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A Fast Bow Shock Location Predictor-Estimator From 2D and 3D Analytical Models: Application to Mars and the MAVEN Mission.

ABSTRACT: We present fast algorithms to automatically estimate the statistical position of the bow shock from spacecraft data, using existing analytical two-dimensional (2D) and three-dimensional (3D) models of the shock surface. We derive expressions of the standoff distances in 2D and 3D and of the normal to the bow shock at any given point on it. Two simple bow shock detection algorithms are constructed, one solely based on a geometrical predictor from existing models, the other using this predicted position to further refine it with the help of magnetometer data, an instrument flown on many planetary missions. Both empirical techniques are applicable to any planetary environment with a defined shock structure. Applied to the Martian environment and the NASA/MAVEN mission, the predicted shock position is on average within 0.15 planetary radius R _p of the bow shock crossing. Using the predictor-corrector algorithm, this estimate is further refined to within a few minutes of the true crossing (≈0.05R _p). Between 2014 and 2021, we detect 14,929 clear bow shock crossings, predominantly quasi-perpendicular. Thanks to 2D conic and 3D quadratic fits, we investigate the variability of the shock surface with respect to Mars Years (MY), solar longitude (Ls), and solar EUV flux levels. Although asymmetry in Y and Z Mars Solar Orbital coordinates is on average small, we show that for MY32 and MY35, Ls = [135°-225°] and high solar flux, it can become particularly noticeable, and is superimposed to the usual North-South asymmetry due in part to the presence of crustal magnetic fields.

SUBMITTER: Simon Wedlund C

PROVIDER: S-EPMC9285960 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Interplanetary human spaceflight represents a formidable medical challenge, but also provides a unique platform for investigating human adaptation to extreme environmental changes. Understanding the long-term effects of isolation has relevance in a range of scenarios and it is well recognized that a better understanding of the relationship between environmental exposure and the epigenome can lead to more effective preventive measures. Here we conduct a longitudinal epigenetic, mood state and biochemical profiling of 6 crew members in an experiment simulating a 520-day mission to Mars. Illumina HumanMethylation450 BeadChip was used to obtain DNA methylation profiles. Firstly, we found that long-term isolation can induce global DNA methylation remodeling, and this change seems to be an active adaptation (rather than a random process or a by-product of the isolation). This study is the first to demonstrate the dynamic relationship between global epigenetic remodeling and isolation-induced mood state and biochemical changes. Secondly, by considering the location of methylation sites within the genome and using gene-pathway annotation, we were able to identify pathways that were significantly enriched in methylation events and consider their association with specific function and the timeline of the mission. Thirdly, via our definition of epi-entropy, a measure of entropy adapted to methylation events, we observed that the methylation remodeling produced a marked reduction in epi-entropy. Results suggest that DNA methylation change is an indicator of change rather than its by-product, i.e., there is a psychology-epigenome-metabolism model of long-term depression; DNA methylation programs the environment signal into the epigenome, which is subsequently transformed into the biochemical output and health outcome. Thus, longitudinal epigenetic profiling could code the effect of isolation and act as early indicators of latent health outcome. A longitudinal epigenetic, mood state and biochemical profiling of 6 crew members in an experiment simulating a 520-day mission to Mars. 36 samples of blood cell DNA methylation profiling were obtained by Illumina HumanMethylation450 BeadChip, across 6 sampling points during the 520 days mission for all of the 6 crew members.

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A Fast Bow Shock Location Predictor-Estimator From 2D and 3D Analytical Models: Application to Mars and the MAVEN Mission.

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