Changeset 39868 for trunk/doc/release.2015/ps1.analysis/analysis.tex
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trunk/doc/release.2015/ps1.analysis/analysis.tex
r39866 r39868 1 1 \documentclass[iop,floatfix]{emulateapj} 2 % \documentclass[iop,floatfix,onecolumn]{emulateapj} 2 3 3 % \pdfoutput=1 4 4 5 % see latex.readme.txt for notes on using the PS1 template6 %\documentclass[12pt,preprint]{aastex}7 %\documentclass[manuscript]{aastex}8 %\documentclass[preprint2]{aastex}9 %\documentclass[preprint2,longabstract]{aastex}10 5 \RequirePackage{color} 11 6 \RequirePackage{code} … … 18 13 %\def\plotext{pdf} 19 14 \def\plotext{ps} 15 \def\plottype{eps} 20 16 21 17 %\def\picdir{/home/eugene/chipresid.20140404} … … 33 29 % list and (2) re-order the list at the bottom (and comment-out as needed) 34 30 \def\IfA{1} 31 \def\Princeton{2} 32 \def\DUR{3} 35 33 \def\CfA{2} 36 \def\MPIA{3}37 \def\Princeton{2}38 \def\USNO{4}39 \def\JHU{1}40 34 41 35 % This example has a first author from UH: 42 36 \author{ 43 37 Eugene A. Magnier,\altaffilmark{\IfA} 44 R. H. Lupton,\altaffilmark{\Princeton}38 % R. H. Lupton,\altaffilmark{\Princeton} 45 39 W.~E. Sweeney,\altaffilmark{\IfA} 46 40 K.~C. Chambers,\altaffilmark{\IfA} … … 49 43 P.~A. Price,\altaffilmark{\Princeton} 50 44 C. Z. Waters,\altaffilmark{\IfA} 51 PS1 Builders 45 % PS1 Builders 46 L. Denneau,\altaffilmark{\IfA} 47 P. Draper,\altaffilmark{\DUR} 48 R. Jedicke,\altaffilmark{\IfA} 49 K. W. Hodapp,\altaffilmark{\IfA} 50 R.-P. Kudritzki,\altaffilmark{\IfA} 51 N. Metcalfe,\altaffilmark{\DUR} 52 C.~W. Stubbs,\altaffilmark{\CfA} 52 53 % W.~S. Burgett,\altaffilmark{\IfA} 53 % K.~C. Chambers,\altaffilmark{\IfA}54 % L. Denneau,\altaffilmark{\IfA}55 % P. Draper,\altaffilmark{\DUR}56 % H.~A. Flewelling,\altaffilmark{\IfA}57 54 % T. Grav,\altaffilmark{\IfA} 58 55 % J. N. Heasley,\altaffilmark{\IfA} 59 % K. W. Hodapp,\altaffilmark{\IfA}60 % M. E. Huber,\altaffilmark{\IfA}61 % R. Jedicke,\altaffilmark{\IfA}62 56 % N. Kaiser,\altaffilmark{\IfA} 63 % R.-P. Kudritzki,\altaffilmark{\IfA}64 57 % G. A. Luppino,\altaffilmark{\IfA} 65 58 % R. H. Lupton,\altaffilmark{\Princeton} 66 59 % E. A. Magnier,\altaffilmark{\IfA} 67 % N. Metcalfe,\altaffilmark{\DUH}68 60 % D. G. Monet,\altaffilmark{\USNO} 69 61 % J.~S. Morgan,\altaffilmark{\IfA} 70 62 % P. M. Onaka,\altaffilmark{\IfA} 71 % P.~A. Price,\altaffilmark{\Princeton}72 % C.~W. Stubbs,\altaffilmark{\CfA}73 % W.~E. Sweeney,\altaffilmark{\IfA}74 63 % J.~L. Tonry, \altaffilmark{\IfA} 75 % R. J. Wainscoat,\altaffilmark{\IfA} and 76 % C. Z. Waters,\altaffilmark{\IfA} 64 R. J. Wainscoat\altaffilmark{\IfA} 77 65 } % this bracket terminates author list 78 66 79 67 % The ordering here should be sequential, matching the sequence in the list of authors: 80 68 \altaffiltext{\IfA}{Institute for Astronomy, University of Hawaii, 2680 Woodlawn Drive, Honolulu HI 96822} 81 % \altaffiltext{\CfA}{Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, MA 02138}82 69 \altaffiltext{\Princeton}{Department of Astrophysical Sciences, Princeton University, Princeton, NJ 08544, USA} 70 \altaffiltext{\DUR}{Department of Physics, Durham University, South Road, Durham DH1 3LE, UK} 71 \altaffiltext{\CfA}{Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, MA 02138} 83 72 % \altaffiltext{\USNO}{US Naval Observatory, Flagstaff Station, Flagstaff, AZ 86001, USA} 84 73 % \altaffiltext{\JHU}{Department of Physics and Astronomy, Johns Hopkins University, 3400 North Charles Street, Baltimore, MD 21218, USA} … … 157 146 described in detail in \cite{2012ApJ...750...99T}. 158 147 148 {\color{red} {\em Note: These papers are being placed on arXiv.org to 149 provide crucial support information at the time of the public 150 release of Data Release 1 (DR1). We expect the arXiv versions to 151 be updated prior to submission to the Astrophysical Journal in 152 January 2017. Feedback and suggestions for additional information 153 from early users of the data products are welcome during the 154 submission and refereeing process.