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Changeset 40078


Ignore:
Timestamp:
Jul 5, 2017, 5:19:23 PM (9 years ago)
Author:
eugene
Message:

bigger test

File:
1 edited

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  • trunk/doc/release.2015/ps1.analysis/test.tex

    r40070 r40078  
    11\documentclass[iop,floatfix]{emulateapj}
     2%\documentclass[preprint2]{aastex}
    23\RequirePackage{color} % this is required for {code}
    34\RequirePackage{code}
    45\input{astro.sty}
    5 
    6 \usepackage[T1]{fontenc}% (2) specify encoding
    76
    87% Pick a terse version of the title here;
     
    4241Big test here.
    4342
    44 Testing \code{code_foo}.
    45 
    46 Testing \IPPstage{chip stage_test}.
    47 
    48 Testing \IPPdbtable{rawImage_test}.
    49 
    50 Testing \IPPdbcolumn{rawImage.datetime_test}.
    51 
     43Testing \code{\code_foo}.
     44
     45Testing \IPPstage{\IPPstage : chip stage_test}.
     46
     47Testing \IPPdbtable{\IPPdbtable : rawImage_test}.
     48
     49Testing \IPPdbcolumn{\IPPdbcolumn : rawImage.datetime_test}.
     50
     51<<<<<<< .mine
     52Testing \IPPmisc{\IPPmisc : another_check}.
     53=======
    5254Testing \IPPprog{pantasks_client}.
    5355
     
