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classification tool for minor bodies using reflectance spectra and visual albedos

Project description

PyPI arXiv Code style: black

Note: The classification pipeline is implemented yet the user-interface is minimal so far. I am currently writing my PhD thesis and intend to make classy more user-friendly in July / August of this year. For questions or issues, please use the Issues page of this repository or contact me via email.

Features - Install - Documentation - Data - Development

Features

Classify asteroids in the taxonomic scheme by Mahlke, Carry, Mattei 2022.

$ classy classify path/to/observations.csv
INFO     Looks like we got 2 S, 1 Ee, 1 B, 1 X, 1 Q

Install

classy is available on the python package index as space-classy:

$ pip install space-classy

Documentation

Check out the documentation at classy.readthedocs.io. or run

 $ classy docs

Data

The following data files are provided in this repository (format csv and txt) and at the CDS (format txt):

File csv File txt Content Description
class_templates.csv template.txt Class templates Mean and standard deviation of the VisNIR spectra and visual albedos for each class.
class_visnir.csv classvni.txt Classifications of the VisNIR sample. Classes derived for the 2983 input observations used to derive the taxonomy.
class_vis.csv classvis.txt Classifications of the vis-only sample. Classes derived for the 2923 input observations containing only visible spectra and albedos.
class_asteroid.csv asteroid.txt Class per asteroid Aggregated classifications in VisNIR and vis-only samples with one class per asteroid.
ref_spectra.csv refspect.txt References of spectra The key to the spectra references used in the classification tables.
ref_albedo.csv refalbed.txt References of albedos The key to the albedo references used in the classification tables.

More information on each file can be found in the data/ReadMe.

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