- Timestamp:
- Jan 26, 2019, 2:24:50 PM (7 years ago)
- Location:
- trunk/doc/release.2015
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- 6 edited
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ps1.analysis/Makefile (modified) (2 diffs)
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ps1.analysis/analysis.tex (modified) (13 diffs)
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ps1.calibration/Makefile (modified) (2 diffs)
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ps1.calibration/calibration.tex (modified) (61 diffs)
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ps1.detrend/detrend.bbl (modified) (4 diffs)
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ps1.detrend/detrend.tex (modified) (5 diffs)
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trunk/doc/release.2015/ps1.analysis/Makefile
r40584 r40614 4 4 # 5 5 DO_PDFLATEX = 1 6 DO_BIBTEX = 16 DO_BIBTEX = 0 7 7 8 8 help: … … 20 20 PDFPICS = \ 21 21 pics/peaks.pdf \ 22 pics/FWHM.smooth.trend.ps1.p df\22 pics/FWHM.smooth.trend.ps1.png \ 23 23 pics/moment.class.pdf \ 24 24 pics/radial.profiles.pdf -
trunk/doc/release.2015/ps1.analysis/analysis.tex
r40610 r40614 1 %\documentclass[iop,floatfix]{emulateapj}2 \documentclass[10pt,preprint]{aastex}1 \documentclass[iop,floatfix]{emulateapj} 2 % \documentclass[10pt,preprint]{aastex} 3 3 % \pdfoutput=1 4 4 … … 162 162 contained only average information resulting from the many individual 163 163 images obtained by the $3\pi$ Survey observations. A second data 164 release, DR2, was made available \note{20 January 2019}. DR2 provides164 release, DR2, was made available 28 January 2019. DR2 provides 165 165 measurements from all of the individual exposures, and include an 166 166 improved calibration of the PV3 processing of that dataset. … … 466 466 467 467 \begin{table*} 468 \caption{\label{tab:measurements} \nocode{psphot} measurements performed} % \vspace{-0.5cm} 468 469 \begin{center} 469 470 \footnotesize 470 \caption{\label{tab:measurements} \nocode{psphot} measurements performed} % \vspace{-0.5cm}471 471 \begin{tabular}{lccccll} 472 472 \hline … … 531 531 532 532 \begin{table*} 533 \caption{\label{tab:det_flag_values} \nocode{psphot} Detection Flag Values \#1} % \vspace{-0.5cm} 533 534 \begin{center} 534 535 \footnotesize 535 \caption{\label{tab:det_flag_values} \nocode{psphot} Detection Flag Values \#1} % \vspace{-0.5cm}536 536 \begin{tabular}{lrl} 537 537 \hline … … 578 578 579 579 \begin{table*} 580 \caption{\label{tab:det_flag2_values} \nocode{psphot} Detection Flag Values \#2} % \vspace{-0.5cm} 580 581 \begin{center} 581 582 \footnotesize 582 \caption{\label{tab:det_flag2_values} \nocode{psphot} Detection Flag Values \#2} % \vspace{-0.5cm}583 583 \begin{tabular}{lrl} 584 584 \hline … … 672 672 673 673 \begin{table*} 674 \caption{\label{tab:mask_values} \nocode{psphot} / GPC1 Mask Image Pixel Values} % \vspace{-0.5cm} 674 675 \begin{center} 675 676 \footnotesize 676 \caption{\label{tab:mask_values} \nocode{psphot} / GPC1 Mask Image Pixel Values} % \vspace{-0.5cm}677 677 \begin{tabular}{lcccl} 678 678 \hline … … 1252 1252 a linear model: 1253 1253 \[ 1254 R[(x_{\rm mod},y_{\rm mod})][(x_{\rm ccd},y_{\rm ccd})] = R_o[(x_{\rm 1255 mod},y_{\rm mod})] + R_x[(x_{\rm 1256 mod},y_{\rm mod})] x_{\rm ccd} + R_y[(x_{\rm 1257 mod},y_{\rm mod})] y_{\rm ccd} 1254 \begin{array}{lll} 1255 R[(x_{\rm mod},y_{\rm mod})][(x_{\rm ccd},y_{\rm ccd})] & = & R_o[(x_{\rm mod},y_{\rm mod})] \\ 1256 & + & R_x[(x_{\rm mod},y_{\rm mod})] x_{\rm ccd} \\ 1257 & + & R_y[(x_{\rm mod},y_{\rm mod})] y_{\rm ccd} \\ 1258 \end{array} 1258 1259 \] 1259 1260 where $R[(x_{\rm mod},y_{\rm mod})][(x_{\rm ccd},y_{\rm ccd})]$ is the … … 1367 1368 for a given order of the PSF 2D variations.} % \vspace{-0.5cm} 1368 1369 \begin{center} 1369 \begin{tabular}{lll l}1370 \begin{tabular}{lll} 1370 1371 \hline 1371 1372 \hline 1372 {\bf Minimum Number of Stars} & {\bf Order} & {\bf Number of Grid Cells} \\ 1373 {\bf Minimum Number} & {\bf Order} & {\bf Number of} \\ 1374 {\bf of Stars} & & {\bf Grid Cells} \\ 1373 1375 \hline 1374 16 & 1 & 4 & 4\\1375 54 & 2 & 9 & 6\\1376 128 & 3 & 16 & 8\\1377 300 & 4 & 25 & 12\\1378 576 & 5 & 36 & 16\\1376 16 & 1 & 4 \\ 1377 54 & 2 & 9 \\ 1378 128 & 3 & 16 \\ 1379 300 & 4 & 25 \\ 1380 576 & 5 & 36 \\ 1379 1381 \hline 1380 1382 \end{tabular} … … 2305 2307 2306 2308 % Graham & Driver : Graham A. W., Driver S. P. 2005, PASA 22, 118 2307 a% DOI: https://doi.org/10.1071/AS050012309 % DOI: https://doi.org/10.1071/AS05001 2308 2310 2309 2311 The central pixel of the S\'ersic, DeVaucouleur, and Exponential 2310 models require special handling. When comparing an analytical model2312 models requires special handling. When comparing an analytical model 2311 2313 to the pixelized image recorded by a CCD, one normally treats the 2312 2314 value in a pixel as equivalent to the value of the model at the center … … 2798 2800 image. 