Kernel density estimation improves radio source count estimation over binned methods, as shown in simulations and LOFAR data analysis, with a new AstroKDE package.
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Shape-preserving LADE models with fixed local LF shape provide the statistically preferred description of UV QLF evolution to z~7.5 over flexible alternatives based on AIC/BIC.
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Improving Radio Source Count Estimation Using Kernel Density Estimation
Kernel density estimation improves radio source count estimation over binned methods, as shown in simulations and LOFAR data analysis, with a new AstroKDE package.
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Shape-Preserving Evolution of the Global Ultraviolet Quasar Luminosity Function to $z\simeq7.5$
Shape-preserving LADE models with fixed local LF shape provide the statistically preferred description of UV QLF evolution to z~7.5 over flexible alternatives based on AIC/BIC.