\secA{Outputs} \label{sec-output} \secB{During execution} \duchamp\ provides the user with feedback whilst it is running, to keep the user informed on the progress of the analysis. Most of this consists of self-explanatory messages about the particular stage the program is up to. The relevant parameters are printed to the screen at the start (once the file has been successfully read in), so the user is able to make a quick check that the setup is correct (see Appendix~{app-input} for an example). If the cube is being trimmed (\S\ref{sec-modify}), the resulting dimensions are printed to indicate how much has been trimmed. If a reconstruction is being done, a continually updating message shows either the current iteration and scale, compared to the maximum scale (when \texttt{reconDim=3}), or a progress bar showing the amount of the cube that has been reconstructed (for smaller values of \texttt{reconDim}). During the searching algorithms, the progress through the 1D and 2D searches are shown. When the searches have completed, the number of objects found in both the 1D and 2D searches are reported (see \S\ref{sec-detection} for details). In the merging process (where multiple detections of the same object are combined -- see \S\ref{sec-merger}), two stages of output occur. The first is when each object in the list is compared with all others. The output shows two numbers: the first being how far through the list the current object is, and the second being the length of the list. As the algorithm proceeds, the first number should increase and the second should decrease (as objects are combined). When the numbers meet (\ie the whole list has been compared), the second phase begins, in which multiply-appearing pixels in each object are removed, as are objects not meeting the minimum channels requirement. During this phase, the total number of accepted objects is shown, which should steadily increase until all have been accepted or rejected. Note that these steps can be very quick for small numbers of detections. Since this continual printing to screen has some overhead of time and CPU involved, the user can elect to not print this information by setting the parameter \texttt{verbose = 0}. In this case, the user is still informed as to the steps being undertaken, but the details of the progress are not shown. There may also be Warning or Error messages printed to screen. The Warning messages occur when something happens that is unexpected (for instance, a desired keyword is not present in the FITS header), but not detrimental to the execution. An Error message is something more serious, and indicates some part of the program was not able to complete its task. The message will also indicate which function or subroutine generated it -- this is primarily a tool for debugging, but can be useful in determining what went wrong. \secB{Results} \secC{Table of results} Finally, we get to the results -- the reason for running \duchamp\ in the first place. Once the detection list is finalised, it is sorted by the mean velocity of the detections (or, if there is no good WCS associated with the cube, by the mean $z$-pixel position). The results are then printed to the screen and to the output file, given by the \texttt{OutFile} parameter. The output consists of three parts. First, a list of the parameters are printed to the output file, for future reference. Next, the detection level that was used is given, so comparison can be made with other searches. The noise level and its spread are also reported. The most interesting part, however, is the list of detected objects. This list, an example of which can be seen in Appendix~\ref{app-output}, contains the following columns (note that the title of the columns depending on WCS information will depend on the details of the WCS projection: they are shown below for the Equatorial and Galactic projection cases). \begin{entry} \item[Obj\#] The ID number of the detection (simply the sequential count for the list, which is ordered by increasing velocity, or channel number, if the WCS is not good enough to find the velocity). \item[Name] The ``IAU''-format name of the detection (derived from the WCS position -- see below for a description of the format). \item[X] The average X-pixel position (averaged over all detected voxels). \item[Y] The average Y-pixel position. \item[Z] The average Z-pixel position. \item[RA/GLON] The Right Ascension or Galactic Longitude of the centre of the object. \item[DEC/GLAT] The Declination or Galactic Latitude of the centre of the object. \item[VEL] The mean velocity of the object [units given by the \texttt{spectralUnits} parameter]. \item[w\_RA/w\_GLON] The width of the object in Right Ascension or Galactic Longitude [arcmin]. \item[w\_DEC/w\_GLAT] The width of the object in Declination Galactic Latitude [arcmin]. \item[w\_VEL] The full velocity width of the detection (max channel $-$ min channel, in velocity units [see