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Timing the r-Process Enrichment of the Ultra-Faint Dwarf Galaxy Reticulum II

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arxiv 2212.00810 v1 pith:OPXCSBOR submitted 2022-12-01 astro-ph.GA

classification astro-ph.GA
keywords starsformationr-processstarburstsformedhistorygalaxy
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The ultra-faint dwarf galaxy Reticulum II (Ret II) exhibits a unique chemical evolution history, with 72 +10/-12% of its stars strongly enhanced in r-process elements. We present deep Hubble Space Telescope photometry of Ret II and analyze its star formation history. As in other ultra-faint dwarfs, the color-magnitude diagram is best fit by a model consisting of two bursts of star formation. If we assume that the bursts were instantaneous, then the older burst occurred around the epoch of reionization and formed ~80% of the stars in the galaxy, while the remainder of the stars formed ~3 Gyr later. When the bursts are allowed to have nonzero durations we obtain slightly better fits. The best-fitting model in this case consists of two bursts beginning before reionization, with approximately half the stars formed in a short (100 Myr) burst and the other half in a more extended period lasting 2.6 Gyr. Considering the full set of viable star formation history models, we find that 28% of the stars formed within 500 +/- 200 Myr of the onset of star formation. The combination of the star formation history and the prevalence of r-process-enhanced stars demonstrates that the r-process elements in Ret II must have been synthesized early in its initial star-forming phase. We therefore constrain the delay time between the formation of the first stars in Ret II and the r-process nucleosynthesis to be less than 500 Myr. This measurement rules out an r-process source with a delay time of several Gyr or more such as GW170817.

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    cond-mat.supr-con 2025-08 unverdicted novelty 5.0 of 10

    The standard Dynes-Fulton reconstruction of critical current density breaks down for junctions with nonlinear phase distributions, and the authors propose an iterative algorithm that incorporates prior knowledge to fix it.

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