27 citations · 27 across the 1 of their papers we have counts for
4 papers
Kernel-Based Emulator for the 3D Matter Power Spectrum from CLASS
Arrykrishna Mootoovaloo, Andrew H. Jaffe, Alan F. Heavens +1
The 3D matter power spectrum, is a fundamental quantity in the analysis of cosmological data such as large-scale structure, 21cm observations, and weak lensing. Existing…
Parameter Inference for Weak Lensing using Gaussian Processes and MOPED
Arrykrishna Mootoovaloo, Alan F. Heavens, Andrew H. Jaffe +1
In this paper, we propose a Gaussian Process (GP) emulator for the calculation of a) tomographic weak lensing band-power spectra, and b) coefficients of summary data massively comp…
Imbalance Learning for Variable Star Classification
Zafiirah Hosenie, Robert Lyon, Benjamin Stappers +2
The accurate automated classification of variable stars into their respective sub-types is difficult. Machine learning based solutions often fall foul of the imbalanced learning pr…
Comparing Multi-class, Binary and Hierarchical Machine Learning Classification schemes for variable stars
Zafiirah Hosenie, Robert Lyon, Benjamin Stappers +1
Upcoming synoptic surveys are set to generate an unprecedented amount of data. This requires an automatic framework that can quickly and efficiently provide classification labels f…