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Commit fd1a061d authored by Theo Steininger's avatar Theo Steininger
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Merge branch 'imagine_on_hamx' into 'master' 

Imagine on hamx

See merge request !5
parents 6c8d5721 8cb12c47
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docker/Dockerfile
View file @ fd1a061d
......@@ -41,14 +41,9 @@ ENV HEALPIX /home/Downloads/Healpix_3.31
RUN pip install healpy
#Hammurabi
# RUN wget https://sourceforge.net/code-snapshots/svn/h/ha/hammurabicode/code/hammurabicode-code-41-trunk.zip
# RUN unzip hammurabicode-code-41-trunk.zip
# WORKDIR hammurabicode-code-41-trunk
RUN wget https://sourceforge.net/code-snapshots/svn/h/ha/hammurabicode/code/hammurabicode-code-60-trunk.zip
RUN unzip hammurabicode-code-60-trunk.zip
WORKDIR hammurabicode-code-60-trunk
COPY hammurabi_Makefile Makefile
RUN [ -r /root/.healpix/3_31_Linux/config ] && . /root/.healpix/3_31_Linux/config && make hammurabi && make clean
RUN git clone https://bitbucket.org/ricphy/hamx -b generic_makefile
WORKDIR hamx
RUN make
WORKDIR ..
#(Py)MultiNest
......@@ -101,5 +96,12 @@ WORKDIR ..
#hampy
RUN pip install jupyter pandas
#IMAGINE
RUN git clone https://gitlab.mpcdf.mpg.de/ift/IMAGINE.git -b master
WORKDIR IMAGINE
RUN python setup.py install
WORKDIR ..
docker/hammurabi_Makefile deleted 100644 → 0
View file @ 6c8d5721
#--------------------------------------------------------
#--------------------------------------------------------
#
# This is the hammurabi Makefile. The first part needs to be configured for your system.
#
# You can choose to build:
#
# hammurabi: by default, the basic hammurabi, pure C++, for constant or grid TEs and simple analytic models for CREs
# hammurabi.ne2001: including linking to the (smooth) NE2001 Fortran code using cfortran.h
# hammurabi.galprop: including both NE2001 and Galprop to simulate the CRE propagation with the hammurabi magnetic field first.
# hammurabi.debug: including all code, debug flags.
# all: builds all of these.
#
#--------------------------------------------------------
#--------------------------------------------------------
#
# Give the locations of the various libraries. Should containt include and lib subdirectories.
#
#BASE_DIR = $(HOME)/space/sw/
#HAMMURABI_HOME = $(BASE_DIR)/hammurabi/branches/mine
#GSL = $(BASE_DIR)/gsl/gsl-1.13/build/
#FFTW = $(BASE_DIR)/fftw/fftw-3.2.2/build/
#CFITSIO = $(BASE_DIR)/cfitsio/cfitsio/build/
BASE_DIR = /home/Downloads/hammurabicode-code
HAMMURABI_HOME = $(BASE_DIR)
GSL = /usr/local
FFTW = /usr/local
CFITSIO = /usr/local
#
# These are needed if you build with Galprop
#
GALPROP = $(BASE_DIR)/galprop/galprop/build
CCFITS = $(BASE_DIR)/ccfits/CCfits//build/
CLHEP = $(BASE_DIR)/clhep/clhep/build/
#
# What c++ compiler you are using?
#
CXX = g++
#
# On OSX, maybe
#CXX = g++-mp-5
#
# Compile options? 64bit system (-m64), optimization (-O2), openMP (-fopenmp), warnings (-Wall), etc.
#
CXXFLAGS = -m64 -O2 -fopenmp -Wall
#
# With OSX g++-mp-4.3
#CXXFLAGS = -fopenmp -O2 -g -fno-inline-functions -Wall -Wextra -Wno-unknown-pragmas -ansi
