add galactica import scripts

This commit is contained in:
Noe Brucy
2020-12-14 10:20:41 +01:00
parent 7f7216abf6
commit 1a7b33f662
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
# This file is part of the 'astrophysix' Python package.
#
# Copyright © Commissariat a l'Energie Atomique et aux Energies Alternatives (CEA)
#
# FREE SOFTWARE LICENCING
# -----------------------
# This software is governed by the CeCILL license under French law and abiding by the rules of distribution of free
# software. You can use, modify and/or redistribute the software under the terms of the CeCILL license as circulated by
# CEA, CNRS and INRIA at the following URL: "http://www.cecill.info". As a counterpart to the access to the source code
# and rights to copy, modify and redistribute granted by the license, users are provided only with a limited warranty
# and the software's author, the holder of the economic rights, and the successive licensors have only limited
# liability. In this respect, the user's attention is drawn to the risks associated with loading, using, modifying
# and/or developing or reproducing the software by the user in light of its specific status of free software, that may
# mean that it is complicated to manipulate, and that also therefore means that it is reserved for developers and
# experienced professionals having in-depth computer knowledge. Users are therefore encouraged to load and test the
# software's suitability as regards their requirements in conditions enabling the security of their systems and/or data
# to be ensured and, more generally, to use and operate it in the same conditions as regards security. The fact that
# you are presently reading this means that you have had knowledge of the CeCILL license and that you accept its terms.
#
#
# COMMERCIAL SOFTWARE LICENCING
# -----------------------------
# You can obtain this software from CEA under other licencing terms for commercial purposes. For this you will need to
# negotiate a specific contract with a legal representative of CEA.
#
from __future__ import print_function, unicode_literals
import os
import numpy as N
import h5py
from astrophysix.simdm import SimulationStudy, Project, ProjectCategory
from astrophysix.simdm.experiment import (
Simulation,
AppliedAlgorithm,
ParameterSetting,
ParameterVisibility,
ResolvedPhysicalProcess,
)
from astrophysix.simdm.protocol import (
SimulationCode,
AlgoType,
Algorithm,
InputParameter,
PhysicalProcess,
Physics,
)
from astrophysix.simdm.results import GenericResult, Snapshot
from astrophysix.simdm.datafiles import Datafile, PlotType, PlotInfo
from astrophysix.utils.file import FileType
from astrophysix import units as U
from plotter import *
import datetime
from mpl_toolkits.axes_grid1 import AxesGrid, Grid
from matplotlib import gridspec
P.rcParams["text.usetex"] = False
pp_params = default_params()
pp_params.input.nml_filename = "disk.nml"
# pp_params.out.interactive = True
pp_params.pymses.map_size = 2048
pp_params.pymses.zoom = 4
pp_params.pymses.filter = False
pp_params.pymses.variables = ["rho", "vel", "P", "g"]
pp_params.pymses.multiprocessing = True
pp_params.process.verbose = True
pp_params.disk.enable = True
pp_params.disk.nb_bin = 100
pp_params.pdf.nb_bin = 100
pp_params.process.num_process = 10
in_dir = "/drf/projets/alfven-data/nbrucy/simus/fragdisk"
out_dir = "/dsm/anais/storageA/nbrucy/visus/fragdisk/mnras"
nml_key = "cloud_params/beta_cool"
# --- Runs -----
pp_params.astrophysix.simu_fmt = "beta{nml[cloud_params/beta_cool]:g}_{tag:.8}"
pp_params.astrophysix.descr_fmt = (
"Group {tag:.8}, $\\beta$ = {nml[cloud_params/beta_cool]}"
)
pl_orp = Plotter(
in_dir,
filter_name="104_beta4_jr13",
in_nums="last",
path_out=out_dir,
pp_params=pp_params,
)
orp = cst.Unit.create_unit("ORP", base_unit=pl_orp.comp.info["unit_time"] * 0.79)
# JR13_TIC
runs = "*_jr13"
pl_jr13 = Plotter(
in_dir,
filter_name=runs,
in_nums="all",
sort_run_by=nml_key,
path_out=out_dir,
tag="jr13_tic_mnras",
