Kavli Affiliate: Anna Frebel | First 5 Authors: Kaley Brauer, Andrew Emerick, Jennifer Mead, Alexander P. Ji, John H. Wise | Summary: The AEOS project introduces a series of high-resolution cosmological simulations that model star-by-star chemical enrichment and galaxy formation in the early Universe, achieving 1 pc resolution. These simulations capture the complexities of galaxy […]
Kavli Affiliate: Anna Frebel | First 5 Authors: Kaley Brauer, Andrew Emerick, Jennifer Mead, Alexander P. Ji, John H. Wise | Summary: The AEOS project introduces a series of high-resolution cosmological simulations that model star-by-star chemical enrichment and galaxy formation in the early Universe, achieving 1 pc resolution. These simulations capture the complexities of galaxy […]
Kavli Affiliate: Anna Frebel | First 5 Authors: Kaley Brauer, Andrew Emerick, Jennifer Mead, Alexander P. Ji, John H. Wise | Summary: The AEOS project introduces a series of high-resolution cosmological simulations that model star-by-star chemical enrichment and galaxy formation in the early Universe, achieving 1 pc resolution. These simulations capture the complexities of galaxy […]
Kavli Affiliate: Philip J. Marshall | First 5 Authors: Tian Li, Thomas E. Collett, Philip J. Marshall, Sydney Erickson, Wolfgang Enzi | Summary: The time delay between multiple images of strongly lensed quasars has been used to infer the Hubble constant. The primary systematic uncertainty for time-delay cosmography is the mass-sheet transform (MST), which preserves […]
Kavli Affiliate: Brian D. Nord | First 5 Authors: Paxson Swierc, Marcos Tamargo-Arizmendi, Aleksandra Ćiprijanović, Brian D. Nord, | Summary: Modeling strong gravitational lenses is prohibitively expensive for modern and next-generation cosmic survey data. Neural posterior estimation (NPE), a simulation-based inference (SBI) approach, has been studied as an avenue for efficient analysis of strong lensing […]
Kavli Affiliate: Ke Wang | First 5 Authors: Anjiang Wei, Allen Nie, Thiago S. F. X. Teixeira, Rohan Yadav, Wonchan Lee | Summary: Modern scientific discovery increasingly relies on high-performance computing for complex modeling and simulation. A key challenge in improving parallel program performance is efficiently mapping tasks to processors and data to memory, a […]
Kavli Affiliate: Ke Wang | First 5 Authors: Anjiang Wei, Allen Nie, Thiago S. F. X. Teixeira, Rohan Yadav, Wonchan Lee | Summary: Modern scientific discovery increasingly relies on high-performance computing for complex modeling and simulation. A key challenge in improving parallel program performance is efficiently mapping tasks to processors and data to memory, a […]
Kavli Affiliate: Laura Schaefer | First 5 Authors: Kaveh Pahlevan, Laura Schaefer, Don Porcelli, , | Summary: The Martian isotopic record displays a dichotomy in volatile compositions. Interior volatiles from the mantle record a chondritic heritage (e.g., H, N, Kr, Xe) whereas the atmospheric reservoir of Kr and Xe – which do not currently experience […]
Kavli Affiliate: Laura Schaefer | First 5 Authors: Kaveh Pahlevan, Laura Schaefer, Don Porcelli, , | Summary: The Martian isotopic record displays a dichotomy in volatile compositions. Interior volatiles from the mantle record a chondritic heritage (e.g., H, N, Kr, Xe) whereas the atmospheric reservoir of Kr and Xe – which do not currently experience […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Heshan Fernando, Han Shen, Parikshit Ram, Yi Zhou, Horst Samulowitz | Summary: Post-training of pre-trained LLMs, which typically consists of the supervised fine-tuning (SFT) stage and the preference learning (RLHF or DPO) stage, is crucial to effective and safe LLM applications. The widely adopted approach in post-training […]