Karl G. Jansky VLA Tutorials: Difference between revisions

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* Spectral Index imaging
* Spectral Index imaging
* Self-calibration  
* Self-calibration  
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* '''P-band continuum imaging data reduction tutorial'''  (CASA 4.6)
<blockquote>
* [[P-band basic data reduction]]
* This tutorial requires to download a dataset <font color=orange>21GB</font> in size
</blockquote>
<blockquote>
This low-frequency VLA tutorial for the observation of a giant radio remnant focuses on low frequency wide-fractional-bandwidth data in the sub GHz regime .  This includes:
* Basic flagging and evaluation
* Automatic RFI Excision
* Ionospheric Calibration
* Self - Calibration
</blockquote>
</blockquote>



Revision as of 03:59, 17 May 2016

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 (CASA 4.6)
  • 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 (CASA 4.6)
  • 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


  • P-band continuum imaging data reduction tutorial (CASA 4.6)
  • This tutorial requires to download a dataset 21GB in size

This low-frequency VLA tutorial for the observation of a giant radio remnant focuses on low frequency wide-fractional-bandwidth data in the sub GHz regime . This includes:

  • Basic flagging and evaluation
  • Automatic RFI Excision
  • Ionospheric Calibration
  • Self - Calibration

VLA Topical Guides

VLA Tutorials for more Advanced Users

  • Supernova SN2010FZ: Wide-band, narrow-field imaging; C-band (5-7 GHz) (CASA 4.4)
  • This tutorial requires to download a dataset 2.9GB in size

Calibrate and image a galaxy field for this mid-frequency VLA observation. This includes:

  • Excising RFI from the data
  • Basic flagging and calibration steps
  • Imaging from one spectral window to full dataset
  • Using multi-scale, multi-frequency synthesis
  • Image analysis
  • Protostar G192.16-3.84: Wide-band, narrow-field imaging using 3-bit sampled data; Ka-band (27-38 GHz) (CASA 4.4)
  • This tutorial requires the download of an 18GB dataset

Calibrate and image a protostar for this high-frequency VLA observation taken using the 3-bit samplers. Note that this tutorial can be used as a guide for 8-bit data as well. This includes:

  • Deleting bad data and RFI
  • Basic calibration, including tropospheric opacity and requantizer gain corrections
  • Bootstrapping to determine the spectrum of the bandpass calibration source
  • Imaging from a single spectral window to the full dataset
  • Using multi-frequency synthesis imaging
  • Image analysis
  • Supernova G55.7_3.4: Wide-band, wide-field imaging; L-band (1-2 GHz) (CASA 4.4)
  • This tutorial requires to download a dataset 14GB in size

This low-frequency VLA tutorial for the observation of a supernova remnant focuses on RFI excision as well as imaging wide-field and wide-fractional-bandwidth data. This includes:

  • Basic flagging and evaluation
  • Different methods for automatic RFI excision
  • Calibrating the data
  • Exploring different imaging options: widefield, multi-scale, and multi-frequency synthesis



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