ALMA SIS14: Difference between revisions
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* Splitting and averaging data | * Splitting and averaging data | ||
* | * Manipulating the three columns | ||
=== Imaging === | === Imaging === | ||
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* Basic line imaging | * Basic line imaging | ||
* UV continuum subtraction | * UV continuum subtraction | ||
=== Self-Calibration === | |||
* Basic self-calibration | |||
* Averaging in self-calibration | |||
* Self-calibration tips and tricks | |||
=== Analysis === | === Analysis === | ||
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* Derive image statistics | * Derive image statistics | ||
* Make moment maps | * Make moment maps | ||
* Fit a | * Fit a gaussian | ||
* Inspection using the viewer | * Inspection using the CASA viewer | ||
= More Reading = | = More Reading = | ||
Revision as of 11:46, 25 February 2014
Overview
Data Description
Individual Lessons
Getting Oriented in CASA
We'll begin by getting you oriented in CASA.
- Your first task and script
- Orienting yourself with a new data set
Calibrating Data
Next we'll look at how we calibrate data.
- The three columns and basic calibration flow
- Basic phase and amplitude calibration
- Applying calibrations
- Flux calibration and models
- Bandpass calibration
Flagging Data
A large part of the human input to data reduction comes from identifying problematic data, which is usally removed from the data set in a process called "flagging."
- Basic flagging
- Basic data inspection
Manipulating Data
- Splitting and averaging data
- Manipulating the three columns
Imaging
- Demonstrating the effect of calibration - your first imaging example
- Basic continuum imaging
- Basic line imaging
- UV continuum subtraction
Self-Calibration
- Basic self-calibration
- Averaging in self-calibration
- Self-calibration tips and tricks
Analysis
- Derive image statistics
- Make moment maps
- Fit a gaussian
- Inspection using the CASA viewer
