{
  "visual_id": "E58-GNSS-clocks",
  "title": "Actual satellite clock scores and unresolved noise correlations",
  "classification": "scoped_public_input_calculation",
  "run_ids": [
    "20261002T062354709266Z-W23-GNSS-clocks"
  ],
  "claim_ids": [
    "C07",
    "C14"
  ],
  "input_files": [
    {
      "path": "runs/20261002T062354709266Z-W23-GNSS-clocks/scan.json",
      "sha256": "153ecfa66b16644de8aff1650c8c5c46bd0766a371afa438a4a24daab691210c"
    },
    {
      "path": "runs/20261002T062354709266Z-W23-GNSS-clocks/noise-diagnostics.json",
      "sha256": "1a1d555c0474238aadc27f5563a12af462035abc18487b6f5dc1abfc84d879a9"
    },
    {
      "path": "runs/20261002T062354709266Z-W23-GNSS-clocks/results.json",
      "sha256": "a3e352e0a551ff37f788b0df260f34997727d76bdf6f107b2711991460ea8e80"
    }
  ],
  "configurations": {
    "W23-GNSS-clocks": {
      "satellites": 8,
      "training_days": [
        "2024-01-28",
        "2024-01-29"
      ],
      "heldout_day": "2024-01-30",
      "cadence_seconds": 30,
      "speed_m_s": 300000,
      "widths_seconds": [
        60,
        300
      ],
      "centers_seconds": [
        1800,
        5400,
        9000,
        12600,
        16200,
        19800,
        23400,
        27000,
        30600,
        34200,
        37800,
        41400,
        45000,
        48600,
        52200,
        55800,
        59400,
        63000,
        66600,
        70200,
        73800,
        77400,
        81000,
        84600
      ],
      "geometry_relative_gate": 0.01,
      "clock_product_closure_seconds": 1e-12,
      "injection_conditional_SNR": 10,
      "bootstrap_replicates": 200,
      "bootstrap_block_samples": [
        20,
        40
      ],
      "seed": 230102,
      "whole_job_timeout_seconds": 600,
      "maximum_RSS_bytes": 3221225472,
      "threads": 1,
      "scope": "Processed product conditional phenomenological transient controls; no upstream transfer response or physical exclusion"
    }
  },
  "assumptions": {
    "W23-GNSS-clocks": [
      "Only archived ESA final analysis clocks and SP3 geometry; no receiver-level likelihood or upstream network transfer response.",
      "Select eight lexicographic GPS PRNs using first two days only; third day held out for descriptive/null/injection controls.",
      "Remove product reference/common mode with orthonormal contrasts; never difference across daily product boundaries.",
      "Empirical full covariance and VAR1 estimated on training days, affine frequency nuisance profiled after whitening; no covariance jitter.",
      "Specified ITRF-frame clock-bias steps propagated through identical sampled processing; conditional amplitudes in seconds, not physical coupling bounds."
    ]
  },
  "plotted_values": {
    "path": "E58-GNSS-clocks-data.json",
    "sha256": "fdbbf9d801860d976d6f51a559b54e492d583cce9e368e207cbe4f279b108706"
  },
  "caption": "Eight GPS satellites are selected using only the first two days of ESA final products. The third day supplies a fixed144template scan after the same reference, daily difference, covariance and nuisance projections. Templates are prescribed processed-product perturbations in an Earth-fixed frame; the upstream network-adjustment response is not established. Remaining autocorrelation, covariance-parameter uncertainty, block sensitivity and a missing clock-header time-system field prevent calibrated event probabilities or physical exclusions.",
  "alt_text": "Held-out conditional scores span roughly minus1.9 to plus2.6, while a60second residual autocorrelation near0.23 remains on all days.",
  "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": "c50b168c6536bbaa57aab5e423fe640c72af00401a2fb4be37fa95cf97638542",
    "png": "4af6dc9f4ac459b30b8332473b6420048dff4060b6815646313530730c825a82"
  }
}