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Automation of debris disk detection

Project description


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.

This release (1.2.0) includes catalogs tycho_2mass_wise-XMATCH-POS.csv (full catalog), RandSample+1000.csv, RandSample+2000.csv, and tam_cat_sample.csv. Pre-downloaded images from tam_cat_sample.csv are available for your convenience in FITS/Tam/. All other catalogs must first have images downloaded to be useful.

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


  • Use 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 to run analysis on the downloaded images and output the results to a new .csv

Run Guidelines:

Command line: (in exoCode containing directory)

cd exoCode


In python:

from exoCode import dataGen

New Graphical Interface

  • run application
  • select desired catalog
  • follow prompts to gather data, flip through indices, display images
  • can be run using $ ./ in containing directory
    • alternatively, use $ python

‘Documentation <>’_

Project details

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