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Changeset 6035 for trunk/doc/dvo/dvo.tex


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Timestamp:
Jan 18, 2006, 3:34:48 AM (21 years ago)
Author:
eugene
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updated photcode discussion

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  • trunk/doc/dvo/dvo.tex

    r6033 r6035  
    1919\pagenumbering{arabic}
    2020
    21 \tbd{substantial discussion of the photcodes and the photometry
    22   transformation process}
     21\subsection{Photometric systems and the DVO Photcodes}
     22
     23One of the major roles of DVO is to relate different photometric
     24measurements made with different instruments and detectors together.
     25We may have observations made with the same basic filters, but using a
     26number of different detectors.  We may have observations from
     27different telescopes in similar filters.  We may have reference data
     28related to some filter, but obtained and published by other
     29observers.  We would like to related these measurements together in
     30optimal ways, making use of whatever information we have available.
     31DVO provides several mechanisms to enable these relationships.
     32
     33We identify three distinct types of photometry measurements within
     34DVO:
     35\begin{itemize}
     36\item {\bf reference photometry}  These measurements are provided by
     37  external observers.  For reference photometry, we do not have access
     38  to very must information used to determine the magnitudes of the
     39  objects of interest.  We have the reference magnitudes corresponding
     40  to a type of filter, and presumably some information of the error on
     41  the measurement.  We might possibly know the epoch of the
     42  observations, but not necessarily. 
     43\item {\bf detection photometry} This is our primary measurement of
     44  interest: the photometry of objects measured from images which we
     45  have processed.  More specifically, the detection photometry is an
     46  instantaneous measurement from a specific image with well-known
     47  properties, such as exposure time, airmass, instrument source, etc. 
     48\item {\bf internal photometry} With the application of an appropriate
     49  zero point and other calibration terms, any detection photometry can
     50  be calibrated to represent a measurement in a well-known photometric
     51  system.  The internal photometry measurements are calibrated to be
     52  on a photometric system which represents a consistent system for a
     53  particular telescope or collection of data, minimizing the
     54  calibration transformations necsessary.
     55\end{itemize}
     56
     57Defining the relationships between the different types of measurements
     58is part of the process of photometric calibration.  DVO uses the
     59concept of the 'photcode' to identify the source of the photometry,
     60and to define the relationships between different photometry sources.
     61A photcode identifies a photometric system: for the detection
     62photometry measurments, each combination of telescope, camera, filter,
     63and detector is associated with a unique photcode; there are also
     64unique photcodes for the internal photometry systems and any distinct
     65external reference source. 
     66
     67As a concrete example, consider the Pan-STARRS PS-1 system.  There
     68will be three different cameras in use at different times: GPC-1,
     69TC-3, and the SkyProbe camera.  There are at least 6 filter systems:
     70{\it grizy} and {\it w}.  The SkyProbe camera has a single CCD, TC-3
     71has 16 different detectors, and GPC-1 has up to 64 different devices.
     72Each of these combinations is potentially a different photometric
     73system, so a different photcode is defined for each combination.
     74These photcodes would have names such as: GPC1.02.r (r filter with the
     75GPC1 camera and OTA 02) or SP1.00.g (SkyProbe 1, g filter).  These
     76($64 \times 6 + 16 \times 6 + 5 = 485$) photcodes are all identified
     77as 'detection' photcodes, specifying that detection photometry is
     78associated with them
     79
     80There are also 6 different internal photometric systems of interest,
     81namely those associated with the 6 named filters, {\it grizy} and {\it
     82w}. Each of these 6 systems is identified with an internal photcode.
     83The internal photcodes are further distinguished as 'primary' or
     84'secondary', which specifies how the DVO system stores average
     85quantities related to these types of photcodes (see the discussion of
     86the tables below). 
     87
     88Finally, there may be multiple external photometric systems of
     89interest, some of which are related to the major internal photometry
     90systems, some of which are not.  For example, the Pan-STARRS project
     91may refer to photometry from the SDSS secondary standards, the SDSS
     92data releases, Johnson photometry from Landolt (1992), observations
     93from 2MASS in $JHK$, USNO-B observations, and so forth.  Each of these
     94photometric systems is assoiciated with a different photcode; only
     95some of these are relevant to the detection or internal photometry
     96system.
     97
     98Within DVO, the detection and internal photcodes each define a
     99relationships as well as a specific photometric system.  Associated
     100with each of these photcodes are the parameters of the photometry
     101transformation from the photometric system of the photcode to another
     102photometric system.  For the detection photcodes, the parameters
     103define the transformation to the equivalent internal photcode system.
     104The currently-defined transformation parameters consist of the
     105following photometry equation:
     106%
     107\[ M_i = M_r + C_r + K_r (\mbox{airmass} - 1) + \sum_{i = 1}^{i < N}
     108A_{r,i} (\mbox{color} - \mbox{color}_r)^i
     109\]
     110%
     111where $C_r$ represents the zero-point of the transformation, $K_r$
     112represents the slope of the airmass trend, $\mbox{airmass}$ is the
