drphilmarshall
commented
7 years ago Yes, thanks! @SimonKrughoff I don't see any "cmodel" parameters: woudl it be easy to turn that on in the DM Level 2 pipeline? Most of those measurements look like they can be mapped to schema items to me. Perhaps we shoudl try and make a correspondence and then run it past the appropriate DM expert (Robert L?)
On Fri, Dec 2, 2016 at 12:39 PM, James Chiang notifications@github.com wrote:
At the Dec 1 Twinkles meeting, I was asked to post the header of the coadd catalog results so that the shape measurement parameters could be assessed. I'm attaching the full header for
deepCoadd-results/merged/0/1,1/ref-0-1,1.fits
from the output repo of a recent Level 2 run: merged_deepCoadd_results_catalog_header.txt https://github.com/LSSTDESC/Twinkles/files/628168/merged_deepCoadd_results_catalog_header.txt
Here is the same header passed through grep TTYPE that the column names are easy to see:
TTYPE1 = 'flags ' / bits for all Flag fields; see also TFLAGn TTYPE2 = 'id ' / unique ID TTYPE3 = 'coord_ra' / position in ra/dec TTYPE4 = 'coord_dec' / position in ra/dec TTYPE5 = 'parent ' / unique ID of parent source TTYPE6 = 'deblend_nChild' / Number of children this object has (defaults to TTYPE7 = 'deblend_psfCenter_x' / If deblended-as-psf, the PSF centroid TTYPE8 = 'deblend_psfCenter_y' / If deblended-as-psf, the PSF centroid TTYPE9 = 'deblend_psfFlux' / If deblended-as-psf, the PSF flux TTYPE10 = 'base_GaussianCentroid_x' / centroid from Gaussian Centroid algorithm TTYPE11 = 'base_GaussianCentroid_y' / centroid from Gaussian Centroid algorithm TTYPE12 = 'base_NaiveCentroid_x' / centroid from Naive Centroid algorithm TTYPE13 = 'base_NaiveCentroid_y' / centroid from Naive Centroid algorithm TTYPE14 = 'base_SdssCentroid_x' / centroid from Sdss Centroid algorithm TTYPE15 = 'base_SdssCentroid_y' / centroid from Sdss Centroid algorithm TTYPE16 = 'base_SdssCentroid_xSigma' / 1-sigma uncertainty on x position TTYPE17 = 'base_SdssCentroid_ySigma' / 1-sigma uncertainty on y position TTYPE18 = 'base_InputCount_value' / Number of images contributing at center, not TTYPE19 = 'base_SdssShape_xx' / elliptical Gaussian adaptive moments TTYPE20 = 'base_SdssShape_yy' / elliptical Gaussian adaptive moments TTYPE21 = 'base_SdssShape_xy' / elliptical Gaussian adaptive moments TTYPE22 = 'base_SdssShape_xxSigma' / 1-sigma uncertainty on xx moment TTYPE23 = 'base_SdssShape_yySigma' / 1-sigma uncertainty on yy moment TTYPE24 = 'base_SdssShape_xySigma' / 1-sigma uncertainty on xy moment TTYPE25 = 'base_SdssShape_x' / elliptical Gaussian adaptive moments TTYPE26 = 'base_SdssShape_y' / elliptical Gaussian adaptive moments TTYPE27 = 'base_SdssShape_flux' / elliptical Gaussian adaptive moments TTYPE28 = 'base_SdssShape_fluxSigma' / 1-sigma flux uncertainty TTYPE29 = 'base_SdssShape_psf_xx' / adaptive moments of the PSF model at the obj TTYPE30 = 'base_SdssShape_psf_yy' / adaptive moments of the PSF model at the obj TTYPE31 = 'base_SdssShape_psf_xy' / adaptive moments of the PSF model at the obj TTYPE32 = 'base_SdssShape_flux_xx_Cov' / uncertainty covariance between base_Sds TTYPE33 = 'base_SdssShape_flux_yy_Cov' / uncertainty covariance