note below]). \item[F\_int] The integrated flux over the object, in the units of flux times velocity, corrected for the beam if necessary. \item[F\_peak] The peak flux over the object, in the units of flux. \item[S/Nmax] The signal-to-noise ratio at the peak pixel. \item[X1, X2] The minimum and maximum X-pixel coordinates. \item[Y1, Y2] The minimum and maximum Y-pixel coordinates. \item[Z1, Z2] The minimum and maximum Z-pixel coordinates. \item[Npix] The number of voxels (\ie distinct $(x,y,z)$ coordinates) in the detection. \item[Flag] Whether the detection has any warning flags (see below). \end{entry} The Name is derived from the WCS position. For instance, a source centred on the RA,Dec position 12$^h$53$^m$45$^s$, -36$^\circ$24$'$12$''$ will be called J125345$-$362412 (if the epoch is J2000) or B125345$-$362412 (if B1950). An alternative form is used for Galactic coordinates: a source centred on the position ($l$,$b$) = (323.1245, 5.4567) will be called G323.124$+$05.457. If the WCS is not valid (\ie is not present or does not have all the necessary information), the Name, RA, DEC, VEL and related columns are not printed, but the pixel coordinates are still provided. The velocity units can be specified by the user, using the parameter \texttt{spectralUnits} (enter it as a single string). The default value is km/s, which should be suitable for most users. These units are also used to give the units of integrated flux. Note that if there is no rest frequency specified in the FITS header, the \duchamp\ output will instead default to using Frequency, with units of MHz. If the WCS is absent or not sufficiently specified, then all columns from RA/GLON to w\_VEL will be left blank. Also, F\_int will be replaced with the more simple F\_tot -- the total flux in the detection, being the sum of all detected voxels. %The last column contains any warning flags about the detection. There %are currently three options here. An `E' is printed if the detection is %next to the edge of the image, meaning either the limit of the pixels, %or the limit of the non-BLANK pixel region. An `S' is printed if the %detection lies at the edge of the spectral region. An `N' is printed %if the total flux, summed over all the (non-BLANK) pixels in the %smallest box that completely encloses the detection, is negative. Note %that this sum is likely to include non-detected pixels. It is of use %in pointing out detections that lie next to strongly negative pixels, %such as might arise due to interference -- the detected pixels might %then also be due to the interference, so caution is advised. The last column contains any warning flags about the detection, such as: \begin{itemize} \item \textbf{E} -- The detection is next to the spatial edge of the image, meaning either the limit of the pixels, or the limit of the non-BLANK pixel region. \item \textbf{S} -- The detection lies at the edge of the spectral region. \item \textbf{N} -- The total flux, summed over all the (non-BLANK) pixels in the smallest box that completely encloses the detection, is negative. Note that this sum is likely to include non-detected pixels. It is of use in pointing out detections that lie next to strongly negative pixels, such as might arise due to interference -- the detected pixels might then also be due to the interference, so caution is advised. \end{itemize} \secC{Other results lists} Two additional results files can also be requested. One option is a VOTable-format XML file, containing just the RA, Dec, Velocity and the corresponding widths of the detections, as well as the fluxes. The user should set \texttt{flagVOT = 1}, and put the desired filename in the parameter \texttt{votFile} -- note that the default is for it not to be produced. This file should be compatible with all Virtual Observatory tools (such as Aladin\footnote{ Aladin can be found on the web at \href{http://aladin.u-strasbg.fr/}{http://aladin.u-strasbg.fr/}}). The second option is an annotation file for use with the Karma toolkit of visualisation tools (in particular, with \texttt{kvis}). This will draw a circle at the position of each detection, scaled by the spatial size of the detection, and number it according to the Obj\# given above. To make use of this option, the user should set \texttt{flagKarma = 1}, and put the desired filename in the parameter \texttt{karmaFile} -- again, the default is for it not to be produced. As the program is running, it also (optionally) records the detections made in each individual spectrum or channel (see \S\ref{sec-detection} for details on this process). This is recorded in the file given by the parameter \texttt{LogFile}. This file does not include the columns \texttt{Name, RA, DEC, w\_RA, w\_DEC, VEL, w\_VEL}. This file is designed primarily for diagnostic purposes: \eg to see if a given set of pixels is detected in, say, one channel image, but does not survive the merging process. The list of pixels (and their fluxes) in