RascalC

Python library (2PCF)

  • Package installation
  • Fundamentals
  • Practical examples
  • Advanced functions

Legacy (command line) usage

  • Installation
  • Getting Started
  • Tutorial: Aperiodic Data and Jackknives
  • Tutorial: Periodic Data and Legendre Multipoles
  • Pre-Processing
  • Computing Jackknife Weights
  • Computing Random Counts and Survey Correction Functions
  • Correlation Functions
  • Covariance Matrix Estimation
  • Post-Processing & Reconstruction
RascalC
  • Overview: module code

All modules for which code is available

  • RascalC.comb.combine_covs
  • RascalC.comb.combine_covs_legendre
  • RascalC.comb.combine_covs_legendre_multi
  • RascalC.comb.combine_covs_legendre_multi_to_cat
  • RascalC.comb.combine_covs_multi
  • RascalC.comb.convert_cov_legendre_multi_to_cat
  • RascalC.convergence_check_extra
  • RascalC.cov_comparison
  • RascalC.cov_utils
  • RascalC.interface
  • RascalC.post_process.auto
  • RascalC.raw_covariance_matrices
  • RascalC.sample_cov
  • RascalC.sample_cov_multipoles

© Copyright 2019-2026, Oliver Philcox, Ross O'Connell, Daniel Eisenstein, Alex Wiegand, Misha Rashkovetskyi.

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