2799 2801 2800 \section{Examples and Tests}2801 2802 \note{to be added}2802 % \section{Examples and Tests} 2803 2804 % \section{Conclusions} 2803 2805 2804 2806 \acknowledgments … … 2821 2823 2822 2824 \bibliographystyle{apj} 2823 \bibliography{lib}{}2824 %\input{analysis.bbl}2825 %\bibliography{lib}{} 2826 \input{analysis.bbl} 2825 2827 2826 2828 \end{document} … … 2851 2853 * plots showing the quality of the data? 2852 2854 2853 Tables needed:2854 2855 * table of models?2856 2857 Work still needed:2858 2859 * section 3.5.3 Model applied to detected sources needs to be reviewed2860 2861 * background model description (see waters)2862 2863 % alternative version:2864 % @book{madsen2004methods,2865 % title={Methods for Non-linear Least Squares Problems},2866 % author={Madsen, K. and Nielsen, H.B. and Tingleff, O. and Danmarks tekniske universitet. Informatik og Matematisk Modellering},2867 % url={https://books.google.com/books?id=mhj4MgEACAAJ},2868 % year={2004},2869 % publisher={Informatics and Mathematical Modelling, Technical University of Denmark}2870 % }2871 2872 2855 % programs mentioned in this text: 2873 2856 % psphot … … 2877 2860 % ppSub 2878 2861 2879 2880 kukui: foreach f (`grep PM_SOURCE ~/src/kukui/panstarrs/ipp-trunk/psModules/src/objects/pmSourceMasks.h | grep -v "^#" | prcol 1`)2881 foreach? echo --- $f ---2882 foreach? grep $f */*.tex2883 foreach? end2884 --- PM_SOURCE_MODE_DEFAULT ---2885 --- PM_SOURCE_MODE_PSFMODEL ---2886 --- PM_SOURCE_MODE_EXTMODEL ---2887 --- PM_SOURCE_MODE_FITTED ---2888 --- PM_SOURCE_MODE_FAIL ---2889 ps1.analysis/analysis.tex:flags the object with the bad bit \code{PM_SOURCE_MODE_FAIL}. It is2890 ps1.analysis/analysis.tex:non-linear PSF fit (\code{PM_SOURCE_MODE_FAIL}).2891 --- PM_SOURCE_MODE_POOR ---2892 ps1.analysis/analysis.tex:the flag bit (\code{PM_SOURCE_MODE_POOR}).2893 --- PM_SOURCE_MODE_PAIR ---2894 --- PM_SOURCE_MODE_PSFSTAR ---2895 --- PM_SOURCE_MODE_SATSTAR ---2896 ps1.analysis/analysis.tex:non-linear PSF model fit (\code{PM_SOURCE_MODE_SATSTAR}). Among these2897 ps1.analysis/analysis.tex:saturated stars (\code{PM_SOURCE_MODE_SATSTAR}). These model fits2898 --- PM_SOURCE_MODE_BLEND ---2899 --- PM_SOURCE_MODE_EXTERNAL ---2900 --- PM_SOURCE_MODE_BADPSF ---2901 --- PM_SOURCE_MODE_DEFECT ---2902 --- PM_SOURCE_MODE_SATURATED ---2903 --- PM_SOURCE_MODE_CR_LIMIT ---2904 --- PM_SOURCE_MODE_EXT_LIMIT ---2905 --- PM_SOURCE_MODE_MOMENTS_FAILURE ---2906 --- PM_SOURCE_MODE_SKY_FAILURE ---2907 --- PM_SOURCE_MODE_SKYVAR_FAILURE ---2908 --- PM_SOURCE_MODE_BELOW_MOMENTS_SN ---2909 --- PM_SOURCE_MODE_BIG_RADIUS ---2910 --- PM_SOURCE_MODE_AP_MAGS ---2911 --- PM_SOURCE_MODE_BLEND_FIT ---2912 --- PM_SOURCE_MODE_EXTENDED_FIT ---2913 --- PM_SOURCE_MODE_EXTENDED_STATS ---2914 --- PM_SOURCE_MODE_LINEAR_FIT ---2915 --- PM_SOURCE_MODE_NONLINEAR_FIT ---2916 --- PM_SOURCE_MODE_RADIAL_FLUX ---2917 --- PM_SOURCE_MODE_SIZE_SKIPPED ---2918 --- PM_SOURCE_MODE_ON_SPIKE ---2919 --- PM_SOURCE_MODE_ON_GHOST ---2920 --- PM_SOURCE_MODE_OFF_CHIP ---2921 --- PM_SOURCE_MODE2_DEFAULT ---2922 --- PM_SOURCE_MODE2_DIFF_WITH_SINGLE ---2923 ps1.analysis/analysis.tex:\code{PM_SOURCE_MODE2_DIFF_WITH_SINGLE = 0x00000001} is raised, while2924 --- PM_SOURCE_MODE2_DIFF_WITH_DOUBLE ---2925 ps1.analysis/analysis.tex:\code{PM_SOURCE_MODE2_DIFF_WITH_DOUBLE = 0x00000002} raised.2926 --- PM_SOURCE_MODE2_MATCHED ---2927 --- PM_SOURCE_MODE2_ON_SPIKE ---2928 --- PM_SOURCE_MODE2_ON_STARCORE ---2929 --- PM_SOURCE_MODE2_ON_BURNTOOL ---2930 --- PM_SOURCE_MODE2_ON_CONVPOOR ---2931 --- PM_SOURCE_MODE2_PASS1_SRC ---2932 --- PM_SOURCE_MODE2_HAS_BRIGHTER_NEIGHBOR ---2933 --- PM_SOURCE_MODE2_BRIGHT_NEIGHBOR_1 ---2934 --- PM_SOURCE_MODE2_BRIGHT_NEIGHBOR_10 ---2935 --- PM_SOURCE_MODE2_DIFF_SELF_MATCH ---2936 ps1.analysis/analysis.tex:$\sigma$, then the bit \code{PM_SOURCE_MODE2_DIFF_SELF_MATCH =2937 --- PM_SOURCE_MODE2_SATSTAR_PROFILE ---2938 --- PM_SOURCE_MODE2_ECONTOUR_FEW_PTS ---2939 --- PM_SOURCE_MODE2_RADBIN_NAN_CENTER ---2940 --- PM_SOURCE_MODE2_PETRO_NAN_CENTER ---2941 --- PM_SOURCE_MODE2_PETRO_NO_PROFILE ---2942 --- PM_SOURCE_MODE2_PETRO_INSIG_RATIO ---2943 --- PM_SOURCE_MODE2_PETRO_RATIO_ZEROBIN ---2944 --- PM_SOURCE_MODE2_EXT_FITS_RUN ---2945 --- PM_SOURCE_MODE2_EXT_FITS_FAIL ---2946 --- PM_SOURCE_MODE2_EXT_FITS_RETRY ---2947 --- PM_SOURCE_MODE2_EXT_FITS_NONE --- -
trunk/doc/release.2015/ps1.calibration/Makefile
r40597 r40614 4 4 # remember to set \pdfoutput at the top 5 5 6 DO_BIBTEX = 16 DO_BIBTEX = 0 7 7 # remember to change from \bibliography to \input{.bbl} at the bottom 8 8 … … 21 21 ../inputs/code.sty \ 22 22 ../inputs/apj.bst \ 23 ../inputs/lib.bib\24 pics/ photflat.example.png \25 pics/ allsky.photom.sigma.png \23 pics/photflat.example.sm.png \ 24 pics/allsky.photom.sigma.sm.png \ 25 pics/rings.v3.example.png \ 26 26 pics/KHexample.png \ 27 27 pics/KHmap.png \ 28 28 pics/dcr.r2.g.png \ 29 pics/astroflat.gri. png \30 pics/astroflat.zy. png \29 pics/astroflat.gri.sm.png \ 30 pics/astroflat.zy.sm.png \ 31 31 pics/allsky.astrom.sigma.png \ 32 32 pics/gaia.photom.png \ -
trunk/doc/release.2015/ps1.calibration/calibration.tex
