exosim.tasks.detector.add_gain_drift

Classes

AddGainDrift

It adds a gain noise map to the array.

Module Contents

class AddGainDrift

Bases: exosim.tasks.task.Task

It adds a gain noise map to the array.

The gain Drift is modeled as a polynomial model for a spectral and time dependent modulation.

Notes

This is a default class with standardised inputs and outputs. The user can load this class and overwrite the “model” method to implement a custom Task to replace this.

execute()

Class execution. It runs on call and executes all the task actions returning the outputs. It requires the input with correct keywords

model(subexposures, parameters, output=None)

Apply a gain drift model to the subexposures.

This method models the gain drift as a polynomial trend based on time and wavelength.

Parameters:

• subexposures (Signal) – Sub-exposures cached signal.

• parameters (dict) – Dictionary containing the detector parameters for gain noise computation.

• output (Optional[Output]) – Output file to write information, defaults to None.

Returns:

This method does not return a value but updates the subexposures dataset with applied gain noise.

Return type:

None