pp_params=pp_params,
unit_time=orp,
)
print("JR13_TIC defined")
# JR12_TIC
runs_12 = "0[0-9][0-9]_beta*_jr12"
pl_jr12_tic = Plotter(
in_dir,
filter_name=runs_12,
in_nums="all",
sort_run_by=nml_key,
filter_nml=("cloud_params", "!=", 7),
path_out=out_dir,
tag="jr12_tic_mnras",
pp_params=pp_params,
unit_time=orp,
)
pp_params.astrophysix.simu_fmt = "beta{nml[cloud_params/beta_cool]:g}_{tag:.4}"
pp_params.astrophysix.descr_fmt = (
"Group {tag:.4}, $\\beta$ = {nml[cloud_params/beta_cool]}"
)
print("JR12_TIC defined")
# JR12
in_dir_conv = "/drf/projets/alfven-data/nbrucy/simus/conv_disk"
out_dir_conv = "/dsm/anais/storageA/nbrucy/visus/conv_disk"
runs = "[7-8][0-9]_beta*_j*"
pl_jr12 = Plotter(
in_dir_conv,
filter_name=runs,
in_nums="all",
sort_run_by=nml_key,
path_out=out_dir,
tag="jr12_mnras",
pp_params=pp_params,
unit_time=orp,
)
print("JR12 defined")
# JR11
runs = "*beta*_jr11"
pl_l11 = Plotter(
in_dir_conv,
filter_name=runs,
sort_run_by=nml_key,
filter_nml=("cloud_params/beta_cool", ">", 3),
path_out=out_dir_conv,
tag="jr11_mnras",
pp_params=pp_params,
unit_time=orp,
)
print("JR11 defined")
pls = [pl_l11, pl_jr12, pl_jr12_tic, pl_jr13]
# ----------------------------------------------- Project creation --------------------------------------------------- #
# Available project categories are :
# - ProjectCategory.SolarMHD
# - ProjectCategory.PlanetaryAtmospheres
# - ProjectCategory.StarPlanetInteractions
# - ProjectCategory.StarFormation
# - ProjectCategory.Supernovae
# - ProjectCategory.GalaxyFormation
# - ProjectCategory.GalaxyMergers
# - ProjectCategory.Cosmology
proj = Project(
category=ProjectCategory.StarPlanetInteractions,
project_title="Fragdisk",
alias="FRAGDISK",
short_description="Fragmentation of self-gravitating disks",
general_description="""
Study of the fragmentation of self-gravitating disks. See Brucy & Hennebelle 2021 (submitted) for more details.
This database is currently being completed.
Abstract:
Self-gravitating disks are believed to play an important role in astrophysics in particular regarding the star and planet formation process.
In this context, disks subject to an idealized cooling process, characterized by a cooling timescale β expressed in unit of orbital timescale,
have been extensively studied. We take advantage of the Riemann solver and the 3D Godunov scheme implemented in the code Ramses
to perform high resolution simulations, complementing previous studies that have used Smoothed Particle Hydrodynamics (SPH) or 2D grid codes.
""",
data_description="""The data available for this project is the underlying data of the article Brucy & Hennebelle 2021.
The data is not already fully uploaded. 3D datacube extraction on demand is planned""",
directory_path="~nbrucy/simus/fragdisk",
)
print(proj)
# -------------------------------------------------------------------------------------------------------------------- #
# -------------------------------------------------------------------------------------------------------------------- #
redo = True
for pl in pls:
pl.pp_params.process.verbose = True
pl.comp.pp_params.process.verbose = True
for run in pl.runs:
simu = pl.simulations[run]
proj.simulations.add(simu)
# -------------------------------------------------------------------------------------------------------------------- #
for pl in pls:
select = {"time": 4.5}
pl.coldens(
"z",
overwrite=redo,
overwrite_dep=False,
unit_space=cst.cm,
unit_time=orp,
nml_key="cloud_params/beta_cool",
vmin=1e-2,
vmax=1e2,
put_units=False,
select=select,
label=r"$\Sigma$",
)
pl.coldens(
"y",
overwrite=redo,
overwrite_dep=False,
unit_space=cst.cm,
unit_time=orp,
nml_key="cloud_params/beta_cool",
vmin=1e-2,
vmax=1e2,
put_units=False,
select=select,
label=r"$\Sigma$",
)
pl.slice_rho(
"z",
overwrite=redo,
overwrite_dep=False,
unit_space=cst.cm,
unit_time=orp,
nml_key="cloud_params/beta_cool",
put_units=False,
select=select,
label=r"$\rho$",
)
pl.slice_rho(
"y",
overwrite=redo,