the final detection list are also printed to this file, again for diagnostic purposes. The file also records the execution time, as well as the command-line statement used to run \duchamp. The creation of this log file can be prevented by setting \texttt{flagLog = false}. \secC{Graphical output -- spectra} \begin{figure}[t] \begin{center} \includegraphics[width=\textwidth]{example_spectrum} \end{center} \caption{\footnotesize An example of the spectrum output. Note several of the features discussed in the text: the red lines indicating the reconstructed spectrum; the blue dashed lines indicating the spectral extent of the detection; the green hashed area indicating the Milky Way channels that are ignored by the searching algorithm; the blue border showing its spatial extent on the 0th moment map; and the 15~arcmin-long scale bar.} \label{fig-spect} \end{figure} \begin{figure}[!t] \begin{center} \includegraphics[width=\textwidth]{example_moment_map} \end{center} \caption{\footnotesize An example of the moment map created by \duchamp. The full extent of the cube is covered, and the 0th moment of each object is shown (integrated individually over all the detected channels). The purple line indicates the limit of the non-BLANK pixels.} \label{fig-moment} \end{figure} As well as the output data file, a postscript file is created that shows the spectrum for each detection, together with a small cutout image (the 0th moment) and basic information about the detection (note that any flags are printed after the name of the detection, in the format \texttt{[E]}). If the cube was reconstructed, the spectrum from the reconstruction is shown in red, over the top of the original spectrum. The spectral extent of the detected object is indicated by two dashed blue lines, and the region covered by the ``Milky Way'' channels is shown by a green hashed box. An example detection can be seen below in Fig.~\ref{fig-spect}. The spectrum that is plotted is governed by the \texttt{spectralMethod} parameter. It can be either \texttt{peak} (the default), where the spectrum is from the spatial pixel containing the detection's peak flux; or \texttt{sum}, where the spectrum is summed over all spatial pixels, and then corrected for the beam size. The spectral extent of the detection is indicated with blue lines, and a zoom is shown in a separate window. The cutout image can optionally include a border around the spatial pixels that are in the detection (turned on and off by the parameter \texttt{drawBorders} -- the default is \texttt{true}). It includes a scale bar in the bottom left corner to indicate size -- its length is indicated next to it (the choice of length depends on the size of the image). There may also be one or two extra lines on the image. A yellow line shows the limits of the cube's spatial region: when this is shown, the detected object will lie close to the edge, and the image box will extend outside the region covered by the data. A purple line, however, shows the dividing line between BLANK and non-BLANK pixels. The BLANK pixels will always be shown in black. The first type of line is always drawn, while the second is governed by the parameter \texttt{drawBlankEdges} (whose default is \texttt{true}), and obviously whether there are any BLANK pixel present. \secC{Graphical output -- maps} Finally, a couple of images are optionally produced: a 0th moment map of the cube, combining just the detected channels in each object, showing the integrated flux in grey-scale; and a ``detection image'', a grey-scale image where the pixel values are the number of channels that spatial pixel is detected in. In both cases, if \texttt{drawBorders = true}, a border is drawn around the spatial extent of each detection, and if \texttt{drawBlankEdges = true}, the purple line dividing BLANK and non-BLANK pixels (as described above) is drawn. An example moment map is shown in Fig.~\ref{fig-moment}. The production or otherwise of these images is governed by the \texttt{flagMaps} parameter. The moment map is also displayed in a PGPlot XWindow. This feature can be turned off by setting the \texttt{flagXOutput} parameter to \texttt{false} -- this might be useful if running \duchamp\ on a terminal with no window display capability, or if you have set up a script to run it in a batch mode. The purpose of these images are to provide a visual guide to where the detections have been made, and, particularly in the case of the moment map, to provide an indication of the strength of the source. In both cases, the detections are numbered (in the same sense as the output list and as the spectral plots), and the spatial borders are marked out as for the cutout images in the spectra file. Both these images are saved as postscript files (given by the parameters \texttt{momentMap} and \texttt{detectionMap} respectively), with the latter also displayed in a \textsc{pgplot} window (regardless of the state of \texttt{flagMaps}).