load_irac_psf

photutils.datasets.load_irac_psf(channel, show_progress=False)

Load a Spitzer IRAC PSF image.

Parameters:

channelint (1-4)

The IRAC channel number:

• Channel 1: 3.6 microns

• Channel 2: 4.5 microns

• Channel 3: 5.8 microns

• Channel 4: 8.0 microns

show_progressbool, optional

Whether to display a progress bar during the download (default is False).

Returns:

hduImageHDU

The IRAC PSF in a FITS image HDU.

Examples

import matplotlib.pyplot as plt
from astropy.visualization import ImageNormalize, LogStretch
from photutils.datasets import load_irac_psf

hdu1 = load_irac_psf(1)
hdu2 = load_irac_psf(2)
hdu3 = load_irac_psf(3)
hdu4 = load_irac_psf(4)

norm = ImageNormalize(hdu1.data, stretch=LogStretch())

fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2)
ax1.imshow(hdu1.data, origin='lower', interpolation='nearest',
           norm=norm)
ax1.set_title('IRAC Ch1 PSF')
ax2.imshow(hdu2.data, origin='lower', interpolation='nearest',
           norm=norm)
ax2.set_title('IRAC Ch2 PSF')
ax3.imshow(hdu3.data, origin='lower', interpolation='nearest',
           norm=norm)
ax3.set_title('IRAC Ch3 PSF')
ax4.imshow(hdu4.data, origin='lower', interpolation='nearest',
           norm=norm)
ax4.set_title('IRAC Ch4 PSF')
plt.tight_layout()
plt.show()

(Source code, png, hires.png, pdf, svg)