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cosmic_dustbox
Commit 0d537b05 authored by Martin Glatzle's avatar Martin Glatzle
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cosmic_dustbox/gpop.py deleted 100644 → 0
View file @ 28b4f2e2
import astropy.units as _u
import numpy as _numpy
import warnings as _warnings
import os as _os
from scipy.interpolate import interp1d
from scipy import integrate
import sys
Path = _os.path.dirname(_os.path.dirname(_os.path.realpath(__file__))) + \
'//Solver//'
sys.path.insert(0, Path)
import sdist as sd
import GrainSpecies as gs
###############################################################################
###############################################################################
class Dp(object):
def __init__(self, en):
self.en = en
return
def Sigma_abs_E(en):
sizes = _np.logspace(self.sizeMin, self.sizeMax,
num=10000)
def func1(sizes):
if issubclass(self.__class__, sd.SizeDist):
dist_gr = self.__class__(sizes).sdist_gr
dist_sil = self.__class__(sizes).sdist_sil
return dist_gr, dist_sil
def func2(sizes):
sigma_cr = gs.SpGraphite.Sigma_abs(en, sizes)[0]
sigma_sl = gs.SpAsil.Sigma_abs(en, sizes)[0]
return sigma_cr, sigma_sl
f1_gr = interp1d(sizes, func1(sizes)[0], kind='linear')
f2_sl = interp1d(sizes, func1(sizes)[1], kind='linear')
f3_gr = interp1d(sizes, func2(sizes)[0], kind='linear')
f4_sl = interp1d(sizes, func2(sizes)[1], kind='linear')
Integ1 =integrate.quad(f1_gr(Sizes) * f3_gr(Sizes),self.sizeMin,
self.sizeMax)
Integ2 = integrate.quad(f1_gr(Sizes), self.sizeMin,self.sizeMax)
Integ3 = integrate.quad(f2_sl(Sizes) * f4_sl(Sizes),self.sizeMin,
self.sizeMax)
Integ4 = integrate.quad(f2_sl(Sizes), self.sizeMin,self.sizeMax)
sigma_abs_1 = Integ1/Integ2
sigma_abs_2 = Integ3/Integ4
sigma_abs_E = sigma_abs_1 + sigma_abs_2
return sigma_abs_E
cosmic_dustbox/gspecies.py deleted 100644 → 0
View file @ 28b4f2e2
import astropy.units as _u
import numpy as _np
import warnings as _warnings
import os as _os
import miepython as miepy
from scipy import interpolate as _interp
import sys
Path = _os.path.dirname(_os.path.dirname(_os.path.realpath(__file__))) + \
'//Solver//'
sys.path.insert(0, Path)
import Solver as sv
###############################################################################
###############################################################################
class GrainSpecies(object):
def __init__(self):
return
class SpAsil(Grainspecies):
def getSilica_props(en):
en = en.to(u.micron, equivalencies=u.spectral())
if en.unit != _u.eV or en.unit != en.J :
raise('The unit of Energy should be in eV or Joule')
elif en.unit == en.J:
en = en * _u.J.to(_u.eV)
lamda = en.unit * _u.eV.to(_u.micron, \
equivalencies=_u.spectral())
path = cls.loadFiles['Silica']
silica = loadOprops(path)
assert lamda.unit == _u.micron, 'The wave length is not in micron'
Silica_d = Find_Interpolate(lamda,silica)
return Silica_d
def Sigma_abs(en,sizes):
m = getSilica_props(en,sizes)
QABS = []
sigma_abs = []
for i, size in enumerate(sizes):
QABS append.(miepy.mie(m,size))
sigma_abs.append.(_np.pi * size**2 * QABS[i])
