Machine learning on simulated images identifies that flux eruption events cause more diffuse, polarized, lower-flux millimeter emission with decreased Q-U loop rotation rate, achieving ~80% accuracy with random forests on summary statistics.
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4 Pith papers cite this work. Polarity classification is still indexing.
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GRMHD models show PA1 aligns with the approaching limb for high spins, enabling mild disfavoring of low spins and strong disfavoring of Earth-pointing spins in M87* from EHT data, with similar potential for Sgr A*.
LILA can detect IMBH binaries at redshifts 20-30, IMRIs, and provide months-to-years early warnings with high-SNR events for gravity tests.
GPU version of OpenGadget3 matches CPU results across multiple test suites with chip-to-chip speedups of 2-5x.
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OpenGadget3 GPU solver tests
GPU version of OpenGadget3 matches CPU results across multiple test suites with chip-to-chip speedups of 2-5x.