Changeset 3156
- Timestamp:
- Feb 7, 2005, 6:56:59 PM (21 years ago)
- Location:
- trunk/doc
- Files:
-
- 5 edited
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. (modified) (1 prop)
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.cvsignore (modified) (1 diff)
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design/ps1_ipp_cluster_io.sxc (modified) ( previous)
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misc/Makefile (modified) (1 diff)
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misc/Objects.tex (modified) (5 diffs)
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trunk/doc
- Property svn:ignore
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old new 5 5 *.log 6 6 *.out 7 PSDC
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- Property svn:ignore
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trunk/doc/.cvsignore
r133 r3156 1 1 *.log *.dvi *.aux *.toc *.log *.out 2 PSDC -
trunk/doc/misc/Makefile
r2533 r3156 1 # $Id: Makefile,v 1. 3 2004-11-30 18:05:51eugene Exp $1 # $Id: Makefile,v 1.4 2005-02-08 04:56:59 eugene Exp $ 2 2 3 3 PDFLATEX = env TEXINPUTS=../../latex/inputs:$(TEXINPUTS):.: pdflatex 4 4 PSLATEX = env TEXINPUTS=../../latex/inputs:$(TEXINPUTS):.: latex 5 5 6 all : codeConventions.pdf 6 all : codeConventions.pdf perlCodeConventions.pdf 7 7 8 8 %.pdf: %.tex -
trunk/doc/misc/Objects.tex
r2940 r3156 15 15 \maketitle 16 16 17 \section{} 18 19 Object Detection 17 \section{Object Detection} 20 18 21 19 Object detection consists of smoothing the image with a kernel … … 44 42 sparse images with few peaks. 45 43 46 Object Classification 44 \section{Object Classification} 47 45 48 46 After objects have been detected by finding their peaks, some basic … … 99 97 simple moments, and must be tested on a case-by-case basis. 100 98 101 Object Measurements 99 \section{Object Measurements} 102 100 103 101 We have several goals in measuring the objects in the image. We would … … 227 225 Speed vs Detail 228 226 229 230 227 PSF Model Typical Execution Time (msec / object) 231 228 Pgauss 1.5 … … 247 244 radii is small, so binning together pixels can increase the 248 245 signal-to-noise per-pixel and speed up the analysis without 249 diminishing the accuracy of the measurement.246 significantly diminishing the accuracy of the measurement. 250 247 251 248 Stellar Densities 252 249 253 APIs 254 255 typedef struct { 256 int x; 257 int y; 258 int class; /* an enum? */ 259 float counts; 260 } Peaks; 261 262 class: isolated, edge, flattop 263 264 typedef struct { 265 float x; 266 float y; 267 float sx; 268 float sy; 269 float sxy; 270 float zsum; 271 float zpeak; 272 float sky; 273 } ObjectStats; 274 275 pmFindImagePeaks (psImage image, 250 Galaxy Models 251 252 Names: 253 254 Peak, Source, Object, Star, Galaxy, PSF 255 256 Peak: a single pixel higher than its 8 neighbors 257 258 Source: 259 260 Models: 261 real Gaussian: f(z) = Zo exp (-z) + So 262 pseudo Gaussian: f(z) = Zo (1 + z + (1/2) z^2 + (1/6) z^3)^(-1) 263 Waussian (?): f(z) = Zo (1 + z + B_1 (1/2) z^2 (1 + B_2 (1/3) z))^(-1) 264 Core Powerlaw: f(z) = Zo (1 + z_1 + z_2^n)^(-1) 265 moffat func: 266 sersic f(z) = Zo exp (-z^n) (n integer? n/2 integer?) 267 sersic w/ core f(z) = Zb (1 + z + (1/2) z^2 + (1/6) z^3)^(-1) + Zd exp (-A z^n) 268 (n = 1/2 : exponential disk; n = 1/8 : deVau) 276 269 277 270 \end{document}
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