Imaging an EVLA OSRO HI data set: Difference between revisions
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For a spectral line dataset like this one, you'll probably want to average in various ways to spot bad data. Averaging channels together can make bad baselines pop up! | For a spectral line dataset like this one, you'll probably want to average in various ways to spot bad data. Averaging channels together can make bad baselines pop up! | ||
== Continuum Subtraction == | |||
First, you'd like to get some signal-to-noise on a spectrum, but for some reason I'm finding this hard to with plotms. I think my pro | |||
[[Main Page | ↵ '''CASA Guides''']] | [[Main Page | ↵ '''CASA Guides''']] | ||
Revision as of 01:26, 15 February 2010
Overview
This tutorial explains how to image an HI dataset acquired with the WIDAR0 correlator. It assumes that you've already calibrated your data as described in the calibration tutorial, and that you now have a split dataset with a single source of interest in it. In this example, the source is called 'Leo-1'; see the calibration tutorial for more details on this data set.
Flag Your Split Data
Load the split dataset into plotms and/or viewer and flag any bad data.
For a spectral line dataset like this one, you'll probably want to average in various ways to spot bad data. Averaging channels together can make bad baselines pop up!
Continuum Subtraction
First, you'd like to get some signal-to-noise on a spectrum, but for some reason I'm finding this hard to with plotms. I think my pro