r40602 r40614 1 \documentclass[10pt,preprint]{aastex}2 %\documentclass[iop,floatfix]{emulateapj}1 % \documentclass[10pt,preprint]{aastex} 2 \documentclass[iop,floatfix]{emulateapj} 3 3 % \pdfoutput=1 4 4 … … 101 101 of the Pan-STARRS\,1 $3\pi$ Survey. The photometric goals were to 102 102 reduce the systematic effects introduced by the camera and detectors, 103 and to place all of the observations into a photometric system with103 and to place all of the observations onto a photometric system with 104 104 consistent zero points over the entire area surveyed, the \approx 105 105 30,000 square degrees north of $\delta = -30$\degrees. The … … 115 115 116 116 \section{Introduction}\label{sec:intro} 117 118 \note{list all ID\_IMAgE, ID\_MEAS, ID\_OBJ, ID\_SECF flags from libdvo/include/dvo.h and identify how they are set; make tables}119 120 117 121 118 From May 2010 through March 2014, the Pan-STARRS Science Consortium … … 175 172 contained only average information resulting from the many individual 176 173 images obtained by the $3\pi$ Survey observations. A second data 177 release, DR2, was made available \note{20 January 2019}. DR2 provides174 release, DR2, was made available 28 January 2019. DR2 provides 178 175 measurements from all of the individual exposures, and include an 179 176 improved calibration of the PV3 processing of that dataset. 180 177 181 178 This is the fifth in a series of seven papers describing the 182 Pan-STARRS1 Surveys, the data reduction tech iques and the resulting179 Pan-STARRS1 Surveys, the data reduction techniques and the resulting 183 180 data products. This paper (Paper V) describes the final calibration 184 181 process, and the resulting photometric and astrometric quality. … … 195 192 %Pan-STARRS Data Processing Stages 196 193 \citet[][Paper II]{magnier2017.datasystem} 197 describes how the various data processing stages are organi sed and implemented194 describes how the various data processing stages are organized and implemented 198 195 in the Imaging Processing Pipeline (IPP), including details of the 199 196 the processing database which is a critical element in the IPP infrastructure . … … 288 285 Astronomical objects are detected and characterized in the stack 289 286 images. The details of the analysis of the sources in the stack 290 images are discussed in \cite{magnier2017.analysis}, but in brief these include 291 PSF photometry, along with a range of measurements driven by the goals 292 of understanding the galaxies in the images. Because of the 293 significant mask fraction of the GPC1 focal plane, and the varying 294 image quality both within and between exposures, the effective PSF of 295 the PS1 stack images is highly variable. The PSF varies significantly 296 on scales as small as a few to tens of pixels, making accurate PSF 297 modelling essentially infeasible. The PSF photometry of sources in 298 the stack images is thus degraded significantly compared to the 299 quality of the photometry measured for the individual chip images. 287 images are discussed in \cite{magnier2017.analysis}, but in brief 288 these include PSF photometry, along with a range of measurements 289 driven by the goals of understanding the galaxies in the images. 290 Because of the significant mask fraction of the GPC1 focal plane, and 291 the varying image quality both within and between exposures, the 292 effective PSF of the PS1 stack images (often including more than 10 293 input exposures taken in different conditions) is highly variable. 294 The PSF varies significantly on scales as small as a few to tens of 295 pixels, making accurate PSF modelling essentially infeasible. The PSF 296 photometry of sources in the stack images is thus degraded 297 significantly compared to the quality of the photometry measured for 298 the individual chip images. 300 299 301 300 To recover most of the photometric quality of the individual chip … … 311 310 fluxes from the individual warp images are averaged, a reliable 312 311 measurement of the faint source flux is determined. The details of 313 this analysis are described in detail in Magnier et al 314 \cite{magnier2017.analysis}. 312 this analysis are described in detail in \cite{magnier2017.analysis}. 315 313 316 314 The data products from the chip photometry, stack photometry, and … … 320 318 photometric and astrometric calibrations. In this article, we discuss 321 319 the photometric calibration of the individual exposures, the stacks, 322 and the warp imag s. We also discuss the astrometric calibration of320 and the warp images. We also discuss the astrometric calibration of 323 321 the individual exposures and the stack images. 324 322 … … 332 330 each chip: a simple TAN projection as described by 333 331 \cite{2002AA...395.1077C} is used to relate sky coordinates to a 334 cartesian tangent-plane coordinate system. A pair of low-order332 Cartesian tangent-plane coordinate system. A pair of low-order 335 333 polynomials are used to relate the chip pixel coordinates to this 336 334 tangent-plane coordinate system. The transforming polynomials are of … … 352 350 accuracy consists of a set of connected solutions for all chips in a 353 351 single exposure. This model also uses a TAN projection to relate the 354 sky coordinates to a locally cartesian tangent plane coordinate system.352 sky coordinates to a locally Cartesian tangent plane coordinate system. 355 353 A set of polynomials is then used to relate the tangent plane 356 354 coordinates to a `focal plane' coordinate system, $L,M$: … … 363 361 across the field of the camera. Since these effects are smooth across 364 362 the field of the camera, a single pair of polynomials can be used for 365 each exposure. Like in the chip analysis abo ut, the \ippprog{psastro}363 each exposure. Like in the chip analysis above, the \ippprog{psastro} 366 364 code restricts the exponents with the rule $i + j <= N_{\rm order}$ 367 365 where the order of the fit, $N_{\rm order}$, may be 1 to 3, under the … … 392 390 \end{eqnarray} 393 391 394 \note{does this section need more? does this section need to be moved?