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phajy / Sesto2024

Preparation for the "From the Dolomites to the Event Horizon: Sledging Down the Black Hole Potential Well" 2024 meeting in Sesto. Will include talk, data, and calculations.
MIT License
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Reflionx convolution model #5

Closed fjebaker closed 2 months ago

fjebaker commented 2 months ago

example-reflionx

┌ MultiFittingResult:
│    Model: CompositeModel[PowerLaw + AsConvolution(ReflionxTable)]
│    . u     : [1.1841e-09, 2.3839, 1.8249, 431.73, 0.97217, 38.433, 0.018900, 1.9496]
│    . σᵤ    : [3.2627e-09, 0.063943, 1.0284, 636.59, 0.0033242, 0.61057, 0.00020825, 0.0069679]
│    . χ²    : 160.37 
│    Model: CompositeModel[PowerLaw + AsConvolution(ReflionxTable)]
│    . u     : [5.3712e-10, 2.3761, 1.8249, 431.73, 0.97217, 38.433, 0.011600, 1.9496]
│    . σᵤ    : [1.5054e-09, 0.042609, 1.0284, 636.59, 0.0033242, 0.61057, 0.00011980, 0.0069679]
│    . χ²    : 142.35 
│    Model: CompositeModel[PowerLaw + AsConvolution(ReflionxTable)]
│    . u     : [5.0308e-10, 2.3665, 1.8249, 431.73, 0.97217, 38.433, 0.0090651, 1.9496]
│    . σᵤ    : [1.3324e-09, 0.036684, 1.0284, 636.59, 0.0033242, 0.61057, 0.00011810, 0.0069679]
│    . χ²    : 116.88 
└ Σχ² = 419.60

With all of the reflionx parameters treated as free. I think the power law slope and photon indices need to be bound together, but the binding syntax does not yet support that.

Requires the latest registered versions of all packages.