Code Monkey home page Code Monkey logo

simulation-in-casa's Introduction

Simulation-in-CASA

Construct interesting data sets to be used for feature demonstrations, test scripts, bug reports and scientific characterization of numerical features in CASA. Each folder in this repository contains its own README.md with information about how to set up and run each set of scripts and notebooks.


Simulations scripts and demo notebooks in this repository :

  • Basic Simulations : A demo of how to construct a Measurement Set, populate it with visibilities predicted from a sky model, corrupt it with noise and/or antenna gains, and then calibrate and image it.

  • Heterogeneous Array Simulations : A demo of how to construct a heterogeneous array dataset, including cross-baselines, for a mosaic observation, including visibility prediction and imaging for the case of two different antenna sizes (using CASA's mosaic gridder). These simulations are scaled-down demos for use cases of ALMA 12m + 7m with cross baselines, the NGVLA with 18m and 6m antennas used together, and the specification of arbitrary primary beam models as images. Numerical results are compared against theoretically calculated and predicted estimates for an absolute measure of accuracy.

  • Multiscale Wideband Simulations : A demo and comparison of the Hogbom, MS-Clean, MT-MFS, (and soon) Asp and MT-Asp deconvolution algorithms. Simulation datasets include compact and extended emission with varying degrees of complexity in both spatial and spectral structure. The purpose is to perform a direct comparison of deconvolution algorithms and cube vs mtmfs for the recovery of spatial and spectral characteristics.

  • Widefield Wideband Simulations : Demos to quantify the accuracy at which wideband mosaic reconstructions are currently possible using CASA imaging options. Currently, a notebook exists to demo all currently available options. Additional demos will be added for thorough numerical characterization, as well as include options such as linear mosaics for multi-term wideband imaging. Imaging options that will be evaluated against simulated truth are the 'mosaic' and 'awproject' gridders, along with hogbom deconvolution of point sources.





  • To be added later
    • More detailed Wideband Mosaic Simulations : Scripts to construct a wideband mosaic simulated dataset using a sky model derived from SKADS and wide-field effects such as primary beam squint, rotation, frequency-dependence and sidelobe structure (using CASA's awproject gridder). These simulations were used for an analysis of wideband mosaic imaging accuracy.
    • Single Dish and Interferometer Combination : Scripts to simulate single dish images and wideband mosaic interferometer data to use for testing joint single dish and interferometer combination algorithms. These simulations were used to develop the SDINT joint reconstruction algorithm.

simulation-in-casa's People

Contributors

urvashirau avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.