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Merge pull request #233 from camipacifici/updates-background-nb
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background notebook: updates requirements and screenshots
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camipacifici authored Jul 11, 2024
2 parents 52828ef + ae1917f commit 6460009
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" Tophat2DKernel, convolve)\n",
"from astropy.modeling import fitting, models\n",
"from astropy.nddata.blocks import block_reduce\n",
"from astropy.stats import SigmaClip, gaussian_fwhm_to_sigma\n",
"from astropy.stats import SigmaClip\n",
"from astropy.table import Table\n",
"from IPython.display import Video\n",
"from IPython.display import Image\n",
"from jdaviz import Imviz\n",
"from photutils.background import (Background2D, BiweightLocationBackground,\n",
"from photutils.background import (Background2D,\n",
" BkgIDWInterpolator, BkgZoomInterpolator,\n",
" MedianBackground, SExtractorBackground)\n",
" MedianBackground)\n",
"from photutils.datasets import make_gaussian_sources_image\n",
"from photutils.segmentation import detect_sources, make_2dgaussian_kernel\n",
"from photutils.utils import ShepardIDWInterpolator as idw\n",
"from scipy import interpolate, ndimage, stats\n",
"from scipy.ndimage import median_filter"
]
},
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"metadata": {},
"outputs": [],
"source": [
"imviz.app"
"imviz.load_data(noiseless_sky, data_label='noiseless_sky_background')"
]
},
{
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"metadata": {},
"outputs": [],
"source": [
"imviz.load_data(noiseless_sky, data_label='noiseless_sky_background')"
"imviz.show()"
]
},
{
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"metadata": {},
"outputs": [],
"source": [
"imviz2.app"
"imviz2.show()"
]
},
{
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"cell_type": "markdown",
"metadata": {},
"source": [
"## Video:\n",
"\n",
"Link two images in different windows by pixel and manipulate image."
"The two images are linked by pixel by default. Click on the zoom/pan tool to take a closer look at the images. The two images will zoom and pan syncronously."
]
},
{
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"metadata": {},
"outputs": [],
"source": [
"# Video showing how to link two images in pixel space using plugin\n",
"Video(url='https://data.science.stsci.edu/redirect/JWST/jwst-data_analysis_tools/Background_Estimation/imviz_demo_1.mov', width=700, height=500)"
"Image('./imviz_2images.png', alt='Imviz with two viewers. Highlighted tool for linked zoom and pan.')"
]
},
{
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"cell_type": "markdown",
"metadata": {},
"source": [
"## Check for bias in due to the galaxies\n",
"## Check for bias due to the galaxies\n",
"\n",
"Since we are dealing with a simulation, where we know truth, we can evaluate the biases directly. (In the case of a real image, we can't do that; we'll suggest another test further down). \n",
"\n",
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]
},
{
"cell_type": "raw",
"cell_type": "markdown",
"metadata": {},
"source": [
"Plot the residuals vs. source radius, separately for the masked, unmasked, and randomized source positions. The sizes of the markers are proportional to the fluxes of the sources."
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"source": [
"plt.figure(figsize=(10, 6))\n",
"perfect = rms['perfect']\n",
"plt.plot(rms['widths'], rms['bkg1']/perfect, alpha=0.5,label='bkg1')\n",
"plt.plot(rms['widths'], rms['bkg1']/perfect, alpha=0.5, label='bkg1')\n",
"plt.plot(rms['widths'], rms['bkg2']/perfect, alpha=0.5, label='bkg2')\n",
"plt.plot(rms['widths'], rms['bkg3']/perfect, alpha=0.5, label='bkg3')\n",
"plt.plot(rms['widths'], rms['bkg4']/perfect, alpha=0.5, label='bkg4')\n",
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.5"
"version": "3.11.9"
}
},
"nbformat": 4,
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astropy >= 5.3.3
matplotlib >= 3.7.2
scipy >= 1.11.2
photutils >= 1.9.0
numpy >= 2.0.0
astropy >= 6.1.1
matplotlib >= 3.9.1
scipy >= 1.14.0
photutils >= 1.13.0
scikit-image >= 0.21.0
jdaviz >= 3.6.2
jdaviz >= 3.10.2

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