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Changeset 40321 for trunk


Ignore:
Timestamp:
Jan 24, 2018, 4:05:33 PM (8 years ago)
Author:
eugene
Message:

updates for revision 2

Location:
trunk/doc/release.2015/systematics.20140411
Files:
1 added
2 edited

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  • trunk/doc/release.2015/systematics.20140411/Makefile

    r40310 r40321  
    33# WARNING : pdflatex does not do .ps
    44#
    5 DO_PDFLATEX = 0
    6 DO_BIBTEX = 0
     5DO_PDFLATEX = 1
     6DO_BIBTEX = 1
    77
    88help:
  • trunk/doc/release.2015/systematics.20140411/diffusion.tex

    r40311 r40321  
    1414% \RequirePackage{code}
    1515% \RequirePackage{pbox}
    16 \input{magnier.tex}
     16% \input{magnier.tex}
     17\input{astro.sty}
    1718
    1819%\newcommand\oldtext[1]{\color{red}#1}
     
    3233%\def\plotmode{bw}
    3334
    34 %\def\plotext{pdf}
    35 \def\plotext{eps}
     35\def\plotext{pdf}
     36%\def\plotext{eps}
    3637
    3738%\def\picdir{/home/eugene/chipresid.20140404}
    3839%\def\picdir{/data/kukui.2/eugene/chipresid.20140404}
    39 %\def\picdir{pics} %%% need to set this for local processing
    40 \def\picdir{.} %%% need to set this for the zip archive
     40\def\picdir{pics} %%% need to set this for local processing
     41%\def\picdir{.} %%% need to set this for the zip archive
    4142
    4243% Pick a terse version of the title here;
     
    467468  the median deviation for measurements at the given chip pixel
    468469  location compared with the average photometry for the given
    469   object.  Fringing dominates the \yps-band signal, saturating the
    470   color scale to black or white in areas.} \label{fig:psfmags.by.filter}}
     470  object.  Fringing dominates the \yps-band signal.} \label{fig:psfmags.by.filter}}
    471471\end{center}
    472472\end{figure*}
     
    575575\oldtext{The per-pixel standard deviations of these plots are listed
    576576  in Table~1.}  The signal-to-noise of these structures is again
    577 somewhat weak, but the pattern is clearly visible in \oldtext{these figures} \newtext{Figure~\ref{fig:all.effects.rband} (middle-left)}.
     577somewhat weak, but the pattern is clearly visible in \oldtext{these
     578  figures} \newtext{Figure~\ref{fig:all.effects.rband} (middle-left)}.
    578579
    579580\subsection{Flat-field Structures}
     581\label{sec:flat-fields}
    580582
    581583% All Effects in r-band
     
    613615
    614616% 2012ApJ...750...99T = Tonry et al PS1 phot system
    615 \oldtext{Figure~4} \newtext{Figure~\ref{fig:all.effects.rband} (middle-right)}
    616 shows the high-spatial-frequency
    617 structures in the \newtext{\rps-band} flat-field\oldtext{ images}.  For this measurement, we have
    618 used a set of monochromatic flat-field images obtained with a tunable
    619 laser.  The laser is used to illuminate our flat-field screen which is
    620 then observed by the PS1 telescope.  These flat-field images were
    621 obtained 2011 Feb 09 as part of a campaign to study the PS1 system
    622 response \citep{2012ApJ...750...99T}.  Flats were obtain in a set of
    623 4nm steps sampling the spectral response curve of each filter.  To
    624 enhance the signal-to-noise, we have median-combined a set of 6 flats
    625 at the wavelength center of the corresponding filter.
     617\oldtext{Figure~4} \newtext{Figure~\ref{fig:all.effects.rband}
     618  (middle-right)} shows the high-spatial-frequency structures in the
     619\newtext{\rps-band} flat-field\oldtext{ images}.  For this
     620measurement, we have used a set of monochromatic flat-field images
     621obtained with a tunable laser.  The laser is used to illuminate our
     622flat-field screen which is then observed by the PS1 telescope.  These
     623flat-field images were obtained 2011 Feb 09 as part of a campaign to
     624study the PS1 system response \citep{2012ApJ...750...99T}.  Flats were
     625obtain in a set of 4nm steps sampling the spectral response curve of
     626each filter.  To enhance the signal-to-noise, we have median-combined
     627a set of 6 flats at the wavelength center of the corresponding filter.
     628\newtext{Note that the flat-field images used for the science analysis
     629  are made from broad-band dome flat, not these monochromatic flats.
     630  The monochromatic flats were used here to avoid smearing out any
     631  effects which changed as a function of wavelength.}
    626632
    627633In order to mask pixels which do not flatten well, we generate a copy
     
