Gemini Users Manual 47
“Drift Correction” function if you want to use the PEC in a region of the sky other than
the one where you trained it, or if you plan to use the PEC data across multiple sessions
where the mount will be moved between sessions. After you have selected this function,
the drift correction will remain active until a new training session overwrites the data.
Using this function multiple times is not necessary, but also is not harmful. The amount
of drift compensation is displayed, and should become zero after subsequent calls.
If you measure a constant drift component over several areas of the sky you can train and
use PEC together with Gemini's Comet Tracking feature. Comet Tracking allows you to
use calculated or trained tracking rates to eliminate any drift.
Note: Drift Correction applies only to the current data set. It does not alter data in
the backup data set.
4.3.2.6 Smooth Data
In addition to periodic error and systematic drift, the corrections recorded during PEC
training runs can also contain random errors caused by scintillations (“seeing”) and over-
corrections. The Smooth Data function helps eliminate these random influences by
removing pairs of alternating corrections within an interval defined by the user. The
interval can be selected between 2 and 255 steps, the same units described for shifting the
PEC playback. (On a G-11, this corresponds to about 9.6 seconds maximum.) Any
alternating corrections made within this interval will be removed from the data. This
function can be used multiple times, with a smaller interval at the beginning and larger
intervals if needed.
Note: Smooth Data applies only to the current data set. It does not alter data in the
backup data set.
4.3.2.7 Average Data
Because of random fluctuations in the periodic error and random guiding errors during
the training run, you can often get more accurate PEC data by averaging the corrections
from more than one training session. After the second training run, two independent sets
of data are available. The latest data trained or calculated is stored in the current data set
that is used for guiding. Any data that was previously in the current data set is moved into
the backup set when you perform another training session. When you select “Average
Data,” the arithmetic means of the tracking runs is calculated and stored in the current
data set. The previously used data (the second training run) is saved into the backup set.
The “Average Data” function is not limited to two runs. During the third training run,
with the average function used on the previous two, the current data is backed up and
averaged with the new data. Once more, the newly averaged data is stored in the current
data set. The algorithm that is used to average the data correctly weights the previous
average so that all individual training runs are equally weighted. This process can be
repeated to average up to 255 training runs.
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