Table 1.
Probability distributions used for simulated clusters for training of the CMD classifier.
| Param. | Range | Distribution |
|---|---|---|
| log t | [6.4, 10.0] | 𝒰(6.4, 10.0) |
| [Fe/H] | [ − 0.5, 0.5] | ℬ(4.0, 4.0)−0.5 |
| m − M | [3.2, 15.73] | 𝒰(3.2, 15.73) |
| AV | [0.0, 8.0] |
 (a) |
| nstars | [10, 10 000] | 103 ⋅ ℬ(2, 3.5)+1 |
| σΔAV | [0.0, 0.6] | 0.4 ⋅ 𝒯(1.25) |
| l | [0° , 360° ) | 𝒰(0, 360) |
| b | [ − 90° , 90° ] | 90 ⋅ 𝒮 ⋅ ℛ(ℬ(1, 35), ℬ(1, 12), 2/3) |
Notes. Distributions of parameters are quoted as uniform distributions 𝒰(a, b) between a and b, beta distributions ℬ(a, b) with parameters a and b, truncated exponential distributions 𝒯(a) truncated at a, ℛ(a, b, x) which is a weighted choice with probability x of choosing value a and probability 1 − x of choosing value b, and 𝒮 which is a random sign with value +1 or −1.
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