    632638pixels associated with each superpixel. 
    633639
    634 \oldtext{Figure~\ref{fig:flats.by.filter} shows the superpixel images for the
    635 flat-fields in the five filters. These flat-field images are} \newtext{The flat-field image is}
    636 displayed as fractional deviations relative to the median of the flat-field
    637 image and can thus be compared to the magnitude residuals.  When
    638 flattening an image, \oldtext{these flat-fields} \newtext{the flat-field image} would be divided into the flux
    639 of the raw image.  The residuals are thus defined in the sense that a
    640 positive feature in \oldtext{these flats} \newtext{the flat} which does {\em not} represent a real
    641 quantum efficiency deviation would induce a {\em reduction} in the
    642 measured flux in those pixels, and thus a {\em negative} deviation in
    643 $\delta m_{psf}$ as defined above.  The dynamic range of the color
    644 scale in \oldtext{these plots} \newtext{this plot} is -0.01 to +0.01.  The tree-ring pattern is
    645 strong in the (\gps,\rps,\ips) images, but nearly swamped by fringing
    646 in \zps, and completely lost to fringing in \yps.  A diagonal banding
    647 pattern is also seen in \gps\ and \rps: this feature is thought to be due to
    648 the lithography process used to generate the CCD.  A blob can also
     640\oldtext{Figure~\ref{fig:flats.by.filter} shows the superpixel images
     641  for the flat-fields in the five filters. These flat-field images
     642  are} \newtext{The flat-field image is} displayed as fractional
     643deviations relative to the median of the flat-field image and can thus
     644be compared to the magnitude residuals.  When flattening an image,
     645\oldtext{these flat-fields} \newtext{the flat-field image} would be
     646divided into the flux of the raw image.  The residuals are thus
     647defined in the sense that a positive feature in \oldtext{these flats}
     648\newtext{the flat} which does {\em not} represent a real quantum
     649efficiency deviation would induce a {\em reduction} in the measured
     650flux in those pixels, and thus a {\em negative} deviation in $\delta
     651m_{psf}$ as defined above.  The dynamic range of the color scale in
     652\oldtext{these plots} \newtext{this plot} is -0.01 to +0.01.  The
     653tree-ring pattern is strong in the (\gps,\rps,\ips) images, but nearly
     654swamped by fringing in \zps, and completely lost to fringing in \yps.
     655\newtext{For the broad-band dome flats used for the science analysis,
     656  the tree-ring patterns are apparent for all filters: the fringe
     657  patterns seen in the \zps\ and \yps\ monochromatic flats are
     658  apparently washed out by the range of wavelengths in the broad-band
     659  flats.}
     660
     661A diagonal banding pattern is also apparent in \gps\ and \rps, though
     662it is largely removed in Figure~\ref{fig:all.effects.rband} by the
     663high-pass filtering mentioned above.  This feature is thought to be due
     664to the lithography process used to generate the CCD.  A blob can also
    649665been seen covering 4 cells near the center of this chip; this is
    650666apparently a deposit of some kind on the detector.  Both of the latter
     
