🚀 New YODA 2.1.1 release!
The latest patch in the 2.1.x series brings:
✔️ Flexible normalisation options (yodascale)
✔️ Kolmogorov–Smirnov test support
✔️ Better Cython bindings & Python exception handling
✔️ YODA-to-HEPData export
✔️ Smarter Estimate handling in yodaenvelope & yodamerge
✔️ Plotting fixes: overflow bins, aux lines, opacity & more
#HEP #OpenScience #DataAnalysis #YODA #Rivet #CPlusPlus #Python
📸 A fantastic week at the MCnet Summer School 2025 in Stirling!
From matrix elements and parton showers to neutrino generators, ML, HPC and Public Health—great lectures, hands-on tutorials, and plenty of good conversations (and Scottish weather).
Thanks to all who joined! 👏
If you’re a PhD student or early-career postdoc working with Monte Carlo event generators, keep an eye out for next year’s school—you won’t want to miss it.
🚀 CONTUR 3 is here!
CONTUR uses RIVET and its huge library of LHC measurements to test new physics models via fast limit-setting and consistency checks.
The new release brings:
✔️ Improved stats treatments
✔️ Efficiency boosts
✔️ New plotting utilities & SM predictions
✔️ Many more measurements
Read more: https://arxiv.org/abs/2505.09272
#HEP #ParticlePhysics #MonteCarlo #Rivet #Contur #LHC #OpenScience
The CONTUR toolkit exploits RIVET and its library of more than a thousand energy-frontier differential cross-section measurements from the Large Hadron Collider to allow rapid limit-setting and consistency checks for new physics models. In this note we summarise the main changes in the new CONTUR 3 major release series. These include additional statistical treatments, efficiency improvements, new plotting utilities and many new measurements and Standard Model predictions.
CEDAR
MCnet
Andy Buckley