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Abstract To study the average contributions of the cusp outflow through the lobes and of the nightside auroral outflow to the O⁺in the plasma sheet (PS), we performed a statistical study of tailward streaming O⁺in the lobes, plasma sheet boundary layer|the plasma sheet boundary layer (PSBL) and the PS, using MMS/Hot Plasma Composition Analyzer (HPCA) data from 2017 to 2020. Similar spatial patterns illustrate the entry of cusp‐origin O⁺from the lobes to the PS through the PSBL. There is an Y_GSM‐dependent energy pattern for the lobe O⁺, with low‐energy O⁺streaming closer to the tail center and high energy (1–3 keV) O⁺streaming near the flanks. Low energy (1–100 eV) O⁺from the nightside auroral oval is identified in the near‐Earth PSBL/PS with high‐density (>0.02 cm⁻³), and energetic (>3 keV) streaming O⁺with similar density (∼0.013 cm⁻³) is observed further out on the duskside of the PSBL/PS. The rest of the nightside auroral O⁺in the PSBL is mixed with O⁺coming in from the lobe, making it difficult to distinguish the source. We estimated the contributions of the different sources of H⁺and O⁺ions through the PS between 7 and 17 R_E, using estimates from this work and data extracted from previous studies. We conclude that, during quiet times, the majority of the near‐Earth PS H⁺are from the cusps, the polar wind and Earthward convection from the distant tail. Similarly, while the O⁺in the same region has a mixed source, cusp origin outflow provides the highest contribution. 

Abstract The IceCube Neutrino Observatory, a cubic-kilometer detector at the South Pole, identifies neutrino flavor through event morphology. Sparse photon detection makes this classification particularly challenging in the 5–100 GeV regime, the energy range relevant for oscillation measurements and searches for physics beyond the Standard Model. We introduceWavePID, a template-based log-likelihood-ratio classifier that exploits nanosecond-scale timing on individual detector modules through three observables: the distance to the reconstructed vertex, the early-charge fraction, and the module-to-module time difference. Evaluated on a cascade-enriched sample selected by a state-of-the-art graph neural network,WavePIDimproves both cascade purity and classification performance over the neural network alone. This demonstrates that per-module pulse timing carries flavor-identification information complementary to morphology-based classifiers, opening a new physics-motivated observable for low-energy neutrino reconstruction.Geant4simulations associate this signal with differences in Cherenkov emission geometry between muon tracks and electromagnetic showers. These results motivate exploiting nanosecond-scale pulse timing in future low-energy classifiers and in detector designs with improved per-module timing in next-generation neutrino telescopes. 

This Letter extends a recent IceCube sterile neutrino search to include unstable sterile neutrinos within the context of a model termed $3+1+\mathrm{Decay}$ , which expands upon the $3+1$ model by introducing sterile neutrino decay to invisible particles with coupling constant $g^2$ . The model is attractive since it reduces tension between oscillation experiments within the global fits and with constraints that come from cosmological observables. The analysis uses 10.7 years of up-going muon neutrino data with energy 500 GeV to 100 TeV and with improved reconstruction and modeling of systematics. The best-fit point is found to be $g^2=0$ , ${\sin }^2\left(2{\theta }_{24}\right)=0.16$ , and $\mathrm{\Delta }{m}_{41}^2=3.5{\mathrm{eV}}^2$ , in agreement with the recent $3+1$ sterile neutrino search. Values of $g^2\ge \pi$ are excluded at 95% confidence level. This result substantially limits decay parameter space indicated by recent global fits, disfavoring the decay scenario.