    738754PSF ellipticity from the $e_1$ term.
    739755
    740 \oldtext{Figure~5} \newtext{Figure~\ref{fig:all.effects.rband} (lower-left)}
    741 shows the spatial trend of the smear,
    742 $e_0$.  The dynamic range of \oldtext{these images} \newtext{this image} is -0.3 to +0.3 pixel$^2$. A
    743 tree-ring pattern is visible for all 5 filters, though \yps\ is
    744 dominated by the fringing pattern.  Structures with relatively low
    745 spatial frequencies can also be seen.
     756\oldtext{Figure~5} \newtext{Figure~\ref{fig:all.effects.rband}
     757  (lower-left)} shows the spatial trend of the smear, $e_0$.  The
     758dynamic range of \oldtext{these images} \newtext{this image} is -0.3
     759to +0.3 pixel$^2$. A tree-ring pattern is visible for all 5 filters,
     760though \yps\ is dominated by the fringing pattern.  Structures with
     761relatively low spatial frequencies can also be seen.
     762
     763% All Effects in r-band
     764\begin{figure*}[htbp]
     765\begin{center}
     766\parbox[b]{\figwidth}{\includegraphics[width=5.0in]{\picdir/filter_trends.\plotext}}
     767\caption{Amplitude of the 4 effects which follow the tree-rings as a
     768  function of filter, relative to the amplitude in the \gps-band.}
     769\label{fig:filter.trend}
     770\end{center}
     771\end{figure*}
    746772
    747773\oldtext{Figure~6} \newtext{Figure~\ref{fig:all.effects.rband} (lower-right)}
     
    756782variations are low-frequency and unrelated to the radial trend from
    757783the upper-left corner.
    758 
    759 % All Effects in r-band
    760 \begin{figure*}[htbp]
    761 \begin{center}
    762 \parbox[b]{\figwidth}{\includegraphics[width=5.0in]{\picdir/filter_trends.\plotext}}
    763 \caption{Amplitude of the 4 effects which follow the tree-rings as a
    764   function of filter, relative to the amplitude in the \gps-band.}
    765 \label{fig:filter.trend}
    766 \end{center}
    767 \end{figure*}
    768784
    769785\subsection{Correlations Between Tree-Ring Patterns}
     
    831847For all four types of measurements, the \oldtext{slope of the fitted
    832848  lines} \newtext{amplitudes relative to \gps} are \oldtext{listed in
    833 Table~2} \newtext{plotted in Figure~\ref{fig:filter.trend}}.  There is a consistency in
    834 the trend from \gps, with the strongest systematic tree-ring effects
    835 to \yps, with the weakest effects.  Note that the second moment smear
    836 and astrometry terms have different relative strength in
    837 \yps\ compared with \gps.
     849  Table~2} \newtext{plotted in Figure~\ref{fig:filter.trend}}.  There
     850is a consistency in the trend from \gps, with the strongest systematic
     851tree-ring effects, to \yps, with the weakest effects.  Note that the
     852relative strength of the second moment smear in the reddest bands
     853compared to \gps\ is quite different from the relative strength of the
     854astrometry and flat-field terms in the reddest bands.
    838855
    839856% smear trends by filter
     
    11931210% http://adsabs.harvard.edu/abs/2006NIMPA.568...41K
    11941211
     1212The origin of the fringing patterns observed in the \yps\ PSF and
     1213aperture photometry is uncertain.  The photometry fringe patterns are
     1214similar to the fringe patterns seen in the monochromatic flat-fields.
     1215However, since the broad-band flat-field images actually used for the
     1216science do not exhibit the fringes, the photometry fringes are not
     1217simply the result of having an inappropriate fringe term in the
     1218flat-field images.  One possible cause could be the interaction
     1219between spectral features in the (largely M and K) stars used for the
     1220photometry analysis interacting with the fringe effect -- in other
     1221words, a flat-field image generated with a uniform spectral density
     1222source may not be exactly right for sources with strong spectral
     1223features.  However, this explanation is clearly incomplete since it
     1224does not explain the difference in the amplitude of the fringes seen
     1225in the PSF vs the aperture photometry.  In any case, the presence of
     1226the fringe pattern does not affect our conclusions regarding the
     1227charge diffusion effect.
     1228
    11951229\section{Conclusion}
    11961230
     
    12881322
    12891323\bibliographystyle{apj}
    1290 %\bibliography{lib}{}
     1324\bibliography{lib}{}
    12911325%\input{diffusion.bbl}
    1292 \input{magnier_bib.tex}
     1326%\input{magnier_bib.tex}
    12931327
    12941328\end{document}
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