| | 1 | == SAS Astrometry & Photometry Test (2010.03.10) == |
| | 2 | |
| | 3 | ~ Eugene Magnier |
| | 4 | |
| | 5 | I've done some work to test out the relative photometry and astrometry |
| | 6 | calibration system using the SAS data. I'm sending some example plots |
| | 7 | from that analysis, and the script used to run relastro and relphot |
| | 8 | the database. Hopefully this will provide more light than smoke... |
| | 9 | |
| | 10 | The first figure shows the SAS field: black boxes are the outer bounds |
| | 11 | of the GPC1 focal plane, red is just the sky grid, blue is the region |
| | 12 | used to generate the rest of the plots. |
| | 13 | |
| | 14 | I ran the attached script (run.relastro) which has a section for |
| | 15 | 'relastro' and a second one for 'relphot'. These analysis were used |
| | 16 | for the entire SAS DVO database. The dvo shell script (input) was |
| | 17 | used to generate the plots, for which I restricted the analysis to the |
| | 18 | blue box (partly to avoid edge effects and partly just for speed and |
| | 19 | memory footprint). |
| | 20 | |
| | 21 | Some notes about the analysis: I did not tune any of the clipping |
| | 22 | parameters. The relative astrometry analysis only iterates over the |
| | 23 | two steps of [update the object positions, update the chip-level |
| | 24 | portion of the astrometry model]. I suspect the parameters for |
| | 25 | choosing the set of calibration stars (S/N limit, instrumental |
| | 26 | magnitudes) is poorly chosen because a number of these fields has |
| | 27 | surprisingly few reference stars (according to the log). Also, I |
| | 28 | suspect the choices do not do a good job of tossing out the saturated |
| | 29 | measurements (which are not all labeled with the SATURATED bit). |
| | 30 | There is also something very sub-optimal about the database level |
| | 31 | interactions for joining the detections to their images: relastro ran |
| | 32 | very slowly, and much of the time was spent in making associations |
| | 33 | which should be must faster (the indexes are still being ignored). |
| | 34 | |
| | 35 | Aside from those issues, this analysis looks very encouraging. The |
| | 36 | plots show the RA and magnitude residuals for the bright, unsaturated |
| | 37 | portion of the data (15.5.-17.0 mags for griz, 12.5-15.0 for y-band). |
| | 38 | You will notice that the photometric residuals are all in the range |
| | 39 | 1.1 - 1.3%, which look really good. Note: no chip-to-chip color terms |
| | 40 | have been applied, though each chip has been allowed to float. This |
| | 41 | last point is interesting: in general, if the weather is photometric |
| | 42 | and we have solved for the flat-field correction, we should fix the |
| | 43 | chips since there is not enough overlap to constrain them very well. |
| | 44 | Only if we think the weather is non-photometric for some images should |
| | 45 | we let the chips float (or fit a higher-order model). |
| | 46 | |
| | 47 | Note that the weather was good, except on part of one of the nights. |
| | 48 | We recover this last feature very well in the last plot |
| | 49 | (stormy.weather.png), where I show zero point offsets vs time. |
| | 50 | |
| | 51 | As for astrometry, the residuals are OK (20-27 mas), but I suspect we |
| | 52 | can do better by tweaking the parameters. The nice result here is |
| | 53 | that we can get quite good measurements with almost no effort in |
| | 54 | tuning the analysis. |