🚀 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.

#HEP #MachineLearning #ParticlePhysics #OpenSource

The fine-structure constant alpha ~ 1/137.036 is one of the most precisely measured numbers in physics, yet its origin remains unexplained. A new preprint reframes alpha not as an abstract coupling constant, but as a projective cross-ratio: the classical electron radius divided by the reduced Compton wavelength.

Full preprint: https://doi.org/10.5281/zenodo.20100109

#Physics #QuantumMechanics #Mathematics #ProjectiveGeometry #Science #Research #Academic #ParticlePhysics

Fine-Structure Constant as a Cross-Ratio: A Geometric Reframing of α

The fine-structure constant $\alpha \approx 1/137.036$ is one of the most precisely measured numbers in physics, yet its origin remains unexplained. The standard presentation—$\alpha = e^2/(4\pi\varepsilon_0\hbar c)$ with dimensionful constants—frames it as an abstract coupling strength, obscuring its geometric character. This document proposes a reframing: $\alpha$ is naturally understood as the cross-ratio of two measurable length scales characterizing the electron—the classical electron radius $r_e$ and the reduced Compton wavelength $\bar{\lambda}_C$. The reframing makes three contributions: (a) it reveals $\alpha$’s projective invariance structure, explaining why $\alpha$ is independent of unit choices and coordinate rescalings in geometric rather than algebraic terms; (b) it connects to the integer-ratio structure of precision experiments, where $\alpha$ is determined from rational observables (quantum Hall filling factors $\nu = p/q$, Penning trap frequency ratios $N_s/N_c)$; and (c) it integrates five complementary mathematical formalisms—adelic, projective, topological, syntactic, and hierarchical—that illuminate different aspects of $\alpha$’s cross-ratio nature. The document includes Python-verified quantitative results, historical context (Eddington, Wyler), experimental grounding, and an honest acknowledgment of limitations—most notably that $\alpha = r_e/\bar{\lambda}_C$ is an algebraic identity, not a first-principles derivation, and the contribution lies in conceptual reframing rather than numerical prediction.

Zenodo
Physicists discover quantum particles that break the rules of reality

Physicists may have just cracked open a hidden side of the quantum world. For decades, every known particle was thought to belong to one of two categories — bosons or fermions — but researchers have now shown that bizarre “in-between” particles called anyons could also exist in a one-dimensional system. Even more exciting, these strange particles may be adjustable, allowing scientists to tune their behavior in ways never before possible.

ScienceDaily

Molecules shed light on #DarkMatter: Analysis of precision measurements of unexplored interactions between electrons and atomic nuclei give information of new particles 👉 https://prisma.uni-mainz.de/en/2026/05/11/molecules-shed-light-on-dark-matter/

#ParticlePhysics #physics #antimatter #universe #cosmology #ClusterOfExcellencePRISMA

Researchers are utilizing precision measurements of barium monofluoride (BaF) molecules to explore unmapped interactions between electrons and atomic nuclei, yielding new constraints on particles that may constitute dark matter.
#ParticlePhysics #MolecularPhysics #Astrophysics #DarkMatter #sflorg
https://www.sflorg.com/2026/05/phy05112601.html
Molecules shed light on dark matter

Precision measurements of barium monofluoride molecules reveal hidden forces, providing groundbreaking new constraints on dark matter particles.

US kicks off underground assembly of giant DUNE neutrino detectors

The US has begun lowering 10 million pounds of CERN-supplied steel a mile underground to build the massive DUNE detectors.

Interesting Engineering
#DarkSideOfTheUniverse documentary is a fascinating look at dark matter and dark energy in the universe. Now I want to learn about #ParticlePhysics. #astronomy #physics #science