Expanding Heliophysics to Engage in Interdisciplinary Star-Planet Interactions Studies
Bibliographic record
Abstract
Traditionally, heliophysics is characterized as the study of the near-Earth space environment, where plasmas and neutral gases originating from the Earth and the Sun, and to a lesser extent other solar system bodies, interact in ways that are detectable only through in-situ or close-range (usually within ~10 AU) remote sensing.As a result, heliophysics has data from the space environment around a handful of solar system objects, in particular the Sun and the Earth.Comparatively, Astrophysics has data from an extensive array of objects, but is more limited in temporal, spatial, and wavelength information from any individual object.Thus, our understanding of planetary space environments as a complex, multi-dimensional network of specific interacting systems may in the past have seemed to have little to do with the highly diverse space environments detected through astrophysical methods.Recent technological advances have begun to bridge this divide.Exoplanetary studies are opening up avenues to study planetary environments beyond our solar system, with missions like Kepler, TESS and JWST.Radio observatories such as LOFAR are also being utilized in the search for star-planet interaction signatures.At the same time, heliophysics studies are pushing beyond the boundaries of our heliosphere with Voyager, IBEX, and the future IMAP mission.The interdisciplinary field of star-exoplanet interactions is a critical emerging area of study that enriches heliophysics.A multidisciplinary approach to heliophysics enables us to better understand environments beyond our solar system and universal processes that operate in diverse environments, as well as the evolution of our solar system and extreme space weather.The expertise, data, theory, and modeling tools developed by heliophysicists are crucial in understanding the space environments of exoplanets, their host stars, and potential habitability.The high value of interdisciplinary studies promises to go far beyond any individual topic by enriching all subfields involved in the collaborations.The mutual benefit that heliophysics and exoplanetary studies offer each other depends on strong, continuing solar system-focused and Earth-focused heliophysics studies.It is crucial for the heliophysics discipline to receive new targeted funding to support inter-divisional opportunities, including small multi-disciplinary research projects, large collaborative research teams, and observations targeting the heliophysics of planetary and exoplanet systems.Here we discuss areas of heliophysics-relevant exoplanetary research, observational opportunities and challenges, and ways to promote the inclusion of heliophysics within the wider exoplanetary community.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.007 | 0.011 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.022 | 0.007 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".