Sep 2 2:44 [a031.0001.fits[*,1,1]]: avg: 6528. rms: 126.6 snr: 51.55 avg: 4805. rms: 98.79 snr: 48.64 Sep 2 2:50 [a032.0001.fits[*,1,1]]: avg: 4868. rms: 143.8 snr: 33.85 avg: 6867. rms: 136.6 snr: 50.29 avg: 4975. rms: 131.8 snr: 37.74 Sep 2 2:57 [a033.0001.fits[*,1,1]]: avg: 4659. rms: 113.3 snr: 41.11 avg: 7579. rms: 141.5 snr: 53.56 Sep 2 3:11 [a034.0001.fits[*,1,1]]: avg: 2151. rms: 85.47 snr: 25.17 avg: 1587. rms: 72.19 snr: 21.99 avg: 1573. rms: 63.67 snr: 24.70 Sep 2 3:22 [a035.0001.fits[*,1,1]]: avg: 1631. rms: 62.2 snr: 26.22 avg: 2130. rms: 57.41 snr: 37.10 Sep 2 3:31 [a036.0001.fits[*,1,1]]: avg: 2115. rms: 91.08 snr: 23.22 avg: 1369. rms: 58.84 snr: 23.27 Sep 2 3:43 [a037.0001.fits[*,1,1]]: avg: 2570. rms: 131.5 snr: 19.55 avg: 4335. rms: 151.9 snr: 28.53 avg: 2537. rms: 135.3 snr: 18.76 avg: 2636. rms: 112.1 snr: 23.51 Sep 2 3:49 [a038.0001.fits[*,1,1]]: avg: 2867. rms: 127.6 snr: 22.48 avg: 4541. rms: 114.7 snr: 39.59 Sep 2 3:57 [a039.0001.fits[*,1,1]]: avg: 2513. rms: 108. snr: 23.26 avg: 5073. rms: 3189. snr: 1.59 avg: 4256. rms: 135.7 snr: 31.37 avg: 2542. rms: 125. snr: 20.34 Sep 2 4:14 [a040.0001.fits[*,1,1]]: avg: 4655. rms: 204.4 snr: 22.77 avg: 8306. rms: 247.3 snr: 33.59 Sep 2 4:20 [a040.0001.fits[*,1,1]]: avg: 8368. rms: 222.8 snr: 37.55 avg: 4559. rms: 146.4 snr: 31.14 Sep 2 4:23 [a041.0001.fits[*,1,1]]: avg: 4389. rms: 131.1 snr: 33.49 avg: 7622. rms: 190.2 snr: 40.08 Sep 2 4:34 [a042.0001.fits[*,1,1]]: avg: 4702. rms: 161.3 snr: 29.15 avg: 8330. rms: 246.6 snr: 33.78 Sep 2 4:45 [a043.0001.fits[*,1,1]]: avg: 2292. rms: 98.85 snr: 23.19 avg: 4199. rms: 114.7 snr: 36.59 avg: 2279. rms: 99.69 snr: 22.86 avg: 2301. rms: 92. snr: 25.01 Sep 2 4:51 [a044.0001.fits[*,1,1]]: avg: 2211. rms: 128.1 snr: 17.27 avg: 3312. rms: 174.8 snr: 18.94 avg: 2218. rms: 118.6 snr: 18.70 avg: 2250. rms: 138.4 snr: 16.25 Sep 2 4:56 [a045.0001.fits[*,1,1]]: avg: 2303. rms: 96.89 snr: 23.77 avg: 3338. rms: 137.8 snr: 24.22 avg: 2304. rms: 116.1 snr: 19.85 avg: 3404. rms: 174.2 snr: 19.54 avg: 2315. rms: 108.7 snr: 21.30 Sep 2 5:02 [a046.0001.fits[*,1,1]]: avg: 2224. rms: 108.9 snr: 20.41 avg: 3220. rms: 171. snr: 18.83 Sep 2 5:19 [a047.0001.fits[*,1,1]]: avg: 3199. rms: 152.8 snr: 20.93 avg: 4617. rms: 142.8 snr: 32.33 Sep 2 5:29 [a048.0001.fits[*,1,1]]: avg: 3168. rms: 182.3 snr: 17.38 avg: 4636. rms: 156.6 snr: 29.61 Sep 2 5:40 [a049.0001.fits[*,1,1]]: avg: 3692. rms: 180. snr: 20.51 avg: 5346. rms: 163.5 snr: 32.70 Sep 2 5:56 [a050.0001.fits[*,1,1]]: avg: 3136. rms: 109.5 snr: 28.63 avg: 3045. rms: 98.45 snr: 30.93 avg: 3137. rms: 105.1 snr: 29.83 Sep 2 6:09 [a051.0001.fits[*,1,1]]: avg: 2269. rms: 140.1 snr: 16.19 avg: 2136. rms: 100.8 snr: 21.19 Sep 2 6:09 [a052.0001.fits[*,1,1]]: avg: 3041. rms: 80.09 snr: 37.97 avg: 2875. rms: 75.26 snr: 38.20 Sep 2 6:52 [a057.0001.fits[*,1,1]]: avg: 2490. rms: 140.9 snr: 17.67 avg: 3576. rms: 116. snr: 30.83 Sep 2 6:57 [a058.0001.fits[*,1,1]]: avg: 2894. rms: 133. snr: 21.76 avg: 4359. rms: 141. snr: 30.93 Sep 2 7:12 [a059.0001.fits[*,1,1]]: avg: 3729. rms: 138.5 snr: 26.91 avg: 2387. rms: 169.3 snr: 14.10 Sep 2 7:30 [a060.0001.fits[*,1,1]]: avg: 1368. rms: 114.4 snr: 11.96 avg: 1733. rms: 107.9 snr: 16.06 avg: 1322. rms: 93.9 snr: 14.08 Sep 2 7:40 [a061.0001.fits[*,1,1]]: avg: 1720. rms: 151. snr: 11.39 avg: 1400. rms: 93.98 snr: 14.90 Sep 2 7:52 [a062.0001.fits[*,1,1]]: avg: 1750. rms: 99.98 snr: 17.51 avg: 1438. rms: 90.34 snr: 15.92 Sep 2 8:03 [a063.0001.fits[*,1,1]]: avg: 1654. rms: 125.4 snr: 13.19 avg: 1369. rms: 72.3 snr: 18.94 Sep 2 8:23 [a064.0001.fits[*,1,1]]: avg: 3117. rms: 125.1 snr: 24.91 avg: 4150. rms: 105.4 snr: 39.38 Sep 2 8:29 [a066.0001.fits[*,1,1]]: avg: 3126. rms: 141.7 snr: 22.06 avg: 4062. rms: 127.9 snr: 31.76 Sep 2 8:44 [a067.0001.fits[*,1,1]]: avg: 300.1 rms: 41.74 snr: 7.19 avg: 369.3 rms: 47.17 snr: 7.83 avg: 360.6 rms: 50.47 snr: 7.14 avg: 332.3 rms: 33.33 snr: 9.97 avg: 344.1 rms: 42.63 snr: 8.07 Sep 2 8:51 [a068.0001.fits[*,1,1]]: avg: 537.5 rms: 90.62 snr: 5.93 avg: 744. rms: 96.9 snr: 7.68 avg: 747. rms: 103.6 snr: 7.21 avg: 668.1 rms: 92.42 snr: 7.23 avg: 645.1 rms: 73.05 snr: 8.83 avg: 658.8 rms: 112. snr: 5.88 Sep 2 8:59 [a069.0001.fits[*,1,1]]: avg: 741.5 rms: 110.6 snr: 6.71 avg: 622.7 rms: 94.81 snr: 6.57 avg: 557.9 rms: 79.99 snr: 6.97 Sep 2 9:05 [a070.0001.fits[*,1,1]]: avg: 777.6 rms: 110.6 snr: 7.03 avg: 696.1 rms: 118.5 snr: 5.87 avg: 536.2 rms: 99.62 snr: 5.38 avg: 511.2 rms: 88.71 snr: 5.76 avg: 1518. rms: 408.9 snr: 3.71 avg: 1610. rms: 138.8 snr: 11.60 avg: 730.2 rms: 77.04 snr: 9.48 Sep 2 9:15 [a071.0001.fits[*,1,1]]: avg: 5581. rms: 132.5 snr: 42.12 avg: 8015. rms: 152.2 snr: 52.68 Sep 2 9:19 [a072.0001.fits[*,1,1]]: avg: 5571. rms: 136.5 snr: 40.82 avg: 8175. rms: 97.24 snr: 84.07 avg: 5583. rms: 142.6 snr: 39.16 avg: 5726. rms: 95.43 snr: 60.00 Sep 2 9:42 [a074.0001.fits[*,1,1]]: avg: 2244. rms: 176.7 snr: 12.70 avg: 1740. rms: 138.2 snr: 12.59 avg: 1756. rms: 126.1 snr: 13.92 Sep 2 9:58 [a075.0001.fits[*,1,1]]: avg: 1923. rms: 181.1 snr: 10.62 avg: 2615. rms: 190.2 snr: 13.75 Sep 2 10:13 [a076.0001.fits[*,1,1]]: avg: 1840. rms: 170.7 snr: 10.78 avg: 2575. rms: 166.4 snr: 15.47 Sep 2 10:28 [a077.0001.fits[*,1,1]]: avg: 1573. rms: 184.6 snr: 8.52 avg: 2126. rms: 193.3 snr: 11.00 avg: 2200. rms: 172.4 snr: 12.76 Sep 2 10:38 [a078.0001.fits[*,1,1]]: avg: 1928. rms: 80.57 snr: 23.94 avg: 2222. rms: 89.29 snr: 24.88 avg: 1939. rms: 73.28 snr: 26.46 Sep 2 10:46 [a079.0001.fits[*,1,1]]: avg: 2137. rms: 88.94 snr: 24.03 avg: 1945. rms: 81.12 snr: 23.97 avg: 1947. rms: 85.83 snr: 22.68 avg: 2145. rms: 110.1 snr: 19.48 avg: 1975. rms: 79.66 snr: 24.79 Sep 2 10:52 [a080.0001.fits[*,1,1]]: avg: 2202. rms: 82.44 snr: 26.71 Sep 2 11:22 [a085.0001.fits[*,1,1]]: avg: 1888. rms: 86.32 snr: 21.87 avg: 3927. rms: 94.73 snr: 41.45 Sep 2 11:25 [a086.0001.fits[*,1,1]]: avg: 4293. rms: 104.5 snr: 41.07 avg: 2439. rms: 155.3 snr: 15.71 Sep 2 11:40 [a088.0001.fits[*,1,1]]: avg: 3682. rms: 118.3 snr: 31.14 avg: 3004. rms: 100.8 snr: 29.79 Sep 2 11:43 [a089.0001.fits[*,1,1]]: avg: 2938. rms: 106. snr: 27.72 avg: 3638. rms: 139.2 snr: 26.14 Sep 2 11:47 [a090.0001.fits[*,1,1]]: avg: 3060. rms: 151.3 snr: 20.22 avg: 3839. rms: 137.4 snr: 27.94