}} 155 156 \section{Background} 157 159 158 The photometric and astrometric precision goals for the Pan-STARRS\,1 160 159 surveys were quite stringent: photmetric accuracy of 10 … … 183 182 astrometry. 184 183 185 \subsection{Comparable Programs}186 187 184 A variety of astronomical software packages perform the basic object 188 185 detection, measurement, and classification tasks needed by the … … 198 195 pro: well-tested, stable code. con: limited range of models, 199 196 algorithm converges slowly to a PSF model, limited tests of PSF 200 validity, inflexible code base, fortran (P. Schechter)197 validity, inflexible code base, fortran \citep{1993PASP..105.1342S}. 201 198 202 199 \item DAOPhot : Pixel-map PSF model with analytical component. pro: 203 200 well-tested, high-quality photometry. con: Difficult to use in an 204 automated fashion, does it handle 2D variations well? (P. Stetson)201 automated fashion, does it handle 2D variations well? \citep{1987PASP...99..191S}. 205 202 206 203 \item Sextractor : pure aperture measurement with rudimentary object 207 204 subtraction. pro: fast, widely used, easy to automate. con: poor 208 205 object separation in crowded regions, PSF-modeling was only in beta, 209 not widely used at the time. (E. Bertin) 210 211 \item apphot : IRAF-based aperture photometry. pro: widely used. 212 con: IRAF-based, aperture photometry. (???) 206 not widely used at the time \citep{sextractor}. 213 207 214 208 \item galfit : detailed galaxy modeling. not a multi-object PSF 215 209 analysis tool. con: does not provide a PSF model, not easily 216 210 automated. very detailed results in very slow processing. only a 217 galaxy analysis program . (C. Impey)211 galaxy analysis program \citep{2002AJ....124..266P}. 218 212 219 213 \item SDSS phot : con: tightly integrated into the SDSS software 220 environment . (R. Lupton)214 environment \citep{2001ASPC..238..269L}. 221 215 222 216 \end{itemize} … … 425 419 subtracted might be useful for detection or even analysis of brighter 426 420 sources. Table~\ref{tab:mask_values} lists the 16 bit values used for 427 PS1 mask images, along with their description (see \note{Waters et428 a l. paper} for additional information).421 PS1 mask images, along with their description \citep[see][for 422 additional information]{waters2017}. 429 423 430 424 \begin{table*} … … 495 489 which the values of \code{SKY} and \code{SKY_SIGMA} are calculated for 496 490 each object in the output catalog. See also the discussion in 497 \ note{Waters et al REF}.491 \cite{waters2017}. 498 492 499 493 \subsection{Initial Object Detection} … … 580 574 \begin{figure}[htbp] 581 575 \begin{center} 582 \includegraphics[width=\hsize,angle=0,clip]{peaks.ps} 583 \caption{Illustration of peak finding and culling peaks within a 576 % \includegraphics[type=\plottype,ext=.\plotext,width=3.5in,height=2.5in,viewport=60 60 560 310]{peaks} 577 % \includegraphics[type=\plottype,ext=.\plotext,width=\hsize,height=1in,viewport=60 60 560 310,clip]{peaks} 578 \includegraphics[type=\plottype,ext=.\plotext,width=\hsize,height=0.5\hsize,viewport=60 60 560 310,clip]{peaks} 579 \caption{\label{fig:peaks} Illustration of peak finding and culling peaks within a 584 580 footprint. Insignificant peaks within the footprint of a brighter 585 581 peak are ignored in further processing. } … … 608 604 \code{FOOTPRINT_CULL_NSIGMA_DELTA} (4.0) sigmas below the peak of 609 605 interest, the peak is considered to be {\em locally insignificant} and 610 removed from the list of possible detections. In the vicinity of a 611 saturated star, the rule is somewhat more agressive as the flat-topped 612 or structured saturated top of a bright star may appear as multiple 613 peaks with highly significant cols between them. However, this is an 614 artifact of the proximity to saturation. In this regime, we require 615 the col to also be a fixed fraction (5\%) of the saturation below the 616 peak to avoid being marked as locally insignificant. 