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Industry leaders emphasize that engineering students' technical communication and writing skills must be improved. Despite various institutional efforts, which include technical communication courses or engineering design projects aimed at enhancing students’ communication abilities, many believe there has been only slow improvement in this area. There has also been a dearth of longitudinal studies that examine the development of engineering students’ technical communication competencies from undergraduate to industry. This paper aims to contribute to this area through the creation of a rubric that specifically examines the writing competencies and technical communication ability of engineering students. This paper is part of a larger, NSF-funded research study that examines the quality of students’ written and oral communication skills and seeks to understand their relationship to the students’ spatial abilities. First-year engineering students in their second semester at a large R1 Midwestern university were examined. Students were tasked with creating a written report responding to a set of questions that asked about their team-based engineering design project completed in their first semester. As this occurred months prior, this non-graded report became a reflection on their experience and innate abilities. While low stakes, it mimicked a more authentic writing experience students encounter in industry. Students' responses were examined collaboratively by an interdisciplinary team which created a rubric through an iterative process. This rubric was distributed to the interdisciplinary team and outside evaluators composed of individuals in industry and engineering faculty. An inter-rater reliability analysis was conducted to examine levels of agreement between the interdisciplinary team and outside evaluators, and implications of this inter-rater reliability score and the process of rubric application were documented. Results of this paper include details on the development of a rubric that examine students’ technical communication and writing skills. Traditional rubrics utilized by engineering faculty usually address an entire project for engineering students, which includes students' content knowledge, writing capabilities, and the requirements of the project. Such rubrics are often used to provide feedback to students and evaluation in the form of grades. The narrower focus of the rubric being developed here can provide insights into communication and writing competencies of engineering students. Scores secured through the use of this rubric will aid in the research study’s goal of finding correlations between engineering students’ communication skills and spatial abilities (assessed outside of this current effort). Spatial ability has been well-documented as an effective indicator of success in STEM, and interventions have been developed to support development in students with weaker spatial skills. 23, 24This has prompted this research to explore links between spatial skills and communication abilities, as validated spatial interventions may help improve communication abilities. These current results may also provide unique insights into first-year engineering students’ writing competencies when reporting on a more authentic (non-graded) engineering task. Such information may be useful in eventually shaping guidance of students’ communication instruction in hopes of better preparing them for industry; this is the focus of a planned future research study. 

Industry leaders rarely remark that the technical skills of engineering students are lacking; however, they frequently indicate that new engineers should be better prepared in communication skills, particularly written communication skills. In contrast, the visualization ability, or spatial skills, of engineering majors are typically excellent. Prior research has demonstrated that spatial ability is a significant predictor for graduating from STEM fields, particularly in engineering. This paper is part of a larger project that is exploring whether these two phenomena – poor written communication skills and well-developed spatial skills – are linked. In other words, is there a negative correlation between these two types of skills for engineering students? Data for this study was collected from first-year engineering students at a large university in the U.S. An online survey was administered that consisted of two validated spatial visualization tests, a verbal analogy task, and questions regarding students’ self-perceived communication ability. Student scores on spatial visualization tests and a verbal analogy task were compared between student groups and students’ perceived ability to communicate. Results identified statistically significant differences in test scores between domestic and international male students on all three tests. Interestingly, no gender-based differences were observed in spatial skills. Results from this study will contribute to future exploration of the link between spatial and technical communication skills. Results can also help inform the development of an intervention aimed at improving the written technical communication skills of our engineering students by helping them learn to write about spatial phenomena. 

