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Abstract
I/O
Examples
Particulars
Required Reading
Version
Index_Entries

Abstract


   CSPICE_GFRR determines the time intervals for which a specified constraint
   on the observer-target range rate is met.

I/O


   Given:

      Parameters-

      All parameters described here are declared in the header file
      SpiceGF.h. See that file for parameter values.

      SPICE_GF_CNVTOL

               is the convergence tolerance used for finding endpoints of
               the intervals comprising the result window.
               SPICE_GF_CNVTOL is used to determine when binary searches
               for roots should terminate: when a root is bracketed
               within an interval of length SPICE_GF_CNVTOL, the root is
               considered to have been found.

               The accuracy, as opposed to precision, of roots found
               by this routine depends on the accuracy of the input
               data. In most cases, the accuracy of solutions will be
               inferior to their precision.


      Arguments-

      target   name of the target body. Optionally, you may supply the integer
               ID code for the object as an integer string.  For example both
               'MOON' and '301' are legitimate strings that indicate the moon
               is the target body.

               [1,c1] = size(target); char = class(target)

                  or

               [1,1] = size(target); cell = class(target)

               Case and leading or trailing blanks are not significant
               in the string 'target'.

               The target and observer define a position vector which
               points from the observer to the target; the time derivative
               length of this vector is the "range rate" that serves as
               the subject of the search performed by this routine.

      abcorr   describes the aberration corrections to apply to the state
               evaluations to account for one-way light time and stellar
               aberration.

               [1,c2] = size(abcorr); char = class(abcorr)

                  or

               [1,1] = size(abcorr); cell = class(abcorr)

               This routine accepts the same aberration corrections as does
               the CSPICE routine spkezr_c. See the header of spkezr_c for a
               detailed description of the aberration correction options.
               For convenience, the options are listed below:

                  'NONE'     Apply no correction.

                  'LT'       "Reception" case:  correct for
                             one-way light time using a Newtonian
                             formulation.

                  'LT+S'     "Reception" case:  correct for
                             one-way light time and stellar
                             aberration using a Newtonian
                             formulation.

                  'CN'       "Reception" case:  converged
                             Newtonian light time correction.

                  'CN+S'     "Reception" case:  converged
                             Newtonian light time and stellar
                             aberration corrections.

                  'XLT'      "Transmission" case:  correct for
                             one-way light time using a Newtonian
                             formulation.

                  'XLT+S'    "Transmission" case:  correct for
                             one-way light time and stellar
                             aberration using a Newtonian
                             formulation.

                  'XCN'      "Transmission" case:  converged
                             Newtonian light time correction.

                  'XCN+S'    "Transmission" case:  converged
                             Newtonian light time and stellar
                             aberration corrections.

               The 'abcorr' string lacks sensitivity to case, and to embedded,
               leading and trailing blanks.

      obsrvr   name of the observing body. Optionally, you may supply the ID
               code of the object as an integer string. For example both
               "MOON" and "301" are legitimate strings that indicate the Moon
               is the observer.

               [1,c3] = size(obsrvr); char = class(obsrvr)

                  or

               [1,1] = size(obsrvr); cell = class(obsrvr)

               Case and leading or trailing blanks are not significant
               in the string 'obsrvr'.

      relate   the constraint relational operator on observer-target
               distance. The result window found  by this routine indicates
               the time intervals where the constraint is satisfied.

               [1,c4] = size(relate); char = class(relate)

                  or

               [1,1] = size(relate); cell = class(relate)

               Supported values of 'relate' and corresponding meanings are
               shown below:

                  '>'      Range rate is greater than the reference
                           value 'refval'.

                  '='      Range rate is equal to the reference
                           value 'refval'.

                  '<'      Range rate is less than the reference
                           value 'refval'.


                  'ABSMAX'  Range rate is at an absolute maximum.

                  'ABSMIN'  Range rate is at an absolute  minimum.

                  'LOCMAX'  Range rate is at a local maximum.

                  'LOCMIN'  Range rate is at a local minimum.

               The caller may indicate that the region of interest
               is the set of time intervals where the quantity is
               within a specified distance of an absolute extremum.
               The argument 'adjust' (described below) is used to
               specify this distance.

               Local extrema are considered to exist only in the
               interiors of the intervals comprising the confinement
               window:  a local extremum cannot exist at a boundary
               point of the confinement window.

               The 'relate' string lacks sensitivity to case, leading
               and trailing blanks.

      refval   reference value used together with relate argument to define
               an equality or inequality to satisfy by the observer-target
               distance. See the discussion of relate above for further
               information.

               [1,1] = size(refval); double = class(refval)

               The units of 'refval' are km.

      adjust   value used to modify searches for absolute extrema: when relate
               is set to ABSMAX or ABSMIN and adjust is set to a positive
               value, cspice_gfrr finds times when the observer-target
               vector coordinate is within 'adjust'  kilometers/second of
               the specified extreme value.

