A random forest that adds X-ray morphological features to core-excised luminosity estimates cluster masses with about 20% less scatter than luminosity alone in simulated Chandra and eROSITA observations.
E., Mantz, A., Allen, S
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Using X-Ray Morphological Parameters to Strengthen Galaxy Cluster Mass Estimates via Machine Learning
A random forest that adds X-ray morphological features to core-excised luminosity estimates cluster masses with about 20% less scatter than luminosity alone in simulated Chandra and eROSITA observations.