Commit 3b348a94 authored by Emmanuel Bertin's avatar Emmanuel Bertin
Browse files

Changed trunk directory name

parents
/* config.h.in. Generated from configure.ac by autoheader. */
/* Archive creation date */
#undef DATE
/* Define to 1 if you have the `atexit' function. */
#undef HAVE_ATEXIT
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This directory contains several ASCII files related to SExtractor
configuration:
default.sex: an example of SExtractor .sex configuration file.
default.param: a .param file, containing all parameters known by SExtractor.
To prevent some parameters to figure in the output catalog,
just erase or comment their names (by adding a # at the
beginning of the line).
default.nnw: a "Neural-Network-Weights" file for star/galaxy separation on
images with Moffat-like PSFs.
*.conv: several "classical" convolution masks for optimal detection:
- default.conv a small pyramidal function (fast),
- gauss*.conv a set of gaussian functions, for
seeing FWHMs between 1.5 and 5 pixels
(best for faint object detection),
- tophat*.conv a set of "top-hat" functions. Use them
to detect extended, low-surface
brightness objects, with a very low
THRESHOLD.
- mexhat*.conv "wavelets", producing a passband-
filtering of the image, tuned to
seeing FWHMs between 1.5 and 5 pixels.
Useful in very crowded star fields,
or in the vicinity of a nebula.
WARNING: may need a high THRESHOLD!!
- block_3x3.conv a small "block" function (for rebinned
images like those of the DeNIS survey).
All these convolution files are normalized by default.
CONV NORM
# 3x3 convolution mask of a block-function PSF (ex: DeNIS PSF).
1 1 1
1 1 1
1 1 1
CONV NORM
# 3x3 ``all-ground'' convolution mask with FWHM = 2 pixels.
1 2 1
2 4 2
1 2 1
NNW
# Neural Network Weights for the SExtractor star/galaxy classifier (V1.3)
# inputs: 9 for profile parameters + 1 for seeing.
# outputs: ``Stellarity index'' (0.0 to 1.0)
# Seeing FWHM range: from 0.025 to 5.5'' (images must have 1.5 < FWHM < 5 pixels)
# Optimized for Moffat profiles with 2<= beta <= 4.
3 10 10 1
-1.56604e+00 -2.48265e+00 -1.44564e+00 -1.24675e+00 -9.44913e-01 -5.22453e-01 4.61342e-02 8.31957e-01 2.15505e+00 2.64769e-01
3.03477e+00 2.69561e+00 3.16188e+00 3.34497e+00 3.51885e+00 3.65570e+00 3.74856e+00 3.84541e+00 4.22811e+00 3.27734e+00
-3.22480e-01 -2.12804e+00 6.50750e-01 -1.11242e+00 -1.40683e+00 -1.55944e+00 -1.84558e+00 -1.18946e-01 5.52395e-01 -4.36564e-01 -5.30052e+00
4.62594e-01 -3.29127e+00 1.10950e+00 -6.01857e-01 1.29492e-01 1.42290e+00 2.90741e+00 2.44058e+00 -9.19118e-01 8.42851e-01 -4.69824e+00
-2.57424e+00 8.96469e-01 8.34775e-01 2.18845e+00 2.46526e+00 8.60878e-02 -6.88080e-01 -1.33623e-02 9.30403e-02 1.64942e+00 -1.01231e+00
4.81041e+00 1.53747e+00 -1.12216e+00 -3.16008e+00 -1.67404e+00 -1.75767e+00 -1.29310e+00 5.59549e-01 8.08468e-01 -1.01592e-02 -7.54052e+00
