def calc_M_nu_sig_disc():
import physics_disc as phys
gp.nu1_x = phys.nu(gp.parst.nu1)
# gp.nu1_x = phys.nu_decrease(gp.xipol,gp.xipol,gp.parst.nu1)
gp.d1_x = phys.delta(gp.parst.delta1)
gp.dens_x = phys.dens(gp.xipol, gp.parst.dens)
# means Kz, *not* surface density
# gp.dens_x = gp.parst.dens+gp.blow # Kzpars with baryonic lower limit
gp.M_x = phys.Sigmaz(gp.dens_x)
# gp.M_x = phys.kz(gp.xipol, gp.xipol, gp.dens_x, gp.blow)
# from kz, added baryons min
# TODO: marginalise over lower bound, see gl_priors, kappa_DM < 0
# attention: gives sometimes unphysical decreasing surface density
gp.blow = gp.dat.Mdat # npr.normal(gp.dat.Mdat,gp.dat.Merr/4.,gp.nipol)
# TODO: naming
Rsun = 8000.; hr = 3.0; hsig = 3.0
gp.sig1_x = phys.sigmaz(gp.xipol, gp.dens_x, gp.nu1_x, gp.parst.norm1,\
gp.parst.delta1, [Rsun,hr,hsig])
gp.kap1_x = gp.xipol*0. # set to 0 consistently
if gp.pops == 2:
gp.nu2_x = phys.nu(gp.parst.nu2)
# gp.nu2_x = phys.nu_decrease(gp.xipol,gp.xipol,gp.parst.nu2)
gp.d2_x = phys.delta(gp.parst.delta2)
gp.sig2_x = phys.sigmaz(gp.xipol, gp.dens_x, gp.nu2_x, gp.parst.norm2,\
gp.parst.delta2, [Rsun,hr,hsig])
gp.kap2_x = gp.xipol*0.
if gp.checkint:
gp.nu1_x = gp.ipol.nudat1
Rsun = 8.; hr = 3.0; hsig = 3.0
# ^--- irrelevant, as long as gp.deltaprior = True
gp.parst.norm1 = 17.**2
gp.sig1_x = phys.sigmaz(gp.xipol, gp.ipol.densdat, gp.blow,\
gp.ipol.nudat1,gp.parst.norm1,gp.parst.delta1,\
[Rsun,hr,hsig])
gp.kap1_x = gp.xipol*0.
return
def calc_M_nu_sig_kap_sphere():
import physics_sphere as phys
if not gp.checkint:
'''normal case'''
gp.nu1_x = phys.nu(gp.parst.nu1) # [munit/pc^3]
gp.dens_x = phys.dens(gp.xipol, gp.parst.dens) # [munit/pc^3]
gp.M_x = rho_SUM_Mr(gp.xipol, gp.dens_x) # [munit,3D]
gp.d1_x = phys.delta(gp.parst.delta1)
# pdb.set_trace()
# TODO: introduce error in dens, nu, d1 here, for weights in splrep
gp.sig1_x, gp.kap1_x = phys.sig_kap_los(gp.dens_x, gp.nu1_x, gp.d1_x)
if gp.pops == 2:
gp.nu2_x = phys.nu(gp.parst.nu2)
gp.d2_x = phys.delta(gp.parst.delta2)
gp.sig2_x, gp.kap2_x = phys.sig_kap_los(gp.dens_x, gp.nu2_x, gp.d2_x)
# to debug almost fitting curves:
# if gp.chi2 < 60:
# pdb.set_trace()
else:
'checkint: check integration routines for sigma, kappa'
if gp.investigate == 'hernquist':
### set nu to data, or analytic value
gp.nu1_x = gp.ipol.nudat1 # [Msun/pc^3]
if gp.analytic:
gp.nu1_x = rho_anf(gp.xipol) # [Msun/pc^3]
# set dens
gp.dens_x = rho_anf(gp.xipol) # [Msun/pc^3]
# attention: same as gp.nu1_x in this case!
# fine if potential comes from 'tracers' only
gp.M_x = M_anf(gp.xipol) # [Msun]
gp.d1_x = np.zeros(gp.nipol) # [1]
print('set nu, dens, M, delta to analytic')
gp.sig1_x, gp.kap1_x = phys.sig_kap_los(gp.dens_x, gp.nu1_x, gp.d1_x)
# still checkint, but for walker now
elif gp.investigate == 'walker':
rhodm, rhostar1, rhostar2 = rhowalker_3D(gp.xipol)
gp.nu1_x = rhostar1
if gp.pops == 2:
gp.nu2_x = rhostar2 # gp.ipol.nudat2 # data
gp.dens_x = rhowalkertot_3D(gp.xipol) # [msun/pc^3]
gp.M_x = Mwalkertot(gp.xipol) # should really be this thing here!
# gp.M_x = rho_SUM_Mr(gp.ipol.Mx, gp.dens_x) # [msun]
# gp.M_x = rho_SUM_Mr(gp.ipol.binmax, gp.dens_x) # [msun]
gp.d1_x = walker_delta(1) # [1], actual delta
if gp.pops == 2:
gp.d2_x = walker_delta(2) # [1]
# set sigma_LOS, by calculating expected values
# for both (spherical) cases simultaneously
gp.sig1_x,gp.kap1_x = phys.sig_kap_los(gp.dens_x, gp.nu1_x, \
gp.d1_x) # [km/s], [1]
# takes [munit, 3D], [munit/pc^3], [1]
# normalization of nu does not matter, is divided out
if gp.pops == 2:
gp.sig2_x, gp.kap2_x = phys.sig_kap_los(gp.dens_x,gp.nu2_x,\
gp.d2_x) # [km/s], [1]
return