overwrite_dep=False,
unit_space=cst.cm,
unit_time=orp,
nml_key="cloud_params/beta_cool",
put_units=False,
select=select,
label=r"$\rho$",
)
pl.slice_P(
"z",
overwrite=redo,
overwrite_dep=False,
unit_space=cst.cm,
unit_time=orp,
nml_key="cloud_params/beta_cool",
put_units=False,
select=select,
label=r"$P$",
)
pl.pdf_coldens(
"z",
overwrite=redo,
overwrite_dep=False,
unit_time=orp,
nml_key="cloud_params/beta_cool",
label=r"$\log(\sigma)$",
kind="step",
color="k",
select=select,
)
# -------------------------------------------------------------------------------------------------------------------- #
# Create HDF5 files
for simu in proj.simulations:
for snap in simu.snapshots:
for df in snap.datafiles:
name = df[FileType.JPEG_FILE].filename
name = os.path.splitext(name)[0] + ".h5"
h5 = h5py.File(out_dir + "/" + name, "w")
p = h5.create_group("plot")
df.plot_info.hsp_save_to_h5(p)
h5.close()
df[FileType.HDF5_FILE] = out_dir + "/" + name
for param in ramses.input_parameters:
param.key = os.path.basename(param.key)
study = SimulationStudy(project=proj)
for sim in study.project.simulations:
for snap in sim.snapshots:
snap.time = (snap.time[0], cst.year)
proj.galactica_validity_check()
study.save_HDF5(out_dir + "/fragdisk_study.h5")
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
# This file is part of the 'astrophysix' Python package.
#
# Copyright © Commissariat a l'Energie Atomique et aux Energies Alternatives (CEA)
#
# FREE SOFTWARE LICENCING
# -----------------------
# This software is governed by the CeCILL license under French law and abiding by the rules of distribution of free
# software. You can use, modify and/or redistribute the software under the terms of the CeCILL license as circulated by
# CEA, CNRS and INRIA at the following URL: "http://www.cecill.info". As a counterpart to the access to the source code
# and rights to copy, modify and redistribute granted by the license, users are provided only with a limited warranty
# and the software's author, the holder of the economic rights, and the successive licensors have only limited
# liability. In this respect, the user's attention is drawn to the risks associated with loading, using, modifying
# and/or developing or reproducing the software by the user in light of its specific status of free software, that may
# mean that it is complicated to manipulate, and that also therefore means that it is reserved for developers and
# experienced professionals having in-depth computer knowledge. Users are therefore encouraged to load and test the
# software's suitability as regards their requirements in conditions enabling the security of their systems and/or data
# to be ensured and, more generally, to use and operate it in the same conditions as regards security. The fact that
# you are presently reading this means that you have had knowledge of the CeCILL license and that you accept its terms.
#
#
# COMMERCIAL SOFTWARE LICENCING
# -----------------------------
# You can obtain this software from CEA under other licencing terms for commercial purposes. For this you will need to
# negotiate a specific contract with a legal representative of CEA.
#
from __future__ import print_function, unicode_literals
import os
import numpy as N
from astrophysix.simdm import SimulationStudy, Project, ProjectCategory
from astrophysix.simdm.experiment import (
Simulation,
AppliedAlgorithm,
ParameterSetting,
ParameterVisibility,
ResolvedPhysicalProcess,
)
from astrophysix.simdm.protocol import (
SimulationCode,
AlgoType,
Algorithm,
InputParameter,
PhysicalProcess,
Physics,
)
from astrophysix.simdm.results import GenericResult, Snapshot
from astrophysix.simdm.datafiles import Datafile, PlotType, PlotInfo
from astrophysix.utils.file import FileType
from astrophysix import units as U