Abstract Long-period radio transients are an emerging class of extreme astrophysical events of which only three are known. These objects emit highly polarized, coherent pulses of typically a few tens of seconds duration, and minutes to approximately hour-long periods. Although magnetic white dwarfs and magnetars, either isolated or in binary systems, have been invoked to explain these objects, a consensus has not emerged. Here we report on the discovery of ASKAP J193505.1+214841.0 (henceforth ASKAP J1935+2148) with a period of 53.8 minutes showing 3 distinct emission states—a bright pulse state with highly linearly polarized pulses with widths of 10–50 seconds; a weak pulse state that is about 26 times fainter than the bright state with highly circularly polarized pulses of widths of approximately 370 milliseconds; and a quiescent or quenched state with no pulses. The first two states have been observed to progressively evolve over the course of 8 months with the quenched state interspersed between them suggesting physical changes in the region producing the emission. A constraint on the radius of the source for the observed period rules out an isolated magnetic white-dwarf origin. Unlike other long-period sources, ASKAP 1935+2148 shows marked variations in emission modes reminiscent of neutron stars. However, its radio properties challenge our current understanding of neutron-star emission and evolution. 

Abstract The detection of a neutron star merger by the Advanced Laser Interferometer Gravitational-Wave Observatory and Advanced Virgo gravitational wave detectors, and the subsequent detection of an electromagnetic counterpart have opened a new era of transient astronomy. With upgrades to the Advanced Laser Interferometer Gravitational-Wave Observatory and Advanced Virgo detectors and new detectors coming online in Japan and India, neutron star mergers will be detected at a higher rate in the future, starting with the O3 observing run which will begin in early 2019. The detection of electromagnetic emission from these mergers provides vital information about merger parameters and allows independent measurement of the Hubble constant. The Australian Square Kilometre Array Pathfinder is expected to become fully operational in early 2019, and its 30 deg 2 field of view will enable us to rapidly survey large areas of sky. In this work we explore prospects for detecting both prompt and long-term radio emission from neutron star mergers with Australian Square Kilometre Array Pathfinder and determine an observing strategy that optimises the use of telescope time. We investigate different strategies to tile the sky with telescope pointings in order to detect radio counterparts with limited observing time, using 475 simulated gravitational wave events. Our results show a significant improvement in observing efficiency when compared with a naïve strategy of covering the entire localisation above some confidence threshold, even when achieving the same total probability covered. 

Abstract We present the full panchromatic afterglow light-curve data of GW170817, including new radio data as well as archival optical and X-ray data, between 0.5 and 940 days post-merger. By compiling all archival data and reprocessing a subset of it, we have evaluated the impact of differences in data processing or flux determination methods used by different groups and attempted to mitigate these differences to provide a more uniform data set. Simple power-law fits to the uniform afterglow light curve indicate a t 0.86±0.04 rise, a t −1.92±0.12 decline, and a peak occurring at 155 ± 4 days. The afterglow is optically thin throughout its evolution, consistent with a single spectral index (−0.584 ± 0.002) across all epochs. This gives a precise and updated estimate of the electron power-law index, p = 2.168 ± 0.004. By studying the diffuse X-ray emission from the host galaxy, we place a conservative upper limit on the hot ionized interstellar medium density, <0.01 cm −3 , consistent with previous afterglow studies. Using the late-time afterglow data we rule out any long-lived neutron star remnant having a magnetic field strength between 10 10.4 and 10 16 G. Our fits to the afterglow data using an analytical model that includes Very Long Baseline Interferometry proper motion from Mooley et al., and a structured jet model that ignores the proper motion, indicates that the proper-motion measurement needs to be considered when seeking an accurate estimate of the viewing angle. 

Abstract The Pandora Software Development Kit and algorithm libraries perform reconstruction of neutrino interactions in liquid argon time projection chamber detectors. Pandora is the primary event reconstruction software used at the Deep Underground Neutrino Experiment, which will operate four large-scale liquid argon time projection chambers at the far detector site in South Dakota, producing high-resolution images of charged particles emerging from neutrino interactions. While these high-resolution images provide excellent opportunities for physics, the complex topologies require sophisticated pattern recognition capabilities to interpret signals from the detectors as physically meaningful objects that form the inputs to physics analyses. A critical component is the identification of the neutrino interaction vertex. Subsequent reconstruction algorithms use this location to identify the individual primary particles and ensure they each result in a separate reconstructed particle. A new vertex-finding procedure described in this article integrates a U-ResNet neural network performing hit-level classification into the multi-algorithm approach used by Pandora to identify the neutrino interaction vertex. The machine learning solution is seamlessly integrated into a chain of pattern-recognition algorithms. The technique substantially outperforms the previous BDT-based solution, with a more than 20% increase in the efficiency of sub-1 cm vertex reconstruction across all neutrino flavours. 

