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author | Joseph Hunkeler <jhunkeler@gmail.com> | 2015-07-08 20:46:52 -0400 |
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committer | Joseph Hunkeler <jhunkeler@gmail.com> | 2015-07-08 20:46:52 -0400 |
commit | fa080de7afc95aa1c19a6e6fc0e0708ced2eadc4 (patch) | |
tree | bdda434976bc09c864f2e4fa6f16ba1952b1e555 /pkg/xtools/doc/center1d.hlp | |
download | iraf-linux-fa080de7afc95aa1c19a6e6fc0e0708ced2eadc4.tar.gz |
Initial commit
Diffstat (limited to 'pkg/xtools/doc/center1d.hlp')
-rw-r--r-- | pkg/xtools/doc/center1d.hlp | 147 |
1 files changed, 147 insertions, 0 deletions
diff --git a/pkg/xtools/doc/center1d.hlp b/pkg/xtools/doc/center1d.hlp new file mode 100644 index 00000000..742fa7cb --- /dev/null +++ b/pkg/xtools/doc/center1d.hlp @@ -0,0 +1,147 @@ +.help center1d May93 xtools +.ih +NAME +center1d -- One dimensional centering +.ih +SYNOPSIS +.nf +center = center1d (initial, data, npts, width, type, radius, threshold) + +real initial # Initial guess +real data[npts] # Data points +int npts # Number of data points +real width # Feature width +int type # Feature type +real radius # Centering radius +real threshold # Detection threshold +.fi +.ih +ARGUMENTS +.ls initial +Initial guess for the center of the feature. +.le +.ls data[npts] +Pixel data vector. +.le +.ls npts +Number of points in the data vector. +.le +.ls width +Width used to define the convolution function. If the width is 1 or less +then the nearest minimum or maximum is returned. If the width is greater +than 1 then a minimum with of 3 is used in the algorithm. +.le +.ls type +Type of feature. The feature types are defined in the file <xtools/center1d.h>. +Currently the types are emission and absorption features. +.le +.ls radius +Centering radius or error limit about the initial guess. +.le +.ls threshold +Minimum difference between the maximum and minimum pixel value in the +region around the initial guess allowed for detecting a feature. For +data which is all positive and the type is emission then the +threshold is also used as an absolute cutoff. +.le +.ih +DESCRIPTION +If the width is 1 or less then the nearest minimum or maximum is found. +The centering radius is still applied as is the threshold. If the width +is greater than 1 then a minimum width of 3 is used in the algorithm. + +The one dimensional position of a feature is determined by solving the equation + + (1) integral {(I-I0) f(X-XC) dX} = 0 + +where I is the intensity at position X, I0 is the continuum intensity, X is the +pixel coordinate, and XC is the desired feature position. Figure 1 shows +the range of pixels used in determining the continuum intensity, the feature +threshold, and solving the equation. + +.ks +.nf + Figure 1: Data Feature Vector + +-----------------------------------------------------------+ + -| * | + S| * * | + | * * | + t| * ** | + | * * | + r| * * | + | * * | + e| * * | + | * * | + n| * * * *| + | * * * * * | + t| * * | + | * * | + h| * | + -| * | + +---------+-----------------+---------------------+---------+ + -B -A 0 A B + + X-XC + + A = radius + 0.5 width B = radius + 1.5 width +.fi +.ke + +The range -A to A is used to determine the continuum intensity and +the strength of the feature. For absorption features the continuum +intensity is the maximum point in this range while for emission +features the continuum is set to zero. Admittedly these are not real +measures of the continuum but they contain the fewest assumptions +and are tolerant of nearby contaminating features. The feature strength +is the difference between the maximum and minimum values. If the feature +strength is less than the specified detection threshold then a value of +INDEF is returned for the feature position. + +.ks +The range -B to B includes the range of allowed feature positions plus the +half-width of the feature. This range is used in solving equation (1). +The convolution function f(X-XC) is a sawtooth as shown in figure 2. +For absorption features the negative of this function is used. + +.nf + Figure 2: f(X-XC) + +-------------------+-------------------+ + | | * | + | | * * | + | | * * | + 0 +-*-*-*-*-----------*-----------*-*-*-*-+ + | * * | | + | * * | | + | * | | + +-------+-----------+-----------+-------+ + -width/2 0 width/2 + + X-XC +.fi +.ke + +The two figures graphically define the parameter \fIwidth\fR. Generally +it should be set to a value near the actual width of the emission or absorption +feature. If the width is too wide then the center will be affected by blending +from nearby lines while if it is too narrow the accuracy of the centering is +decreased. The parameter \fBradius\fR determines how far from the initial +estimate for XC the interactive solution of (1) may go. +Equation (1) is solved iteratively starting with the initial position. +When successive positions agree within 0.1% of a pixel the position is +returned. If the position wanders further than \fIradius\fR from the +initial guess or outside of the data vector then the procedure returns +the value INDEF. If more than 100 iterations are required or the corrections +per iteration exceed the minimum correction reached after 3 further iterations +then the solution has failed to converge and INDEF is returned. Note that +this latter condition may occur if the width is too small in a flat topped +profile. + +This task uses the one dimensional image interpolation package \fBiminterp\fR +in solving equation (1). +.ih +BUGS +Though the algorithm does not fail if the width is made very small the +results become unreliable. Therefore a silent limit of 3 is imposed +by the algorithm. If there is ever a need to allow smaller widths +then the procedure can be changed and the applications relinked. +.endhelp |