Table 3.
Linear regression best-fit values for slope (a) and intercept (b) using λRF as the independent variable.
| Variance – Timescale | Original data | Corrected data | CHAR model | |||
|---|---|---|---|---|---|---|
| a | b | a | b | a | b | |
| Variance – 300 days | -1.27 ± 0.19 | 1.64 ± 0.67 | -1.36 ± 0.17 | 1.98 ± 0.59 | -1.12 ± 0.01 | 1.15 ± 0.04 |
| Variance – 150 days | -1.38 ± 0.16 | 1.91 ± 0.58 | -1.45 ± 0.15 | 2.19 ± 0.53 | -1.38 ± 0.01 | 2.00 ± 0.02 |
| Variance – 75 days | -1.66 ± 0.14 | 2.77 ± 0.48 | -1.75 ± 0.12 | 3.10 ± 0.44 | -1.729 ± 0.002 | 3.04 ± 0.01 |
| Variance – 30 days | -2.65 ± 0.13 | 5.93 ± 0.48 | -2.72 ± 0.14 | 6.21 ± 0.50 | -2.184 ± 0.003 | 4.31 ± 0.01 |
| Variance Ratio – 300/150 days | -0.10 ± 0.16 | 0.44 ± 0.57 | -0.10 ± 0.16 | 0.44 ± 0.57 | 0.26 ± 0.01 | -0.86 ± 0.02 |
| Variance Ratio – 150/75 days | 0.35 ± 0.06 | -1.11 ± 0.22 | 0.35 ± 0.06 | -1.11 ± 0.22 | 0.35 ± 0.01 | -1.05 ± 0.02 |
| Variance Ratio – 75/30 days | 1.10 ± 0.19 | -3.57 ± 0.69 | 1.10 ± 0.19 | -3.57 ± 0.69 | 0.455 ± 0.001 | -1.268 ± 0.004 |
Notes. Columns represent: “Original data” (linear regression fits to the initial variance and variance ratio), “Corrected data” (fits to the new variance and new variance ratio, accounting for estimated variance suppression), and the “CHAR model” (fits to the variance and variance ratio based on the simulated light curves obtained from the CHAR model).
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