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Figure 9: baseline vs final-model summary pair (adds final 17-case summary plot)
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"""Build the final-model summary figure (idt comparison + mechanism size)
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from the 17-case validation results (job 6425, model ch3ocho_balanced2v)."""
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import numpy as np
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import matplotlib
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matplotlib.use('Agg')
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import matplotlib.pyplot as plt
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# label, det_idt(s), sl_idt(s), err%, avg_species (slurm_final2_6425.log, B table)
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RESULTS = [
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('T750_P20', 8.3133e-2, 8.2993e-2, 0.2, 35),
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('T800_P5', 1.2080e-1, 1.1989e-1, 0.8, 30),
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('T800_P20', 2.5512e-2, 2.5406e-2, 0.4, 33),
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('T850_P10', 2.5596e-2, 2.5387e-2, 0.8, 31),
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('T900_P5', 3.3776e-2, 3.3695e-2, 0.2, 30),
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('T900_P10', 1.3703e-2, 1.3602e-2, 0.7, 31),
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('T900_P15', 8.1433e-3, 8.0862e-3, 0.7, 29),
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('T950_P10', 7.1282e-3, 7.0819e-3, 0.6, 29),
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('T1000_P1', 4.1210e-2, 4.3051e-2, 4.5, 23),
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('T1050? T1100_P5', 1.8704e-3, 1.9042e-3, 1.8, 21),
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('T1100_P1_rich', 7.9617e-3, 8.4722e-3, 6.4, 21),
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('T1100_P10_rich', 8.2455e-4, 8.2767e-4, 0.4, 24),
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('T1200_P1', 2.6577e-3, 2.8897e-3, 8.7, 21),
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('T1200_P10', 2.8001e-4, 2.7926e-4, 0.3, 26),
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('T1300_P2', 4.7965e-4, 4.9938e-4, 4.1, 19),
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('T1400_P5_lean', 9.3681e-5, 9.6363e-5, 2.9, 19),
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('T1500_P1', 2.2565e-4, 2.4343e-4, 7.9, 19),
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]
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RESULTS[9] = ('T1100_P5', 1.8704e-3, 1.9042e-3, 1.8, 21)
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labels = [r[0] for r in RESULTS]
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det = np.array([r[1] for r in RESULTS]) * 1000
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sl = np.array([r[2] for r in RESULTS]) * 1000
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err = np.array([r[3] for r in RESULTS])
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nsp = np.array([r[4] for r in RESULTS])
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x = np.arange(len(labels))
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fig, axs = plt.subplots(1, 2, figsize=(15, 5.5))
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fig.suptitle('ThInK 1.0 / CH$_3$OCHO — Final model (v2.1.0): 17/17 cases pass, mean err 2.4%',
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fontsize=12, fontweight='bold')
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w = 0.38
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axs[0].bar(x - w/2, det, w, label='Detailed', color='0.25')
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axs[0].bar(x + w/2, sl, w, label='SL-GPS', color='tab:red', alpha=0.85)
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for i, e in enumerate(err):
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axs[0].text(i, max(det[i], sl[i]) * 1.25, f'{e:.1f}%', ha='center', fontsize=7)
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axs[0].set_yscale('log')
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axs[0].set_ylabel('Ignition delay (ms)')
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axs[0].set_xticks(x)
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axs[0].set_xticklabels(labels, rotation=60, ha='right', fontsize=8)
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axs[0].legend()
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axs[0].grid(True, axis='y', alpha=0.3)
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axs[0].set_title('Ignition delay: detailed vs SL-GPS (label = error %)')
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axs[1].bar(x, nsp, color='tab:blue', alpha=0.85)
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axs[1].axhline(160, color='k', ls='--', lw=1, label='Detailed (160 species)')
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axs[1].set_ylabel('Mean active species')
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axs[1].set_xticks(x)
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axs[1].set_xticklabels(labels, rotation=60, ha='right', fontsize=8)
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axs[1].legend()
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axs[1].grid(True, axis='y', alpha=0.3)
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axs[1].set_title(f'Mechanism size (mean {nsp.mean():.0f}/160 = {100*(1-nsp.mean()/160):.0f}% reduction)')
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plt.tight_layout()
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plt.savefig('results/ch3ocho_final/CH3OCHO_summary.png', dpi=120, bbox_inches='tight')
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print('saved results/ch3ocho_final/CH3OCHO_summary.png')
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‎validation/ThinkMechanism/report.tex‎

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\begin{figure}[H]
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\centering
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\includegraphics[width=0.95\textwidth]{results/ch3ocho/CH3OCHO_summary.png}
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\caption{CH$_3$OCHO validation summary. Left: ignition delay comparison (detailed vs.\ SL-GPS). Right: average mechanism size.}
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\begin{subfigure}[t]{\textwidth}
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\includegraphics[width=\textwidth]{results/ch3ocho/CH3OCHO_summary.png}
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\caption{Baseline model (before fixes): 7/8 cases, T900\_P10 outlier at 165\%.}
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\end{subfigure}\\[0.6em]
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\begin{subfigure}[t]{\textwidth}
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\includegraphics[width=\textwidth]{results/ch3ocho_final/CH3OCHO_summary.png}
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\caption{Final model (v2.1.0, Revision 2): 17/17 cases, mean error 2.4\%, 84\% mean reduction.}
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\end{subfigure}
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\caption{CH$_3$OCHO validation summary, baseline vs final model. Left panels: ignition delay comparison (detailed vs.\ SL-GPS). Right panels: average mechanism size.}
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\label{fig:ch3ocho_summary}
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\end{figure}
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