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Using sparse gaussian processes for predicting robust inertial confinement fusion implosion yields
(arXiv, 2019)
Here we present the application of an advanced
Sparse Gaussian Process based machine learning algorithm to
the challenge of predicting the yields of inertial confinement
fusion (ICF) experiments. The algorithm is used ...
Extracting the global signal from 21-cm fluctuations: the multitracer approach
(Oxford University Press, 2019)
The multitracer technique employs a ratio of densities of two differently biased galaxy samples that trace the same underlying matter density field, and was proposed to alleviate the cosmic variance problem. Here, we propose ...
Measuring the H I mass function below the detection threshold
(Oxford University Press, 2019-10-30)
We present a Bayesian stacking technique to directly measure the H I mass function (HIMF)
and its evolution with redshift using galaxies formally below the nominal detection threshold.
We generate galaxy samples over ...