Mahlke+ 2022

taxonomies/gfx/class_overview.png taxonomies/gfx/class_overview_dark.png

Observables

Reflectance Spectra, Visual Albedo

Wavelength Range

0.45-2.45µm, or any subset of this range

Number of Classes

16

Class Assignment

Probabilistic

There are 16 classes plus the common placeholder class X for asteroids of either E, M, or P type without albedo information.

Any asteroid classified as B, C, or P type is classified as Ch if the h feature is present. The classes E, M, P (and X) can further carry the feature flags e and k. can further carry the feature flags e and k if the corresponding features are present.

The spectral class templates can be loaded using the classy.taxonomies.mahlke.load_templates() function, which returns a dict containing the classes as keys and the template spectra as values.

The following preprocessing steps are automatically done when using the classy.Spectrum.classify() method:

  • Feature Detection

  • Resampling to common wavelength grid

  • Log-transform of reflectance (ln) and albedo (log10)

  • Normalisation using mixnorm algorithm

The preprocessing does not change the wave and refl attributes of the spectrum.

The classification results are probabilistic, meaning that the classified spectrum has a certain probability to belong to a given class. These probabilities are accessible via the class_CLASS attributes, where CLASS should be replaced by the respective class letter. The most probable class is assigned to the class_ attribute.

$ classy classify ceres --plot --taxonomy mahlke
taxonomies/gfx/ceres_classification.png taxonomies/gfx/ceres_classification_dark.png
>>> import classy
>>> ceres = classy.Spectra(1, source="ECAS")[0] # get ECAS spectrum of (1) Ceres
>>> ceres.classify()  # taxonomy='mahlke' is default
>>> ceres.class_
'C'
>>> ceres.class_C
0.9597002617708775
>>> ceres.class_B
0.03962395712733269