Todo List

Member __cudaSafeCall (cudaError err, const char *file, const int line)

KS: There is plenty of useful stuff here https://github.com/NVIDIA/cuda-samples/blob/master/Samples/1_Utilities/deviceQuery/deviceQuery.cpp

KS: We might want to port some of these utilities, for example having bool if there is unified memory etc.

Member BinnedSplineHandler::BinnedSplineHandler (ParameterHandlerGeneric *xsec_, MaCh3Modes *Modes_)

ETA - do all of these functions and members actually need to be public?

Member BinnedSplineHandler::CalcSplineWeights () final

KS: Once could use "ParamValues" but this will result in tiny bit different results due to floating point precision

Member BinnedSplineHandler::~BinnedSplineHandler ()

it need some love

Member CalculateEnu (double PLep, double cosTheta, double EB, bool neutrino)

WARNING this is hardcoded

Member CompareHistograms (const TH1 *h1, const TH1 *h2, const std::string &histName, const std::string &folderName)

add checks for stuff like bin content etc

Member FitterBase::SanitiseInputs ()

consider expanding into ParmaterHandler and add more sanitisers

Member get_default_log_level ()

make constexpr with c++17

File GetPenaltyTerm.cpp

KS: This should really be moved to MCMC Processor

Member Graph_interpolate1D (TGraph *graph, double theta13)

double check implementation of TGraph interpolation for 1D

Member Graph_interpolateNO (TGraph2D *graph, double theta13, double dm32)

add a generic 2D reweight that is not dm32 and theta13 specific DWR

Member initSamplesModule (py::module &m_samples)

Deal with higher dimensions MaCh3 returns flattened bins, will need to figure out how to pass bin edge info into python

Deal with non uniform binning

Deal with non uniform binning

Deal with higher dimensions MaCh3 returns flattened bins, will need to figure out how to pass bin edge info into python

Deal with non uniform binning

Deal with non uniform binning

Deal with higher dimensions MaCh3 returns flattened bins, will need to figure out how to pass bin edge info into python

Member M3::Utils::GetMassFromPDG (const int PDG)

this could be constexpr in c++17

Member MaCh3CovarianceFactory (Manager *FitManager, const std::string &PreFix)

add adaptive stuff

Member MaCh3ManagerFactory (int argc, char **argv)

KS: May need some recursive magic to reduce amount of hardcoding

Class MCMCProcessor

KS: Implement Diagnostics/GetPenaltyTerm.cpp here.

Member MCMCProcessor::PowerSpectrumAnalysis ()

KS: Code is awfully slow... I know how to make it faster (GPU scream in a distant) but for now just make it for two params, bit hacky sry...

Member MinuitFit::MinuitFit (Manager *const fitMan)

KS: Make this in future configurable, for more see: https://root.cern.ch/doc/master/classROOT_1_1Math_1_1Minimizer.html

Member OscProcessor::LoadAdditionalInfo () final

remove this hardcoding (e.g., use a map or enum-to-name function)

we should actually calculate central value and prior error but leave it for now...

Member OscProcessor::OscProcessor (const std::string &InputFile)

Here where we should add all unitarity triangles, fancy Jarlskog studies and other hacky things that only make sense for oscitations

Member ParameterHandlerBase::PrintParameters () const

remove it

Member PCAHandler::ThrowParameters (const std::vector< std::unique_ptr< TRandom3 >> &random_number, double **throwMatrixCholDecomp, double *randParams, double *corr_throw, const std::vector< double > &fPreFitValue, const std::vector< double > &fLowBound, const std::vector< double > &fUpBound, int _fNumPar)

KS: We don't check if param is out of bounds. This is more problematic for PCA params.

File PlotMCMCDiag.cpp

this need serious refactor

File PlotSigmaVariation.cpp

add maybe ratio for PlotSigVar1D

Class PredictiveThrower

add BIC, DIC, WAIC

add Rate $p$-value

add plots by mode

Post Pred LLH

unify code with SampleSummary

Member ReweightMCMC (const std::string &inputFile, const std::string &configFile)

Get list only of unique parameters, this is repeating unnecessarily when adding more than 1 weight DWR

Finish Asimov shifting implementation, for now just warn that Asimovs are not being properly handled

add tracking for how many events are outside the graph ranges for diagnostics DWR

Member SampleBinningInfo::InitNonUniform (const std::vector< std::vector< std::vector< double >>> &InputBins)

KS: Now we create "Large Bins" automatically, in future we can expand to add more user control

Member SampleHandlerBase::funcParsVec

KS: Below functional variables are used only on setup, thus we should refactor them in such a way that they are removed as class members but this would be breaking change thus keep it for the time being.

Member SampleHandlerBase::ReturnKinematicParameterBinning (const int Sample, const std::string &KinematicParameter) const final

might be useful to allow overwriting this

Member SampleHandlerBase::SetupFunctionalParameters ()

KS: Instead of clearing it they should not be class members, so we must fix it in future

Member SampleHandlerBase::SetupSplines ()=0

abstract the spline initialisation completely to core

Member SystType

KS: Consider using enum class, it is generally recommended as safer. It will require many static_cast