RSOM applies dictionary learning to discover a sparse dictionary that conditions the analytic continuation inverse problem, yielding competitive results on synthetic tests and finite-temperature electron gas QMC data.
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xDAVE is a new code implementing the Chihara decomposition for rapid DSF calculation and XRTS spectrum analysis, validated on OMEGA beryllium data and coupled to ray-tracing for predictions while highlighting energy-dependent instrument functions.
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Discovering a well-conditioned analytic continuation problem via dictionary learning
RSOM applies dictionary learning to discover a sparse dictionary that conditions the analytic continuation inverse problem, yielding competitive results on synthetic tests and finite-temperature electron gas QMC data.
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X-Ray Diagnostics Analysis Verification and Exploration (xDAVE) Code for the Prediction and Interpretation of X-Ray Thomson Scattering Experiments
xDAVE is a new code implementing the Chihara decomposition for rapid DSF calculation and XRTS spectrum analysis, validated on OMEGA beryllium data and coupled to ray-tracing for predictions while highlighting energy-dependent instrument functions.