606 removed from the list of possible detections (see 607 Figure~\ref{fig:peaks}). In the vicinity of a saturated star, the 608 rule is somewhat more agressive as the flat-topped or structured 609 saturated top of a bright star may appear as multiple peaks with 610 highly significant cols between them. However, this is an artifact of 611 the proximity to saturation. In this regime, we require the col to 612 also be a fixed fraction (5\%) of the saturation below the peak to 613 avoid being marked as locally insignificant. 617 614 618 615 \subsubsection{Centroid and higher-order Moments} 616 \label{sec:moments} 619 617 620 618 \begin{figure}[htbp] 621 619 \begin{center} 622 \includegraphics[ width=\hsize,angle=0,clip]{FWHM.smooth.trend.ps1.ps}623 \caption{ Example of the biases encountered when measuring the second620 \includegraphics[type=\plottype,ext=.\plotext,width=\hsize,height=2.0\hsize,viewport=60 60 413 760]{FWHM.smooth.trend.ps1} 621 \caption{\label{fig:moments.window} Example of the biases encountered when measuring the second 624 622 moments. A simulated image was generated using the PS1 PSF 625 623 profile. Each panel corresponds to a different value of … … 656 654 signal-to-noise of the object. 657 655 658 These effects are illustrated in Figure~\ref{fig:moment .window} using656 These effects are illustrated in Figure~\ref{fig:moments.window} using 659 657 simulated data. An image was generated with a PSF model matching the 660 658 radial profile of the PS1 PSF model with a FWHM of 1.4 arcseconds. As … … 736 734 these moments. 737 735 738 The Kron radius is defined the be 2.5$\times$ the first radial moment. 739 The Kron flux is the sum of (sky-subtracted) pixel fluxes within the 740 Kron radius. We also calculate the flux in two related annular 741 apertures: the Kron inner flux is the sum of pixel values for the 742 annulus $R_1 < r < 2.5 R_1$, while the Kron outer flux is the sum of 743 pixel values for $2.5 R_1 < r < 4 R_1$. The first radial moment is 744 limited at the low and high ends by $R_{\rm min} < M_r < R_{\rm max}$ 745 where $R_{\rm min}$ is the first radial moment of the PSF stars, or 746 0.75$\times$ \code{MOMENTS_GAUSS_SIGMA} if that cannot be 747 determined. $R_{\rm max}$ is set to \code{PSF_MOMENTS_RADIUS}, the 748 size of the moments aperture. 736 The Kron radius \citep{1980ApJS...43..305K} is defined the be 737 2.5$\times$ the first radial moment. The Kron flux is the sum of 738 (sky-subtracted) pixel fluxes within the Kron radius. We also 739 calculate the flux in two related annular apertures: the Kron inner 740 flux is the sum of pixel values for the annulus $R_1 < r < 2.5 R_1$, 741 while the Kron outer flux is the sum of pixel values for $2.5 R_1 < r 742 < 4 R_1$. The first radial moment is limited at the low and high ends 743 by $R_{\rm min} < M_r < R_{\rm max}$ where $R_{\rm min}$ is the first 744 radial moment of the PSF stars, or 0.75$\times$ 745 \code{MOMENTS_GAUSS_SIGMA} if that cannot be determined. $R_{\rm 746 max}$ is set to \code{PSF_MOMENTS_RADIUS}, the size of the moments 747 aperture. 749 748 750 749 \subsection{PSF Determination} … … 906 905 \begin{figure}[htbp] 907 906 \begin{center} 908 \includegraphics[ width=\hsize,angle=0,clip]{moment.class.ps}907 \includegraphics[type=\plottype,ext=.\plotext,width=\hsize,height=\hsize,viewport=60 60 560 560]{moment.class} 909 908 \caption{\label{fig:moment.class} Illustration of PSF star selection using the FWHM derived 910 909 from the second moments in $X_{\rm ccd}$ and $Y_{\rm ccd}$ … … 919 918 \subsubsection{PSF Candidate Object Model Fits} 920 919 920 % \note{link to psLibADD} 921 921 922 All candidate PSF objects are then fitted with the selected object 922 923 model, allowing all of the parameters (PSF and independent) to vary in 923 924 the fit. PSPhot uses the Levenberg-Marquardt minimization technique 924 \note{link to psLibADD}for the non-linear fitting. Non-linear925 for the non-linear fitting. Non-linear 925 926 fitting can be very computationally intensive, particularly for if the 926 927 starting parameters are far from the