hera_stats
stable

Contents:

  • Jupyter notebook automation
  • Advanced power spectrum averaging functions
  • Flagging algorithms and helper functions
  • Noise estimation
  • Diagnostic plotting functions
  • Shuffling data
  • Splitting data
  • Statistical tests for jackknives
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Index

A | B | C | E | F | H | J | L | O | R | S | U

A

  • antenna_matrix() (in module hera_stats.plot)
  • apply_random_flags() (in module hera_stats.flag)
  • average_spectra_cumul() (in module hera_stats.average)

B

  • blps_by_antnum() (in module hera_stats.split)

C

  • construct_factorizable_mask() (in module hera_stats.flag)

E

  • estimate_noise_rms() (in module hera_stats.noise)

F

  • flag_channels() (in module hera_stats.flag)

H

  • hera_stats.automate (module)
  • hera_stats.average (module)
  • hera_stats.flag (module)
  • hera_stats.noise (module)
  • hera_stats.plot (module)
  • hera_stats.shuffle (module)
  • hera_stats.split (module)
  • hera_stats.stats (module)
  • hour_angle() (in module hera_stats.split)

J

  • jupyter_replace_tags() (in module hera_stats.automate)
  • jupyter_run_notebook() (in module hera_stats.automate)

L

  • long_waterfall() (in module hera_stats.plot)
  • lst_blocks() (in module hera_stats.split)
  • lst_stripes() (in module hera_stats.split)

O

  • omit_ants() (in module hera_stats.split)

R

  • redgrp_corrmat() (in module hera_stats.plot)
  • redgrp_pspec_covariance() (in module hera_stats.stats)
  • redundant_diff() (in module hera_stats.average)
  • redundant_diff_summary() (in module hera_stats.average)

S

  • scatter_bandpowers() (in module hera_stats.plot)
  • shuffle_data_redgrp() (in module hera_stats.shuffle)

U

  • uvp_zscore() (in module hera_stats.stats)

© Copyright 2020, HERA Collaboration Revision 94d93db2.

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