# ----------------------------------------------- Project creation --------------------------------------------------- #
# Available project categories are :
# - ProjectCategory.SolarMHD
# - ProjectCategory.PlanetaryAtmospheres
# - ProjectCategory.StarPlanetInteractions
# - ProjectCategory.StarFormation
# - ProjectCategory.Supernovae
# - ProjectCategory.GalaxyFormation
# - ProjectCategory.GalaxyMergers
# - ProjectCategory.Cosmology
proj = Project(
category=ProjectCategory.StarFormation,
project_title="Ismfeed",
alias="ismfeed",
short_description="Impact of feedback and turbulence on star formation",
general_description="""Impact of feedback and turbulence on star formation. The simulation presented here are described in Brucy et al. 2020, ApJL, L38""",
data_description="The data available in this project...",
directory_path="~nbrucy/simus/ismfeed",
)
print(proj)
# -------------------------------------------------------------------------------------------------------------------- #
# --------------------------------------- Simulation code definition ------------------------------------------------- #
ramses = SimulationCode(
name="Ramses 3 (MHD)",
code_name="Ramses",
code_version="3.10.1",
alias="RAMSES_3",
url="https://www.ics.uzh.ch/~teyssier/ramses/RAMSES.html",
description="Ramses MHD code",
)
# => Add algorithms : available algorithm types are :
# - AlgoType.AdaptiveMeshRefinement
# - AlgoType.VoronoiMovingMesh
# - AlgoType.SmoothParticleHydrodynamics
# - AlgoType.Godunov
# - AlgoType.PoissonMultigrid
# - AlgoType.PoissonConjugateGradient
# - AlgoType.ParticleMesh
# - AlgoType.FriendOfFriend
# - AlgoType.HLLCRiemann
# - AlgoType.RayTracer
# amr = ramses.algorithms.add(Algorithm(algo_type=AlgoType.AdaptiveMeshRefinement, description="AMR"))
ramses.algorithms.add(
Algorithm(algo_type=AlgoType.Godunov, description="Godunov scheme")
)
ramses.algorithms.add(
Algorithm(algo_type=AlgoType.HLLCRiemann, description="HLLC Riemann solver")
)
ramses.algorithms.add(
Algorithm(
algo_type=AlgoType.PoissonMultigrid, description="Multigrid Poisson solver"
)
)
ramses.algorithms.add(
Algorithm(algo_type=AlgoType.ParticleMesh, description="PM solver")
)
# => Add input parameters
ramses.input_parameters.add(
InputParameter(
key="amr_params/levelmin",
name="Lmin",
description="min. level of AMR refinement",
)
)
ramses.input_parameters.add(
InputParameter(
key="amr_params/levelmax",
name="Lmax",
description="max. level of AMR refinement",
)
)
ramses.input_parameters.add(
InputParameter(
key="turb_params/turb_rms", name="f_rms", description="Amplitude of the driving"
)
)
ramses.input_parameters.add(
InputParameter(
key="cloud_params/dens0", name="n_0", description="Midplane density in cm**-3"
)
)
ramses.input_parameters.add(
InputParameter(
key="cloud_params/bx_bound",
name="bx_bound",
description="imposed magnetic field at the x boundary (1 implies that the magnetic pressure is equal to thermal pressure in WNM, which corresponds to about 5muG)",
)
)
# => Add physical processes : available physics are :
# - Physics.SelfGravity
# - Physics.Hydrodynamics
# - Physics.MHD
# - Physics.StarFormation
# - Physics.SupernovaeFeedback
# - Physics.AGNFeedback
# - Physics.MolecularCooling
ramses.physical_processes.add(
PhysicalProcess(
physics=Physics.StarFormation,
description="Star Formation is triggered when density overpass",
)
)
ramses.physical_processes.add(
PhysicalProcess(
physics=Physics.MHD, description="Magneto-hydrodynamical equations are solved"
)
)
ramses.physical_processes.add(
PhysicalProcess(physics=Physics.SelfGravity, description="Self-Gravity is applied.")
)
ramses.physical_processes.add(
PhysicalProcess(physics=Physics.SupernovaeFeedback, description="SN feedback")
)
# -------------------------------------------------------------------------------------------------------------------- #
# -------------------------------------------- Simulation setup ------------------------------------------------------ #
simu = Simulation(
simu_code=ramses,
name="Noturb_1",
alias="noturb_1",
description="Simulation without turbulence",
directory_path="~nbrucy/simus/turb/",
)
proj.simulations.add(simu)
