← Session 9 — Phase 4 synthesis assault + paper draft cleanup
thinking (403 chars)
E-024 done. Headline: residual spread across θ is 1.6–2.2%, mass±0.1 spread 0.15–2.3% — θ-INDEPENDENCE CONFIRMED (statistically). z₁·a ranges [3.14, 4.50] — the phase shift (θ=0 gives z₁·a ≈ π = 3.14 ✓ skeleton; θ=π gives 4.50 ✓) — lattice phase responds to θ exactly as the skeleton predicts, but the STATISTICS don't move.
Let me read the JSON for details (checks, per-θ values, valley masses per θ).
E-024 finished — residual spread across θ is only 1.6–2.2%. Let me get the full details.
tool: Bash
input
{
"command": "cd /d/Python/Quantum && ./.venv/Scripts/python.exe -c \"\nimport json\nd = json.load(open('research/numerics/data/E-024-theta-sweep.json'))\nprint('checks:', d['checks'])\nkv = d['key_values']\nfor a in ('4','8','12'):\n print(f'--- a={a} ---')\n for k in sorted(kv):\n if k.startswith(f'a{a}_'):\n v = kv[k]\n print(f\\\" th={v['theta_over_pi']:.3f}pi: n={v['n_zeros']}, z1a={v['z1_times_a']:.3f}, tot={v['mass_total']:.1f}, m01={v['mass_pm0.1']:.1f}, resid={v['residual']:.1f}, vmean={v['valley_mass_mean']:.3f}, D_eff={v['Delta_eff']:.3f}\\\")\n\"",
"description": "Dump E-024 per-theta metrics"
}
raw content_json (database row)
[{"type":"thinking","thinking":"E-024 done. Headline: residual spread across θ is 1.6–2.2%, mass±0.1 spread 0.15–2.3% — θ-INDEPENDENCE CONFIRMED (statistically). z₁·a ranges [3.14, 4.50] — the phase shift (θ=0 gives z₁·a ≈ π = 3.14 ✓ skeleton; θ=π gives 4.50 ✓) — lattice phase responds to θ exactly as the skeleton predicts, but the STATISTICS don't move.\n\nLet me read the JSON for details (checks, per-θ values, valley masses per θ).","signature":""},{"type":"text","text":"E-024 finished — residual spread across θ is only 1.6–2.2%. Let me get the full details."},{"type":"tool_use","id":"Bash_157","name":"Bash","input":{"command":"cd /d/Python/Quantum && ./.venv/Scripts/python.exe -c \"\nimport json\nd = json.load(open('research/numerics/data/E-024-theta-sweep.json'))\nprint('checks:', d['checks'])\nkv = d['key_values']\nfor a in ('4','8','12'):\n print(f'--- a={a} ---')\n for k in sorted(kv):\n if k.startswith(f'a{a}_'):\n v = kv[k]\n print(f\\\" th={v['theta_over_pi']:.3f}pi: n={v['n_zeros']}, z1a={v['z1_times_a']:.3f}, tot={v['mass_total']:.1f}, m01={v['mass_pm0.1']:.1f}, resid={v['residual']:.1f}, vmean={v['valley_mass_mean']:.3f}, D_eff={v['Delta_eff']:.3f}\\\")\n\"","description":"Dump E-024 per-theta metrics"},"extra_content":null}]