Weak-lensing shear measurement with machine learning - Teaching artificial neural networks about feature noise

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Table 2.

Galaxy parameters to train the point estimator for the Euclid-like simulations.

Parameter	Distribution
Shear components g₁, g₂	𝒰(−0.1, 0.1)
Intrinsic galaxy ellipticity ε^true	ℛ(0.25)_[0,0.7]
Sérsic index^an	𝒰(0.3, 6.0)
Half-light radius R (pix)	𝒰(1.0, 10.0)
Magnitude	𝒰(20.5, 25.0)

Notes. Notations are the same as in Table 1.

^(a)

In practice, we grid the values for the Sérsic index (see Table 1).

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