Usefull functions for DESI

This package contains usefull functions/routines for my work in DESI (targets selection and clustering analysis with quasars)

Author: Edmond Chaussidon (Phd student at IRFU/CEA-Saclay) Contact: edmond.chaussidon@cea.fr

License :

Feel free to use/modify these scripts while you link and quote them to your work. Please, contact the author to obtain the corresponding reference.

Python code :

Tool:

• wrapper: contains usefull wrappers like time_measurement
• logger: Parametrize logger
• linear_regression: Quick and usefull implementation of least-square regression with iminuit
• plot: cartesian and mollweide visualization of a HEALPix map
• plot_spectre*: plot spectrum from coadd file in NERSC

Matplotlib style:

• ec_style.mplstyle: basic style for matplotlib (Warning: latex is activated by default)
• ec_style_article.mplsyle: basic style for matplotlib with smaller size corresponding to a 2 column paper.

TS and systematics:

• systematics: function to calculate systematic plot and parametrization for each features
• corr: routines to read/write/compute data (input/output) to CUTE (OUTDATED) (see comments)
• limber: Limber function implementation and fits (used Nbodykit for cosmo.Planck15)
• ts_utils: utils to load RF probability, apply cut, draw systematics from a pixmap, ect...
• desi_footprint: load information about DESI footprint and the different photometric footprint in function of the different tracer.

Clustering:

• cosmo_tracer: contain class tracer to load easily the information for the different DESI tracers. (the corresponding dn_dz is in Data)
• cosmo_ps: Implemenation of the Powerspectrum / CorrelationFunction class with fnl
• tpcf: utils to load fits file, apply selection and compute Correlation function from CUTE and NOW pycorr

*?? :