minimization values. PSPhot uses … … 1012 1013 \subsubsection{PSF Model applied to detected objects} 1013 1014 1014 \note{review the discussion below}1015 % \note{review the discussion below} 1015 1016 1016 1017 Once a PSF model has been selected for an image, PSPhot attempts to 1017 1018 fit all of the detected objects, above a user-defined signal-to-noise 1018 ratio (\note{KEYWORD}) with the PSF model. For these fits, the1019 dependent parameters are fixed by the PSF model and only the 4 1020 independent object model parameters are allowed to vary in the fit. 1021 PSPhot again uses Levenberg-Marquardt minimization for the non-linear 1022 fitting. The objects are fitted in their S/N order, starting with the 1023 brightest andworking down to the user-specified limit.1019 ratio with the PSF model. For these fits, the dependent parameters 1020 are fixed by the PSF model and only the 4 independent object model 1021 parameters are allowed to vary in the fit. PSPhot again uses 1022 Levenberg-Marquardt minimization for the non-linear fitting. The 1023 objects are fitted in their S/N order, starting with the brightest and 1024 working down to the user-specified limit. 1024 1025 1025 1026 Once a solution has been achieved for an object, PSPhot attempts to … … 1108 1109 1109 1110 \subsubsection{Source Size Assessment} 1111 \label{sec:source.size} 1110 1112 1111 1113 After the PSF model has been fitted to all sources, and the Kron flux … … 1294 1296 \frac{y^2}{2\sigma_y^2} + \sigma_{\rm xy} x y $). The Pseudo-Gaussian 1295 1297 is a Taylor expansion of the Gaussian and is used by Dophot 1296 \citep{dophot}. The latter profiles are similar to the Moffat profile 1297 form \citep{moffat,buonanno}, with small differences. For the PS1 1298 GPC1 analysis, we used the \code{PS1_V1} model, which we found by 1299 experimentation to match well to the observed profiles generated by 1300 PS1. Using a fixed power-law exponent results in somewhat faster 1301 profile fitting compared to the variable power-law exponent model. 1298 \citep{1993PASP..105.1342S}. The latter profiles are similar to the 1299 Moffat profile form \citep{1969AA.....3..455M,1983AA...126..278B}, 1300 with small differences. For the PS1 GPC1 analysis, we used the 1301 \code{PS1_V1} model, which we found by experimentation to match well 1302 to the observed profiles generated by PS1. 1303 Figure~\ref{fig:radial.profiles} shows example radial profiles for 1304 moderately bright stars in fairly good (0.9 arcsec) and poor (2.2 1305 arcsec) seeing. Using a fixed power-law exponent results in somewhat 1306 faster profile fitting compared to the variable power-law exponent 1307 model. 1302 1308 1303 1309 % moffat : 1969A&A.....3..455M … … 1306 1312 \begin{figure}[htbp] 1307 1313 \begin{center} 1308 \includegraphics[ width=\hsize,angle=0,clip]{radial.profiles.ps}1309 \caption{ Radial profiles of stellar images from PS1. These two1314 \includegraphics[type=\plottype,ext=.\plotext,width=\hsize,height=\hsize,viewport=60 60 560 560]{radial.profiles} 1315 \caption{\label{fig:radial.profiles} Radial profiles of stellar images from PS1. These two 1310 1316 profiles illustrate the radial trend of the PS1 PSFs for a star 1311 1317 with FWHM 0.9 arcsec (red) and 2.2 arcsec (blue). The black line … … 1372 1378 \code{RMAX_NN}). 1373 1379 1374 \note{these profiles are not saved in PSPS}1380 % \note{these profiles are not saved in PSPS} 1375 1381 1376 1382 \subsection{Petrosian Radii and Magnitudes} 1377 1383 1378 Petrosian (REF) defined an adaptive aperture based on a ratio of 1379 surface brightnesses. The motivation is to define an aperture which 1380 can be determined for galaxies without significant biases as a 1381 function of distance. Since surface brightness in a resolved object 1382 is conserved, using a ratio of surface brightness to define a spatial 1383 scale results in a spatial scale which is constant regardless of 1384 galaxy distance. 