Accurate and computationally efficient photometric redshift estimation is essential for cosmological analyses and studies of the large-scale structure of the Universe. However, applying existing template-fitting and machine learning methods to rapidly growing survey data sets can involve trade-offs between predictive p...
Yu-Chen He, Jing-Jing Wu, Bin Jiang et al.· Publications of the Astronom...· 0 citations
Fast radio bursts (FRBs) are millisecond-duration extragalactic pulses whose discovery requires searches over large signal-parameter spaces and the rejection of candidate sets dominated by radio-frequency interference and noise. Integrating quantum processors into FRB searches requires a workflow connecting telescop da...
A novel white-box approach to photometric data classification using Symbolic Regression, which enables not only efficient classification but also the discovery of new astrophysical insights, offering a clearer path toward understanding the underlying physical processes of celestial phenomena.
Yu-Chen He, Yanhao Cui, Jingjing Wu et al.· Publications of the Astronom...· 0 citations
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