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 71610 Found ['/n/lma1/lmt/data_lmt//RedshiftChassis0/RedshiftChassis0_2018-02-10_071610_00_0001.nc'] Found ['/n/lma1/lmt/data_lmt//RedshiftChassis1/RedshiftChassis1_2018-02-10_071610_00_0001.nc'] # 1 0 69 CHAN- 0.2808556958111308 [20.60914074 20.98129727 21.10751978 21.24311634 21.21876366 21.60119009 21.08371443 21.14479795 20.59340398 21.0502919 ] CHAN. 10.962573465335536 [29.15821969 51.26530929 17.51109055 41.91081634 36.33444043 43.79243022 28.55261195 43.24186172 22.40647818 19.91307971] CHAN+ 0.1703822647292373 [12.90048231 13.18640881 12.7454608 13.1557849 12.94432902 13.27605835 12.90400986 12.96721605 12.83060741 13.19871984] # 1 0 105 CHAN- 0.1356945707314017 [-4.25454517 -4.41725108 -4.56250747 -4.23667046 -4.28611207 -4.17642399 -4.44528518 -4.38643771 -4.15148679 -4.51991064] CHAN. 45.44355403998172 [-22.64838423 -25.89744423 -73.74115731 -7.30709839 -39.8702636 -33.98519748 68.0796248 83.01850509 -2.91493249 0.15970037] CHAN+ 0.10657839135702313 [60.64873459 60.82737609 60.88281148 60.77625066 60.71657406 60.82045503 60.57544502 60.56184093 60.68582712 60.61548212] Found ['/n/lma1/lmt/data_lmt//RedshiftChassis2/RedshiftChassis2_2018-02-10_071610_00_0001.nc'] # 2 0 232 CHAN- 0.36082768640851953 [10.22876576 9.68742984 9.11300241 9.44737302 10.21635414 9.63416478 9.81157389 9.95420683 10.25316866 9.51551504] CHAN. 43.907409060735944 [ 24.44063825 -63.89569574 -27.99549767 39.87975416 27.30169677 10.20656376 42.67841103 -23.27646647 -61.56348561 73.42586013] CHAN+ 0.44220630033099356 [13.3096042 12.45290397 12.58017557 12.82660402 12.82910575 11.94324037 13.4021672 13.04381871 13.44281425 12.88752773] # 2 0 234 CHAN- 0.44220630033099356 [13.3096042 12.45290397 12.58017557 12.82660402 12.82910575 11.94324037 13.4021672 13.04381871 13.44281425 12.88752773] CHAN. 35.031814515216055 [ 30.4769955 35.3114238 -24.59898796 55.56553034 -49.38481907 -0.58570734 -2.10715876 67.19512468 18.11792364 -18.79497566] CHAN+ 0.43473393399197013 [20.59379234 19.59203898 19.44585826 19.97846252 20.39068237 19.99920502 20.38663714 20.07606379 20.99287664 20.23694365] # 2 1 77 CHAN- 0.21789147558764593 [4.66933435 4.10919552 4.25608053 3.93910703 4.29691325 4.1758977 4.01340125 4.45801234 4.22071781 3.94705817] CHAN. 25.13325729236827 [ 34.57664637 -7.5639917 4.79054619 3.63361909 35.75659818 -0.39316633 6.34321387 -51.11824064 -32.58897726 5.82313385] CHAN+ 0.19987356815474852 [11.49522126 11.04620578 10.84701811 10.93209224 11.31865698 11.02842045 11.15861786 10.85618416 11.27366619 11.15978027] # 2 1 188 CHAN- 0.24669314535909187 [24.6574049 23.8820532 23.97355271 23.8808715 24.33618542 24.02530611 24.28224372 23.88973646 