From c6427f3c6e0749253c9a654d669309ab96790560 Mon Sep 17 00:00:00 2001 From: Antoine Date: Thu, 29 Jan 2026 20:20:01 +0000 Subject: [PATCH] fix: replace deprecated titlefont with title.font for Plotly compat --- tools/generate_optical_report.py | 450 +++++++++++++++++++------------ 1 file changed, 283 insertions(+), 167 deletions(-) diff --git a/tools/generate_optical_report.py b/tools/generate_optical_report.py index d0bffd4f..9dda8f2f 100644 --- a/tools/generate_optical_report.py +++ b/tools/generate_optical_report.py @@ -115,6 +115,18 @@ SUBCASE_ANGLE_MAP = { '90': 90, '20': 20, '40': 40, '60': 60, } +# ── Professional light-theme Plotly layout defaults ── +_PLOTLY_LIGHT_LAYOUT = dict( + paper_bgcolor='#ffffff', + plot_bgcolor='#f8fafc', + font=dict(family="Inter, system-ui, sans-serif", color='#1e293b', size=12), +) + +# Professional blue palette for charts +_BLUE_PALETTE = ['#2563eb', '#3b82f6', '#60a5fa', '#93c5fd', '#1d4ed8', '#1e40af'] +_MODE_COLORS = ['#2563eb', '#dc2626', '#16a34a', '#9333ea', '#ea580c', '#0891b2', '#4f46e5'] +_MODE_DASHES = ['solid', 'dash', 'dot', 'dashdot', 'longdash', 'longdashdot', 'solid'] + # ============================================================================ # Data Extraction Helpers @@ -269,14 +281,14 @@ def aberration_magnitudes(coeffs): # HTML Report Generation # ============================================================================ -def status_badge(value, target, unit='nm'): - """Return pass/fail badge HTML.""" +def _metric_color(value, target): + """Return a CSS color class based on value vs target.""" if value <= target: - return f'✅ {value:.2f} {unit} ≤ {target:.1f}' + return 'color: #16a34a; font-weight: 700;' # green ratio = value / target if ratio < 1.5: - return f'⚠️ {value:.2f} {unit} ({ratio:.1f}× target)' - return f'❌ {value:.2f} {unit} ({ratio:.1f}× target)' + return 'color: #d97706; font-weight: 700;' # amber + return 'color: #dc2626; font-weight: 700;' # red def make_surface_plot(X, Y, W_res, mask, inner_radius=None, title="", amp=0.5, downsample=PLOT_DOWNSAMPLE): @@ -330,7 +342,8 @@ def make_surface_plot(X, Y, W_res, mask, inner_radius=None, title="", amp=0.5, d lighting=dict(ambient=0.4, diffuse=0.8, specular=0.3, roughness=0.5, fresnel=0.2), lightposition=dict(x=100, y=200, z=300), showscale=True, - colorbar=dict(title=dict(text="nm", side="right"), thickness=12, len=0.5, tickformat=".1f"), + colorbar=dict(title=dict(text="nm", side="right", font=dict(color='#1e293b')), thickness=12, len=0.5, tickformat=".1f", + tickfont=dict(color='#1e293b')), hovertemplate="X: %{x:.1f}
Y: %{y:.1f}
Residual: %{z:.2f} nm" )) @@ -341,7 +354,7 @@ def make_surface_plot(X, Y, W_res, mask, inner_radius=None, title="", amp=0.5, d x=cx + inner_radius*np.cos(theta_c), y=cy + inner_radius*np.sin(theta_c), z=np.zeros(80), - mode='lines', line=dict(color='white', width=2), + mode='lines', line=dict(color='#64748b', width=2), name='Central Hole', showlegend=False, hoverinfo='name' )) except Exception: @@ -355,20 +368,21 @@ def make_surface_plot(X, Y, W_res, mask, inner_radius=None, title="", amp=0.5, d fig.update_layout( scene=dict( camera=dict(eye=dict(x=1.2, y=1.2, z=0.8), up=dict(x=0, y=0, z=1)), - xaxis=dict(title="X (mm)", showgrid=True, gridcolor='rgba(128,128,128,0.3)', - showbackground=True, backgroundcolor='rgba(240,240,240,0.9)'), - yaxis=dict(title="Y (mm)", showgrid=True, gridcolor='rgba(128,128,128,0.3)', - showbackground=True, backgroundcolor='rgba(240,240,240,0.9)'), - zaxis=dict(title="Residual (nm)", range=[-max_amp*3.0, max_amp*3.0], - showgrid=True, gridcolor='rgba(128,128,128,0.3)', - showbackground=True, backgroundcolor='rgba(230,230,250,0.9)'), + xaxis=dict(title=dict(text="X (mm)", font=dict(color='#1e293b')), showgrid=True, gridcolor='#e2e8f0', + showbackground=True, backgroundcolor='#f1f5f9', + tickfont=dict(color='#475569')), + yaxis=dict(title=dict(text="Y (mm)", font=dict(color='#1e293b')), showgrid=True, gridcolor='#e2e8f0', + showbackground=True, backgroundcolor='#f1f5f9', + tickfont=dict(color='#475569')), + zaxis=dict(title=dict(text="Residual (nm)", font=dict(color='#1e293b')), range=[-max_amp*3.0, max_amp*3.0], + showgrid=True, gridcolor='#e2e8f0', + showbackground=True, backgroundcolor='#eff6ff', + tickfont=dict(color='#475569')), aspectmode='manual', aspectratio=dict(x=1, y=1, z=0.4), ), margin=dict(t=30, b=10, l=10, r=10), - paper_bgcolor='rgba(0,0,0,0)', - plot_bgcolor='rgba(0,0,0,0)', - font=dict(color='#e0e0e0'), + **_PLOTLY_LIGHT_LAYOUT, height=500, width=700, ) @@ -378,22 +392,27 @@ def make_surface_plot(X, Y, W_res, mask, inner_radius=None, title="", amp=0.5, d def make_bar_chart(coeffs, title="Zernike Coefficients", max_modes=30): """Create horizontal bar chart of Zernike coefficient magnitudes.""" n = min(len(coeffs), max_modes) - labels = [zernike_label(j) for j in range(1, n+1)] + labels = [str(zernike_label(j))[:40] for j in range(1, n+1)] vals = np.abs(coeffs[:n]) + text_vals = [f"{v:.3f}" for v in vals] fig = go.Figure(go.Bar( x=vals, y=labels, orientation='h', - marker_color='#6366f1', + marker_color=_BLUE_PALETTE[0], + text=text_vals, + textposition='outside', + textfont=dict(size=9, color='#475569'), hovertemplate="%{y}
|c| = %{x:.3f} nm", )) fig.update_layout( height=max(400, n*22), - margin=dict(t=30, b=10, l=200, r=20), - paper_bgcolor='rgba(0,0,0,0)', - plot_bgcolor='rgba(17,24,39,0.8)', - font=dict(color='#e0e0e0', size=10), - xaxis=dict(title="|Coefficient| (nm)", gridcolor='rgba(128,128,128,0.2)'), - yaxis=dict(autorange='reversed'), + margin=dict(t=30, b=10, l=220, r=60), + **_PLOTLY_LIGHT_LAYOUT, + xaxis=dict(title=dict(text="|Coefficient| (nm)", font=dict(color='#1e293b')), + gridcolor='#e2e8f0', zeroline=True, + zerolinecolor='#cbd5e1', + tickfont=dict(color='#475569')), + yaxis=dict(autorange='reversed', tickfont=dict(size=10, color='#1e293b')), ) return fig.to_html(include_plotlyjs=False, full_html=False, div_id=f"bar_{title.replace(' ','_')}") @@ -402,8 +421,6 @@ def make_trajectory_plot(angles, coefficients_relative, mode_groups, sensitivity """Create trajectory visualization: Zernike modes vs elevation angle.""" fig = go.Figure() - # Plot each mode group - colors = ['#f59e0b', '#ef4444', '#10b981', '#6366f1', '#ec4899', '#14b8a6', '#f97316'] color_idx = 0 for group_name, noll_indices in mode_groups.items(): @@ -411,30 +428,77 @@ def make_trajectory_plot(angles, coefficients_relative, mode_groups, sensitivity if