#
# Which Fortran compiler you are using? Only if compiling with NE2001 and/or Galprop
#
FC = gfortran
#
# On OSX, maybe
#FC = gfortran-mp-5
# For gfortran
FCFLAGS = -O2 -ffixed-form -ffixed-line-length-132 -c
#
# For ifort
#FCFLAGS =-O -extend-source -c
#
# For f77 ?
#FCFLAGS =
#
# For linking to C++ with gcc
#
LFORTFLAGS= -Df2cFortran
#
# Additional options depending on how you want to run:
#
# Use openMP. Right now, this is mandatory. (Contact
# trjaffe@gmail.com for help compiling without if for some reason you
# need it.)
LFLAGS_CUSTOM = -fopenmp
#
# OSX with gfortran-mp-4.3
#LFLAGS_CUSTOM = -fopenmp -lgcc_s.1
#
#
#
# For J. West using f77 and gcc 4.1.2?
#
#LFORTFLAGS += -L/usr/lib/gcc/x86_64-redhat-linux/3.4.6/ -lgcc -lg2c
#LFLAGS_CUSTOM += -lgcc_s
#------------------------------------------------------------
#------------------------------------------------------------
#
# From here onwards, nothing should need to be changed.
#
#------------------------------------------------------------
#------------------------------------------------------------
hammurabi.debug: CXXFLAGS=-m64 -g -Wall
hammurabi: ALL_INC = -I$(CFITSIO)/include -I$(GSL)/include -I. -I$(FFTW)/include -I$(HEALPIX)/src/cxx/$(HEALPIX_TARGET)/include/
hammurabi.ne2001: ALL_INC = -I$(CFITSIO)/include -I$(GSL)/include -I. -I$(FFTW)/include -I$(HEALPIX)/src/cxx/$(HEALPIX_TARGET)/include/
hammurabi.galprop: ALL_INC = -I$(CFITSIO)/include -I$(GALPROP)/.. -I$(GALPROP)/include/ -I$(CCFITS)/include/ -I$(CLHEP)/include -I$(GSL)/include -I. -I$(FFTW)/include -I$(HEALPIX)/src/cxx/$(HEALPIX_TARGET)/include/
hammurabi.debug: ALL_INC = -I$(CFITSIO)/include -I$(GALPROP)/.. -I$(GALPROP)/include/ -I$(CCFITS)/include/ -I$(CLHEP)/include -I$(GSL)/include -I. -I$(FFTW)/include -I$(HEALPIX)/src/cxx/$(HEALPIX_TARGET)/include/
libhamprop.a: ALL_INC = -I$(CFITSIO)/include -I$(GALPROP)/.. -I$(GALPROP)/include/ -I$(GSL)/include -I. -I$(FFTW)/include -I$(HEALPIX)/src/cxx/$(HEALPIX_TARGET)/include/
hammurabi: ALL_L = -L$(CFITSIO)/lib -L$(GSL)/lib -L$(FFTW)/lib -L$(HEALPIX)/src/cxx/$(HEALPIX_TARGET)/lib/ -L.
hammurabi.ne2001: ALL_L = -L$(CFITSIO)/lib -L$(GSL)/lib -L$(FFTW)/lib -L$(HEALPIX)/src/cxx/$(HEALPIX_TARGET)/lib/ -L.
hammurabi.galprop: ALL_L = -L$(CFITSIO)/lib -L$(GALPROP)/lib/ -L$(CCFITS)/lib/ -L$(CLHEP)/lib -L$(GSL)/lib -L$(FFTW)/lib -L$(HEALPIX)/src/cxx/$(HEALPIX_TARGET)/lib/ -L.
hammurabi.debug: ALL_L = -L$(CFITSIO)/lib -L$(GALPROP)/lib/ -L$(CCFITS)/lib/ -L$(CLHEP)/lib -L$(GSL)/lib -L$(FFTW)/lib -L$(HEALPIX)/src/cxx/$(HEALPIX_TARGET)/lib/ -L.
