def _calc_planck_mean_opacity(self):
"""Calculate the Planck-mean total opacity for each grid cell.
See, e.g. Mihalas and Mihalas 1984, for details on the averaging
process.
Returns
-------
kappa_planck_mean : astropy.units.Quantity ndarray
Planck-mean opacity (shape Nshells)
"""
kappa_planck_mean = np.zeros(self.nshells) / units.cm
for i in xrange(self.nshells):
delta_nu = (self.nu_bins[1:] - self.nu_bins[:-1])
T = self.mdl.plasma.t_rad[i]
tmp = (blackbody_nu(self.nu_bins[:-1], T) * delta_nu *
self.kappa_tot[:, 0]).sum()
tmp /= (blackbody_nu(self.nu_bins[:-1], T) * delta_nu).sum()
kappa_planck_mean[i] = tmp
return kappa_planck_mean.to("1/cm")
def _calc_planck_mean_opacity(self):
"""Calculate the Planck-mean total opacity for each grid cell.
See, e.g. Mihalas and Mihalas 1984, for details on the averaging
process.
Returns
-------
kappa_planck_mean : astropy.units.Quantity ndarray
Planck-mean opacity (shape Nshells)
"""
kappa_planck_mean = np.zeros(self.nshells) / units.cm
for i in xrange(self.nshells):
delta_nu = (self.nu_bins[1:] - self.nu_bins[:-1])
T = self.mdl.plasma.t_rad[i]
tmp = (blackbody_nu(self.nu_bins[:-1], T) * delta_nu *
self.kappa_tot[:, 0]).sum()
tmp /= (blackbody_nu(self.nu_bins[:-1], T) * delta_nu).sum()
kappa_planck_mean[i] = tmp
return kappa_planck_mean.to("1/cm")
def mockobj(nx, temp): #Create a mock 1D spectrum
x = np.arange(nx)
l = x * 10 + 5000
wave = l * u.AA #u.AA means Angstrom
temperature = temp * u.K
flux = blackbody_nu(wave, temperature).value
return flux
def setup_grid(self, wavelength=656*u.nm):
# use HEALPIX to get evenly sized tiles
NSIDE = hp.npix2nside(self.ntiles)
colat, lon = hp.pix2ang(NSIDE, np.arange(0, self.ntiles))
# co-latitude
theta_values = u.Quantity(colat, unit=u.rad)
# longitude
phi_values = u.Quantity(lon, unit=u.rad)
# the following formulae use the Roche approximation and assume
# solid body rotation
# solve for radius of rotating star at these co-latitudes
if self.distortion:
radii = self.radius*np.array([newton(surface, 1.01, args=(self.omega, x)) for x in theta_values])
else:
radii = self.radius*np.ones(self.ntiles)
# and effective gravities
geff = np.sqrt((-const.G*self.mass/radii**2 + self.Omega**2 * radii * np.sin(theta_values)**2)**2 +
self.Omega**4 * radii**2 * np.sin(theta_values)**2 * np.cos(theta_values)**2)
# now make a ntiles sized CartesianRepresentation of positions
self.tile_locs = SphericalRepresentation(phi_values,
90*u.deg-theta_values,
radii).to_cartesian()
# normal to tile is the direction of the derivate of the potential
# this is the vector form of geff above
# the easiest way to express it is that it differs from (r, theta, phi)
# by a small amount in the theta direction epsilon
x = radii/self.radius
a = 1./x**2 - (8./27.)*self.omega**2 * x * np.sin(theta_values)**2
b = np.sqrt(
(-1./x**2 + (8./27)*self.omega**2 * x * np.sin(theta_values)**2)**2 +
((8./27)*self.omega**2 * x * np.sin(theta_values) * np.cos(theta_values))**2
)
epsilon = np.arccos(a/b)
self.tile_dirs = UnitSphericalRepresentation(phi_values,
90*u.deg - theta_values - epsilon)
self.tile_dirs = self.tile_dirs.to_cartesian()
# and ntiles sized arrays of tile properties
tile_temperatures = 2000.0 * u.K * (geff / geff.max())**self.beta
# fluxes, not accounting for limb darkening
self.tile_scales = np.ones(self.ntiles)
self.tile_fluxes = blackbody_nu(wavelength, tile_temperatures)
# tile areas
spher = self.tile_locs.represent_as(SphericalRepresentation)
self.tile_areas = spher.distance**2 * hp.nside2pixarea(NSIDE) * u.rad * u.rad
omega_vec = CartesianRepresentation(
u.Quantity([0.0, 0.0, self.Omega.value],
unit=self.Omega.unit)
)
# get velocities of tiles
self.tile_velocities = cross(omega_vec, self.tile_locs)
def test_monochromatic_inverse_compton(particle_dists):
"""
test IC monochromatic against khangulyan et al.