1384 \cite{1976ApJ...209L...1P} defined an adaptive aperture based on a 1385 ratio of surface brightnesses. The motivation is to define an 1386 aperture which can be determined for galaxies without significant 1387 biases as a function of distance. Since surface brightness in a 1388 resolved object is conserved, using a ratio of surface brightness to 1389 define a spatial scale results in a spatial scale which is constant 1390 regardless of galaxy distance. 1385 1391 1386 1392 To measure the Petrosian radius and flux, we start by defining a … … 1428 1434 median) flux in the annulus is within 1 $\sigma$ of the local sky 1429 1435 level. If this limit is not reached before the slope of the flux from 1430 one annulus to the next is less tha t \note{SOMETHING,1431 psphotRadialProfileWings.c}, then the annulus at which the slope1432 reaches this limit is used to define the sky radius. These values are 1433 saved in the output smf / cmf files, but not sent to the PSPS. The1434 sky radius value is used below in thecalculation of the kron magnitude.1436 one annulus to the next is less than a user-defined limit, then the 1437 annulus at which the slope reaches this limit is used to define the 1438 sky radius. These values are saved in the output smf / cmf files, but 1439 not sent to the PSPS. The sky radius value is used below in the 1440 calculation of the kron magnitude. 1435 1441 1436 1442 \subsection{Kron Magnitudes} 1437 1443 1438 Preliminary Kron radius and flux values are calculated soon after1439 sources are detected (\ref{sec:moments}). However, these preliminary 1440 values are not accurate due to the window-functions applied. After 1441 sources have been characterized and the PSF model is well-determined, 1442 the Kron parameters are re-calculated more carefully. In this version1443 of the calculation, the image is first smoothed by Gaussian kernel 1444 with $\sigma = 1.7$ pixels, corresponding to a FWHM of 1.0\arcsec in 1445 the PS1 stack images. Next, the Kron radius is determined in an 1446 iterative process: the first radial moment is measured using the pixels in an 1447 aperture 6$\times$ the first radial moment from the previous 1448 iteration. On the first iteration, the sky radius is used in place of 1449 the first radial moment. By default, 2 iterations are performed. The 1450 Kron radius is defined the be 2.5$\times$ the first radial moment. 1451 The Kron flux is the sum of pixel fluxes within the Kron radius. We 1452 also calculate the flux in two related annular apertures: the Kron1453 inner flux is the sum of pixel values for the annulus $R_1 < r < 2.5 1454 R_1$, while the Kron outer flux is the sum of pixel values for $2.5 1455 R_1 < r < 4 R_1$. 1444 Preliminary Kron radius and flux values \citep{1980ApJS...43..305K} 1445 are calculated soon after sources are detected (Section~\ref{sec:moments}). 1446 However, these preliminary values are not accurate due to the 1447 window-functions applied. After sources have been characterized and 1448 the PSF model is well-determined, the Kron parameters are 1449 re-calculated more carefully. In this version of the calculation, the 1450 image is first smoothed by Gaussian kernel with $\sigma = 1.7$ pixels, 1451 corresponding to a FWHM of 1.0\arcsec\ in the PS1 stack images. Next, 1452 the Kron radius is determined in an iterative process: the first 1453 radial moment is measured using the pixels in an aperture 6$\times$ 1454 the first radial moment from the previous iteration. On the first 1455 iteration, the sky radius is used in place of the first radial moment. 1456 By default, 2 iterations are performed. The Kron radius is defined 1457 the be 2.5$\times$ the first radial moment. The Kron flux is the sum 1458 of pixel fluxes within the Kron radius. We also calculate the flux in 1459 two related annular apertures: the Kron inner flux is the sum of pixel 1460 values for the annulus $R_1 < r < 2.5 R_1$, while the Kron outer flux 1461 is the sum of pixel values for $2.5 R_1 < r < 4 R_1$. 