exocode 1.2.02

Automation of debris disk detection

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.

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.

Lives at https://bitbucket.org/leckman/exoplanets/overview

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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:

Command line: (in exoCode containing directory)

cd exoCode

python dataGen.py

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 $ ./GUI.sh in containing directory

  • alternatively, use $ python GUI.py

Full Documentation: https://docs.google.com/document/d/1-QtbvASw43S03IHlEPk4qlstk8aNtAmu8uT2uNk6otY/edit?usp=sharing