LAST CHANGED    : 2022/05/29 16:54:09
CRUISE NAME(S)  : km2205
CRUISE DATES    : 2022/05/25 21:52:59 to 2022/05/25 21:57:59
SHIP NAME       : Kilo Moana
PORTS           : unspecified
CHIEF SCIENTIST : unspecified
DATABASE NAME   : a_km
DATA FILES      : km2022_144_78773.raw to km2022_148_57600.raw

STATUS          :  to do                           done
                  ------                       -----------
                  averaged                       [     ]
                  loaded                         [     ]

                  NOTE: heading correction instrument exists
                        NOTE: time-dependent heading corrections
                        applied IN the ensembles
                        (see   cal/rotate/ens_hcorr.ang)

                  check heading correction       [     ]
                  calibration                    [     ]
                  edited                         [     ]
                  re-check heading correction    [     ]
                  check editing                  [     ]
                  figures                        [     ]

INSTRUMENT      : os38

ACQUISITION     : 
     PROGRAM    : uhdas
     PROCESSING:    : python

LOGGING         : 

     PARAMETERS : BT : bottom track mode (on or off)
                  SI : sampling interval or averaging period for ensemble (sec)
                  NB : number of bins
                  BL : bin length (m)
                  TD : transducer depth (m)
                  BK : blanking length (m)
                  HO : heading offset applied by DAS (deg)
                  HB : heading bias (deg)
                  CRPH : compensation for roll-pitch-heading, 1:on, 0:off)
                  
                  yy/mm/dd  hh:mm:ss   BT   SI  NB  BL  TD BK     HO     HB CRPH
                  2022/05/25 21:57:53  off  300 115  12   7 16  44.55   0.00 0001
                  2022/05/26 22:57:55  off  300 115  12   7 16  44.55   0.00 0001

HEADING         : 
     PRIMARY    : heading from gyro
     CORRECTION : heading correction from posmv
                        NOTE: time-dependent heading corrections
                        applied IN the ensembles
                        (see   cal/rotate/ens_hcorr.ang)

POSITIONS       : gps positions from posmv

CALIBRATION     : (check original processing parameters)
                  additional rotation 0
                  final transducer angle is:
                       (original transducer angle) - (rotate_angle)
                  applied scale factor 1
                  additional scale factor (none)

COMMENTS        : gaps in heading correction?
                  scattering layers?
                  bubbles?
                  underway bias?
                  
PROCESSOR       : I.M. Persistent


--- processing parameters ----------


## (determined from "sonar"): model = os
## (determined from "sonar"): frequency = 38
## (determined from "sonar"): instname = os38
## (determined from "sonar"): pingtype = bb
           beamangle   30
          cruisename   km2205
            datatype   uhdas
             ens_len   300
             fixfile   a_km.gps
           frequency   38
          hcorr_inst   posmv
            instname   os38
               model   os
            pingtype   bb
         proc_engine   python
          ref_method   refsm
     refuv_smoothwin   3
        refuv_source   nav
               sonar   os38bb
            txy_file   a_km.agt
           xducer_dx   16
           xducer_dy   6
            yearbase   2022



(unless otherwise stated, comments are relative
to root processing directory)

codaspy:(os38bb)$ 

===================================


(0) remake all the plots

quick_mplplots.py --plots2run all --yearbase 2021

(1) look at heading correction: are there gaps?

    figview.py cal/rotate/*png

[X] There were no gaps!
[] There WERE some gaps!

Did not run patch_hcorr.py

(2) see what calibration looks like:

                amp  in [0.995, 1.005] : good enough to proceed 
                                         to the next step.  tweak later
                phase in (-.5, .5) : good enough to proceed 
                                         to the next step.  tweak later

    rule of thumb: errors when underway:

         scale factor of 1.02 (i.e. 2%) gives 10cm/s alongtrack error
         phase error of 1deg gives 10cm crosstrack error 

         (goal is 1cm/s)

tail -20 cal/watertrk/adcpcal.out

Number of edited points:  26 out of  27
   amp   = 0.9988  + -0.0014 (t - 146.8)
   phase =   0.12  + -0.0364 (t - 146.8)
            median     mean      std
amplitude   1.0010   0.9988   0.0084
phase       0.1310   0.1173   0.3151
nav - pc    0.0000  -0.1154   3.8712
var         0.0010   0.0008   0.0006
min var     0.0010   0.0006   0.0006
delta-u    -1.3400  -0.6508   3.6200
delta-v    -1.5200  -0.5100   3.8488


Continuing with editing, despite median/mean differences.


(3) gautoedit.py

Really good auto-editing.  Removed just a few below seafloor points. 


(4) apply editing

    quick_adcp.py --steps2rerun apply_edit:navsteps:calib --proc_engine python --datatype uhdas --auto

(5) rechecking calibration

tail -20 cal/watertrk/adcpcal.out

Number of edited points:  26 out of  27
   amp   = 0.9990  + -0.0014 (t - 146.8)
   phase =   0.11  + -0.0358 (t - 146.8)
            median     mean      std
amplitude   1.0015   0.9990   0.0084
phase       0.1250   0.1088   0.3126
nav - pc    0.0000  -0.3077   3.8238
var         0.0010   0.0008   0.0006
min var     0.0010   0.0006   0.0006
delta-u    -1.3400  -0.6512   3.6204
delta-v    -1.5200  -0.5096   3.8494

quick_adcp.py --steps2rerun rotate:apply_edit:navsteps:calib --rotate_amplitude 1.0 --rotate_angle 0.11 --auto

Number of edited points:  26 out of  27
   amp   = 0.9990  + -0.0014 (t - 146.8)
   phase =  -0.00  + -0.0365 (t - 146.8)
            median     mean      std
amplitude   1.0015   0.9990   0.0084
phase       0.0160  -0.0016   0.3130
nav - pc    0.0000  -0.0769   3.7301
var         0.0010   0.0008   0.0005
min var     0.0010   0.0007   0.0006
delta-u    -1.3400  -0.6512   3.6204
delta-v    -1.5200  -0.5096   3.8494

Takin' it. Median and mean are split.


(6) web plots (make sure to save this file now):

Making web plots.

mkdir webpy
cp ../wh300/webpy/sectinfo.txt webpy/
quick_web.py --redo
cd ../
cat os38bb/cruise_info.txt dm_notes_os38bb.txt > os38bb.txt

ALL done