else:
if args.hd:
orf = 'hd'
else:
orf = None
gw = models.common_red_noise_block(psd=args.psd,
prior=prior,
Tspan=Tspan,
orf=orf,
gamma_val=args.gamma_gw,
name='gw')
model += gw
log10_sigma = parameter.Uniform(-10, -4)
log10_ell = parameter.Uniform(1, 4)
dm_basis = linear_interp_basis_dm(dt=15 * 86400)
dm_prior = se_dm_kernel(log10_sigma=log10_sigma, log10_ell=log10_ell)
dm_gp = gp_signals.BasisGP(dm_prior, dm_basis, name='dm_gp')
dm_block = dm_gp
# Make solar wind signals
print('sw_r2p ', args.sw_r2p)
# if isinstance(args.sw_r2p,(float,int)):
# args.sw_r2p = [args.sw_r2p]
if args.sw_r2p_ranges is None:
sw_r2p_ranges = args.sw_r2p
elif len(args.sw_r2p) != len(args.sw_r2p_ranges):
raise ValueError('Number of SW powers must match number of prior ranges!! '
'Set # nonvarying ')
else:
model_kwargs = json.load(fin)
# Add to exponential dips for J1713+0747
#Model, kernel, extra DMGP, Chrom Kernel, Chrom Quad, Index
model_labels = [['A', 'periodic', True, True, 'sq_exp', False, 4]]
ptas = {}
all_kwargs = {}
# Periodic GP kernel for DM
log10_sigma = parameter.Uniform(-10, -4.8)
log10_ell = parameter.Uniform(1, 2.4)
log10_p = parameter.Uniform(-2, -1)
log10_gam_p = parameter.Uniform(-2, 2)
dm_basis = gpk.linear_interp_basis_dm(dt=3 * 86400)
dm_prior = gpk.periodic_kernel(log10_sigma=log10_sigma,
log10_ell=log10_ell,
log10_gam_p=log10_gam_p,
log10_p=log10_p)
dmgp = gp_signals.BasisGP(dm_prior, dm_basis, name='dm_gp1')
# Periodic GP kernel for DM
log10_sigma2 = parameter.Uniform(-4.8, -3)
log10_ell2 = parameter.Uniform(2.4, 5)
log10_p2 = parameter.Uniform(-2, 2)
log10_gam_p2 = parameter.Uniform(-2, 2)
dm_basis2 = gpk.linear_interp_basis_dm(dt=3 * 86400)
dm_prior2 = gpk.periodic_kernel(log10_sigma=log10_sigma2,
['A', 'periodic', False, True, 'sq_exp', False, 4],
['B', 'periodic', True, True, 'sq_exp', False, 4],
['C', 'periodic', False, True, 'sq_exp', True, 4],
['D', 'periodic', True, True, 'sq_exp', True, 4],
]
ptas = {}
all_kwargs = {}
# Periodic GP kernel for DM
log10_sigma = parameter.Uniform(-4.4, -3)
log10_ell = parameter.Uniform(3, 4)
log10_p = parameter.Uniform(-1, 1)
log10_gam_p = parameter.Uniform(-1.5, 1)
dm_basis = gpk.linear_interp_basis_dm(dt=14 * 86400)
dm_prior = gpk.periodic_kernel(log10_sigma=log10_sigma,
log10_ell=log10_ell,
log10_gam_p=log10_gam_p,
log10_p=log10_p)
dmgp2 = gp_signals.BasisGP(dm_prior, dm_basis, name='dm_gp2')
@signal_base.function
def chromatic_quad(toas, freqs, quad_coeff=np.ones(3) * 1e-10, idx=4):
"""
Basis for chromatic quadratic function.
:param idx: index of chromatic dependence
