Multi-Probe Inference and Derived Parameter Development in Kosmulator

Project Description:

While the Kosmulator framework has already demonstrated its core multiprobe capabilities, the next stage of its development is essential for addressing modern cosmological tensions with high-resolution data. This Master's project aims to help elevate the framework to a global joint-likelihood standard by significantly expanding its observational library and implementing a critical architectural upgrade: an integrated engine for derived parameters. The research will focus on the technical integration of diverse datasets, ranging from ground-based CMB observations to large-scale spectroscopic surveys. By developing a vectorised derived parameter module, the student will enable the framework to automatically calculate and store physically essential quantities like H_0 and S_8, allowing for a rigorous, real-time investigation of the discrepancies between early and late-universe probes within a unified inference environment.

Research Area:

Astronomy

Project Level:

Masters

This Project Is Offered At The Following Node(s):

(NWU)

Special Requirements:

Candidates should have strong proficiency in Python. Experience with Boltzmann solvers and an interest in expanding high-performance, vectorised software are desirable.