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Timing parameter optimization for comparison experiments of TSIM.

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    Optimizing timing parameters for the Total Solar Irradiance Monitor (TSIM) using a genetic algorithm ensures accurate solar irradiance calibration. This method allows for efficient comparison experiments, crucial for solar observation despite weather constraints.

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    Area of Science:

    • * Solar physics and radiometry
    • * Instrument calibration and experimental design

    Background:

    • * Comparison experiments are essential for validating the Total Solar Irradiance Monitor (TSIM) against other space radiometers.
    • * Tight schedules and weather conditions necessitate careful selection of measurement parameters for these experiments.

    Purpose of the Study:

    • * To optimize the timing parameters of an absolute radiometer for TSIM comparison experiments.
    • * To ensure accurate calibration of total solar irradiance (TSI) measurements.

    Main Methods:

    • * A genetic algorithm (GA) was employed to find optimal timing parameters.
    • * The GA utilized a thermal model of an absolute radiometer, including heat radiation and air conduction.
    • * Fitness functions and constraints for the GA were derived from the thermal model.

    Main Results:

    • * Optimized timing parameters were identified using the genetic algorithm.
    • * The selected parameters proved sufficient for accurate TSI calibration.
    • * The optimization facilitated efficient comparison experiments under challenging conditions.

    Conclusions:

    • * The genetic algorithm approach effectively optimizes radiometer timing parameters.
    • * Accurate TSI calibration is achievable through optimized measurement parameters.
    • * This methodology enhances opportunities for solar observation and instrument validation.