source: tags/release-1.1.7/docs/outputs.tex @ 1455

Last change on this file since 1455 was 525, checked in by MatthewWhiting, 15 years ago

Changes related to ticket #17: allowing the specification of output names for the various fits files. Also associated documentation.

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1% -----------------------------------------------------------------------
2% outputs.tex: Section detailing the different forms of text- and
3%              plot-based output.
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5% Copyright (C) 2006, Matthew Whiting, ATNF
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29\secA{Outputs}
30\label{sec-output}
31
32\secB{During execution}
33
34\duchamp provides the user with feedback whilst it is running, to
35keep the user informed on the progress of the analysis. Most of this
36consists of self-explanatory messages about the particular stage the
37program is up to. The relevant parameters are printed to the screen at
38the start (once the file has been successfully read in), so the user
39is able to make a quick check that the setup is correct (see
40Appendix~{app-input} for an example).
41
42If the cube is being trimmed (\S\ref{sec-modify}), the resulting
43dimensions are printed to indicate how much has been trimmed. If a
44reconstruction is being done, a continually updating message shows
45either the current iteration and scale, compared to the maximum scale
46(when \texttt{reconDim = 3}), or a progress bar showing the amount of
47the cube that has been reconstructed (for smaller values of
48\texttt{reconDim}).
49
50During the searching algorithms, the progress through the search is
51shown. When completed, the number of objects found is reported (this
52is the total number found, before any merging is done).
53
54In the merging process (where multiple detections of the same object
55are combined -- see \S\ref{sec-merger}), two stages of output
56occur. The first is when each object in the list is compared with all
57others. The output shows two numbers: the first being how far through
58the list the current object is, and the second being the length of the
59list. As the algorithm proceeds, the first number should increase and
60the second should decrease (as objects are combined). When the numbers
61meet, the whole list has been compared. If the objects are being
62grown, a similar output is shown, indicating the progress through the
63list. In the rejection stage, in which objects not meeting the minimum
64pixels/channels requirements are removed, the total number of objects
65remaining in the list is shown, which should steadily decrease with
66each rejection until all have been examined. Note that these steps can
67be very quick for small numbers of detections.
68
69Since this continual printing to screen has some overhead of time and
70CPU involved, the user can elect to not print this information by
71setting the parameter \texttt{verbose = false}. In this case, the user
72is still informed as to the steps being undertaken, but the details of
73the progress are not shown.
74
75There may also be Warning or Error messages printed to screen. The
76Warning messages occur when something happens that is unexpected (for
77instance, a desired keyword is not present in the FITS header), but
78not detrimental to the execution. An Error message is something more
79serious, and indicates some part of the program was not able to
80complete its task. The message will also indicate which function or
81subroutine generated it -- this is primarily a tool for debugging, but
82can be useful in determining what went wrong.
83
84\secB{Text-based output files}
85
86\secC{Table of results}
87\label{sec-results}
88
89Finally, we get to the results -- the reason for running \duchamp in
90the first place. Once the detection list is finalised, it is sorted by
91the mean velocity of the detections (or, if there is no good WCS
92associated with the cube, by the mean $z$-pixel position). The results
93are then printed to the screen and to the output file, given by the
94\texttt{OutFile} parameter.
95
96The output consists of two sections. First, a list of the parameters
97are printed to the output file, for future reference. Next, the
98detection threshold that was used is given, so comparison can be made
99with other searches. The statistics estimating the noise parameters
100are given (see \S\ref{sec-stats}). Thirdly, the number of detections
101are reported.
102
103All this information, known as the ``header'', can either be written
104to the start of the output file (denoted by the parameter
105\texttt{OutFile}), or written to a separate file from the list of
106detections. This second option is activated by the parameter
107\texttt{flagSeparateHeader}, and the information is written to the
108file given by \texttt{HeaderFile}.
109
110The most interesting part, however, is the list of detected
111objects. This list, an example of which can be seen in
112Appendix~\ref{app-output}, contains the following columns (note that
113the title of the columns depending on WCS information will depend on
114the details of the WCS projection: they are shown below for the
115Equatorial and Galactic projection cases).
116
117\begin{Lentry}
118\item[{Obj\#}] The ID number of the detection (simply the
119  sequential count for the list, which is ordered by increasing
120  velocity, or channel number, if the WCS is not good enough to find
121  the velocity).