               [1,1] = size(adjust); double = class(adjust)

               For relate set to ABSMAX, the result window contains
               time intervals when the observer-target vector coordinate has
               values between ABSMAX - 'adjust' and ABSMAX.

               For relate set to ABSMIN, the result window contains
               time intervals when the phase angle has values between
               ABSMIN and ABSMIN + 'adjust'.

               'adjust' is not used for searches for local extrema,
               equality or inequality conditions.

      step     time step size to use in the search. 'step' must be short
               enough for a search using this step size to locate the time
               intervals where coordinate function of the observer-target
               vector is monotone increasing or decreasing. However, step must
               not be *too* short, or the search will take an unreasonable
               amount of time.

               [1,1] = size(step); double = class(step)

               The choice of 'step' affects the completeness but not
               the precision of solutions found by this routine; the
               precision is controlled by the convergence tolerance.

               'step' has units of TDB seconds.

      nintvls  value specifying the number of intervals in the internal
               workspace array used by this routine. 'nintvls' should be at
               least as large as the number of intervals within the search
               region on which the specified observer-target vector coordinate
               function is monotone increasing or decreasing. It does no harm
               to pick a value of 'nintvls' larger than the minimum required
               to execute the specified search, but if chosen too small, the
               search will fail.

               [1,1] = size(nintvls); int32 = class(nintvls)

      cnfine   a SPICE window that confines the time period over which the
               specified search is conducted. 'cnfine' may consist of a
               single interval or a collection of intervals.

               [2m,1] = size(cnfine); double = class(cnfine)

               In some cases the confinement window can be used to
               greatly reduce the time period that must be searched
               for the desired solution. See the Particulars section
               below for further discussion.

               See the Examples section below for a code example
               that shows how to create a confinement window.

   the call:

      result = cspice_gfrr( target, abcorr, obsrvr, relate, refval, ...
                            adjust, step, nintvls, cnfine)

   returns:

      result   the SPICE window of intervals, contained within the
               confinement window 'cnfine', on which the specified
               constraint is satisfied.

               [2n,1] = size(result); double = class(result)

               If the search is for local extrema, or for absolute
               extrema with adjust set to zero, then normally each
               interval of result will be a singleton: the left and
               right endpoints of each interval will be identical.

               If no times within the confinement window satisfy the
               constraint, 'result' will return with cardinality zero.

Examples


   Any numerical results shown for this example may differ between
   platforms as the results depend on the SPICE kernels used as input
   and the machine specific arithmetic implementation.

      Use the meta-kernel shown below to load the required SPICE
      kernels.

         KPL/MK

         File name: standard.tm

         This meta-kernel is intended to support operation of SPICE
         example programs. The kernels shown here should not be
         assumed to contain adequate or correct versions of data
         required by SPICE-based user applications.

         In order for an application to use this meta-kernel, the
         kernels referenced here must be present in the user's
         current working directory.

         The names and contents of the kernels referenced
         by this meta-kernel are as follows:

            File name                     Contents
            ---------                     --------
            de421.bsp                     Planetary ephemeris
            pck00009.tpc                  Planet orientation and
                                          radii
            naif0009.tls                  Leapseconds

         \begindata

            KERNELS_TO_LOAD = ( 'de421.bsp',
                                'pck00009.tpc',
                                'naif0009.tls'  )

         \begintext

   Example:

      Determine the time windows from January 1, 2007 UTC to
      April 1, 2007 UTC for which the sun-moon range rate satisfies the
      relation conditions with respect to a reference value of
      0.3365 km/s radians (this range rate known to occur within the
      search interval). Also determine the time windows corresponding
      to the local maximum and minimum range rate, and the absolute
      maximum and minimum range rate during the search interval.

      MAXWIN  =  2000;
      TIMFMT  = 'YYYY-MON-DD HR:MN:SC.###';

      relate = { '=', '<', '>', ...
                'LOCMIN', 'ABSMIN', 'LOCMAX', 'ABSMAX' };

      %
      % Load kernels.
      %
      cspice_furnsh( 'standard.tm' );

      %
      % Store the time bounds of our search interval in
      % the cnfine confinement window.
      %
      et = cspice_str2et( { '2007 JAN 01', '2007 APR 01'} );

      cnfine = cspice_wninsd( et(1), et(2) );

      %
      % Search using a step size of 1 day (in units of seconds).
      % The reference value is .3365 km/s. We're not using the
      % adjustment feature, so we set 'adjust' to zero.
      %
      step   = cspice_spd;
      adjust = 0.D0;
      refval = .3365D0;

      target  = 'MOON';
      abcorr  = 'NONE';
      obsrvr  = 'SUN';
      nintvls = MAXWIN;

      for j=1:7

         fprintf( 'Relation condition: %s\n',  char( relate(j) ) )