    6769
    6870% Testing \url{http://by.source}
    69 
    70 % Testing \foocode{http://eugene@ifa.source}
     71>>>>>>> .r40075
     72
     73Testing \url{http://by.source}
     74
     75Testing \url{http://eugene@ifa.source}
    7176
    7277\section{FOOBAR}\label{sec:intro}
    7378
     79
    7480% Testing \foocode{AM_I_GOOD}
    7581
     82Over 3 billion astronomical sources have been detected in the more
     83than 22 million orthogonal transfer CCD images obtained as part of the
     84Pan-STARRS\,1 $3\pi$ survey.  Over 85 billion instances of those
     85sources have been automatically detected and characterized by the
     86Pan-STARRS Image Processing Pipeline photometry software,
     87\code{psphot}.  This fast, automatic, and reliable software was
     88developed for the Pan-STARRS project, but is easily adaptable to
     89images from other telescopes.  We describe the analysis of the
     90astronomical sources by \code{psphot} in general as well as for the
     91specific case of the 3rd processing version used for the first public
     92release of the Pan-STARRS $3\pi$ survey data.
     93
     94Over 3 billion astronomical sources have been detected in the more
     95than 22 million orthogonal transfer CCD images obtained as part of the
     96Pan-STARRS\,1 $3\pi$ survey.  Over 85 billion instances of those
     97sources have been automatically detected and characterized by the
     98Pan-STARRS Image Processing Pipeline photometry software,
     99\code{psphot}.  This fast, automatic, and reliable software was
     100developed for the Pan-STARRS project, but is easily adaptable to
     101images from other telescopes.  We describe the analysis of the
     102astronomical sources by \code{psphot} in general as well as for the
     103specific case of the 3rd processing version used for the first public
     104release of the Pan-STARRS $3\pi$ survey data.
     105
     106read \cite[][Paper I]{chambers2017} today.
     107
     108Over 3 billion astronomical sources have been detected in the more
     109than 22 million orthogonal transfer CCD images obtained as part of the
     110Pan-STARRS\,1 $3\pi$ survey.  Over 85 billion instances of those
     111sources have been automatically detected and characterized by the
     112Pan-STARRS Image Processing Pipeline photometry software,
     113\code{psphot}.  This fast, automatic, and reliable software was
     114developed for the Pan-STARRS project, but is easily adaptable to
     115images from other telescopes.  We describe the analysis of the
     116astronomical sources by \code{psphot} in general as well as for the
     117specific case of the 3rd processing version used for the first public
     118release of the Pan-STARRS $3\pi$ survey data.
     119
     120Over 3 billion astronomical sources have been detected in the more
     121than 22 million orthogonal transfer CCD images obtained as part of the
     122Pan-STARRS\,1 $3\pi$ survey.  Over 85 billion instances of those
     123sources have been automatically detected and characterized by the
     124Pan-STARRS Image Processing Pipeline photometry software,
     125\code{psphot}.  This fast, automatic, and reliable software was
     126developed for the Pan-STARRS project, but is easily adaptable to
     127images from other telescopes.  We describe the analysis of the
     128astronomical sources by \code{psphot} in general as well as for the
     129specific case of the 3rd processing version used for the first public
     130release of the Pan-STARRS $3\pi$ survey data.
     131
     132Over 3 billion astronomical sources have been detected in the more
     133than 22 million orthogonal transfer CCD images obtained as part of the
     134Pan-STARRS\,1 $3\pi$ survey.  Over 85 billion instances of those
     135sources have been automatically detected and characterized by the
     136Pan-STARRS Image Processing Pipeline photometry software,
     137\code{psphot}.  This fast, automatic, and reliable software was
     138developed for the Pan-STARRS project, but is easily adaptable to
     139images from other telescopes.  We describe the analysis of the
     140astronomical sources by \code{psphot} in general as well as for the
     141specific case of the 3rd processing version used for the first public
     142release of the Pan-STARRS $3\pi$ survey data.
     143
     144Over 3 billion astronomical sources have been detected in the more
     145than 22 million orthogonal transfer CCD images obtained as part of the
     146Pan-STARRS\,1 $3\pi$ survey.  Over 85 billion instances of those
     147sources have been automatically detected and characterized by the
     148Pan-STARRS Image Processing Pipeline photometry software,
     149\code{psphot}.  This fast, automatic, and reliable software was
     150developed for the Pan-STARRS project, but is easily adaptable to
     151images from other telescopes.  We describe the analysis of the
     152astronomical sources by \code{psphot} in general as well as for the
     153specific case of the 3rd processing version used for the first public
     154release of the Pan-STARRS $3\pi$ survey data.
     155
     156Over 3 billion astronomical sources have been detected in the more
     157than 22 million orthogonal transfer CCD images obtained as part of the
     158Pan-STARRS\,1 $3\pi$ survey.  Over 85 billion instances of those
     159sources have been automatically detected and characterized by the
     160Pan-STARRS Image Processing Pipeline photometry software,
     161\code{psphot}.  This fast, automatic, and reliable software was
     162developed for the Pan-STARRS project, but is easily adaptable to
     163images from other telescopes.  We describe the analysis of the
     164astronomical sources by \code{psphot} in general as well as for the
     165specific case of the 3rd processing version used for the first public
     166release of the Pan-STARRS $3\pi$ survey data.
     167
     168Over 3 billion astronomical sources have been detected in the more
     169than 22 million orthogonal transfer CCD images obtained as part of the
     170Pan-STARRS\,1 $3\pi$ survey.  Over 85 billion instances of those
     171sources have been automatically detected and characterized by the
     172Pan-STARRS Image Processing Pipeline photometry software,
     173\code{psphot}.  This fast, automatic, and reliable software was
     174developed for the Pan-STARRS project, but is easily adaptable to
     175images from other telescopes.  We describe the analysis of the
     176astronomical sources by \code{psphot} in general as well as for the
     177specific case of the 3rd processing version used for the first public
     178release of the Pan-STARRS $3\pi$ survey data.
     179
     180Over 3 billion astronomical sources have been detected in the more
     181than 22 million orthogonal transfer CCD images obtained as part of the
     182Pan-STARRS\,1 $3\pi$ survey.  Over 85 billion instances of those
     183sources have been automatically detected and characterized by the
     184Pan-STARRS Image Processing Pipeline photometry software,
     185\code{psphot}.  This fast, automatic, and reliable software was
     186developed for the Pan-STARRS project, but is easily adaptable to
     187images from other telescopes.  We describe the analysis of the
     188astronomical sources by \code{psphot} in general as well as for the
     189specific case of the 3rd processing version used for the first public
     190release of the Pan-STARRS $3\pi$ survey data.
     191
     192Over 3 billion astronomical sources have been detected in the more
     193than 22 million orthogonal transfer CCD images obtained as part of the
     194Pan-STARRS\,1 $3\pi$ survey.  Over 85 billion instances of those
     195sources have been automatically detected and characterized by the
     196Pan-STARRS Image Processing Pipeline photometry software,
     197\code{psphot}.  This fast, automatic, and reliable software was
     198developed for the Pan-STARRS project, but is easily adaptable to
     199images from other telescopes.  We describe the analysis of the
     200astronomical sources by \code{psphot} in general as well as for the
     201specific case of the 3rd processing version used for the first public
     202release of the Pan-STARRS $3\pi$ survey data.
     203
     204Over 3 billion astronomical sources have been detected in the more
     205than 22 million orthogonal transfer CCD images obtained as part of the
     206Pan-STARRS\,1 $3\pi$ survey.  Over 85 billion instances of those
     207sources have been automatically detected and characterized by the
     208Pan-STARRS Image Processing Pipeline photometry software,
     209\code{psphot}.  This fast, automatic, and reliable software was
     210developed for the Pan-STARRS project, but is easily adaptable to
     211images from other telescopes.  We describe the analysis of the
     212astronomical sources by \code{psphot} in general as well as for the
     213specific case of the 3rd processing version used for the first public
     214release of the Pan-STARRS $3\pi$ survey data.
     215
     216Over 3 billion astronomical sources have been detected in the more
     217than 22 million orthogonal transfer CCD images obtained as part of the
     218Pan-STARRS\,1 $3\pi$ survey.  Over 85 billion instances of those
     219sources have been automatically detected and characterized by the
     220Pan-STARRS Image Processing Pipeline photometry software,
     221\code{psphot}.  This fast, automatic, and reliable software was
     222developed for the Pan-STARRS project, but is easily adaptable to
     223images from other telescopes.  We describe the analysis of the
     224astronomical sources by \code{psphot} in general as well as for the
     225specific case of the 3rd processing version used for the first public
     226release of the Pan-STARRS $3\pi$ survey data.
     227
     228Over 3 billion astronomical sources have been detected in the more
     229than 22 million orthogonal transfer CCD images obtained as part of the
     230Pan-STARRS\,1 $3\pi$ survey.  Over 85 billion instances of those
     231sources have been automatically detected and characterized by the
     232Pan-STARRS Image Processing Pipeline photometry software,
     233\code{psphot}.  This fast, automatic, and reliable software was
     234developed for the Pan-STARRS project, but is easily adaptable to
     235images from other telescopes.  We describe the analysis of the
     236astronomical sources by \code{psphot} in general as well as for the
     237specific case of the 3rd processing version used for the first public
     238release of the Pan-STARRS $3\pi$ survey data.
     239
     240\bibliographystyle{apj}
     241\bibliography{lib}{}
     242
    76243\end{document}
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