Total Number of Least Squares Terms When Using Multiple Experiments

[yhammi]

Hello,
I am running a calibration with a simulation code using one field calibration 'velocity' term and two experiments.
According to the documentation, when multiple experiments are present, the total number of least squares terms will be the number
of calibration terms times the number of experiments. One example is provided, if the number of calibration terms are five scalars, and there are three experiments, the total number of residuals in the least squares formulation will be 15.

However, when I specify a field calibration term and two experiments, the calibration runs to completion but the total number of least square terms I need to specify in my driver is not 50 x 2 = 100 but 50 only. If it is only 50, do I need to take the average of the least squares at the 50 coordinates?

Below is my input file where I specify the

interface
fork
analysis_driver = 'driver.sh'
parameters_file = 'params.in'
results_file = 'results.out'
analysis_components '50'
file_save

responses
descriptors = 'velocity'
calibration_terms = 1
field_calibration_terms = 1
lengths = 50
num_coordinates_per_field = 1
read_field_coordinates
calibration_data
num_experiments = 2
numerical_gradients
no_hessians

Thank you!