Speaker
Description
Primordial systems are unique archeological sites, commonly hidden within vast observational datasets yet offering invaluable insights into the story of our Universe. In this talk, I will briefly present my current work applying deep learning techniques in searching for two kinds of (potentially) primordial systems — (1) low-metallicity dwarf galaxies and (2) Lyman limit deuterium systems.
Extremely metal-poor dwarf galaxies (XMPs) are often regarded as the “living fossils” of the earliest galaxies. These relics in the local Universe are ideal laboratories for studying the environmental conditions and chemical enrichment processes of early galaxies, as well as their impact on the evolution of early Universe. However, these systems are exceedingly rare; despite extensive searches over the past two decades, only a few hundred have been identified among millions of galaxy samples. This talk will present my recent work on developing an effective deep learning pipeline for identifying XMPs and report some exciting new discoveries from our ongoing search.
The second part of the talk will introduce the search for Lyman limit deuterium systems in the Lyman-alpha forest of quasar spectra. Deuterium, primarily produced during Big Bang nucleosynthesis, has been largely consumed by stellar processes, making these systems rare and invaluable tracers for understanding the early Universe. In particular, Lyman limit deuterium systems are even rarer, with only three well-known systems in literature. I will present newly discovered systems from this search and our investigation of the temperature-density relation in these systems.
| Talk category | Plenary |
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