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Scanning Tunneling Microscopy (STM)
STM-Specific Information and Operations
Rev. D
Dimension 3100 Manual
183
11.3.4 STM-Specific Menu Parameters
In addition to the
Data type
discussed above, the STM control panels contain three items that are
specific to the operation of the scanning tunneling microscope. The
Feedback type
,
Bias
, and
Setpoint
parameters pertain exclusively to the control of the STM.
The
Feedback type
parameters in the Other Controls panel determine the transformation
performed on the tunneling current prior to the feedback calculations. The three settings select
Linear
,
Log
, or
Boost
operations. Remember that tip-to-sample separation is proportional to the
log of the tunneling current. The
Linear
selection causes the error signal for the feedback loop to
be the difference between the instantaneous tunneling current and the setpoint current. The
Log
and
Boost
selections calculate the error signal as the difference between the log of the instantaneous
tunneling current and the log of the setpoint current. The
Boost
mode performs additional
operations to optimize the feedback performance for high scan rates over rough surfaces.
The
Bias
parameter controls the magnitude and sign of the bias voltage applied between the tip and
the sample. A bias voltage encourages the tunneling current to flow. Although settings of 20 to 100
mV are typical for conductive samples, the allowable setting ranges from -10 to 10 volts. Positive
settings of the bias voltage induce negative tunneling currents (i.e. electrons flowing from the tip to
the sample).
Optimization of STM Scanning Parameters
The process of selecting and optimizing the scan parameters can be streamlined. In most cases the
scan parameters are dictated by the sample. The
Data type
is usually the first parameter set and the
Proportional
and
Integral gains
are directly related to the
Data type
. The
Scan size
depends on
the sample and the features of interest. The maximum
Scan rate
is usually related to the
Scan size
.
The
Bias
voltage and the tunneling current
Setpoint
depend on the sample. Usually, they are set at
a standard value for engagement and fine-tuned along with the gains and filter to enhance the
quality of the image.
As discussed above, a
Data type
of
Current
is the best for atomic-scale images. This mode is not
practical for rough surfaces, because the tip will crash into the surface at low feedback gains. The
Height Data type
is usually better for all but atomic-scale scans. In general, height data images are
best at higher feedback gains and slower scan rates.
Settings for feedback gains depend on many factors, but perhaps the most important is the
Data
type
. If the Data type is set to
Current
, the
Integral
and
Proportional gains
should be set as close
to zero as possible. The
LookAhead gain
adds information from the previous scan line into the
feedback calculation so it is most useful for samples with long vertical features. The gains should
be lowered for data captured using the linear
Feedback
type, especially with high
Setpoint
current
levels. Large-scale images should be taken at increased gain, except for the
LookAhead gain
,
which is best kept to low values. Experimentation may yield other values for your samples.
Often the best way to set the gains for the
Height Data type
is to view the Realtime scan in the
Scope Mode
with the
Y scan
disabled. This allows the feedback to be tuned while looking at a
single scan line of data. First, increase the
Integral gain
until oscillations start to appear, and then,
back off a little. Next, adjust the
Proportional
and
LookAhead gains
. High frequency fuzz will
appear on the signal when the
Proportional gain
is set too high. Setting the
LookAhead gain
too
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