af44766a66
git-svn-id: https://subversion.xor.aps.anl.gov/synApps/areaDetector/trunk@11886 dc6c5ff5-0b8b-c028-a01f-ffb33f00fc8b
557 lines
16 KiB
HTML
Executable File
557 lines
16 KiB
HTML
Executable File
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN"
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"http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd">
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<html xml:lang="en" xmlns="http://www.w3.org/1999/xhtml">
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<head>
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<title>areaDetector Simulation driver</title>
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<meta content="text/html; charset=ISO-8859-1" http-equiv="Content-Type" />
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</head>
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<body>
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<div style="text-align: center">
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<h1 style="text-align: center">
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areaDetector Simulation driver</h1>
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<h2>
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May 19, 2010</h2>
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<h2>
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Mark Rivers and John Hammonds</h2>
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<h2>
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University of Chicago and Argonne National Laboratory</h2>
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</div>
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<p>
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</p>
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<h2>
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Table of Contents</h2>
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<ul>
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<li><a href="#Introduction">Introduction</a></li>
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<li><a href="#Driver_parameters">Simulation driver specific parameters</a></li>
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<li><a href="#Unsupported">Unsupported standard driver parameters</a></li>
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<li><a href="#ImageTypes">Image Types</a>
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<ol>
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<li><a href="#LinearRamp">Linear Ramp</a></li>
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<li><a href="#Peaks">Array of Peaks</a></li>
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<li><a href="#Rings">Array of Rings</a></li>
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</ol>
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</li>
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<li><a href="#Configuration">Configuration</a></li>
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<li><a href="#MEDM_screens">MEDM screens</a></li>
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<li><a href="#Viewers">Image viewers</a></li>
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</ul>
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<h2 id="Introduction">
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Introduction</h2>
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<p>
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simDetector is a driver for a simulated area detector. The simulation detector is
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useful as a model for writing real detector drivers. It is also very useful for
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testing plugins and channel access clients.
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</p>
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<p>
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This driver inherits from <a href="areaDetectorDoc.html#ADDriver">ADDriver</a>.
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It implements nearly all of the parameters in <a href="areaDetectorDoxygenHTML/asyn_n_d_array_driver_8h.html">
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asynNDArrayDriver.h</a> and in <a href="areaDetectorDoxygenHTML/_a_d_driver_8h.html">
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ADArrayDriver.h</a>, with the exception of the file saving parameters, which
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it does not implement. It also implements a few parameters that are specific to
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the simulation detector. The <a href="areaDetectorDoxygenHTML/classsim_detector.html">
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simDetector class documentation</a> describes this class in detail.</p>
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<p>
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The writeInt32 and writeFloat64 methods override those in the base class. The driver
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takes action when new parameters are passed via those interfaces. For example, the
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ADAcquire parameter (on the asynInt32 interface) is used to turn acquisition (i.e.
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computing new images) on and off.
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</p>
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<h2 id="Driver_parameters">
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Simulation driver specific parameters</h2>
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<p>
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The simulation driver-specific parameters are the following:
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</p>
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<table border="1" cellpadding="2" cellspacing="2" style="text-align: left">
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<tbody>
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<tr>
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<td align="center" colspan="7">
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<b>Parameter Definitions in simDetector.cpp and EPICS Record Definitions in simDetector.template</b></td>
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</tr>
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<tr>
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<th>
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Parameter index variable</th>
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<th>
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asyn interface</th>
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<th>
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Access</th>
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<th>
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Description</th>
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<th>
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drvInfo string</th>
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<th>
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EPICS record name</th>
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<th>
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EPICS record type</th>
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</tr>
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<tr>
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<td>
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SimGainX</td>
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<td>
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asynFloat64</td>
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<td>
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r/w</td>
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<td>
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Gain in the X direction</td>
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<td>
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SIM_GAINX</td>
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<td>
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$(P)$(R)GainX<br />
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$(P)$(R)GainX_RBV</td>
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<td>
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ao<br />
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ai</td>
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</tr>
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<tr>
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<td>
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SimGainY</td>
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<td>
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asynFloat64</td>
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<td>
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r/w</td>
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<td>
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Gain in the Y direction</td>
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<td>
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SIM_GAINY</td>
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<td>
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$(P)$(R)GainY<br />
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$(P)$(R)GainY_RBV</td>
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<td>
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ao<br />
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ai</td>
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</tr>
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<tr>
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<td>
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SimGainRed</td>
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<td>
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asynFloat64</td>
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<td>
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r/w</td>
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<td>
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Gain of the red channel</td>
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<td>
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SIM_GAIN_RED</td>
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<td>
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$(P)$(R)GainRed<br />
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$(P)$(R)GainRed_RBV</td>
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<td>
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ao<br />
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ai</td>
