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Changeset 3156


Ignore:
Timestamp:
Feb 7, 2005, 6:56:59 PM (21 years ago)
Author:
eugene
Message:

minor mods

Location:
trunk/doc
Files:
5 edited

Legend:

Unmodified
Added
Removed
  • trunk/doc

    • Property svn:ignore
      •  

        old new  
        55*.log
        66*.out
         7PSDC
  • trunk/doc/.cvsignore

    r133 r3156  
    11*.log *.dvi *.aux *.toc *.log *.out
     2PSDC
  • trunk/doc/misc/Makefile

    r2533 r3156  
    1 # $Id: Makefile,v 1.3 2004-11-30 18:05:51 eugene Exp $
     1# $Id: Makefile,v 1.4 2005-02-08 04:56:59 eugene Exp $
    22
    33PDFLATEX = env TEXINPUTS=../../latex/inputs:$(TEXINPUTS):.: pdflatex
    44PSLATEX  = env TEXINPUTS=../../latex/inputs:$(TEXINPUTS):.: latex
    55
    6 all : codeConventions.pdf
     6all : codeConventions.pdf perlCodeConventions.pdf
    77
    88%.pdf: %.tex
  • trunk/doc/misc/Objects.tex

    r2940 r3156  
    1515\maketitle
    1616
    17 \section{}
    18 
    19 Object Detection
     17\section{Object Detection}
    2018
    2119Object detection consists of smoothing the image with a kernel
     
    4442sparse images with few peaks. 
    4543
    46 Object Classification
     44\section{Object Classification}
    4745
    4846After objects have been detected by finding their peaks, some basic
     
    9997simple moments, and must be tested on a case-by-case basis.
    10098
    101 Object Measurements
     99\section{Object Measurements}
    102100
    103101We have several goals in measuring the objects in the image.  We would
     
    227225Speed vs Detail
    228226
    229 
    230227PSF Model    Typical Execution Time (msec / object)
    231228Pgauss       1.5
     
    247244radii is small, so binning together pixels can increase the
    248245signal-to-noise per-pixel and speed up the analysis without
    249 diminishing the accuracy of the measurement.
     246significantly diminishing the accuracy of the measurement.
    250247
    251248Stellar Densities
    252249
    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,
     250Galaxy Models
     251
     252Names:
     253
     254Peak, Source, Object, Star, Galaxy, PSF
     255
     256Peak: a single pixel higher than its 8 neighbors
     257
     258Source:
     259
     260Models:
     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)
    276269
    277270\end{document}
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