Difference between revisions of "HRRL-03-17-2011-fit-error-ana"
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(Created page with ' Followings are data after fitting images I got. These data are the sigma (rms) of the super-Gaussian fitting, for the electron beam image. They are in pixel unit. From the data…') |
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| + | [https://wiki.iac.isu.edu/index.php/HRRL_03-17-2011#With_thin_lens_approximation_method Go back] | ||
Followings are data after fitting images I got. These data are the sigma (rms) of the super-Gaussian fitting, for the electron beam image. They are in pixel unit. | Followings are data after fitting images I got. These data are the sigma (rms) of the super-Gaussian fitting, for the electron beam image. They are in pixel unit. | ||
| Line 10: | Line 11: | ||
= Data = | = Data = | ||
| + | |||
| + | == Examples == | ||
| + | ===Scan Current -2.00=== | ||
| + | |||
| + | V=[sig_x(6,:)',sig_y(6,:)'] | ||
| + | V = | ||
| + | 53.4182 42.0102 | ||
| + | 52.6788 41.4027 | ||
| + | 52.3318 39.8134 | ||
| + | 52.9486 39.7293 | ||
| + | 52.6714 40.2054 | ||
| + | 52.4353 41.1214 | ||
| + | 52.3231 41.1394 | ||
| + | |||
| + | [[File:hrrl-emit-y-prof-big-err-ana.png | 500 px]] | ||
| + | |||
| + | ===Other Examples === | ||
| + | |||
| + | V=[sig_x(16,:)',sig_y(16,:)'] | ||
| + | V = | ||
| + | 44.0115 40.3589 | ||
| + | 43.5656 39.8155 | ||
| + | 43.7984 40.6379 | ||
| + | 43.6525 39.0963 | ||
| + | 43.8725 39.3260 | ||
| + | 43.6928 40.7139 | ||
| + | 43.6312 40.5133 | ||
| + | |||
| + | V=[sig_x(26,:)',sig_y(26,:)'] | ||
| + | V = | ||
| + | 38.8291 43.2795 | ||
| + | 39.3348 44.5998 | ||
| + | 39.1682 45.4537 | ||
| + | 39.7081 43.7739 | ||
| + | 39.1740 44.4580 | ||
| + | 39.3295 45.2239 | ||
| + | 39.2697 45.0546 | ||
| + | |||
| + | |||
==sig_y== | ==sig_y== | ||
| Line 138: | Line 178: | ||
40.2411 | 40.2411 | ||
39.9576 | 39.9576 | ||
| + | |||
| + | [https://wiki.iac.isu.edu/index.php/HRRL_03-17-2011#With_thin_lens_approximation_method Go back] | ||
Latest revision as of 08:39, 4 April 2012
Followings are data after fitting images I got. These data are the sigma (rms) of the super-Gaussian fitting, for the electron beam image. They are in pixel unit.
From the data we can see that sigma (rms) of Y-projection are more spread, ie. has bigger standard deviation, than the of X-projection.
I think this is due to the beam profile in Y-projection contains less pixels than X- projection. (This is due to Y-projection observed with 45 degree angle, so Y-profile got squeezed).
So, Y-projection has less data for fitting, thus this creates bigger standard deviation for sigma (rms) value of the Y-projection.
Data
Examples
Scan Current -2.00
V=[sig_x(6,:)',sig_y(6,:)'] V = 53.4182 42.0102 52.6788 41.4027 52.3318 39.8134 52.9486 39.7293 52.6714 40.2054 52.4353 41.1214 52.3231 41.1394
Other Examples
V=[sig_x(16,:)',sig_y(16,:)'] V = 44.0115 40.3589 43.5656 39.8155 43.7984 40.6379 43.6525 39.0963 43.8725 39.3260 43.6928 40.7139 43.6312 40.5133
V=[sig_x(26,:)',sig_y(26,:)'] V = 38.8291 43.2795 39.3348 44.5998 39.1682 45.4537 39.7081 43.7739 39.1740 44.4580 39.3295 45.2239 39.2697 45.0546
sig_y
ans =
Columns 1 through 6
42.2362 42.5862 41.4363 40.7984 40.5781 42.0102 42.8432 42.5230 42.2562 41.0488 41.0408 41.4027 40.9867 42.0619 41.8279 40.6385 39.9443 39.8134 40.6418 41.1698 39.8651 40.2531 39.9620 39.7293 41.4117 43.3210 41.3430 39.8634 40.1429 40.2054 43.5686 42.4641 42.1411 40.3618 40.9855 41.1214 43.1452 41.6849 41.8198 41.2401 41.0329 41.1394
