def METHOD_NAME(max_beta: float = math.pi / 8, n_alpha: int = 8, n_beta: int = 3) -> torch.Tensor:
    """
    :return: rings around the north pole
    size of the kernel = n_alpha * n_beta
    """
    beta = torch.arange(1, n_beta + 1) * max_beta / n_beta
    alpha = torch.linspace(0, 2 * math.pi, n_alpha + 1)[:-1]
    a, b = torch.meshgrid(alpha, beta, indexing="ij")
    b = b.flatten()
    a = a.flatten()
    return torch.stack((a, b))