}395 396 392 %% Include a description of the WCS keywords used to represent the fit elements? 397 393 … … 476 472 if too many reference stars are chosen, there is a higher chance of a 477 473 false-positive match, especially as many of the reference stars may 478 not be detected in the GPC1 image. The sele tion of the reference474 not be detected in the GPC1 image. The selection of the reference 479 475 stars includes a limit on the brightest and faintest magnitudes of the 480 476 stars selected. … … 537 533 538 534 The astrometry solution from the cross correlation step above is again 539 used to select edmatches between the reference stars and observed535 used to select matches between the reference stars and observed 540 536 stars in the image. The matching radius starts off quite large, and a 541 537 series of fits is performed to generate the transformation between … … 586 582 the current best set of transformations. These fits start with low 587 583 order (1) and large matching radius. As the iterations proceed, the 588 radius is reduced and the order is allowed to increa es, up to 3rd584 radius is reduced and the order is allowed to increase, up to 3rd 589 585 order for the final iterations. 590 586 … … 610 606 calibration was based on a reference catalog generated from 611 607 \PSONE\ photometry, this methods was no longer needed. Note that we 612 do not include an airmass correction in this zero point analysis: the 613 airmass correction is folded into the observed zero point. The zero 608 do not fit for the airmass slope in this analysis. The nominal 609 airmass slope is used for each filter; any deviation from the nominal 610 value is effectively folded into the observed zero point. The zero 614 611 point may be measured separately for each chip or as a single value 615 612 for the entire exposure; the latter option was used for the PV3 … … 687 684 \code{X} in both cases is one of {$grizy$}. 688 685 % 689 Table~\ref{tab: tab:object_mask_values} lists the flags specific to an686 Table~\ref{tab:object_mask_values} lists the flags specific to an 690 687 object as a whole. These values are stored in the DVO database field 691 688 \code{Average.flags} and are exposed in PSPS in … … 875 872 876 873 Photometric nights are selected and all other exposures are ignored. 877 Each night is allowed to have a single fitted zero point and a single 878 fitted value for the airmass extinction coefficient per filter. The 879 zero points and extinction terms are determined as a least squares 880 minimization process using the repeated measurements of the same stars 881 from different nights to tie nights together. Flat-field corrections 882 are also determined as part of the minimization process. In the 883 original (PV1) ubercal analysis, \cite{2012ApJ...756..158S} determined 884 flat-field corrections for $2\times 2$ sub-regions of each chip in the 885 camera and four distinct time periods (``seasons''). Later analysis 886 (PV2) used an $8\times8$ grid of flat-field corrections to good 887 effect. 874 Each night is allowed to have a single fitted zero point 875 (corresponding to the sum $zp_{\rm nominal} + M_{cal}$ below) and a 876 single fitted value for the airmass extinction coefficient ($K_{\rm 877 \lambda}$) per filter. The zero points and extinction terms are 878 determined as a least squares minimization process using the repeated 879 measurements of the same stars from different nights to tie nights 880 together. Flat-field corrections are also determined as part of the 881 minimization process. In the original (PV1) ubercal analysis, 882 \cite{2012ApJ...756..158S} determined flat-field corrections for 883 $2\times 2$ sub-regions of each chip in the camera and four distinct 884 time periods (``seasons''). Later analysis (PV2) used an $8\times8$ 885 grid of flat-field corrections to good effect. 888 886 889 887 The ubercal analysis was re-run for PV3 by the Harvard group. For the … … 952 950 DVO internal representation in which the zero point of each image is 953 951 split into three main components: 954 \ [952 \begin{equation} 955 953 zp_{\rm total} = zp_{\rm nominal} + M_{cal} + K_{\rm \lambda}(\sec \zeta - 1) 956 \ ]954 \end{equation} 957 955 where $zp_{\rm nominal}$ and $K_{\rm \lambda}$ are static values for 958 956 each filter representing respectively the nominal zero point and the … … 978 976 \hline 979 977 \hline 980 {\bf Filter} & {\bf Zero Point (Raw)} & {\bf Zero Point (Calspec)} & {\bf Airmass Slope} \\ 978 {\bf Filter} & {\bf Zero Point} & {\bf Zero Point} & {\bf Airmass Slope} \\ 979 & {\bf (Raw)} & {\bf (Calspec)} & \\ 981 980 \hline 982 981 \gps & 24.563 & 24.583 & 0.147 \\ … … 995 994 tables, it also updates the individual measurements associated with 996 995 those images. In the DVO database schema, the normalized instrumental 997 magnitude, $M_{\rm inst} = -2.5log_{10} (DN / sec) + 25.0$ are stored998 for each measurement . The value of 25.0 isan arbitrary (but fixed)999 constant offset to place theinstrumental magnitudes into996 magnitude, $M_{\rm inst} = -2.5log_{10} (DN / sec)$ is stored 997 for each measurement, with an arbitrary (but fixed) 998 constant offset of 25 to place the modified instrumental magnitudes into 1000 999 approximately the correct range. Associated with each measurement are 1001 1000 two correction magnitudes: $M_{\rm cal}$ and $M_{\rm flat}$, along … … 1009 1008 (`relative') magnitude is determined from the stored database values 1010 1009 as: 1011 \ [1012 M_{\rm rel} = M_{\rm inst} - 25.0+ zp_{\rm ref} + M_{\rm cal} + M_{\rm flat} + K_\lambda (sec \zeta - 1).1013 \ ]1010 \begin{equation} 1011 M_{\rm rel} = M_{\rm inst} + zp_{\rm ref} + M_{\rm cal} + M_{\rm flat} + K_\lambda (sec \zeta - 1). 