{
  "visual_id": "E92-fermi-fission-endpoints",
  "title": "Three declared pocket splits cost energy in one dark-sector model",
  "classification": "scoped_public_input_calculation",
  "run_ids": [
    "20261004T021005808326Z-W28-fermi-fission-production"
  ],
  "claim_ids": [
    "C05",
    "C10"
  ],
  "input_files": [
    {
      "path": "runs/20261004T021005808326Z-W28-fermi-fission-production/results.json",
      "sha256": "88ac064a1083c1bf80f8031e30d33aa87cb99aab397055187a0743971ece3a90"
    }
  ],
  "configurations": {
    "W28-fermi-fission-production": {
      "field_scale_GeV": 1.0,
      "Yukawa": 1.0,
      "lambda_value": 0.01,
      "bias_GeV4": 0.0001,
      "degeneracy": 2,
      "ordinary_matter_coupling": 0.0,
      "profile_parent": "20261002T143908306084Z-E17-fermi-profiles",
      "parents": {
        "20261002T143908306084Z-E17-fermi-profiles": "4e07eaf3003c902748e1bc577961d281e9123f922392699bb68fae502628f7e5",
        "20261002T143916605596Z-E17-fermi-profile-synthesis": "86d9f3dd30abdbc073800e48bb9c120c8a8e387d9def85ac7e8ef9609cc173f6",
        "20261002T144238951033Z-W28-fermi-profile-review": "39bb665cb24448efb932fe2ec7c4daf79bcbb51268caf6a491cab8777be16035",
        "20261002T154910351865Z-E17-fermi-angular": "63431f3bd90a03fc99902c34218fa18a23c7b51f6838cf0a4782335e18e5837a",
        "20261002T160056416934Z-W28-fermi-angular-review": "7f9c0951ca1622db51df1a887b31ea5da7d062ac86fc7c5f879d12cb3d4cd15c",
        "20261002T143906146246Z-E17-fermi-profiles": "88a6c0bacd98cda3abca163a6bfa02809971c914b5f9f62ee67a2e7d8f5dfd5e"
      },
      "frozen_inputs": {
        "src/metastable/public_fermi_profiles.py": "039a96ff8e3078d794856c096ce7e1fa59b4020ef70ef00b165095fe84e3bdf6",
        "src/metastable/public_fermi_angular.py": "2f54695c4afcfaac65823e9034b97df26bc9cf5262bf3b7ac4a4ba7e82d3f89b",
        "config/fermi-profile-study.json": "197a3868879bedc61b3ae74ad55d2111bcb414d2c2accad2be1c1b5585f3b1d3",
        "config/fermi-angular-study.json": "00fa08168584c4283c10b46e0598a0e881650147a6d839bb159a4bbad520f62a",
        "reports/fermi-profile-findings.md": "964eb7258fd7f3134f5d7c6688bea2c8a159e71c400174a285e29e1e1dd5645f",
        "reports/fermi-angular-findings.md": "1e36a3d9c4bf018833100a13af09828559555cde87e66079ac82d0285a4f1377",
        "data/raw/W28-Xie-20261002/paper.pdf": "dec483bd7a186fc485b581ed50ccd14ffe0b79fffa45e8c7a533678014ae9eee",
        "data/raw/W28-Xie-20261002/paper.pdf.provenance.json": "e1667b363c3e5b27c97a8553b276ad19c779585d535326d71a23a6ccad0a3744",
        "data/raw/W28-WiseZhang-20261002/paper.pdf": "209eb4bf6a3846a48333a1c5cbc2036b2066a60d47530834896b2268c9ff9be3",
        "data/raw/W28-WiseZhang-20261002/paper.pdf.provenance.json": "de5561cb8419b4fc38cc511f4f438d4e3cd0a09325c931cf434b23dd695cb27f"
      },
      "benchmark_charges": [
        3000,
        10000,
        30000
      ],
      "affine_etas": [
        -0.6931471805599453,
        -0.25,
        0.25,
        0.6931471805599453
      ],
      "radial_reference_orders": [
        12,
        20
      ],
      "physical_rules": [
        [
          512,
          20,
          64