1.01933e+01 -2.09484e+01 -1.07426e+00 9.87912e-01 6.05210e-01 -6.04535e-02 -5.87826e-01 -7.94117e-01 -4.89190e-01 -8.12710e-02 -2.07067e+01
-5.31793e+00 7.94240e+00 -4.64165e+00 -4.37436e+00 -1.55417e+00 7.54368e-01 1.09608e+00 1.45967e+00 1.62946e+00 -1.01301e+00 1.13514e-01
2.20336e-01 1.70056e+00 -5.20105e-01 -4.28330e-01 1.57258e-03 -3.36502e-01 -8.18568e-02 -7.16163e+00 8.23195e+00 -1.71561e-02 -1.13749e+01
3.75075e+00 7.25399e+00 -1.75325e+00 -2.68814e+00 -3.71128e+00 -4.62933e+00 -2.13747e+00 -1.89186e-01 1.29122e+00 -7.49380e-01 6.71712e-01
-8.41923e-01 4.64997e+00 5.65808e-01 -3.08277e-01 -1.01687e+00 1.73127e-01 -8.92130e-01 1.89044e+00 -2.75543e-01 -7.72828e-01 5.36745e-01
-3.65598e+00 7.56997e+00 -3.76373e+00 -1.74542e+00 -1.37540e-01 -5.55400e-01 -1.59195e-01 1.27910e-01 1.91906e+00 1.42119e+00 -4.35502e+00
-1.70059e+00 -3.65695e+00 1.22367e+00 -5.74367e-01 -3.29571e+00 2.46316e+00 5.22353e+00 2.42038e+00 1.22919e+00 -9.22250e-01 -2.32028e+00
0.00000e+00
1.00000e+00
NUMBER
#FLUX_ISO
FLUXERR_ISO
#MAG_ISO
#MAGERR_ISO
#FLUX_ISOCOR
#FLUXERR_ISOCOR
#MAG_ISOCOR
#MAGERR_ISOCOR
#FLUX_APER(1)
#FLUXERR_APER(1)
#MAG_APER(1)
#MAGERR_APER(1)
FLUX_AUTO
FLUXERR_AUTO
#MAG_AUTO
#MAGERR_AUTO
#FLUX_BEST
#FLUXERR_BEST
#MAG_BEST
#MAGERR_BEST
#KRON_RADIUS
#BACKGROUND
#THRESHOLD
#MU_THRESHOLD
#FLUX_MAX
#MU_MAX
#ISOAREA_IMAGE
#ISOAREA_WORLD
#XMIN_IMAGE
#YMIN_IMAGE
#XMAX_IMAGE
#YMAX_IMAGE
X_IMAGE
Y_IMAGE
#X_WORLD
#Y_WORLD
#ALPHA_SKY
#DELTA_SKY
#ALPHA_J2000
#DELTA_J2000
#ALPHA_B1950
#DELTA_B1950
#X2_IMAGE
#Y2_IMAGE
#XY_IMAGE
#X2_WORLD
#Y2_WORLD
#XY_WORLD
#CXX_IMAGE
#CYY_IMAGE
#CXY_IMAGE
#CXX_WORLD
#CYY_WORLD
#CXY_WORLD
#A_IMAGE
#B_IMAGE
#A_WORLD
#B_WORLD
#THETA_IMAGE
#THETA_WORLD
#THETA_SKY
#THETA_J2000
#THETA_B1950
#ELONGATION
#ELLIPTICITY
#ERRX2_IMAGE
#ERRY2_IMAGE
#ERRXY_IMAGE
#ERRX2_WORLD
#ERRY2_WORLD
#ERRXY_WORLD
#ERRCXX_IMAGE
#ERRCYY_IMAGE
#ERRCXY_IMAGE
#ERRCXX_WORLD
#ERRCYY_WORLD
#ERRCXY_WORLD
#ERRA_IMAGE
#ERRB_IMAGE
#ERRA_WORLD
#ERRB_WORLD
#ERRTHETA_IMAGE
#ERRTHETA_WORLD
#ERRTHETA_SKY
#ERRTHETA_J2000
#ERRTHETA_B1950
#FWHM_IMAGE
#FWHM_WORLD
#ISO0
#ISO1
#ISO2
#ISO3
#ISO4
#ISO5
#ISO6
#ISO7
FLAGS
#IMAFLAGS_ISO(1)
#NIMAFLAGS_ISO(1)
#CLASS_STAR
#VIGNET(5,5)
# Default configuration file for SExtractor 2.5.0
# EB 2006-07-14
#
#-------------------------------- Catalog ------------------------------------
CATALOG_NAME test.cat # name of the output catalog
CATALOG_TYPE ASCII_HEAD # NONE,ASCII,ASCII_HEAD, ASCII_SKYCAT,
# ASCII_VOTABLE, FITS_1.0 or FITS_LDAC
PARAMETERS_NAME default.param # name of the file containing catalog contents
#------------------------------- Extraction ----------------------------------
DETECT_TYPE CCD # CCD (linear) or PHOTO (with gamma correction)
DETECT_MINAREA 5 # minimum number of pixels above threshold
DETECT_THRESH 1.5 # <sigmas> or <threshold>,<ZP> in mag.arcsec-2
ANALYSIS_THRESH 1.5 # <sigmas> or <threshold>,<ZP> in mag.arcsec-2
FILTER Y # apply filter for detection (Y or N)?