24.34436643 24.20111229] CHAN. 38.18071981867788 [-27.56424294 11.03942231 80.24948438 -19.76121506 62.90905974 49.49791489 82.64649581 25.74619176 40.9684251 77.0717242 ] CHAN+ 0.3068266280059201 [28.67750678 28.04255351 27.6364915 28.03827162 28.39568171 28.12675045 28.06398751 27.90907135 28.57603084 28.44001606] # 2 3 30 CHAN- 0.35529543336000996 [8.01116589 7.53596962 7.75303039 7.53737078 8.28668986 8.19505502 8.16546532 8.62648956 8.44309488 8.33964876] CHAN. 11.661628223785092 [ 4.42396011 -17.70928829 -9.16446046 -3.23435246 15.64682706 2.47197977 22.63001778 -10.11300977 2.28206873 9.4690546 ] CHAN+ 0.19674982352773757 [10.91756819 10.31675235 10.53715207 10.6963875 10.52236182 10.51140424 10.34594575 10.84875344 10.83257591 10.59793729] Found ['/n/lma1/lmt/data_lmt//RedshiftChassis3/RedshiftChassis3_2018-02-10_071610_00_0001.nc'] # 3 0 200 CHAN- 0.36782667149373904 [12.1497249 12.21534676 11.99073923 12.51178644 12.09429082 12.38949059 12.60419596 13.21897682 12.17607185 12.87452875] CHAN. 38.56813730250561 [ 69.57230473 -40.52707705 -45.2637815 2.66908471 51.23332911 -55.43941983 6.32903466 17.26614028 -17.52421199 -4.24994946] CHAN+ 0.3756750293760836 [7.96654332 8.09766547 8.09415936 8.38653714 7.88934752 8.38339917 8.50413588 8.91648276 8.49227151 9.10280141] # 3 5 3 CHAN- 1.5837351648151554 [12.3684148 15.06457077 14.10314564 12.94395448 16.77685324 12.86168139 13.77746831 11.760809 12.18433716 15.82697351] CHAN. 4.2149916581869835 [-14.08762649 -7.79910012 -9.66213505 -15.35482601 -4.24753836 -15.15761184 -12.33385917 -17.59453263 -15.81559795 -7.20943223] CHAN+ 3.9104607025575233 [-14.15000287 -8.05450446 -10.04581753 -14.65259909 -4.65591215 -14.54744391 -11.78115805 -17.07295958 -15.57162722 -7.15836038] # 3 5 4 CHAN- 4.2149916581869835 [-14.08762649 -7.79910012 -9.66213505 -15.35482601 -4.24753836 -15.15761184 -12.33385917 -17.59453263 -15.81559795 -7.20943223] CHAN. 3.9104607025575233 [-14.15000287 -8.05450446 -10.04581753 -14.65259909 -4.65591215 -14.54744391 -11.78115805 -17.07295958 -15.57162722 -7.15836038] CHAN+ 4.072437278016655 [-27.27192062 -21.57645309 -23.34874139 -28.76675603 -18.04629433 -28.24608453 -25.6752102 -31.03926361 -29.68097353 -20.94624339] # 3 5 5 CHAN- 3.9104607025575233 [-14.15000287 -8.05450446 -10.04581753 -14.65259909 -4.65591215 -14.54744391 -11.78115805 -17.07295958 -15.57162722 -7.15836038] CHAN. 4.072437278016655 [-27.27192062 -21.57645309 -23.34874139 -28.76675603 -18.04629433 -28.24608453 -25.6752102 -31.03926361 -29.68097353 -20.94624339] CHAN+ 3.8343186516988363 [-4.70423824 0.80898817 -0.9177272 -5.42862611 4.45586148 -5.45509264 -2.7217368 -8.00482111 -6.2847673 1.80664284] # 3 5 6 CHAN- 4.072437278016655 [-27.27192062 -21.57645309 -23.34874139 -28.76675603 -18.04629433 -28.24608453 -25.6752102 -31.03926361 -29.68097353 -20.94624339] CHAN. 3.8343186516988363 [-4.70423824 0.80898817 -0.9177272 -5.42862611 4.45586148 -5.45509264 -2.7217368 -8.00482111 -6.2847673 1.80664284] CHAN+ 3.5603788191898724 [ -8.02464977 -2.83102762 -4.5051753 -8.56430298 0.38880465 -8.55848277 -6.26643181 -11.10800489 -9.77933017 -1.98083516] # 3 5 7 CHAN- 3.8343186516988363 [-4.70423824 0.80898817 -0.9177272 -5.42862611 4.45586148 -5.45509264 -2.7217368 -8.00482111 -6.2847673 1.80664284] CHAN. 3.5603788191898724 [ -8.02464977 -2.83102762 -4.5051753 -8.56430298 0.38880465 -8.55848277 -6.26643181 -11.10800489 -9.77933017 -1.98083516] CHAN+ 3.610575521380697 [-29.28357347 -23.86613368 -25.36751836 -29.93306101 -20.56936044 -29.68762976 -27.45311717 -31.9804874 -30.74328913 -22.90374691] # 3 5 8 CHAN- 3.5603788191898724 [ -8.02464977 -2.83102762 -4.5051753 -8.56430298 0.38880465 -8.55848277 -6.26643181 -11.10800489 -9.77933017 -1.98083516] CHAN. 3.610575521380697 [-29.28357347 -23.86613368 -25.36751836 -29.93306101 -20.56936044 -29.68762976 -27.45311717 -31.9804874 -30.74328913 -22.90374691] CHAN+ 3.272727542385842 [-11.54018394 -6.88686935 -8.2949954 -12.50182341 -4.03072757 -12.25853918 -10.22761367 -14.55370376 -13.34948012 -6.37545486] # 3 5 9 CHAN- 3.610575521380697 [-29.28357347 -23.86613368 -25.36751836 -29.93306101 -20.56936044 -29.68762976 -27.45311717 -31.9804874 -30.74328913 -22.90374691] CHAN. 3.272727542385842 [-11.54018394 -6.88686935 -8.2949954 -12.50182341 -4.03072757 -12.25853918 -10.22761367 -14.55370376 -13.34948012 -6.37545486] CHAN+ 3.117604969616364 [ 6.06535208 10.67476533 9.04983898 5.47499537 13.46094687 5.71779589 7.71360944 3.47178584 4.69688948 11.56863444] # 3 5 10 CHAN- 3.272727542385842 [-11.54018394 -6.88686935 -8.2949954 -12.50182341 -4.03072757 -12.25853918 -10.22761367 -14.55370376 -13.34948012 -6.37545486] CHAN. 3.117604969616364 [ 6.06535208 10.67476533 9.04983898 5.47499537 13.46094687 5.71779589 7.71360944 3.47178584 4.69688948 11.56863444] CHAN+ 3.0489750519882755 [ 1.33768659 5.85080235 4.50868998 0.94004406 8.9641564 1.25998093 3.20715156 -0.7982853 0.39761998 7.05629999] # 3 5 11 CHAN- 3.117604969616364 [ 6.06535208 10.67476533 9.04983898 5.47499537 13.46094687 5.71779589 7.71360944 3.47178584 4.69688948 11.56863444] CHAN. 3.0489750519882755 [ 1.33768659 5.85080235 4.50868998 0.94004406 8.9641564 1.25998093 3.20715156 -0.7982853 0.39761998 7.05629999] CHAN+ 3.040373201820452 [20.11081538 24.66542912 23.06271524 20.03770175 27.93910136 20.10724823 22.05464033 17.96584153 19.20665801 25.73194021] # 3 5 12 CHAN- 3.0489750519882755 [ 1.33768659 5.85080235 4.50868998 