Manuscript ID: computation-4471609
Title: Reduced-Order Computational Modeling of Small UAV Acoustic Signatures and SNR-Based Passive Detection Range Using Harmonic Aeroacoustic Scaling

Supplementary files

S1_computation_model_revision2.py
Revised Python implementation. It reproduces data normalization, logarithmic calibration, raw-linear and quadratic model comparisons, 100,000-realization Monte Carlo uncertainty propagation, independent-configuration validation, harmonic-spectrum synthesis, broadband and tonal detection illustrations, ISO 9613-1 atmospheric absorption, two-ray sensitivity, tables, and figures.

S2_intaratep_original_9450_calibration.csv
Ten digitized Original 9450 data points used for calibration.

S3_intaratep_aftermarket_9443_validation.csv
Eleven digitized Aftermarket 9443 data points reserved for validation without refitting.

S4_model_summary_revision2.json
Machine-readable summary of fitted parameters, calibration/validation metrics, Monte Carlo intervals, model-comparison statistics, detection-distance intervals, applicability bounds, and benchmark timing.

S5_beta_sensitivity.csv
Global sensitivity results for beta = 0.50, 0.60, and 0.70, including harmonic pressure-level reductions and relative narrowband range ratios.

S6_propagation_sensitivity.csv
Illustrative ISO 9613-1 atmospheric-absorption and two-ray ground-interference calculations.

Figure_1_calibrated_harmonic_spectrum.png
Normalized screening spectrum at 5000 RPM.

Figure_2_calibration_and_validation.png
Original 9450 calibration/model comparison and Aftermarket 9443 validation without refitting.

Figure_3_detection_distance_uncertainty.png
Free-field broadband threshold-crossing distances with combined statistical 95% screening intervals.

Reproducibility note
The digitized data remain attributable to Intaratep et al. The supplementary implementation is a reduced-order screening tool and is not a CFD/FW-H solver or a calibrated operational detector model.
