Erratum: "On the Use of Field RR Lyrae as Galactic Probes. V. Optical and Radial Velocity Curve Templates" (2021, ApJ, 919, 85)

[no abstract available

The Physics of Star Cluster Formation and Evolution

© 2020 Springer-Verlag. The final publication is available at Springer via https://doi.org/10.1007/s11214-020-00689-4.Star clusters form in dense, hierarchically collapsing gas clouds. Bulk kinetic energy is transformed to turbulence with stars forming from cores fed by filaments. In the most compact regions, stellar feedback is least effective in removing the gas and stars may form very efficiently. These are also the regions where, in high-mass clusters, ejecta from some kind of high-mass stars are effectively captured during the formation phase of some of the low mass stars and effectively channeled into the latter to form multiple populations. Star formation epochs in star clusters are generally set by gas flows that determine the abundance of gas in the cluster. We argue that there is likely only one star formation epoch after which clusters remain essentially clear of gas by cluster winds. Collisional dynamics is important in this phase leading to core collapse, expansion and eventual dispersion of every cluster. We review recent developments in the field with a focus on theoretical work.Peer reviewe

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

Using the theory of social representations to explore difference in the research relationship

This article explores how the question of difference can be addressed within the research relationship. The first part of the article analyses the consequences of difference in one particularly compelling research encounter where accusations of racism damaged the research relationship. The author argues that we need to examine the researcher-researched relationship in detail and investigate the recognition of difference that structures this relationship in order to analyse material drawn from research. The second part of the article shows how this may be done within a particular social psychological perspective - that of the theory of social representations. This enables an exploration into the relationship between what is said, who said it and to whom, or, in other words, an analysis of the relationship between representations emerging and identities being played out in the research context. The value of this approach is illustrated by studying an example from the author's own research. The final part of the article demonstrates that difference in the researcher-researched relationship is not simply a problem of methodology but needs to be analysed as a feature of human relations. The article argues that an understanding of the relationship between social representations and identities illuminates the question of difference in qualitative research and demonstrates the value of difference