        ],
        [
          1024,
          24,
          128
        ]
      ],
      "charge_relative_gate": 2e-06,
      "virial_relative_gate": 0.0002,
      "profile_refinement_relative_gate": 0.0002,
      "geometry_relative_gate": 1e-07,
      "geometry_charge_relative_gate": 1e-09,
      "geometry_refinement_relative_gate": 1e-07,
      "affine_Hessian_relative_gate": 0.0002,
      "production_total_charge": 30000,
      "production_fractions": [
        0.1,
        0.25,
        0.5
      ],
      "new_daughter_charges": [
        7500,
        15000,
        22500,
        27000
      ],
      "BVP_refinements": [
        [
          2e-06,
          501,
          20
        ],
        [
          2e-08,
          1001,
          20
        ],
        [
          2e-08,
          1001,
          30
        ]
      ],
      "quadrature_orders": [
        12,
        20,
        28
      ],
      "independent_seed_charge": 10000,
      "sign_margin_factor": 10.0,
      "whole_seconds": 600,
      "maximum_RSS_bytes": 3221225472,
      "scope": "Same zero-temperature scalar/TF functional, asymptotically isolated daughter endpoint energies and nonlinear shape controls only. No fission barrier/lifetime/global minimum, ordinary-matter coupling or continuum quantum correction.",
      "anchor_refinement_parent": "20261002T143906146246Z-E17-fermi-profiles",
      "retained_failed_benchmark": "20261003T232139595461Z-W28-fermi-fission-benchmark"
    }
  },
  "assumptions": {
    "W28-fermi-fission-production": [
      "Same zero-temperature scalar/TF functional, asymptotically isolated daughter endpoint energies and nonlinear shape controls only. No fission barrier/lifetime/global minimum, ordinary-matter coupling or continuum quantum correction."
    ]
  },
  "plotted_values": {
    "path": "E92-fermi-fission-endpoints-data.json",
    "sha256": "2d92733375a5664a679c87375bd0164405354980a6af5f3ddbd4b3bd8f3dd549"
  },
  "caption": "The zero-temperature scalar/Thomas\u2013Fermi functional has w=1 GeV, dimensionless Yukawa coupling y=1, lambda=0.01, bias=1e-4 GeV^4 and spin degeneracy two. Ordinary-matter coupling, Coulomb energy and gravity are absent. Lines on the left connect six saved stationary profiles and assert no interpolation bound. On the right, daughter energies are summed at asymptotic separation and the N=30000 parent energy is subtracted. Error bars show summed observed numerical envelopes of 0.00130, 0.00279 and 0.00611 GeV; they are smaller than the plotted marks and are not rigorous bounds or physical uncertainty. Independent raw-profile integration reproduces all three signs. No finite-separation path or barrier is plotted.",
  "alt_text": "These endpoint comparisons do not establish all-partition stability, a global minimum, a formation abundance or a lifetime.",
  "generator": "src/metastable/public_report.py",
  "generator_sha256": "9e263878b7237d781a41d94693004412279b5cfa808ccd6e335b7b07269910d4",
  "generator_dependencies_sha256": {
    "src/metastable/render.py": "ff4837be5102588b6614aeb2b7880b10c0a0c20a155e2eb7b409014a47a3de01",
