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Surface Fitting by Minimizing the Root Mean Squares Error and Application of Clamped Cubic Spline
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Surface Fitting by Minimizing the Root Mean Squares Error and Application of Clamped Cubic Spline
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Description
Identifier
Thesis
1833
Author
Gagne, Ann-Marie F., 1976-
Title
Surface
Fitting
by
Minimizing
the
Root
Mean
Squares
Error
and
Application
of
Clamped
Cubic
Spline
Publisher
Central Connecticut State University
Date
2006
Resource Type
Master's Thesis
Notes
Surface
Fitting
is
useful
to
researchers
in
fields
from
engineering
to
medicine
. The
expertise
of
mathematicians
is
needed
to
help
with the
analysis
of
data
to
help
the
experts
in those
fields
draw
appropriate
conclusions
. The
research
that this
thesis
is
analyzing
comes
from an
electrical
engineer
at
Texas
Instrument
Incorporated
. The
data
and
questions
being
answered
were
provided
from
research
on
polycrystalline
silicon
films
,
which
are
used
in
manufacturing
cell
phones
. The
questions
that are
being
answered
are: The
first
section
will
answer
, '
Find
an
analytic
model
of the
surface
thickness
that the
data
represents
' and the
second
section
will
answer
, 'What
is
the
relationship
between
deposition
time
and
temperature?
' In the
first
section
, the
question
'
Find
an
analytic
model
of the
surface
thickness
that the
data
represents
' will be
answered
by
approximating
the
thickness
of
polycrystalline
silicon
films
by
minimizing
the
root
mean
squares
error
. The
polycrystalline
silicon
films
deposition
in the
integrated
tool
is
carried
out
in a
single-wafer
rapid
thermal
chemical
vapor
deposition
chamber
.
Typically
, a
silane-based
process
is
used
. The
polycrystalline
silicon
films
are
produced
in
such
a
system
that has
two
manufacturing
difficulties
:
across
wafer
thickness
uniformity
and
surface
topology
. This
process
, if not
optimized
,
can
negatively
impact
film
production
. The
engineers
at
Texas
Instrument
Incorporated
recently
reported
an
enhanced
manufacturability
of the
polycrystalline
silicon
films
process
with
disilane-based
process
. The
surface
is
approximated
by
generalizing
the
least
squares
method
of
minimizing
the
root
mean
squares
error
to
estimate
a
surface
,
F(x,y)
=
Ax2+By2+Cxy+Dx+Fy+G
. The
thesis
demonstrates
the
process
of
determining
the
matrix
needed
to
estimate
the
surface
and the
Matlab
commands
needed
to
produce
the
surface
. The
surfaces
produced
allow
the
engineers
at
Texas
Instrument
Incorporated
to
understand
the
uniformity
of the
thickness
of the
films
produced
. In the
second
section
, the
question
"What
is
the
relationship
between
deposition
time
and
temperature?
" will be
answered
by
approximating
the
deposition
rate
of the
silane
and
disilane
processes
as a
function
of
heater
temperature
for
polycrystalline
silicon
films
by
estimating
a
clamped
cubic
polynomial
spline
.
Due
to the
request
from the
researchers
at
Texas
Instrument
Incorporated
, the
silane
process
must
be
analyzed
separately
from the
disilane
process
. The
researchers
at
Texas
Instrument
Incorporated
recently
reported
an
enhanced
manufacturability
of
polycrystalline
silicon
films
using
the
disilane
process
,
based
on the
disilane
process
being
less
sensitive
to
temperature
.
Subject
Least squares
Spline theory
Department
Department of Mathematical Sciences
Advisor
Chen, Yuanquian
Type
Text
Digital Format
application/pdf
Language
eng
OCLC number
713733940
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