Planck 2018 lensing code gives different results than the params table?
Posted: December 14 2020
Hi, I was trying to evaluate the smica lensing likelihood at the best fit point on page 270 of the params table, using pycamb and the python interface of Planck 2018 code.
The table says the chi2 of smica at that best fit point should be 9.79, where I'm getting 9.13, so there's a 0.66 difference for chi2. Could you help me check if this is some acceptable error of the code, or if it's because I'm not evaluating it correctly? Thanks!
PS: there seems to be something wrong with the attachments on my side. If you cannot see them, you can also find them using this link and this link.
Code: Select all
import clik
import numpy as np
import camb
smicadx12_Dec5_ftl_mv2_ndclpp_p_teb_consext8 = clik.clik_lensing("baseline/plc_3.0/lensing/smicadx12_Dec5_ftl_mv2_ndclpp_p_teb_consext8.clik_lensing/")
pars = camb.CAMBparams()
pars.set_cosmology(cosmomc_theta=1.041060*0.01, ombh2=0.022509, omch2=0.11839,
omk=-0.0092, tau=0.0515)
pars.InitPower.set_params(As=1e-10*np.exp(3.0336), ns=0.96989)
pars.set_for_lmax(2508)
data = camb.CAMBdata()
data.calc_power_spectra(pars)
cmb = data.get_lensed_scalar_cls(lmax=2508, CMB_unit='muK', raw_cl=True)
lens = data.get_lens_potential_cls(lmax=2508, CMB_unit='muK', raw_cl=True)
m = np.concatenate((lens.T[0, :2501], cmb.T[0, :2501], cmb.T[1, :2501],
cmb.T[3, :2501], [1.00002]))
logp = smicadx12_Dec5_ftl_mv2_ndclpp_p_teb_consext8(m)
logpPS: there seems to be something wrong with the attachments on my side. If you cannot see them, you can also find them using this link and this link.