New Progress on Bright Star Photometry
--- 1-D Profile Fitting
CX 9.20.00
This is a progress report on the recent development of bright star photometry task.I am continuing the 1-d profile fitting (see previous report dated 7.20.00) using a larger
sample (148 stars) provided by Raymond Tam.
I. Assumptions:
i) For a given camera (e.g. the J-band camera in northern observatory),
counts of 'good pixels' are proportional to
the brightness of the star in question.
ii) The CIO magnitudes are accurate.
iii) Stars are non-variables.
II. 'Bad pixels' (pixels exluded from 1-d fitting):
i) Counts < cut_l, where cut_l=min(5*rms, cut_b). rms is
determined using pixels in r > 30 (i.e. > 60").
For very bright
stars, the rms so determined may be affected by
the gradient and
therefore overestimated. Then cut_l=5 rms
will be replaced by
cut=cut_b, where
cut_b=100 DN for J band,
cut_b=80 DN for H band,
cut_b=40 DN for K band.
ii) Counts > 40000DN.
iii) when more than 80 percent of pixels in an annulus (width=1pix)
have
counts < cut_l, all the pixels in that
annulus are excluded.
iv) when more than 20 percent of pixels in an annulus have
counts > 40000DN, all the pixels are dropped.
v) when the star has CIO magnitude < 3, then the pixels
in the adjacent annulus next to the one where
more than 20
percent pixels have counts > 40000DN, will
also be dropped.
III. Grand 1-d psfs
1) Function form of the grand 1-d psf's:
f=f0*exp(-(r/r0)^2) + f1*exp(-(r/r1)^p)
+ f2/(1+(r/r2)^2)^q
Parameters (8): f0, f1, f2, r0, r1, r2, p, q.
2) Procedure:
i) Stars are binned according to (a)
sphere ('n' or 's') and (b) see_shape (S_sh).
ii) In the first step, 'good pixels' of all
stars in a given bin are included
in the
grand-1d psf. The counts are normalized as following:
cnt_1=cnt*10^(-0.4*(m_cio-m_0))
where
m_0 = 6, 5.5, 5 for J, H, Ks band, respectively.
iii) For each camera and each S_sh bin, a grand
1-d psf is constructed
using
the 'good pixels' of the stars, and an analytical 'best fit' function
of the
form given above (8 parameters) is determined.
iv) This grand 1-d psf is then applyed to
the 'good pixels' (uniform weighting)
of the stars,and an estimate of magnitude is obtained (m_2mass).
v) The deviation between the magnitude
and the CIO magnitude is
calculated (e.g. dj = J_2mass - J_cio).
vi) Stars with magnitude deviation >
0.5 mag are deem outliers.
vii) Dispersion of magnitude deviation is
calculated, with the outliers
exceluded.
xi) 1-d grand psf is then reconstructed
with outliers dropped.
3) Results:
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IV. Results from 1-d fitting
1) Dispersions. Bin boundaries and number of sources
included in each bin are the same as
in the 1-d grand psf process (previous
table). Outliers are excluded.
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2) Systematic uncertainties:
i) Errors of CIO magnitudes (~0.1 -- 0.2 mag).
ii) Variablity of stars (main reason for the outliers).
iii) Binary stars (affecting the profiles).
