►
From YouTube: SimPEG Meeting May 2
Description
Dom and Seogi update us on their progress constructing the synthetic Kevista model.
We discuss the structure of GeoSci: computation and templates for the tutorials and case studies it contains.
B
C
E
C
Okay,
should
you
the
gist
of
what
I've
been
up
to
you
with
communication
and
where's
Tuesday
go
so
this
was
these
effect.
Tutorials
is
a
lot
of
these
effect
tutorials,
yes,
I'm
working
on
who
makes
some
of
the
dogs
that
were
like
pretty
specific
to
take
a
little
bit
from
tutorials
now
to
the
signals.
So
these
are
on
Pacific
practice
and
things
like
that
and
passing,
and
that's
pretty
specific
to
if
you
want
to
help
it
so
I
pull
that
over
to
Pacific.
C
C
So
this
is
the
source
for
it,
so
things
like
getting
started
for
developers,
for
example
like
that's
actually
really
just
like
if
you
want
to
help
develop
so
that
I
have
moved
over
to
save
a
dog's
okay
same
thing
with
to
the
loot
practices.
It's
just
like
that's
shameful
requests.
That
kind
of
thing
is
like
again
pretty
development
specific,
oh.
C
Yeah,
so
that
is
ass
and
then
because
this
is
changing
its
scope,
a
little
bit
I've
been
working
on
organizing
it
so
show
you
like
this
is
the
local
versions
not
live
right
now,
because
it's
less
but
the
idea
being
then
there's
like
three
main
pieces
to
it.
So
fundamentals
is
actually
a
sort
of
what
give
specific
trips
so
really
want
me
through
each
step
of
the
framework,
like
your
invitation
planning,
so
that
all
sorted
out
fundamentals,
tutorials
would
be
more
so
things
like
the
MT
tutorial.
That's
you're,
working
on
hold.
A
A
C
B
A
C
A
C
G
C
Right
so
Italy
click,
and
this
is
something
to
chat
about
and
I,
would
appreciate.
Your
guys
thoughts
on
is
so
there's
fundamentalist
will
have
notebooks
I
think
associated
with
each
of
these
they'll
be
like
just
a
new
vocal
will
have
some
specific
to
saw
specific,
tutorials
and
some
specific
to
taste
it.
The
distinction
I.
C
B
C
C
D
A
D
C
C
F
C
Things
anything
about
the
hell
spacer
whatever
in
that
DC
matrix,
yeah
yeah
and
then
the
question
I
also
wanted
to
ask
you
guys:
food
sort
of
development
style
and
how
we
want
to
write
these
things,
because
it's
this
is
much
more
I
see
it's
like
a
mix
of
notebooks
and
rst
and
so
like
what
I
could
Kirk
out
see,
look
for
fundamental
thing,
a
lot
of
that
made
sense
to
have
it
as
rst
like
it
is
just
written
the
daughters
and
then
we
can
have
a
set
of
notebooks
decided.
C
B
A
C
H
D
B
C
B
C
So
what
it'll
look
like
when
it
fails,
is
it'll
capture
capture
this,
so
it
tells
you
which
one
it
failed
on
and
then
it
captures
like
the
entire
and
B
convert
outputs.
And
then
this
is
the
cell,
where
it
failed.
So.
C
G
G
H
D
C
Certainly
could
be
I
guess
like
where
I
would
see
for
computation.
Is
we
put
a
little
more
effort
into
explaining,
like
the
motivation
for
this
steps,
whereas
simple
tutorials
I
think
is
actually
okay
to
have
things
that
are
more
so,
like
you,
wanna
create
a
match.
Here's
the
status
of
creative
actors
do
not
necessarily.
D
D
C
A
A
H
B
D
C
C
C
D
Thinking
about
feelings,
yeah,
who
wants
to
work
now,
that's
gonna,
be
beyond
that
theme.
