Welcome to iraf.net Saturday, July 22 2017 @ 04:58 AM GMT

## APEXTRACT Trace Coefficients

The path of an aperture is described by a function that gives an additive
offset relative to the aperture center as stored under the database keyword
center. The function is saved in the database as a series of
coefficients. The section containing the coefficients starts with the
keyword "`curve`" and the number of coefficients.

The first four coefficients define the type of function, the order or number of spline pieces, and the range of the independent variable (the line or column coordinate along the dispersion). The first coefficient is the function type code with values:

Code Type 1 Chebyshev polynomial 2 Legendre polynomial 3 Cubic spline 4 Linear spline

The second coefficient is the order (actually the number of terms) of the polynomial or the number of pieces in the spline.

The next two coefficients are the range of the independent variable over which the function is defined. These values are used to normalize the input variable to the range -1 to 1 in the polynomial functions. If the independent variable is x and the normalized variable is n, then

n = (2 * x - (xmax + xmin)) / (xmax - xmin)

where xmin and xmax are the two coefficients.

The spline functions divide the range into the specified number of pieces. A spline coordinate s and the nearest integer below s, denoted as j, are defined by

s = (x - xmin) / (xmax - xmin) * npieces j = integer part of s

where npieces are the number of pieces.

The remaining coefficients are those for the appropriate function. The number of coefficients is either the same as the function order for the polynomials, npieces+1 for the linear spline, or npieces + 3 for the cubic spline.

1. Chebyshev Polynomial

The polynomial can be expressed as the sum

y = sum from i=1 to order {c_i * z_i}

where the the c_i are the coefficients and the z_i are defined interatively as:

z_1 = 1 z_2 = n z_i = 2 * n * z_{i-1} - z_{i-2}

2. Legendre Polynomial

The polynomial can be expressed as the sum

y = sum from i=1 to order {c_i * z_i}

where the the c_i are the coefficients and the z_i are defined interatively as:

z_1 = 1 z_2 = n z_i = ((2*i-3) * n * z_{i-1} - (i-2) * z_{i-2}) / (i - 1)

3. Linear Spline

The linear spline is evaluated as

y = c_j * a + c_{j+1} * b

where j is as defined earlier and a and b are fractional difference between s and the nearest integers above and below

a = (j + 1) - s b = s - j

4. Cubic Spline

The cubic spline is evaluated as

y = sum from i=0 to 3 {c_{i+j} * z_i}

where j is as defined earlier. The term z_i are computed from a and b, as defined earlier, as follows

z_0 = a**3 z_1 = 1 + 3 * a * (1 + a * b) z_2 = 1 + 3 * b * (1 + a * b) z_3 = b**3