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</tr>
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<tr>
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<td>
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SimGainGreen</td>
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<td>
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asynFloat64</td>
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<td>
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r/w</td>
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<td>
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Gain of the green channel</td>
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<td>
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SIM_GAIN_GREEN</td>
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<td>
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$(P)$(R)GainGreen<br />
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$(P)$(R)GainGreen_RBV</td>
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<td>
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ao<br />
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ai</td>
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</tr>
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<tr>
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<td>
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SimGainBlue</td>
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<td>
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asynFloat64</td>
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<td>
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r/w</td>
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<td>
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Gain of the blue channel</td>
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<td>
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SIM_GAIN_BLUE</td>
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<td>
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$(P)$(R)GainBlue<br />
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$(P)$(R)GainBlue_RBV</td>
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<td>
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ao<br />
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ai</td>
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</tr>
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<tr>
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<td>
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SimResetImage</td>
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<td>
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asynInt32</td>
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<td>
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r/w</td>
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<td>
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Set to 1 to reset image back to initial conditions</td>
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<td>
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RESET_IMAGE</td>
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<td>
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$(P)$(R)Reset<br />
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$(P)$(R)Reset_RBV</td>
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<td>
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longout<br />
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longin</td>
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</tr>
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<tr>
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<td>
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SimImageType</td>
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<td>
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asynInt32</td>
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<td>
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r/w</td>
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<td>
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Set the image type to be displayed. Options are:<br/>
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<ul>
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<li>Linear Ramp</li>
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<li>Array of Peaks (mono only)</li>
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<li>Array of Rings (Not yet implemented)</li>
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</ul>
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</td>
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<td>
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SIM_IMAGE_TYPE</td>
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<td>
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$(P)$(R)ImageType<br />
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$(P)$(R)ImageType_RBV</td>
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<td>
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longout<br />
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longin</td>
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</tr>
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<tr>
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<td>
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SimNoise</td>
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<td>
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asynInt32</td>
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<td>
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r/w</td>
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<td>
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Used to introduce randomness. Each affected pixel is assigned a scaling factor.<br/>
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scalingFactor = 1.0 + (rand()%noise +1)/100.0
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</td>
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<td>
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SIM_NOISE</td>
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<td>
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$(P)$(R)Noise<br />
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$(P)$(R)Noise_RBV</td>
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<td>
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longout<br />
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longin</td>
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</tr>
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<tr>
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<td><b>Parameters for Peak Array</b></td>
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</tr>
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<tr>
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<td>
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SimPeaksStartX</td>
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<td>
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asynInt32</td>
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<td>
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r/w</td>
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<td>
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X location of the first peak centroid</td>
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<td>
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SIM_PEAK_START_X</td>
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<td>
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$(P)$(R)PeakStartX<br />
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$(P)$(R)PeakStartX_RBV</td>
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<td>
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longout<br />
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longin</td>
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</tr>
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<tr>
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<td>
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SimPeaksStartY</td>
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<td>
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asynInt32</td>
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<td>
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r/w</td>
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<td>
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Y location of the first peak centroid</td>
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<td>
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SIM_PEAK_START_Y</td>
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<td>
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$(P)$(R)PeakStartY<br />
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$(P)$(R)PeakStartY_RBV</td>
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<td>
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longout<br />
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longin</td>
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</tr>
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<tr>
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<td>
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SimPeaksWidthX</td>
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<td>
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asynInt32</td>
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<td>
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r/w</td>
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<td>
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X width of the peaks</td>
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<td>
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SIM_PEAK_WIDTH_X</td>
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<td>
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$(P)$(R)PeakWidthX<br />
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$(P)$(R)PeakWidthX_RBV</td>
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<td>
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longout<br />
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longin</td>
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</tr>
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<tr>
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<td>
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SimPeaksWidthY</td>
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<td>
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asynInt32</td>
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<td>
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r/w</td>
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<td>
