The Present and Future of Astronomy (ASTRO2022)

Kavli Affiliate: Wendy Freedman | First 5 Authors: Giacomo Beccari, Henri M. J. Boffin, Paola Andreani, Selma de Mink, Wendy Freedman | Summary: Being one of the most fascinating and ancient sciences, astronomy has always played a special role in society. In 2022 ESO organised an online conference to offer the community a platform to […]


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The chemical abundance pattern of the extremely metal-poor thin disk star 2MASS J1808-5104 and its origins

Kavli Affiliate: Alexander P. Ji | First 5 Authors: Mohammad K. Mardini, Anna Frebel, Rana Ezzeddine, Anirudh Chiti, Yohai Meiron | Summary: We present a high-resolution ($Rsim35,000$), high signal-to-noise ($S/N=350$) Magellan/MIKE spectrum of the bright extremely metal-poor star 2MASS~J1808$-$5104. We find [Fe/H] = $-$4.01 (spectroscopic LTE stellar parameters), [Fe/H] = $-$3.8 (photometric stellar parameters), [Fe/H] […]


Continue.. The chemical abundance pattern of the extremely metal-poor thin disk star 2MASS J1808-5104 and its origins

Interpretable Uncertainty Quantification in AI for HEP

Kavli Affiliate: Brian Nord | First 5 Authors: Thomas Y. Chen, Biprateep Dey, Aishik Ghosh, Michael Kagan, Brian Nord | Summary: Estimating uncertainty is at the core of performing scientific measurements in HEP: a measurement is not useful without an estimate of its uncertainty. The goal of uncertainty quantification (UQ) is inextricably linked to the […]


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Interpretable Uncertainty Quantification in AI for HEP

Kavli Affiliate: Brian Nord | First 5 Authors: Thomas Y. Chen, Biprateep Dey, Aishik Ghosh, Michael Kagan, Brian Nord | Summary: Estimating uncertainty is at the core of performing scientific measurements in HEP: a measurement is not useful without an estimate of its uncertainty. The goal of uncertainty quantification (UQ) is inextricably linked to the […]


Continue.. Interpretable Uncertainty Quantification in AI for HEP

Interpretable Uncertainty Quantification in AI for HEP

Kavli Affiliate: Brian Nord | First 5 Authors: Thomas Y. Chen, Biprateep Dey, Aishik Ghosh, Michael Kagan, Brian Nord | Summary: Estimating uncertainty is at the core of performing scientific measurements in HEP: a measurement is not useful without an estimate of its uncertainty. The goal of uncertainty quantification (UQ) is inextricably linked to the […]


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Modeling Dust Production, Growth, and Destruction in Reionization-Era Galaxies with the CROC Simulations: Methods and Parameter Exploration

Kavli Affiliate: Nickolay Y. Gnedin | First 5 Authors: Clarke J. Esmerian, Nickolay Y. Gnedin, , , | Summary: We introduce a model for the explicit evolution of interstellar dust in a cosmological galaxy formation simulation. We post-process a simulation from the Cosmic Reionization on Computers project (CROC, Gnedin 2014), integrating an ordinary differential equation […]


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Exploring $boldsymbol{2+2}$ Answers to $boldsymbol{3+1}$ Questions

Kavli Affiliate: Austin Joyce | First 5 Authors: Jonathan J. Heckman, Austin Joyce, Jeremy Sakstein, Mark Trodden, | Summary: We explore potential uses of physics formulated in Kleinian (i.e., $2+2$) signature spacetimes as a tool for understanding properties of physics in Lorentzian (i.e., $3+1$) signature. Much as Euclidean (i.e., $4+0$) signature quantities can be used […]


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Estimating Cosmological Constraints from Galaxy Cluster Abundance using Simulation-Based Inference

Kavli Affiliate: Brian Nord | First 5 Authors: Moonzarin Reza, Yuanyuan Zhang, Brian Nord, Jason Poh, Aleksandra Ciprijanovic | Summary: Inferring the values and uncertainties of cosmological parameters in a cosmology model is of paramount importance for modern cosmic observations. In this paper, we use the simulation-based inference (SBI) approach to estimate cosmological constraints from […]


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