FILTER_NAME default.conv # name of the file containing the filter
DEBLEND_NTHRESH 32 # Number of deblending sub-thresholds
DEBLEND_MINCONT 0.005 # Minimum contrast parameter for deblending
CLEAN Y # Clean spurious detections? (Y or N)?
CLEAN_PARAM 1.0 # Cleaning efficiency
MASK_TYPE CORRECT # type of detection MASKing: can be one of
# NONE, BLANK or CORRECT
#------------------------------ Photometry -----------------------------------
PHOT_APERTURES 5 # MAG_APER aperture diameter(s) in pixels
PHOT_AUTOPARAMS 2.5, 3.5 # MAG_AUTO parameters: <Kron_fact>,<min_radius>
PHOT_PETROPARAMS 2.0, 3.5 # MAG_PETRO parameters: <Petrosian_fact>,
# <min_radius>
SATUR_LEVEL 50000.0 # level (in ADUs) at which arises saturation
MAG_ZEROPOINT 0.0 # magnitude zero-point
MAG_GAMMA 4.0 # gamma of emulsion (for photographic scans)
GAIN 0.0 # detector gain in e-/ADU
PIXEL_SCALE 1.0 # size of pixel in arcsec (0=use FITS WCS info)
#------------------------- Star/Galaxy Separation ----------------------------
SEEING_FWHM 1.2 # stellar FWHM in arcsec
STARNNW_NAME default.nnw # Neural-Network_Weight table filename
#------------------------------ Background -----------------------------------
BACK_SIZE 64 # Background mesh: <size> or <width>,<height>
BACK_FILTERSIZE 3 # Background filter: <size> or <width>,<height>
BACKPHOTO_TYPE GLOBAL # can be GLOBAL or LOCAL
#------------------------------ Check Image ----------------------------------
CHECKIMAGE_TYPE NONE # can be NONE, BACKGROUND, BACKGROUND_RMS,
# MINIBACKGROUND, MINIBACK_RMS, -BACKGROUND,
# FILTERED, OBJECTS, -OBJECTS, SEGMENTATION,
# or APERTURES
CHECKIMAGE_NAME check.fits # Filename for the check-image
#--------------------- Memory (change with caution!) -------------------------
MEMORY_OBJSTACK 3000 # number of objects in stack
MEMORY_PIXSTACK 300000 # number of pixels in stack
MEMORY_BUFSIZE 1024 # number of lines in buffer
#----------------------------- Miscellaneous ---------------------------------
VERBOSE_TYPE NORMAL # can be QUIET, NORMAL or FULL
WRITE_XML N # Write XML file (Y/N)?
