Deconvolving XRT Images

This example demonstrates deconvolvoing X-Ray Telescope (XRT) images using the xrtpy.image_correction.deconvolve function in XRTpy.

import matplotlib.pyplot as plt
import sunpy.map
from sunpy.net import Fido
from sunpy.net import attrs as a

from xrtpy.image_correction import deconvolve

We will search for XRT data from the Virtual Solar Observatory (VSO) and fetch the first result.

result = Fido.search(
    a.Time("2012-06-05 21:58:39", "2012-06-05 21:59:00"), a.Instrument("xrt")
)
data_file = Fido.fetch(result[0])

Typically most deconvolve routines use the Richardson-Lucy deconvolution algorithm.

xrt_map = sunpy.map.Map(data_file)
deconv_map = deconvolve(xrt_map)

To see the effects of the deconvolution we plot both the before and after images.

fig = plt.figure(figsize=(15, 10))

ax = fig.add_subplot(121, projection=xrt_map)
xrt_map.plot(axes=ax, title="Original")
ax1 = fig.add_subplot(122, projection=deconv_map)
deconv_map.plot(axes=ax1, title="Deconvolved")

ax1.coords[1].set_ticks_visible(False)
ax1.coords[1].set_ticklabel_visible(False)
fig.tight_layout()

plt.show()