By Dr Jan Hamann

Preprints

Hamann J; Kang Y, 2024, Non-Gaussianity in CMB lensing from full-sky simulations, http://arxiv.org/abs/2411.02774v3

Hamann J; Kang Y, 2023, A Minkowski Functional Analysis of the Cosmic Microwave Background Weak Lensing Convergence, http://dx.doi.org/10.1088/1475-7516/2024/05/076

Hamann J; Gia QTL; Sloan IH; Womersley RS, 2023, Removing the mask -- reconstructing a scalar field on the sphere from a masked field, http://dx.doi.org/10.1137/23M1603157

Deshpande M; Hamann J; Sengupta D; White M; Williams AG; Wong YYY, 2023, Revisiting Cosmological Constraints on Supersymmetric SuperWIMPs, http://arxiv.org/abs/2309.05709v1

Wons J; Dimastrogiovanni E; Fasiello M; Hamann J; Johnson MC, 2023, Enhancing Bispectrum Estimators for Galaxy Redshift Surveys with Velocities, http://dx.doi.org/10.1103/PhysRevD.108.L021305

Hamann J; Malhotra A, 2022, Constraining primordial tensor features with the anisotropies of the Cosmic Microwave Background, http://dx.doi.org/10.1088/1475-7516/2022/12/015

Yi K; Chen J; Wang YG; Zhou B; Liò P; Fan Y; Hamann J, 2022, Approximate Equivariance SO(3) Needlet Convolution, http://arxiv.org/abs/2206.10385v1

Hamann J; Wons J, 2021, Optimising Inflationary Features the Bayesian Way, http://dx.doi.org/10.1088/1475-7516/2022/03/036

Hamann J; Gia QTL; Sloan IH; Wang YG; Womersley RS, 2019, A New Probe of Gaussianity and Isotropy applied to the CMB Maps, http://dx.doi.org/10.48550/arxiv.1911.11442

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