XML_NAME sex.xml # Filename for XML output
CONV NORM
# 3x3 convolution mask of a gaussian PSF with FWHM = 1.5 pixels.
0.109853 0.300700 0.109853
0.300700 0.823102 0.300700
0.109853 0.300700 0.109853
CONV NORM
# 3x3 convolution mask of a gaussian PSF with FWHM = 2.0 pixels.
0.260856 0.483068 0.260856
0.483068 0.894573 0.483068
0.260856 0.483068 0.260856
CONV NORM
# 5x5 convolution mask of a gaussian PSF with FWHM = 2.0 pixels.
0.006319 0.040599 0.075183 0.040599 0.006319
0.040599 0.260856 0.483068 0.260856 0.040599
0.075183 0.483068 0.894573 0.483068 0.075183
0.040599 0.260856 0.483068 0.260856 0.040599
0.006319 0.040599 0.075183 0.040599 0.006319
CONV NORM
# 5x5 convolution mask of a gaussian PSF with FWHM = 2.5 pixels.
0.034673 0.119131 0.179633 0.119131 0.034673
0.119131 0.409323 0.617200 0.409323 0.119131
0.179633 0.617200 0.930649 0.617200 0.179633
0.119131 0.409323 0.617200 0.409323 0.119131
0.034673 0.119131 0.179633 0.119131 0.034673
CONV NORM
# 5x5 convolution mask of a gaussian PSF with FWHM = 3.0 pixels.
0.092163 0.221178 0.296069 0.221178 0.092163
0.221178 0.530797 0.710525 0.530797 0.221178
0.296069 0.710525 0.951108 0.710525 0.296069
0.221178 0.530797 0.710525 0.530797 0.221178
0.092163 0.221178 0.296069 0.221178 0.092163
CONV NORM
# 7x7 convolution mask of a gaussian PSF with FWHM = 3.0 pixels.
0.004963 0.021388 0.051328 0.068707 0.051328 0.021388 0.004963
0.021388 0.092163 0.221178 0.296069 0.221178 0.092163 0.021388
0.051328 0.221178 0.530797 0.710525 0.530797 0.221178 0.051328
0.068707 0.296069 0.710525 0.951108 0.710525 0.296069 0.068707
0.051328 0.221178 0.530797 0.710525 0.530797 0.221178 0.051328
0.021388 0.092163 0.221178 0.296069 0.221178 0.092163 0.021388
0.004963 0.021388 0.051328 0.068707 0.051328 0.021388 0.004963
CONV NORM
# 7x7 convolution mask of a gaussian PSF with FWHM = 4.0 pixels.
0.047454 0.109799 0.181612 0.214776 0.181612 0.109799 0.047454
0.109799 0.254053 0.420215 0.496950 0.420215 0.254053 0.109799
0.181612 0.420215 0.695055 0.821978 0.695055 0.420215 0.181612
0.214776 0.496950 0.821978 0.972079 0.821978 0.496950 0.214776
0.181612 0.420215 0.695055 0.821978 0.695055 0.420215 0.181612
0.109799 0.254053 0.420215 0.496950 0.420215 0.254053 0.109799
0.047454 0.109799 0.181612 0.214776 0.181612 0.109799 0.047454
CONV NORM
# 9x9 convolution mask of a gaussian PSF with FWHM = 5.0 pixels.
0.030531 0.065238 0.112208 0.155356 0.173152 0.155356 0.112208 0.065238 0.030531
0.065238 0.139399 0.239763 0.331961 0.369987 0.331961 0.239763 0.139399 0.065238
0.112208 0.239763 0.412386 0.570963 0.636368 0.570963 0.412386 0.239763 0.112208
0.155356 0.331961 0.570963 0.790520 0.881075 0.790520 0.570963 0.331961 0.155356
0.173152 0.369987 0.636368 0.881075 0.982004 0.881075 0.636368 0.369987 0.173152
0.155356 0.331961 0.570963 0.790520 0.881075 0.790520 0.570963 0.331961 0.155356
0.112208 0.239763 0.412386 0.570963 0.636368 0.570963 0.412386 0.239763 0.112208
0.065238 0.139399 0.239763 0.331961 0.369987 0.331961 0.239763 0.139399 0.065238
0.030531 0.065238 0.112208 0.155356 0.173152 0.155356 0.112208 0.065238 0.030531
CONV NORM
# 5x5 convolution mask of a mexican-hat for images with FWHM~1.5 pixels.
-0.000109 -0.002374 -0.006302 -0.002374 -0.000109
