def __init__(self, name, kt_array=None):
if kt_array is None:
kt_array = DEFAULT_KT_ARRAY
else:
kt_array = np.atleast_1d(np.asfarray(kt_array))
self.gfac = Parameter(name, 'gfac', 0.5, 1e-4, 1e4, 1e-6, 1e6)
self.Abundanc = Parameter(name,
'Abundanc',
1.,
0.,
5.,
0.0,
hugeval,
frozen=True)
self.redshift = Parameter(name,
'redshift',
0.,
-0.999,
10.,
-0.999,
hugeval,
frozen=True)
self.norm = Parameter(name, 'norm', 1.0, 0.0, 1e24, 0.0, hugeval)
self._kt_array = kt_array
self._cur_cache_key = None
self._cached_vals = None
XSAdditiveModel.__init__(
self, name, (self.gfac, self.Abundanc, self.redshift, self.norm))
def __init__(self, name='zkerrbb'):
self.eta = Parameter(name, 'eta', 0, 0, 1.0, 0, 1.0, frozen=True)
self.a = Parameter(name, 'a', 0.5, -0.99, 0.999, -0.99, 0.9999)
self.i = Parameter(name,
'i',
30,
0,
85,
0,
85,
units='degree',
frozen=True)
self.Mbh = Parameter(name,
'Mbh',
1e7,
3,
1e10,
3,
1e10,
units='M_sun',
frozen=True)
self.Mdd = Parameter(name,
'Mdd',
1,
1e-5,
1e4,
1e-5,
1e5,
units='M0yr')
self.z = Parameter(name, 'z', 0.01, 0, 10, 0, 10, frozen=True)
self.fcol = Parameter(name,
'fcol',
2,
-100,
100,
-100,
100,
frozen=True)
self.rflag = Parameter(name, 'rflag', 1, alwaysfrozen=True)
self.lflag = Parameter(name, 'lflag', 1, alwaysfrozen=True)
self.norm = Parameter(name, 'norm', 1.0, 0, 1e24, 0, hugeval)
pars = (self.eta, self.a, self.i, self.Mbh, self.Mdd, self.z,
self.fcol, self.rflag, self.lflag, self.norm)
XSAdditiveModel.__init__(self, name, pars)
def __init__(self, name='foo'):
self.kT = Parameter(name, 'kT', 1.0)
XSAdditiveModel.__init__(self, name, (self.kT))
def __init__(self, name='powerlaw'):
self.PhoIndex = Parameter(name, 'PhoIndex', 1., 0.95, 1.05, 0.95, 1.05)
self.norm = Parameter(name, 'norm', 9.2, 8.8, 9.7, 8.8, 9.7)
XSAdditiveModel.__init__(self, name, (self.PhoIndex, self.norm))
def __init__(self, name='foo'):
self.kT = Parameter(name, 'kT', 1.0)
XSAdditiveModel.__init__(self, name, (self.kT))
def __init__(self, name='agnslim'):
self.mass = Parameter(name,
'mass',
1e7,
1,
1e10,
1,
1e10,
units='solar',
frozen=True)
self.dist = Parameter(name,
'dist',
100,
0.01,
1e9,
0.01,
1e9,
units='Mpc',
frozen=True)
self.logmdot = Parameter(name, 'logmdot', 1, -10, 3, -10, 3)
self.astar = Parameter(name,
'astar',
0,
0,
0.998,
0,
0.998,
frozen=True)
self.cosi = Parameter(name, 'cosi', 0.5, 0.05, 1, 0.05, 1, frozen=True)
self.kTe_hot = Parameter(name,
'kTe_hot',
100,
10,
300,
10,
300,
units='KeV(-pl)',
frozen=True)
self.kTe_warm = Parameter(name,
'kTe_warm',
0.2,
0.1,
0.5,
0.1,
0.5,
units='KeV(-sc)')
self.Gamma_hot = Parameter(name, 'Gamma_hot', 2.4, 1.3, 3, 1.3, 3)
self.Gamma_warm = Parameter(name,
'Gamma_warm',
3.0,
2,
5,
2,
10,
units='(-disk)')
self.R_hot = Parameter(name, 'R_hot', 10, 2, 500, 2, 500, units='Rg')
self.R_warm = Parameter(name, 'R_warm', 20, 2, 500, 2, 500, units='Rg')
self.logrout = Parameter(name,
'logrout',
-1.0,
-3,
7,
-3,
7,
units='(-selfg)',
frozen=True)
self.rin = Parameter(name, 'rin', -1, -1, 100, -1, 100, frozen=True)
self.redshift = Parameter(name, 'redshift', 0, 0, 5, 0, 5, frozen=True)
self.norm = Parameter(name, 'norm', 1.0, alwaysfrozen=True)
pars = (self.mass, self.dist, self.logmdot, self.astar, self.cosi,
self.kTe_hot, self.kTe_warm, self.Gamma_hot, self.Gamma_warm,
self.R_hot, self.R_warm, self.logrout, self.rin, self.redshift,
self.norm)
XSAdditiveModel.__init__(self, name, pars)