    "src/metastable/spin_report.py": "dd5c64c5c658938948672a7dc767aa02c34dde012c3fc4aedfc3642f88796847",
    "src/metastable/continuation_report.py": "f9bbce6d0e201a9f55c826d6e9c47ab901e51a71b4a1f962b52eb08a63ba5fe9",
    "src/metastable/refinement_report.py": "4539c0ec814603105ab3a2b5cc82ce291c0151113b5bd3916cdc235aadb9bfb0",
    "src/metastable/atomic_mass_report.py": "46dd1cdb56a5a02cafe001a1f6a7fb201e149461850df41e012f77a580c3694b",
    "src/metastable/closure_report.py": "b34a03a9e0058eed65722df542dbb92691dd138787e2078b43ee9f18e221f75c",
    "src/metastable/october_report.py": "f93e7f89e43165d8d25e2184b9b32e6e21c3e1ffe66020d35944f263aaecb726",
    "src/metastable/october_followup_report.py": "925d905ff3bddf97a7ace2f68a4a28e7dfea2238c4f81d891dda2a9e70c6d4f6",
    "src/metastable/october_dynamics_report.py": "6b8d84c0ce0d78f52d064c68697f0d9c885cdc736e215b54eba46821dbe59a33",
    "src/metastable/october_calibration_report.py": "f714ef7ccfaa26e847c6135054f53528b3ff1d7096e7d113cffeea333e77e3d2",
    "src/metastable/october_interface_report.py": "2fc8826a33c952d7898154f84830748c26842c9a165d14aa7b7fb9721fac00bd",
    "src/metastable/october_checkpoint8_report.py": "f3b54f23510b9bfeffc5ff04e6df54e967228f43ba25a15e12e34f898cdfe0af",
    "src/metastable/october_checkpoint9_report.py": "4bd987aac59964ccb4768a95e0cb6f7d1fdccbeffe9483860da7b431f2224ae4",
    "src/metastable/october_checkpoint10_report.py": "9da673d773b63298e041914447ffd97065c1cf2b8966c90fc4ebcbee25a0ed63",
    "src/metastable/october_checkpoint11_report.py": "5f01064f02f4c76d0059d348a763b285c92c3677e6cb0ba0bbf7faa1a4b98248",
    "src/metastable/october_checkpoint12_report.py": "46022030652e3a1e274dfd27b36dfab25d90a97fde439b1da44d6f1fdc5140b5",
    "src/metastable/october_checkpoint13_report.py": "997c59be3af1b6b7be95fd4314e0f3b98c562629901a639572284045a65980c2",
    "src/metastable/october_checkpoint14_report.py": "d84de7d8516d8a4d8e21b5f9f279476f3035f719c1c8ab03b7ac1e44bf822240",
    "src/metastable/october_checkpoint15_report.py": "1f6e17b9549dc31fbb58ba578c4d8ed8e219b4ad30810df0a9d7d2d00e63efdc",
    "src/metastable/october_checkpoint16_report.py": "74cb8aac45d1d5ce0e6eb6678e9b6cdf98cd46fd6e264a513b612ab763fcd034",
    "src/metastable/october_checkpoint17_report.py": "9daceb74e91f6f8db0f7d89929226d46c464c284d06d0694f525fecf0c736bf6",
    "src/metastable/october_checkpoint18_report.py": "f33f88e316cae93af87cef75d8df41ce82970c8f8bc466dd7a094a92c5f00f8b",
    "src/metastable/october_checkpoint19_report.py": "ce2250507145354b6478cafaaff98c2b8ae2795c3c309f0d903a920365a77090",
    "src/metastable/october_checkpoint20_report.py": "e2ea0a8a374036254008cf6de8f10352dfb2585c4ccb18c1e850c017e6128294",
    "src/metastable/october_checkpoint21_report.py": "596b873676167227b2c92d358fcdbc0614908a5a9daad1da6227b81fce203eec",
    "src/metastable/publication_files.py": "e68bd0ee4e849a72fa828f0cfcf34cb6b1b9f2a8bbdbb3d51085054915039607"
  },
  "command": "python run.py full public-report",
  "output_sha256": {
    "svg": "35fd82df49340ad51ecadb0616939c20db8687d2b7857f45be329e9e1cb75ea7",
    "png": "b001ef13b04a81220657f777c272c97e8159fcd0532ea8e69e647f32ac1a8b89"
  }
}