Conveners
Cosmology & Simulations: II
- Sebastian Trujillo
Quantifying tension between different experimental efforts aiming to constrain the same physical models is essential for validating our understanding of the Universe. A commonly used metric of tension is the ratio, R, of the joint Bayesian evidence to the product of individual evidences for two experimental datasets under some common model. R can be interpreted as a measure of our relative...
Galaxy groups and clusters are dynamical sites of galaxy evolution and cosmological structure formation. In particular, the intracluster and intragroup media are the hot, volume-filling gas between the galaxies in these deep potential wells. They host signatures of feedback from AGN, non-thermal processes like cosmic ray diffusion and turbulent motion, and mergers with other large structures....
Physics-informed neural networks (PINNs) have gained massive popularity in recent years as competent PDE solvers in a wide variety of physical applications. Combining powerful machine-learning techniques with information about the physical system at hand, they manage to surpass many obstacles that inhibit other classical numerical methods, such as the curse of dimensionality. In addition, they...
The ability to compress observational data and accurately estimate physical parameters relies heavily on informative summary statistics. In this paper, we introduce the use of mutual information (MI) as a means of evaluating the quality of summary statistics in inference tasks. MI can assess the sufficiency of summaries, and provide a quantitative basis for comparison. We propose to estimate...
