28 ) : fAxis(axis), fAxisNDNumu(axisNDNumu), fCutFD(cutFD), fCutNDNue(cutNDNue),
29 fCutNDNumu(cutNDNumu), fShiftDataND(shiftDataND), fWei(wei)
41 auto extrap = std::make_unique<NueRHCExtrap>(
44 return std::make_unique<PredictionExtrap>(std::move(extrap));
77 auto extrap = std::make_unique<NueExtrap>(
80 return std::make_unique<PredictionExtrap>(std::move(extrap));
101 auto extrap = std::make_unique<NueSignalOnlyExtrap>(
103 return std::make_unique<PredictionExtrap>(std::move(extrap));
114 ) : fIsRHC(isRHC),
fAxis(axis),
fCutFD(cutFD), fCutNDNue(cutNDNue),
133 auto extrap = std::make_unique<NueBkgdOnlyExtrap>(
135 return std::make_unique<PredictionExtrap>(std::move(extrap));
156 auto extrap = std::make_unique<NueBkgdOnlyExtrap>(
158 return std::make_unique<PredictionExtrap>(std::move(extrap));
178 auto extrap = std::make_unique<NumuExtrap>(
180 return std::make_unique<PredictionExtrap>(std::move(extrap));
191 ) :
fAxis(axis), fAxisNDNumu(axisNDNumu),
fCutFD(cutFD), fCutNDNue(cutNDNue),
204 auto extrap = std::make_unique<NueExtrap>(
207 return std::make_unique<PredictionExtrap>(std::move(extrap));
Cuts and Vars for the 2020 FD DiF Study.
Simple record of shifts applied to systematic parameters.
Collection of SpectrumLoaders for many configurations.
Uses MC for NC and CC components, assigns remainder of data to CC.
Splits Data proportionally according to MC.