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Added maxOS Intel-specific reference files for do_multimfit_tests.sh
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tests/multimfit_reference/macos_x86_64/multimfit_textout1b
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| configuration file = tests/multimfit_reference/config_imfit_smalldataimages.dat | ||
| Image-description params from image-info file "tests/multimfit_reference/imageinfo_multimfit0.txt": 1.0 0.0 1.0 2.0 2.0 | ||
| Reading data image ("tests/multimfit_reference/smallDataImage1a.fits") ... | ||
| naxis1 [# pixels/row] = 2, naxis2 [# pixels/col] = 2; nPixels_tot = 4 | ||
| * No noise image supplied ... will generate noise image from input data image. | ||
| Function: FlatSky | ||
| Reading data image ("tests/multimfit_reference/smallDataImage1b.fits") ... | ||
| naxis1 [# pixels/row] = 2, naxis2 [# pixels/col] = 2; nPixels_tot = 4 | ||
| * No noise image supplied ... will generate noise image from input data image. | ||
| Function: FlatSky | ||
| main: theMultImageModel has 2 data images (ModelObject instances) | ||
| ModelObjectMultImage: 8 total data values | ||
| ModelObject 1: Model Object: 4 data values (pixels) | ||
| ModelObject 2: Model Object: 4 data values (pixels) | ||
| Function: FlatSky | ||
| (global) parameterList: 1.00 1.00 1.00 | ||
| 8 total parameters in ModelObjectMultImage | ||
| ModelObjectMultImage: 8 total data values | ||
| ModelObject 1: Model Object: 4 data values (pixels) | ||
| ModelObject 2: Model Object: 4 data values (pixels) | ||
| ModelObject: mask vector applied to weight vector. (4 valid pixels remain) | ||
| ModelObject: mask vector applied to weight vector. (4 valid pixels remain) | ||
| Setting up parameter information vector ... | ||
| 3 free parameters (5 degrees of freedom) | ||
| Estimated memory use: 640 bytes (0.6 KB) | ||
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| Performing fit by minimizing chi^2: | ||
| Calling Levenberg-Marquardt solver ... | ||
| mpfit iteration 1: fit statistic = 1.985294 | ||
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| *** mpfit status = 1 -- SUCCESS: Convergence in fit-statistic value. | ||
| CHI-SQUARE = 1.985294 (5 DOF) | ||
| INITIAL CHI^2 = 6.750000 | ||
| NPAR = 8 | ||
| NFREE = 3 | ||
| NPEGGED = 0 | ||
| NITER = 2 | ||
| NFEV = 9 | ||
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| Reduced Chi^2 = 0.397059 | ||
| AIC = 13.985294, BIC = 8.223619 | ||
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| # Main model parameters (for reference image = image 1 (tests/multimfit_reference/smallDataImage1a.fits)) | ||
| X0 1.0000 # +/- 0.0000 | ||
| Y0 1.0000 # +/- 0.0000 | ||
| FUNCTION FlatSky | ||
| I_sky 0.470588 # +/- 0.24254 counts/pixel | ||
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| # Image-description parameters for image 2 (tests/multimfit_reference/smallDataImage1b.fits) | ||
| PIXEL_SCALE 1 # +/- 0 | ||
| ROTATION 0 # +/- 0 | ||
| FLUX_SCALE 1 # +/- 0 | ||
| X0 2 # +/- 0 | ||
| Y0 2 # +/- 0 | ||
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| Saving summary of fit in bestfit_parameters_multimfit_summary.dat... | ||
| Saving single-image best-fit parameter files (root name = "bestfit_parameters_multimfit"): | ||
| Saving bestfit_parameters_multimfit_refimage.dat (for reference image)... | ||
| Saving bestfit_parameters_multimfit_image2.dat... | ||
| Saving best-fit image-info file "bestfit_parameters_multimfit_imageinfo.dat"... | ||
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| (Elapsed time: 0.002439 sec for fit, 0.004770 sec total) | ||
| Done! | ||
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tests/multimfit_reference/macos_x86_64/multimfit_textout3f
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| * Using Poisson maximum-likelihood-ratio statistic instead of chi^2 for minimization! | ||
| configuration file = tests/multimfit_reference/config_imfit_smallgauss.dat | ||
| Image-description params from image-info file "tests/multimfit_reference/imageinfo_multimfit3_noerror.txt": 1.0 0.0 1.0 2.0 2.0 | ||
| Reading data image ("tests/multimfit_reference/smallgauss_5x5_0.fits") ... | ||