3) Individaul stars:
| scan | Jcio| Hcio| Kcio| jzero| hzero| kzero| jssh | hssh| kssh| J2m | H2m | K2m | dj | dh | dk | | | | | | | | | | | | | | | | | | 000131s_020 -3.00 -3.50 -3.90 -0.1536 -0.0176 0.0050 0.942 0.926 0.959 -3.06 -4.22 -4.44 -0.06 -0.72 -0.54 000201s_025 1.50 1.60 1.50 -0.1394 -0.0162 0.0065 0.953 0.932 0.967 1.46 1.42 1.54 -0.04 -0.18 0.04 000203s_015 3.20 2.80 2.70 -0.0712 0.0110 0.0271 1.086 1.051 1.059 2.99 2.75 2.51 -0.21 -0.05 -0.19 970527n_054 0.40 -0.40 -0.80 -0.1154 -0.0648 -0.0458 1.124 1.097 1.112 0.72 -0.17 -0.70 0.32 0.23 0.10 970617n_103 0.90 -0.20 -0.50 -0.0873 -0.0594 -0.0121 1.065 1.035 1.051 1.09 0.00 -0.45 0.19 0.20 0.05 970622n_105 0.10 -0.80 -1.00 -0.0474 -0.0465 0.0014 1.120 1.084 1.095 0.41 -0.61 -1.01 0.31 0.19 -0.01 970913n_040 2.90 1.90 1.20 -0.2712 -0.1094 -0.0913 0.966 0.951 0.991 2.61 1.12 0.81 -0.29 -0.78 -0.39 971009n_022 3.00 2.00 1.70 -0.0380 -0.0350 -0.0145 1.034 1.014 1.024 2.92 1.46 1.49 -0.08 -0.54 -0.21 971009n_105 4.90 4.80 4.70 -0.0748 -0.0350 -0.0145 0.993 0.970 0.962 5.21 4.76 5.15 0.31 -0.04 0.45 971009n_128 3.90 2.90 2.60 -0.0836 -0.0350 -0.0145 1.026 0.999 0.995 4.04 2.62 2.39 0.14 -0.28 -0.21 971009n_129 -1.90 99.90 99.90 -0.0842 -0.0350 -0.0145 1.020 0.991 0.986 -2.03 99.90 99.90 -0.13 99.90 99.90 971018n_067 4.50 3.70 3.20 0.0226 0.0063 0.0202 1.042 1.022 1.049 4.70 3.61 3.21 0.20 -0.09 0.01 971018n_121 2.10 1.20 0.70 0.0226 0.0063 0.0202 1.016 0.997 1.025 2.00 0.84 0.49 -0.10 -0.36 -0.21 971019n_072 0.10 -0.50 -0.60 -0.0310 -0.0165 0.0039 0.981 0.969 0.989 -0.17 -0.68 -0.94 -0.27 -0.18 -0.34 971029n_116 4.20 3.40 2.90 -0.0685 -0.0187 -0.0049 0.982 0.959 0.962 3.87 2.60 2.46 -0.33 -0.80 -0.44 971115n_119 -0.30 -1.20 -1.40 0.0683 0.0304 0.0149 1.120 1.064 1.031 -0.38 -1.40 -1.85 -0.08 -0.20 -0.45 971116n_027 -1.20 -2.00 -2.20 0.1192 0.0282 0.0222 1.009 0.970 0.964 -1.21 -2.11 -2.57 -0.01 -0.11 -0.37 971123n_069 -0.80 -1.60 -1.90 -0.0873 -0.0245 -0.0078 1.020 0.990 0.999 -0.91 -1.74 -2.17 -0.11 -0.14 -0.27 971125n_083 4.40 3.40 3.10 -0.0726 -0.0199 -0.0046 1.015 0.986 0.996 4.47 3.06 2.93 0.07 -0.34 -0.17 971201n_013 4.30 3.40 3.10 0.0250 0.0071 0.0226 1.012 0.991 0.975 4.85 3.52 3.04 0.55 0.12 -0.06 971205n_090 