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This is a work-in-progress paper. The flipped classroom (FC) model is a well established teaching strategy dating to 1970’s practices in the Soviet Union. FC has two decades of use in post-secondary education since it was proposed by Lage et al. However, breaking studies find no academic improvement with FC model among minority students. Rather, it distances at-risk students. Indeed, certain demographics prefer authoritative over dialogic instruction style. We are motivated to determine FCs effectiveness with students at a medium-sized Hispanic Serving Institution (HSI) and Minority Serving Institution (MSI). For one of our NSF grant activities, we piloted two variations of the flipped classroom model. The key idea is that literature finds that FC classes need better regulation of underperforming students. Generally, the FC models in our work included peer-instruction, active learning, recorded lectures, and pre-assessment quizzes. There were no post-assessment assignments or traditional homework. Some sections employed Just-in-Time-Teaching, and careful selection of groups according to skill (within-class homogenous grouping). Other sections experimented with diversity and inclusion-based grouping and project-based learning. Students at the university are non-traditional, a term used to describe individuals who meet some of the following criteria: having a significant gap between post-secondary education and high-school graduation, being financially independent from their parents, having dependents, and working twenty or more hours per week. 60% of the individuals at our campus are Pell eligible. We study an intersectional inequality: wage-based work is disinclined to accommodate students attending lecture during the work day, and minorities may not prefer dialogic instruction. We analyze student attitudes since Fall 2020, among tens of class sections and hundreds of students. Class sections in the study are upper-division core courses in Computer Science, Computer Engineering and Electrical Engineering. Data is collected from mostly online sections during the COVID-19 pandemic. A pre- and post-surveys were administered collecting demographic information and student attitudes. Hispanic/Latino(a) students found videos to be a complete study medium—that it was not required to seek out third-party materials to prepare for class. They found the class to be more engaging, and self-identified that they could identify previous concepts important to the task at hand. Results were surprising because there were no statistically significant differences with a general population’s exposure to FC. Hispanic/Latino(a)s find the FC model described in our work engaging and effective. 

Abstract The origin of high-energy galactic cosmic rays is yet to be understood, but some galactic cosmic-ray accelerators can accelerate cosmic rays up to PeV energies. The high-energy cosmic rays are expected to interact with the surrounding material or radiation, resulting in the production of gamma-rays and neutrinos. To optimize for the detection of such associated production of gamma-rays and neutrinos for a given source morphology and spectrum, a multimessenger analysis that combines gamma-rays and neutrinos is required. In this study, we use the Multi-Mission Maximum Likelihood framework with IceCube Maximum Likelihood Analysis software and HAWC Accelerated Likelihood to search for a correlation between 22 known gamma-ray sources from the third HAWC gamma-ray catalog and 14 yr of IceCube track-like data. No significant neutrino emission from the direction of the HAWC sources was found. We report the best-fit gamma-ray model and 90% CL neutrino flux limit from the 22 sources. From the neutrino flux limit, we conclude that, for five of the sources, the gamma-ray emission observed by HAWC cannot be produced purely from hadronic interactions. We report the limit for the fraction of gamma-rays produced by hadronic interactions for these five sources. 

Abstract Name that Neutrinois a citizen science project where volunteers aid in classification of events for the IceCube Neutrino Observatory, an immense particle detector at the geographic South Pole. From March 2023 to September 2023, volunteers did classifications of videos produced from simulated data of both neutrino signal and background interactions.Name that Neutrinoobtained more than 128,000 classifications by over 1800 registered volunteers that were compared to results obtained by a deep neural network machine-learning algorithm. Possible improvements for bothName that Neutrinoand the deep neural network are discussed. 

Abstract More than 10000 photomultiplier tubes (PMTs) with a diameter of 80 mm will be installed in multi-PMT Digital Optical Modules (mDOMs) of the IceCube Upgrade. These have been tested and pre-calibrated at two sites. A throughput of more than 1000 PMTs per week with both sites was achieved with a modular design of the testing facilities and highly automated testing procedures. The testing facilities can easily be adapted to other PMTs, such that they can, e.g., be re-used for testing the PMTs for IceCube-Gen2. Single photoelectron response, high voltage dependence, time resolution, prepulse, late pulse, afterpulse probabilities, and dark rates were measured for each PMT. We describe the design of the testing facilities, the testing procedures, and the results of the acceptance tests. 

Abstract The IceCube Neutrino Observatory relies on an array of photomultiplier tubes to detect Cherenkov light produced by charged particles in the South Pole ice. IceCube data analyses depend on an in-depth characterization of the glacial ice, and on novel approaches in event reconstruction that utilize fast approximations of photoelectron yields. Here, a more accurate model is derived for event reconstruction that better captures our current knowledge of ice optical properties. When evaluated on a Monte Carlo simulation set, the median angular resolution for in-ice particle showers improves by over a factor of three compared to a reconstruction based on a simplified model of the ice. The most substantial improvement is obtained when including effects of birefringence due to the polycrystalline structure of the ice. When evaluated on data classified as particle showers in the high-energy starting events sample, a significantly improved description of the events is observed. 

Neutrino oscillations at the highest energies and longest baselines can be used to study the structure of spacetime and test the fundamental principles of quantum mechanics. If the metric of spacetime has a quantum mechanical description, its fluctuations at the Planck scale are expected to introduce non-unitary effects that are inconsistent with the standard unitary time evolution of quantum mechanics. Neutrinos interacting with such fluctuations would lose their quantum coherence, deviating from the expected oscillatory flavour composition at long distances and high energies. Here we use atmospheric neutrinos detected by the IceCube South Pole Neutrino Observatory in the energy range of 0.5–10.0 TeV to search for coherence loss in neutrino propagation. We find no evidence of anomalous neutrino decoherence and determine limits on neutrino–quantum gravity interactions. The constraint on the effective decoherence strength parameter within an energy-independent decoherence model improves on previous limits by a factor of 30. For decoherence effects scaling as E2 , our limits are advanced by more than six orders of magnitude beyond past measurements compared with the state of the art. 

Abstract Neutrino flares in the sky are searched for in data collected by IceCube between 2011 and 2021 May. This data set contains cascade-like events originating from charged-current electron neutrino and tau neutrino interactions and all-flavor neutral-current interactions. IceCube’s previous all-sky searches for neutrino flares used data sets consisting of track-like events originating from charged-current muon neutrino interactions. The cascade data set is statistically independent of the track data sets, and while inferior in angular resolution, the low-background nature makes it competitive and complementary to previous searches. No statistically significant flare of neutrino emission was observed in an all-sky scan. Upper limits are calculated on neutrino flares of varying duration from 1 hr to 100 days. Furthermore, constraints on the contribution of these flares to the diffuse astrophysical neutrino flux are presented, showing that multiple unresolved transient sources may contribute to the diffuse astrophysical neutrino flux.