| | 109 | |
| | 110 | Here's the breakdown by filter: |
| | 111 | |
| | 112 | {{{ |
| | 113 | mysql> select filter, count(*), min(fwhm_major), max(fwhm_major) from camRun join camProcessedExp using (cam_id) join chipRun using (chip_id) join rawExp using (exp_id) where camRun.label = 'SAS.v0' and sigma_ra < 1 and n_astrom > 0 and fwhm_major < 5 group by filter; |
| | 114 | +--------+----------+-----------------+-----------------+ |
| | 115 | | filter | count(*) | min(fwhm_major) | max(fwhm_major) | |
| | 116 | +--------+----------+-----------------+-----------------+ |
| | 117 | | g | 284 | 3.01373 | 3.65707 | |
| | 118 | | i | 719 | 1.41724 | 4.91196 | |
| | 119 | | r | 311 | 1.6642 | 4.58159 | |
| | 120 | | z | 42 | 1.48253 | 1.67822 | |
| | 121 | +--------+----------+-----------------+-----------------+ |
| | 122 | 4 rows in set (0.03 sec) |
| | 123 | }}} |
| | 124 | |
| | 125 | I'm a little surprised at the lack of y, but y is horrible to process with skyprobe, so I'm not going to worry about it for now... Clearly, there are a lot of images in gri, and a few in z (?). This should be enough to stack. I can sort by skycells: |