ALMA SIS14: Difference between revisions
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= Individual Lessons = | = Individual Lessons = | ||
== Getting Oriented in CASA == | === Getting Oriented in CASA === | ||
We'll begin by getting you oriented in CASA. | We'll begin by getting you oriented in CASA. | ||
| Line 12: | Line 12: | ||
* Orienting yourself with a new data set | * Orienting yourself with a new data set | ||
== Calibrating Data == | === Calibrating Data === | ||
Next we'll look at how we calibrate data. | Next we'll look at how we calibrate data. | ||
* The three columns and basic calibration flow | |||
* Basic phase and amplitude calibration | * Basic phase and amplitude calibration | ||
* Applying calibrations | * Applying calibrations | ||
* Flux calibration | * Flux calibration and models | ||
* Bandpass calibration | * Bandpass calibration | ||
== Flagging Data == | === 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." | 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." | ||
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* Basic data inspection | * Basic data inspection | ||
== Imaging == | === Manipulating Data == | ||
* Splitting and averaging data | |||
=== Imaging === | |||
* Demonstrating the effect of calibration - your first imaging example | * Demonstrating the effect of calibration - your first imaging example | ||
| Line 34: | Line 40: | ||
* Basic line imaging | * Basic line imaging | ||
* UV continuum subtraction | * UV continuum subtraction | ||
=== Analysis === | |||
* Derive image statistics | |||
* Make moment maps | |||
* Fit a Gaussian | |||
= More Reading = | = More Reading = | ||
Revision as of 15:40, 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
Imaging
- Demonstrating the effect of calibration - your first imaging example
- Basic continuum imaging
- Basic line imaging
- UV continuum subtraction
Analysis
- Derive image statistics
- Make moment maps
- Fit a Gaussian