1012 \end{equation} 1014 1013 The calibration offsets, $M_{\rm cal}$ and $M_{\rm flat}$, represent 1015 1014 the per-exposure zero point correction and the slowly-changing … … 1045 1044 are related by arithmetic magnitude offsets which account for effects 1046 1045 such as the instrumental variations and atmospheric attenuation. 1047 \ [1046 \begin{equation} 1048 1047 M_{rel} = m_{inst} + ZP + M_{cal} 1049 \ ]1048 \end{equation} 1050 1049 1051 1050 From the collection of measurements, we can generate an average 1052 1051 magnitude for a single star (or other object): 1053 \[ M_{ave} = \frac{\sum_i M_{rel,i} w_i}{\sum_i w_i} \] 1052 \begin{equation} 1053 M_{ave} = \frac{\sum_i M_{rel,i} w_i}{\sum_i w_i} 1054 \end{equation} 1054 1055 We find that the color difference of the different chips can be 1055 1056 ignored, and set the color-trend slope to 0.0. Note that we only use … … 1063 1064 finding the best mean magnitudes for all objects and the best 1064 1065 $M_{\rm cal}$ offset for each exposure: 1065 \[ \chi^2 = \sum_{i,j} (m_{inst}[i,j] + ZP + K \zeta + M_{clouds}[i] - M_{ave}[j]) w_{i,j} / \sum_{i,j} w_{i,j} \] 1066 \begin{equation} 1067 \chi^2 = \frac{\sum_{i,j} (m_{inst}[i,j] + ZP + K \zeta + 1068 M_{clouds}[i] - M_{ave}[j]) w_{i,j}}{\sum_{i,j} w_{i,j}} 1069 \end{equation} 1066 1070 1067 1071 If everything were fitted at once and allowed to float, this system of … … 1087 1091 We attempt to exclude these poor measurements in advance by rejecting 1088 1092 measurements which the photometric analysis has flagged the result as 1089 susp cious. We reject detections which are excessively masked; these include1093 suspicious. We reject detections which are excessively masked; these include 1090 1094 detections which are too close to other bright objects, diffraction 1091 1095 spikes, ghost images, or the detector edges. However, these … … 1133 1137 % \note{do we drop this when calculating the final mean mags?} 1134 1138 % \note{do I need to present the math?} 1135 \[ \mu = \frac{\sum m_i w_i \sigma_i^{-2}}{\sum w_i \sigma_i^{-2}} \] 1136 \[ \sigma_\mu = \frac{\sum w_i^2 \sigma_i^{-2}}{(\sum w_i \sigma_i^{-2})^2} \] 1139 \begin{equation} 1140 \mu = \frac{\sum m_i w_i \sigma_i^{-2}}{\sum w_i \sigma_i^{-2}} 1141 \end{equation} 1142 \begin{equation} 1143 \sigma_\mu = \frac{\sum w_i^2 \sigma_i^{-2}}{(\sum w_i 1144 \sigma_i^{-2})^2} 1145 \end{equation} 1137 1146 1138 1147 The calculation of the relative photometry zero points is performed … … 1158 1167 \begin{center} 1159 1168 \begin{minipage}{0.85\linewidth} 1160 \includegraphics[width=\textwidth,clip]{{pics/photflat.example }.png}1169 \includegraphics[width=\textwidth,clip]{{pics/photflat.example.sm}.png} 1161 1170 \end{minipage} 1162 1171 \hspace{-2.75in} … … 1170 1179 The iterations described above (calculate mean 1171 1180 magnitudes, calculate zero points, calculate new measurements) are 1172 pe formed on each of the 73 region hosts in parallel. However, between1181 performed on each of the 73 region hosts in parallel. However, between 1173 1182 certain iteration steps, the region hosts must share some information. 1174 1183 After mean object magnitudes are calculated, the region hosts must … … 1185 1194 the 73 region hosts. A process is then launched on each of the region 1186 1195 hosts which is responsible for managing the image calibration analysis 1187 on that host. These processes in turn make an in tial request of the1196 on that host. These processes in turn make an initial request of the 1188 1197 photometry information (object and measurement) from the 100 parallel 1189 1198 DVO partition machines. In practice, the processes on the the region … … 1211 1220 analysis. 1212 1221 1213 \begin{figure }[htbp]1222 \begin{figure*}[htbp] 1214 1223 \begin{center} 1215 1224 %width=\hsize 1216 \includegraphics[height=\vsize,clip]{{pics/allsky.photom.sigma }.png}1225 \includegraphics[height=\vsize,clip]{{pics/allsky.photom.sigma.sm}.png} 1217 1226 \caption{\label{fig:allsky.photom.sigma} Consistency of photometry 1218 1227 measurements across the sky. Each panel shows a map of the … … 1223 1232 single-measurement errors for bright stars.