Reconstruct the complete Anisotropic Gaussian Rosenbluth Coulomb collision poten...
https://detect.halowerk.com/v1/F-TD2000-GEO-INDUSTRY-B023/anisotropic-gaussian-rosenbluth-coulomb-collision-drift-diffusionOverview
Reconstruct the complete Anisotropic Gaussian Rosenbluth Coulomb collision potentials and drift-diffusion tensors artifact and compare an explicit claim.
Protocol
x402 (POST)
Price
$0.0030
Payment Asset
USD Coin
Payment Network
eip155:8453
Category
uncategorized
Provider
detect
Source
bazaar
Indexed
2026-11-01 15:06:16
Health
Status
unknown
Latency (p50)
—
Uptime (30d)
—
Reliability Score
—
Last Checked
Never
Last Healthy
Never
Consecutive Failures
0
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Facilitator
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Input Schema
{
"body": {
"artifact": {
"rosenbluth": {
"claim": null,
"data": {
"background_drift": [
0.1,
-0.2,
0.1
],
"collision_prefactor": 0.5,
"number_density": 1,
"test_to_background_mass_ratio": 1.01,
"velocity_covariance": [
[
0.7,
0.1,
0
],
[
0.1,
1,
0
],
[
0,
0,
0.5
]
],
"velocity_queries": [
[
0.3,
0.1,
-0.2
]
]
}
}
}
},
"bodyType": "json",
"method": "POST",
"type": "http"
}
Output Schema
{
"example": {
"billable": true,
"findings": [
{
"confidence": 1,
"evidence": [
{
"page_indices": [],
"page_url": null,
"pattern": "anisotropic-gaussian-rosenbluth-coulomb-collision-drift-diffusion_scoped_evidence",
"type": "artifact"
}
],
"limits": [
"Caller-supplied bounded technical model only; every numeric result rounded to six decimal places before exact claim comparison. No external fetch, safety, legal, or medical decision."
],
"module": "anisotropic-gaussian-rosenbluth-coulomb-collision-drift-diffusion",
"state": "observed",
"value": {
"claim_matches": false,
"rosenbluth": {
"covariance_eigenvalues": [
0.5,
0.669722,
1.030278
],
"kinetic_convention": "Gaussian-background Coulomb small-angle Rosenbluth model in caller-consistent velocity units. H=integral f(w)/abs(v-w), G=integral f(w)*abs(v-w); drift=Gamma*(1+mass_ratio)*grad H, diffusion=Gamma*Hessian G in Fokker-Planck -div(Af)+0.5*partial_i partial_j(Dij f). No collective screening model or actual plasma inference",
"queries": [
{
"G_Hessian": [
[
0.607022,
-0.022131,
0.010683
],
[
-0.022131,
0.559326,
0.014118
],
[
0.010683,
0.014118,
0.63054
]
],
"H_Hessian": [
[
-0.400831,
0.04025,
-0.023231
],
[
0.04025,
-0.314922,
-0.028206
],
[
-0.023231,
-0.028206,
-0.446513
]
],
"H_gradient": [
-0.074327,
-0.09407,
0.148824
],
"Laplace_G_identity_residual": 0,
"Laplace_H_Poisson_residual": 0,
"Rosenbluth_G": 1.427681,
"Rosenbluth_H": 0.898444,
"background_velocity_density": 0.09249,
"diffusion_eigenvalues": [
0.273571,
0.307296,
0.317578
],
"friction_drift": [
-0.074698,
-0.09454,
0.149568
],
"velocity": [
0.3,
0.1,
-0.2
],
"velocity_diffusion_tensor": [
[
0.303511,
-0.011066,
0.005341
],
[
-0.011066,
0.279663,
0.007059
],
[
0.005341,
0.007059,
0.31527
]
]
}
]
}
},
"warnings": []
}
],
"known_count": 1,
"scope": {
"contact_values_returned": false,
"network": false,
"supplied_artifact_only": true
},
"warnings": []
},
"type": "json"
}