Nomograph

A nomograph is a graphical tool that allows you to perform calculations by using a set of parallel lines or curves that intersect at different points. Here are the steps to use a nomograph:

Identify the variables: Determine which variables you need to calculate or find the relationship between. For example, if you want to find the wind speed given the air pressure and temperature, then the variables are wind speed, air pressure, and temperature.

Locate the scales: Look at the nomograph and find the scales that correspond to the variables you are working with. Each variable should have its own scale, which may be in the form of parallel lines, curves, or other shapes.

Plot the values: Locate the values of each variable on its corresponding scale, and draw a line or curve connecting them. For example, find the point on the air pressure scale that corresponds to the pressure value, then find the point on the temperature scale that corresponds to the temperature value. Draw a line connecting these points.

Read the result: Where the line or curve you have drawn intersects with the scale for the variable you are trying to find, read off the corresponding value. This is your answer.

Check your work: Double-check your answer to make sure it is reasonable and matches the problem statement.

Note that the process may differ slightly depending on the type of nomograph you are using, but the basic steps should be similar. Also, be sure to read any instructions or labels that may be present on the nomograph to ensure proper use.

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AI Technical Trustability Update

While working on an update to my RF Cafe Espresso Engineering Workbook project to add a couple calculators about FM sidebands (available soon). The good news is that AI provided excellent VBA code to generate a set of Bessel function plots. The bad news is when I asked for a table showing at which modulation indices sidebands 0 (carrier) through 5 vanish, none of the agents got it right. Some were really bad. The AI agents typically explain their reason and method correctly, then go on to produces bad results. Even after pointing out errors, subsequent results are still wrong. I do a lot of AI work and see this often, even with subscribing to professional versions. I ultimately generated the table myself. There is going to be a lot of inaccurate information out there based on unverified AI queries, so beware.

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