         %
         % Perform the search. The SPICE window 'result' contains
         % the set of times when the condition is met.
         %
         result = cspice_gfrr( target,    abcorr, obsrvr, ...
                               relate(j), refval, adjust, ...
                               step,      nintvls,        ...
                               cnfine );

         %
         % List the beginning and ending times in each interval
         % if 'result' contains data.
         %
         count = cspice_wncard( result );

         if ( isequal(count,0) )

            disp( 'Result window is empty.' )

         else

            for i= 1:count

               %
               % Fetch the endpoints of the Ith interval
               % of the result window.
               %
              [left, right] = cspice_wnfetd( result, i );

              timstr = cspice_timout( [left,right], TIMFMT );

              disp( ['Start time, drdt = ', timstr(1,:) ] )
              disp( ['Stop time,  drdt = ', timstr(2,:) ] )

            end

            disp( ' ' )

         end

      end

      %
      % It's always good form to unload kernels after use,
      % particularly in Matlab due to data persistence.
      %
      cspice_kclear

   MATLAB outputs:

      Relation condition: =
      Start time, drdt = 2007-JAN-02 00:35:19.574
      Stop time,  drdt = 2007-JAN-02 00:35:19.574
      Start time, drdt = 2007-JAN-19 22:04:54.899
      Stop time,  drdt = 2007-JAN-19 22:04:54.899
      Start time, drdt = 2007-FEB-01 23:30:13.428
      Stop time,  drdt = 2007-FEB-01 23:30:13.428
      Start time, drdt = 2007-FEB-17 11:10:46.540
      Stop time,  drdt = 2007-FEB-17 11:10:46.540
      Start time, drdt = 2007-MAR-04 15:50:19.929
      Stop time,  drdt = 2007-MAR-04 15:50:19.929
      Start time, drdt = 2007-MAR-18 09:59:05.959
      Stop time,  drdt = 2007-MAR-18 09:59:05.959

      Relation condition: <
      Start time, drdt = 2007-JAN-02 00:35:19.574
      Stop time,  drdt = 2007-JAN-19 22:04:54.899
      Start time, drdt = 2007-FEB-01 23:30:13.428
      Stop time,  drdt = 2007-FEB-17 11:10:46.540
      Start time, drdt = 2007-MAR-04 15:50:19.929
      Stop time,  drdt = 2007-MAR-18 09:59:05.959

      Relation condition: >
      Start time, drdt = 2007-JAN-01 00:00:00.000
      Stop time,  drdt = 2007-JAN-02 00:35:19.574
      Start time, drdt = 2007-JAN-19 22:04:54.899
      Stop time,  drdt = 2007-FEB-01 23:30:13.428
      Start time, drdt = 2007-FEB-17 11:10:46.540
      Stop time,  drdt = 2007-MAR-04 15:50:19.929
      Start time, drdt = 2007-MAR-18 09:59:05.959
      Stop time,  drdt = 2007-APR-01 00:00:00.000

      Relation condition: LOCMIN
      Start time, drdt = 2007-JAN-11 07:03:58.988
      Stop time,  drdt = 2007-JAN-11 07:03:58.988
      Start time, drdt = 2007-FEB-10 06:26:15.439
      Stop time,  drdt = 2007-FEB-10 06:26:15.439
      Start time, drdt = 2007-MAR-12 03:28:36.404
      Stop time,  drdt = 2007-MAR-12 03:28:36.404

      Relation condition: ABSMIN
      Start time, drdt = 2007-JAN-11 07:03:58.988
      Stop time,  drdt = 2007-JAN-11 07:03:58.988

      Relation condition: LOCMAX
      Start time, drdt = 2007-JAN-26 02:27:33.766
      Stop time,  drdt = 2007-JAN-26 02:27:33.766
      Start time, drdt = 2007-FEB-24 09:35:07.816
      Stop time,  drdt = 2007-FEB-24 09:35:07.816
      Start time, drdt = 2007-MAR-25 17:26:56.150
      Stop time,  drdt = 2007-MAR-25 17:26:56.150

      Relation condition: ABSMAX
      Start time, drdt = 2007-MAR-25 17:26:56.150
      Stop time,  drdt = 2007-MAR-25 17:26:56.150

Particulars


   This routine determines if the caller-specified constraint condition
   on the geometric event (range rate) is satisfied for any time intervals
   within the confinement window 'cnfine'. If one or more such time
   intervals exist, those intervals return in the 'result' window.

   Below we discuss in greater detail aspects of this routine's
   solution process that are relevant to correct and efficient
   use of this routine in user applications.

