Determination of tailored filter sets to create rayfiles including spatial and angular resolved spectral information

Area of Science:

• Optical Engineering
• Photometry
• Computational Optics

Background:

• Realistic light source modeling is crucial for simulating optical designs in ray tracing software, impacting perceived color and homogeneity.
• Spectral rayfiles, containing angular and spatial spectral data, are essential for accurate light source representation.
• Current methods for generating spectral rayfiles can be time-consuming.

Purpose of the Study:

• To propose an efficient spectral reconstruction method for creating spectral rayfiles.
• To minimize the time and complexity of goniophotometric near-field measurements using optical filters.
• To optimize the selection of optical filter combinations for accurate spectral reconstruction.

Main Methods:

• Spectral reconstruction using goniophotometric near-field measurements with optical filters.
• Monte Carlo simulations to account for measurement uncertainties.
• Factorial design for preselection of filter combinations to reduce simulation time.

Main Results:

• A method for generating spectral rayfiles with reduced measurement effort.
• Identification of optimal optical filter combinations for various spectra.
• Demonstration of minimized simulation time through preselection strategies.

Conclusions:

• The proposed spectral reconstruction method enables efficient creation of spectral rayfiles.
• This approach enhances the accuracy of light source modeling in optical design software.
• The method balances measurement efficiency with the consideration of uncertainties.