The Boundary-spanning Role of Democratic Learning Communities: Implementing the IDEALS

This multi-case study investigates characteristics and practices in schools that expand the traditional boundaries of school leadership and transform schools into democratic learning communities based on the level of implementation of the IDEALS framework. This investigation serves as a modus to illuminate democratic processes that change schools and address the needs of the students, not the needs of the adults in the system. A sample of five purposefully selected high schools, from the Midwest USA, was utilized. The schools serve Grade 9—12 students, but vary in size, residential area and socioeconomic status of the students. This study illuminates some of the challenges and strategies that facilitate or impede the process of creating more democratic schools that expand the boundaries of inquiry and discourse to include a broader range of community stakeholders and that respect and embrace issues of equity.Yeshttps://us.sagepub.com/en-us/nam/manuscript-submission-guideline

Highly-parallelized simulation of a pixelated LArTPC on a GPU

The rapid development of general-purpose computing on graphics processing units (GPGPU) is allowing the implementation of highly-parallelized Monte Carlo simulation chains for particle physics experiments. This technique is particularly suitable for the simulation of a pixelated charge readout for time projection chambers, given the large number of channels that this technology employs. Here we present the first implementation of a full microphysical simulator of a liquid argon time projection chamber (LArTPC) equipped with light readout and pixelated charge readout, developed for the DUNE Near Detector. The software is implemented with an end-to-end set of GPU-optimized algorithms. The algorithms have been written in Python and translated into CUDA kernels using Numba, a just-in-time compiler for a subset of Python and NumPy instructions. The GPU implementation achieves a speed up of four orders of magnitude compared with the equivalent CPU version. The simulation of the current induced on 10^3 pixels takes around 1 ms on the GPU, compared with approximately 10 s on the CPU. The results of the simulation are compared against data from a pixel-readout LArTPC prototype