{
  "task": "ph-sim-toy",
  "schema_version": 1,
  "synthetic": true,
  "label": "Synthetic TESS-like light curve generated from a trapezoid model. Not an observation and not a detection.",
  "data": {
    "path": "research/tess-timing/data/transit-fit-run/synthetic_transit.csv",
    "sha256": "a524ef7f6dafddd840ff7aa028972f50157568c0e445c369aaca28b695b7f177",
    "cadence_seconds": 120.0,
    "cadence_count": 19441,
    "baseline_days": 27.0,
    "truth": {
      "t0_btjd": 3000.6,
      "period_days": 3.5,
      "depth": 0.012,
      "duration_days": 0.16,
      "baseline_offset": 0.0002,
      "ingress_fraction": 0.2,
      "noise_sigma": 0.0002,
      "seed": 20261022
    }
  },
  "search": {
    "period": 3.5040000000000022,
    "duration": 0.24,
    "depth_estimate": 0.0066270806256643056,
    "score": 1187.623746977673,
    "cadences_in_box": 1383.0,
    "t0_guess": 3014.65972567687,
    "t0_reference": 3014.659722222222
  },
  "fit": {
    "task": "ph-sim-toy",
    "schema_version": 1,
    "synthetic": true,
    "label": "synthetic",
    "model": "trapezoid",
    "parameter_names": [
      "t0",
      "period",
      "depth",
      "duration",
      "baseline_offset"
    ],
    "parameters": {
      "t0": 3014.6000106369606,
      "period": 3.499995078563073,
      "depth": 0.011999668154845638,
      "duration": 0.1599927664360726,
      "baseline_offset": 0.0001993298358526808
    },
    "uncertainties": {
      "t0": 2.0534422346858404e-05,
      "period": 2.498831971172049e-06,
      "depth": 7.382086656784893e-06,
      "duration": 4.5534060717643954e-05,
      "baseline_offset": 1.466407716956068e-06
    },
    "covariance": {
      "parameter_names": [
        "t0",
        "period",
        "depth",
        "duration",
        "baseline_offset"
      ],
      "matrix": [
        [
          4.2166250111915783e-10,
          1.0939760680076813e-11,
          -5.289574767561337e-14,
          1.9903121409003933e-13,
          -1.6469564115616076e-15
        ],
        [
          1.0939760680076713e-11,
          6.244161220151589e-12,
          6.9844333746028606e-15,
          -2.628041171135548e-14,
          2.17466579854548e-16
        ],
        [
          -5.2895747675613374e-14,
          6.984433374602853e-15,
          5.4495203408281554e-11,
          -6.902703509797974e-11,
          2.1136650544383246e-12
        ],
        [
          1.990312140900395e-13,
          -2.628041171135548e-14,
          -6.90270350979798e-11,
          2.073350685438086e-09,
          3.4095149901633593e-12
        ],
        [
          -1.6469564115615915e-15,
          2.1746657985454523e-16,
          2.113665054438317e-12,
          3.409514990163539e-12,
          2.1503515923483076e-12
        ]
      ]
    },
    "fixed_parameters": {
      "ingress_fraction": 0.2
    },
    "periodogram": {
      "period_guess": 3.5040000000000022,
      "duration_guess": 0.24,
      "depth_guess": 0.0066270806256643056
    },
    "rms_ppm": 199.595218876882,
    "chi_square": 19362.386135961067,
    "degrees_of_freedom": 19436,
    "chi_square_per_dof": 0.9962124992776841,
    "cadence_count": 19441,
    "in_transit_cadences": 920,
    "convergence": {
      "converged": true,
      "status": 3,
      "message": "`xtol` termination condition is satisfied."
    },
    "software": {
      "python": "3.12.1",
      "numpy": "1.26.4",
      "scipy": "1.15.3",
      "tess_timing": "0.1.0"
    },
    "limits": [
      "The model is a trapezoid, not a physical transit.",
      "Every value is a fit to synthetic data.",
      "The result is not a planet detection."
    ]
  },
  "figure": "docs/figures/transit-fit.svg",
  "software": {
    "python": "3.12.1",
    "numpy": "1.26.4",
    "scipy": "1.15.3",
    "tess_timing": "0.1.0"
  },
  "limits": [
    "The model is a trapezoid, not a physical transit model.",
    "The light curve is synthetic and was generated by this script.",
    "The fit result is not a planet detection.",
    "Period, depth, duration, and timing are not measurements of a real object."
  ]
}