Model Studies

Common Galprop version

The common Galprop version used for this study is intermediate v55 (plus some changes). The version, including auxiliary libs is available from http://www-ekp.physik.uni-karlsruhe.de/~skunz/.cobra/

Cobra job submission

Site # of evaluated models responsible person chain names
Nemo - Matthias nemo
bwGrid - Matthias bwGrid

Bechmark models

A set of benchmark models, widely distributed in parameter space was selected to estimate the model uncertainties. The benchmark models are in the galdef folder and labelled galdef_55_BMP_0...29.

Uncertainty studies

Data correlations

A minimum and maximum correlation matrix will be defined. The impact of bin2bin and inter-measurement correlations will be estimated from dedicated scans in parameter space, as well as on the final model selection.

Cross section uncertainties

Estimation of uncertainties introduced by cross section model. The idea is to identify a set of extreme cross section models, which yield the maximum deviations in the relevant observables (protons, B/C, Li, antiprotons, positrons, electrons, Helium, 10Be/9Be). Separate scans for each cross section model will be run, the uncertainty can be quantified directly from the results.

Numerical uncertainties

Estimation of uncertainties introduced by Galprop's numerical solver. The idea is to vary nrep, tmin, tmax, timestep_factor, timestep_repeat and delta z to quantify the uncertainty compared to the standard values, using the benchmark models.

Gas

Estimation of uncertainties introduced by Galprop gas model. The idea is to vary all three gas distributions around the nominal value and quantify the change in all relevant observables (protons, B/C, Li, antiprotons, positrons, electrons, Helium, 10Be/9Be), using the benchmark models.

Solar modulation

Estimation of uncertainties introduced by force field approximation, using HelioProp as a reference model. The idea is to tune benchmark models to data, using force field approximation. The comparison to HelioProp predictions using a set of matrices, binned in mean free paths for given tilt angle, yields the uncertainty.

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Topic revision: r5 - 2015-10-22 - IrisGebauer
 
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