MOSAIC recovers identifiable latent variables and their sparse associated observations in scientific time series by combining temporal causal representation learning with support recovery through a sparse additive decoder.
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Including the heliospheric sector region allows grains down to ~0.1 μm to reach the inner heliosphere with little concentration or dilution over most of the solar cycle.
CME interaction with the HCS locally replaced the current sheet and produced a >48-hour magnetic sector transition observed near Earth in October 2024.
eROSITA data from solar minimum enables isolation and removal of solar wind charge exchange foreground emission, yielding a less contaminated diffuse soft X-ray sky and demonstrating X-ray mapping of interstellar matter flow.
citing papers explorer
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MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series
MOSAIC recovers identifiable latent variables and their sparse associated observations in scientific time series by combining temporal causal representation learning with support recovery through a sparse additive decoder.
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Interstellar Dust Transport Through the Heliosphere Including the Sector Region
Including the heliospheric sector region allows grains down to ~0.1 μm to reach the inner heliosphere with little concentration or dilution over most of the solar cycle.
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Coronal Mass Ejection and Heliospheric Current Sheet Interaction Causing a Long-Duration Magnetic Field Sector Transition
CME interaction with the HCS locally replaced the current sheet and produced a >48-hour magnetic sector transition observed near Earth in October 2024.
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Determination of the Solar System contribution to the soft X-ray sky
eROSITA data from solar minimum enables isolation and removal of solar wind charge exchange foreground emission, yielding a less contaminated diffuse soft X-ray sky and demonstrating X-ray mapping of interstellar matter flow.