4.60 3.70 3.20 0.1122 0.0165 0.0319 1.006 0.980 0.959 4.92 3.52 3.00 0.32 -0.18 -0.20 971205n_108 4.30 3.80 3.50 0.1226 0.0165 0.0319 1.027 0.995 0.983 4.04 2.80 2.49 -0.26 -1.00 -1.01 980107n_028 0.30 -0.60 -0.90 0.1165 0.0112 0.0076 1.234 1.177 1.135 0.16 -0.84 -1.37 -0.14 -0.24 -0.47 980125n_078 4.70 3.80 3.30 0.0406 0.0011 0.0203 1.015 0.983 0.964 4.87 3.71 3.22 0.17 -0.09 -0.08 980126n_093 4.80 4.50 4.50 0.0586 -0.0094 0.0138 1.025 0.994 0.990 5.15 4.52 4.55 0.35 0.02 0.05 980126n_098 0.00 -0.60 -0.70 0.0620 -0.0094 0.0138 1.008 0.977 0.970 -0.15 -0.71 99.90 -0.15 -0.11 99.90 980127n_049 -0.30 -1.00 -1.10 0.0817 -0.0276 -0.0097 1.093 1.058 1.077 -0.49 -1.04 -1.30 -0.19 -0.04 -0.20 980130n_036 0.20 -0.60 -0.70 0.0205 0.0022 0.0327 1.155 1.115 1.095 0.17 99.90 99.90 -0.03 99.90 99.90 980202n_026 3.90 2.80 2.10 0.0243 0.0032 0.0375 1.094 1.062 1.050 3.80 2.62 2.02 -0.10 -0.18 -0.08 980324n_008 -0.40 -1.30 -0.80 0.0416 0.0142 0.0350 1.061 1.050 1.092 -0.33 -1.46 -1.96 0.07 -0.16 -1.16 980324n_025 0.30 -0.50 -0.70 0.0457 0.0142 0.0350 1.079 1.061 1.096 0.41 -0.40 -0.76 0.11 0.10 -0.06 980331s_011 4.60 3.10 2.10 -0.0810 -0.0271 -0.0224 0.961 0.975 0.998 4.90 3.29 2.18 0.30 0.19 0.08 980331s_050 4.40 3.40 3.00 -0.0847 -0.0271 -0.0224 0.976 0.956 0.988 4.10 3.39 2.95 -0.30 -0.01 -0.05 980402s_065 0.80 -0.30 -0.70 -0.0551 -0.0303 -0.0185 0.975 0.945 0.986 0.74 -0.26 -0.57 -0.06 0.04 0.13 980404s_023 4.50 3.60 3.10 -0.0259 -0.0241 -0.0137 0.959 0.937 0.968 4.25 3.57 3.08 -0.25 -0.03 -0.02 980405n_024 0.10 -0.70 -0.90 -0.0145 -0.0226 0.0052 1.024 1.002 0.992 -0.06 -0.80 -1.14 -0.16 -0.10 -0.24 980414n_116 4.60 4.10 3.90 0.0504 -0.0229 0.0079 1.073 1.044 1.021 4.12 3.64 3.90 -0.48 -0.46 0.00 980418s_084 4.90 4.80 4.70 -0.0393 -0.0286 -0.0254 0.977 0.928 0.974 4.72 4.94 5.07 -0.18 0.14 0.37 980418s_095 4.70 3.50 2.70 -0.0396 -0.0286 -0.0254 0.961 0.917 0.965 5.81 4.68 3.53 1.11 1.18 0.83 980423s_079 4.90 3.70 3.30 -0.0331 -0.0331 -0.0266 1.093 1.037 1.065 4.62 3.65 3.10 -0.28 -0.05 -0.20 980428s_107 4.70 3.60 2.60 0.0816 0.0279 0.0309 1.014 0.969 1.003 4.43 3.42 2.72 -0.27 -0.18 0.12 980504s_085 -1.10 -1.90 -2.40 0.0177 0.0248 0.0232 0.947 0.920 0.962 -1.12 -2.15 -2.38 -0.02 -0.25 0.02 980509n_093 -0.40 -1.60 -1.90 0.0213 -0.0053 0.0198 1.036 1.006 0.994 0.21 -0.95 -1.74 0.61 0.65 0.16 980511n_106 4.80 4.20 4.00 0.0475 0.0019 0.0311 1.034 1.013 1.020 4.82 3.95 3.68 0.02 -0.25 -0.32 980511n_110 4.50 4.10 4.10 0.0506 0.0019 0.0311 1.039 1.021 1.027 4.30 3.97 3.98 -0.20 -0.13 -0.12 980515n_064 -2.20 99.90 -2.00 0.0478 0.0168 0.0305 1.026 1.004 1.003 5.58 99.90 5.66 7.78 99.90 7.66 980516s_045 4.00 2.90 2.50 0.1290 0.0376 0.0235 1.056 1.017 1.033 3.72 2.93 2.31 -0.28 0.03 -0.19 980524n_036 0.80 -0.10 -0.40 -0.0232 -0.0098 0.0215 0.998 0.994 1.014 0.59 -0.14 -0.53 -0.21 -0.04 -0.13 980602s_067 -1.60 -2.60 -3.10 0.0421 0.0265 0.0253 0.958 0.932 0.968 -1.51 -2.67 -3.03 0.09 -0.07 0.07 980607s_008 0.80 -0.10 -0.30 0.0498 0.0218 0.0352 0.935 0.926 0.959 0.82 -0.02 -0.12 0.02 0.08 0.18 980613n_014 99.90 99.90 -1.40 0.0153 0.0340 0.0547 1.010 1.032 1.078 99.90 99.90 -1.22 99.90 99.90 0.18 980614s_071 4.10 3.60 3.30 0.0700 0.0227 0.0271 0.977 0.961 0.994 3.90 3.70 3.32 -0.20 0.10 0.02 980615n_067 4.30 3.50 3.10 0.0871 0.0453 0.0642 1.028 1.044 1.079 4.97 3.52 3.39 0.67 0.02 0.29 980620n_041 -0.90 -1.80 -2.10 -0.0092 0.0308 0.0582 1.044 1.055 1.121 -0.61 -1.58 -1.88 0.29 0.22 0.22 980620n_095 4.40 3.40 3.00 0.0069 0.0308 0.0582 1.059 1.068 1.126 4.41 3.03 2.71 0.01 -0.37 -0.29 980621n_094 4.10 3.70 3.50 0.0717 0.0428 0.0698 1.045 1.059 1.108 4.12 3.65 3.69 0.02 -0.05 0.19 980624s_107 0.80 -0.20 -0.50 0.0816 0.0229 0.0277 1.007 0.966 1.000 0.86 -0.14 -0.66 0.06 0.06 -0.16 980625n_056 4.00 2.90 2.20 -0.0905 0.0114 0.0494 1.005 1.022 1.085 4.70 2.92 2.36 0.70 0.02 0.16 980626n_064 4.80 4.20 4.20 -0.0158 0.0365 0.0705 1.017 1.040 1.101 5.00 4.35 5.05 0.20 0.15 0.85 980627s_027 -0.30 -1.20 -1.50 0.0132 0.0372 0.0308 0.938 0.913 0.950 -0.22 -0.98 -1.05 0.08 0.22 0.45 980701s_081 4.50 3.50 3.20 0.0749 0.0301 0.0326 0.960 0.926 0.965 4.19 3.61 3.18 -0.31 0.11 -0.02 980704s_049 3.40 2.30 1.90 0.0599 0.0213 0.0353 0.955 0.926 0.961 2.79 2.17 1.74 -0.61 -0.13 -0.16 980704s_152 4.10 3.30 2.90 0.1042 0.0213 0.0353 1.010 0.978 1.009 4.49 3.65 3.33 0.39 0.35 0.43 980709n_011 0.80 -0.20 -0.40 -0.1779 -0.0469 -0.0065 1.019 1.030 1.090 0.87 0.10 -0.33 0.07 0.30 0.07 