122\item[{Name}] The ``IAU''-format name of the detection (derived from the
123  WCS position -- see below for a description of the format).
124\item[{X,Y,Z}] The ``centre'' pixel position, determined by the input
125  parameter \texttt{pixelCentre}.
126\item[{RA/GLON}] The Right Ascension or Galactic Longitude of the centre
127  of the object.
128\item[{DEC/GLAT}] The Declination or Galactic Latitude of the centre of
129  the object.
130\item[{VEL}] The mean velocity of the object [units given by the
131  \texttt{spectralUnits} parameter].
132\item[{w\_RA/w\_GLON}] The width of the object in Right Ascension or
133  Galactic Longitude (depending on FITS coordinates) [arcmin].
134\item[{w\_DEC/w\_GLAT}] The width of the object in Declination Galactic
135  Latitude [arcmin].
136\item[{w\_50}] The velocity width of the detection at 50\% of the peak
137  flux (the measured full-width at half-maximum, FWHM), in velocity
138  units [see note below].
139\item[{F\_int}] The integrated flux over the object, in the units of
140  flux times velocity, corrected for the beam if necessary.
141\item[{F\_peak}] The peak flux over the object, in the units of flux.
142\item[{S/Nmax}] The signal-to-noise ratio at the peak pixel.
143\item[{X1, X2}] The minimum and maximum X-pixel coordinates.
144\item[{Y1, Y2}] The minimum and maximum Y-pixel coordinates.
145\item[{Z1, Z2}] The minimum and maximum Z-pixel coordinates.
146\item[{Npix}] The number of voxels (\ie distinct $(x,y,z)$ coordinates)
147  in the detection.
148\item[{Flag}] Whether the detection has any warning flags (see below).
149\end{Lentry}
150
151These parameters are written to the screen during execution. There are
152alternative ways of calculating the total flux, the position and
153velocity width, however, and so additional parameters are written to
154the output file:
155\begin{Lentry}
156\item[{w\_20}] The velocity width of the detection at 20\% of the peak
157  flux, in velocity units [see note below].
158\item[{w\_VEL}] The full velocity width of the detection (max channel
159  $-$ min channel, in velocity units).
160\item[{F\_tot}] The sum of the flux values of all detected voxels.
161\item[{X\_av, Y\_av, Z\_av}] The average pixel value in each
162  axis direction \ie X\_av is the average of the $x$-values of all
163  pixels in the detection.
164\item[{X\_cent, Y\_cent, Z\_cent}] The centroid position, being
165  the flux-weighted average of the pixels.
166\item[{X\_peak, Y\_peak, Z\_peak}] The location of the pixel
167  containing the peak flux value.
168\end{Lentry}
169The velocity width of the detection is calculated at 50\% and 20\% of
170the peak flux, as well as the full detected width (if the detection
171threshold is greater than 20\% or 50\% of the peak, then these values
172will be the same as \texttt{w\_VEL}. The type of position value given
173in the \texttt{X, Y, Z} columns in the screen output is determined by
174the \texttt{pixelCentre} parameter. All three alternatives are shown
175in the output file.
176
177The user can specify the precision used to display the flux, velocity
178and S/Nmax values, by using the input parameters \texttt{precFlux},
179\texttt{precVel} and \texttt{precSNR} respectively. These values apply
180to the tables written to the screen and to the output file, as well as
181for the VOTable (see below).
182
183The \texttt{Name} is derived from the WCS position. For instance, a
184source that is centred on the RA,Dec position 12$^h$53$^m$45$^s$,
185-36$^\circ$24$'$12$''$ will be given the name J125345$-$362412, if the
186epoch is J2000, or the name B125345$-$362412 if it is B1950. An
187alternative form is used for Galactic coordinates: a source centred on
188the position ($l$,$b$) = (323.1245, 5.4567) will be called
189G323.124$+$05.457. If the WCS is not valid (\ie is not present or does
190not have all the necessary information), the \texttt{Name, RA, DEC,
191VEL} and related columns are not printed, but the pixel coordinates
192are still provided.
193
194The velocity units can be specified by the user, using the parameter
195\texttt{spectralUnits} (enter it as a single string with no
196spaces). The default value is km/s, which should be suitable for most
197users. These units are also used to give the units of integrated
198flux. Note that if there is no rest frequency specified in the FITS
199header, the \duchamp output will instead default to using Frequency,
200with units of MHz.
