Stack

class dorado.Stack(data, flat=None, filter='', times=[], calibrated=None, aligned=None, target=None, alignTo=0)

Bases: object

The Stack class encapsulates correlated stacks of image objects and their associated data. Stack exceeds simply storing stacks of images in an array or list by expanding upon the array object to hold additional data about the image stack such as a WCS object, the enclosed target, and the correlated calibration frames.

Attributes

data: CCDdata array

Array of CCDdata images.

flat: CCDdata

Flatfield calibration frame for data stack. Optional

filter: str

Name of filter data was collected in. Optional.

times: array or list-like

Time for each image as an ‘astropy.Time’ object. Optional.

calibrated: Boolean

Whether the data is calibrated or not. Default is ‘None’. Optional.

aligned: Boolean

Whether the data is aligned or not. Default is ‘None’. Optional.

target: Zellars object

Instance of the Zellars astronomical target class containing the target of interest in the stack. Optional.

alignTo: int

Index of the image which all other stack images should be aligned to. Default is 0. Optional.

Methods Summary

get_target_info([target])	get_target_info is a convinience function for setting an instance of Zellars as the Stack target object.
get_times()	get_times sequences through the stack data and passes the FITS header timestamp for ‘DATE-OBS’ into ‘astropy.time’ and sets the resulting array of times as ‘self.times’.

Methods Documentation

get_target_info(target=None)

get_target_info is a convinience function for setting an instance of Zellars as the Stack target object.

Parameters

target: Zellars object

Instance of the Zellars astronomical target class containing the target of interest in the stack.

Returns

None

get_times()

get_times sequences through the stack data and passes the FITS header timestamp for ‘DATE-OBS’ into ‘astropy.time’ and sets the resulting array of times as ‘self.times’.

Parameters

None

Returns

self.times: array or list-like

array of ‘astropy.time’ objects for each image timestamp.