A5090675835- Genetic diversity and population structure
- Galaxies: Formation, Evolution, Phenomena
- Astronomy and Astrophysical Research
- Genomics and Phylogenetic Studies
- Cosmology and Gravitation Theories
- Advanced Vision and Imaging
- Plant Diversity and Evolution
- Biochemical and Structural Characterization
Pontificia Universidad Católica de Chile
2022-2024
ABSTRACT We present a new approach to describe statistics of the non-linear matter density field that exploits degeneracy in impact different cosmological parameters on linear dimensionless power spectrum, $\Delta ^2_{\rm L}(k)$. classify all into two groups, shape parameters, which determine L}(k)$, and evolution only affect its amplitude at any given redshift. With this definition, time L}(k)$ models with identical but can be mapped from one other by relabelling redshifts correspond same...
Abstract Phylogenetic methods have long been used in biology and more recently extended to other fields—for example, linguistics technology—to study evolutionary histories. Galaxies also an history fall within this broad phylogenetic framework. Under the hypothesis that chemical abundances can be as a proxy for interstellar medium’s DNA, allow us reconstruct hierarchical similarities differences among stars—essentially, tree of relationships thus history. In work, we apply simulated disk...
Phylogenetic methods have long been used in biology, and more recently extended to other fields - for example, linguistics technology study evolutionary histories. Galaxies also an history, fall within this broad phylogenetic framework. Under the hypothesis that chemical abundances can be as a proxy interstellar medium's DNA, allow us reconstruct hierarchical similarities differences among stars essentially tree of relationships thus history. In work, we apply simulated disc galaxy obtained...
Semi-analytic models are best suited to compare galaxy formation and evolution theories with observations. These rely heavily on halo merger trees, their realistic features (i.e., no drastic changes mass or jumps physical locations). Our aim is provide a new framework for tree generation that takes advantage of the results large volume simulations, modest computational cost. We treat construction as matrix problem, propose Generative Adversarial Network learns generate trees. evaluate our...