5/SubgridMasses", "PartType5/LastAGNJetScaleFactors"],
True,
None,
),
"MostMassiveBlackHoleNumberOfAGNEvents": (
"MostMassiveBlackHoleNumberOfAGNEvents",
1,
np.int32,
"dimensionless",
"Number of thermal AGN events the most massive black hole has had so far",
"general",
"None",
False,
["PartType5/SubgridMasses", "PartType5/NumberOfAGNEvents"],
True,
0,
),
"MostMassiveBlackHoleNumberOfAGNJetEvents": (
"MostMassiveBlackHoleNumberOfAGNJetEvents",
1,
np.int32,
"dimensionless",
"Number of jet events the most massive black hole has had so far",
"general",
"None",
False,
["PartType5/SubgridMasses", "PartType5/NumberOfAGNJetEvents"],
True,
0,
),
"MostMassiveBlackHoleNumberOfMergers": (
"MostMassiveBlackHoleNumberOfMergers",
1,
np.int32,
"dimensionless",
"Number of mergers experienced by the most massive black hole.",
"general",
"None",
False,
["PartType5/SubgridMasses", "PartType5/NumberOfMergers"],
True,
0,
),
"MostMassiveBlackHoleRadiatedEnergyByMode": (
"MostMassiveBlackHoleRadiatedEnergyByMode",
3,
np.float32,
"snap_mass*snap_length**2/snap_time**2",
"The total energy launched into radiation by the most massive black hole, split by accretion mode. The components correspond to the radiative energy dumped in the thick, thin and slim disc modes, respectively.",
"general",
"FMantissa9",
False,
["PartType5/SubgridMasses", "PartType5/RadiatedEnergiesByMode"],
True,
None,
),
"MostMassiveBlackHoleTotalAccretedMass": (
"MostMassiveBlackHoleTotalAccretedMass",
1,
np.float32,
"snap_mass",
"The total mass accreted by the most massive black hole.",
"general",
"FMantissa9",
False,
["PartType5/SubgridMasses", "PartType5/TotalAccretedMasses"],
True,
0,
),
"MostMassiveBlackHoleTotalAccretedMassesByMode": (
"MostMassiveBlackHoleTotalAccretedMassesByMode",
3,
np.float32,
"snap_mass",
"The total mass accreted by the most massive black hole in each accretion mode. The components correspond to the mass accreted in the thick, thin and slim disc modes, respectively.",
"general",
"FMantissa9",
False,
["PartType5/SubgridMasses", "PartType5/TotalAccretedMassesByMode"],
True,
0,
),
"MostMassiveBlackHoleSpin": (
"MostMassiveBlackHoleSpin",
1,
np.float32,
"dimensionless",
"Dimensionless spin of the most massive black hole. Negative values indicate retrograde accretion.",
"general",
"FMantissa9",
False,
["PartType5/SubgridMasses", "PartType5/Spins"],
True,
0,
),
"MostMassiveBlackHoleWindEnergyByMode": (
"MostMassiveBlackHoleWindEnergyByMode",
3,
np.float32,
"snap_mass*snap_length**2/snap_time**2",
"The total energy launched into accretion disc winds by the most massive black hole, split by accretion mode. The components correspond to the radiative energy dumped in the thick, thin and slim disc modes, respectively.",
"general",
"FMantissa9",
False,
["PartType5/SubgridMasses", "PartType5/WindEnergiesByMode"],
True,
None,
),
"BHmaxID": (
"MostMassiveBlackHoleID",
1,
np.uint64,
"dimensionless",
"ID of most massive black hole.",
"basic",
"None",
False,
["PartType5/SubgridMasses", "PartType5/ParticleIDs"],
True,
None,
),
"BHmaxM": (
"MostMassiveBlackHoleMass",
1,
np.float32,
"snap_mass",
"Mass of most massive black hole.",
"basic",
"FMantissa9",
False,
["PartType5/SubgridMasses"],
True,
0,
),
"BHmaxlasteventa": (
"MostMassiveBlackHoleLastEventScalefactor",
1,
np.float32,
"dimensionless",
"Scale-factor of last thermal AGN event for most massive black hole.",
"general",
"FMantissa13",
False,
["PartType5/SubgridMasses", "PartType5/LastAGNFeedbackScaleFactors"],
True,
None,
),
"BHmaxpos": (
"MostMassiveBlackHolePosition",
3,
np.float64,
"snap_length",
"Position of most massive black hole.",
"general",
"DScale6",
False,
["PartType5/Coordinates", "PartType5/SubgridMasses"],
False,
1,
),
"BHmaxvel": (
"MostMassiveBlackHoleVelocity",
3,
np.float32,
"snap_length/snap_time",
"Velocity of most massive black hole relative to the simulation volume.",
