Self-Consistent Atmosphere Representation and Interaction in Photon Monte Carlo Simulations

• DOI: 10.48550/arxiv.2403.15562
• Publication Date: 2024-03-22
• Authors: J. R. Peterson; G. Sembroski; Anirban Dutta; C. Remacaldo
• Keywords: Representation

We present a self-consistent representation of the atmosphere and implement interactions light with using photon Monte Carlo approach. compile global climate distributions based on historical data, vertical profiles thermodynamic quantities, spatial models cloud variation cover, four kinds aerosols. then refraction, Rayleigh scattering, molecular interactions, Tyndall-Mie scattering to all photons emitted from astronomical sources various background components physics first principles. This results in emergent image properties that include: differential astrometry elliptical point spread functions predicted completely horizon, arcminute-scale spatial-dependent photometry variations at 20 mmag for short exposures, excess 0.2% due atmosphere, function wing water droplets. reproduce well-known correlations characteristics: altitude absolute (overall transmission) relative (spectrally-dependent transmission), anti-correlations (non-ideal astrometric patterns) levels, an anti-correlation depth. However, we also find further subtle including temperature astrometry, correlation photometry, humidity, humidity Lunar background, significant PSF depth, lunar