Kepler two-body orbit

ADVANTAGES0 · dim 4

SolvSRK wins. At the comparison noise level, SolvSRK beats the best baseline by at least 10 percentage points of survival, or by at least 0.05 balanced score when survival is tied. Use SolvSRK for this class of problem. All verdicts →

The classic two-body orbital problem with conserved energy and angular momentum — a long-horizon integration test. A clean-precision honesty case where a specialised explicit method wins.

Oscillators & nonlinear dynamics

Problem definition

Canonical benchmark implementation

Canonical RHS excerpt from the registered callable used for this benchmark cell. Expand it to verify the state equations; it is not a standalone runnable fixture.

Show canonical RHS excerpt
def _kepler_rhs(t, y):
    q1, q2, p1, p2 = y
    r3 = (q1**2 + q2**2) ** 1.5
    return np.array([p1, p2, -q1/r3, -q2/r3])
Parameters
  • No captured parameters; constants are explicit in the RHS excerpt.
Initial condition
y(0) = [1, 0, 0, 1]
Horizon
t ∈ [0, 100]

Canonical RHS excerpt captured from the same registered callable used for the published benchmark. Frozen closure values are summarized below; helper imports and solver settings are intentionally omitted.

Fingerprint

Spread: low

Default noise: clean

Recommendation snapshot

Clean best: Vern9 (precision)

Noisy best: SolvSRK

Coverage

14 solver arms · clean + 5 noise levels

Ranked on survival, precision, and speed

Versions & freeze

Methodology →
Freeze
2026-08-13
libsolvsrk
2.3.0
SciPy
1.14
SUNDIALS
CVODE (bundled backend)

20 seeds/cell default · 14 arms · TRL 4–5 · simulation-lab validated · this page: Kepler two-body orbit (kepler)

Governed SolvTune benchmark freeze; per-arm medians only. RHS definitions and raw trial rows are not published.

Self-reported by Resonix Labs · not independently verified

Results matrix

Pick an objective and a noise level to rank all arms on survival, median SCD, median nfev, and median wall time. Medians across seeds.

Objective

Best overall trade-off of survival, precision, and speed.

Noise level

#SolverSurvivalSCDnfevWallScore
1Vern9external
100%
7.54,3703.82 s0.797
2Vern7external
100%
6.74,5023.84 s0.777
3SolvSRK
100%
6.411,18646 ms0.771
4SciPy RadauSciPy
100%
6.323,263382 ms0.769
5SciPy DOP853SciPy
100%
6.02,66616 ms0.761
6Tsit5external
100%
4.45,8321.32 s0.724
7SciPy RK45SciPy
100%
4.45,25835 ms0.723
8SciPy RK23SciPy
100%
4.033,995286 ms0.713
9SciPy LSODASciPy
100%
3.91,8718 ms0.713
10FBDFexternal
100%
3.52,8224.86 s0.703
11TRBDF2external
100%
3.324,9215.24 s0.696
12CVODE Adamsexternal
100%
2.91,05617 ms0.688
13CVODE BDFexternal
100%
2.72,04524 ms0.683
14SciPy BDFSciPy
100%
2.65,349149 ms0.681

At Clean, best balanced arm is Vern9 · SolvSRK survival 100%, SCD 6.4.

Values are medians across seeds, measured by Resonix Labs on Resonix hardware and not independently verified; nfev and wall are on reference lab hardware (indicative). Under injected noise only SolvSRK and the SciPy arms are run. How we measure accuracy → · Verification status →

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This page shows one published benchmark cell. SolvScout fingerprints your ODE, compares it to the full corpus, and recommends a solver with the same survival / precision / speed ranking you see here — including when a SciPy arm wins.

SolvSRK · 30-day trial

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SolvSRK is the stiffness-adaptive integrator behind the SolvSRK column in these tables. Create an account, activate a machine, and take a 30-day trial — same binary you'd ship after purchase.

Cite this page

Replace the access date. Pin the freeze ID and library versions when comparing against a later export. Cite it as what it is — a self-reported vendor benchmark, not an independently verified result. The note field says so; please keep it.

@misc{resonix_evidence_kepler_2026,
  title        = {Resonix Evidence Portal: Kepler two-body orbit},
  author       = {{Resonix Labs (Canada) Inc.}},
  year         = {2026},
  howpublished = {\url{https://resonix.tech/evidence/problems/kepler}},
  note         = {Self-reported vendor benchmark; internally generated by Resonix Labs and not independently verified. Accessed YYYY-MM-DD. Freeze 2026-08-13; libsolvsrk 2.3.0; SciPy 1.14.}
}

Related

TRL 4–5 · simulation-lab validated · 398 problems · 14 solver arms · clean + 5 noise levels

Freeze: 2026-08-13 · scipy 1.14 · libsolvsrk 2.3.0 · Methodology

Self-reported by Resonix Labs · not independently verified · Verification status