ALMA SIS14: Difference between revisions

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== Overview ==
= Overview =


== Data Description ==
= Data Description =


== Mini-Tutorials ==
= Individual Lessons =
 
=== Getting Oriented in CASA ===
 
We'll begin by getting you oriented in CASA.


* Your first task and script
* Your first task and script
* Orienting yourself with a new data set
* Orienting yourself with a new data set


* Basic phase and amplitude calibration
=== Calibrating Data ===
* Demonstrating the effect of calibration
 
* Applying calibrations
Next we'll look at how we calibrate data.
* Flux calibration
 
* Bandbpass calibration
* The three columns and basic calibration flow
* [[ALMA_SIS14_apcal|Basic phase and amplitude calibration]]
* [[ALMA_SIS14_applycal|Applying calibrations]]
* [[ALMA_SIS14_fluxcalqso|Flux calibration using a quasar]]
* [[ALMA_SIS14_fluxcalplanet|Flux calibration using a solar system body]]
* [[ALMA_SIS14_bandpass|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 flagging
* Basic data inspection
* Basic data inspection


== More Reading ==
=== Manipulating Data ===
 
* Splitting and averaging data
* Manipulating the three columns
* Combining several data sets
 
=== 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
 
= More Resources =

Latest revision as of 19:37, 26 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.

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
  • Combining several data sets

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

More Resources