} 1224 1233 \end{center} 1225 \end{figure }1234 \end{figure*} 1226 1235 1227 1236 %% \note{need to discuss the process of setting the final mean magnitudes} … … 1307 1316 for photometry tied to the PSF model and a second for the 1308 1317 aperture-like measurements (total aperture magnitudes, Kron magnitude, 1309 ci cular fixed-radius aperture magnitudes). This split is needed1318 circular fixed-radius aperture magnitudes). This split is needed 1310 1319 because of the limited quality of the stack PSF photometry due to the 1311 1320 highly variable PSF in the stacks. Aperture magnitudes, however, are … … 1326 1335 \subsection{Photometry Calibration Quality} 1327 1336 1328 Figure~\ref{fig:allsky.photom.sigma} shows the standard devi tions of1337 Figure~\ref{fig:allsky.photom.sigma} shows the standard deviations of 1329 1338 the mean residual photometry for bright stars as a function of 1330 1339 position across the sky. For each pixel in these images, we selected … … 1365 1374 1366 1375 Once the image photometric calibrations (zero points and flat-field 1367 corrections) have been determined and applied to the measureme tns from1376 corrections) have been determined and applied to the measurements from 1368 1377 each image, we can calculate the best average photometry for each 1369 1378 object. We calculate average magnitudes for the chip photometry; for … … 1398 1407 The ranking values are defined as follows: 1399 1408 \begin{itemize} 1400 \item {\bf rank 0 :} perfect measur ment (no quality concerns)1409 \item {\bf rank 0 :} perfect measurement (no quality concerns) 1401 1410 \item {\bf rank 1 :} PSF ``perfect pixel'' quality factor (\code{PSF_QF_PERFECT}) $< 0.85$. \code{PSF_QF_PERFECT} measures the PSF-weighted fraction of pixels which are not masked \citep[see][]{magnier2017.analysis}. 1402 \item {\bf rank 2 :} Photometry analysis flag field (\code{photFlags}) has one of the ``poor quality'' bits raised. These bits are listed below; OR-ed together they have the hex ideciaml value \code{0xe0440130}1411 \item {\bf rank 2 :} Photometry analysis flag field (\code{photFlags}) has one of the ``poor quality'' bits raised. These bits are listed below; OR-ed together they have the hexadecimal value \code{0xe0440130} 1403 1412 \begin{itemize} 1404 1413 \item {\tt PM\_SOURCE\_MODE\_POOR = 0x00000010} : Fit succeeded, but with low-S/N or high-Chisq … … 1419 1428 \code{PSF_QF} measures the PSF-weighted fraction of pixels which are 1420 1429 not masked as ``bad'', but may be ``suspect''. Bad values are 1421 blank, highly non-linear or non-responsi be; suspect pixels include1430 blank, highly non-linear or non-responsive; suspect pixels include 1422 1431 those pixels on ghosts, diffraction spikes, bright star bleeds, and 1423 1432 the mildly-saturated cores of bright stars. Suspect values may have … … 1440 1449 %% IMAGE_OFFSET = 2.0 mag 1441 1450 %% IMAGE_SCATTER = 0.075 mag 1442 \item {\bf rank 6 :} Photometry analysis flag field (\code{photFlags}) has one of the ``bad quality'' bits raised. These bits are listed below; OR-ed together they have the hex ideciaml value \code{0x1003bc88}1451 \item {\bf rank 6 :} Photometry analysis flag field (\code{photFlags}) has one of the ``bad quality'' bits raised. These bits are listed below; OR-ed together they have the hexadecimal value \code{0x1003bc88} 1443 1452 \begin{itemize} 1444 1453 \item {\tt PM\_SOURCE\_MODE\_FAIL = 0x00000008} : Non-linear fit failed (non-converge, off-edge, run to zero) … … 1469 1478 1470 1479 Rank values are assigned exclusively starting from the highest values: 1471 if a measurements satisfie ds the rule for \eg, rank 6, it will not be1480 if a measurements satisfies the rule for \eg, rank 6, it will not be 1472 1481 tested for ranks 5 and lower. After all measurements have been 1473 1482 assigned a ranking value, the set of all measurements with the common … … 1512 1521 error, is used to modify the standard weight. We use a Cauchy 1513 1522 function to define a new weight: 1514 \ [1523 \begin{equation} 1515 1524 \omega^\prime = \frac{\omega}{1 + r^2} 1516 \ ]1525 \end{equation} 1517 1526 using 1518 \ [1527 \begin{equation} 1519 1528 r = \frac{F_o - F_i}{\sigma} 1520 \ ]1529 \end{equation} 1521 1530 where $F_o$ is the average magnitude (or flux for forced-warp 1522 1531 photometry), $F_i$ is the measured magnitude (or flux), $\sigma$ is … … 1562 1571 bootstrap-resampled measurement of the error may be artificially 1563 1572 small. We record the maximum of the bootstrap-sampling error and the 1564 formal error from the weighted average calculation. The minimum nand1573 formal error from the weighted average calculation. The minimum and 1565 1574 maximum of the unclipped values are also recorded for the chip 1566 1575 photometry. … … 1646 1655 from the same skycell for each object. Also note that a faint object, 1647 1656 near the detection limit of the stack, may be detected on a 1648 secondary skycell but not (due to statistical fluc uations) be detected1657 secondary skycell but not (due to statistical fluctuations) be detected 1649 1658 on the corresponding primary skycell. Thus it is expected that some 1650 1659 objects may be lacking any primary detections. … … 1702 1711 \includegraphics[width=\hsize,clip]{{pics/KHexample}.png} 1703 1712 \caption{\label{fig:KHexample} Illustration of the Koppenh\"ofer Effect 1704 on chip XY04. In each plot, the solid line shows the measured1713 on chip XY04. {\bf Bottom left} X-direction before correction. The solid line shows the measured 1705 1714 mean residual for stars detected on this chip as a function of the 1706 instrumental magnitude / FWHM$^2$. {\bf bottom left} X-direction before correction.1707 {\bf bottom right} Y-direction before correction.1708 {\bf top left} X-direction after correction.1709 {\bf top right} Y-direction after correction. }1715 instrumental magnitude / FWHM$^2$. 1716 {\bf Bottom right} Y-direction before correction. 1717 {\bf Top left} X-direction after correction. 