feat: professional acoustic plot styling and combined dashboard#68
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feat: professional acoustic plot styling and combined dashboard#68
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Introduce a shared plot_theme module that standardises all matplotlib output to match professional acoustic simulation tools (Akabak, HornResp): muted color palette, log-scale frequency axes with standard audio ticks (20 Hz–20 kHz), fixed 5 dB SPL divisions, dual-weight grids, smooth curves without markers, and 150 DPI output. All existing plotting modules (plotter, impedance_plot, phase_plot, compare, compare_horns, html_report) now use the shared theme. A new dashboard module produces a combined 3-panel view (SPL + impedance + phase/group-delay) on a shared frequency axis, with a Nextflow process and CLI entry point. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Summary
plot_thememodule: shared styling source of truth — muted color palette, standard audio frequency ticks (20 Hz–20 kHz with "k" suffix), fixed 5 dB SPL divisions, dual-weight grids, 150 DPI output, smooth curves (no markers)plotter,impedance_plot,phase_plot,compare,compare_horns, andhtml_reportnow use the shared theme for consistent professional outputdashboardmodule: combined 3-panel figure (SPL + impedance + phase/group-delay) on a shared x-axis, with CLI entry point (horn-dashboard) and Nextflow processTest plan
pytest packages/horn-analysis/tests/ -v— all 17 tests pass (including new dashboard test)docker build --target test -f packages/horn-solver/Dockerfile .passes🤖 Generated with Claude Code