hammurabi : CXXFLAGS+= $(ALL_INC) -c
hammurabi.ne2001: CXXFLAGS+= $(ALL_INC) -c -DNE2001
hammurabi.galprop: CXXFLAGS+= $(ALL_INC) -c -DGALDEF_PATH=\"./GALDEF\" -DFITSDATA_PATH=\"./FITS/\" -DDATA_PATH=\"./DATA\" -DGALPROP -DNE2001
hammurabi.debug : CXXFLAGS+= $(ALL_INC) -c -DGALDEF_PATH=\"./GALDEF\" -DFITSDATA_PATH=\"./FITS/\" -DDATA_PATH=\"./DATA\" -DGALPROP -DNE2001 -g -Wall
# Turns off sanity check to avoid some circularity. See Galprop README.tess
libhamprop.a: CXXFLAGS+= $(ALL_INC) -c -DGALDEF_PATH=\"./GALDEF\" -DFITSDATA_PATH=\"./FITS/\" -DDATA_PATH=\"./DATA\" -DLIBHAMPROP -DGALPROP -DNE2001
hammurabi: LFLAGS = $(ALL_L) -lhammurabi -lhealpix_cxx -lcxxsupport -lc_utils -lfftpack -lcfitsio -lgsl -lgslcblas -lm -lfftw3 -lfftw3_omp $(LFLAGS_CUSTOM)
hammurabi.ne2001: LFLAGS = $(ALL_L) -lhammurabi -lNE2001 -lhealpix_cxx -lcxxsupport -lc_utils -lfftpack -lcfitsio -lgsl -lgslcblas -lm -lfftw3 -lfftw3_omp -lgfortran $(LFLAGS_CUSTOM)
hammurabi.debug: LFLAGS = $(ALL_L) -lhammurabi -lNE2001 -lhealpix_cxx -lcxxsupport -lc_utils -lfftpack -lcfitsio -lgsl -lgslcblas -lm -lfftw3 -lfftw3_omp -lgfortran -lgalprop -lskymap -lCCfits -lCLHEP $(LFLAGS_CUSTOM)
hammurabi.galprop: LFLAGS = $(ALL_L) -lhammurabi -lNE2001 -lhealpix_cxx -lcxxsupport -lc_utils -lfftpack -lcfitsio -lgsl -lgslcblas -lm -lfftw3 -lfftw3_omp -lgfortran -lgalprop -lskymap -lCCfits -lCLHEP $(LFLAGS_CUSTOM)
default:
make hammurabi
all:
make clean ; make hammurabi ; make clean ; make hammurabi.ne2001; make clean; make hammurabi.galprop ; make clean ; make hammurabi.debug
%.o : %.cpp
$(CXX) $(CXXFLAGS) -o $@ $<
%.o : %.cc
$(CXX) $(CXXFLAGS) -o $@ $<
%.o : %.c
$(CXX) $(CXXFLAGS) -o $@ $<
%.o : %.f
$(FC) $(FCFLAGS) -o $@ $<
class_TE_density.o: class_TE_density.cpp
$(CXX) $(CXXFLAGS) $(LFORTFLAGS) -o $@ $<
NE2001_OBJ = dmdsm.NE2001.o density.NE2001.o neclumpN.o nevoidN.o neLISM.NE2001.o
HAMMURABI_OBJ = class_Integrator.o class_List.o class_B_field2.o tess_tools.o class_TE_density.o class_CRE.o namespace_Vec_Handling.o class_Dust.o
run:
mkdir run
$(HAMMURABI_OBJ): hammurabi.h CGS_units_file.h proto*.h tess_tools.h
libNE2001.a: $(NE2001_OBJ)
ar rc $@ $(NE2001_OBJ)
ranlib $@
hammurabi: $(HAMMURABI_OBJ) libhammurabi.a run hammurabi.o
$(CXX) -o run/hammurabi hammurabi.o $(LFLAGS) $(LFORTFLAGS)
hammurabi.ne2001: $(HAMMURABI_OBJ) $(NE2001_OBJ) $(NE2001_DATA) libNE2001.a libhammurabi.a run hammurabi.o
$(CXX) -o run/hammurabi.ne2001 hammurabi.o $(LFLAGS) $(LFORTFLAGS)
hammurabi.galprop: $(HAMMURABI_OBJ) $(NE2001_OBJ) $(NE2001_DATA) libNE2001.a libhammurabi.a run hammurabi.o
$(CXX) -o run/hammurabi.galprop hammurabi.o $(LFLAGS) $(LFORTFLAGS)
hammurabi.debug: $(HAMMURABI_OBJ) $(NE2001_DATA) libNE2001.a libhammurabi.a run hammurabi.o
$(CXX) -o run/hammurabi.debug hammurabi.o $(LFLAGS) $(LFORTFLAGS)