201
202If the WCS is absent or not sufficiently specified, then all columns
203from \texttt{RA/GLON} to \texttt{w\_VEL} will be left blank. Also,
204\texttt{F\_int} will be replaced with the more simple \texttt{F\_tot}.
205
206The \texttt{Flag} column contains any warning flags, such as:
207\begin{itemize}
208\item \textbf{E} -- The detection is next to the spatial edge of the image,
209meaning either the limit of the pixels, or the limit of the non-BLANK
210pixel region.
211\item \textbf{S} -- The detection lies at the edge of the spectral region.
212\item \textbf{N} -- The total flux, summed over all the (non-BLANK)
213pixels in the smallest box that completely encloses the detection, is
214negative. Note that this sum is likely to include non-detected
215pixels. It is of use in pointing out detections that lie next to
216strongly negative pixels, such as might arise due to interference --
217the detected pixels might then also be due to the interference, so
218caution is advised.
219\end{itemize}
220In the absence of any of these flags, a \textbf{-} will be recorded in
221this column.
222
223\secC{Other results lists}
224
225Three additional results files can also be requested. One option is a
226VOTable-format XML file, containing just the RA, Dec, Velocity and the
227corresponding widths of the detections, as well as the fluxes. The
228user should set \texttt{flagVOT = true}, and put the desired filename
229in the parameter \texttt{votFile} -- note that the default is for it
230not to be produced. This file should be compatible with all Virtual
231Observatory tools (such as Aladin%
232\footnote{%Aladin can be found on the web at
233\href{http://aladin.u-strasbg.fr/}{http://aladin.u-strasbg.fr/}}
234or TOPCAT\footnote{%Tool for OPerations on Catalogues And Tables:
235\href{http://www.star.bristol.ac.uk/~mbt/topcat/}%
236{http://www.star.bristol.ac.uk/~mbt/topcat/}}).
237
238A second option is an annotation file for use with the Karma toolkit
239of visualisation tools (in particular, with \texttt{kvis}). There are
240two options on how objects are represented, governed by the
241\texttt{annotationType} parameter. Setting this to \texttt{borders}
242results in a border being drawn around the spatial pixels of the
243object, in a manner similar to that seen in Fig.~\ref{fig-spect}. Note
244that Karma/\texttt{kvis} does not always do this perfectly, so the
245lines may not be directly lined up with pixel borders. The other
246option is \texttt{annotationType = circles}. This will draw a circle
247at the position of each detection, scaled by the spatial size of the
248detection, and number it according to the Obj\# given above. To make
249use of this option, the user should set \texttt{flagKarma = true}, and
250put the desired filename in the parameter \texttt{karmaFile} -- again,
251the default is for it not to be produced.
252
253The final optional results file produced is a simple text file that
254contains the spectra for each detected object. The format of the file
255is as follows: the first column has the spectral coordinate, over the
256full range of values; the remaining columns represent the flux values
257for each object at the corresponding spectral position. The flux value
258used is the same as that plotted in the spectral plot detailed below,
259and governed by the \texttt{spectralMethod} parameter. An example of
260what a spectral text file might look like is given below:
261
262\begin{quote}
263  {\footnotesize
264    \begin{tabular}{lllll}
265      1405.00219727  &0.01323344  &0.23648241  &0.04202826  &-0.00506790  \\
266      1405.06469727  &0.01302835  &0.27393046  &0.04686056  &-0.00471084  \\
267      1405.12719727  &0.01583361  &0.27760920  &0.04114933  &-0.01168737  \\
268      1405.18969727  &0.01271889  &0.31489247  &0.03307962  &-0.00300790  \\
269      1405.25219727  &0.01597644  &0.30401203  &0.05356426  &-0.00551653  \\
270      1405.31469727  &0.00773827  &0.30031312  &0.04074831  &-0.00570147  \\
271      1405.37719727  &0.00738304  &0.27921870  &0.05272378  &-0.00504959  \\
272      1405.43969727  &0.01353923  &0.26132512  &0.03667958  &-0.00151006  \\ 
273      1405.50219727  &0.01119724  &0.28987029  &0.03497849  &-0.00645589  \\ 
274      1405.56469727  &0.00813379  &0.29839963  &0.04711142  &0.00536576   \\ 
275      1405.62719727  &0.00774377  &0.26530230  &0.04620502  &0.00724631   \\ 
276      1405.68969727  &0.00576067  &0.23215000  &0.04995513  &0.00290841   \\
