From Galaxy Zoo DECaLS to BASS+MzLS: detailed galaxy morphological classification with unsupervised domain adaption
Authors/Creators
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1.
Shanghai Astronomical Observatory
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2.
University of Chinese Academy of Sciences
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3.
University of Hertfordshire
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4.
Shanghai Normal University
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5.
Université Clermont Auvergne
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6.
University of California, Irvine
Description
This repository contains the data released in the paper "From Galaxy Zoo DECaLS to BASS+MzLS: Detailed Galaxy Morphological Classification with Unsupervised Domain Adaption".
We release detailed galaxy morphological classification in DESI Legacy Imaging Surveys (LIS) DECaLS, BASS, MzLS for m_r<17.77 galaxies and z<0.15.
-morphology_GZD.csv contains prediction for DESI LIS DECaLS footprint.
-morphology_BMz.csv contains prediction for DESI LIS BASS+MzLS footprint.
They include the information about: ra, dec, {question}_{answer}_alpha,{question}_{answer}_prob,{question}_{answer}_var
Predictions of the Dirichlet parameter alpha for each galaxy on each feature of each problem, with all the original multiple MC Dropout results, are included to make it easier for you to know all the original predictions.
Files
morphology_BMz.csv
Additional details
Dates
- Updated
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2024-08-05