ifeq ($(OSTYPE),darwin)
install_name_tool -change "@rpath/libCLHEP-2.3.3.1.dylib" "$(CLHEP)/lib/libCLHEP-2.3.3.1.dylib" run/hammurabi.debug
endif
print_constants: print_constants.o
$(CXX) -o run/print_constants print_constants.o
# To link in B_field to galprop, use this:
libhamprop.a: class_B_field2.o tess_tools.o namespace_Vec_Handling.o
ar cru libhamprop.a class_B_field2.o tess_tools.o namespace_Vec_Handling.o
libhammurabi.a: $(HAMMURABI_OBJ)
ar cru libhammurabi.a $(HAMMURABI_OBJ)
clean:
rm *.a *.o
test:
(cd unit_test; ./test.csh)
test_big:
(cd unit_test; ./test.csh big)
tarfile:
tar cvzf hammurabi.tgz *cpp *h Makefile *.f README hampy
unittar:
tar cvzf hammurabi_unit_test_inputs.tgz unit_test/inputs unit_test/GALDEF unit_test/FITS unit_test/negrid_n400.bin
tar cvzf hammurabi_unit_test_ref.tgz unit_test/ref unit_test/ref.big
tar cvzf hammurabi_unit_test_ref.mini.tgz unit_test/ref.mini
tar cvzf hammurabi_unit_test_ref.big.tgz unit_test/ref.big
imagine/likelihoods/ensemble_likelihood/ensemble_likelihood.py
View file @ fd1a061d
......@@ -50,14 +50,17 @@ class EnsembleLikelihood(Likelihood):
u_val = obs_val - obs_mean
# compute quantities for OAS estimator
mu = np.vdot(u_val, u_val)*weight/n
mu = np.vdot(u_val, u_val)*weight/k/n
self.logger.debug("mu: %f" % mu)
alpha = (np.einsum(u_val, [0, 1], u_val, [2, 1])**2).sum()
alpha /= k*2
# correct the volume factor: one factor comes from the internal scalar
# product and one from the trace
alpha *= weight**2
numerator = alpha + mu**2
denominator = (k + 1) * (alpha - (mu**2)/n)
numerator = (1 - 2./n)*alpha + (mu*n)**2
denominator = (k + 1 - 2./n) * (alpha - ((mu*n)**2)/n)
if denominator == 0:
rho = 1
......@@ -92,9 +95,6 @@ class EnsembleLikelihood(Likelihood):
np.einsum(u_val.conjugate(), [0, 1],
a_u_val, [2, 1])*weight)
middle = np.linalg.inv(middle)
# result_array = np.zeros(k)
# for i in xrange(k):
# c = measured_data - obs_val[i]
c = measured_data - obs_mean
# assuming that A == A^dagger, this can be shortend
......@@ -115,14 +115,14 @@ class EnsembleLikelihood(Likelihood):
second_summand_val = np.einsum(middle, [0, 1], u_a_c_val, [1])
second_summand_val = np.einsum(a_u_val, [0, 1],
second_summand_val, [0])
second_summand_val *= -1
# second_summand_val *= -1
second_summand = first_summand.copy_empty()
second_summand.val = second_summand_val
result_1 = -c.vdot(first_summand)
result_1 = c.vdot(first_summand)
result_2 = -c.vdot(second_summand)
result = result_1 + result_2
self.logger.info("Calculated (%s): %f + %f = %f" %
result = -(result_1 + result_2)
self.logger.info("Calculated (%s): -(%f + %f) = %f" %
(self.observable_name, result_1, result_2, result))
# result_array[i] = result
# total_result = result_array.mean()
......
