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.
---------------
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)
--- Use dataGen.py to run analysis on the downloaded images and output the results to a new .csv
You should only have to touch the offset code at the top of each program (denoted 'EDITABLE')
to accomplish your analysis
Run Guidelines:
**Assumes data_container variables in each script are equivalent**
Command line:
>>> cd exoCode
>>> python dataAcq.py
>>> python dataGen.py
In python:
>>> from exoCode import dataAcq
>>> from exoCode import dataGen
---------------
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.
---------------
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)
--- Use dataGen.py to run analysis on the downloaded images and output the results to a new .csv
You should only have to touch the offset code at the top of each program (denoted 'EDITABLE')
to accomplish your analysis
Run Guidelines:
**Assumes data_container variables in each script are equivalent**
Command line:
>>> cd exoCode
>>> python dataAcq.py
>>> python dataGen.py
In python:
>>> from exoCode import dataAcq
>>> from exoCode import dataGen
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