277      1405.75219727  &0.00452834  &0.16484940  &0.04261605  &-0.00612812  \\ 
278      1405.81469727  &0.01406293  &0.15989439  &0.03817926  &-0.00758385  \\
279      1405.87719727  &0.01116611  &0.11890682  &0.05499069  &-0.00626362  \\ 
280      1405.93969727  &0.00687582  &0.10620256  &0.04743370  &0.00055177   \\
281      $\vdots$       &$\vdots$    &$\vdots$    &$\vdots$    &$\vdots$     \\
282    \end{tabular}
283  }
284\end{quote}
285
286In addition to these three files, a log file can also be produced. As
287the program is running, it also (optionally) records the detections
288made in each individual spectrum or channel (see \S\ref{sec-detection}
289for details on this process). This is recorded in the file given by
290the parameter \texttt{LogFile}. This file does not include the columns
291\texttt{Name, RA, DEC, w\_RA, w\_DEC, VEL, w\_VEL}. This file is
292designed primarily for diagnostic purposes: \eg to see if a given set
293of pixels is detected in, say, one channel image, but does not survive
294the merging process. The list of pixels (and their fluxes) in the
295final detection list are also printed to this file, again for
296diagnostic purposes. The file also records the execution time, as well
297as the command-line statement used to run \duchamp. The creation of
298this log file can be prevented by setting \texttt{flagLog = false}
299(which is the default).
300
301\secB{Graphical output}
302
303\begin{figure}[t]
304  \begin{center}
305    \includegraphics[width=\textwidth]{example_spectrum}
306  \end{center}
307  \caption{\footnotesize An example of the spectral output. Note several
308    of the features discussed in the text: the red lines indicating the
309    reconstructed spectrum; the blue dashed lines indicating the
310    spectral extent of the detection; the green hashed area indicating
311    the Milky Way channels that are ignored by the searching algorithm;
312    the blue border showing its spatial extent on the 0th moment map;
313    and the 15~arcmin-long scale bar.}
314  \label{fig-spect}
315\end{figure}
316
317\begin{figure}[!t]
318  \begin{center}
319    \includegraphics[width=\textwidth]{example_moment_map}
320  \end{center}
321  \caption{\footnotesize An example of the moment map created by
322    \duchamp. The full extent of the cube is covered, and the 0th moment
323    of each object is shown (integrated individually over all the
324    detected channels). The purple line indicates the limit of the
325    non-BLANK pixels.}
326  \label{fig-moment}
327\end{figure}
328
329\secC{Mask image}
330\label{sec-maskOut}
331
332It is possible to create a FITS file containing a mask array. This
333array is designed to indicate the location of detected objects. The
334value of the detected pixels is determined by the
335\texttt{flagMaskWithObjectNum} parameter: if \texttt{true}, the value
336of the pixels is given by the corresponding object ID number; if
337\texttt{false}, they take the value 1 for all objects. Pixels not in a
338detected object have the value 0. To create this FITS file, set the
339input parameter \texttt{flagOutputMask=true}. The file will be named
340according to the \texttt{fileOutputMask} parameter, or, if this is not
341given, \texttt{image.MASK.fits} (where the input image is called
342\texttt{image.fits}).
343
344\secC{Spectral plots}
345
346As well as the output data file, a postscript file (with the filename
347given by the \texttt{spectralFile} parameter) is created that shows
348the spectrum for each detection, together with a small cutout image
349(the 0th moment) and basic information about the detection (note that
350any flags are printed after the name of the detection, in the format
351\texttt{[E]}). If the cube was reconstructed, the spectrum from the
352reconstruction is shown in red, over the top of the original
353spectrum. The spectral extent of the detected object is indicated by
354two dashed blue lines, and the region covered by the ``Milky Way''
355channels is shown by a green hashed box. An example detection can be
356seen in Fig.~\ref{fig-spect}.
357
358The spectrum that is plotted is governed by the
359\texttt{spectralMethod} parameter. It can be either \texttt{peak} (the
360default), where the spectrum is from the spatial pixel containing the
361detection's peak flux; or \texttt{sum}, where the spectrum is summed
362over all spatial pixels, and then corrected for the beam size.  The
363spectral extent of the detection is indicated with blue lines, and a
364zoom is shown in a separate window.
