.. _pet_refining_the_pet: Refining the PET ================ In the previous step, we used the PET Visualizer to estimate the Paraboloid's global minimum to be located around **(7,-8)**. If we were analyzing a more complicated function, we might choose to increase the number of Parameter Study sample points to get a clearer picture of the design space. In this case, however, we are confident that our function is smooth and lacking local minima, so we will instead re-run our PET with the same number of samples while decreasing the sampled area. 1. Left-click on the **PET Refinement tab** in Visualizer .. FIXME: I need to update this image after the PET Refinement tab .. fixes so that the file path to the PET is actually correct. .. figure:: images/parameterstudy_tutorial_49.png :alt: text The **Design Configurations** section enables you to manage your configuration names. Though our simple design has just one configuration, more complicated projects may have hundreds. 2. Click ``Apply`` under the **Refined** heading to set the name of your refined PET. .. figure:: images/parameterstudy_tutorial_49_a.png :alt: Naming the refined PET The **Numeric Ranges** section enables you to change Design Variable ranges. 3. Set **x**'s **New Minimum** and **New Maximum** fields to **0** and **10** respectively. 4. Set **y**'s **New Minimum** and **New Maximum** fields to **-10** and **0** respectively. .. figure:: images/parameterstudy_tutorial_50.png :alt: text .. FIXME: I need to update this image after the PET Refinement tab .. fixes so that the file path to the PET is actually correct. 5. Left-click **Execute New PET** .. figure:: images/parameterstudy_tutorial_51.png :alt: text OpenMETA will apply your changes and rerun the PET. You can see this in the **Results Browser**. .. FIXME: I need to update this image after the PET Refinement tab .. fixes so that the file path to the PET is actually correct. .. figure:: images/parameterstudy_tutorial_52.png :alt: text .. FIXME: I need to update this step after the PET Refinement tab .. fixes so that the file path to the PET is actually correct. 6. Select **parameterstudy_tutorial (1)** and left-click **Launch in OpenMETA Visualizer**. 7. Left-click the **Single Plot** tab. 8. Under the **Variables** section, set **x** as the **X-axis** and **y** as the **Y-axis**. 9. Left-click the **Overlays** section to expand it. 10. Set **f_xy** as the **Contour Variable**. 11. Left-click the **Add Contour Plot** box to check it. .. figure:: images/parameterstudy_tutorial_53.png :alt: text For numerical solutions, check out the Visualizer's **Data Table** tab - which allows you to view all the results in table format. Once you are there, you can sort the results to identify the minimum **f_xy** value sampled and its corresponding **x** and **y** values. While the :ref:`parameter_study_driver` is a useful tool for surveying a design space and can reveal important trends, it is generally not ideal for optimization problems. In the next section, we will learn how to use the :ref:`optimizer_driver` PET Driver, which is often better suited for optimization/minimization problems.