Interstellar neutral helium in the heliosphere from IBEX observations. III. Mach number of the flow, velocity vector, and temperature from the first six years of measurements
M. Bzowski, P. Swaczyna, M.A. Kubiak, J.M. Sokol, S.A. Fuselier, A., Galli, D. Heirtzler, H. Kucharek, T.W. Leonard, D.J. McComas, E. Moebius,, N.A. Schwadron, P. Wurz

TL;DR
This study analyzes six years of IBEX data to precisely determine the Mach number, velocity vector, and temperature of interstellar neutral helium flow in the heliosphere, confirming previous findings and identifying potential model inaccuracies.
Contribution
It provides the first comprehensive analysis of six years of IBEX data to constrain ISN helium parameters, especially the Mach number, with improved methods and insights into parameter correlations.
Findings
Mach number tightly constrained and in agreement with previous analyses.
Inflow velocity vector and temperature determined with high precision.
Identified potential inaccuracies in the Warm Breeze parameters affecting results.
Abstract
We analyzed observations of interstellar neutral helium (ISN~He) obtained from the Interstellar Boundary Explorer (IBEX) satellite during its first six years of operation. We used a refined version of the ISN~He simulation model, presented in the companion paper by Sokol_et al. 2015, and a sophisticated data correlation and uncertainty system and parameter fitting method, described in the companion paper by Swaczyna et al 2015. We analyzed the entire data set together and the yearly subsets, and found the temperature and velocity vector of ISN~He in front of the heliosphere. As seen in the previous studies, the allowable parameters are highly correlated and form a four-dimensional tube in the parameter space. The inflow longitudes obtained from the yearly data subsets show a spread of ~6 degree, with the other parameters varying accordingly along the parameter tube, and the minimum…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
