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Bricky

Introduction

Bricky is a suite of MATLAB scripts designed to reduce pointing and flux density data from point source RA/Dec scans, and produce beam maps from raster scanning. Bricky works with two channel fits files produced by the observing software Bruce, containing RA/Dec scans using the point procedure (for pointing source flux density measurement, or pointing model servicing), or raster scanning in either RA, Dec or Az, El Coordinates for beam mapping.

Document Contents

• Installation of Bricky
• Data Reduction Strategies
  • Pointing Solution and Model Development
  • Reduction of Flux Density Monitoring Data?
  • Beam Mapping?
  • Data Piplining using MATLAB *.m scripts?
• Function Definitions

Installation

Bricky is capable of running on any computer with the following minimum installed:

• Unix, GNU Linux, Mac OS X or Windows XP
• 512 MB RAM (Minimum)
• 50 MB free HDD space
• MATLAB R13 or later
• MATLAB Toolboxes
  • Signal Processing Toolbox
  • Optimisation Toolbox

The lastest release of the Bricky package can be downloaded from the following locations:

• Bricky 0.91b (Windows Zip file) or
• Bricky 0.91b (GNU *nix Zip Tarball file)

Extact the package in a read/writable directory. For *nix users, simple extract the *.tgz file in the desired directory using the command,

tar -xvzf bricky091b.tgz,

Windows users should choose their favorite flavour of Zip extraction software.

Once the package has been extracted, open MATLAB and set the path to include all the directories and subdirectories where you installed Bricky, this can be selecting the set path option in the file menu and then choose to add a directory and its subdirectorys to MATLAB’s pathdef.m file.

You have now successfully installed Bricky.

Release Notes

Version 0.91 18–8−2007

• Visual fitting option available in ScanPSFit
• Improved non-linear fitting routine
• Removed redundant options in main reduction scripts ScanPSFit, ScanPSCalibration, pointform and matsplit