28 citations · 49 across the 10 of their papers we have counts for
7 papers · 1 filter
Extracting cosmological information from the abundance of galaxy clusters with simulation-based inference
Íñigo Zubeldia, Boris Bolliet, Anthony Challinor +1
The abundance of galaxy clusters as a function of mass and redshift is a well-established and powerful cosmological probe. Cosmological analyses based on galaxy cluster number coun…
On the spatial distribution of the Large-Scale structure: An Unsupervised search for Parity Violation
Samuel Hewson, Will J. Handley, Christopher G. Lester
We use machine learning methods to search for parity violations in the Large-Scale Structure (LSS) of the Universe, motivated by recent claims of chirality detection using the 4-Po…
Predicting spatial curvature in globally -symmetric universes
Wei-Ning Deng, Will Handley
Boyle and Turok's -symmetric universe model posits that the universe was symmetric at the Big Bang, addressing numerous problems in both cosmology and the Standard Model of pa…
Simulation-Based Inference of the sky-averaged 21-cm signal from CD-EoR with REACH
Anchal Saxena, P. Daniel Meerburg, Christoph Weniger +2
The redshifted 21-cm signal from the Cosmic Dawn and Epoch of Reionization carries invaluable information about the cosmology and astrophysics of the early Universe. Analyzing data…
Non-Gaussian Likelihoods for Type Ia Supernovae Cosmology: Implications for Dark Energy and
Toby Lovick, Suhail Dhawan, Will Handley
The latest improvements in the scale and calibration of Type Ia supernovae catalogues allow us to constrain the specific nature and evolution of dark energy through its effect on t…
On the Constraints on Superconducting Cosmic Strings from 21-cm Cosmology
T. Gessey-Jones, S. Pochinda, H. T. J. Bevins +5
Constraints on the potential properties of superconducting cosmic strings provide an indirect probe of physics beyond the standard model at energies inaccessible to terrestrial par…
aeons: approximating the end of nested sampling
Zixiao Hu, Artem Baryshnikov, Will Handley
This paper presents analytic results on the anatomy of nested sampling, from which a technique is developed to estimate the run-time of the algorithm that works for any nested samp…