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fihobi: $f_{\rm NL}$-inference with HOD-informed $b_\phi$-prior

This repo. is under active development. If you have any questions, please contact the author.

Repo. Structure

  • hod-variation/: for HOD fitting, refer to DESI DR2 small scale clusterings ($w_p, \xi_0, \xi_2$) of LRGs and QSOs.
    • products:
      • chains of HOD parameters (with the triangle plot and the best-fit clustering plot) @ pscratch/desi-dr2-hod/QSO-xxx
      • best-fit HOD mocks (with the clustering measurements) @ pscratch/desi-dr2-hod/mocks -- input for mock-data-cov/
    • post-analysis products: comparison of fittings for each sample among different simulations / HOD models. The triangle plots and best-fit clustering plots @ hod-variation/output.
  • mock-data-cov/: measure power spectrum of AbacusPNG mocks, generate EZmocks for covariance matrix.
    • products:
      • power spectrum of AbacusPNG mocks @ pscratch/desi-dr2-hod/mocks
      • power spectrum of EZmocks @ pscratch/EZmock/output/mocks/QSO-zx_c3xx
    • biproducts:
      • bispectrum of AbacusPNG mocks (generated when calibrate EZmock, won't save)
  • inference/:

Environment

See env/README.md for details. Run source env/env.sh to set up the environment variables whenever you start a new shell.

About

Develop methodology of HOD-informed prior of PNG bias, based on the mocks fitted to DESI Y3 data.

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