Recorded data and provenance for the associated calculation.
| timestamp | 20260913T211043Z |
|---|---|
| scope | Coupled radial Dirac core and its responding same-field background. The physical target frequency is omega_D + Lambda/(2 omega_D). The canonical target norm is fixed at one. This is a conditional inverse action, with an ambient background whose physical origin remains open. Scaled variables avoid subtracting large phase frequencies or ambient densities. No static response kernel is inserted into these field equations. |
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{
"timestamp": "20260913T211043Z",
"scope": "Coupled radial Dirac core and its responding same-field background.\n\nThe physical target frequency is omega_D + Lambda/(2 omega_D). The\ncanonical target norm is fixed at one. This is a conditional inverse\naction, with an ambient background whose physical origin remains open.\nScaled variables avoid subtracting large phase frequencies or ambient\ndensities. No static response kernel is inserted into these field equations.\n",
"metrics": {
"frequency_base": 30.0,
"strength": 0.1,
"inverse_background_density": 5.555555555555556e-05,
"detuning_parameter": -0.0033565320693130086,
"selected_frequency": 29.999944057798846,
"relative_frequency_correction": -1.864740038507227e-06,
"norm": 1.000000000046975,
"rms": 1.3038596860621061,
"target_scalar_integral": 0.9999999369107838,
"normal_norm_change_per_copy": -0.9999995720231096,
"lower_target_norm": 3.156809565322944e-08,
"maximum_residual_current": 0.4600893256164179,
"residual": 1.9514043010018867e-08,
"differential_residual": 4.730876257408312e-08,
"boundary": 6.701612923887084e-22,
"nodes": 731,
"outer": 28.0,
"tolerance": 2e-08
},
"parameters": {
"binding_g": 7.875368922476126,
"current_scale": 8.666062501122158e-06,
"normal_phase": 2.0,
"frequency_unit": 1.0
},
"reduced": {
"detuning_parameter": -0.0033560557841051833,
"count": 40
},
"sources": {
"spatial_matrix_core.py": "706c5fd1d02fa6ed1e115651636fe50df0ae1c2a871771b503c9d98a05cfb858",
"screened_core.py": "edff1ca16cad7ebb57056210b62a0973b9bb650e1dca7774fc150a9b61769a0e",
"binding_only.py": "8e5dc2076f3652856c1d0bd65222b5b43116747b86d5fe05178e84c7dd7b2341",
"timelike_radial_model.py": "4dee986222fb618d8bbd19e890e95eaef086d76dc23c4090c32c143138ab7f63",
"localized_radial_galerkin.py": "90da671d22c91761fd55ef161c393bd892302948a90e6bcae7dbf374df2eb89e"
},
"raw_data": {
"path": "spatial-matrix-core-20260913T211043Z.npz",
"sha256": "f50b365b73dd7685fddb6999947abdd5d170f014dfd8e18a52940788dc355eef"
}
}