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updating image stamps nb
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DP1/100_How_to_Use_RSP_Tools/103_Image_access_and_display/103_5_Image_stamps.ipynb

Lines changed: 11 additions & 132 deletions
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@@ -718,6 +718,17 @@
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" return fig, axes[:n_subplots]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "96462574-05d0-4827-9c6e-95494307f316",
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"metadata": {},
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"outputs": [],
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"source": [
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"import sys\n",
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"sys.exit()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
@@ -828,138 +839,6 @@
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"make_gif(tempdir)\n",
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"display(dimg(data=open(tempdir+'/animation.gif', 'rb').read()))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "8364f14c-5056-413f-b796-ad0dad6e2432",
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"metadata": {},
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"outputs": [],
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"source": [
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"import sys\n",
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"sys.exit()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "0f78775c-d83d-400d-8d48-1bd9527be028",
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"metadata": {
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"scrolled": true
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},
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"outputs": [],
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"source": [
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"primary_header = scihdul[0].header\n",
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"wcs_sci = WCS(sci_header)\n",
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"cd_sci = wcs_sci.wcs.cd\n",
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"theta_rad = np.arctan2(cd_sci[0,1], cd_sci[0,0])\n",
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"theta_deg = np.degrees(theta_rad)\n",
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"\n",
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"print(\"method 1 for rot angle:\", theta_deg) #cd_sci, theta_rad, \n",
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"\n",
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"# Get the pixel scale matrix\n",
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"cd_sci = wcs_sci.pixel_scale_matrix\n",
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"# Rotation angle (radians → degrees)\n",
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"theta_sci = np.degrees(np.arctan2(cd_sci[0,1], cd_sci[0,0]))\n",
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"print(f\"Rotation angle: {theta_sci:.3f} deg\")\n",
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"\n",
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"print('rotation angle in header: ', primary_header['ROTPA'])\n",
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"#print(sci_header['ROTPA'])\n",
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"theta_sci = 180 - primary_header['ROTPA']\n",
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"\n",
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"\n",
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"fig = plt.figure(figsize=(6, 6))\n",
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"ax = fig.add_subplot(111, projection=wcs_sci)\n",
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"ax.imshow(sci_hdu.data, cmap='gray', norm='asinh', origin='lower')\n",
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"\n",
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"wcs_ref = WCS(ref_header)\n",
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"\n",
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"# Get the pixel scale matrix\n",
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"cd_ref = wcs_ref.pixel_scale_matrix\n",
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"# Rotation angle (radians → degrees)\n",
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"theta_ref = np.degrees(np.arctan2(cd_ref[0,1], cd_ref[0,0]))\n",
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"print(f\"Rotation angle: {theta_ref:.3f} deg\")\n",
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"\n",
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"# instead of doing the above, grab the header keyword:\n",
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"# ROTPA which is 180-theta_ref\n",
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"\n",
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"fig = plt.figure(figsize=(6, 6))\n",
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"ax = fig.add_subplot(111, projection=wcs_ref)\n",
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"ax.imshow(ref_hdu.data, cmap='gray', norm='asinh', origin='lower')\n"
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]
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},
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{
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"cell_type": "markdown",
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"id": "7313a3a3-6401-4f43-ac8d-9e1f6970da53",
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"metadata": {},
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"source": [
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"### 5.4. Warp the template\n",
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"\n",
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"The `template_coadd` needs to be warped to match the orientation of the science and difference cutouts. Perform the image warping of the `template_coadd` cutout using the `Warper` from `lsst.afw.math`. The warped reference image is defined as `warped_ref`."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "7663f1d6-9d07-43eb-83c4-ab34244fdf99",
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"metadata": {},
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"outputs": [],
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"source": [
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"warper_config = WarperConfig()\n",
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"warper = Warper.fromConfig(warper_config)\n",
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"\n",
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"sci_wcs = sci.getWcs()\n",
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"sci_bbox = sci.getBBox()\n",
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"\n",
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"warped_ref = warper.warpExposure(sci_wcs, ref, destBBox=sci_bbox)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "db5865c9-7cd4-4bb2-9bf7-5fb550d4df41",
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"metadata": {},
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"source": [
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"### 5.5. Display the cutout triplet\n",
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"\n",
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"Display the science, reference, and difference cutouts for the SNIa candidate associated with the DiaObject 611255759837069401."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "cecaaa36-ec2d-462c-b2ed-cc2f47100b36",
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"metadata": {},
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"outputs": [],
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"source": [
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"fig, ax = plt.subplots(1, 3, figsize=(8, 3))\n",
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"plt.sca(ax[0])\n",
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"display1 = afwDisplay.Display(frame=fig)\n",
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"display1.scale('linear', 'zscale')\n",
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"display1.mtv(sci.image)\n",
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"plt.title('science')\n",
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"plt.sca(ax[1])\n",
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"display2 = afwDisplay.Display(frame=fig)\n",
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"display2.scale('linear', 'zscale')\n",
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"display2.mtv(warped_ref.image)\n",
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"plt.title('template')\n",
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"plt.sca(ax[2])\n",
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"display3 = afwDisplay.Display(frame=fig)\n",
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"display3.scale('linear', 'zscale')\n",
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"display3.mtv(diff.image)\n",
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"ax[0].set_axis_off()\n",
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"ax[1].set_axis_off()\n",
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"ax[2].set_axis_off()\n",
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"plt.title('difference')\n",
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"plt.tight_layout()\n",
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"fig.suptitle('DiaObject 611255759837069401, MJD='+str(np.round(scitab['t_max'][0], 2)))\n",
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"plt.show()"
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]
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},
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{
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"cell_type": "markdown",
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"id": "6f6f513b-cb08-47ba-b8aa-ea18d18fa320",
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"metadata": {},
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"source": []
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}
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],
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"metadata": {

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