0.94004406 8.9641564 1.25998093 3.20715156 -0.7982853 0.39761998 7.05629999] CHAN. 3.040373201820452 [20.11081538 24.66542912 23.06271524 20.03770175 27.93910136 20.10724823 22.05464033 17.96584153 19.20665801 25.73194021] CHAN+ 2.815400725838968 [ 5.52068718 9.81434402 8.61294792 5.44677235 12.69808763 5.48887646 7.2899284 3.68490963 4.72809509 10.85606191] # 3 5 64 CHAN- 0.37604678124967217 [14.65582929 15.05519153 15.03482394 14.6453327 15.45526752 14.40257357 14.70814261 14.17715009 14.74010376 15.31521344] CHAN. 4.478225070519736 [-6.2503087 0.60176398 -1.52667751 -6.73678249 4.57645178 -6.49615556 -3.84539087 -9.75397581 -7.94762094 1.84742302] CHAN+ 4.4873080779613455 [ 1.25350159 7.94201785 5.93370673 0.53815335 12.13865957 0.96025931 3.55142944 -2.17006351 -0.40345597 9.42974077] # 3 5 65 CHAN- 4.478225070519736 [-6.2503087 0.60176398 -1.52667751 -6.73678249 4.57645178 -6.49615556 -3.84539087 -9.75397581 -7.94762094 1.84742302] CHAN. 4.4873080779613455 [ 1.25350159 7.94201785 5.93370673 0.53815335 12.13865957 0.96025931 3.55142944 -2.17006351 -0.40345597 9.42974077] CHAN+ 4.032405104293757 [-2.93023524 3.09329446 1.17878141 -3.54457513 6.83019669 -3.40241512 -0.82727255 -6.14615074 -4.41638255 4.22293183] # 3 5 66 CHAN- 4.4873080779613455 [ 1.25350159 7.94201785 5.93370673 0.53815335 12.13865957 0.96025931 3.55142944 -2.17006351 -0.40345597 9.42974077] CHAN. 4.032405104293757 [-2.93023524 3.09329446 1.17878141 -3.54457513 6.83019669 -3.40241512 -0.82727255 -6.14615074 -4.41638255 4.22293183] CHAN+ 3.9064095772982537 [-2.84516307 3.16023923 1.12031104 -3.5226404 6.51933074 -3.16959593 -0.69060395 -6.01469627 -4.24350973 4.09527712] # 3 5 67 CHAN- 4.032405104293757 [-2.93023524 3.09329446 1.17878141 -3.54457513 6.83019669 -3.40241512 -0.82727255 -6.14615074 -4.41638255 4.22293183] CHAN. 3.9064095772982537 [-2.84516307 3.16023923 1.12031104 -3.5226404 6.51933074 -3.16959593 -0.69060395 -6.01469627 -4.24350973 4.09527712] CHAN+ 3.8346196698000825 [ 3.28094266 9.10214507 7.20636893 2.85541315 12.66096417 2.90161126 5.11587886 0.29529986 1.8837188 10.07241195] # 3 5 68 CHAN- 3.9064095772982537 [-2.84516307 3.16023923 1.12031104 -3.5226404 6.51933074 -3.16959593 -0.69060395 -6.01469627 -4.24350973 4.09527712] CHAN. 3.8346196698000825 [ 3.28094266 9.10214507 7.20636893 2.85541315 12.66096417 2.90161126 5.11587886 0.29529986 1.8837188 10.07241195] CHAN+ 3.7772827612752486 [-6.99738081 -1.31425319 -3.0759021 -7.53955309 2.22780575 -7.32950938 -4.92452634 -9.97634198 -8.3749399 -0.34402319] # 3 5 69 CHAN- 3.8346196698000825 [ 3.28094266 9.10214507 7.20636893 2.85541315 12.66096417 2.90161126 5.11587886 0.29529986 1.8837188 10.07241195] CHAN. 3.7772827612752486 [-6.99738081 -1.31425319 -3.0759021 -7.53955309 2.22780575 -7.32950938 -4.92452634 -9.97634198 -8.3749399 -0.34402319] CHAN+ 3.86469028510061 [-0.71061514 5.09223859 3.04714167 -1.42674957 8.62100988 -1.09369468 1.34258116 -3.74098376 -2.26598834 6.136422 ] # 3 5 70 CHAN- 3.7772827612752486 [-6.99738081 -1.31425319 -3.0759021 -7.53955309 2.22780575 -7.32950938 -4.92452634 -9.97634198 -8.3749399 -0.34402319] CHAN. 3.86469028510061 [-0.71061514 5.09223859 3.04714167 -1.42674957 8.62100988 -1.09369468 1.34258116 -3.74098376 -2.26598834 6.136422 ] CHAN+ 3.2605553268185177 [-0.28031228 4.56272811 2.91314177 -0.77753438 7.6683123 -0.69408247 1.40223741 -2.80812232 -1.57248708 5.47305954] # 3 5 71 CHAN- 3.86469028510061 [-0.71061514 5.09223859 3.04714167 -1.42674957 8.62100988 -1.09369468 1.34258116 -3.74098376 -2.26598834 6.136422 ] CHAN. 3.2605553268185177 [-0.28031228 4.56272811 2.91314177 -0.77753438 7.6683123 -0.69408247 1.40223741 -2.80812232 -1.57248708 5.47305954] CHAN+ 3.388779554155567 [-4.07151111 1.00023631 -0.61736511 -4.64552478 4.15921432 -4.28650682 -2.1180299 -6.7913152 -5.30610671 1.95255267] # 3 5 72 CHAN- 3.2605553268185177 [-0.28031228 4.56272811 2.91314177 -0.77753438 7.6683123 -0.69408247 1.40223741 -2.80812232 -1.57248708 5.47305954] CHAN. 3.388779554155567 [-4.07151111 1.00023631 -0.61736511 -4.64552478 4.15921432 -4.28650682 -2.1180299 -6.7913152 -5.30610671 1.95255267] CHAN+ 3.198680486786776 [-4.46333541 0.22684183 -1.23529692 -5.02036198 3.27636759 -4.7871577 -2.83949288 -7.02196266 -5.78363425 1.15424275] # 3 5 73 CHAN- 3.388779554155567 [-4.07151111 1.00023631 -0.61736511 -4.64552478 4.15921432 -4.28650682 -2.1180299 -6.7913152 -5.30610671 1.95255267] CHAN. 3.198680486786776 [-4.46333541 0.22684183 -1.23529692 -5.02036198 3.27636759 -4.7871577 -2.83949288 -7.02196266 -5.78363425 1.15424275] CHAN+ 3.0615555927612546 [-0.94478251 3.60447127 2.2030906 -1.25883302 6.67043541 -1.19092168 0.75178799 -3.26285991 -1.99542615 4.54031165] # 3 5 74 CHAN- 3.198680486786776 [-4.46333541 0.22684183 -1.23529692 -5.02036198 3.27636759 -4.7871577 -2.83949288 -7.02196266 -5.78363425 1.15424275] CHAN. 3.0615555927612546 [-0.94478251 3.60447127 2.2030906 -1.25883302 6.67043541 -1.19092168 0.75178799 -3.26285991 -1.99542615 4.54031165] CHAN+ 3.2555080545250816 [ 0.5495379 5.45356278 3.78012953 -0.01946561 8.48026126 0.25431569 2.27374316 -1.92692803 -0.79608344 6.26776475] # 3 5 75 CHAN- 3.0615555927612546 [-0.94478251 3.60447127 2.2030906 -1.25883302 6.67043541 -1.19092168 0.75178799 -3.26285991 -1.99542615 4.54031165] CHAN. 3.2555080545250816 [ 0.5495379 5.45356278 3.78012953 -0.01946561 8.48026126 0.25431569 2.27374316 -1.92692803 -0.79608344 6.26776475] CHAN+ 