1456 1462 1457 1463 Two details in the calculation above should be noted. First, for … … 1460 1466 calculations. The window used for the calculations is constrained to 1461 1467 be at least the size of the aperture based on the PSF stars 1462 ( \ref{sec:moments}). At the other extreme, noise may make the radius1468 (Section~\ref{sec:moments}). At the other extreme, noise may make the radius 1463 1469 grow excessively, resulting in an unrealistically low effective 1464 1470 surface brightness. The aperture is constrained to be less than a … … 1471 1477 opposites sides of the central pixel are considered together. The 1472 1478 geometric mean of the two fluxes is used to replace the flux values. 1473 If the object has 180\degree symmetry, this operation has no impact.1479 If the object has 180\degree\ symmetry, this operation has no impact. 1474 1480 However, if one of the two pixels is unusually high, the value will be 1475 1481 surpressed by the matched pixel on the other side. This trick has the … … 1480 1486 1481 1487 In the galaxy model fittting stage, sources which meet certain 1482 criteria are fitted with analytical models for galaxies. The 1483 three models used for the PV3 analysis have similar form: 1488 criteria are fitted with analytical models for galaxies. Three 1489 traditional analytical galaxy models are implemented in \code{psphot} 1490 and used in the PV3 analysis: 1484 1491 \begin{itemize} 1485 1492 \item Exponential profile : $f = I_0 e^{-\rho}$ 1486 \item DeVaucouleur profile : $f = I_0 e^{-\rho^{1/4}}$1487 \item Sersic : $f = I_0 e^{-\rho^{1/n}}$1493 \item DeVaucouleur profile \citep{1948AnAp...11..247D}: $f = I_0 e^{-\rho^{1/4}}$ 1494 \item Sersic \citep{1963BAAA....6...41S} : $f = I_0 e^{-\rho^{1/n}}$ 1488 1495 \end{itemize} 1489 1496 where $\rho$ is a normalized radial term: $\rho = … … 1500 1507 our best guess for the PSF model at the location of the galaxy. For 1501 1508 the PV3 analysis, all sources detected in the 'bright source' analysis 1502 step ($S/N > 20 ?$) were fitted with all three galaxy models, unless 1503 (a) the morphological test identified the source as a likely cosmic 1504 ray (\ref{CR}) or (b) the peak of the PSF profile was above the 1505 saturation limit for the chip \note{(link to the handling of 1506 saturation in detrend paper)}. Sources in the denser portions of 1507 the Galactic plane and bulge were not included in the analysis. This 1508 restriction limited the total time spent on the galaxy modeling 1509 analysis at the expense of galaxy photometry in the plane (though Kron 1510 photometry is available for those objects). The Galactic Plane region 1511 was defined by $|b| > b_{\rm min}$ where $b_{\rm min} = b_0 + r_b 1512 e^{\frac{-l^2}{2 \sigma_b^2}}$. For the PV3 analysis, $b_0 = XX$, 1513 $r_b = XX$, $\sigma_b = XX$. 1509 step ($S/N > 20$) were fitted with all three galaxy models, unless (a) 1510 the morphological test identified the source as a likely cosmic ray 1511 (Section~\ref{sec:source.size}) or (b) the peak of the PSF profile was 1512 above the saturation limit for the chip \citep[see the discussion in 1513 ][ regarding the masking of saturated pixels]{waters2017}. Sources in 1514 the denser portions of the Galactic plane and bulge were not included 1515 in the analysis. This restriction limited the total time spent on the 1516 galaxy modeling analysis at the expense of galaxy photometry in the 1517 plane (though Kron photometry is available for those objects). The 1518 Galactic Plane region was defined by $|b| > b_{\rm min}$ where $b_{\rm 1519 min} = b_0 + r_b e^{\frac{-l^2}{2 \sigma_b^2}}$. For the PV3 1520 analysis, $b_0 = $20\degree, $r_b = $15\degree, $\sigma_b = $50\degree. 1521 1522 % \note{need a discussion of the detector saturation behavior 1523 1524 % \note{more detail below?} 1514 1525 1515 1526 Before the non-linear fitting may be performed, it is necessary to … … 1521 1532 ($R_{xx}$, $R_{yy}$ , $R_{xy}$) values; it was found that such a guess 1522 1533 tended to be too small and resulted in more iterations rather than 1523 fewer. \note{more detail on that?