"general",
"FMantissa9",
False,
["PartType5/SubgridMasses", "PartType5/Velocities"],
False,
1,
),
"DarkMatterInertiaTensor": (
"DarkMatterInertiaTensor",
6,
np.float32,
"snap_length**2",
"3D inertia tensor computed iteratively from the DM mass distribution, relative to the halo centre. Diagonal components and one off-diagonal triangle as (1,1), (2,2), (3,3), (1,2), (1,3), (2,3). Only calculated when we have more than 20 particles.",
"dm",
"FMantissa9",
True,
["PartType1/Coordinates", "PartType1/Masses"],
True,
2,
),
"DarkMatterInertiaTensorReduced": (
"DarkMatterInertiaTensorReduced",
6,
np.float32,
"dimensionless",
"Reduced 3D inertia tensor computed iteratively from the DM mass distribution, relative to the halo centre. Diagonal components and one off-diagonal triangle as (1,1), (2,2), (3,3), (1,2), (1,3), (2,3). Only calculated when we have more than 20 particles.",
"dm",
"FMantissa9",
True,
["PartType1/Coordinates", "PartType1/Masses"],
True,
0,
),
"DarkMatterInertiaTensorNoniterative": (
"DarkMatterInertiaTensorNoniterative",
6,
np.float32,
"snap_length**2",
"3D inertia tensor computed in a single interation from the DM mass distribution, relative to the halo centre. Diagonal components and one off-diagonal triangle as (1,1), (2,2), (3,3), (1,2), (1,3), (2,3). Only calculated when we have more than 20 particles.",
"dm",
"FMantissa9",
True,
["PartType1/Coordinates", "PartType1/Masses"],
True,
2,
),
"DarkMatterInertiaTensorReducedNoniterative": (
"DarkMatterInertiaTensorReducedNoniterative",
6,
np.float32,
"dimensionless",
"Reduced 3D inertia tensor computed in a single interation from the DM mass distribution, relative to the halo centre. Diagonal components and one off-diagonal triangle as (1,1), (2,2), (3,3), (1,2), (1,3), (2,3). Only calculated when we have more than 20 particles.",
"dm",
"FMantissa9",
True,
["PartType1/Coordinates", "PartType1/Masses"],
True,
0,
),
"DiffuseCarbonMass": (
"DiffuseCarbonMass",
1,
np.float32,
"snap_mass",
"Total gas mass in carbon that is not contained in dust.",
"gas",
"FMantissa9",
False,
["PartType0/Masses", "PartType0/ElementMassFractionsDiffuse"],
True,
0,
),
"DiffuseIronMass": (
"DiffuseIronMass",
1,
np.float32,
"snap_mass",
"Total gas mass in iron that is not contained in dust.",
"gas",
"FMantissa9",
False,
["PartType0/Masses", "PartType0/ElementMassFractionsDiffuse"],
True,
0,
),
"DiffuseMagnesiumMass": (
"DiffuseMagnesiumMass",
1,
np.float32,
"snap_mass",
"Total gas mass in magnesium that is not contained in dust.",
"gas",
"FMantissa9",
False,
["PartType0/Masses", "PartType0/ElementMassFractionsDiffuse"],
True,
0,
),
"DiffuseOxygenMass": (
"DiffuseOxygenMass",
1,
np.float32,
"snap_mass",
"Total gas mass in oxygen that is not contained in dust.",
"gas",
"FMantissa9",
False,
["PartType0/Masses", "PartType0/ElementMassFractionsDiffuse"],
True,
0,
),
"DiffuseSiliconMass": (
"DiffuseSiliconMass",
1,
np.float32,
"snap_mass",
"Total gas mass in silicon that is not contained in dust.",
"gas",
"FMantissa9",
False,
["PartType0/Masses", "PartType0/ElementMassFractionsDiffuse"],
True,
0,
),
"DopplerB": (
"DopplerB",
1,
np.float32,
"dimensionless",
"Kinetic Sunyaey-Zel'dovich effect, assuming a line of sight towards the position of the first lightcone observer.",
"general",
"FMantissa9",
False,
[
"PartType0/Coordinates",
"PartType0/Velocities",
"PartType0/ElectronNumberDensities",
"PartType0/Densities",
],
False,
1,
),
"DtoTgas": (
"DiscToTotalGasMassFraction",
1,
np.float32,
"dimensionless",
"Fraction of the total gas mass that is co-rotating.",
"gas",
"FMantissa9",
False,
["PartType0/Coordinates", "PartType0/Masses", "PartType0/Velocities"],
True,
0,
),
"DtoTstar": (
"DiscToTotalStellarMassFraction",
1,
np.float32,
"dimensionless",
"Fraction of the total stellar mass that is co-rotating.",
"star",
"FMantissa9",
False,
["PartType4/Coordinates", "PartType4/Velocities", "PartType4/Masses"],