365
366The cutout image can optionally include a border around the spatial
367pixels that are in the detection (turned on and off by the
368\texttt{drawBorders} parameter -- the default is \texttt{true}). It
369includes a scale bar in the bottom left corner to indicate size -- its
370length is indicated next to it (the choice of length depends on the
371size of the image).
372
373There may also be one or two extra lines on the image. A yellow line
374shows the limits of the cube's spatial region: when this is shown, the
375detected object will lie close to the edge, and the image box will
376extend outside the region covered by the data. A purple line, however,
377shows the dividing line between BLANK and non-BLANK pixels. The BLANK
378pixels will always be shown in black. The first type of line is always
379drawn, while the second is governed by the parameter
380\texttt{drawBlankEdges} (whose default is \texttt{true}), and
381obviously whether there are any BLANK pixel present.
382
383\secC{Output for 2-dimensional images}
384
385When the input image is two-dimensional, with no spectral dimension,
386this spectral plot would not make much sense. Instead, \duchamp
387creates a similar postscript file that simply includes the text
388headers as well as the 0th-moment map of the detection. As for the
389normal spectral case, this file will be written to the filename given
390by the \texttt{spectralFile} parameter.
391
392\secC{Spatial maps}
393
394Finally, a couple of images are optionally produced: a 0th moment map
395of the cube, combining just the detected channels in each object,
396showing the integrated flux in grey-scale; and a ``detection image'',
397a grey-scale image where the pixel values are the number of channels
398that spatial pixel is detected in. In both cases, if
399\texttt{drawBorders = true}, a border is drawn around the spatial
400extent of each detection, and if \texttt{drawBlankEdges = true}, the
401purple line dividing BLANK and non-BLANK pixels (as described above)
402is drawn. An example moment map is shown in Fig.~\ref{fig-moment}.
403The production or otherwise of these images is governed by the
404\texttt{flagMaps} parameter.
405
406The moment map is also displayed in a PGPlot XWindow (with the
407\texttt{/xs} display option). This feature can be turned off by
408setting \texttt{flagXOutput = false} -- this might be useful if
409running \duchamp on a terminal with no window display capability, or
410if you have set up a script to run it in a batch mode.
411
412The purpose of these images are to provide a visual guide to where the
413detections have been made, and, particularly in the case of the moment
414map, to provide an indication of the strength of the source. In both
415cases, the detections are numbered (in the same sense as the output
416list and as the spectral plots), and the spatial borders are marked
417out as for the cutout images in the spectra file. Both these images
418are saved as postscript files (given by the parameters
419\texttt{momentMap} and \texttt{detectionMap} respectively), with the
420latter also displayed in a \textsc{pgplot} window (regardless of the
421state of \texttt{flagMaps}).
422
423
424
425\secB{Re-using previous detections}
426\label{sec-reuse}
427
428It may be the case that, once you have run \duchamp with a set of
429parameters, you are unsatisfied with the output spectra -- perhaps you
430would have preferred integrated rather than peak flux to be
431plotted. However, the searching might have taken a while to run, and
432the thought of doing it again just for different plots may be a bit
433off-putting.
434
435Well, provided you have made a log file when running \duchamp (with
436the \texttt{flagLog=true} setting), it is possible to do this easily
437without having to go through the process of detecting your sources a
438second time. By using the same input file, with the additional
439parameter \texttt{usePrevious=true}, the log file that was created
440with a previous \duchamp run can be read to extract each of the
441individual detections. The output stage is then run again, with the
442parameters (in particular \texttt{pixelCentre} and
443\texttt{spectralMethod}) as given in the input file.
444
445Perhaps you would also like to extract a single source's
446spectral plot (\eg for use in a journal paper). The use-previous
447method allows you to specify particular sources to re-plot. Only these
448sources will be plotted in the \texttt{SpectraFile} file, and
449individual files will be created for each of the listed sources. Their
450filenames will follow the format of \texttt{SpectraFile}: if,
451\texttt{SpectraFile=file.ps}, source \#3 will appear in
452\texttt{file-03.ps}. To give a list of sources, use the
453\texttt{objectList} parameter, and provide a string with individual
454object numbers or object ranges: \eg 1,2,4-7,8,11.
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