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MOPEX User's Guide - IRSA

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For instructions on how to run <strong>MOPEX</strong> on the command line, see Chapter 9.<br />

<strong>MOPEX</strong> User’s <strong>Guide</strong><br />

***NEW*** Note that with version 18.5.0 one can use multiprocessing to speed up <strong>MOPEX</strong><br />

tasks. The tasks Overlap, Mosaic, Apex (Multi) and Apex User List (Multi) now allow<br />

multiprocessing of some steps. In the GUI, this is set in Initia l Setup, Multi-Processing Mode.<br />

The options are "on", "off", and "manual". The default is "on" -- this grabs 3/4 of the available<br />

processors. Setting "manual" lets the user set the number of processors used. You should see<br />

speed-ups of at least 2x.<br />

If using command-line, add these lines at the top of your namelist:<br />

do_multiprocess = on | off | manual default = off<br />

ncpu_multiprocess = 1 default = 1<br />

If "manual" is set, set ncpu_multiprocess to the number of processors to use.<br />

2.2.1 Encountering Error Messages in <strong>MOPEX</strong><br />

If <strong>MOPEX</strong> encounters any problems during the reduction, it will stop and open an error message<br />

window. If the explanation in the error message in unclear, you can check the log file found in<br />

~/.spot/ for further information. If you are still stuck and have checked the manual, the <strong>MOPEX</strong><br />

Bug List and the FAQ, please contact the Spitzer Helpdesk for assistance.<br />

2.3 Basic Processing Steps in <strong>MOPEX</strong><br />

Here we outline the steps in a typical <strong>MOPEX</strong> task: combining a stack of FITS images into a<br />

mosaic and doing point-source photometry, then looking at the residuals. Spitzer Data Analysis<br />

Cookbook: Recipe 7 shows how to link all these pipelines together.<br />

1. Data Input<br />

<strong>MOPEX</strong> reads in the data frames, the associated uncertainty frames, and the associated<br />

bad pixel masks from user-created lists in ASCII format.<br />

2. Fiducial Image Frame (FIF) Generation<br />

A unified grid coordinate system is generated, which defines a common grid onto which<br />

the input images will be projected. The spatial boundaries of the FIF include all of the<br />

input images.<br />

3. Background Matching<br />

Overview of <strong>MOPEX</strong> 9<br />

Basic Processing Steps in <strong>MOPEX</strong>

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