     113airmass for a given measurement, $\mbox{color}$ is the color of the
     114source of interest (as identified below), $\mbox{color}_r$ is the
     115reference color for sources in this photometry system, and $A_{r,i}$
     116is the coefficient of the $i$ power of the color difference.  Up to
     117fourth order color terms are currently allowed.  For any photcode, the
     118color is defined as the difference of the measurements in two other
     119photcodes, usually two 'internal' photcodes.  The photcode information
     120also specified the equivalent photcode to which the transformation corresponds.
     121
     122For the detection photcodes, the target of the transformation must be
     123an internal photcode.  For the internal photcodes, the target of the
     124transformation is an external reference photcode system.  This
     125restriction implies that the internal photometry may only be
     126transformed (and thus compared with) a single external reference.
     127This is in fact the best practice as far as photometric calibration is
     128concerned: the 'standard' observations from different references
     129should always be treated as different photometric systems.  To allow
     130for the relationship of the internal photometry to multiple sources of
     131reference photometry, an additional set of photcodes are defined which
     132identify 'alternative' transformations for the internal photcodes.
     133
     134It is important to note that not all of the photometry transformation
     135parameters identified above are relevant for each of the three major
     136types of photcode.  The detection photcodes will in general make use
     137of all of these elements, though the order of the color transformation
     138will hopefully be limited if the different devices are sufficiently
     139similar.  For the transformation from the internal photcodes, which
     140are derivative in some way of the detection photcodes, the airmass
     141component is invalid: for a single measurement, the
     142detection-to-internal transformation has already removed the airmass
     143trend; for an averaged internal photometric measurement, no single
     144airmass corresponds to the observations.  Finally, no transformation
     145parameters are defined for the reference photcodes at this time.
     146
     147DVO provides methods by which these photometry transforamtions are
     148automatically applied.  The specific measurements (detection
     149photometry) are stored in the database tables as instrumental
     150magnitudes, and any operation which examines these measurements must
     151make use of the APIs to convert to an appropriate common system.  A
     152further complication to note is that the photcodes defined above are
     153static; they do not include any information about changes to the
     154system sensitivity.  This information is carried externally to the
     155photcode calibration information; the transformations defined by the
     156photcodes must be considered the {\em starting point} for any
     157photometric analysis.  An additional adjusment can be applied. 
     158
     159The detections from a specific image may all have a 'calibration'
     160offset applied which bring the measured photometry into a common
     161relative system.  This calibration offset is associated with the image
     162and may be a function of position on the detector.  The tables which
     163carry the individual measurements also include the calibration
     164magnitude appropriate for each measurement to speed up the application
     165of this offset.  In a well-calibrated collection of photometry, all of
     166the detection measurements will have a measured calibration magnitude,
     167yielding a collection of internal photometry measurements which are
     168all consistent.  An additional piece of information is the zero-point
     169history, which tracks the system-wide variations in the average
     170sensitivity.  The zero-point history can be used to predict the
     171calibration magnitudes for any observation which is not tied directly
     172via relative photometry to the rest of the photometric observations.
     173
     174Putting all of these pieces together, the photometry APIs in DVO can
     175be used to return any of the following types of photometric
     176measurements:
     177\begin{itemize}
     178\item raw instrumental magnitudes for any detection
     179
     180\item 'catalog' magnitudes, applying only the airmass and static
     181  zero-point calibrations to a detection magnitude; this is useful to
     182  test the detector-color transformation.
     183
     184\item 'system' measurements, applying the complete static
     185  transformation for a detection magnitude to the internal photometry
     186  system; for photometric weather and no zero-point variations, this
     187  would be a measurement in the internal photometry system.
     188
     189\item 'relative' magnitudes, applying the measured calibration offset
     190  to the calibrated detection magnitude determined above; in a
     191  well-calibrated system, this represents a consistent internal
     192  photometry measurement.
     193
     194\item 'calibrated' magnitudes, correcting the measure detection
     195  photometry by applying the transformation from the internal
     196  magnitude system to the external reference magntiude system.
     197
     198\item 'average' magntiudes, the raw internal photometry magnitudes
     199  (note the distinction between the 'average' quantities, which are
     200  derived from a collection of detections an the 'relative' quantities
     201  which represent an instantenous measurement in the same system).
     202
     203\item 'reference' magnitudes, in which the 'average' internal
     204  photometry values are transformed to the refernce magnitude system. 
     205\end{itemize}
     206The complexity of these transformations is necessary to allow the
     207examination of the trends of actual measurements with external
     208parameters.
    23209
    24210\section{Overview}
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