imagine/magnetic_fields/wmap3yr_magnetic_field/wmap3yr_magnetic_field.py
View file @ fd1a061d
......@@ -8,13 +8,13 @@ class WMAP3yrMagneticField(MagneticField):
@property
def descriptor_lookup(self):
lookup = \
{'b0': ('./Galaxy/MagneticField/Regular/WMAP/b0', 'value'),
'psi0': ('./Galaxy/MagneticField/Regular/WMAP/psi0', 'value'),
'psi1': ('./Galaxy/MagneticField/Regular/WMAP/psi1', 'value'),
'chi0': ('./Galaxy/MagneticField/Regular/WMAP/chi0', 'value'),
'random_rms': ('./Galaxy/MagneticField/Random/Iso/rms', 'value'),
'random_rho': ('./Galaxy/MagneticField/Random/Anisoglob/rho',
'value')}
{'b0': ['./Galaxy/MagneticField/Regular/WMAP/b0', 'value'],
'psi0': ['./Galaxy/MagneticField/Regular/WMAP/psi0', 'value'],
'psi1': ['./Galaxy/MagneticField/Regular/WMAP/psi1', 'value'],
'chi0': ['./Galaxy/MagneticField/Regular/WMAP/chi0', 'value'],
'random_rms': ['./Galaxy/MagneticField/Random/Iso/rms', 'value'],
'random_rho': ['./Galaxy/MagneticField/Random/Anisoglob/rho',
'value']}
return lookup
def _create_field(self):
......
imagine/observers/hammurapy/hammurapy.py
View file @ fd1a061d
# -*- coding: utf-8 -*-
import abc
import os
import tempfile
import subprocess
import xml.etree.ElementTree as et
import healpy
import numpy as np
from d2o import distributed_data_object
from nifty import HPSpace
from imagine.observers.observer import Observer
from imagine.magnetic_fields.magnetic_field import MagneticField
from .observable_mixins import ObservableMixin
from .model_mixins import MagneticFieldModel
from imagine.observables import Observable
class Hammurapy(Observer):
def __init__(self, hammurabi_executable, input_directory='./input',
working_directory_base='.', nside=64):
def __init__(self, hammurabi_executable, magnetic_field_model, observables,
input_directory='./input', working_directory_base='.',
nside=64):
self.hammurabi_executable = os.path.abspath(hammurabi_executable)
if not isinstance(magnetic_field_model, MagneticFieldModel):
raise TypeError("magnetic_field_model must be an instance of the "
"MagneticField class.")
self.magnetic_field_model = magnetic_field_model
if not isinstance(observables, list):
if isinstance(observables, tuple):
observables = list(observables)
else:
observables = [observables]
for obs in observables:
if not isinstance(obs, ObservableMixin):
raise TypeError("observables must be an instance of the "
"ObservableMixin class.")
self.observables = observables
self.input_directory = os.path.abspath(input_directory)
self.working_directory_base = os.path.abspath(working_directory_base)
self.nside = int(nside)
self._hpSpace = HPSpace(nside=self.nside)
self.last_call_log = ""
@abc.abstractproperty
@property
def magnetic_field_class(self):
return MagneticField
return self.magnetic_field_model.magnetic_field_class
def _make_temp_folder(self):
prefix = os.path.join(self.working_directory_base, 'temp_hammurabi_')
......@@ -50,21 +71,6 @@ class Hammurapy(Observer):
else:
self.logger.warning('Could not delete %s' % path)
def _read_fits_file(self, path, name, nside):
map_path = os.path.join(path, name)
result_list = []
i = 0
while True:
try:
loaded_map = healpy.read_map(map_path, verbose=False,
field=i)
# loaded_map = healpy.ud_grade(loaded_map, nside_out=nside)
result_list += [loaded_map]
i += 1
except IndexError:
break
return result_list
def _call_hammurabi(self, path):
temp_process = subprocess.Popen(
[self.hammurabi_executable, 'parameters.xml'],
......@@ -72,12 +78,31 @@ class Hammurapy(Observer):
cwd=path)
self.last_call_log = temp_process.communicate()[0]
def _initialize_observable_dict(self, observable_dict, magnetic_field):
pass
def _initialize_observable_dict(self, magnetic_field):
observable_dict = {}
for observable in self.observables:
observable_dict = self._initialize_observable_dict_helper(
observable_dict, magnetic_field, observable)
return observable_dict
def _initialize_observable_dict_helper(self, observable_dict,
magnetic_field, observable):
ensemble_space = magnetic_field.domain[0]
for component in observable.component_names:
# It is important to initialize the Observables with an explicit
# value. Otherwise the d2o will not instantaneuosly be created
# (c.f. lazy object creation).
observable_dict[component] = Observable(
val=0,
domain=(ensemble_space, self._hpSpace),
distribution_strategy='equal')
return observable_dict
def _build_parameter_dict(self, parameter_dict, magnetic_field,
local_ensemble_index):
parameter_dict.update(self.magnetic_field_model.parameter_dict)
parameter_dict.update(
{('./Interface/fe_grid', 'read'): '1',
('./Interface/fe_grid', 'filename'):
......@@ -107,7 +132,7 @@ class Hammurapy(Observer):
parameter_dict.update(
{('./Grid/Integration/nside', 'value'): self.nside})
def _write_parameter_dict(self, parameter_dict, working_directory):
def _write_parameter_file(self, working_directory):
# load the default xml
try:
default_parameters_xml = os.path.join(self.input_directory,
......@@ -129,8 +154,78 @@ class Hammurapy(Observer):
'parameters.xml')
tree.write(parameters_file_path)
def _write_parameter_xml(self, magnetic_field, local_ensemble_index,
working_directory):
# load the default xml
try:
default_parameters_xml = os.path.join(self.input_directory,
'default_parameters.xml')
tree = et.parse(default_parameters_xml)
except IOError:
import imagine
module_path = os.path.split(
imagine.observers.hammurapy.__file__)[0]
default_parameters_xml = os.path.join(
module_path, 'input/default_parameters.xml')
tree = et.parse(default_parameters_xml)
root = tree.getroot()
# modify the default_parameters.xml
custom_parameters = [
['./Grid/Integration/shell/auto/nside_min', 'value',
self.nside],
['./Interface/fe_grid', 'read', '1'],
['./Interface/fe_grid', 'filename',
os.path.join(self.input_directory, 'fe_grid.bin')]
]
# access the magnetic-field's random-eed d2o directly, since we
# know that the distribution strategy is the same for the
# randam samples and the magnetic field itself
random_seed = magnetic_field.random_seed.data[local_ensemble_index]
custom_parameters += [['./Galaxy/MagneticField/Random', 'seed',
random_seed]]
for key, value in magnetic_field.parameters.iteritems():
desc = magnetic_field.descriptor_lookup[key]
custom_parameters += [desc + [value]]
# set up grid parameters
grid_space = magnetic_field.domain[1]
lx, ly, lz = \
np.array(grid_space.shape)*np.array(grid_space.distances)/2.