# Add applied algorithms implementation details. Warning : corresponding algorithms must have been added in the 'ramses'
# simulation code.
# simu.applied_algorithms.add(AppliedAlgorithm(algorithm=amr, details="My AMR implementation [Teyssier 2002]"))
# simu.applied_algorithms.add(AppliedAlgorithm(algorithm=ramses.algorithms[AlgoType.HLLCRiemann.name],
# details="My Riemann solver implementation [Teyssier 2002]"))
# Add parameter setting. Warning : corresponding input parameter must have been added in the 'ramses' simulation code.
# Available parameter visibility options are :
# - ParameterVisibility.NOT_DISPLAYED
# - ParameterVisibility.ADVANCED_DISPLAY
# - ParameterVisibility.BASIC_DISPLAY
simu.parameter_settings.add(
ParameterSetting(
input_param=ramses.input_parameters["levelmin"],
value=8,
visibility=ParameterVisibility.BASIC_DISPLAY,
)
)
simu.parameter_settings.add(
ParameterSetting(
input_param=lmax, value=12, visibility=ParameterVisibility.BASIC_DISPLAY
)
)
# Add resolved physical process implementation details. Warning : corresponding physical process must have been added to
# the 'ramses' simulation code
simu.resolved_physics.add(
ResolvedPhysicalProcess(
physics=ramses.physical_processes[Physics.StarFormation.name],
details="Star formation specific implementation",
)
)
simu.resolved_physics.add(
ResolvedPhysicalProcess(
physics=grav, details="self-gravity specific implementation"
)
)
# -------------------------------------------------------------------------------------------------------------------- #
# -------------------------------------- Simulation generic result and snapshots ------------------------------------- #
# Generic result
gres = GenericResult(
name="Key result 1 !",
description="My description",
directory_path="/my/path/to/result",
)
simu.generic_results.add(gres)
# Simulation snapshot
# In one-line
sn = simu.snapshots.add(
Snapshot(
name="My best snapshot !",
description="My first snapshot description",
time=(125, U.kyr),
physical_size=(250.0, U.kpc),
directory_path="/path/to/snapshot1",
data_reference="OUTPUT_00056",
)
)
# Or create snapshot, then add it to the simulation
sn2 = Snapshot(
name="My second best snapshot !",
description="My second snapshot description",
time=(0.26, U.Myr),
physical_size=(0.25, U.Mpc),
directory_path="/path/to/snapshot2",
data_reference="OUTPUT_00158",
)
simu.snapshots.add(sn2)
# -------------------------------------------------------------------------------------------------------------------- #
# ---------------------------------------------------- Result datafiles ---------------------------------------------- #
# Datafile creation
imf_df = sn.datafiles.add(
Datafile(
name="Initial mass function plot",
description="This is my plot detailed description",
)
)
# Add attached files to a datafile (1 per file type). Available file types are :
# - FileType.HDF5_FILE
# - FileType.PNG_FILE
# - FileType.JPEG_FILE
# - FileType.FITS_FILE
# - FileType.TARGZ_FILE
# - FileType.PICKLE_FILE
# - FileType.JSON_FILE
# - FileType.CSV_FILE
# - FileType.ASCII_FILE
imf_df[FileType.PNG_FILE] = os.path.join(
"/data", "io", "datafiles", "plot_image_IMF.png"
)
imf_df[FileType.JPEG_FILE] = os.path.join(
"/data", "io", "datafiles", "plot_with_legend.jpg"
)
imf_df[FileType.FITS_FILE] = os.path.join(
"/data", "io", "datafiles", "cassiopea_A_0.5-1.5keV.fits"
)
imf_df[FileType.TARGZ_FILE] = os.path.join("/data", "io", "datafiles", "archive.tar.gz")
imf_df[FileType.JSON_FILE] = os.path.join(
"/data", "io", "datafiles", "test_header_249.json"
)
imf_df[FileType.ASCII_FILE] = os.path.join("/data", "io", "datafiles", "abstract.txt")
imf_df[FileType.HDF5_FILE] = os.path.join("/data", "io", "HDF5", "study.h5")
imf_df[FileType.PICKLE_FILE] = os.path.join(
"/data", "io", "datafiles", "dict_saved.pkl"
)
# Datafile plot information (for plot future updates and online interactive visualisation on Galactica web pages).
# Available plot types are :
# - LINE_PLOT
# - SCATTER_PLOT
# - HISTOGRAM
# - HISTOGRAM_2D
# - IMAGE
# - MAP_2D
imf_df.plot_info = PlotInfo(
plot_type=PlotType.LINE_PLOT,
xaxis_values=N.array([10.0, 20.0, 30.0, 40.0, 50.0]),
yaxis_values=N.array([1.256, 2.456, 3.921, 4.327, 5.159]),
xaxis_log_scale=False,
yaxis_log_scale=False,
xaxis_label="Mass",
yaxis_label="Probability",
xaxis_unit=U.Msun,
plot_title="Initial mass function",
yaxis_unit=U.Mpc,
)
# -------------------------------------------------------------------------------------------------------------------- #
# Save study in HDF5 file
study = SimulationStudy(project=proj)
study.save_HDF5("./frig_study.h5")
# Eventually reload it from HDF5 file to edit its content
# study = SimulationStudy.load_HDF5("./frig_study.h5")