IPP Software Navigation Tools IPP Links Communication Pan-STARRS Links

Ignore:
Timestamp:
Dec 15, 2016, 3:48:40 PM (10 years ago)
Author:
eugene
Message:

make makefile system a little more flexible; make tarballs automatically

File:
1 edited

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  • trunk/doc/release.2015/ps1.datasystem/datasystem.tex

    r39865 r39868  
    1 % \documentclass[iop,floatfix]{emulateapj}
     1\documentclass[iop,floatfix]{emulateapj}
    22% \documentclass[iop,floatfix,onecolumn]{emulateapj}
    3 \documentclass[12pt,preprint]{aastex}
     3% \documentclass[12pt,preprint]{aastex}
    44% \pdfoutput=1
    55
     
    2929% list and (2) re-order the list at the bottom (and comment-out as needed)
    3030\def\IfA{1}
    31 \def\CfA{2}
    32 \def\MPIA{3}
     31\def\LSST{2}
    3332\def\Princeton{3}
    34 \def\USNO{4}
    35 \def\JHU{1}
     33\def\DUR{4}
     34\def\CfA{5}
    3635
    3736% This example has a first author from UH:
    3837\author{
    3938Eugene A. Magnier,\altaffilmark{\IfA}
    40 IPP Team,
     39K.~C. Chambers,\altaffilmark{\IfA}
     40H.~A. Flewelling,\altaffilmark{\IfA}
     41J.~C. Hoblitt,\altaffilmark{\LSST}
     42M. E. Huber,\altaffilmark{\IfA}
     43% R. H. Lupton,\altaffilmark{\Princeton}
     44P.~A. Price,\altaffilmark{\Princeton}
     45W.~E. Sweeney,\altaffilmark{\IfA}
     46C. Z. Waters,\altaffilmark{\IfA}
    4147%PS Builder List
     48L. Denneau,\altaffilmark{\IfA}
     49P. Draper,\altaffilmark{\DUR}
     50K. W. Hodapp,\altaffilmark{\IfA}
     51R. Jedicke,\altaffilmark{\IfA}
     52R.-P. Kudritzki,\altaffilmark{\IfA}
     53N. Metcalfe,\altaffilmark{\DUR}
     54C.~W. Stubbs,\altaffilmark{\CfA}
    4255% W.~S. Burgett,\altaffilmark{\IfA}
    43 % K.~C. Chambers,\altaffilmark{\IfA}
    44 % L. Denneau,\altaffilmark{\IfA}
    45 % P. Draper,\altaffilmark{\DUR}
    46 % H.~A. Flewelling,\altaffilmark{\IfA}
    4756% T. Grav,\altaffilmark{\IfA}
    4857% J. N. Heasley,\altaffilmark{\IfA}
    49 % K. W. Hodapp,\altaffilmark{\IfA}
    50 % M. E. Huber,\altaffilmark{\IfA}
    51 % R. Jedicke,\altaffilmark{\IfA}
    5258% N. Kaiser,\altaffilmark{\IfA}
    53 % R.-P. Kudritzki,\altaffilmark{\IfA}
    5459% G. A. Luppino,\altaffilmark{\IfA}
    55 % R. H. Lupton,\altaffilmark{\Princeton}
    56 % E. A. Magnier,\altaffilmark{\IfA}
    57 % N. Metcalfe,\altaffilmark{\DUH}
    5860% D. G. Monet,\altaffilmark{\USNO}
    5961% J.~S. Morgan,\altaffilmark{\IfA}
    6062% P. M. Onaka,\altaffilmark{\IfA}
    61 % P.~A. Price,\altaffilmark{\Princeton}
    62 % C.~W. Stubbs,\altaffilmark{\CfA}
    63 % W.~E. Sweeney,\altaffilmark{\IfA}
    6463% J.~L. Tonry, \altaffilmark{\IfA}
    65 % R. J. Wainscoat,\altaffilmark{\IfA} and
    66 % C. Z. Waters,\altaffilmark{\IfA}
     64R. J. Wainscoat\altaffilmark{\IfA}
    6765} % this bracket terminates author list
    6866
    6967% The ordering here should be sequential, matching the sequence in the list of authors:
    7068\altaffiltext{\IfA}{Institute for Astronomy, University of Hawaii, 2680 Woodlawn Drive, Honolulu HI 96822}
    71 % \altaffiltext{\CfA}{Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, MA 02138}
     69\altaffiltext{\LSST}{LSST Project Management Office, Tucson, AZ, U.S.A}
     70\altaffiltext{\Princeton}{Department of Astrophysical Sciences, Princeton University, Princeton, NJ 08544, USA}
     71\altaffiltext{\DUR}{Department of Physics, Durham University, South Road, Durham DH1 3LE, UK}
     72\altaffiltext{\CfA}{Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, MA 02138}
    7273% \altaffiltext{\Princeton}{Department of Astrophysical Sciences, Princeton University, Princeton, NJ 08544, USA}
    7374% \altaffiltext{\USNO}{US Naval Observatory, Flagstaff Station, Flagstaff, AZ 86001, USA}
     