-0.002374 -0.032222 -0.025569 -0.032222 -0.002374
-0.006302 -0.025569 0.276021 -0.025569 -0.006302
-0.002374 -0.032222 -0.025569 -0.032222 -0.002374
-0.000109 -0.002374 -0.006302 -0.002374 -0.000109
CONV NORM
# 7x7 convolution mask of a mexican-hat for images with FWHM~2.0 pixels.
-0.000006 -0.000132 -0.000849 -0.001569 -0.000849 -0.000132 -0.000006
-0.000132 -0.002989 -0.017229 -0.028788 -0.017229 -0.002989 -0.000132
-0.000849 -0.017229 -0.042689 0.023455 -0.042689 -0.017229 -0.000849
-0.001569 -0.028788 0.023455 0.356183 0.023455 -0.028788 -0.001569
-0.000849 -0.017229 -0.042689 0.023455 -0.042689 -0.017229 -0.000849
-0.000132 -0.002989 -0.017229 -0.028788 -0.017229 -0.002989 -0.000132
-0.000006 -0.000132 -0.000849 -0.001569 -0.000849 -0.000132 -0.000006
CONV NORM
# 7x7 convolution mask of a mexican-hat for images with FWHM~2.5 pixels.
-0.000284 -0.002194 -0.007273 -0.010722 -0.007273 -0.002194 -0.000284
-0.002194 -0.015640 -0.041259 -0.050277 -0.041259 -0.015640 -0.002194
-0.007273 -0.041259 -0.016356 0.095837 -0.016356 -0.041259 -0.007273
-0.010722 -0.050277 0.095837 0.402756 0.095837 -0.050277 -0.010722
-0.007273 -0.041259 -0.016356 0.095837 -0.016356 -0.041259 -0.007273
-0.002194 -0.015640 -0.041259 -0.050277 -0.041259 -0.015640 -0.002194
-0.000284 -0.002194 -0.007273 -0.010722 -0.007273 -0.002194 -0.000284
CONV NORM
# 9x9 convolution mask of a mexican-hat for images with FWHM~3.0 pixels.
-0.000041 -0.000316 -0.001357 -0.003226 -0.004294 -0.003226 -0.001357 -0.000316 -0.000041
-0.000316 -0.002428 -0.010013 -0.022204 -0.028374 -0.022204 -0.010013 -0.002428 -0.000316
-0.001357 -0.010013 -0.035450 -0.054426 -0.050313 -0.054426 -0.035450 -0.010013 -0.001357
-0.003226 -0.022204 -0.054426 0.033057 0.164532 0.033057 -0.054426 -0.022204 -0.003226
-0.004294 -0.028374 -0.050313 0.164532 0.429860 0.164532 -0.050313 -0.028374 -0.004294
-0.003226 -0.022204 -0.054426 0.033057 0.164532 0.033057 -0.054426 -0.022204 -0.003226
-0.001357 -0.010013 -0.035450 -0.054426 -0.050313 -0.054426 -0.035450 -0.010013 -0.001357
-0.000316 -0.002428 -0.010013 -0.022204 -0.028374 -0.022204 -0.010013 -0.002428 -0.000316
-0.000041 -0.000316 -0.001357 -0.003226 -0.004294 -0.003226 -0.001357 -0.000316 -0.000041
CONV NORM
# 9x9 convolution mask of a mexican-hat for images with FWHM~4.0 pixels.
-0.002250 -0.007092 -0.015640 -0.024467 -0.028187 -0.024467 -0.015640 -0.007092 -0.002250
-0.007092 -0.021141 -0.041403 -0.054742 -0.057388 -0.054742 -0.041403 -0.021141 -0.007092
-0.015640 -0.041403 -0.057494 -0.024939 0.008058 -0.024939 -0.057494 -0.041403 -0.015640
-0.024467 -0.054742 -0.024939 0.145167 0.271470 0.145167 -0.024939 -0.054742 -0.024467
-0.028187 -0.057388 0.008058 0.271470 0.459236 0.271470 0.008058 -0.057388 -0.028187
-0.024467 -0.054742 -0.024939 0.145167 0.271470 0.145167 -0.024939 -0.054742 -0.024467
-0.015640 -0.041403 -0.057494 -0.024939 0.008058 -0.024939 -0.057494 -0.041403 -0.015640
-0.007092 -0.021141 -0.041403 -0.054742 -0.057388 -0.054742 -0.041403 -0.021141 -0.007092
-0.002250 -0.007092 -0.015640 -0.024467 -0.028187 -0.024467 -0.015640 -0.007092 -0.002250
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