VLA Self-calibration Tutorial-CASA5.7.0: Difference between revisions

From CASA Guides
Jump to navigationJump to search
Line 9: Line 9:
__TOC__
__TOC__
=== Introduction ===
=== Introduction ===
This CASA guide describes the basics of the self-calibration process and in particular how to choose parameters to achieve the best result. Even after the initial calibration of the dataset using the amplitude calibrator and the phase calibrator, there are likely to be residual phase and/or amplitude errors in the data. Self-calibration is the process of using an existing model, often constructed from imaging the data itself, to reduce the remaining phase and amplitude errors in your image.


=== Data for this Tutorial ===
=== Data for this Tutorial ===

Revision as of 14:29, 14 May 2019


This page is currently under construction.

Introduction

This CASA guide describes the basics of the self-calibration process and in particular how to choose parameters to achieve the best result. Even after the initial calibration of the dataset using the amplitude calibrator and the phase calibrator, there are likely to be residual phase and/or amplitude errors in the data. Self-calibration is the process of using an existing model, often constructed from imaging the data itself, to reduce the remaining phase and amplitude errors in your image.

Data for this Tutorial

text

Initial Imaging

more text

Link to the task tclean


# in CASA
tclean( vis=...