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Analyzing Aqua SD M1 Trends: Exponential Fits and Beta Angle Corrections

This study focuses on the Aqua SD M1 trends, using measurements that are multiplied by M1s to establish future extrapolations based on time. Preliminary results indicate that the beta angle dependence should be eliminated to refine our understanding. Discussions suggest a possible common reasoning behind the patterns observed across different detectors at both the start and end of the mission. The analysis includes M1 ratios, fitted exponential trends, and residuals across various detectors, providing insights into their correlations with time and beta angle adjustments.

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Analyzing Aqua SD M1 Trends: Exponential Fits and Beta Angle Corrections

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  1. Aqua SD m1 trends • MCST delivered measured m1s • counts are multiplied by m1s • near term objective: describe m1s as a function of time to extrapolate into future • result 1 (pretty sure): beta angle dependence should be removed • result 2 (open to discussion): pattern of different detectors suggests common reason for pattern at beginning and end of mission

  2. Aqua SD m1 as a function of time

  3. M1 ratios as a function of beta angle

  4. M1 as a function of time with exponential fit

  5. Residuals of m1 to exponential versus beta angle for detector 1

  6. Residuals of m1 to exponential versus beta angle for detector 10

  7. RMS as a function of detector

  8. M1 (detector 1) after correction for beta angle

  9. M1 (detector 5) after correction for beta angle

  10. Residuals of corrected m1 from exponential, detector 1

  11. Residuals of corrected m1 from exponential, detector 5

  12. Residuals as a function of detector

  13. Residuals versus detector, normalized to detector 1

  14. log m1 (dashed line) and exponential m1 (solid line)

  15. M1 ratio: log / exponential

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