"""
from ..models import InverseCompton, PowerLaw
PL = PowerLaw(1 / u.eV, 1 * u.TeV, 3)
# compute a blackbody spectrum with 1 eV/cm3 at 30K
from astropy.analytic_functions import blackbody_nu
Ephbb = np.logspace(-3.5, -1.5, 100) * u.eV
lambdabb = Ephbb.to('AA', equivalencies=u.equivalencies.spectral())
T = 30 * u.K
w = 1 * u.eV / u.cm**3
bb = (blackbody_nu(lambdabb, T) * 2 * u.sr / c.cgs / Ephbb /
hbar).to('1/(cm3 eV)')
Ebbmax = Ephbb[np.argmax(Ephbb**2 * bb)]
ar = (4 * sigma_sb / c).to('erg/(cm3 K4)')
bb *= (w / (ar * T**4)).decompose()
eopts = {'Eemax': 10000 * u.GeV, 'Eemin': 10 * u.GeV, 'nEed': 1000}
IC_khang = InverseCompton(PL, seed_photon_fields=[['bb', T, w]], **eopts)
IC_mono = InverseCompton(PL,
seed_photon_fields=[['mono', Ebbmax, w]],
**eopts)
IC_bb = InverseCompton(PL,
seed_photon_fields=[['bb2', Ephbb, bb]],
**eopts)
IC_bb_ene = InverseCompton(
PL, seed_photon_fields=[['bb2', Ephbb, Ephbb**2 * bb]], **eopts)
Eph = np.logspace(-1, 1, 3) * u.GeV
assert_allclose(IC_khang.sed(Eph).value, IC_mono.sed(Eph).value, rtol=1e-2)
assert_allclose(IC_khang.sed(Eph).value, IC_bb.sed(Eph).value, rtol=1e-2)
assert_allclose(IC_khang.sed(Eph).value,
IC_bb_ene.sed(Eph).value,
rtol=1e-2)
def los_to_dustpol(los,Tdust=18,nu0=353,deltas=1.):
from astropy.analytic_functions import blackbody_lambda, blackbody_nu
Bnu=blackbody_nu(nu0*u.GHz,Tdust*u.K)
sigma_353=1.2e-26*u.cm**2 # Planck 2013 results XI. by Planck Collaboration XI (2014)
p0=0.2
ds=deltas*c.pc
Bperp2=los['magnetic_field_X']**2+los['magnetic_field_Y']**2
B2=Bperp2+los['magnetic_field_Z']**2
cos2phi=(los['magnetic_field_X']**2-los['magnetic_field_Y']**2)/Bperp2
sin2phi=los['magnetic_field_X']*los['magnetic_field_Y']/Bperp2
cosgam2=Bperp2/B2
nH=los['density']/u.cm**3
dtau=(sigma_353*nH*ds).cgs
tau=dtau.cumsum()
# print nH.sum()*ds.cgs,tau[-1], np.exp(-tau[-1])
I=Bnu*(1.0-p0*(cosgam2-2./3.0))*dtau#*np.exp(-tau)
Q=p0*Bnu*cos2phi*cosgam2*dtau#*np.exp(-tau)
U=p0*Bnu*sin2phi*cosgam2*dtau#*np.exp(-tau)
return I.sum().to('MJy/sr'),Q.sum().to('MJy/sr'),U.sum().to('MJy/sr')
def test_monochromatic_inverse_compton(particle_dists):
"""
test IC monochromatic against khangulyan et al.
"""
from ..models import InverseCompton, PowerLaw
PL = PowerLaw(1 / u.eV, 1 * u.TeV, 3)
# compute a blackbody spectrum with 1 eV/cm3 at 30K
from astropy.analytic_functions import blackbody_nu
Ephbb = np.logspace(-3.5, -1.5, 100) * u.eV
lambdabb = Ephbb.to('AA', equivalencies=u.equivalencies.spectral())
T = 30 * u.K
w = 1 * u.eV / u.cm**3
bb = (blackbody_nu(lambdabb, T) * 2 * u.sr / c.cgs
/ Ephbb / hbar).to('1/(cm3 eV)')
Ebbmax = Ephbb[np.argmax(Ephbb**2 * bb)]
ar = (4 * sigma_sb / c).to('erg/(cm3 K4)')
bb *= (w / (ar * T**4)).decompose()
eopts = {'Eemax': 10000 * u.GeV, 'Eemin': 10 * u.GeV, 'nEed': 1000}
IC_khang = InverseCompton(PL, seed_photon_fields=[['bb', T, w]], **eopts)
IC_mono = InverseCompton(PL,
seed_photon_fields=[['mono', Ebbmax, w]],
**eopts)
IC_bb = InverseCompton(PL, seed_photon_fields=[['bb2', Ephbb, bb]], **eopts)
IC_bb_ene = InverseCompton(PL,
seed_photon_fields=[['bb2', Ephbb, Ephbb**2 * bb]], **eopts)
Eph = np.logspace(-1, 1, 3) * u.GeV
assert_allclose(IC_khang.sed(Eph).value, IC_mono.sed(Eph).value, rtol=1e-2)
assert_allclose(IC_khang.sed(Eph).value, IC_bb.sed(Eph).value, rtol=1e-2)
assert_allclose(IC_khang.sed(Eph).value, IC_bb_ene.sed(Eph).value,
rtol=1e-2)
def calc_md_tlt(self, nu = 340.*u.GHz, k340 = 3.37):
self.k340 = k340
self.boltz_tlt = np.ones(self.nstars)
self.boltz_tlt_uvg = np.ones(self.nstars)
self.boltz_tlt_lam = np.ones(self.nstars)
