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The knowledge and technologies that move our society forward and preserve our international competitive advantage rely upon a highly skilled workforce that is adept at conducting complex scientific and technical research—and in translating its outcome into useful products and services. “Use-inspired” research is driven by specific needs and interests and naturally focuses on socioeconomically advantageous application, whereas academic research tends to be driven by an intrinsic quest for new knowledge. Each has its role in overall technological development, however, the skills and knowledge crucial for success in these domains can differ significantly. To integrate these two approaches in doctoral training in STEM fields, a national workshop of ~100 leaders of industry, academia, funding agencies and non-profits was held with the goal of developing a robust understanding of the current status of the pipeline from graduate degree programs in STEM into professional research environments. At the conclusion, the Workshop participants identified gaps in the present training of STEM doctorates. Then they endorsed the Pasteur Partners PhD (P3) track recently established at Lehigh University as a new model for student-centered workforce training based on use-inspired research in partnership with industry. Here, we present the key outcomes of the workshop and describe the four distinctive features of the P3 program: 1. Pre-program summer internship; 2. Co-advising of students by a university faculty member and an industry researcher; 3. Instructions for developing essential professional skills; 4. Industry Residency (as in medical school). In this context, ‘Industry’ is defined broadly to include private corporations, national labs, defense organizations, healthcare institutes, etc., which hire PhDs. Collectively, we consider this as a model for the much needed redesigning of the US STEM doctoral education to create a national workforce of technical leaders. Finally, challenges to the implementation of the P3 track are identified. Paper presented at 2023 ASEE Annual Conference & Exposition, Baltimore , Maryland. https://peer.asee.org/44062 

Abstract The Summertime Line Intensity Mapper (SLIM) is a mm-wave line-intensity mapping (mm-LIM) experiment for the South Pole Telescope (SPT). The goal of SPT-SLIM is to serve as a technical and scientific pathfinder for the demonstration of the suitability and in-field performance of multi-pixel superconducting filterbank spectrometers for future mm-LIM experiments. Scheduled to deploy in the 2023-24 austral summer, the SPT-SLIM focal plane will include 18 dual-polarisation pixels, each coupled to an$$R = \lambda / \Delta \lambda = 300$$ $R=\lambda /\Delta \lambda =300$thin-film microstrip filterbank spectrometer that spans the 2 mm atmospheric window (120–180 GHz). Each individual spectral channel feeds a microstrip-coupled lumped-element kinetic inductance detector, which provides the highly multiplexed readout for the 10k detectors needed for SPT-SLIM. Here, we present an overview of the preliminary design of key aspects of the SPT-SLIM focal plane array, a description of the detector architecture and predicted performance, and initial test results that will be used to inform the final design of the SPT-SLIM spectrometer array. 

Abstract We measure the stacked lensing signal in the direction of galaxy clusters in the Dark Energy Survey Year 3 (DES Y3) redMaPPer sample, using cosmic microwave background (CMB) temperature data from SPT-3G, the third-generation CMB camera on the South Pole Telescope (SPT). Here, we estimate the lensing signal using temperature maps constructed from the initial 2 years of data from the SPT-3G 'Main' survey, covering 1500 deg²of the Southern sky. We then use this lensing signal as a proxy for the mean cluster mass of the DES sample. The thermal Sunyaev-Zel'dovich (tSZ) signal, which can contaminate the lensing signal if not addressed, is isolated and removed from the data before obtaining the mass measurement. In this work, we employ three versions of the redMaPPer catalogue: a Flux-Limited sample containing 8865 clusters, a Volume-Limited sample with 5391 clusters, and a Volume&Redshift-Limited sample with 4450 clusters. For the three samples, we detect the CMB lensing signal at a significance of 12.4σ, 10.5σand 10.2σand find the mean cluster masses to be  M_200m= 1.66±0.13 [stat.]± 0.03 [sys.], 1.97±0.18 [stat.]± 0.05 [sys.], and 2.11±0.20 [stat.]± 0.05 [sys.]×10¹⁴M_⊙, respectively. This is a factor of ∼ 2 improvement relative to the precision of measurements with previous generations of SPT surveys and the most constraining cluster mass measurements using CMB cluster lensing to date. Overall, we find no significant tensions between our results and masses given by redMaPPer mass-richness scaling relations of previous works, which were calibrated using CMB cluster lensing, optical weak lensing, and velocity dispersion measurements from various combinations of DES, SDSS and Planck data. We then divide our sample into 3 redshift and 3 richness bins, finding no significant discrepancies with optical weak-lensing calibrated masses in these bins. We forecast a 5.7% constraint on the mean cluster mass of the DES Y3 sample with the complete SPT-3G surveys when using both temperature and polarization data and including an additional ∼ 1400 deg²of observations from the 'Extended' SPT-3G survey.