This C++ version of BAT is still being maintained, but addition of new features is unlikely. Check out our new incarnation, BAT.jl, the Bayesian analysis toolkit in Julia. In addition to Metropolis-Hastings sampling, BAT.jl supports Hamiltonian Monte Carlo (HMC) with automatic differentiation, automatic prior-based parameter space transformations, and much more. See the BAT.jl documentation.

Results of performance testing for BAT version 0.4.3

Back to | overview for 0.4.3 | all versions |

Test "1d_gaus_iter"

Results
Status good
CPU time 165 s
Real time 165 s
Plots 1d_gaus_iter.ps
Log 1d_gaus_iter.log

Plots
Subtest values as a function of the variation parameter. Red: target values, blue: test values and uncertainties.Subtest values as a function of the variation parameter. Red: target values, blue: test values and uncertainties.Subtest values as a function of the variation parameter. Red: target values, blue: test values and uncertainties.
Subtest values as a function of the variation parameter. Red: target values, blue: test values and uncertainties.Subtest values as a function of the variation parameter. Red: target values, blue: test values and uncertainties.Subtest values as a function of the variation parameter. Red: target values, blue: test values and uncertainties.
Subtest values as a function of the variation parameter. Red: target values, blue: test values and uncertainties.Subtest values as a function of the variation parameter. Red: target values, blue: test values and uncertainties.Subtest values as a function of the variation parameter. Red: target values, blue: test values and uncertainties.
Subtest values as a function of the variation parameter. Red: target values, blue: test values and uncertainties.Subtest values as a function of the variation parameter. Red: target values, blue: test values and uncertainties.Subtest values as a function of the variation parameter. Red: target values, blue: test values and uncertainties.
Subtest values as a function of the variation parameter. Red: target values, blue: test values and uncertainties.Subtest values as a function of the variation parameter. Red: target values, blue: test values and uncertainties.Subtest values as a function of the variation parameter. Red: target values, blue: test values and uncertainties.