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Automation of debris disk detection

Project description

ExoCode

Generates .csv files including data on the existence of various features of interest from the Digitized Sky Survey (DSS), 2-micron All Sky Survey (2MASS), and Wide-field Infrared Survey Explorer (WISE) image catalogs. The goal is to use the data to identify candidates that might have circumstellar debris disks.

Dependent on scikit-image (skimage), matplotlib, numpy, and pyfits.


TO USE:

  • Use dataAcq.py to retrieve the images for one of the provided catalogs in Catalogs/
    • You can also use one of your own, provided the format remains the same: ra,dec (degrees)
    • Data included for tam_cat_sample.csv catalog under FITS/TAM/
  • Use dataGen.py to run analysis on the downloaded images and output the results to a new .csv

Run Guidelines:

New Graphical Interface

  • run application
  • select desired catalog
  • follow prompts to gather data, flip through indices
  • future updates will implement support for image display and easier search through data

Command line: (in exoCode containing directory)

cd exoCode

python dataGen.py

In python:

from exoCode import dataGen

Project details


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Files for exocode, version 1.1.05
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