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What is Estimating Galaxy Cluster Mass Accretion Rates about?
This document presents a novel machine learning model designed to estimate the mass accretion rates of galaxy clusters using X-ray and thermal Sunyaev-Zeldovich observations. The model, trained on idealized mock observations from the MillenniumTNG simulation, demonstrates a significant reduction in scatter compared to existing methods, achieving 68% accuracy within 33% of true values. The study highlights the importance of mass accretion rates in understanding galaxy cluster structure and cosmological impli
- Author
- wasimujahid1
- Language
- EN