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  • Geomagnetic Adjusted Data
    ===========================================================
    
    Abram Claycomb
    <[aclaycomb@usgs.gov](mailto:aclaycomb@usgs.gov)>
    
    ## Background and Motivation
    
    
    The magnetic field measured at an observatory of the USGS is
    measured by a three-axis fluxgate sensor roughly aligned with the
    magnetic field.  The three axes are:
    
    - `h` - Horizontal 'leading' ahead of the local magnetic
    declination (magnetic north) at the time of installation, so
    that the local magnetic vector would eventually cross the h axis
    
    - `e` - Horizontal, nominally orthogonal to h (roughly magnetic
      east)
    - `z` - Nominally vertical, downward, and nominally orthogonal
    to both `h` and `e`. Vertical at installation on a balancing
    device with the intended purpose of staying level if the pier on
    which it is mounted tilts under the sensor, all enclosed under a
    glass dome to keep air movements from convecting heat directly
    to the sensor from the room, or pushing the balanced system
    
    Simultaneously, the field is measured by an Overhauser-effect
    scalar magnetometer (non-directional).  This is called the total
    field:
    
    - `F` - Total field at the Overhauser pier
    
    A third magnetometer, called a declination-inclination
    magnetometer (DIM) is used to manually find direction of
    
    the field for the purpose of calibrating the three-axis sensor
    mentioned above, and converting the coordinate system to that of
    a geographic north, east, and downward set of axes:
    
    - `X` - Geographically North component of the magnetic field,
    based on a survey of the absolute pier, and the azimuth mark, at
    the time of installation, and periodically on a time scale of a
    few years
    - `Y` - Geographically East component of the magnetic field,
    again based on the survey mentioned in `X` above
    
    - `Z` - Vertical component of the magnetic field, downward,
     based on leveling the theodolite at each absolute measurement
     session
    
    The declination and inclination measured by the DIM are:
    
    - `D` - declination
    - `I` - inclination
    
    The measurements with the DIM are called absolutes and measured
    on a timescale on the order of 1 week.  Four sets of four
    measurements each are recorded on four orientations of the DIM
    sensor and these measurements are averaged, to account for errors
    in the sensor and its alignment to the optical axis of the
    theodolite to which it is mounted.
    
    The real-time measurements (to the nearest second) of `h`, `e`,
    
    `z` and `F` are used to compute what are known as baselines, or
    the differences in the pseudo-vector cylindrical coordinate
    representation.  The equations relating these quantities, with
    some definitions, are found below:
    
    - `F_pier_correction` - measured on the order of once or twice
    
    per year, by a second Overhauser recording for a few hours at
    the absolute pier location (in place of the absolute DIM
      theodolite)
    
    - `F_corrected = F + F_pier_correction`
    - `X = F_corrected*cos(I)*cos(D)`
    - `Y = F_corrected*cos(I)*sin(D)`
    - `Z = F_corrected*sin(I)`
    
    - `H_absolute = sqrt(X**2 + Y**2) = F_corrected*cos(I)`
    
    - `D_absolute = arctan2(Y,X) = D`
    - `Z_absolute = F_corrected*sin(I)`
    
    - `H_ordinate = sqrt(h**2 + e**2)` - were the angles small, this may
    
    have been historically approximated as `h`
    - `D_ordinate = arctan2(e,h)` - were the angles small, this may
    have been historically approximated as `e/h`
    - `Z_ordinate = z`
    - `H_baseline = H_absolute - H_ordinate`
    - `D_baseline = D_absolute - D_ordinate`
    - `Z_baseline = Z_absolute - Z_ordinate`
    
    ## Calibration to Reduce Errors and Transform Coordinates
    
    The purpose of making the manual absolute measurements is to
    account for errors in the vector magnetometer, and transform
    the recorded `h`, `e`, `z` data into `X`, `Y`, `Z` coordinates.
    There are several types of errors:
    
    - non-orthogonal sensor error, which can be corrected by a
    transformation matrix as a linear operator
    - scale error: measurement by one unit in one sensor not being
       equal to one unit of the field, which can again be corrected
       by a different kind of transformation matrix; for fluxgate
       (and DIM) magnetic sensors, this is known to be
       temperature-dependent
    - offset error: measurement with no field applied gives a
      non-zero sensor output; can be corrected by adding a vector,
      which can be re-cast as a matrix transformation and linear
      operator by an affine transformation; for fluxgate (and DIM)
      magnetic sensors, this is known to be temperature-dependent
    - local magnetic disturbances - usually minimized by site
    selection and disciplined operations during maintenance and
    measurement.
    
    The combined effect for the above mentioned errors, as well as
    a final rotation to transform coordinates to X,Y,Z can be found
    
    using a least-squares algorithm and baseline calculator data.  
    This is phase one of the Adjusted Data project.
    
    Usage for this algorithm is shown in this
    [Adjusted Usage](Adjusted_usage.md)
    example.
    
    Example calculations of affine transformation matrices for USGS
    
    observatories are shown in this
    [Adjusted Example](AdjustedPhaseOneFunction2.ipynb) IPython
    notebook.
    
    There's a [Generation Tool](AdjustedPhase1GenerationTool.ipynb) notebook, for
    generating the tranformation matrices in an automated fashion, with tools for
    adjusting manually and previewing the effect on delta F, etc.
    
    
     - Jankowski, J., and Sucksdorff, C., [Guide for Magnetic Measurements and Observatory Practice](http://www.iugg.org/IAGA/iaga-pages/pdf/Iaga-Guide-Observatories.pdf),
       Int. J. of Forecasting, 19(1), 143-148.
    
     - Hitchman, P. G., Crosthwaite, W. V., Lewis, A. M., and Wang, L. (2011), [Australian Geomagnetism Report 2011](https://d28rz98at9flks.cloudfront.net/73627/Rec2012_072.pdf)