not indices: continue + color = _MODE_COLORS[color_idx % len(_MODE_COLORS)] + dash = _MODE_DASHES[color_idx % len(_MODE_DASHES)] + # RSS of modes in this group at each angle rss = np.sqrt(np.sum(coefficients_relative[:, indices]**2, axis=1)) - color = colors[color_idx % len(colors)] + display_name = MODE_NAMES.get(group_name, group_name) + # Group RSS trace (thick) fig.add_trace(go.Scatter( x=angles, y=rss, mode='lines+markers', - name=MODE_NAMES.get(group_name, group_name), - line=dict(color=color, width=2), - marker=dict(size=8), - hovertemplate=f"{group_name}
%{{x}}°: %{{y:.2f}} nm" + name=f"{display_name} (RSS)", + line=dict(color=color, width=3, dash=dash), + marker=dict(size=10, symbol='circle'), + hovertemplate=f"{display_name} RSS
%{{x:.1f}}°: %{{y:.3f}} nm", + legendgroup=group_name, )) + + # Individual mode traces (thin, same color, lighter) + for idx_i, noll_idx in enumerate(noll_indices): + col_idx = noll_idx - 5 + if col_idx < 0 or col_idx >= coefficients_relative.shape[1]: + continue + mode_vals = np.abs(coefficients_relative[:, col_idx]) + mode_label = f"J{noll_idx}" + fig.add_trace(go.Scatter( + x=angles, y=mode_vals, + mode='lines+markers', + name=f" {mode_label}", + line=dict(color=color, width=1, dash='dot'), + marker=dict(size=5, symbol='diamond'), + opacity=0.5, + hovertemplate=f"{mode_label}
%{{x:.1f}}°: %{{y:.3f}} nm", + legendgroup=group_name, + showlegend=True, + )) + color_idx += 1 + # Check if log scale would help (values span >2 orders of magnitude) + all_y = [] + for trace in fig.data: + all_y.extend([v for v in trace.y if v > 0]) + use_log = False + if all_y: + y_min, y_max = min(all_y), max(all_y) + if y_max > 0 and y_min > 0 and (y_max / y_min) > 100: + use_log = True + + yaxis_cfg = dict( + title=dict(text="RMS (nm)", font=dict(color='#1e293b')), + gridcolor='#e2e8f0', + zeroline=True, zerolinecolor='#cbd5e1', + tickfont=dict(color='#475569'), + ) + if use_log: + yaxis_cfg['type'] = 'log' + yaxis_cfg['title'] = dict(text="RMS (nm) — log scale", font=dict(color='#1e293b')) + fig.update_layout( - height=400, - margin=dict(t=30, b=40, l=60, r=20), - paper_bgcolor='rgba(0,0,0,0)', - plot_bgcolor='rgba(17,24,39,0.8)', - font=dict(color='#e0e0e0'), - xaxis=dict(title="Elevation Angle (°)", gridcolor='rgba(128,128,128,0.2)', - tickvals=angles, dtick=10), - yaxis=dict(title="RMS (nm)", gridcolor='rgba(128,128,128,0.2)'), - legend=dict(x=0.02, y=0.98, bgcolor='rgba(17,24,39,0.7)'), + height=450, + margin=dict(t=30, b=50, l=70, r=20), + **_PLOTLY_LIGHT_LAYOUT, + xaxis=dict(title=dict(text="Elevation Angle (°)", font=dict(color='#1e293b')), + gridcolor='#e2e8f0', + tickvals=list(angles), dtick=10, + tickfont=dict(color='#475569')), + yaxis=yaxis_cfg, + legend=dict(x=0.01, y=0.99, bgcolor='rgba(255,255,255,0.9)', + bordercolor='#e2e8f0', borderwidth=1, + font=dict(size=10, color='#1e293b')), ) return fig.to_html(include_plotlyjs=False, full_html=False, div_id="trajectory_plot") @@ -444,29 +508,36 @@ def make_sensitivity_bar(sensitivity_dict): modes = list(sensitivity_dict.keys()) axial = [sensitivity_dict[m]['axial'] for m in modes] lateral = [sensitivity_dict[m]['lateral'] for m in modes] - labels = [MODE_NAMES.get(m, m) for m in modes] + labels = [str(MODE_NAMES.get(m, m)) for m in modes] fig = go.Figure() fig.add_trace(go.Bar( y=labels, x=axial, orientation='h', - name='Axial (sin θ)', marker_color='#f59e0b', + name='Axial (sin \u03b8)', marker_color='#2563eb', + text=[f"{v:.3f}" for v in axial], textposition='outside', + textfont=dict(size=9, color='#475569'), hovertemplate="%{y}