    7677\begin{abstract}
    7778
    78 Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vestibulum
    79 bibendum nisi id tristique posuere. Duis eu mollis nulla. Maecenas est
    80 turpis, mattis tempor urna vitae, placerat rhoncus sem. Lorem ipsum
    81 dolor sit amet, consectetur adipiscing elit. Sed quis velit
    82 nisl. Aliquam erat volutpat. Cras lacinia, nisl tristique auctor
    83 molestie, dolor nulla rhoncus purus, ac accumsan nunc nunc ac
    84 nibh. Maecenas vitae mollis mauris. Ut sollicitudin pulvinar purus,
    85 eget luctus lorem tincidunt vitae. Vestibulum eu mattis neque. Nulla
    86 in tortor id urna dapibus gravida a vel leo.
     79The Pan-STARRS Image Processing Pipeline performs the processing
     80needed to downloaded, archive, and process all images obtained by the
     81Pan-STARRS telescopes.  This article describes the overall data
     82analysis system.
    8783
    8884\end{abstract}
     
    9187\keywords{Surveys:\PSONE }
    9288
    93 % \section{INTRODUCTION}\label{sec:intro}
     89\section{INTRODUCTION}\label{sec:intro}
     90
     91This is the second in a series of seven papers describing the
     92Pan-STARRS1 Surveys, the data reduction techiques and the resulting
     93data products.  This paper (Paper II) describes how the various data
     94processing stages are organised and implemented in the Imaging
     95Processing Pipeline (IPP), including details of the the processing
     96database which is a critical element in the IPP infrastructure .
     97
     98%Chambers et al. 2017 (Paper I)
     99%The Pan-STARRS\,1 Surveys
     100\citet[][Paper I]{chambers2017}
     101provides an overview of the Pan-STARRS System, the design and
     102execution of the Surveys, the resulting image and catalog data
     103products, a discussion of the overall data quality and basic
     104characteristics, and a brief summary of important results.
     105
     106%Magnier et al. 2017 (Paper II)
     107%Pan-STARRS Data Processing Stages
     108%\citet[][Paper II]{magnier2017c}
     109%describes how the various data processing stages are organised and implemented
     110%in the Imaging Processing Pipeline (IPP), including details of the
     111%the processing database which is a critical element in the IPP infrastructure .
     112
     113%Waters et al. 2017 (Paper III)
     114%Pan-STARRS Pixel Processing : Detrending, Warping, Stacking
     115\citet[][Paper III]{waters2017}
     116describes the details of the pixel processing algorithms, including detrending, warping, and adding (to create stacked images) and subtracting (to create difference images) and resulting image products and their properties.
     117
     118
     119%Magnier et al. 2017 (Paper IV)
     120%Pan-STARRS Pixel Analysis : Source Detection
     121\citet[][Paper IV]{magnier2017a}
     122describes the details of the source detection and photometry, including point-spread-function and extended source fitting models, and the techniques for ``forced" photometry measurements.
     123
     124%Magnier et al. 2017 (Paper V)
     125%Pan-STARRS Photometric and Astrometric Calibration
     126\citet[][Paper V]{magnier2017b}
     127describes the final calibration process, and the resulting photometric and astrometric quality. 
     128
     129
     130%Flewelling et al. 2017 (Paper VI)
     131%Pan-STARRS 1 Database and Data Products
     132\citet[][Paper VI]{flewelling2017}
     133describes  the details of the resulting catalog data and its organization in the Pan-STARRS database.
     134%
     135%
     136\citet[][Paper VII]{huber2017}
     137%Huber et al. 2017 (Paper VII)
     138describes the Medium Deep Survey in detail, including the unique issues and data products specific to that survey. The Medium Deep Survey is not part of Data Release 1. (DR1)
     139
     140%
     141The Pan-STARRS1 filters and photometric system have already been
     142described in detail in \cite{2012ApJ...750...99T}.
     143
     144{\color{red} {\em Note: These papers are being placed on arXiv.org to
     145    provide crucial support information at the time of the public
     146    release of Data Release 1 (DR1). We expect the arXiv versions to
     147    be updated prior to submission to the Astrophysical Journal in
     148    January 2017. Feedback and suggestions for additional information
     149    from early users of the data products are welcome during the
     150    submission and refereeing process.}}
    94151
    95152\section{IPP Software Subsystems}
     
    852909\subsection{UH Cray Cluster}
    853910
     911\acknowledgments
     912
     913The Pan-STARRS1 Surveys (PS1) have been made possible through
     914contributions of the Institute for Astronomy, the University of
     915Hawaii, the Pan-STARRS Project Office, the Max-Planck Society and its
     916participating institutes, the Max Planck Institute for Astronomy,
     917Heidelberg and the Max Planck Institute for Extraterrestrial Physics,
     918Garching, The Johns Hopkins University, Durham University, the
     919University of Edinburgh, Queen's University Belfast, the
     920Harvard-Smithsonian Center for Astrophysics, the Las Cumbres
     921Observatory Global Telescope Network Incorporated, the National
     922Central University of Taiwan, the Space Telescope Science Institute,
     923the National Aeronautics and Space Administration under Grant
     924No. NNX08AR22G issued through the Planetary Science Division of the
     925NASA Science Mission Directorate, the National Science Foundation
     926under Grant No. AST-1238877, the University of Maryland, and Eotvos
     927Lorand University (ELTE) and the Los Alamos National Laboratory.
     928
     929\bibliographystyle{apj}
     930% \bibliography{lib}{}
     931\input{datasystem.bbl}
     932
    854933\end{document}
    855934
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