between base_Sds TTYPE34 = 'base_SdssShape_flux_xy_Cov' / uncertainty covariance between base_Sds TTYPE35 = 'base_CircularApertureFlux_3_0_flux' / flux within 3.000000-pixel aper TTYPE36 = 'base_CircularApertureFlux_3_0_fluxSigma' / 1-sigma flux uncertainty TTYPE37 = 'base_CircularApertureFlux_4_5_flux' / flux within 4.500000-pixel aper TTYPE38 = 'base_CircularApertureFlux_4_5_fluxSigma' / 1-sigma flux uncertainty TTYPE39 = 'base_CircularApertureFlux_6_0_flux' / flux within 6.000000-pixel aper TTYPE40 = 'base_CircularApertureFlux_6_0_fluxSigma' / 1-sigma flux uncertainty TTYPE41 = 'base_CircularApertureFlux_9_0_flux' / flux within 9.000000-pixel aper TTYPE42 = 'base_CircularApertureFlux_9_0_fluxSigma' / 1-sigma flux uncertainty TTYPE43 = 'base_CircularApertureFlux_12_0_flux' / flux within 12.000000-pixel ap TTYPE44 = 'base_CircularApertureFlux_12_0_fluxSigma' / 1-sigma flux uncertainty TTYPE45 = 'base_CircularApertureFlux_17_0_flux' / flux within 17.000000-pixel ap TTYPE46 = 'base_CircularApertureFlux_17_0_fluxSigma' / 1-sigma flux uncertainty TTYPE47 = 'base_CircularApertureFlux_25_0_flux' / flux within 25.000000-pixel ap TTYPE48 = 'base_CircularApertureFlux_25_0_fluxSigma' / 1-sigma flux uncertainty TTYPE49 = 'base_CircularApertureFlux_35_0_flux' / flux within 35.000000-pixel ap TTYPE50 = 'base_CircularApertureFlux_35_0_fluxSigma' / 1-sigma flux uncertainty TTYPE51 = 'base_CircularApertureFlux_50_0_flux' / flux within 50.000000-pixel ap TTYPE52 = 'base_CircularApertureFlux_50_0_fluxSigma' / 1-sigma flux uncertainty TTYPE53 = 'base_CircularApertureFlux_70_0_flux' / flux within 70.000000-pixel ap TTYPE54 = 'base_CircularApertureFlux_70_0_fluxSigma' / 1-sigma flux uncertainty TTYPE55 = 'base_GaussianFlux_flux' / flux from Gaussian Flux algorithm TTYPE56 = 'base_GaussianFlux_fluxSigma' / 1-sigma flux uncertainty TTYPE57 = 'base_PsfFlux_flux' / flux derived from linear least-squares fit of P TTYPE58 = 'base_PsfFlux_fluxSigma' / 1-sigma flux uncertainty TTYPE59 = 'base_Variance_value' / Variance at object position TTYPE60 = 'base_PsfFlux_apCorr' / aperture correction applied to base_PsfFlux TTYPE61 = 'base_PsfFlux_apCorrSigma' / aperture correction applied to base_PsfFl TTYPE62 = 'base_GaussianFlux_apCorr' / aperture correction applied to base_Gauss TTYPE63 = 'base_GaussianFluxapCorrSigma' / aperture correction applied to base TTYPE64 = 'base_ClassificationExtendedness_value' / Set to 1 for extended source TTYPE65 = 'footprint' / archive ID for Footprint
@drphilmarshall https://github.com/drphilmarshall Is this what you wanted?
— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/LSSTDESC/Twinkles/issues/423, or mute the thread https://github.com/notifications/unsubscribe-auth/AArY9zyWcJX14f57n-u5CdqkmxU8wNerks5rEIH7gaJpZM4LC94n .
SimonKrughoff
At the Dec 1 Twinkles meeting, I was asked to post the header of the coadd catalog results so that the shape measurement parameters could be assessed. I'm attaching the full header for
from the output repo of a recent Level 2 run: merged_deepCoadd_results_catalog_header.txt
Here is the same header passed through
grep TTYPEthat the column names are easy to see:@drphilmarshall Is this what you wanted?