self.boltz_ta = np.ones(self.nstars)
self.boltz_tvdp = np.ones(self.nstars)
for i in range(self.nstars):
self.boltz_tlt[i] = blackbody_nu(nu, self.mytable[i]['Tlt']).value
self.boltz_tlt_uvg[i] = blackbody_nu(nu, self.mytable[i]['Tlt_uvg']).value
self.boltz_tlt_lam[i] = blackbody_nu(nu, self.mytable[i]['Tlt_lam']).value
self.boltz_ta[i] = blackbody_nu(nu, self.mytable[i]['Ta']).value
self.boltz_tvdp[i] = blackbody_nu(nu, self.mytable[i]['Tvdp']).value
self.boltz_20k = np.zeros(self.nstars)+blackbody_nu(nu, 20. * u.K).value
#
self.mlt, self.mlt_ep, self.mlt_em = self.get_mass(self.boltz_tlt)
self.mlt_uvg, self.mlt_uvg_ep, self.mlt_uvg_em = self.get_mass(self.boltz_tlt_uvg)
self.mlt_lam, self.mlt_lam_ep, self.mlt_lam_em = self.get_mass(self.boltz_tlt_lam)
self.mta, self.mta_ep, self.mta_em = self.get_mass(self.boltz_ta)
self.mtvdp, self.mtvdp_ep, self.mtvdp_em = self.get_mass(self.boltz_tvdp)
self.m20k, self.m20k_ep, self.m20k_em = self.get_mass(self.boltz_20k)
def bbody(T,nu):
"""
Blackbody flux for a given temperature and frequency erg / (cm2 Hz s sr) (cgs system)
"""
return blackbody_nu(nu, T).cgs.value
def create_flux(self):
# use astropy analytic function and astropy.units to specify microns and K.
# flux is in erg cm-2 s-1 hz-1 sr-1, but will be scaled by normalization.
flux = blackbody_nu(self.wave * u.micron, self.temp * u.K)
return flux.value
def create_flux(self):
# use astropy analytic function and astropy.units to specify microns and K.
# flux is in erg cm-2 s-1 hz-1 sr-1, but will be scaled by normalization.
flux = blackbody_nu(self.wave * u.micron, self.temp * u.K)
return flux.value
def testBlack_Body(self):
astropy = blackbody_nu(90.e9, 100.) / blackbody_nu(30.e9, 100.)
pysm = components.black_body(90., 30., 100.)
self.assertAlmostEqual(astropy, pysm)
T_dust = 15 * u.K
kappa_dust = 0.6 * u.cm**2 / u.g
# Assume the Canonical value here
dust_to_gas = 100.
beamsize = 1 * u.arcsec
# Assuming circular here. Drop units to avoid 'beam' units in intensity
beamarea = (np.pi * beamsize**2).to(u.sr)
# In mJy/bm, but astropy isn't decomposing automatically
intensity = (253.54 * 1e-3) * 1e-26 * u.erg / (u.s * u.Hz * u.cm**2)
intensity = intensity / beamarea
Sigma_gas = (dust_to_gas / kappa_dust) * \
(intensity / blackbody_nu(nu, T_dust))
Sigma_gas = Sigma_gas.to(u.Msun / u.pc**2)
# Multiply by physical beamwidth size
# In the case of M33, 1" = 4 pc
phys_beamsize = (4 * u.pc)
phys_beamarea = (np.pi * phys_beamsize**2)
dustmass = Sigma_gas * phys_beamarea
print "Mass Surface Density: %s" % (Sigma_gas)
print "Mass in beam: %s" % (dustmass)
def testBlack_Body(self):
astropy = blackbody_nu(90.e9, 100.) / blackbody_nu(30.e9, 100.)
pysm = components.black_body(90., 30., 100.)
self.assertAlmostEqual(astropy, pysm)
T_dust = 15 * u.K
kappa_dust = 0.6 * u.cm**2/u.g
# Assume the Canonical value here
dust_to_gas = 100.
beamsize = 1 * u.arcsec
# Assuming circular here. Drop units to avoid 'beam' units in intensity
beamarea = (np.pi * beamsize ** 2).to(u.sr)
# In mJy/bm, but astropy isn't decomposing automatically
intensity = (253.54 * 1e-3) * 1e-26 * u.erg/(u.s * u.Hz * u.cm**2)
intensity = intensity / beamarea
Sigma_gas = (dust_to_gas / kappa_dust) * \
(intensity / blackbody_nu(nu, T_dust))
Sigma_gas = Sigma_gas.to(u.Msun/u.pc**2)
# Multiply by physical beamwidth size
# In the case of M33, 1" = 4 pc
phys_beamsize = (4 * u.pc)
phys_beamarea = (np.pi*phys_beamsize**2)
dustmass = Sigma_gas * phys_beamarea
print "Mass Surface Density: %s" % (Sigma_gas)
print "Mass in beam: %s" % (dustmass)
