acdc.predict_dark_level.bin_science

bin_science(corrtag, b, fact=1, exclude_airglow=False)[source]

Given a corrtag with lists of events as a function of X, Y, and PHA, bin the data into an image using the same bin sizes as the superdark.

Parameters:

  • corrtag (str) – Corrtag to bin.

  • b (dict) – Dictionary that describes the binning information in both the spatial and PHA dimensions. (Only spatial is used)

Returns:

  • binned (array) – Binned science image.

  • nevents (array) – Number of events in each binned pixel.