centroid_1dg

photutils.centroids.centroid_1dg(data, error=None, mask=None)

Calculate the centroid of a 2D array by fitting 1D Gaussians to the marginal x and y distributions of the array.

Non-finite values (e.g., NaN or inf) in the data or error arrays are automatically masked. These masks are combined.

Parameters:

data2D ndarray

The 2D image data. The image should be a background-subtracted cutout image containing a single source.

error2D ndarray, optional

The 2D array of the 1-sigma errors of the input data.

mask2D bool ndarray, optional

A boolean mask, with the same shape as data, where a True value indicates the corresponding element of data is masked.

Returns:

centroidndarray

The x, y coordinates of the centroid.

Examples

>>> import numpy as np
>>> from photutils.datasets import make_4gaussians_image
>>> from photutils.centroids import centroid_1dg
>>> data = make_4gaussians_image()
>>> data -= np.median(data[0:30, 0:125])
>>> data = data[40:80, 70:110]
>>> x1, y1 = centroid_1dg(data)
>>> print(np.array((x1, y1)))
[19.96553246 20.04952841]

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