π petrifyML v2.1.0 released!
New features include:
β’ Support for gradient-boosted TMVA BDTs
β’ TMVA MLP regressors
β’ Improved automatic feature-range estimation for BDTs
β’ Automatic compiler detection
Available now via pip or GitLab.
π petrifyML v2.1.0 released!
New features include:
β’ Support for gradient-boosted TMVA BDTs
β’ TMVA MLP regressors
β’ Improved automatic feature-range estimation for BDTs
β’ Automatic compiler detection
Available now via pip or GitLab.
Sponsor spotlight: CAEN βοΈ
Providing the instrumentation behind cutting-edge physics experiments.
Proud supporter of #ICHEP2026
π https://www.caen.it
Sponsor spotlight: IUPAP π
Supporting global collaboration in physics and connecting researchers worldwide.
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π https://iupap.org
β³ Last chance!
Registration for the MCnet Summer School 2026 (CERN, 31 Mayβ5 June) closes in 5 days.
Hands-on training in MC event generators, QCD & collider phenomenology β with a focus on FCC-ee readiness.
π 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...

We present a detailed investigation of the afterpulse effect in silicon photomultipliers (SiPMs), using a dedicated structure with single-cell readout. This enables direct measurement of intrinsic device properties and observation of individual pulses even after irradiation. Three independent analysis methods to quantify afterpulse induced events were developed and validated by Monte Carlo simulations. The first method is based on charge integration, while the other two methods use multiple linear regression to reconstruct transient waveforms and accurately identify individual pulse positions. These positions are then used either as direct event counts or to construct time interval distributions, enabling comprehensive characterization of the afterpulse probability and providing insights into the dynamics of trapping in silicon. Using this framework, we measured three SiPM samples: one fresh reference device and two irradiated devices exposed to reactor neutron fluences of 2e12 and 1e13 cm^-2. We report systematic measurements of the afterpulse probability and time constant as functions of bias voltage and irradiation fluence. For overvoltages in the range of 3 to 5 V above breakdown, the afterpulse time constant is found to be below 10 ns and the afterpulse probability below 6%. Both quantities show no significant dependence on irradiation fluence.
Sponsor highlight: CERN Courier π°
Keeping the particle physics community informed, connected, and inspired.
Proud supporter of #ICHEP2026
Sponsor spotlight: Sociedade Brasileira de FΓsica (SBF) π§π·
Supporting physics research and education across Brazil - and helping connect the community to #ICHEP2026.