Tootfinder

from my link log —
Fast GPU bounding boxes on tree-structured scenes via the bracket matching stack monoid.
https://arxiv.org/abs/2205.11659
saved 2025-11-04 https://…

Fast GPU bounding boxes on tree-structured scenes
Computation of bounding boxes is a fundamental problem in high performance rendering, as it is an input to visibility culling and binning operations. In a scene description structured as a tree, clip nodes and blend nodes entail intersection and union of bounding boxes, respectively. These are straightforward to compute on the CPU using a sequential algorithm, but an efficient, parallel GPU algorithm is more elusive. This paper presents a fast and practical solution, with a new algorithm for th…

Optimal Binning for Small-Angle Neutron Scattering Data Using the Freedman-Diaconis Rule
Jessie E. An, Chi-Huan Tung, Changwoo Do, Wei-Ren Chen
https://arxiv.org/abs/2510.09581 …

Optimal Binning for Small-Angle Neutron Scattering Data Using the Freedman-Diaconis Rule
Small-Angle Neutron Scattering (SANS) data analysis often relies on fixed-width binning schemes that overlook variations in signal strength and structural complexity. We introduce a statistically grounded approach based on the Freedman-Diaconis (FD) rule, which minimizes the mean integrated squared error between the histogram estimate and the true intensity distribution. By deriving the competing scaling relations for counting noise ($\propto h^{-1}$) and binning distortion ($\propto h^{2}$), w…

QML-FAST - A Fast Code for low-$\ell$ Tomographic Maximum Likelihood Power Spectrum Estimation
Yurii Kvasiuk, Anderson Lai, Moritz M\"unchmeyer, Kendrick M. Smith
https://arxiv.org/abs/2510.05215 …

QML-FAST - A Fast Code for low-$\ell$ Tomographic Maximum Likelihood Power Spectrum Estimation
We present a novel implementation for the quadratic maximum likelihood (QML) power spectrum estimator for multiple correlated scalar fields on the sphere. Our estimator supports arbitrary binning in redshift and multipoles $\ell$ and includes cross-correlations of redshift bins. It implements a fully optimal analysis with a pixel-wise covariance model. We implement a number of optimizations which make the estimator and associated covariance matrix computationally tractable for a low-$\ell$ anal…

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