| naxis1 [# pixels/row] = 5, naxis2 [# pixels/col] = 5; nPixels_tot = 25 | ||
| Function: Gaussian | ||
| Reading data image ("tests/multimfit_reference/smallgauss_5x5_1.fits") ... | ||
| naxis1 [# pixels/row] = 5, naxis2 [# pixels/col] = 5; nPixels_tot = 25 | ||
| Function: Gaussian | ||
| main: theMultImageModel has 2 data images (ModelObject instances) | ||
| ModelObjectMultImage: 50 total data values | ||
| ModelObject 1: Model Object: 25 data values (pixels) | ||
| ModelObject 2: Model Object: 25 data values (pixels) | ||
| Function: Gaussian | ||
| (global) parameterList: 2.00 2.00 0.00 0.10 900.00 1.50 | ||
| 11 total parameters in ModelObjectMultImage | ||
| ModelObjectMultImage: 50 total data values | ||
| ModelObject 1: Model Object: 25 data values (pixels) | ||
| ModelObject 2: Model Object: 25 data values (pixels) | ||
| ModelObject: mask vector applied to weight vector. (25 valid pixels remain) | ||
| ModelObject: mask vector applied to weight vector. (25 valid pixels remain) | ||
| Setting up parameter information vector ... | ||
| 8 free parameters (42 degrees of freedom) | ||
| Estimated memory use: 6400 bytes (6.2 KB) | ||
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| Performing fit by minimizing Poisson MLR statistic: | ||
| Calling Levenberg-Marquardt solver ... | ||
| mpfit iteration 1: fit statistic = 1901.411151 | ||
| mpfit iteration 2: fit statistic = 1584.362903 | ||
| mpfit iteration 3: fit statistic = 1532.430502 | ||
| mpfit iteration 4: fit statistic = 1513.149986 | ||
| mpfit iteration 5: fit statistic = 1506.845544 | ||
| mpfit iteration 6: fit statistic = 1494.343953 | ||
| mpfit iteration 7: fit statistic = 1469.583601 | ||
| mpfit iteration 8: fit statistic = 1421.045750 | ||
| mpfit iteration 9: fit statistic = 1326.072522 | ||
| mpfit iteration 10: fit statistic = 1145.170035 | ||
| mpfit iteration 11: fit statistic = 802.455813 | ||
| mpfit iteration 12: fit statistic = 309.014601 | ||
| mpfit iteration 13: fit statistic = 153.226167 | ||
| mpfit iteration 14: fit statistic = 95.624468 | ||
| mpfit iteration 15: fit statistic = 40.036770 | ||
| mpfit iteration 16: fit statistic = 36.307797 | ||
| mpfit iteration 17: fit statistic = 36.293184 | ||
| mpfit iteration 18: fit statistic = 36.293171 | ||
| mpfit iteration 19: fit statistic = 36.293171 | ||
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| *** mpfit status = 1 -- SUCCESS: Convergence in fit-statistic value. | ||
| POISSON-MLR STATISTIC = 36.293171 (42 DOF) | ||
| INITIAL POISSON-MLR STATISTIC = 5805.518354 | ||
| NPAR = 11 | ||
| NFREE = 8 | ||
| NPEGGED = 0 | ||
| NITER = 20 | ||
| NFEV = 172 | ||
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| Reduced Chi^2 equivalent = 0.864123 | ||
| AIC = 55.805366, BIC = 67.589355 | ||
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| # Main model parameters (for reference image = image 1 (tests/multimfit_reference/smallgauss_5x5_0.fits)) | ||
| X0 2.5074 # +/- 0.0162 | ||
| Y0 2.5387 # +/- 0.0209 | ||
| FUNCTION Gaussian | ||
| PA 18.9275 # +/- 1.6147 deg (CCW from +y axis) | ||
| ell 0.293349 # +/- 0.014349 | ||
| I_0 995.157 # +/- 20.42 counts/pixel | ||
| sigma 0.992435 # +/- 0.014688 pixels | ||
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| # Image-description parameters for image 2 (tests/multimfit_reference/smallgauss_5x5_1.fits) | ||
| PIXEL_SCALE 1 # +/- 0 | ||
| ROTATION 0 # +/- 0 | ||
| FLUX_SCALE 1 # +/- 0 | ||
| X0 2.49087 # +/- 0.01617 | ||
| Y0 2.47574 # +/- 0.021056 | ||
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| Saving summary of fit in bestfit_parameters_multimfit_summary.dat... | ||
| Saving single-image best-fit parameter files (root name = "bestfit_parameters_multimfit"): | ||
| Saving bestfit_parameters_multimfit_refimage.dat (for reference image)... | ||
| Saving bestfit_parameters_multimfit_image2.dat... | ||
| Saving best-fit image-info file "bestfit_parameters_multimfit_imageinfo.dat"... | ||
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| (Elapsed time: 0.068822 sec for fit, 0.071215 sec total) | ||
| Done! | ||
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tests/multimfit_reference/macos_x86_64/multimfit_textout3g
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