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Y width of the peaks</td>
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<td>
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SIM_PEAK_WIDTH_Y</td>
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<td>
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$(P)$(R)PeakWidthY<br />
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$(P)$(R)PeakWidthY_RBV</td>
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<td>
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longout<br />
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longin</td>
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</tr>
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<tr>
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<td>
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SimPeaksNumX</td>
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<td>
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asynInt32</td>
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<td>
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r/w</td>
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<td>
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Number of peaks in X direction</td>
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<td>
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SIM_PEAK_NUM_X</td>
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<td>
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$(P)$(R)PeakNumX<br />
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$(P)$(R)PeakNumX_RBV</td>
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<td>
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longout<br />
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longin</td>
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</tr>
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<tr>
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<td>
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SimPeaksNumY</td>
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<td>
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asynInt32</td>
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<td>
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r/w</td>
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<td>
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Number of peaks in Y direction</td>
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<td>
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SIM_PEAK_NUM_Y</td>
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<td>
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$(P)$(R)PeakNumY<br />
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$(P)$(R)PeakNumY_RBV</td>
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<td>
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longout<br />
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longin</td>
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</tr>
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<tr>
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<td>
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SimPeaksStepX</td>
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<td>
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asynInt32</td>
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<td>
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r/w</td>
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<td>
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X step between peaks</td>
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<td>
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SIM_PEAK_STEP_X</td>
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<td>
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$(P)$(R)PeakStepX<br />
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$(P)$(R)PeakStepX_RBV</td>
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<td>
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longout<br />
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longin</td>
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</tr>
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<tr>
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<td>
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SimPeaksStepY</td>
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<td>
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asynInt32</td>
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<td>
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r/w</td>
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<td>
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Y location of the first peak centroid</td>
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<td>
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SIM_PEAK_STEP_Y</td>
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<td>
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$(P)$(R)PeakStepY<br />
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$(P)$(R)PeakStepY_RBV</td>
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<td>
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longout<br />
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longin</td>
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</tr>
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<tr>
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<td>
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SimPeakHeightVariation</td>
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<td>
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asynInt32</td>
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<td>
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r/w</td>
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<td>
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Used to introduce randomness. Each gaussian peak in the array is assigned a scaling factor.<br/>
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scalingFactor = 1.0 + (rand()%peakVariation +1)/100.0
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</td>
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<td>
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SIM_PEAK_HEIGHT_VARIATION</td>
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<td>
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$(P)$(R)PeakVariation<br />
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$(P)$(R)PeakVariation_RBV</td>
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<td>
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longout<br />
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longin</td>
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</tr>
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</tbody>
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</table>
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<h2 id="ImageTypes">Image Types</h2>
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<h3 id="LinearRamp">Linear Ramp</h3>
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<p>
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For monochrome images (NDColorMode=NDColorModeMono) the simulation driver initially
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sets the image[i, j] = i*SimGainX + j*SimGainY * ADGain * ADAcquireTime * 1000.
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Thus the image is a linear ramp in the X and Y directions, with the gains in each
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direction being detector-specific parameters. Each subsquent acquisition increments
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each pixel value by ADgain*ADAcquireTime*1000. Thus if ADGain=1 and ADAcquireTime=.001
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second then the pixels are incremented by 1. If the array is an unsigned 8 or 16
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bit integer then the pixels will overflow and wrap around to 0 after some period
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of time. This gives the appearance of bands that appear to move with time. The slope
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of the bands and their periodicity can be adjusted by changing the gains and acquire
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times.
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</p>
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<p>
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For color images (NDColorMode=NDColorModeRGB1, RGB2 or RGB3) there are 3 images
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computed, one each for the red, green and blue channels. Each image is computed
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with the same algorithm as for the monochrome case, except each is multiplied by
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its appropriate gain factor (SimGainRed, SimGainGreen, SimGainBlue). Thus if each
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of these color gains is 1.0 the color image will be identical to the monochrome
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image, but if the color gains are different from each other then image will have
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color bands.</p>
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<h3 id="Peaks">Array of Peaks</h3>
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<p>
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For monochrome images, an array of gaussian peaks is produced. The user specifies the
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start location for the first peak in PeakStartX & PeakStartY. The size of the peak is
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controlled by PeakWidthX and PeakWidthY. The array is specified by giving the number of
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peaks in each direction with PeakNumX and PeakNumY and the step size between peak centroids
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with PeakStepX and PeakStepY. Note that data for each peak is only added to the image over a
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range of four times the PeakWidth in any direction (in the interest of speed).
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</p>
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<p>
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Dynamic behavior can be introduced into the system by changing PeakVariation and Noise
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records. PeakVariation introduces variation on each pixel in the array and Noise introduces
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variation in each pixel.