Axial: %{x:.3f} nm/unit" )) fig.add_trace(go.Bar( y=labels, x=lateral, orientation='h', - name='Lateral (cos θ)', marker_color='#6366f1', + name='Lateral (cos \u03b8)', marker_color='#7c3aed', + text=[f"{v:.3f}" for v in lateral], textposition='outside', + textfont=dict(size=9, color='#475569'), hovertemplate="%{y}
Lateral: %{x:.3f} nm/unit" )) fig.update_layout( barmode='group', - height=max(300, len(modes)*40), - margin=dict(t=30, b=40, l=200, r=20), - paper_bgcolor='rgba(0,0,0,0)', - plot_bgcolor='rgba(17,24,39,0.8)', - font=dict(color='#e0e0e0', size=11), - xaxis=dict(title="Sensitivity (nm per load fraction)", gridcolor='rgba(128,128,128,0.2)'), - yaxis=dict(autorange='reversed'), - legend=dict(x=0.6, y=0.98, bgcolor='rgba(17,24,39,0.7)'), + height=max(300, len(modes)*45), + margin=dict(t=30, b=40, l=180, r=60), + **_PLOTLY_LIGHT_LAYOUT, + xaxis=dict(title=dict(text="Sensitivity (nm per load fraction)", font=dict(color='#1e293b')), + gridcolor='#e2e8f0', + zeroline=True, zerolinecolor='#cbd5e1', + tickfont=dict(color='#475569')), + yaxis=dict(autorange='reversed', tickfont=dict(size=11, color='#1e293b')), + legend=dict(x=0.55, y=0.99, bgcolor='rgba(255,255,255,0.9)', + bordercolor='#e2e8f0', borderwidth=1, + font=dict(color='#1e293b')), ) return fig.to_html(include_plotlyjs=False, full_html=False, div_id="sensitivity_bar") @@ -475,22 +546,25 @@ def make_per_angle_rms_plot(angle_rms_data, ref_angle=20): """Create bar chart of per-angle RMS relative to reference.""" angles = sorted(angle_rms_data.keys()) rms_vals = [angle_rms_data[a] for a in angles] - labels = [f"{a}° vs {ref_angle}°" for a in angles] + labels = [f"{a}\u00b0 vs {ref_angle}\u00b0" for a in angles] fig = go.Figure(go.Bar( x=labels, y=rms_vals, - marker_color=['#10b981' if v < 10 else '#f59e0b' if v < 20 else '#ef4444' for v in rms_vals], + marker_color=_BLUE_PALETTE[0], text=[f"{v:.2f} nm" for v in rms_vals], textposition='outside', + textfont=dict(size=11, color='#1e293b'), hovertemplate="%{x}: %{y:.2f} nm" )) fig.update_layout( height=350, margin=dict(t=30, b=40, l=60, r=20), - paper_bgcolor='rgba(0,0,0,0)', - plot_bgcolor='rgba(17,24,39,0.8)', - font=dict(color='#e0e0e0'), - yaxis=dict(title="Filtered RMS WFE (nm)", gridcolor='rgba(128,128,128,0.2)'), + **_PLOTLY_LIGHT_LAYOUT, + yaxis=dict(title=dict(text="Filtered RMS WFE (nm)", font=dict(color='#1e293b')), + gridcolor='#e2e8f0', + zeroline=True, zerolinecolor='#cbd5e1', + tickfont=dict(color='#475569')), + xaxis=dict(tickfont=dict(color='#1e293b', size=12)), ) return fig.to_html(include_plotlyjs=False, full_html=False, div_id="per_angle_rms") @@ -721,11 +795,11 @@ def generate_report( params = study_params['parameters'] rows = "" for k, v in sorted(params.items()): - unit = "°" if "angle" in k else "mm" + unit = "\u00b0" if "angle" in k else "mm" rows += f"{k}{v:.4f} {unit}\n" params_html = f"""
-