   The Search Process
   ==================

   Regardless of the type of constraint selected by the caller, this
   routine starts the search for solutions by determining the time
   periods, within the confinement window, over which the specified
   range rate function is monotone increasing and monotone
   decreasing. Each of these time periods is represented by a Mice window.
   Having found these windows, all of the range rate function's
   local extrema within the confinement window are known. Absolute extrema
   then can be found very easily.

   Within any interval of these "monotone" windows, there will be at
   most one solution of any equality constraint. Since the boundary
   of the solution set for any inequality constraint is contained in
   the union of

      - the set of points where an equality constraint is met
      - the boundary points of the confinement window

   the solutions of both equality and inequality constraints can be
   found easily once the monotone windows have been found.

   Step Size
   =========

   The monotone windows (described above) are found using a two-step
   search process. Each interval of the confinement window is
   searched as follows: first, the input step size is used to
   determine the time separation at which the sign of the rate of
   change of range rate will be sampled. Starting at the left endpoint
   of an interval, samples will be taken at each step. If a change of
   sign is found, a root has been bracketed; at that point, the time
   at which the range rate is zero can be found by a refinement
   process, for example, using a binary search.

   Note that the optimal choice of step size depends on the lengths
   of the intervals over which the range rate function is monotone:
   the step size should be shorter than the shortest of these
   intervals (within the confinement window).

   The optimal step size is *not* necessarily related to the lengths
   of the intervals comprising the result window. For example, if
   the shortest monotone interval has length 10 days, and if the
   shortest result window interval has length 5 minutes, a step size
   of 9.9 days is still adequate to find all of the intervals in the
   result window. In situations like this, the technique of using
   monotone windows yields a dramatic efficiency improvement over a
   state-based search that simply tests at each step whether the
   specified constraint is satisfied. The latter type of search can
   miss solution intervals if the step size is longer than the
   shortest solution interval.

   Having some knowledge of the relative geometry of the target and
   observer can be a valuable aid in picking a reasonable step size.
   In general, the user can compensate for lack of such knowledge by
   picking a very short step size; the cost is increased computation
   time.

   Note that the step size is not related to the precision with which
   the endpoints of the intervals of the result window are computed.
   That precision level is controlled by the convergence tolerance.

   Convergence Tolerance
   =====================

   As described above, the root-finding process used by this routine
   involves first bracketing roots and then using a search process
   to locate them. "Roots" are both times when local extrema are
   attained and times when the range rate function is equal to a
   reference value. All endpoints of the intervals comprising the
   result window are either endpoints of intervals of the
   confinement window or roots.

   Once a root has been bracketed, a refinement process is used to
   narrow down the time interval within which the root must lie.
   This refinement process terminates when the location of the root
   has been determined to within an error margin called the
   "convergence tolerance." The convergence tolerance used by this
   routine is set by the parameter SPICE_GF_CNVTOL.

   The value of SPICE_GF_CNVTOL is set to a "tight" value so that the
   tolerance doesn't become the limiting factor in the accuracy of
   solutions found by this routine. In general the accuracy of input
   data will be the limiting factor.

   The user may change the convergence tolerance from the default
   SPICE_GF_CNVTOL value by calling the routine cspice_gfstol, e.g.

      cspice_gfstol( tolerance value in seconds )

   Call cspice_gfstol prior to calling this routine. All subsequent
   searches will use the updated tolerance value.

   Setting the tolerance tighter than SPICE_GF_CNVTOL is unlikely to be
   useful, since the results are unlikely to be more accurate.
   Making the tolerance looser will speed up searches somewhat,
   since a few convergence steps will be omitted. However, in most
   cases, the step size is likely to have a much greater affect on
   processing time than would the convergence tolerance.

   The Confinement Window
   ======================

   The simplest use of the confinement window is to specify a time
   interval within which a solution is sought. However, the
   confinement window can, in some cases, be used to make searches
   more efficient. Sometimes it's possible to do an efficient search
   to reduce the size of the time period over which a relatively
   slow search of interest must be performed.

Required Reading


   For important details concerning this module's function, please refer to
   the CSPICE routine gfrr_c.

   MICE.REQ
   GF.REQ
   SPK.REQ
   NAIF_IDS.REQ
   TIME.REQ
   WINDOWS.REQ

Version


   -Mice Version 1.0.1, 13-NOV-2014, EDW (JPL)

       Edited I/O section to conform to NAIF standard for Mice documentation.

   -Mice Version 1.0.1, 05-SEP-2012, EDW (JPL)

       Edit to comments to correct search description.

       Corrected minor typo in header.

       Header updated to describe use of cspice_gfstol.

   -Mice Version 1.0.0, 16-FEB-2010, EDW (JPL)

Index_Entries


   GF range rate search


Wed Apr  5 18:00:32 2017