Sample Galaxies

These galaxies are all taken from Brent-9060 HI catalog, when cross-matching with other catalogs.

A few galaxies to work with.

This is the my photometry compared with that of Don and Mark ... We are both using SDSS data and GLGA pipeline ...

  • (see below for the table)

One of the most deviant points belongs to PGC-39241 ... Looking at the below figure, the difference in masking and taking care of cosmetic can be the source of deviation. Also it's been observed that for the cases with high degree of masking within the red totted aperture, the sensitivity to the Position Angle of the ellipse increases, since the pixel value of the masked regions is estimated using the isophots.

http://www.ifa.hawaii.edu/~ehsan/test/pgc39241_sdss_images.jpghttp://www.ifa.hawaii.edu/~ehsan/test/pgc39241_sdss_profile.jpg


http://skyservice.pha.jhu.edu/DR12/ImgCutout/getjpeg.aspx

http://www.ifa.hawaii.edu/~ehsan/test/pgc42833_sdss_images.jpghttp://www.ifa.hawaii.edu/~ehsan/test/pgc42833_sdss_profile.jpg


no PGC u g r i z * u.ehsan g.ehsan r.ehsan i.ehsan z.ehsan profile images
1 28630 8.184 7.406 6.626 6.181 5.759 * 8.839 7.416 6.641 6.191 6.297 profile images
2 39600 9.891 8.654 8.055 7.711 7.355 * 9.781 8.663 8.077 7.731 7.349 profile images
3 46153 10.207 8.942 8.259 7.865 7.662 * 9.857 8.915 8.238 7.815 7.618 profile images
4 34695 10.503 9.188 8.551 8.205 7.982 * 10.463 9.171 8.534 8.201 8.026 profile images
5 32192 11.22 9.684 8.931 8.544 8.185 * 11.07 9.678 8.934 8.54 8.312 profile images
6 26512 11.093 9.686 8.921 8.486 8.222 * 11.152 9.669 8.92 8.487 8.215 profile images
7 41517 11.412 9.966 9.209 8.793 8.486 * 11.437 9.981 9.218 8.774 8.447 profile images
8 42168 11.365 10.039 9.285 8.837 8.632 * 11.527 10.056 9.303 8.872 8.659 profile images
9 40153 10.837 9.685 9.087 8.726 8.668 * 10.753 9.709 9.141 8.8 8.674 profile images
10 32007 11.39 10.093 9.408 9.028 8.799 * 11.406 10.098 9.409 9.04 8.796 profile images
11 41024 11.579 10.473 9.75 9.283 9.034 * 11.647 10.489 9.73 9.3 9.061 profile images
12 37617 11.838 10.374 9.708 9.324 9.121 * 11.509 10.412 9.727 9.304 9.129 profile images
13 37306 11.999 10.597 9.841 9.439 9.188 * 12.045 10.599 9.834 9.45 9.188 profile images
14 41934 11.905 10.602 9.837 9.416 9.209 * 11.888 10.606 9.841 9.419 9.22 profile images
15 41812 11.395 10.274 9.729 9.402 9.251 * 11.159 10.278 9.734 9.362 9.289 profile images
16 40692 11.801 10.528 9.845 9.467 9.255 * 11.798 10.523 9.84 9.465 9.261 profile images
17 28120 11.429 10.458 9.861 9.549 9.346 * 11.552 10.472 9.865 9.56 9.344 profile images
18 41789 12.384 10.961 10.182 9.723 9.37 * 12.36 10.944 10.162 9.716 9.358 profile images
19 38068 11.609 10.589 10.033 9.73 9.527 * 11.609 10.59 10.029 9.722 9.496 profile images
20 35616 11.345 10.847 10.117 9.713 9.532 * 11.813 10.877 10.197 9.783 9.656 profile images
21 43254 12.231 10.931 10.192 9.774 9.547 * 12.226 10.979 10.234 9.82 9.574 profile images
22 41823 11.916 10.759 10.189 9.873 9.566 * 11.924 10.764 10.198 9.881 9.549 profile images
23 42408 11.538 10.474 10.016 9.741 9.643 * 11.507 10.467 10.005 9.735 9.645 profile images
