Changeset 758 for trunk/doc/pslib/psLibADD.tex
- Timestamp:
- May 24, 2004, 10:14:06 AM (22 years ago)
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trunk/doc/pslib/psLibADD.tex (modified) (5 diffs)
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trunk/doc/pslib/psLibADD.tex
r756 r758 1 %%% $Id: psLibADD.tex,v 1.1 6 2004-05-24 19:27:53eugene Exp $1 %%% $Id: psLibADD.tex,v 1.17 2004-05-24 20:14:06 eugene Exp $ 2 2 \documentclass[panstarrs]{panstarrs} 3 3 … … 42 42 SLALIB Positional Astronomy Library & http://star-www.rl.ac.uk/star/docs/sun67.htx/sun67.html \\ \hline 43 43 Numerical Recipes (NR) & \\ \hline 44 Knuth &\\ \hline45 Sedgewick &\\ \hline44 Knuth, D.E. & Sorting and Searching; The Art of Computer Programming \\ \hline 45 Sedgewick, R. & Algorithms, Ch. 8 \\ \hline 46 46 Sorting Summary & {\tt http://www.iti.fh-flensburg.de/lang/algorithmen/sortieren/algoen.htm } \\ \hline 47 47 GSL & \\ \hline … … 231 231 valued, the natural bin size is an integer. Otherwise, the bin should 232 232 be a fraction of an estimate of the standard deviation. Use the 233 sample upper and lower quartiles to determine an estimate of the 234 standard deviation: $\sigma_e = (U_{\frac{1}{4}} - L_{\frac{1}{4}}) / 235 1.34$. The bin size shall be set at $\sigma_e / 10$. The remaining 236 steps of the algorithm are as follows: 233 $3\sigma$ clipped standard deviation as an estimator of the standard 234 deviation. The bin size shall be set at $\sigma_e / 10$. The 235 remaining steps of the algorithm are as follows: 237 236 238 237 \begin{itemize} … … 242 241 \item Find the bin with the peak value in the range $L_{\frac{1}{4}}$ 243 242 to $U_{\frac{1}{4}}$; this is the robust mode, $\mbox{mode}_r$. 244 \item Determine $dL = (U_{\frac{1}{4}} - L_{\frac{1}{4}}) / 8$.243 \item Determine $dL = (U_{\frac{1}{4}} - L_{\frac{1}{4}}) / 4$. 245 244 \item Fit a Gaussian to the bins in the range $\mbox{mode}_r - dL$ to 246 245 $\mbox{mode}_r + dL$. … … 253 252 percentile value and its two neighbors. Fit a quadratic to these 254 253 three points. The robust median value is the coordinate of the 255 quadratic which returns the 50\% value. 254 quadratic which returns the 50\% value. For the upper and lower 255 quartile points, the same process should be used, choosing the three 256 bins in the vicinity of the upper and lower quartile points. 256 257 257 258
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