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# Copyright (c) 2016-2017 Weitian LI <weitian@aaronly.me>
# MIT license
"""
Diffuse Galactic synchrotron emission (unpolarized) simulations.
"""
import os
import logging
import numpy as np
import healpy as hp
from ..share import CONFIGS
from ..sky import get_sky
logger = logging.getLogger(__name__)
class Synchrotron:
"""
Simulate the diffuse Galactic synchrotron emission based on an
existing template.
Parameters
----------
configs : `~ConfigManager`
An `ConfigManager` object contains default and user configurations.
For more details, see the example config specification.
Attributes
----------
sky : `~SkyBase`
The sky instance to deal with the simulation sky as well as the
output map.
References
----------
???
"""
# Component name
compID = "galactic/synchrotron"
name = "Galactic synchrotron (unpolarized)"
def __init__(self, configs=CONFIGS):
self.configs = configs
self._set_configs()
self.sky = get_sky(configs)
self.sky.add_header("CompID", self.compID, "Emission component ID")
self.sky.add_header("CompName", self.name, "Emission component")
self.sky.add_header("BUNIT", "K", "[Kelvin] Data unit")
self.sky.creator = __name__
def _set_configs(self):
"""
Load the configs and set the corresponding class attributes.
"""
comp = self.compID
self.template_path = self.configs.get_path(comp+"/template")
self.template_freq = self.configs.getn(comp+"/template_freq")
self.indexmap_path = self.configs.get_path(comp+"/indexmap")
self.add_smallscales = self.configs.getn(comp+"/add_smallscales")
self.smallscales_added = False
self.lmin = self.configs.getn(comp+"/lmin")
self.lmax = self.configs.getn(comp+"/lmax")
self.prefix = self.configs.getn(comp+"/prefix")
self.output_dir = self.configs.get_path(comp+"/output_dir")
# output
self.frequencies = self.configs.frequencies # [MHz]
self.filename_pattern = self.configs.getn("output/filename_pattern")
self.clobber = self.configs.getn("output/clobber")
#
logger.info("Loaded and setup configurations")
def _load_maps(self):
"""Load the template map and spectral index map."""
logger.info("Loading template map ...")
self.template = self.sky.open(self.template_path)
logger.info("Loading spectral index map ...")
self.indexmap = self.sky.open(self.indexmap_path)
def _add_smallscales(self):
"""
Add fluctuations on small scales to the template map.
NOTE:
Only when the input template is a HEALPix map, this function
will be applied to add the small-scale fluctuations, which assuming
a angular power spectrum model.
XXX/TODO:
* Support using different models.
* This should be extensible/plug-able, e.g., a separate module
and allow easily add new models for use.
References
----------
[1] M. Remazeilles et al. 2015, MNRAS, 451, 4311-4327
"An improved source-subtracted and destriped 408-MHz all-sky map"
Sec. 4.2: Small-scale fluctuations
"""
if (not self.add_smallscales) or (self.smallscales_added):
return
if self.template.type_ != "healpix":
logger.warning("Input template map is NOT a HEALPix map; " +
"skip adding small-scale fluctuations!")
return
# Parameters to extrapolate the angular power spectrum
gamma = -2.703 # index of the power spectrum between l [30, 90]
sigma_tp = 56 # original beam resolution of the template [ arcmin ]
alpha = 0.0599
beta = 0.782
# angular power spectrum of the Gaussian random field
ell = np.arange(self.lmax+1).astype(np.int)
cl = np.zeros(ell.shape)
ell_idx = ell >= self.lmin
cl[ell_idx] = (ell[ell_idx] ** gamma *
1.0 - np.exp(-ell[ell_idx]**2 * sigma_tp**2))
cl[ell < self.lmin] = cl[self.lmin]
# generate a realization of the Gaussian random field
gss = hp.synfast(cls=cl, nside=self.template.nside, new=True)
# whiten the Gaussian random field
gss = (gss - gss.mean()) / gss.std()
hpmap_smallscales = alpha * gss * self.template.data**beta
self.template += hpmap_smallscales
logger.info("Added small-scale fluctuations to template map")
def _outfilepath(self, frequency, **kwargs):
"""
Generate the path/filename to the output file for writing
the simulate sky images.
Parameters
----------
frequency : float
The frequency of the output sky image.
Unit: [MHz]
Returns
-------
filepath : str
The generated filepath for the output sky file.
"""
filename = self.filename_pattern.format(
prefix=self.prefix, frequency=frequency, **kwargs)
filepath = os.path.join(self.output_dir, filename)
return filepath
def preprocess(self):
"""
Perform the preparation procedures for the final simulations.
Attributes
----------
_preprocessed : bool
This attribute presents and is ``True`` after the preparation
procedures are performed, which indicates that it is ready to
do the subsequent simulations.
"""
if hasattr(self, "_preprocessed") and self._preprocessed:
return
logger.info("{name}: preprocessing ...".format(name=self.name))
self._load_maps()
self._add_smallscales()
self._preprocessed = True
def simulate_frequency(self, frequency):
"""
Simulate the emission at requested lower frequency by
extrapolating the template map using the power-law model and
the spectral index map.
Parameters
----------
frequency : float
The frequency where to simulate the radio emission.
Unit: [MHz]
Returns
-------
sky : `~SkyBase`
The simulated sky image as a new sky instance.
"""
logger.info("Simulating {name} map at {freq:.2f} [MHz] ...".format(
name=self.name, freq=frequency))
sky = self.sky.copy()
sky.frequency = frequency
ff = frequency / self.template_freq
sky.data = self.template * ff ** (-np.abs(self.indexmap))
logger.info("Done simulate map at %.2f [MHz]." % frequency)
return sky
def simulate(self, frequencies=None):
"""
Simulate the synchrotron maps.
Parameters
----------
frequencies : float, or list[float]
The frequencies where to simulate the foreground map.
Unit: [MHz]
Default: None (i.e., use ``self.frequencies``)
Returns
-------
skyfiles : list[str]
List of the filepath to the written sky files
"""
if frequencies is None:
frequencies = self.frequencies
else:
frequencies = np.array(frequencies, ndmin=1)
logger.info("Simulating {name} ...".format(name=self.name))
skyfiles = []
for freq in frequencies:
sky = self.simulate_frequency(freq)
outfile = self._outfilepath(frequency=freq)
sky.write(outfile)
skyfiles.append(outfile)
logger.info("Done simulate {name}!".format(name=self.name))
return skyfiles
def postprocess(self):
"""Perform the post-simulation operations before the end."""
logger.info("{name}: postprocessing ...".format(name=self.name))
logger.info("^_^ nothing to do :-)")
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