Data
analysis sheet for in-plane length
measurements when the transitional
edges
defining L are oriented in
the same direction (or for an inside
edge-to-outside edge length
measurement from one data trace)
Figure L.2.1.
Top view of a fixed-fixed beam test
structure depicting the measurement
to be made, where Edge 1 is
considered an inside edge and Edge 5
is considered an outside edge.
To obtain the
following measurements, consult ASTM
standard test method E 2244 entitled
"Standard Test Method for In-Plane
Length Measurements of Thin,
Reflecting Films
Using an Optical Interferometer."
date data taken (optional) =
/
/
Table 1 - Preliminary
ESTIMATES
Description
1
material =
material
2
design length =
µm
design
length
3
which?
which iteration of the test structure
where "first" corresponds to the topmost or
leftmost test structure in
the column or array of the same material that has the specified length?
4
magnification =
×
magnification
5
orientation
=
orientation on the chip
6
calx =
x-calibration factor (for the given magnification)
7
interx
=
µm
interferometer's maximum field of view
(for the given magnification)
8
σxcal =
µm
one sigma
uncertainty in a ruler
measurement (for the given
magnification)
9
xres
=
µm
resolution
of the interferometer in the
x-direction
10
calz =
z-calibration factor (for the given magnification)
11
aligned?
alignment ensured ?
12
leveled?
data leveled ?
Table 2 -
INPUTS (uncalibrated values)
Notes
13
x1max
(i.e., x1upper)
=
µm
14
x1min
(i.e., x1lower)
=
µm
(x1min > x1max)
15
x5min
(i.e., x5upper)
=
µm
(x5min > x1min)
16
x5max
(i.e., x5lower)
=
µm
(x5max > x5min)
17
sep
=
µm
pixel-to-pixel spacing (for the
given magnification)
(Each
of the standard uncertainty
components is obtained using a
Type B analysis.)
Report the results as follows: Since it can be assumed that the possible
estimated values are either
approximately uniformly
distributed or Gaussian with
approximate standard deviation
uc, the length
is believed to lie in the
interval L
±
uc with a level of
confidence of approximately 68 %
assuming a Gaussian
distribution.