v3.0.1

Small bug-fixing release:

• Bug fix for printing signal region combination results
• New cluster algorithm (simpler and more stable)
• Made the pyhf backend configurable. WARNING: if backend specified is not found, we now fall back to numpy!

v3.0.0

New version with extension to general SMS topologies using graphs

• Large code refactoring
• Added option for selecting which quantum numbers to be ignored in prompt results (see the ignorePromptQNumbers option in parameters.ini)
• Added outputFormat option to parameters.ini for switching back to v2 output format (old bracket notation); default is v3 output format (string representation of SMS)
• Output for EM-type results now reports negative log likelihoods, instead of likelihoods
• Changes in missing topologies (coverage): the grouping of topologies is now done only by final states and ignores the topology structure
• jsonFiles entries in the database now allow to specify also pyhf region names and region types (signal or control region)
• Enabled EMs for control regions to emulate signal leakage to control regions
• See ReleaseNotes for additional changes

Note that SModelS v3 should be used with database versions v3.0.0 or later

v2.3.3

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

v2.3.2

SModelS version 2.3.2

Changes:

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

v2.3.1

SModelS version 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

v2.3.0

SModelS version 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

SModelS version 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

v2.2.0.post1

SModelS version 2.2.0.post1

Changes:

• fix for Python versions <= 3.7

v2.2.0

SModelS version 2.2.0

Changes:

• introduced (user-defined) combinations of analyses
• changed expected limits computed with pyhf from post-fit to pre-fit
• notion of "nonaggregated" databases introduced
• small fixes

v2.1.1

SModelS version 2.1.1

Changes:

• caching weight matrix in simplified likelihoods
• notion of "debug" databases introduced
• introduced reportAllSRs option
• tiny fix in mybinder link (see https://pypi.org/project/smodels/)
• small fixes in unit tests
• improved truncated Gaussians in likelihoodsFromLimits (but kept as experimental feature)
• experimental features can now be turned on via ini file