True,
0,
),
"DustGraphiteMass": (
"DustGraphiteMass",
1,
np.float32,
"snap_mass",
"Total dust mass in graphite grains.",
"gas",
"FMantissa9",
False,
["PartType0/Masses", "PartType0/DustMassFractions"],
True,
0,
),
"DustGraphiteMassInAtomicGas": (
"DustGraphiteMassInAtomicGas",
1,
np.float32,
"snap_mass",
"Total dust mass in graphite grains in atomic gas.",
"gas",
"FMantissa9",
False,
[
"PartType0/Masses",
"PartType0/DustMassFractions",
"PartType0/ElementMassFractions",
"PartType0/SpeciesFractions",
],
True,
0,
),
"DustGraphiteMassInMolecularGas": (
"DustGraphiteMassInMolecularGas",
1,
np.float32,
"snap_mass",
"Total dust mass in graphite grains in molecular gas.",
"gas",
"FMantissa9",
False,
[
"PartType0/Masses",
"PartType0/DustMassFractions",
"PartType0/SpeciesFractions",
"PartType0/ElementMassFractions",
],
True,
0,
),
"DustGraphiteMassInColdDenseGas": (
"DustGraphiteMassInColdDenseGas",
1,
np.float32,
"snap_mass",
"Total dust mass in graphite grains in cold, dense gas.",
"gas",
"FMantissa9",
False,
[
"PartType0/Masses",
"PartType0/DustMassFractions",
"PartType0/Densities",
"PartType0/Temperatures",
],
True,
0,
),
"DustLargeGrainMass": (
"DustLargeGrainMass",
1,
np.float32,
"snap_mass",
"Total dust mass in large grains.",
"gas",
"FMantissa9",
False,
["PartType0/Masses", "PartType0/DustMassFractions"],
True,
0,
),
"DustLargeGrainMassInMolecularGas": (
"DustLargeGrainMassInMolecularGas",
1,
np.float32,
"snap_mass",
"Total dust mass in large grains in molecular gas.",
"gas",
"FMantissa9",
False,
[
"PartType0/Masses",
"PartType0/DustMassFractions",
"PartType0/SpeciesFractions",
"PartType0/ElementMassFractions",
],
True,
0,
),
"DustLargeGrainMassInColdDenseGas": (
"DustLargeGrainMassInColdDenseGas",
1,
np.float32,
"snap_mass",
"Total dust mass in large grains in cold, dense gas.",
"gas",
"FMantissa9",
False,
[
"PartType0/Masses",
"PartType0/DustMassFractions",
"PartType0/Densities",
"PartType0/Temperatures",
],
True,
0,
),
"DustSilicatesMass": (
"DustSilicatesMass",
1,
np.float32,
"snap_mass",
"Total dust mass in silicate grains.",
"gas",
"FMantissa9",
False,
["PartType0/Masses", "PartType0/DustMassFractions"],
True,
0,
),
"DustSilicatesMassInAtomicGas": (
"DustSilicatesMassInAtomicGas",
1,
np.float32,
"snap_mass",
"Total dust mass in silicate grains in atomic gas.",
"gas",
"FMantissa9",
False,
[
"PartType0/Masses",
"PartType0/DustMassFractions",
"PartType0/SpeciesFractions",
"PartType0/ElementMassFractions",
],
True,
0,
),
"DustSilicatesMassInMolecularGas": (
"DustSilicatesMassInMolecularGas",
1,
np.float32,
"snap_mass",
"Total dust mass in silicate grains in molecular gas.",
"gas",
"FMantissa9",
False,
[
"PartType0/Masses",
"PartType0/DustMassFractions",
"PartType0/SpeciesFractions",
"PartType0/ElementMassFractions",
],
True,
0,
),
"DustSilicatesMassInColdDenseGas": (
"DustSilicatesMassInColdDenseGas",
1,
np.float32,
"snap_mass",
"Total dust mass in silicate grains in cold, dense gas.",
"gas",
"FMantissa9",
False,
[
"PartType0/Masses",
"PartType0/DustMassFractions",
"PartType0/Densities",
"PartType0/Temperatures",
],
True,
0,
),
"DustSmallGrainMass": (
"DustSmallGrainMass",
1,
np.float32,
"snap_mass",
"Total dust mass in small grains.",
"gas",
"FMantissa9",
False,
[
"PartType0/Masses",
"PartType0/DustMassFractions",
"PartType0/ElementMassFractions",
],
True,
0,
),
"DustSmallGrainMassInMolecularGas": (
"DustSmallGrainMassInMolecularGas",
1,
np.float32,
"snap_mass",
"Total dust mass in small grains in molecular gas.",
"gas",
"FMantissa9",
False,
[
"PartType0/Masses",
"PartType0/DustMassFractions",
"PartType0/SpeciesFractions",
"PartType0/ElementMassFractions",
],
True,
0,
),
"DustSmallGrainMassInColdDenseGas": (
"DustSmallGrainMassInColdDenseGas",
1,
np.float32,
"snap_mass",
"Total dust mass in small grains in cold, dense gas.",
"gas",
"FMantissa9",
False,
[
"PartType0/Masses",