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<h1 class="declaration">function sersic2dsimplefit</h1>
<p>
Fit a two-dimensional sersic function to a rectangular grid (i.e. an image) without any given estimates.<br>
The 2D sersic function is defined as I(x,y) = c + Ie * exp(-bn * (R/Re)^(1/n) - 1).<br>
R is an elliptical equation: R = sqrt(xp^2 + (yp / q)^2).<br>
xp and yp describe a rotation: xp = (x - x0) * cos(angle) + (y - y0) * sin(angle), yp = - (x - x0) * sin(angle) + (y - y0) * cos(angle) and bn = 1.9992 * n - 0.3271.
<br><br><b><font size=+2>Syntax</font></b><br>
<i>result</i> = sersic2dsimplefit(image, x_cen, y_cen, width [, chisq [, n]])
<br><br><b><font size=+2>Arguments</font></b><br>
<table CELLSPACING=0 CELLPADDING=0>
<tr VALIGN=TOP><td nowrap>image:&nbsp;&nbsp;</td>
<td> The image to be fit</td></tr>
<tr VALIGN=TOP><td nowrap>x_cen:&nbsp;&nbsp;</td>
<td> The x-position of the fit center</td></tr>
<tr VALIGN=TOP><td nowrap>y_cen:&nbsp;&nbsp;</td>
<td> The x-position of the fit center</td></tr>
<tr VALIGN=TOP><td nowrap>width:&nbsp;&nbsp;</td>
<td> The half-width of the fitting window</td></tr>
<tr VALIGN=TOP><td nowrap>chisq:&nbsp;&nbsp;</td>
<td> If set to a named variable, the variable is overwritten with the chi-squared of the fit.</td></tr>
<tr VALIGN=TOP><td nowrap>n:&nbsp;&nbsp;</td>
<td> If n should be fixed and not fitted.</td></tr>
</table>
<br><br><b><font size=+2>Returns</font></b><br>
The returned vector contains the best-fit parameters in the form [c, Ie, Re, x0, y0, angle, q, n] or [c, Ie, Re, x0, y0, angle, q] if n was kept fixed. Angle is in degrees. When the negative reciprocal value in q is returned, then the angle is also increased by 90 degrees.
<br><br><b><font size=+2>See also</font></b><br>
<a href = "function_sersic2dfit.html">function sersic2dfit</a><br>


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