L<i>i</i>DO: Discovery of a 10:1 Resonator with a Novel Libration State
Bibliographic record
Abstract
Abstract The Large inclination Distant Objects (L i DO) survey has discovered the first securely classified object in the 10:1 mean motion resonance of Neptune. This object, 2020 VN 40 , is short-term stable in the 10:1 resonance, but not stable on Gyr timescales. 2020 VN 40 is likely part of the scattering sticking population, and temporarily resides in the 10:1 resonance at ∼139.5 au. This discovery confirms that this distant resonance is populated, as a single detection is likely to be indicative of a large population that is difficult to detect due to observational biases. This object has an inclination of 33 <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mover> <mml:mrow> <mml:mo>.</mml:mo> </mml:mrow> <mml:mrow> <mml:mtext>°</mml:mtext> </mml:mrow> </mml:mover> </mml:math> 4, and n -body integrations of orbital clones of 2020 VN 40 have revealed some unexpected evolutions. While clones of 2020 VN 40 show resonant libration around the expected resonance centers of approximately 90°, 180°, and 270°, for a restricted range of inclination and eccentricity values some clones librate around a resonant argument of 0°. As this occurs for the slightly lower-eccentricity portions of the evolution, this behavior can also be quite stable. Our initial exploration suggests that this libration around a center of 0° is a generic effect for highly inclined objects in n :1 resonances because the nature of their resonant interaction with Neptune becomes a strong function of their argument of pericenter, ω . At large inclination, the resonant islands shift as ω precesses, switching the center of symmetric libration to 0° for ω = 90° and ω = 270°. 2020 VN 40 provides interesting insight into the evolution of the large-inclination resonators, which become more common at increasing semimajor axes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".