2.685721197623205 [ 0.41757365 4.35044379 3.08824571 0.01732274 6.83401311 0.14748134 1.8268482 -1.83137846 -0.76674575 5.14370451] # 3 5 128 CHAN- 0.42696007001816416 [17.98986062 18.41878934 18.42833527 18.11903867 18.87761558 17.733942 18.15074162 17.5146302 18.08785528 18.91893686] CHAN. 4.102307383542643 [-2.15542087 3.96699545 1.86745842 -2.81162337 7.76978234 -2.56557678 -0.02253618 -5.41569127 -3.84147571 5.08192983] CHAN+ 3.7943792649005577 [-3.38200455 2.4596542 0.55163378 -4.12214058 5.67459445 -3.78072753 -1.54649799 -6.32968106 -4.74845444 3.411933 ] # 3 5 129 CHAN- 4.102307383542643 [-2.15542087 3.96699545 1.86745842 -2.81162337 7.76978234 -2.56557678 -0.02253618 -5.41569127 -3.84147571 5.08192983] CHAN. 3.7943792649005577 [-3.38200455 2.4596542 0.55163378 -4.12214058 5.67459445 -3.78072753 -1.54649799 -6.32968106 -4.74845444 3.411933 ] CHAN+ 3.8692378153104627 [-3.97127153 1.96373631 0.02438343 -4.6452421 5.36858162 -4.16158263 -2.03786182 -7.02805546 -5.41227858 2.90139681] # 3 5 130 CHAN- 3.7943792649005577 [-3.38200455 2.4596542 0.55163378 -4.12214058 5.67459445 -3.78072753 -1.54649799 -6.32968106 -4.74845444 3.411933 ] CHAN. 3.8692378153104627 [-3.97127153 1.96373631 0.02438343 -4.6452421 5.36858162 -4.16158263 -2.03786182 -7.02805546 -5.41227858 2.90139681] CHAN+ 3.552217341151613 [-1.90631488 3.55251702 1.68100874 -2.48924413 6.6283478 -2.21931755 -0.00987789 -4.55971755 -3.21107546 4.62388881] # 3 5 131 CHAN- 3.8692378153104627 [-3.97127153 1.96373631 0.02438343 -4.6452421 5.36858162 -4.16158263 -2.03786182 -7.02805546 -5.41227858 2.90139681] CHAN. 3.552217341151613 [-1.90631488 3.55251702 1.68100874 -2.48924413 6.6283478 -2.21931755 -0.00987789 -4.55971755 -3.21107546 4.62388881] CHAN+ 3.396070508223865 [-1.73763892 3.42960281 1.85659629 -2.11578759 6.50658526 -2.17991083 -0.01362756 -4.35879978 -2.98373301 4.28496194] # 3 5 132 CHAN- 3.552217341151613 [-1.90631488 3.55251702 1.68100874 -2.48924413 6.6283478 -2.21931755 -0.00987789 -4.55971755 -3.21107546 4.62388881] CHAN. 3.396070508223865 [-1.73763892 3.42960281 1.85659629 -2.11578759 6.50658526 -2.17991083 -0.01362756 -4.35879978 -2.98373301 4.28496194] CHAN+ 3.2460382818950606 [-1.07822266 3.78694871 2.31747096 -1.57801023 6.85063155 -1.41162361 0.58134441 -3.67572855 -2.21160954 4.58311273] # 3 5 133 CHAN- 3.396070508223865 [-1.73763892 3.42960281 1.85659629 -2.11578759 6.50658526 -2.17991083 -0.01362756 -4.35879978 -2.98373301 4.28496194] CHAN. 3.2460382818950606 [-1.07822266 3.78694871 2.31747096 -1.57801023 6.85063155 -1.41162361 0.58134441 -3.67572855 -2.21160954 4.58311273] CHAN+ 3.1475152076533015 [-1.73281578 3.04778813 1.56788577 -2.14707164 5.99661133 -1.9752669 -0.08512745 -4.16473223 -2.72966114 3.91548376] # 3 5 134 CHAN- 3.2460382818950606 [-1.07822266 3.78694871 2.31747096 -1.57801023 6.85063155 -1.41162361 0.58134441 -3.67572855 -2.21160954 4.58311273] CHAN. 3.1475152076533015 [-1.73281578 3.04778813 1.56788577 -2.14707164 5.99661133 -1.9752669 -0.08512745 -4.16473223 -2.72966114 3.91548376] CHAN+ 3.00046692358019 [-2.11872009 2.37237534 1.04328982 -2.50841752 5.17477699 -2.30179922 -0.5688959 -4.53512568 -3.22889963 3.21434347] # 3 5 135 CHAN- 3.1475152076533015 [-1.73281578 3.04778813 1.56788577 -2.14707164 5.99661133 -1.9752669 -0.08512745 -4.16473223 -2.72966114 3.91548376] CHAN. 3.00046692358019 [-2.11872009 2.37237534 1.04328982 -2.50841752 5.17477699 -2.30179922 -0.5688959 -4.53512568 -3.22889963 3.21434347] CHAN+ 3.051703288964643 [-0.46198381 4.05512392 2.52969836 -0.99512985 6.84848937 -0.74246888 1.08542852 -2.960671 -1.68485486 4.98770858] # 3 5 136 CHAN- 3.00046692358019 [-2.11872009 2.37237534 1.04328982 -2.50841752 5.17477699 -2.30179922 -0.5688959 -4.53512568 -3.22889963 3.21434347] CHAN. 3.051703288964643 [-0.46198381 4.05512392 2.52969836 -0.99512985 6.84848937 -0.74246888 1.08542852 -2.960671 -1.68485486 4.98770858] CHAN+ 2.87410782908958 [-0.88099375 3.32774595 1.86024039 -1.40408057 5.95081764 -1.32070521 0.53284591 -3.22903384 -2.10742444 4.22505996] # 3 5 192 CHAN- 0.40295630619774087 [22.38688164 22.75154351 22.73695141 22.43559622 23.16543857 22.01028963 22.3689869 21.78424293 22.43936178 23.02213849] CHAN. 3.7040436568471824 [-4.14264728 1.35669571 -0.43736445 -4.90959099 4.72731329 -4.59049496 -2.28772083 -7.12070882 -5.49178523 2.47070466] CHAN+ 3.734456111996891 [-1.51365941 4.10544246 2.35802532 -2.26341913 7.35000014 -1.8304109 0.25387637 -4.44270936 -2.95260253 5.26776816] # 3 5 193 CHAN- 3.7040436568471824 [-4.14264728 1.35669571 -0.43736445 -4.90959099 4.72731329 -4.59049496 -2.28772083 -7.12070882 -5.49178523 2.47070466] CHAN. 3.734456111996891 [-1.51365941 4.10544246 2.35802532 -2.26341913 7.35000014 -1.8304109 0.25387637 -4.44270936 -2.95260253 5.26776816] CHAN+ 3.4718231085592928 [-1.58385171 3.73496031 1.94094725 -2.09531866 6.90015312 -1.78267331 0.12515053 -4.21257411 -2.7136687 4.75058326] # 3 5 194 CHAN- 3.734456111996891 [-1.51365941 4.10544246 2.35802532 -2.26341913 7.35000014 -1.8304109 0.25387637 -4.44270936 -2.95260253 5.26776816] CHAN. 3.4718231085592928 [-1.58385171 3.73496031 1.94094725 -2.09531866 6.90015312 -1.78267331 0.12515053 -4.21257411 -2.7136687 4.75058326] CHAN+ 3.489903230353197 [-3.13080866 2.25105382 0.61507988 -3.47405812 5.44320454 -3.43902234 -1.23143214 -5.76665046 -4.30896494 3.09486324] # 3 5 195 CHAN- 3.4718231085592928 [-1.58385171 3.73496031 1.94094725 -2.09531866 6.90015312 -1.78267331 0.12515053 -4.21257411 -2.7136687 4.75058326] CHAN. 3.489903230353197 [-3.13080866 2.25105382 0.61507988 -3.47405812 5.44320454 -3.43902234 -1.23143214 -5.76665046 -4.30896494 3.09486324] CHAN+ 3.1305139494939604 [-1.90793762 2.89949064 1.35432673 -2.24145715 5.61235464 -2.14679154 -0.31564073 -4.42833254 -3.11078055 3.69278551] # 3 5 196 CHAN- 3.489903230353197 [-3.13080866 2.25105382 0.61507988 -3.47405812 5.44320454 -3.43902234 -1.23143214 -5.76665046 -4.30896494 3.09486324] CHAN. 3.1305139494939604 [-1.90793762 2.89949064 1.35432673 -2.24145715 5.61235464 -2.14679154 -0.31564073 -4.42833254 -3.11078055 3.69278551] CHAN+ 3.0980753372460126 [-1.03641804 3.56829569 2.07938409 -1.51244646 6.46300595 -1.24271202 0.51930758 -3.50263397 -2.23949113 4.5285912 ] # 3 5 197 CHAN- 3.1305139494939604 [-1.90793762 2.89949064 1.35432673 -2.24145715 5.61235464 -2.14679154 -0.31564073 -4.42833254 -3.11078055 3.69278551] CHAN. 3.0980753372460126 [-1.03641804 3.56829569 2.07938409 -1.51244646 6.46300595 -1.24271202 0.51930758 -3.50263397 -2.23949113 4.5285912 ] CHAN+ 2.9785884314164743 [-1.38706741 3.1388322 1.65554775 -1.92446435 5.77832519 -1.65512651 0.20063509 -3.7002448 -2.48236775 3.97102429] Bad Channel Threshold = 3.0 ----------------------- c b ch scan metric ----------------------- 1 0 69 71610 11.0 1 0 105 71610 45.4 2 0 232 71610 43.9 2 0 234 71610 35.0 2 1 77 71610 25.1 2 1 188 71610 38.2 2 3 30 71610 11.7 3 0 200 71610 38.6 3 5 3 71610 4.2 3 5 4 71610 3.9 3 5 5 71610 4.1 3 5 6 71610 3.8 3 5 7 71610 3.6 3 5 8 71610 3.6 3 5 9 71610 3.3 3 5 10 71610 3.1 3 5 11 71610 3.0 3 5 12 71610 3.0 3 5 64 71610 4.5 3 5 65 71610 4.5 3 5 66 71610 4.0 3 5 67 71610 3.9 3 5 68 71610 3.8 3 5 69 71610 3.8 3 5 70 71610 3.9 3 5 71 71610 3.3 3 5 72 71610 3.4 3 5 73 71610 3.2 3 5 74 71610 3.1 3 5 75 71610 3.3 3 5 128 71610 4.1 3 5 129 71610 3.8 3 5 130 71610 3.9 3 5 131 71610 3.6 3 5 132 71610 3.4 3 5 133 71610 3.2 3 5 134 71610 3.1 3 5 135 71610 3.0 3 5 136 71610 3.1 3 5 192 71610 3.7 3 5 193 71610 3.7 3 5 194 71610 3.5 3 5 195 71610 3.5 3 5 196 71610 3.1 3 5 197 71610 3.1 RMS_diff 0 0 0.053 RMS_diff 0 1 0.004 *** bad c/b RMS_diff 0 2 0.051 RMS_diff 0 3 0.057 RMS_diff 0 4 0.042 RMS_diff 0 5 0.000 *** bad c/b RMS_diff 1 0 0.043 RMS_diff 1 1 0.051 RMS_diff 1 2 0.037 RMS_diff 1 3 0.048 RMS_diff 1 4 0.038 RMS_diff 1 5 0.036 RMS_diff 2 0 0.059 RMS_diff 2 1 0.030 RMS_diff 2 2 0.035 RMS_diff 2 3 0.050 RMS_diff 2 4 0.046 RMS_diff 2 5 0.040 RMS_diff 3 0 0.041 RMS_diff 3 1 0.049 RMS_diff 3 2 0.102 *** bad c/b RMS_diff 3 3 0.020 RMS_diff 3 4 0.038 RMS_diff 3 5 0.319 *** bad c/b ----------------------- Wrote badlags.png There were 4 bad Chassis/Board's Saving dreampy defaults in ~/.dreamy/