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
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