def get_distance(sigma_phi_1, sigma_phi_2, mean_phi_1, mean_phi_2, phi_1, phi_2):
    """
    Returns the "distance" that an object has relative to a specific region in terms of phi_1 and phi_2 considering the standar deviation.
    Arguments:
        sigma_phi_1 {float} - Standard deviation in phi_1 axis.
        sigma_phi_2 {float} - Standard deviation in phi_2 axis.
        mean_phi_1 {float} - Mean or center of the region in phi_1 axis.
        mean_phi_2 {float} - Mean or center of the region in phi_2 axis.
        phi_1 {float} - Center of the object in phi_1 axis.
        phi_2 {float} - Center of the object in phi_2 axis.
    Returns:
        Float -- Distance between the center of the object and the center of the region.
    """
    return ( ( phi_1 - mean_phi_1 ) / sigma_phi_1 )**2 + ( ( phi_2 - mean_phi_2 ) / sigma_phi_2 )**2 
    # return ( phi_1 - mean_phi_1 )**2 + ( phi_2 - mean_phi_2 )**2