return _np.array(sigma_abs)
def Sigma_sca(en,sizes):
m = getSilica_props(en,sizes)
QSCA = []
sigma_sca = []
for i, size in enumerate(sizes):
QSCA append.(miepy.mie(m,size))
sigma_sca.append.(_np.pi * size**2 * QSCA[i])
return _np.array(sigma_sca)
class SpGraphite(Grainspecies):
"""
"""
def getCarbon_props(en):
if en.unit != _u.eV or en.unit != en.J :
raise('The unit of Energy should be in eV or Joule')
elif en.unit == en.J:
en = en * _u.J.to(_u.eV)
lamda = en.to(_u.micron, \
equivalencies=_u.spectral())
path1 = cls.loadFiles['carbon_par_0.01']
c_par_0.01_ = loadOprops(path1)
path2 = cls.loadFiles['carbon_par_0.1']
c_par_0.1_ = loadOprops(path1)
path3 = cls.loadFiles['carbon_per_0.01']
c_per_0.01_d = loadOprops(path3)
path4 = cls.loadFiles['carbon_per_0.1']
c_per_0.1_d = loadOprops(path4)
assert lamda.unit == _u.micron, 'The wave length is not in micron'
#
c_par_0.01_d = Find_Interpolate(lamda,c_par_0.01_)
c_par_0.1_d = Find_Interpolate(lamda,c_par_0.1_)
c_per_0.01_d = Find_Interpolate(lamda,c_per_0.01_)
c_par_0.1_d = Find_Interpolate(lamda,c_per_0.1_)
#
return c_par_0.01_d , c_par_0.1_d , c_per_0.01_d , c_per_0.1_d
def Sigma_abs(en,sizes):
c_par_0.01_, c_par_0.1_, c_per_0.01_, c_per_0.1_ =
getCarbon_props(en,sizes)
QABS_par_0.01_ = [] ; QABS_par_0.1_ = [] ; QABS_per_0.01_ = []
QABS_per_0.1_ = []
sigma_par_0.01_ = [] ; sigma_par_0.1_ = [] ; sigma_per_0.01_ = []
sigma_per_0.01_ = []
for i, size in enumerate(sizes):
QABS_par_0.01_ = miepy.mie(c_par_0.01_ ,size)
QABS_par_0.1_ = miepy.mie(c_par_0.1_ ,size)
QABS_per_0.01_ = miepy.mie(c_per_0.01_ ,size)
QABS_per_0.1_ = miepy.mie(c_per_0.1_ ,size)
#
sigma_par_0.01_.append.(_np.pi * size**2 * QABS_par_0.01_[i])
sigma_par_0.1_.append.(_np.pi * size**2 * QABS_par_0.1_[i])
sigma_per_0.01_.append.(_np.pi * size**2 * QABS_per_0.01_[i])
sigma_per_0.1_.append.(_np.pi * size**2 * QABS_per_0.1_[i])
#
sigma_abs_0.01_ = ( 2 * _np.array(sigma_par_0.01_) + \
_np.array(sigma_per_0.01_) ) / 3
sigma_abs_0.1_ = ( 2 * _np.array(sigma_par_0.1_) + \
_np.array(sigma_per_0.1_) ) / 3
#
return sigma_abs_0.01_ , sigma_abs_0.1_
#
def Sigma_sca(en,sizes):
#
c_par_0.01_, c_par_0.1_, c_per_0.01_, c_per_0.1_ =
getCarbon_props(en,sizes)
QSCA_par_0.01_ = [] ; QSCA_par_0.1_ = [] ; QSCA_per_0.01_ = []
QSCA_per_0.1_ = []
sigma_par_0.01_ = [] ; sigma_par_0.1_ = [] ; sigma_per_0.01_ = []
sigma_per_0.01_ = []
for i, size in enumerate(sizes):
QSCA_par_0.01_ = miepy.mie(c_par_0.01_ ,size)
QSCA_par_0.1_ = miepy.mie(c_par_0.1_ ,size)
QSCA_per_0.01_ = miepy.mie(c_per_0.01_ ,size)
QSCA_per_0.1_ = miepy.mie(c_per_0.1_ ,size)
#
sigma_par_0.01_.append.(_np.pi * size**2 * QSCA_par_0.01_[i])
sigma_par_0.1_.append.(_np.pi * size**2 * QSCA_par_0.1_[i])
sigma_per_0.01_.append.(_np.pi * size**2 * QSCA_per_0.01_[i])
sigma_per_0.1_.append.(_np.pi * size**2 * QSCA_per_0.1_[i])
#
sigma_sca_0.01_ = ( 2 * _np.array(sigma_par_0.01_) + \
_np.array(sigma_per_0.01_) ) / 3
sigma_sca_0.1_ = ( 2 * _np.array(sigma_par_0.1_) + \
_np.array(sigma_per_0.1_) ) / 3
#
return sigma_sca_0.01_ , sigma_sca_0.1_
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