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Computers and software • Cobaya sampler minimizer options/outputs

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I am running the minimizer sampler in the standard LCDM case with CAMB using cobaya with the following parameter selections:
I have the following questions:

1.- Every time I ran the minimizer I got a different chi2, the delta chi2 can be as high as 6, is that normal?
2.- I tried to change the best_of parameter but if I set it to a number >10 the minimization breaks before giving an output. Can this parameter help reduce the error bars in the chi2 results? How can I get it to work for a best_of >10 run?
3.- The output file that I get has a chi-sq at the beginning that doesn't match the sum of chi2__CMB+chi2__BAO that I find at the end of the file, where does the difference come from?

Thanks!

Here are some of the input .yaml file block settings I am using:

CODE:

sampler:  minimize:    method: bobyqa    ignore_prior: true    max_evals: 1e6d    best_of: 2    confidence_for_unbounded: 0.9999995    seed: null    override_scipy: null    override_bobyqa:      rhoend: 0.05    covmat: null    covmat_params: null    version: null    fallback_covmat_scale: 4theory:  camb:    extra_args:      halofit_version: mead      bbn_predictor: PArthENoPE_880.2_standard.dat      lens_potential_accuracy: 1      num_massive_neutrinos: 0      nnu: 3.044      theta_H0_range:      - 20      - 100likelihood:  planck_2018_lowl.TT: null  planck_2018_lowl.EE: null  planck_2018_highl_plik.TTTEEE: null  planck_2018_lensing.clik: null  bao.sdss_dr16_baoplus_lrg: null  bao.sdss_dr16_baoplus_lyauto: null  bao.sdss_dr16_baoplus_lyxqso: null  bao.sdss_dr16_baoplus_qso: null  bao.sdss_dr16_baoplus_elg: null

Statistics: Posted by Helena Garcia — February 20 2024



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