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</p>
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<p>
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The description for RGB images is the same as for the Linear Ramp. Pixels are computed the same way
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as for monochrome and there is a separate gain for each color.
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</p>
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<h3 id="Rings">Array of Rings</h3>
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<p>
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An array of Rings will be added later.
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</p>
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<h2 id="Unsupported">
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Unsupported standard driver parameters</h2>
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<ul>
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<li>Collect: Number of exposures per image (ADNumExposures)</li>
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<li>Collect: Trigger mode (ADTriggerMode)</li>
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<li>File control: No file I/O is supported</li>
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</ul>
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<h2 id="Configuration">
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Configuration</h2>
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<p>
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The simDetector driver is created with the simDetectorConfig command, either from
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C/C++ or from the EPICS IOC shell.</p>
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<pre>int simDetectorConfig(const char *portName,
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int maxSizeX, int maxSizeY, int dataType,
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int maxBuffers, size_t maxMemory,
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int priority, int stackSize)
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</pre>
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<p>
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The simDetector-specific fields in this command are:</p>
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<ul>
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<li><code>maxSizeX</code> Maximum number of pixels in the X direction for the simulated
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detector.</li>
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<li><code>maxSizeY</code> Maximum number of pixels in the Y direction for the simulated
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detector. </li>
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<li><code>dataType</code> Initial data type of the detector data. These are the enum
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values for NDDataType_t, i.e.
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<ul>
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<li>0=NDInt8</li>
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<li>1=NDUInt8</li>
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<li>2=NDInt16</li>
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<li>3=NDUInt16</li>
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<li>4=NDInt32</li>
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<li>5=NDUInt32</li>
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<li>6=NDFloat32</li>
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<li>7=NDFloat64</li>
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</ul>
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</li>
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</ul>
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<p>
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For details on the meaning of the other parameters to this function refer to the
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detailed documentation on the simDetectorConfig function in the <a href="areaDetectorDoxygenHTML/sim_detector_8cpp.html">
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simDetector.cpp documentation</a> and in the documentation for the constructor
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for the <a href="areaDetectorDoxygenHTML/classsim_detector.html">simDetector class</a>.
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</p>
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<p>
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There an example IOC boot directory and startup script (<a href="simdetector_st_cmd.html">iocBoot/iocSimDetector/st.cmd)</a>
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provided with areaDetector.
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</p>
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<h2 id="MEDM_screens">
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MEDM screens</h2>
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<p>
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The following is the MEDM screen simDetector.adl for the simulation detector.
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</p>
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<div style="text-align: center">
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<h3>
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simDetector.adl</h3>
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<img alt="simDetector.png" src="simDetector.png" />
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</div>
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<p>
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The following is the MEDM screen that provides access to the specific parameters
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for the simulation detector.
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</p>
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<div style="text-align: center">
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<h3>
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simDetectorSetup.adl for Linear Ramp</h3>
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<img alt="simDetectorSetupLinearRamp.png" src="simDetectorSetupLinearRamp.png" />
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</div>
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<div style="text-align: center">
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<h3>
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simDetectorSetup.adl for an array of peaks</h3>
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<img alt="simDetectorSetupPeaks.png" src="simDetectorSetupPeaks.png" />
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</div>
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<h2 id="Viewers">
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Image viewers</h2>
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<p>
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The following is an IDL <a href="areaDetectorViewers.html#IDLViewer">epics_ad_display</a>
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screen using <a href="http://cars.uchicago.edu/software/idl/imaging_routines.html#image_display">
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image_display</a> to display the simulation detector images.
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</p>
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<div style="text-align: center">
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<h3>
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epics_ad_display.pro</h3>
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<img alt="simDetector_image_display.png" src="simDetector_image_display.png" />
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</div>
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<p>
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The following is an ImageJ plugin <a href="areaDetectorViewers.html#ImageJViewer">
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EPICS_AD_Viewer</a> screen displaying color simulation detector images.
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</p>
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<div style="text-align: center">
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<h3>
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ImageJ plugin EPICS_AD_Viewer</h3>
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<img alt="simDetector_ImageJ_display.png" src="simDetector_ImageJ_display.png" />
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</div>
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<div style="text-align: center">
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<h3>
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ImageJ plugin EPICS_AD_Viewer with an Array of Peaks</h3>
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<img alt="simDetector_ImageJ_Peaks.png" src="simDetector_ImageJ_Peaks.png" />
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</div>
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</body>
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</html>
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