980709s_056 -2.70 -3.70 -3.80 0.0928 0.0273 0.0250 0.971 0.947 0.977 -2.65 -3.78 -4.03 0.05 -0.08 -0.23 980711s_139 0.90 -0.10 -0.50 0.0546 0.0092 0.0193 0.976 0.938 0.975 0.70 -0.24 -0.50 -0.20 -0.14 0.00 980712s_112 99.90 99.90 -1.20 0.0614 0.0125 0.0160 0.995 0.952 0.993 99.90 99.90 -1.47 99.90 99.90 -0.27 980716s_055 4.80 3.70 3.20 -0.0072 0.0032 0.0077 1.011 0.978 1.012 5.31 4.02 3.90 0.51 0.32 0.70 980716s_064 2.90 1.90 1.40 -0.0065 0.0032 0.0077 0.998 0.973 1.007 2.80 1.68 1.74 -0.10 -0.22 0.34 980726s_105 0.40 -0.10 -0.20 0.1186 0.0226 0.0278 1.069 1.024 1.049 0.35 -0.19 -0.42 -0.05 -0.09 -0.22 980731s_029 4.70 3.90 3.50 -0.0603 -0.0175 -0.0132 1.015 0.982 1.007 4.87 3.97 3.62 0.17 0.07 0.12 980809s_093 4.00 3.10 2.80 0.0363 -0.0047 -0.0030 0.987 0.955 0.987 4.29 3.71 3.15 0.29 0.61 0.35 980811s_039 0.40 -0.50 -0.70 0.0553 0.0064 0.0067 0.966 0.932 0.968 0.37 -0.50 -0.66 -0.03 0.00 0.04 980811s_053 99.90 99.90 -1.40 0.0600 0.0064 0.0067 0.964 0.934 0.964 99.90 99.90 -1.33 99.90 99.90 0.07 980811s_090 99.90 99.90 -1.60 0.0716 0.0064 0.0067 0.997 0.962 0.992 99.90 99.90 -1.43 99.90 99.90 0.17 980812s_025 4.60 3.20 2.60 0.0619 0.0049 0.0042 0.957 0.951 0.974 4.84 3.71 2.82 0.24 0.51 0.22 980814s_014 2.60 1.40 0.90 0.0645 0.0009 0.0024 0.995 0.993 1.004 2.24 2.95 99.90 -0.36 1.55 99.90 980814s_035 3.20 2.40 2.00 0.0619 0.0009 0.0024 1.001 0.988 1.012 2.89 2.13 1.74 -0.31 -0.27 -0.26 980815s_009 4.90 4.30 4.10 0.0746 0.0066 0.0102 0.968 0.974 0.990 4.87 4.36 4.22 -0.03 0.06 0.12 980820s_133 4.60 3.60 3.20 0.0761 0.0052 -0.0024 1.015 0.973 1.008 4.38 3.47 3.11 -0.22 -0.13 -0.09 980913s_039 -1.90 -2.10 -2.20 0.0224 -0.0047 0.0089 0.965 0.950 0.985 -0.63 -1.53 99.90 1.27 0.57 99.90 980916s_043 4.90 3.80 3.40 0.0531 0.0079 0.0040 0.963 0.947 0.983 4.85 4.06 3.56 -0.05 0.26 0.16 981001n_112 0.20 -0.70 -1.00 0.0285 -0.0007 0.0321 1.025 1.003 0.969 0.31 -0.59 -0.95 0.11 0.11 0.05 981003n_045 4.40 4.00 3.90 -0.0323 -0.0028 0.0287 0.975 0.968 0.961 4.49 3.69 3.87 0.09 -0.31 -0.03 981007s_072 0.70 -0.20 -0.40 0.0681 0.0054 0.0043 0.928 0.917 0.952 0.60 -0.22 -0.29 -0.10 -0.02 0.11 981010s_070 0.90 -0.10 -0.30 0.1291 0.0142 0.0024 1.036 1.028 1.048 0.81 -0.10 -0.56 -0.09 0.00 -0.26 