🔧 Design Parameters (Trial #{study_params.get('trial_id', '?')})

+

7. Design Parameters (Trial #{study_params.get('trial_id', '?')})

{rows}
ParameterValue
@@ -740,7 +814,7 @@ def generate_report( abs_glob = r['rms_abs']['global_rms'] ab = r['aberrations_abs'] angle_detail_rows += f""" - {ang}° + {ang}\u00b0 {abs_glob:.2f}{abs_filt:.2f} {rel_filt:.2f} {ab['astigmatism']:.2f}{ab['coma']:.2f} @@ -773,29 +847,42 @@ def generate_report(
{traj_result['total_filtered_rms_nm']:.2f} nm
-
Linear Fit R²
+
Linear Fit R\u00b2
{traj_result['linear_fit_r2']:.4f}

Dominant aberration mode: {MODE_NAMES.get(traj_result['dominant_mode'], traj_result['dominant_mode'])}

-

Mode ranking: {' → '.join(traj_result['mode_ranking'][:5])}

+

Mode ranking: {' \u2192 '.join(traj_result['mode_ranking'][:5])}

""" # Manufacturing details mfg_html = f""" - + - +
MetricAbsolute 90°Correction (90°−20°)
MetricAbsolute 90\u00b0Correction (90\u00b0\u221220\u00b0)
Defocus (J4){mfg_abs_aberr['defocus']:.2f} nm{mfg_correction['defocus']:.2f} nm
Astigmatism (J5+J6){mfg_abs_aberr['astigmatism']:.2f} nm{mfg_correction['astigmatism']:.2f} nm
Coma (J7+J8){mfg_abs_aberr['coma']:.2f} nm{mfg_correction['coma']:.2f} nm
Trefoil (J9+J10){mfg_abs_aberr['trefoil']:.2f} nm{mfg_correction['trefoil']:.2f} nm
Spherical (J11){mfg_abs_aberr['spherical']:.2f} nm{mfg_correction['spherical']:.2f} nm
J1−J3 Filtered RMS{r90['rms_abs']['rms_j1to3']:.2f} nm{mfg_rms_j1to3:.2f} nm
J1\u2212J3 Filtered RMS{r90['rms_abs']['rms_j1to3']:.2f} nm{mfg_rms_j1to3:.2f} nm
""" + # Executive summary metric styling + style_40 = _metric_color(wfe_40_20, targets['wfe_40_20']) + style_60 = _metric_color(wfe_60_20, targets['wfe_60_20']) + style_mfg = _metric_color(mfg_90, targets['mfg_90']) + + # Section numbering: adjust if trajectory present + sec_surface = 3 + sec_traj = 4 + sec_mfg = 5 if traj_result else 4 + sec_params = sec_mfg + 1 + sec_zernike = sec_params + 1 if (study_params and study_params.get('parameters')) else sec_mfg + 1 + sec_method = sec_zernike + 1 + # Assemble full HTML html = f""" @@ -806,22 +893,23 @@ def generate_report( @@ -981,48 +1092,53 @@ def generate_report(
-

🔭 {title}

+

{title}

Generated {timestamp}  |  OP2: {op2_path.name}
{'
Study: ' + study_name + '
' if study_name else ''}
- -
by Atomaste
-
FEA Optimization Platform
+ + ATOMIZER + +
by Atomaste
+
FEA Optimization Platform
- +
-

📋 Executive Summary

+

1. Executive Summary

-
WFE 40° vs 20° (Tracking)
-
{wfe_40_20:.2f} nm
-
{status_badge(wfe_40_20, targets['wfe_40_20'])}
+
WFE 40\u00b0 vs 20\u00b0 (Tracking)
+
{wfe_40_20:.2f} nm
-
WFE 60° vs 20° (Tracking)
-
{wfe_60_20:.2f} nm
-
{status_badge(wfe_60_20, targets['wfe_60_20'])}
+
WFE 60\u00b0 vs 20\u00b0 (Tracking)
+
{wfe_60_20:.2f} nm
-
MFG 90° (J1−J3 Filtered)
-
{mfg_90:.2f} nm
-
{status_badge(mfg_90, targets['mfg_90'])}
+
MFG 90\u00b0 (J1\u2212J3 Filtered)
+
{mfg_90:.2f} nm
-
Weighted Sum (6·W40 + 5·W60 + 3·MFG)
-
{ws:.1f}
-
Lower is better
+
Weighted Sum (6\u00b7W40 + 5\u00b7W60 + 3\u00b7MFG)
+
{ws:.1f}
- {'

Annular aperture: inner radius = ' + f'{inner_radius:.1f} mm (ø{2*inner_radius:.1f} mm central hole)' + '

' if inner_radius else ''} +
+ Design targets — + WFE 40\u00b0\u221220\u00b0 \u2264 {targets['wfe_40_20']:.1f} nm  |  + WFE 60\u00b0\u221220\u00b0 \u2264 {targets['wfe_60_20']:.1f} nm  |  + MFG 90\u00b0 \u2264 {targets['mfg_90']:.1f} nm  |  + Weighted sum: lower is better. + {'
Annular aperture: inner radius = ' + f'{inner_radius:.1f} mm (\u00f8{2*inner_radius:.1f} mm central hole)' if inner_radius else ''} +
- +
-

📊 Per-Angle RMS Summary

+

2. Per-Angle RMS Summary

{per_angle_plot} @@ -1034,33 +1150,33 @@ def generate_report( {angle_detail_rows}
-

All values in nm. Filtered = J1−J4 removed. Relative = vs 20° reference. Aberrations are absolute.

