Setting corr_cal_dir to directory /n/lma1/lmt/data_lmt//rsr/cal Config file validated Dreampy: $Rev: 284 $: Last Commit: 23-Jul-2020 read obsnum 1 observations 1 33551 Found ['/n/lma1/lmt/data_lmt//RedshiftChassis0/RedshiftChassis0_2015-01-22_033551_00_0001.nc'] # 0 0 40 CHAN- 0.22741687585163156 [-3.17823378 -3.51774084 -3.67122071 -3.69622472 -3.61237187 -3.35998831 -3.85079826 -3.65311926 -4.04538749 -3.6337147 ] CHAN. 21.98607880350848 [ 31.96228462 31.59343583 -7.32637728 -9.39324432 -17.17710655 6.29566614 3.13960464 6.25789924 28.10370771 -40.12256999] CHAN+ 0.31582246059724417 [-2.55278014 -2.98488586 -3.25114193 -2.9977032 -3.10168817 -3.28251281 -3.5749929 -3.37868531 -3.72863873 -3.05473736] # 0 0 93 CHAN- 0.36024528928307215 [10.45119159 9.97098878 10.04571668 9.84966297 9.86208434 9.96013774 9.74342436 9.27778939 9.26117681 9.36354385] CHAN. 17.278412421885882 [ 33.88716311 17.75486617 16.25270183 10.97240636 26.73590622 33.45925466 24.91244523 22.76733379 -26.96594572 0.325835 ] CHAN+ 0.3530670047197525 [14.01511312 13.5065852 13.37813005 13.17009961 13.28703476 13.26915459 12.7812821 13.24577105 12.66029455 13.19233133] # 0 0 109 CHAN- 0.3524318781620173 [18.58339872 18.12354049 17.78253808 17.68018592 17.71689915 17.81947928 17.46274942 17.65885895 17.21218734 17.61416809] CHAN. 4.087205137749962 [ 4.34861197 3.83613624 8.20865091 13.38252455 12.50960871 11.42597419 7.31009048 6.30953318 12.91545713 1.07381341] CHAN+ 0.31631770543354826 [-0.93228451 -1.34922128 -1.37097799 -1.67826034 -1.40388351 -1.49889154 -1.96621208 -1.77210981 -2.07390424 -1.6670983 ] # 0 0 116 CHAN- 0.4242212828128155 [28.28652543 27.64772516 27.35476358 27.38527567 26.98445901 27.25287667 26.86078943 27.07076394 26.78717409 26.98399117] CHAN. 29.305891532212147 [ 34.36073421 55.40590578 11.98810812 -9.65741407 36.23941464 31.6169068 56.93059244 -31.53881048 19.55992179 -22.38345518] CHAN+ 0.40239966669672267 [24.88230931 23.98454164 23.91602263 23.6187015 23.64855565 23.97803772 23.77395246 23.61012968 23.27099793 23.69657463] # 0 0 191 CHAN- 0.5128224591726582 [26.07651513 25.17903663 24.95428264 24.92433562 24.95454558 25.17316786 24.63830427 24.61916675 23.9448392 24.72511597] CHAN. 3.726746792260942 [23.17899802 24.04519967 25.49535239 21.78622913 15.5793079 24.55770555 23.6117012 30.44515678 23.36229538 28.21480106] CHAN+ 0.4505588906063302 [11.58682554 10.57905794 10.55180536 10.37388702 10.33726656 10.67282774 9.96635551 10.27267462 9.92857699 10.12382392] # 0 0 252 CHAN- 0.5490058344612928 [28.08011972 27.34645661 26.9662756 26.78859337 26.75055867 27.02262955 26.54868146 26.67312006 25.89903783 26.43643525] CHAN. 69.07018747994682 [ -65.19122924 -35.10721067 -106.90982603 -73.39135893 50.01687484 -21.14782692 95.97330268 112.43954618 -1.11560642 -35.19835513] CHAN+ 0.5372961200488713 [35.95207094 35.30303403 34.96700501 34.73185581 34.7483315 34.81362212 