Kriging and Gaussian mixture modeling applied to HST data yield 1-pc resolution dust extinction maps in the SMC and LMC, showing log-normal column density distributions and systematic differences from FIR-derived dust masses.
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2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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Exposure-integrated Gaussian processes allow prediction of both latent stellar signals and instrument-specific binned versions, supporting combination of overlapping EPRV datasets with varying exposure times.
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Scylla VI: Parsec-Scale Dust Extinction Maps in the SMC and LMC
Kriging and Gaussian mixture modeling applied to HST data yield 1-pc resolution dust extinction maps in the SMC and LMC, showing log-normal column density distributions and systematic differences from FIR-derived dust masses.
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Exposure-averaged Gaussian Processes for Combining Overlapping Datasets
Exposure-integrated Gaussian processes allow prediction of both latent stellar signals and instrument-specific binned versions, supporting combination of overlapping EPRV datasets with varying exposure times.