MOPEX User's Guide - IRSA

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MOPEX User’s Guide http://irsa.ipac.caltech.edu/data/SPITZER/docs/dataanalysistools/tools/mopex/download mopex/ • MOPEX Bug List: http://irsa.ipac.caltech.edu/data/SPITZER/docs/dataanalysistools/tools/mopex/mopexbug/ • Spitzer Helpdesk: http://irsa.ipac.caltech.edu/data/SPITZER/docs/spitzerhelpdesk/ 1.2 User Interface The Graphical User Interface (GUI) and the command-line versions of MOPEX are packaged and released together, and all updates to both versions are done through the GUI. Both versions use the same set of C++ and C programs to carry out the data reduction. Generally, users may wish to start with the GUI as it provides a more intuitive interface, nice visualization of each processing step and its output, and includes useful image display tools. Users may use the command-line version to script their data reduction, take advantage of the slightly faster processing time, or to use some of the additional functionality not yet available through the GUI. 1.3 Getting Help Online help for MOPEX is available from the Help function in the GUI. A full list of the known bugs, along with suggested solutions or work-arounds, can be found on the MOPEX Bug List. The Spitzer Helpdesk also contains a KnowledgeBase of frequently asked questions. If you still have questions about MOPEX then you can get help by submitting a ticket to the Spitzer Helpdesk or emailing us at help@spitzer.caltech.edu. Please help us by including the following information: • The operating system you are running (e.g. Mac OS10.6 or Linux RHEL); • Which version of MOPEX you’re using (GUI or command line) and the version number (e.g. 18.5.0 Final); • The AOR ID of your data (if Spitzer data); • Attach your namelist, unless it’s a standard MOPEX template, in which case tell us which one; • A description of the error message you saw; Introduction 2 User Interface
MOPEX User’s Guide • If you are using the GUI, please attach the most recent log file, found in the directory ~/.spot/ • As much information as possible about the problem, including any processing steps you carried out since downloading the data from the archive. Please note that our system does not autoreply, so if you receive a reply from us within a few minutes then please check it for further information. 1.4 Why MOPEX? MOPEX provides a general-purpose tool to generate mosaics of FITS images and to perform point source extraction. While other tools are available for these tasks, MOPEX addresses several complications specific to Spitzer data: • Geometric Distortion: Spitzer images have significant geometric distortion, described in the FITS header using the World Coordinate System (WCS). Mosaicking and photometry must accurately interpret this information, which is not yet standard in all packages. • Fast Projection: Large Spitzer mosaics include many images, so a fast method is required when performing the projection. MOPEX’s fast direct plane-to-plane projection is described in Makovoz, D. 2004, PASP, 116, 971-974. • Outlier Rejection: Like many datasets, Spitzer data suffer from cosmic rays and other artifacts. The best algorithm for rejecting these outliers depends upon the observing mode, e.g. simple temporal outlier rejection works well with highly redundant sky coverage, but it can fail without it. MOPEX has single-frame spatial, temporal and two spatial-plus-temporal outlier rejection methods that can be adjusted for different observing modes. • Profile Fitting: Spitzer pixels are relatively big relative to point sources, so MOPEX fits with Point Response Functions (PRFs), which take into account intra-pixel sensitivities. For multi-frame photometry, MOPEX does detection on a mosaic image, but pointsource fitting on the original stack of images. In addition to solving these specific problems, MOPEX provides some useful tools for mosaicking and source extraction. Mosaicking options include background matching, drizzle interpolation, exposure time weighting, and error propagation. Photometry options include detection using image segmentation, use of a previous list of detected positions for photometry, aperture photometry, and residual image generation. Introduction 3 Why MOPEX?
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OUTPUT None DISCUSSION MOPEX User
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DISCUSSION MOPEX User’s Guide For
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DISCUSSION No further information.
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PURPOSE MOPEX User’s Guide The in
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MOPEX User’s Guide The tile speci
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Mosaic Coverage File (mosaic_cov.fi
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There are no user-defined input par
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COMMAND LINE INPUT See INPUT. OUTPU
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MOPEX User’s Guide limitations di
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6.3 Running APEX MOPEX User’s Gui
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MOPEX User’s Guide Point Source D
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Figure 6.1: Overview of the main pr
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Relevant Pipelines: All PURPOSE INP
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NICE = 1 save_namelist = 1 MOPEX Us
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MOPEX User’s Guide Mosaic PRF Fil
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create_unc_mosaic = 1 use_std_to_de
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⎛ ⎜ ⎜ P( j) = ⎜ 1+ ⎜ ⎜
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&END OUTPUT MOPEX User’s Guide Th
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INPUT Columns selection: MOPEX User
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MOPEX User’s Guide given below. O
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6.5.19 APEX Modules: Aperture Photo
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MOPEX User’s Guide Mosaic PRF Fil
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7.3 Running PRF Estimate MOPEX User
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PURPOSE MOPEX User’s Guide Set up
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MOPEX User’s Guide Most users wil
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DISCUSSION MOPEX User’s Guide Wit
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7.5.5 PRF Estimate Modules: Split B
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MOPEX User’s Guide Fit Seed: (int
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Chapter 8. Basic Concepts in MOPEX
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8.2 Outlier Detection MOPEX User’
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T cl = P min − T min SegLevel MOP
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Centroid _ X = ∑ i∈cluster X(i)
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z n = ∑ r(r≠n ) Onr(I n − Ir
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MOPEX User’s Guide the parameter
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Appendix A. Full List of MOPEX Scri
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A.1.3 Under Construction Running MO
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Instrument PRF Samp c Norm Radius (
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Some Tips for MOPEX with Spitzer Da
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