}The 1st radial moment (see1534 fewer. The 1st radial moment (see 1524 1535 \ref{sec:moments}) is used to estimate the effective radius of the 1525 1536 model based on the results of Graham \& Driver (2005, Table 1). They … … 1606 1617 For the small size of the PSF model used to convolve the galaxy model 1607 1618 images, it was found that this direct convolution was faster than 1608 using an FFT-based convolution \note{(examples?)} 1619 using an FFT-based convolution. 1620 1621 % \note{(examples?)} 1609 1622 1610 1623 For the Exponential and DeVaucouleur fits, all parameters are fitted … … 1656 1669 for all 5 filters. In this analysis, the best model for each object 1657 1670 is subtracted from the image pixels for all objects excluding the 1658 object in consideration. The 'best model' is \note{TBD}. 1671 object in consideration. The 'best model' is determined based on the 1672 minimum $\chi^2$ value for the model fits. 1673 1674 % \note{more discussion of the selection of the best model}. 1659 1675 1660 1676 In addition to the raw radial apertures, the stack images are each … … 1667 1683 procedure is then repeated with a target FWHM of 8\arcsec. 1668 1684 1669 \note{is the first convolution done with the Alard-Lupton technique?} 1685 % \note{is the first convolution done with the Alard-Lupton technique?} 1686 1687 \acknowledgments 1688 1689 The Pan-STARRS1 Surveys (PS1) have been made possible through 1690 contributions of the Institute for Astronomy, the University of 1691 Hawaii, the Pan-STARRS Project Office, the Max-Planck Society and its 1692 participating institutes, the Max Planck Institute for Astronomy, 1693 Heidelberg and the Max Planck Institute for Extraterrestrial Physics, 1694 Garching, The Johns Hopkins University, Durham University, the 1695 University of Edinburgh, Queen's University Belfast, the 1696 Harvard-Smithsonian Center for Astrophysics, the Las Cumbres 1697 Observatory Global Telescope Network Incorporated, the National 1698 Central University of Taiwan, the Space Telescope Science Institute, 1699 the National Aeronautics and Space Administration under Grant 1700 No. NNX08AR22G issued through the Planetary Science Division of the 1701 NASA Science Mission Directorate, the National Science Foundation 1702 under Grant No. AST-1238877, the University of Maryland, and Eotvos 1703 Lorand University (ELTE) and the Los Alamos National Laboratory. 1704 1705 \bibliographystyle{apj} 1706 % \bibliography{lib}{} 1707 \input{analysis.bbl} 1708 1709 \end{document} 1670 1710 1671 1711 \subsection{Forced Photometry : PSFs} … … 1675 1715 \subsection{Output Options} 1676 1716 1677 \note{need to discuss tests}1678 1679 \note{need to discuss failings and holes}1717 % \note{need to discuss tests} 1718 1719 % \note{need to discuss failings and holes} 1680 1720 1681 1721 \section{Alternative Scenarios} … … 1759 1799 \end{verbatim} 1760 1800 1761 \bibliographystyle{apj}1762 \bibliography{lib}{}1763 1764 \end{document}1765 1766 1801 Figures Needed for this document: 1767 1802 … … 1791 1826 * put engineering docs (psLib, psModules) on public website 1792 1827 1793 % example of 2 image figure:1794 \begin{figure}1795 \centering1796 \begin{minipage}{0.45\hsize}1797 \includegraphics[width=0.9\hsize,angle=0,clip]{images/o5677g0123o_XY11_bt_trail.png}1798 \end{minipage}%1799 \begin{minipage}{0.45\hsize}1800 \includegraphics[width=0.9\hsize,angle=0,clip]{images/o5677g0124o_XY11_bt_trail.png}1801 \end{minipage}1802 \caption{Example of a profile cut along the y-axis through a bright star on exposure o5677g0123o OTA11 in cell xy60 (left panel) and on the subsequent exposure o5677g0124o (right panel). In both figures, the green points show the image corrected with all appropriate detrending steps, but without burntool applied, illustrating the amplitude of the persistence trails. The red points show the same data after the burntool correction, which reduces the impact of these features. Both exposures are in the \gps{} filter with exposure times of 43s}1803 \end{figure}1804
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