KNN classification and hybrid decision-tree photometric redshift estimation applied to DES DR2 data yields a quasar catalog of 872k objects with reported performance metrics.
HI intensity mapping with FAST
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abstract
We discuss the detectability of large-scale HI intensity fluctuations using the FAST telescope. We present forecasts for the accuracy of measuring the Baryonic Acoustic Oscillations and constraining the properties of dark energy. The FAST $19$-beam L-band receivers ($1.05$--$1.45$ GHz) can provide constraints on the matter power spectrum and dark energy equation of state parameters ($w_{0},w_{a}$) that are comparable to the BINGO and CHIME experiments. For one year of integration time we find that the optimal survey area is $6000\,{\rm deg}^2$. However, observing with larger frequency coverage at higher redshift ($0.95$--$1.35$ GHz) improves the projected errorbars on the HI power spectrum by more than $2~\sigma$ confidence level. The combined constraints from FAST, CHIME, BINGO and Planck CMB observations can provide reliable, stringent constraints on the dark energy equation of state.
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Photometric classification of quasars from DES and photo-$z$ estimation with Machine Learning
KNN classification and hybrid decision-tree photometric redshift estimation applied to DES DR2 data yields a quasar catalog of 872k objects with reported performance metrics.