Karl G. Jansky VLA Tutorials: Difference between revisions
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* [http://casaguides.nrao.edu/index.php/VLA_CASA_Pipeline VLA CASA Pipeline Guide] (CASA 4.5.3) | * [http://casaguides.nrao.edu/index.php/VLA_CASA_Pipeline VLA CASA Pipeline Guide] (CASA 4.5.3) | ||
* This tutorial | * This tutorial does not require any download. | ||
The VLA CASA Pipeline Guide provides an example of a [https://science.nrao.edu/facilities/vla/data-processing/pipeline VLA CASA pipeline] run. The guide explains the pipeline requirements, pipeline execution options, and pipeline output products. The bulk of the tutorial consists of a detailed walk through the weblog and provides interpretations of the plots and tables. The guide also provides instructions on how to run spectral line and polarization data sets and explains how to edit the scan intents if required. | The VLA CASA Pipeline Guide provides an example of a [https://science.nrao.edu/facilities/vla/data-processing/pipeline VLA CASA pipeline] run. The guide explains the pipeline requirements, pipeline execution options, and pipeline output products. The bulk of the tutorial consists of a detailed walk through the weblog and provides interpretations of the plots and tables. The guide also provides instructions on how to run spectral line and polarization data sets and explains how to edit the scan intents if required. | ||
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== CASA 4.7 versions == | == CASA 4.7 versions == |
Revision as of 04:24, 18 April 2017
Introduction
The Karl G. Jansky Very Large Array (VLA) Tutorials are meant to guide the observer through some common types of data analysis, using example datasets, and including explanations of the individual steps. These analyses will be broadly applicable to many VLA data sets.
If you are new to CASA, you may start with
Getting Started in CASA
VLA Data Reduction Tutorials
Carbon Star IRC+10216: high frequency (36GHz), spectral line data reduction
- IRC+10216 Tutorial (CASA 4.7)
- This tutorial requires to download a dataset 1.1GB in size
Calibrate and make image cubes of the line emission from this asymptotic giant branch star. This is a high-frequency VLA dataset. Includes:
- Inspecting data; basic flagging & calibration
- Subtracting continuum emission
- Imaging the spectral lines
- Imaging the continuum
- Image analysis
- Self-calibration
Supernova Remnant 3C391: 6cm Polarimetry and Continuum Imaging, Mosaicking
- 3C391 Tutorial (CASA 4.7)
- This tutorial requires to download a dataset 3.1GB in size
Calibrate VLA full polarization data, image a mosaic of the region in full Stokes and create a spectral index map. Includes:
- Inspecting data; basic flagging
- Calibration
- Image Analysis and Manipulation
- Polarization Imaging
- Spectral Index imaging
- Self-calibration
3C129 P-band continuum imaging data reduction tutorial
- 3C129 P-band Tutorial (CASA 4.7.0)
- This tutorial requires to download a dataset 26GB in size
This low frequency VLA tutorial for the observation of radio galaxy 3C 129 focuses on low frequency wide-fractional-bandwidth data in the sub GHz regime and demonstrates multi-frequency synthesis imaging with w-projection. This includes:
- Basic flagging and evaluation
- Automatic RFI Excision
- Ionospheric Calibration
- Self - Calibration
- Widefield imaging
VLA Topical Guides
Flagging VLA Data in CASA
- Topical Guide: Flagging VLA Data (CASA 4.7)
- This tutorial requires to download a dataset 4.9GB in size
This tutorial describes different flagging techniques, including:
- Identifying Problematic Antennas from the Operator Logs
- Online Flags (shadowing, zeroes, quacking, flagmanager, Hanning smoothing)
- Automatic RFI excision (TFCrop, RFlag)
- Interactive Flagging
- Flagging Summary & Report
Imaging VLA Data in CASA
- Topical Guide: Imaging VLA Data (CASA 4.7)
- This tutorial requires to download a dataset 1.2GB in size
The Imaging topical guide shows annotated examples of different imaging techniques that are applicable to different science applications. This tutorial includes:
- An Introduction to the CLEAN algorithm, data and imaging weights, primary and synthesized beams
- Clean Output Images
- Dirty Image, Regular CLEAN & RMS Noise, CLEAN with different Weights
- Multi-Scale CLEAN
- Multi-Scale, Wide-Field CLEAN (w-projection)
- Multi-Scale, Multi-Term Frequency Synthesis
- Multi-Scale, Multi-Term Frequency, Widefield CLEAN
- Imaging Outlier Fields
- Primary Beam Correction
- Imaging Spectral Cubes, Beam per Plane
- Image Header, Image Conversion
Correcting for a Spectral Index in Bandpass Calibration
- Topical Guide: Correcting for a Spectral Index in Bandpass Calibration (CASA 4.7)
- This tutorial requires to download a dataset 3.4GB in size
This tutorial explains how to obtain a bandpass solution when the bandpass calibrator is a source with an unknown spectral index. This is typically encountered at high frequency observations, where the standard VLA flux density calibrators are too weak for high signal-to-noise bandpass solutions.
VLA CASA Pipeline Guide
- VLA CASA Pipeline Guide (CASA 4.5.3)
- This tutorial does not require any download.
The VLA CASA Pipeline Guide provides an example of a VLA CASA pipeline run. The guide explains the pipeline requirements, pipeline execution options, and pipeline output products. The bulk of the tutorial consists of a detailed walk through the weblog and provides interpretations of the plots and tables. The guide also provides instructions on how to run spectral line and polarization data sets and explains how to edit the scan intents if required.
CASA 4.7 versions
CASA 4.6 versions
CASA 4.5 versions
CASA 4.4 versions
CASA 4.3 versions
- 3C391 Tutorial Part 1: calibration, imaging (CASA 4.3)
- 3C391 Tutorial Part 2: Image Analysis, Polarization, Self-calibration (CASA 4.3)
CASA 4.2 versions
- 3C391 Tutorial Part 1: calibration, imaging
- 3C391 Tutorial Part 2: Image Analysis, Polarization, Self-calibration
CASA 4.1 versions
- 3C391 Tutorial Part 1: calibration, imaging
- 3C391 Tutorial Part 2: Image Analysis, Polarization, Self-calibration
CASA 3.4 versions
- 3C391 Tutorial Part 1: calibration, imaging
- 3C391 Tutorial Part 2: Image Analysis, Polarization, Self-calibration