Simulations show SPHEREx photometry is generally unbiased but source blending drives outliers; with brightness selection, photometric redshifts reach σ_NMAD ≈ 0.003-0.01 and cluster redshifts are recovered to |Δz|/(1+z) < 0.002 at z ≲ 0.5.
J., Csabai, I., Szalay, A
2 Pith papers cite this work, alongside 332 external citations. Polarity classification is still indexing.
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Random Forest regression on combined optical plus mid-infrared colors yields NMAD of 0.0188, R-squared of 0.9561, and 0.294 percent outliers for photometric redshifts in 23,797 Seyfert II galaxies selected from SDSS and WISE.
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The SPHEREx View of Galaxy Clusters: A Simulation-based Validation of the Forced Photometry Pipeline for Extended Sources
Simulations show SPHEREx photometry is generally unbiased but source blending drives outliers; with brightness selection, photometric redshifts reach σ_NMAD ≈ 0.003-0.01 and cluster redshifts are recovered to |Δz|/(1+z) < 0.002 at z ≲ 0.5.
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Predicting Redshift in Seyfert Galaxies Using Machine Learning
Random Forest regression on combined optical plus mid-infrared colors yields NMAD of 0.0188, R-squared of 0.9561, and 0.294 percent outliers for photometric redshifts in 23,797 Seyfert II galaxies selected from SDSS and WISE.