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We give a general model for a control chart. Let W be a sample statistic that measures some quality characteristic of interest, and suppose that the mean of W is W and the standard deviation of W is W.* Then the center line, the upper control limit, and the lower control limit become

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The important message for us here is this. In a perfect resonator, not only is the frequency spectrum of the radiation reduced to the discrete cavity resonances, but the fields themselves must be linear combinations of the corresponding mode patterns. So the cavity modes form a complete basis in terms of which any intracavity radiation field can be expanded.


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where k is the distance of the control limits from the center line, expressed in standard deviation units. A common choice is k 3. This general theory of control charts was rst proposed by Dr. Walter A. Shewhart, and control charts developed according to these principles are often called Shewhart control charts. The control chart is a device for describing exactly what is meant by statistical control; as such, it may be used in a variety of ways. In many applications, it is used for online process monitoring. That is, sample data are collected and used to construct the control chart, and if the sample values of x (say) fall within the control limits and do not exhibit any systematic pattern, we say the process is in control at the level indicated by the chart. Note that we may be interested here in determining both whether the past data came from a process that was in control and whether future samples from this process indicate statistical control. The most important use of a control chart is to improve the process. We have found that, generally 1. 2. Most processes do not operate in a state of statistical control. Consequently, the routine and attentive use of control charts will identify assignable causes. If these causes can be eliminated from the process, variability will be reduced and the process will be improved.

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This is the staple wine of our free tasting. We will start with field quantization in a perfect cavity because it is easier. Even though the important results of the mode calculation are summarized briefly at the beginning of Section 2.4.1, the reader might find it useful to have a look at Appendix A. After that, we are ready to tackle the free-space case in Section 2.4.2. This is just a bit more sophisticated because it involves continuum modes with lots of delta functions instead of Kronecker deltas and complex canonical variables, but the basic idea is the same of Section 2.4.1. Finally, a disclaimer. We do not talk a lot here about the photon as a particle. In this section it appears simply as the quantum of excitation of the modes of the electromagnetic radiation field. A more vivid description of the photon as a quantum particle is given in 3.

This process-improvement activity using the control chart is illustrated in Fig. 16-2. Notice that:

The key results of our mode calculation in Appendix A that we will need here are: 1. The orthonormality of the electric field modes (2.92) and of the magnetic field modes (2.93) 2. The expansion of the fields in terms of field modes

* Note that sigma refers to the standard deviation of the statistic plotted on the chart (i.e., deviation of the quality characteristic.

The control chart will only detect assignable causes. Management, operator, and engineering action will usually be necessary to eliminate the assignable cause. An action plan for responding to control chart signals is vital.

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