AFIS - A simulation framework for detection of aerosol fluorescence with integrating spheres

• Program Title: AFIS - A erosol F luorescence in I ntegrating S pheres • CPC Library link to program files: (to be added by Technical Editor) • Licensing provisions: BSD 3-clause • Programming language: Python • Nature of problem: Measuring (bio-)aerosol fluorescence is a complex task, especially for thin aerosols. In order to evaluate new experimental setups utilizing an integrating sphere, simulation data is essential to asses which system configurations yield promising results. Therefore, a simulation environment capable of calculating the different interactions within the setup is necessary, ideally providing a high level of customizability for the simulated setups. • Solution method: The AFIS simulation framework utilizes a ray-tracing approach based on a classical Monte Carlo description of the involved processes. Through batch-wise processing and penalization the computational efficiency is increased. We present a new simulation framework for the detection of aerosol fluorescence with integration spheres. Utilizing a Monte Carlo based ray-tracing approach, aerosol fluorescence within integrating sphere setups is simulated from photon generation through laser excitation over interactions with the setup components to losses and finally detection. Through modular design, the position and number of openings, sensors, etc. can be freely configured. Therefore, potential experimental setups can be evaluated with regard to overall performance, bottlenecks can be identified and the impact of different component parameters determined.