Nz_Fitting

Repository for Nz fitting packages

Features

• Redshift data structures with plotting routines
  • Data base class
  • Single redshift distribution
  • Set of tomographic bins
• Redshift models with plotting routines and mean redshift calculation
  • Model base class
  • Simple bias model
  • Gaussian comb models with linear and logarithmic amplitude parameters
  • Multi-bin model a set of tomographic bins
• Fitting
  • Optimizer base class
  • Automatic wrapper for scipy.optimize.curve_fit

Issues

• Currently does not include the bias model in the fitting procedure.
• Fitting the full KV450 sample yields a larger model uncertainty than the weighted sum of joint fits of all tomographic bins.

Future Plans

• MCMC sampler (emcee or PyMulitNest) based on the optimizer base class
• Supporting joint n(z) and bias model fits