+

All values in nm. Filtered = J1\u2212J4 removed. Relative = vs 20\u00b0 reference. Aberrations are absolute.

- +
-

🌊 Wavefront Error Surface Maps

-

3D residual surfaces after removing piston, tip, tilt, and defocus (J1−J4). Interactive — drag to rotate.

+

{sec_surface}. Wavefront Error Surface Maps

+

3D residual surfaces after removing piston, tip, tilt, and defocus (J1\u2212J4). Interactive \u2014 drag to rotate.

-

40° vs 20° (Relative)

+

40\u00b0 vs 20\u00b0 (Relative)

{surf_40}
-

60° vs 20° (Relative)

+

60\u00b0 vs 20\u00b0 (Relative)

{surf_60}
-

90° Manufacturing (Absolute)

+

90\u00b0 Manufacturing (Absolute)

{surf_90}
-{'

📈 Zernike Trajectory Analysis

' + +{'

' + str(sec_traj) + '. Zernike Trajectory Analysis

' + '

Mode-specific integrated RMS across the operating elevation range. ' + - 'The linear model cj(θ) = aj·Δsinθ + bj·Δcosθ decomposes gravity into axial and lateral components.

' + + 'The linear model cj(\u03b8) = aj\u00b7\u0394sin\u03b8 + bj\u00b7\u0394cos\u03b8 decomposes gravity into axial and lateral components.

' + traj_metrics_html + '
' + '

Mode RMS vs Elevation Angle

' + traj_plot_html + '
' + @@ -1069,10 +1185,10 @@ def generate_report(
-

🏭 Manufacturing Analysis (90° Orientation)

+

{sec_mfg}. Manufacturing Analysis (90\u00b0 Orientation)

- The mirror is manufactured (polished) at 90° orientation. The "Correction" column shows the - aberrations that must be polished out to achieve the 20° operational figure. + The mirror is manufactured (polished) at 90\u00b0 orientation. The "Correction" column shows the + aberrations that must be polished out to achieve the 20\u00b0 operational figure.

{mfg_html}
@@ -1082,43 +1198,43 @@ def generate_report(
-

🔬 Zernike Coefficient Details

+

{sec_zernike}. Zernike Coefficient Details

- 40° vs 20° — Relative Coefficients + 40\u00b0 vs 20\u00b0 \u2014 Relative Coefficients
{bar_40}
- 60° vs 20° — Relative Coefficients + 60\u00b0 vs 20\u00b0 \u2014 Relative Coefficients
{bar_60}
- 90° — Absolute Coefficients + 90\u00b0 \u2014 Absolute Coefficients
{bar_90}
-
-

📝 Methodology

+
+

{sec_method}. Methodology

- - - + + + - - - - {'' if traj_result else ''} + + + + {'' if traj_result else ''}
Zernike Modes{N_MODES} (Noll convention)
Filtered ModesJ1−J4 (Piston, Tip, Tilt, Defocus)
WFE CalculationWFE = 2 × Surface Error (reflective)
Displacement Unit{DISP_UNIT} → nm ({NM_SCALE:.0e}×)
Filtered ModesJ1\u2212J4 (Piston, Tip, Tilt, Defocus)
WFE CalculationWFE = 2 \u00d7 Surface Error (reflective)
Displacement Unit{DISP_UNIT} \u2192 nm ({NM_SCALE:.0e}\u00d7)
Aperture{'Annular (inner R = ' + f'{inner_radius:.1f} mm)' if inner_radius else 'Full disk'}
Reference Angle20° (polishing/measurement orientation)
MFG Objective90°−20° relative, J1−J3 filtered (optician workload)
Weighted Sum6×WFE(40−20) + 5×WFE(60−20) + 3×MFG(90)
Trajectory R²' + f'{traj_result["linear_fit_r2"]:.6f}' + '
Reference Angle20\u00b0 (polishing/measurement orientation)
MFG Objective90\u00b0\u221220\u00b0 relative, J1\u2212J3 filtered (optician workload)
Weighted Sum6\u00d7WFE(40\u221220) + 5\u00d7WFE(60\u221220) + 3\u00d7MFG(90)
Trajectory R\u00b2' + f'{traj_result["linear_fit_r2"]:.6f}' + '
-
+
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