The determination of the direction of a stellar core collapse via its neutrino emission is crucial for the identification of the progenitor for a multimessenger follow-up. A highly effective method of reconstructing supernova directions within the Deep Underground Neutrino Experiment (DUNE) is introduced. The supernova neutrino pointing resolution is studied by simulating and reconstructing electron-neutrino charged-current absorption on ${}^{40}\mathrm{Ar}$and elastic scattering of neutrinos on electrons. Procedures to reconstruct individual interactions, including a newly developed technique called “brems flipping,” as well as the burst direction from an ensemble of interactions are described. Performance of the burst direction reconstruction is evaluated for supernovae happening at a distance of 10 kpc for a specific supernova burst flux model. The pointing resolution is found to be 3.4 degrees at 68% coverage for a perfect interaction-channel classification and a fiducial mass of 40 kton, and 6.6 degrees for a 10 kton fiducial mass respectively. Assuming a 4% rate of charged-current interactions being misidentified as elastic scattering, DUNE’s burst pointing resolution is found to be 4.3 degrees (8.7 degrees) at 68% coverage. Published by the American Physical Society2025 

Abstract This paper introduces a novel track-length extension fitting algorithm for measuring the kinetic energies of inelastically interacting particles in liquid argon time projection chambers (LArTPCs). The algorithm finds the most probable offset in track length for a track-like object by comparing the measured ionization density as a function of position with a theoretical prediction of the energy loss as a function of the energy, including models of electron recombination and detector response. The algorithm can be used to measure the energies of particles that interact before they stop, such as charged pions that are absorbed by argon nuclei. The algorithm's energy measurement resolutions and fractional biases are presented as functions of particle kinetic energy and number of track hits using samples of stopping secondary charged pions in data collected by the ProtoDUNE-SP detector, and also in a detailed simulation. Additional studies describe the impact of thedE/dxmodel on energy measurement performance. The method described in this paper to characterize the energy measurement performance can be repeated in any LArTPC experiment using stopping secondary charged pions. 

The international collaboration designing and constructing the Deep Underground Neutrino Experiment (DUNE) at the Long-Baseline Neutrino Facility (LBNF) has developed a two-phase strategy toward the implementation of this leading-edge, large-scale science project. The 2023 report of the US Particle Physics Project Prioritization Panel (P5) reaffirmed this vision and strongly endorsed DUNE Phase I and Phase II, as did the European Strategy for Particle Physics. While the construction of the DUNE Phase I is well underway, this White Paper focuses on DUNE Phase II planning. DUNE Phase-II consists of a third and fourth far detector (FD) module, an upgraded near detector complex, and an enhanced 2.1 MW beam. The fourth FD module is conceived as a "Module of Opportunity", aimed at expanding the physics opportunities, in addition to supporting the core DUNE science program, with more advanced technologies. This document highlights the increased science opportunities offered by the DUNE Phase II near and far detectors, including long-baseline neutrino oscillation physics, neutrino astrophysics, and physics beyond the standard model. It describes the DUNE Phase II near and far detector technologies and detector design concepts that are currently under consideration. A summary of key R&D goals and prototyping phases needed to realize the Phase II detector technical designs is also provided. DUNE's Phase II detectors, along with the increased beam power, will complete the full scope of DUNE, enabling a multi-decadal program of groundbreaking science with neutrinos.