1718 {\bf Top right} Y-direction after correction. } 1710 1719 \end{center} 1711 1720 \end{figure*} … … 1716 1725 \caption{\label{fig:KHmap} Map of the amplitude of the 1717 1726 Koppenh\"ofer Effect on chips across the focal plane. In the 1718 affected chips, bright stars are up to 0.2 \note{arcsec}deviant1719 from their expected positions. {\bf bottom left} X-direction before1720 correction. {\bf bottom right} Y-direction before correction. {\bf1721 top left} X-direction after correction. {\bf top right}1727 affected chips, bright stars are up to 0.2 arcsec deviant 1728 from their expected positions. {\bf Bottom left} X-direction before 1729 correction. {\bf Bottom right} Y-direction before correction. {\bf 1730 Top left} X-direction after correction. {\bf Top right} 1722 1731 Y-direction after correction.} 1723 1732 \end{center} … … 1762 1771 The Koppenh\"ofer Effect was first identified in February 2011 by 1763 1772 Johannes Koppenh\"ofer (MPE) as part of the effort to search for 1764 planet transi sts in the Stellar Transit Survey data. He noticed that1765 the astromet y of bright stars and faint stars disagreed on overlapping1773 planet transits in the Stellar Transit Survey data. He noticed that 1774 the astrometry of bright stars and faint stars disagreed on overlapping 1766 1775 chips at the boundary between the STS fields. After some exploration, 1767 1776 it was determined that the X coordinate of the brightest stars was … … 1832 1841 angle. For each filter, we determine the DCR trend as a function of 1833 1842 the difference between the star color and the reference star color, 1834 using the red or blue color appro riate to the particular filter, times1843 using the red or blue color appropriate to the particular filter, times 1835 1844 the tangent of the zenith distance. Figure~\ref{fig:DCRexample} shows the 1836 1845 DCR trend for the 5 filters \grizy, as well as the measured … … 1849 1858 The amplitude of the DCR trend in the five filters is $(g,r,i,z,y) = 1850 1859 (0.010, 0.001, -0.003, -0.017, -0.021)$ arcsec airmass$^{-1}$ 1851 magn tiude$^{-1}$. We saturate the DCR correction if the term $color1860 magnitude$^{-1}$. We saturate the DCR correction if the term $color 1852 1861 TAN (\zeta)$ for a given measurement is outside a range where the 1853 1862 DCR correction is well measured. The maximum DCR correction applied … … 1859 1868 \begin{figure*}[htbp] 1860 1869 \begin{center} 1861 \includegraphics[width=0.85\textwidth,clip]{{pics/astroflat.gri }.png}1870 \includegraphics[width=0.85\textwidth,clip]{{pics/astroflat.gri.sm}.png} 1862 1871 \caption{\label{fig:astroflat.gri} High-resolution astrometric flat-field correction images for $gri$.} 1863 1872 \end{center} … … 1866 1875 \begin{figure*}[htbp] 1867 1876 \begin{center} 1868 \includegraphics[width=0.85\textwidth,clip]{{pics/astroflat.zy }.png}1877 \includegraphics[width=0.85\textwidth,clip]{{pics/astroflat.zy.sm}.png} 1869 1878 \caption{\label{fig:astroflat.zy} High-resolution astrometric flat-field correction images for $zy$.} 1870 1879 \end{center} … … 1891 1900 The dominant pattern in the astrometric residual is roughly a series 1892 1901 of concentric rings. The pattern is similar to the pattern of the 1893 focal surface residuals measured by \cite{ onaka.spie}, which also has1902 focal surface residuals measured by \cite{2008SPIE.7014E..0DO}, which also has 1894 1903 a concentric series of rings with similar spacing. The ``tent'' in 1895 1904 the center of the focal surface is reflected in these astrometry … … 1961 1970 per-measurement position errors. 1962 1971 1963 Figure~\ref{fig:allsky.astrom.sigma} shows the standard devi tions of1972 Figure~\ref{fig:allsky.astrom.sigma} shows the standard deviations of 1964 1973 the mean residual astrometry in $(\alpha,\delta)$ for bright stars as 1965 1974 a function of position across the sky. For each pixel in these … … 1997 2006 than the \approx 17 mas value in that earlier analysis. We attribute 1998 2007 this degradation to the noise introduced by the astrometric 1999 flat-field. 2000 2001 \note{This noise has been addressed for the DR2 release of the 2002 individual measurement data. show updated maps and residuals} 2008 flat-field. This noise has been addressed for the DR2 release 2009 of the individual measurement data. 2003 2010 2004 2011 \begin{figure}[htbp] … … 2039 2046 2040 2047 The initial analysis of the PV2 astrometry used the 2MASS positions as 2041 an inertial constraint: the 2MASS coordi ates were included in the2048 an inertial constraint: the 2MASS coordinates were included in the 2042 2049 calculation of the mean positions for the objects in the database, 2043 2050 with weight corresponding to the reported astrometric errors. In this … … 2064 2071 and PS1 epoch (\approx 2012). Since we are fitting the image 2065 2072 calibrations without fitting for the proper motions of the stars, we 2066 are in essence nceforcing those stars to have proper motions of 0.0.2073 are in essence forcing those stars to have proper motions of 0.0. 