nx, ny, nz = grid_space.shape
custom_parameters += [['./Grid/Box/x_min', 'value', -lx],
['./Grid/Box/x_max', 'value', lx],
['./Grid/Box/y_min', 'value', -ly],
['./Grid/Box/y_max', 'value', ly],
['./Grid/Box/z_min', 'value', -lz],
['./Grid/Box/z_max', 'value', lz],
['./Grid/Box/nx', 'value', nx],
['./Grid/Box/ny', 'value', ny],
['./Grid/Box/nz', 'value', nz]]
for parameter in custom_parameters:
root.find(parameter[0]).set(parameter[1], str(parameter[2]))
self.magnetic_field_model.update_parameter_xml(root)
for observable in self.observables:
observable.update_parameter_xml(root)
parameters_file_path = os.path.join(working_directory,
'parameters.xml')
tree.write(parameters_file_path)
def _fill_observable_dict(self, observable_dict, working_directory,
ensemble_index):
local_ensemble_index):
for observable in self.observables:
observable.fill_observable_dict(
observable_dict=observable_dict,
working_directory=working_directory,
local_ensemble_index=local_ensemble_index,
nside=self.nside)
return observable_dict
def __call__(self, magnetic_field):
......@@ -139,9 +234,8 @@ class Hammurapy(Observer):
raise ValueError("Given magnetic field is not a subclass of" +
" %s" % str(self.magnetic_field_class))
observable_dict = {}
self._initialize_observable_dict(observable_dict=observable_dict,
magnetic_field=magnetic_field)
observable_dict = self._initialize_observable_dict(
magnetic_field=magnetic_field)
# iterate over ensemble and put result into result_observable
# get the local shape by creating a dummy d2o
......@@ -150,8 +244,6 @@ class Hammurapy(Observer):
distribution_strategy='equal',
dtype=np.float)
parameter_dict = {}
local_length = dummy.distributor.local_length
for local_ensemble_index in xrange(local_length):
self.logger.debug("Processing local_ensemble_index %i." %
......@@ -159,13 +251,10 @@ class Hammurapy(Observer):
# create a temporary folder
working_directory = self._make_temp_folder()
self._build_parameter_dict(
parameter_dict=parameter_dict,
self._write_parameter_xml(
magnetic_field=magnetic_field,
local_ensemble_index=local_ensemble_index)
self._write_parameter_dict(parameter_dict=parameter_dict,
working_directory=working_directory)
local_ensemble_index=local_ensemble_index,
working_directory=working_directory)
# call hammurabi
self._call_hammurabi(working_directory)
......@@ -180,6 +269,7 @@ class Hammurapy(Observer):
self.last_call_log)
raise
finally:
self._remove_folder(working_directory)
pass
#self._remove_folder(working_directory)
return observable_dict
imagine/observers/hammurapy/input/default_parameters.xml
View file @ fd1a061d
<?xml version="1.0"?>
<!-- FULL PARAMETER-SET FOR ALL MODULES -->
<!-- "cue" acts as switches for usage -->
<!-- author, Jiaxin Wang -->
<!-- email, jiwang@sissa.it -->
<!-- "cue", switches for usage -->
<root>
<!-- final output .fits maps -->
<Output>
<!-- Dispersion Measure -->
<DM cue="0" filename="dm.fits"/>
<!-- Synchrotron Emission -->
<Sync cue="0" filename="sync.fits"/>
<!-- Faraday Depth -->
<Faraday cue="0" filename="fd.fits"/>
<!-- <DM cue="1" filename="dm.fits"/> -->
<!-- synchrotron dmission -->
<!-- frequency @ GHz -->
<!-- <Sync cue="1" freq="23" filename="iqu_sync_23.fits"/> -->
<!-- <Sync cue="1" freq="2.4" filename="iqu_sync_2.4.fits"/> -->
<!-- Faraday depth -->
<!-- <Faraday cue="1" filename="fd.fits"/> -->
</Output>
<!-- INTERACTIVE IN/OUTPUT -->
<!-- physical field grid in/out -->
<!-- resolution defined in './Grid/Box' -->
<!-- CRE field resolution defined in './CRE/Numeric' -->
<Interface>
<!-- RESOLUTION DEFINED IN './Grid/Box' -->
<!-- regular magnetic field -->
<breg_grid read="0" write="0" filename="breg.bin"/>
<!-- turbulent magnetic field -->
......@@ -23,13 +29,12 @@
<fe_grid read="0" write="0" filename="ymw16.bin"/>
<!-- turbulent free electron field -->
<fernd_grid read="0" write="0" filename="fernd.bin"/>
<!-- cosmic ray electron -->
<!-- cosmic ray electron field -->
<cre_grid read="0" write="0" filename="cre.bin"/>
</Interface>
<!-- HAMMURABI GRID -->
<Grid type="3D" ec_frame="0">
<!-- ec_frame offers a local simulation timesaving scheme -->
<!-- main field grid -->
<Grid type="3D">
<SunPosition>