Papers › Deep Learning Segmentation of Spiral Arms and Bars

Deep Learning Segmentation of Spiral Arms and Bars

5 Dec 2023arXiv:2312.02908archive 2025-07-28

Mike Walmsley, Ashley Spindler

We present the first deep learning model for segmenting galactic spiral arms and bars. In a blinded assessment by expert astronomers, our predicted spiral arm masks are preferred over both current automated methods (99% of evaluations) and our original volunteer labels (79% of evaluations). Experts rated our spiral arm masks as `mostly good' to `perfect' in 89% of evaluations. Bar lengths trivially derived from our predicted bar masks are in excellent agreement with a dedicated crowdsourcing project. The pixelwise precision of our masks, previously impossible at scale, will underpin new research into how spiral arms and bars evolve.

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dr2_style_rgb mwalmsley/zoobot-3d/zoobot_3d/utils.py official repository ran no licence file found · pointer only · e5c430b39274f68e · report
fits_to_png mwalmsley/zoobot-3d/zoobot_3d/utils.py official repository ran no licence file found · pointer only · db6d6ccb6c630dc4 · report
get_beta_mean mwalmsley/zoobot-3d/zoobot_3d/gz3d_pytorch_model.py official repository ran fingerprinted no licence file found · pointer only · b2869c020c80c73f · report
get_beta_variance mwalmsley/zoobot-3d/zoobot_3d/gz3d_pytorch_model.py official repository ran fingerprinted no licence file found · pointer only · b08bba13c3b2fb3d · report
get_encoder_dim mwalmsley/zoobot-3d/zoobot_3d/gz3d_pytorch_model.py official repository ran no licence file found · pointer only · b9c9d181e8b873a7 · report
nonlinear_map mwalmsley/zoobot-3d/zoobot_3d/utils.py official repository ran fingerprinted no licence file found · pointer only · 7288b4416a5ade8c · report
predict_transform mwalmsley/zoobot-3d/predict.py official repository ran no licence file found · pointer only · 3ed9cec6226474d0 · report
load_image mwalmsley/zoobot-3d/zoobot_3d/pytorch_dataset.py official repository unverified no licence file found · pointer only · e86b6a1fbe7fe28d · report

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