Scope
This blog does not host files. The notes below describe the typical local artifacts you might keep to reproduce or audit results; formats are shown so anyone can implement the evaluator without downloads.
Golden CSVs (concept, CSV-only audits)
- Daily Lahiri sidereal angles per planet; header:
"planet","date","lon_sidereal_lahiri_deg". - Optional samplers: monthly grids for broad eras (e.g., years
0001–9500). - Node identity should hold by construction:
Ketu(t) = wrap360(Rahu(t) + 180).
Portable kernels (manifests; one per body)
- Minimal, planet-specific JSON-style object consumed by the evaluator (see §1.3/§2.10).
- Family rule:
- fixed-n:
n_deg_per_day = 360.0 / P_sid - free-n : store the learned
n_deg_per_day
- fixed-n:
- Example (keys may be a subset; angles in degrees, omegas in rad/day):
{
"planet": "...",
"family": "fixed-n|free-n",
"t0": "YYYY-MM-DD",
"P_sid": <days or null>,
"n_deg_per_day": <float>,
"omegas": { "w1": <float>, "w2": <float>, "w3": <float>, "wS": <float>, "nE": <float> },
"beta": {
"a0_deg": <float>,
"b1_deg_per_day": <float>, // free-n only; equals n_deg_per_day
"c": [ ... ], // sin coeffs aligned to active omegas
"d": [ ... ] // cos coeffs aligned to active omegas
},
"notes": "midpoint anchor; parsimony gate; one-wrap display"
}
- Nodes: you may store only Rahu and compute Ketu at runtime via
L_ketu = wrap360(L_rahu + 180).
Reproduction (deterministic by design)
- Evaluator one-liner (both families):
L_hat_deg(D) = wrap360( a0 + n_deg_per_day*t + sum_k[ c_k*sin(omega_k*t) + d_k*cos(omega_k*t) ] )witht = days_since(D, t0). - Keep the same daily timestamp and time convention as used during calibration (§2.2).
Integrity tips (for your local copies)
- Record
train_range,test_range, sampling mode,t0, and selected carriers alongside each manifest. - If you share CSVs elsewhere, include a SHA-256 for each file.
- Maintain exactly one wrap for displayed angles:
wrap360(y)at the end; unwrapping is only for fitting and event timing.
Navigation
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