Columns 7 through 12
40.1363 40.4423 39.3089 39.0079 40.0994 39.7462 40.3803 40.2116 40.2316 39.8870 39.3986 38.9503 39.4660 39.5327 40.1774 40.1260 39.4720 40.0648 39.3911 38.3882 39.3313 38.8733 38.6890 39.0388 39.4644 40.0347 39.6176 39.6716 39.0263 39.2982 41.9006 39.7029 40.1429 39.2387 40.2394 40.6941 40.5896 40.5801 40.3792 39.7173 40.2535 39.0049
Columns 13 through 18
39.6814 40.0409 39.9497 40.3589 41.6251 41.3629 40.2519 40.1951 40.4002 39.8155 40.2671 40.8325 39.2974 39.4905 40.3512 40.6379 40.4390 41.1352 39.4519 38.7722 39.5048 39.0963 39.9297 39.6736 39.4584 39.9660 40.1200 39.3260 39.3389 40.0520 40.3398 40.8941 41.0482 40.7139 40.1787 41.6581 39.6458 40.0141 40.8396 40.5133 41.1001 40.3030
Columns 19 through 24
40.8839 41.0510 42.6378 42.6591 41.9686 43.2696 41.4536 42.2499 41.8480 41.8344 42.1475 43.8288 41.5670 41.6958 41.9320 42.9299 42.9902 44.4371 40.5738 39.1509 41.0872 41.3494 42.3497 42.1499 41.0491 40.4748 40.9623 41.2936 43.2125 43.5557 42.4095 42.4440 43.5395 43.7092 44.1884 45.2852 41.9471 42.0490 42.6696 43.3656 43.9589 44.9338
Columns 25 through 30
43.3945 43.2795 45.2918 45.2683 46.0860 47.0622 43.8377 44.5998 45.4853 45.7957 45.6485 47.5075 44.3256 45.4537 45.8318 45.9686 47.4039 46.4006 44.2940 43.7739 43.8458 44.8241 46.3123 47.1092 43.5046 44.4580 45.3270 44.9765 45.5788 46.3149 45.3441 45.2239 46.5795 47.2898 46.8373 46.5048 45.4614 45.0546 46.4330 46.6146 47.0671 47.6553
Column 31
47.5426 48.7745 48.0932 46.7647 46.5865 48.0767 48.4505
sig_x
ans =
Columns 1 through 6
58.5469 57.0309 56.4855 54.9864 54.3867 53.4182 57.8599 56.7720 55.5703 54.9572 53.6933 52.6788 56.2267 55.9048 55.4824 54.1255 53.0805 52.3318 57.4481 56.4372 55.7643 54.4256 53.4663 52.9486 57.2575 56.0395 55.0674 54.3565 53.3015 52.6714 57.3984 56.4432 55.5591 54.3333 53.4407 52.4353 57.2688 56.3993 55.5582 54.7040 53.6861 52.3231
Columns 7 through 12
52.2624 51.1838 49.7036 49.2442 48.2924 47.6821 51.2357 50.5660 49.5454 48.7951 47.9216 46.7483 51.2027 50.3999 49.6916 48.5433 47.7783 46.3039 51.3760 50.0240 49.4146 48.7383 47.8996 46.7620 51.4416 50.6063 49.4335 48.6179 48.0801 46.7803 51.4326 50.4026 49.6251 48.8763 47.6445 47.2187 51.5955 50.9246 49.7193 48.5577 48.0401 47.0092
Columns 13 through 18
46.4037 45.6824 45.0259 44.0115 43.0097 42.5585 46.3703 45.2318 44.5099 43.5656 43.1263 42.5650 46.2068 45.5989 44.3762 43.7984 42.7541 42.0201 45.8564 45.3265 44.5286 43.6525 43.0707 42.5474 46.2192 45.3172 44.2489 43.8725 42.7820 42.5925 45.9510 44.9174 44.2901 43.6928 42.7743 42.5136 45.9699 45.3366 44.6569 43.6312 42.8199 42.3034
Columns 19 through 24
41.9983 41.2115 40.5606 40.6618 39.9021 39.7640 41.5995 41.3772 40.9215 40.6037 40.3696 39.8386 41.5138 40.9141 40.9717 40.4180 39.7895 39.2242 41.6112 40.9250 40.3404 40.0924 39.7975 39.8885 41.7692 40.9021 41.0668 39.9695 39.5293 39.2965 41.5129 40.9869 41.1635 40.0297 39.9950 39.6508 41.8770 41.3289 40.8872 40.2962 39.8315 39.3695
Columns 25 through 30
39.1846 38.8291 39.1634 38.8664 38.7292 39.4828 39.7251 39.3348 39.4741 39.5937 39.7092 39.7271 39.7121 39.1682 39.1497 39.6613 39.3210 40.0253 39.3721 39.7081 39.2449 39.5551 39.4977 39.7915 39.5331 39.1740 39.2753 39.5351 39.8399 39.9026 39.4359 39.3295 39.1483 39.3554 39.4549 39.9204 39.1698 39.2697 39.6177 39.4633 39.6953 39.8468
Column 31
39.3459 40.1703 39.9131 40.5372 40.0596 40.2411 39.9576