Multi-band EBL intensity mapping cross-correlated with cosmic shear and galaxy clustering recovers IHL, IGL, and EoR parameters with 10-35% smaller uncertainties than intensity mapping alone.
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CONDITIONAL 2representative citing papers
KNN imputation gives highest photo-z accuracy under ideal random missingness with complete training data, while SAITS is more robust for incomplete training sets and realistic mixed missingness patterns in CSST data.
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Euclid preparation. Decomposing components of the extragalactic background light using multi-band intensity mapping cross-correlations
Multi-band EBL intensity mapping cross-correlated with cosmic shear and galaxy clustering recovers IHL, IGL, and EoR parameters with 10-35% smaller uncertainties than intensity mapping alone.
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Comparative analysis of missing data imputation methods for CSST survey: Impact on photometric redshift estimation performance
KNN imputation gives highest photo-z accuracy under ideal random missingness with complete training data, while SAITS is more robust for incomplete training sets and realistic mixed missingness patterns in CSST data.