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Data Access
Working With Data

Working With Data

Analysis and working with GAVRT Solar Patrol Data is comprised of the following tasks:
  1. Read data source and plot raster scan data.
  2. Create 2D, two dimensional, map from grid scan data.
  3. Create 2D map from grid scan data subtracting base line and calibrating for brigthness temperature.
  4. Subtrace active regions, find quiet sun centroid, and apply pointing corrections.
  5. Iterate on brightness temperature calibration with pointing corrected and active region subtracted quiet sun.
  6. Rotate Sun map with North pointing at the top.
  7. Write FITS maps.
 
Our very own citizen scientist Tushar Agarwal has worked with Dr. Thangasamy Velusamy to complete the first three tasks. Tushar has graciously provided his code in the document below. The document includes information for downloading and installing Python as well as the necessary packages which can be installed using the package insaller for Python or pip. The source data is also included for you to work with and map. The data was recorded on DOY 145 (May 25th), 2021. The raster scan ID is 932. Additional data sources can be found in the raw data archive below.
 

Working with Data Code Examples

Raster Scan Source Data

 
M2 Solar Flare - November 2021

M2 Solar Flare - November 2021

GAVRT will continuously upload raw and processed data sets for you to access. Data files are stored in the tar.gz zip format which can be unzipped by a variety of programs resident to your operating system or found on the Internet. Each data set contains a processed image of scans for the day, FITS files for creating your own images, and the associated raw data. A tutorial for working with this data is in development along with an interactive data access tool. Stay tuned!
 
Below are a few example data sets which include an exciting M2 solar flare which was captured by our radio telescope on November 9th, 2021.
 
M2 Solar Flare Raster Scans

M2 Solar Flare Raster Scans

GAVRT will continuously upload raw and processed data sets for you to access. Data files are stored in the tar.gz zip format which can be unzipped by a variety of programs resident to your operating system or found on the Internet. Each data set contains a processed image of scans for the day, FITS files for creating your own images, and the associated raw data. A tutorial for working with this data is in development along with an interactive data access tool. Stay tuned!
 
Below are a few example data sets which include an exciting M2 solar flare which was captured by our radio telescope on November 9th, 2021.
 
 

Raw Data Archive

Full data archive from DSS-28.
 

December 2021

 
 

November 2021

 
 

October 2021

 
 

September 2021

 
 

August 2021

 
 

July 2021

 
 

June 2021

 
 

May 2021

 
 

April 2021

 
 

March 2021