High Level Analysis Methods¶

The following modules predominantly provide high-level Python interfaces to update and visualise GSData objects. These should form the primary user interface for operations on data.

Averaging and Combining Files/Objects¶

`edges.averaging.combiners`	Functions for combining multiple GSData files/objects.
`edges.averaging.freqbin`	Functions for binning and decimating GSData objects in frequency.
`edges.averaging.lstbin`	Functions for doing LST binning on GSData objects.
`edges.analysis.groupdays`	Functions for grouping GSData objects together.

Calibration¶

edges.analysis.calibrate

Module defining calibration routines for field data in EDGES.

Flagging and Filtering¶

`edges.filters.filters`	Functions that identify and flag bad data in various ways.
`edges.filters.runners`	A module that provides high-level functions for filtering using multiple threads.

Auxiliary Data¶

edges.analysis.aux_data

Module for dealing with auxiliary data for EDGES observations.

Data Modelling/Inpainting¶

edges.analysis.datamodel

Data models for GSData objects.

Visualization¶

edges.analysis.plots

Plotting utilities.