33.84290721 34.72588431 34.23265801 34.99348788] # 0 5 81 CHAN- 0.29603015778936637 [32.31607734 32.02198414 32.28618924 32.21403311 31.95051264 32.22317087 31.80392326 32.48056539 31.47194972 31.73047524] CHAN. 16.134800656149263 [38.68581827 35.27512375 -0.39204353 39.86242276 34.3288066 29.19682938 7.2152607 0.04274439 40.63296549 11.79211128] CHAN+ 0.35630731919643505 [32.22019742 31.65831325 31.55480975 31.75000136 31.34709451 31.4735786 31.30678627 31.78060459 30.83301712 31.22175849] Found ['/n/lma1/lmt/data_lmt//RedshiftChassis1/RedshiftChassis1_2015-01-22_033551_00_0001.nc'] # 1 0 105 CHAN- 0.16530552258951162 [-7.74250167 -7.79390217 -7.75756201 -7.42522907 -7.57002046 -7.35386206 -7.70181575 -7.56313243 -7.57087322 -7.29853598] CHAN. 15.681192761435717 [ -9.88969275 -16.56398829 -16.85301758 -6.26538186 -4.8196867 -7.60332661 10.13317994 -34.96370968 27.28265897 -3.83684448] CHAN+ 0.10709574844615079 [27.75633387 27.65637124 27.8153206 27.86039536 27.87558578 27.9169098 27.76988605 27.78184555 27.9289417 28.06275475] # 1 0 117 CHAN- 0.30830668683280016 [-10.60882521 -10.85570196 -10.46163141 -10.23292574 -10.08107536 -10.26427682 -11.00654491 -10.63868331 -10.27360893 -10.04193234] CHAN. 30.02853373641552 [-47.30846296 52.44707546 -44.52897704 -21.46847954 -26.05115085 -34.24771615 -62.40761458 -43.23636791 -43.29374631 -15.0910748 ] CHAN+ 0.1714202160119106 [24.74972749 24.54037182 24.7605311 24.8390177 24.81210562 24.86593562 24.94812497 24.856359 24.87319423 25.25976238] # 1 0 213 CHAN- 0.34331688772595537 [6.18403392 6.5383611 6.95188635 6.85015626 6.91622461 6.28965942 6.65765555 6.48560571 6.62382119 7.42949559] CHAN. 77.11955968873359 [ 153.57625229 49.68709813 -7.68365361 11.83839961 -80.63615298 54.48705839 69.59463035 -112.76572062 103.80412746 -19.26914913] CHAN+ 0.1711221934123195 [2.87459158 3.0364614 2.8734 3.08302941 3.2638823 3.39097058 3.13318472 3.09951222 3.14334049 3.38235832] # 1 2 62 CHAN- 0.19389133167031777 [16.65014766 16.15233209 16.38916634 16.55543057 16.38587984 16.59847547 16.7391114 16.67472777 16.84693947 16.67621596] CHAN. 16.407114087816925 [ 8.22133299 -20.17458696 3.12809033 -25.41461024 16.92336772 -3.74788074 8.13643976 28.81034933 22.30752866 -1.47065685] CHAN+ 0.2679044175558928 [-14.11837997 -14.48603868 -14.48834707 -14.15542429 -14.34650248 -14.00498159 -13.99667667 -13.72977656 -13.94534187 -13.68379488] # 1 2 92 CHAN- 0.12709354062885023 [-4.68393284 -4.85902115 -4.82276954 -4.62038244 -4.61799448 -4.61693617 -4.58951012 -4.50316557 -4.47351645 -4.46691213] CHAN. 8.178404047636045 [ 1.57955514 10.77433167 3.89842916 11.31558566 13.93414947 -15.37757207 -4.62230295 -0.25326733 1.1032788 5.69424433] CHAN+ 0.1400177529124104 [-11.6251284 -11.90188798 -11.77135441 -11.61839636 -11.73768772 -11.55379622 -11.6144966 -11.40839043 -11.5016562 -11.490924 ] # 1 2 213 CHAN- 0.10888883709977208 [-2.04642629 -2.14154284 -2.04605048 -1.88819772 -2.06751046 -1.91423324 -2.02623153 -1.83622298 -1.84965155 -1.81801704] CHAN. 4.816790007037394 [ -4.5574426 0.70268737 -4.75763149 -6.4810264 0.0528864 -5.82748437 -0.6016506 4.38890118 -12.43031856 2.93739482] CHAN+ 0.13976939975089536 [-4.65073092 -4.88784561 -4.82105375 -4.72372407 -4.75656482 -4.64121167 -4.4708276 -4.47178922 -4.54127123 -4.51963267] # 1 5 93 CHAN- 0.23682471058833468 [-12.17851006 -12.71538517 -11.99534441 -12.23644713 -12.18682295 -12.41670355 -12.16402016 -11.95650024 -11.9359599 -11.91137911] CHAN. 12.410545505531923 [-27.96017326 -9.05813662 -1.15914484 -42.69400598 -1.13567959 -12.03057659 -2.39301881 -16.95691207 -10.41520033 -10.86425687] CHAN+ 0.2443302554789164 [-1.82013015 -2.26087644 -1.63577495 -1.97297349 -1.87865363 -2.1721796 -1.90376194 -1.57134174 -1.54992037 -1.54221782] # 1 5 230 CHAN- 0.25419205178756676 [-8.77062571 -9.02475329 -8.76775118 -8.7010597 -8.97673364 -9.46380529 -8.86218884 -8.60225503 -8.52584019 -8.70170442] CHAN. 31.30996237524335 [ 35.23573684 40.79036978 -9.49707655 -56.21222831 -3.97388102 -38.54957478 2.87006827 34.4952875 -31.85652087 -6.62588513] CHAN+ 0.32500788172777767 [-11.94615324 -11.92175887 -11.11773973 -11.78061006 -11.77294623 -11.87856716 -11.68929348 -11.13037225 -11.29481994 -11.21954361] Found ['/n/lma1/lmt/data_lmt//RedshiftChassis2/RedshiftChassis2_2015-01-22_033551_00_0001.nc'] # 2 0 234 CHAN- 0.45360821509634097 [29.003505 28.88137553 28.39955142 28.43960013 28.0630252 28.52161738 27.87504576 28.13014004 27.39293207 28.047308 ] CHAN. 14.714851744518445 [22.58280949 46.31762911 41.96204596 41.0879468 13.0832063 46.03751216 51.4852212 30.44033228 4.41371897 34.37514752] CHAN+ 0.5068800939927396 [30.28566472 30.06031791 29.65198075 29.50479787 29.68986649 29.94373416 29.46006535 29.21236218 28.36034755 29.80670363] Found ['/n/lma1/lmt/data_lmt//RedshiftChassis3/RedshiftChassis3_2015-01-22_033551_00_0001.nc'] Bad Channel Threshold = 3.0 ----------------------- c b ch scan metric ----------------------- 0 0 40 33551 22.0 0 0 93 33551 17.3 0 0 109 33551 4.1 0 0 116 33551 29.3 0 0 191 33551 3.7 0 0 252 33551 69.1 0 5 81 33551 16.1 1 0 105 33551 15.7 1 0 117 33551 30.0 1 0 213 33551 77.1 1 2 62 33551 16.4 1 2 92 33551 8.2 1 2 213 33551 4.8 1 5 93 33551 12.4 1 5 230 33551 31.3 2 0 234 33551 14.7 RMS_diff 0 0 0.049 RMS_diff 0 1 0.040 RMS_diff 0 2 0.052 RMS_diff 0 3 0.071 RMS_diff 0 4 0.046 RMS_diff 0 5 0.052 RMS_diff 1 0 0.037 RMS_diff 1 1 0.030 RMS_diff 1 2 0.029 RMS_diff 1 3 0.042 RMS_diff 1 4 0.044 RMS_diff 1 5 0.049 RMS_diff 2 0 0.090 RMS_diff 2 1 0.086 RMS_diff 2 2 0.054 RMS_diff 2 3 0.078 RMS_diff 2 4 0.055 RMS_diff 2 5 0.057 RMS_diff 3 0 0.056 RMS_diff 3 1 0.064 RMS_diff 3 2 0.050 RMS_diff 3 3 0.048 RMS_diff 3 4 0.055 RMS_diff 3 5 0.031 ----------------------- Wrote badlags.png There were no bad Chassis/Board's Saving dreampy defaults in ~/.dreamy/