981014s_049 0.40 -0.40 -0.70 -0.0104 -0.0211 -0.0154 0.962 0.958 0.990 0.46 -0.38 -0.47 0.06 0.02 0.23 981019n_105 -0.90 -1.60 -1.90 0.0627 0.0177 0.0343 1.087 1.065 1.063 -0.60 -1.65 -1.96 0.30 -0.05 -0.06 981019n_114 4.60 3.40 4.00 0.0643 0.0177 0.0343 1.098 1.074 1.061 4.87 3.42 2.81 0.27 0.02 -1.19 981023s_086 0.80 -0.20 -0.40 -0.0221 -0.0256 -0.0184 1.046 1.028 1.046 0.72 -0.17 -0.67 -0.08 0.03 -0.27 981028n_063 0.00 -0.70 -0.80 0.0417 0.0486 0.0610 0.964 0.961 0.941 0.04 -0.62 -0.90 0.04 0.08 -0.10 981028s_055 0.60 -0.20 -0.40 0.0056 -0.0034 0.0039 0.934 0.914 0.948 0.69 -0.19 -0.31 0.09 0.01 0.09 981028s_122 99.90 -3.30 -3.80 0.0131 -0.0034 0.0039 0.918 0.919 0.954 99.90 -3.93 -4.28 99.90 -0.63 -0.48 981110s_115 -0.10 -1.00 -1.40 0.0414 0.0057 0.0166 0.929 0.934 0.966 -0.05 -0.97 -1.20 0.05 0.03 0.20 981121s_044 -0.10 -0.90 -1.20 0.0797 0.0078 0.0125 0.920 0.923 0.952 -0.06 -0.93 -1.00 0.04 -0.03 0.20 981121s_110 4.90 3.20 2.10 0.1035 0.0078 0.0125 0.933 0.935 0.963 99.90 4.89 3.42 99.90 1.69 1.32 981122s_017 -0.60 -1.70 -2.10 0.0879 -0.0023 0.0022 0.963 0.959 0.982 -0.61 -1.96 -2.36 -0.01 -0.26 -0.26 981123s_019 0.30 -0.70 -0.90 0.0786 0.0033 0.0056 0.973 0.992 1.012 0.32 -0.43 -0.86 0.02 0.27 0.04 981125n_049 -0.10 -0.70 -1.10 0.1033 0.0564 0.0567 0.967 0.963 0.965 0.27 -0.56 -0.98 0.37 0.14 0.12 981125n_112 4.50 3.60 2.40 0.1175 0.0564 0.0567 1.018 0.998 0.996 6.49 4.12 2.82 1.99 0.52 0.42 981126n_028 4.70 3.60 2.90 0.0813 0.0569 0.0587 1.183 1.153 1.140 5.18 3.76 2.80 0.48 0.16 -0.10 981127n_033 -0.10 99.90 -1.40 0.0643 0.0511 0.0526 1.061 1.055 1.062 0.17 99.90 99.90 0.27 99.90 99.90 981128s_014 99.90 -3.10 -3.20 -0.1063 -0.0452 -0.0317 0.943 0.950 0.970 99.90 -3.19 -3.40 99.90 -0.09 -0.20 981129s_057 0.70 -0.20 0.00 -0.0462 -0.0282 -0.0105 0.928 0.916 0.952 0.68 -0.11 -0.21 -0.02 0.09 -0.21 981201s_080 4.00 3.20 2.90 0.1525 0.0093 0.0150 0.968 0.938 0.970 3.32 2.87 2.43 -0.68 -0.33 -0.47 981204s_046 4.90 3.80 3.20 0.0229 0.0010 -0.0035 1.097 1.082 1.085 5.84 4.39 3.44 0.94 0.59 0.24 981209s_070 4.80 3.90 3.60 0.0277 -0.0120 -0.0040 0.953 0.954 0.976 4.82 4.17 3.92 0.02 0.27 0.32 990104s_062 4.60 3.30 1.60 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