24 38302 12.014 10.83 10.24 9.902 9.742 * 11.963 10.821 10.246 9.909 9.739 profile images
25 35676 11.739 10.64 10.138 9.856 9.755 * 11.765 10.644 10.136 9.855 9.753 profile images
26 42857 11.897 10.789 10.275 9.973 9.792 * 11.915 10.82 10.302 9.999 9.824 profile images
27 30197 11.923 10.787 10.307 10.05 9.817 * 11.908 10.811 10.323 10.052 9.857 profile images
28 42833 11.993 10.948 10.355 10.071 9.835 * 12.17 11.075 10.489 10.174 10.033 profile images
29 36875 11.83 10.824 10.364 10.11 9.963 * 11.762 10.812 10.355 10.103 9.947 profile images
30 38392 13.025 11.541 10.781 10.369 10.086 * 13.027 11.545 10.784 10.371 10.092 profile images
31 38795 12.997 11.591 10.844 10.366 10.09 * 12.806 11.573 10.831 10.357 10.073 profile images
32 39241 13.104 11.609 10.822 10.349 10.123 * 12.733 11.414 10.699 10.238 10.048 profile images
33 36699 12.929 11.521 10.774 10.371 10.145 * 12.923 11.527 10.776 10.367 10.094 profile images
34 40772 13.274 11.68 10.897 10.455 10.176 * 13.287 11.681 10.903 10.455 10.176 profile images
35 38370 12.726 11.456 10.801 10.439 10.197 * 12.729 11.463 10.806 10.444 10.206 profile images
36 40581 12.85 11.356 10.746 10.381 10.233 * 12.843 11.372 10.759 10.395 10.235 profile images
37 37691 13.417 11.917 11.061 10.557 10.248 * 13.438 11.911 11.051 10.547 10.237 profile images
38 32183 11.906 10.963 10.587 10.329 10.319 * 11.881 10.948 10.604 10.387 10.288 profile images
39 38643 13.194 11.707 10.957 10.552 10.34 * 13.145 11.676 10.936 10.54 10.322 profile images
40 39285 13.519 11.887 11.089 10.661 10.389 * 13.509 11.875 11.084 10.653 10.383 profile images
41 35088 12.686 11.571 10.957 10.619 10.399 * 12.726 11.572 10.955 10.621 10.401 profile images
42 42100 12.929 11.556 10.932 10.552 10.421 * 13.016 11.587 10.961 10.576 10.42 profile images
43 37290 12.229 11.257 10.864 10.637 10.544 * 12.213 11.232 10.836 10.606 10.505 profile images
44 40507 13.472 11.97 11.251 10.86 10.625 * 13.413 11.973 11.251 10.853 10.586 profile images
45 35711 13.19 11.849 11.198 10.843 10.649 * 13.151 11.815 11.166 10.803 10.622 profile images
46 37719 14.066 12.436 11.494 11.009 10.691 * 14.074 12.431 11.487 11.004 10.687 profile images
47 40644 13.602 12.16 11.423 10.983 10.75 * 13.67 12.186 11.438 11.011 10.78 profile images
48 42741 13.279 11.918 11.315 10.974 10.801 * 13.281 11.921 11.318 10.977 10.799 profile images
49 40095 13.549 12.148 11.481 11.099 10.935 * 13.598 12.163 11.495 11.115 10.951 profile images
50 31671 12.414 11.584 11.25 11.042 11.023 * 12.393 11.619 11.277 11.071 11.018 profile images
51 37036 13.588 12.267 11.625 11.243 11.053 * 13.58 12.271 11.629 11.251 11.052 profile images
52 45314 12.408 11.526 11.163 10.957 11.063 * 11.971 11.602 11.227 10.974 11.006 profile images
53 698 13.83 12.396 11.699 11.335 11.064 * 13.811 12.387 11.693 11.331 11.082 profile images

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  • This table is produced by: wise_test_results.py
Last modified 5 years ago Last modified on Jul 28, 2016, 10:04:55 PM

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