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Rossi-alpha Benchmark Validation of a Static Alpha Eigenvalue Capability in OpenMC
arXiv:2606.00907v1 Announce Type: new Abstract: A static alpha eigenvalue capability was implemented in a modified version of the open-source Monte Carlo radiation transport code OpenMC and validated against Rossi-alpha measurements from 21 delayed-critical benchmark experiments and 33 subcritical configurations spanning fast, intermediate, and thermal systems with U-233, HEU, IEU, LEU, and plutonium fuels. The effective delayed neutron fraction was calculated using the k-prompt method, and...
Alpha School’s Ritzy New York City Campus Costs $65,000 a Year—but Isn’t Actually a School
In the fall of 2025, top executives from Alpha School gathered a group of wealthy New York City parents at a series of information sessions in Lower Manhattan to pitch them on the company’s new campus. The events, some of which were hosted by Alpha cofounder MacKenzie Price and its billionaire principal, Joe Liemandt, were designed to show how Alpha was “redefining school” through AI-powered learning models. The goal: persuade families to ditch the city’s traditional education system and...
Efficient $(\alpha,\beta)$-core Computation and On-the-fly Query at Billion Scale with GPUs
arXiv:2606.07148v1 Announce Type: new Abstract: In bipartite graphs, $(\alpha,\beta)$-core is a widely used model for cohesive subgraph mining. Specifically, an $(\alpha,\beta)$-core is a maximal subgraph in which each vertex in the upper layer has degree at least $\alpha$, and each vertex in the lower layer has degree at least $\beta$.
AlphaEval: A Comprehensive and Efficient Evaluation Framework for Formula Alpha Mining
Announce Type: replace Abstract: Formula alpha mining, which generates predictive signals from financial data, is critical for quantitative investment. Although various algorithmic approaches-such as genetic programming, reinforcement learning, and large language models-have significantly expanded the capacity for alpha discovery, systematic evaluation remains a key challenge. Existing evaluation metrics predominantly include backtesting and correlation-based measures.
From Flat to Hierarchical: Evolving Tree-structured Thoughts for Fine-grained Alpha Mining
arXiv:2508.16334v2 Announce Type: replace Abstract: Alpha mining, aimed at discovering predictive return signals, is typically formulated as symbolic regression. Traditional symbolic methods suffer from search inefficiency and biased prior knowledge. Recently, Large Language Models (LLMs) have emerged as a promising alternative, automatically generating textual thoughts and executable codes to achieve both efficient and interpretable alpha mining.
Critical Te-104 decay measurements may help answer century-old alpha particle formation question
Critical Te-104 decay measurements may help answer century-old alpha particle formation question Gaby Clark Scientific Editor Robert Egan Associate Editor University of Tennessee, Knoxville physicists and their colleagues have made critical measurements of the lifetime and decay energy of tellurium-104 (Te-104), an important step in answering a century-old question and understanding how hundreds of nuclei decay. The results are published in Nature. A particle determined to escape Professor...
How animals use leveling behaviors to put alphas in their place
How animals use leveling behaviors to put alphas in their place Gaby Clark Scientific Editor Robert Egan Associate Editor Inequality is not unique to human groups and societies. Individuals with relatively little power possess a variety of behavioral strategies to counterbalance or regulate power differences. In humans, these strategies include criticism, ridicule, disobedience, or even the expulsion or execution of powerful individuals.
PSF-like Alpha-Particle Events in LSST Images
Announce Type: cross Abstract: Rare $\alpha$-particle-induced charge clusters appear in LSST images as compact, PSF-like sources with a median FWHM of $0.\!\!^{\prime\prime}95$ and median ellipticity consistent with zero, closely resembling unresolved astrophysical point sources. These events are detected in both dark and science exposures at a rate of approximately $10^{-12}\ \mathrm{pixel}^{-1}\ \mathrm{s}^{-1}$. Their collected charge and morphology are consistent with energy deposition...
Gen Alpha is learning vastly different lessons about money, depending on whether their parents are millennials or Gen X
The financial lessons Gen Alpha learns appear to differ significantly depending on whether their parents belong to Gen X or Millennials. Research indicates that children raised by Gen X parents maintain
$\alpha$-PFN: Fast Entropy Search via In-Context Learning
Announce Type: new Abstract: Information-theoretic acquisition functions such as Entropy Search (ES) offer a principled exploration-exploitation framework for Bayesian optimization (BO). However, their practical implementation relies on complicated and slow approximations, i.e., a Monte Carlo estimation of the information gain. This complexity can introduce numerical errors and requires specialized, hand-crafted implementations.