Smodels

Latest version: v2.3.3

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2.3.3

Changes:

* added resummino cross section computer
* fixed bug in computation of error on muhat, for pyhf likelihoods
(affects mostly the numpy backend)
* small change in initialisation of gradient descent method for computation of
combined mu_hat, to increate robustness of method

2.3.2

SModelS version 2.3.2

Changes:

* fixed bug in initialisation of analysis combination
* smodels version now printed in all output formats

2.3.1

Changes:

* fixed bug for reading QNUMBERS from SLHA files
* small fixes in how pythia6 and pythia8 are built
* small fix in truncated Gaussian llhd experimental feature
* small fix in computation of combined upper limits
* combinationmatrices are now forced to be symmetric
* added isCombinableWith method also for CombinedDataSets
* added a recipe for how to use a combinations matrix
* runtime.nCPUs() now returns number of available CPUs, not all CPUs
* xseccomputer now has --tempdir option
* StatsComputer now has CLs method
* changed default prompt width from 1e-8 to 1e-11 GeV in code

2.3.0

Changes:

* fixed bug for an LHE input only with anti-particles
* fixed error that truncated signal yields when computing expected upper limits
* added minMass parameter for setting a minimum mass threshold for BSM masses
* fixed C++ interface to work with python 3.11
* bumped up pythia8 from 8.307 to 8.308
* SModelS can now track inter-analyses combinability at the level of whole
analyses as well as individual signal regions via a combinations matrix
* added support for SLv2 (Gaussian with a skew), arXiv:1809.05548
* refactored the statistics modules, code ready for interfacing Spey
* introduced "full_llhds" database add-on (see parameters.ini file)

2.2.1

Changes:
* fixes in analyses combinations, simplified and pyhf likelihoods
* small fixes for python 3.10
* bumped up pythia8 from 8.306 to 8.307
* included example on how to plot likelihoods from analysis combination
* small bug fix for particle addition

2.2.0.post1

Changes:

* fix for Python versions <= 3.7

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