Пример #1
0
void eraBp06(double date1, double date2,
             double rb[3][3], double rp[3][3], double rbp[3][3])
/*
**  - - - - - - - -
**   e r a B p 0 6
**  - - - - - - - -
**
**  Frame bias and precession, IAU 2006.
**
**  Given:
**     date1,date2  double         TT as a 2-part Julian Date (Note 1)
**
**  Returned:
**     rb           double[3][3]   frame bias matrix (Note 2)
**     rp           double[3][3]   precession matrix (Note 3)
**     rbp          double[3][3]   bias-precession matrix (Note 4)
**
**  Notes:
**
**  1) The TT date date1+date2 is a Julian Date, apportioned in any
**     convenient way between the two arguments.  For example,
**     JD(TT)=2450123.7 could be expressed in any of these ways,
**     among others:
**
**             date1         date2
**
**         2450123.7           0.0       (JD method)
**         2451545.0       -1421.3       (J2000 method)
**         2400000.5       50123.2       (MJD method)
**         2450123.5           0.2       (date & time method)
**
**     The JD method is the most natural and convenient to use in
**     cases where the loss of several decimal digits of resolution
**     is acceptable.  The J2000 method is best matched to the way
**     the argument is handled internally and will deliver the
**     optimum resolution.  The MJD method and the date & time methods
**     are both good compromises between resolution and convenience.
**
**  2) The matrix rb transforms vectors from GCRS to mean J2000.0 by
**     applying frame bias.
**
**  3) The matrix rp transforms vectors from mean J2000.0 to mean of
**     date by applying precession.
**
**  4) The matrix rbp transforms vectors from GCRS to mean of date by
**     applying frame bias then precession.  It is the product rp x rb.
**
**  Called:
**     eraPfw06     bias-precession F-W angles, IAU 2006
**     eraFw2m      F-W angles to r-matrix
**     eraPmat06    PB matrix, IAU 2006
**     eraTr        transpose r-matrix
**     eraRxr       product of two r-matrices
**
**  References:
**
**     Capitaine, N. & Wallace, P.T., 2006, Astron.Astrophys. 450, 855
**
**     Wallace, P.T. & Capitaine, N., 2006, Astron.Astrophys. 459, 981
**
**  Copyright (C) 2013, NumFOCUS Foundation.
**  Derived, with permission, from the SOFA library.  See notes at end of file.
*/
{
   double gamb, phib, psib, epsa, rbt[3][3];


/* B matrix. */
   eraPfw06(ERFA_DJM0, ERFA_DJM00, &gamb, &phib, &psib, &epsa);
   eraFw2m(gamb, phib, psib, epsa, rb);

/* PxB matrix. */
   eraPmat06(date1, date2, rbp);

/* P matrix. */
   eraTr(rb, rbt);
   eraRxr(rbp, rbt, rp);

   return;

}
Пример #2
0
void eraPb06(double date1, double date2,
             double *bzeta, double *bz, double *btheta)
/*
**  - - - - - - - -
**   e r a P b 0 6
**  - - - - - - - -
**
**  This function forms three Euler angles which implement general
**  precession from epoch J2000.0, using the IAU 2006 model.  Frame
**  bias (the offset between ICRS and mean J2000.0) is included.
**
**  Given:
**     date1,date2  double   TT as a 2-part Julian Date (Note 1)
**
**  Returned:
**     bzeta        double   1st rotation: radians cw around z
**     bz           double   3rd rotation: radians cw around z
**     btheta       double   2nd rotation: radians ccw around y
**
**  Notes:
**
**  1) The TT date date1+date2 is a Julian Date, apportioned in any
**     convenient way between the two arguments.  For example,
**     JD(TT)=2450123.7 could be expressed in any of these ways,
**     among others:
**
**            date1          date2
**
**         2450123.7           0.0       (JD method)
**         2451545.0       -1421.3       (J2000 method)
**         2400000.5       50123.2       (MJD method)
**         2450123.5           0.2       (date & time method)
**
**     The JD method is the most natural and convenient to use in
**     cases where the loss of several decimal digits of resolution
**     is acceptable.  The J2000 method is best matched to the way
**     the argument is handled internally and will deliver the
**     optimum resolution.  The MJD method and the date & time methods
**     are both good compromises between resolution and convenience.
**
**  2) The traditional accumulated precession angles zeta_A, z_A,
**     theta_A cannot be obtained in the usual way, namely through
**     polynomial expressions, because of the frame bias.  The latter
**     means that two of the angles undergo rapid changes near this
**     date.  They are instead the results of decomposing the
**     precession-bias matrix obtained by using the Fukushima-Williams
**     method, which does not suffer from the problem.  The
**     decomposition returns values which can be used in the
**     conventional formulation and which include frame bias.
**
**  3) The three angles are returned in the conventional order, which
**     is not the same as the order of the corresponding Euler
**     rotations.  The precession-bias matrix is
**     R_3(-z) x R_2(+theta) x R_3(-zeta).
**
**  4) Should zeta_A, z_A, theta_A angles be required that do not
**     contain frame bias, they are available by calling the ERFA
**     function eraP06e.
**
**  Called:
**     eraPmat06    PB matrix, IAU 2006
**     eraRz        rotate around Z-axis
**
**  Copyright (C) 2013-2014, NumFOCUS Foundation.
**  Derived, with permission, from the SOFA library.  See notes at end of file.
*/
{
   double r[3][3], r31, r32;


/* Precession matrix via Fukushima-Williams angles. */
   eraPmat06(date1, date2, r);

/* Solve for z. */
   *bz = atan2(r[1][2], r[0][2]);

/* Remove it from the matrix. */
   eraRz(*bz, r);

/* Solve for the remaining two angles. */
   *bzeta = atan2 (r[1][0], r[1][1]);
   r31 = r[2][0];
   r32 = r[2][1];
   *btheta = atan2(-ERFA_DSIGN(sqrt(r31 * r31 + r32 * r32), r[0][2]),
                   r[2][2]);

   return;

}