2067 2074 The background quasars would then be observed to have proper motions 2068 2075 corresponding to the proper motions of the reference stars, but in the … … 2080 2087 star mean position is then translated to the expected position at the 2081 2088 epoch of that image. The image calibration is then performed relative 2082 to these predicted pos tions. This process naturally accounts for the2089 to these predicted positions. This process naturally accounts for the 2083 2090 proper motion of the reference stars. In order to make the 2084 2091 calibrations consistent with the observed coordinates of an external … … 2089 2096 2090 2097 In order to perform this analysis, we need estimated distances for 2091 every reference star used in the analysis. Green et al (REF)2098 every reference star used in the analysis. \cite{2014ApJ...783..114G} 2092 2099 performed SED fitting for 800M stars in the 3$\pi$ region using PV2 2093 2100 data. The goal of this work was to determine the 3D structure of the … … 2104 2111 and Solar motion parameters ($U_{\rm sol}, V_{\rm sol}, W_{\rm sol}$) 2105 2112 = (9.32, 11.18, 7.61) km sec$^{-1}$ as determined by 2106 \cite{1997MNRAS.291..683F} using Hipparc os data. Proper motions are2113 \cite{1997MNRAS.291..683F} using Hipparchus data. Proper motions are 2107 2114 determined from the following: 2108 2115 \begin{eqnarray} … … 2112 2119 \mu^{\rm sol}_{b} & = & \frac{(U \cos(l) + V \sin(l)) \sin(b) - W \cos(b)}{d} 2113 2120 \end{eqnarray} 2114 where $d$ is the distance and $l,b$ are the Galactic coordin tes of the2121 where $d$ is the distance and $l,b$ are the Galactic coordinates of the 2115 2122 star. Note that the proper motion induced by 2116 2123 %% \note{some reference for this?} … … 2179 2186 to $g-r$ and $g-i$ colors. This transformation reproduces Gaia 2180 2187 photometry reasonably well for stars which are not too red. For a 2181 comparison, we have sele ted all PS1 stars with Gaia measurements2188 comparison, we have selected all PS1 stars with Gaia measurements 2182 2189 meeting the following criteria: $14 < i < 19$, with at least 10 total 2183 2190 measurements, within a modest color range $0.2 < g - r < 0.9$. We … … 2210 2217 % set Gr = -0.090 + gr*gi*0.229 + gi*(-0.207+gi*(gi*0.015 - 0.250)) + gr*(0.491+gr*(-0.021*gr - 0.052)) 2211 2218 2212 %\ [2219 %\begin{equation} 2213 2220 %G - r = -0.09 + 0.229(g-r)(g-r) + (g-i)(( 2214 2221 … … 2247 2254 median differences are ($\sigma_\alpha, \sigma_\delta) = (4, 3)$ 2248 2255 milliarcseconds. 2256 2257 For a future data release, we will recalibrate the Pan-STARRS $3\pi$ 2258 astrometry using the Gaia DR2 release. The addition of Gaia-measured 2259 proper motions will obviate the need to correct for the Galactic rotation. 2249 2260 2250 2261 \subsection{Calculation of Object Astrometry} … … 2376 2387 2377 2388 \bibliographystyle{apj} 2378 \bibliography{lib}{}2379 %\input{calibration.bbl}2389 % \bibliography{lib}{} 2390 \input{calibration.bbl} 2380 2391 2381 2392 \end{document} -
trunk/doc/release.2015/ps1.detrend/detrend.bbl
r40567 r40614 1 \begin{thebibliography}{1 6}1 \begin{thebibliography}{19} 2 2 \expandafter\ifx\csname natexlab\endcsname\relax\def\natexlab#1{#1}\fi 3 3 … … 47 47 {Shiao}, B. 2016, ArXiv e-prints 48 48 49 \bibitem[{{Hodapp} {et~al.}(2004){Hodapp}, {Siegmund}, {Kaiser}, {Chambers}, 50 {Laux}, {Morgan}, \& {Mannery}}]{2004SPIE.5489..667H} 51 {Hodapp}, K.~W., {Siegmund}, W.~A., {Kaiser}, N., {Chambers}, K.~C., {Laux}, 52 U., {Morgan}, J., \& {Mannery}, E. 2004, in \procspie, Vol. 5489, 53 Ground-based Telescopes, ed. J.~M. {Oschmann}, Jr., 667--678 54 49 55 \bibitem[{{Huber} {et~al.}(2017){Huber}, {TBD}, {TBD}, \& et~al.}]{huber2017} 50 56 {Huber}, M., {TBD}, A., {TBD}, B., \& et~al. 2017, ArXiv e-prints … … 87 93 C.~W., \& {Wainscoast}, R.~J. 2016{\natexlab{b}}, ArXiv e-prints 88 94 95 \bibitem[{{Onaka} {et~al.}(2008){Onaka}, {Tonry}, {Isani}, {Lee}, {Uyeshiro}, 96 {Rae}, {Robertson}, \& {Ching}}]{2008SPIE.7014E..0DO} 97 {Onaka}, P., {Tonry}, J.~L., {Isani}, S., {Lee}, A., {Uyeshiro}, R., {Rae}, C., 98 {Robertson}, L., \& {Ching}, G. 2008, in \procspie, Vol. 7014, Ground-based 99 and Airborne Instrumentation for Astronomy II, 70140D 100 89 101 \bibitem[{{Price} {et~al.}(2017){Price}, {TBD}, {TBD}, \& et~al.}]{price2017} 90 102 {Price}, P.~A., {TBD}, A., {TBD}, B., \& et~al. 2017, ArXiv e-prints … … 99 111 {Rix}, H.-W., {Stubbs}, C.~W., {Tonry}, J.~L., \& {Wainscoat}, R.~J. 2012, 100 112 \apj, 756, 158 113 114 \bibitem[{{Tonry} \& {Onaka}(2009)}]{2009amos.confE..40T} 115 {Tonry}, J. \& {Onaka}, P. 2009, in Advanced Maui Optical and Space 116 Surveillance Technologies Conference, E40 101 117 102 118 \bibitem[{{Tonry} {et~al.}(2012){Tonry}, {Stubbs}, {Lykke}, {Doherty}, -
trunk/doc/release.2015/ps1.detrend/detrend.tex
r40602 r40614 1 \documentclass[10pt,preprint]{aastex}2 %\documentclass[iop,floatfix]{emulateapj}1 %\documentclass[10pt,preprint]{aastex} 2 \documentclass[iop,floatfix]{emulateapj} 3 3 4 4 \pdfoutput=1 … … 845 845 excludes. 846 846 847 \ subsubsubsection{Electronic crosstalk ghosts}847 \paragraph{Electronic crosstalk ghosts} 848 848 \label{sec:crosstalk} 849 849 … … 904 904 \end{deluxetable} 905 905 906 \ subsubsubsection{Optical ghosts}906 \paragraph{Optical ghosts} 907 907 \label{sec:optical_ghosts} 908 908 … … 990 990 \end{figure} 991 991 992 \ subsubsubsection{Optical glints}992 \paragraph{Optical glints} 993 993 \label{sec:glints} 994 994 … … 1021 1021 \end{figure} 1022 1022 1023 \ subsubsubsection{Diffraction Spikes and Saturated Stars}1023 \paragraph{Diffraction Spikes and Saturated Stars} 1024 1024 \label{sec:diffraction_spikes} 1025 1025
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