🚀 petrifyML v2.1.0 released!
New features include:
• Support for gradient-boosted TMVA BDTs
• TMVA MLP regressors
• Improved automatic feature-range estimation for BDTs
• Automatic compiler detection
Available now via pip or GitLab.
| Website | https://montecarlonet.org/ |
🚀 petrifyML v2.1.0 released!
New features include:
• Support for gradient-boosted TMVA BDTs
• TMVA MLP regressors
• Improved automatic feature-range estimation for BDTs
• Automatic compiler detection
Available now via pip or GitLab.
📢 MC4EIC 2026 (Zurich, 26–28 Aug)
Workshop on Monte Carlo event generation for the Electron–Ion Collider. The call for abstracts is now open.
More info & registration: https://indico.cern.ch/event/1667909/

The 2026 edition of the MC4EIC workshop on Monte Carlo event generation for the EIC will take place at the University of Zurich. The primary focus of this workshop is to discuss the status of event generators for the Electron-Ion Collider and the related experimental needs. Topics to be covered: General-purpose event generators for DIS, photoproduction, and diffractive processes Comparisons and tuning to relevant ep and ed data Protons to Ions: Challenges, Solutions, etc. Experimental needs:...
⏳ Last chance!
Registration for the MCnet Summer School 2026 (CERN, 31 May–5 June) closes in 5 days.
Hands-on training in MC event generators, QCD & collider phenomenology — with a focus on FCC-ee readiness.
👉 https://indico.cern.ch/e/mcnetschool2026
#MCnet #HEP #SummerSchool

The 19th MCnet school will be held CERN. The school provides a five-day course of training in the physics and techniques used in modern Monte Carlo event generators via a series of lectures, practical sessions, and discussions with event-generator authors. The school is aimed at advanced doctoral students and early-career postdocs. Please note that the school will take place in person only; a remote participation option will not be offered. Our core sessions comprise a series of introductory...
Follows directly after PSR 2026 (Manchester) with easy travel between locations.
More info & registration:
https://indico.cern.ch/e/BOOST2026

Overview BOOST 2026 is the 18th conference of a series of successful joint theory/experiment workshops that bring together the world's leading experts in theoretical and experimental collider physics to discuss the latest progress and develop new approaches on the reconstruction of and use of jet substructure to study Quantum Chromodynamics (QCD) and search for physics beyond the Standard Model. Note: BOOST 2026 will be held in the week just after PSR 2026 in Manchester. For attendees of...
📢 BOOST2026 – Kraków, 13–17 July 2026
Workshop on boosted objects, jet substructure, QCD & BSM searches, bringing together theorists and experimentalists. 🧵
Theme 2026: “FCC-ee Readiness” — focusing on the precision era of collider physics and the tools needed for next-generation measurements.
Kindly supported by LPCC & Next Generation Triggers.
Details & registration:
https://indico.cern.ch/e/mcnetschool2026

The 19th MCnet school will be held CERN. The school provides a five-day course of training in the physics and techniques used in modern Monte Carlo event generators via a series of lectures, practical sessions, and discussions with event-generator authors. The school is aimed at advanced doctoral students and early-career postdocs. Please note that the school will take place in person only; a remote participation option will not be offered. Our core sessions comprise a series of introductory...
The programme includes:
• Introductory & advanced lectures on event-generator physics
• Hands-on tutorials with MCnet generators
• Poster session
• Evening discussions with generator authors
In-person participation only.
📢 Registration is now open – MCnet Summer School 2026 at CERN
📍 CERN, Geneva
📅 31 May – 5 June 2026
A 5-day in-person course on the physics & techniques of modern Monte Carlo event generators for PhD students and early-career postdocs. 🧵
📍 Location: Kraków
📅 Start: Oct 2026 (flexible)
⏳ Priority deadline: 31 May 2026
Full details & application info:
👉 https://inspirehep.net/jobs/3092375