The answer to your question is simple for raw files.
Maximize the sensor exposure
when the shutter is open such that the highlights required for the photograph you envision are recorded by the sensor.
In other words: maximize the analog signal-to-noise ratio modeled by the raw file.
This means one has to know something about the camera's data stream characteristics. For the OP's camera use the sensor's native ISO (100 or 200) and a shutter time appropriate for the handicap of not using a tripod (or to freeze subject motion) while maximizing exposure. This may not be the case for other brands or for different models within the same brand because in some cases the SNR has a significant dependence on ISO.
Then selectively increase the brightness of under-exposed regions in the image while selectively decreasing the highlight regions' brightness during post production.
It is often useful to automatically bracket exposures. This overcomes unavoidable inaccuracies in meter/histogram estimates. I use either 1/3 or 1/2 stop brackets. For the OP's work I would bracket the aperture. It might not be overkill to make 4 to 6 different exposures of the same static scene. One of these exposure will be close to the best possible exposure. It will have the highest possible information content.
There's really nothing else one can do.
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The technical reasons behind this advice follows.
o The only way to preserve highlights is to use a shutter speed and aperture that does does not clip them.
Highlights can be clipped two ways.
The first is when the camera is set to the native ISO of the sensor. This varies from brand to brand and within different models of the same brand. The clipping in this case comes from exceeding the full-well capacity of the sensor sites which means the electrical charge for these sites exceeds the chip's storage capacity.
The second way to clip highlights has nothing to do with the sensor. In low light the shutter time and aperture typically underexpose the sensor (because ISO is above the sensor's native ISO). However analog signal amplification after the shutter closes (ISO) exceeds the analog-to-digital converters' maximum design DC voltage threshold. This clips the highlight regions even though the sensor is underexposed.
The meter is just an estimate and can be misleading. It would be a happy, but rare coincidence that the meter reading's accurately is not affected the bright light's color temperature. In-camera histograms (with a few notable exceptions) are also just estimates because the histogram is computed from a rendered JPEG. This means the histogram depends on in-camera JPEG rendering parameters. I am not claiming the meter reading or histogram display are worthless. I am claiming they are just a starting point in the process of optimizing exposure.
So, the loss of highlight detail is a caused of too much exposure or too much ISO amplification. Nothing else matters for highlights.
The shadow regions are another story. Selecting a shutter time and aperture that does not clip the sensor can have a profound affect on the shadow regions. The shadow regions have the lowest SNR. A shutter time and aperture exposure set to record all the highlight detail results in less exposure for the shadow regions. This is the reason a camera's data-stream read noise level is important. The lower the read noise the higher the shadow regions' SNR. This means more detail and more color accuracy in rendered images.
The data stream's
analog dynamic range depends on the maximum signal levels the sensor can record and the read-noise level. This is the reason raw file DR is an important metric for digital camera performance. Increasing ISO always decreases the analog DR. When one does what the meter tells one to do, increasing ISO results in shorter shutter times and, or narrower apertures. Increasing ISO decreases the SNR... which in turn decreases the DR.
Heres's some
data for a diverse range of cameras that computes the relative DR from statistical analysis of unrendered raw files. Just select the camera(s) of interest from the right-hand pane.
The term ISO-less has become popular in the past year or so. There are very few IOS-invariant cameras. ISO invariance means the read noise characteristics are statistically
identical for all ISO settings. However many cameras can be used as though they are ISO invariant. For practical purposes, the read-noise differences are irrelevant for up to 3 to 5 EV of sensor underexposure. The OP's camera is one of these.
One should know how ISO affects the SNR for the camera in use. Using the optimum ISO setting delivers raw data with the best possible SNR and DR. SNR and DR have the greatest impact on the rendered images' aesthetics.