Published May 17, 2019
| Version v0.4.0
Software
Open
johannbrehmer/madminer: v0.4.0
- 1. Center for Data Science & Center for Cosmology and Particle Physics, NYU
- 2. UCI
- 3. New York University
- 4. CERN
Description
New features:
- Smarter sampling: MadMiner now keeps track of which events where generated (sampled) from which benchmark point (at the MadGraph stage). The new keyword
sample_only_from_closest_benchmark
in theSampleAugmenter
functions andplot_distributions()
then allows the user to restrict the unweighting / resampling at some parameter point to events from the closest benchmark point. This can significantly reduce the weights of individual events and thus reduce the variance.
- k-factors are now automatically added when there are subsamples generated at different benchmarks. For instance, if we add a sample with 30k events generated at theta0 and a sample with 70k events generated at theta1, and calculate cross sections from the full sample, MadMiner will automatically apply a k-factor of 0.3 and 0.7 to the two samples.
- Various small bug fixes, mostly related to nuisance parameters
- More information stored in MadMiner HDF5 file
Files
johannbrehmer/madminer-v0.4.0.zip
Files
(18.2 MB)
Name | Size | Download all |
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Additional details
Related works
- Is supplement to
- https://github.com/johannbrehmer/madminer/tree/v0.4.0 (URL)