C
C
This
has
on
things
actually
helpful,
I
mean
you
shouldn't
hoping
today
get
a
morning,
so
it
was
here
as
usual.
Five.
D
A
H
A
A
Doesn't
necessarily
talk
to
starts
to
conserve
a
class,
doesn't
I
kind
of
like
okay
with
that,
but
we
have
together.
If
you
have
a
certain
format,
at
least
like
so
whatever
candidate
table
format
doesn't
matter
certain
format
then,
and
I'm
kind
of
fine
pockets
like
building
up
some
sort
of
simple
visualizations
like
there
are
different
ways.
For
instance,
DC
uses
survey
classic
to
visualize
thanks,
but
all
right
like.
A
A
Is
that
gigabyte
or
more
than
different
light,
sometimes
so,
but
like
what
you're
inverting
for
is
going
to
be
much
smaller
right?
It's
a
very
frequency
or
forty
frequency,
so
there
could
be
some
difference
but
like
if
so
I
think
here
we're
going
to
bring
a
lot
of
those
kind
of
things.
I
guess,
so
you
can
sort
of
figured
it
out
interesting
and
frame
or
structure
that
will
be
like
really
available
for
all
of
us.
C
C
Okay,
so
based
on
Jared's
comments.
So
if
we
look
it
up
this
year,
we've
got
basically
starting
with
the
time
series.
We
have
that
special
estimation
and
then
transfer
function
and
each
of
those
is
sort
of
their
distinct
things
and
sort
of
distance
is
about
processing,
workbook,
so
I
think
they
should
basically
be
their
own
distinct
base
boxes,
but
then
each
builds
upon
the
next.
C
So
to
get
spectrum
estimation
up
and
running,
you
need
that
time
series
they
eat
input,
so
you
instantiate,
and
so
a
few
of
the
things
that
aren't
syncing
with
like
what
maybe
time
series
class
looks
like.
Is
we
burn
in
the
source
data
and
create
a
data
frame
for
that?
So
it's
oughta
be
what
you
were
saying
with
large
data
sets,
there's
things
that
are
like
tasks
vast
day
of
things.
You
can
interface
them
as
soon
as
like
a
panda's
data
frame,
but
it
doesn't
necessarily
blow
everything
up
in
snoring.
C
Okay,
so
you
should
be
able
to
treat
this
then,
like
so
once,
you've
created
your
time
serie
if
you
want
to
be
able
to
treat
it
like
a
data
set,
so
you
should
just
be
able
to
call
it
and
ask
for
like
please
give
EDX
at
this
time.
So
similarly,
the
fields
object
in
a
sense
is
that
it's
smart
array
essentially
so
that
it
would
be.
What
we
would
accomplish
here
is
that
you
can
index
it
and
treat
it
as
a
terrain.
C
C
To
process
it,
you
should
always
be
able
to
easily
done
and
we
can
do
some
smart
things,
but
actually
like
having
not
actually
keeping
this
in
memory,
but
looking
it
up
or
whatever
it
is
you're
hitting
large
okay,
then
your
current
data
would
basically
be
whatever
is
live
at
the
moment,
and
so
you
have
your
processing
workflow.
That's.
C
Like
what
Jared's
mentioned
here,
perhaps
we're
going
to
load
up
the
time,
so
you
can
remove
some
pipeline
noise
and
we're
going
to
use
byte
of
the
data,
so
the
current
data
is
always
going
to
be
wherever
you
are.
So
if
you
remove
pipeline
goings,
then
it
will
have
that
one
and
then
you
can
go
to
the
next
step
and
it
will
just
operating
on
we're
always
will
be
operating
on.
C
Yeah
this
is
where
I
appreciate
input
as
well
is
basically
having
like
a
processing
wall
so
step
by
step.
We
should
be
recording
whatever
steps
you've
taken
to
get
to
the
current
event,
so
that
if
you
want
to
go
back
and
to
go
with
the
step,
for
instance,
if
you
found
late,
you've
got
all
the
way
through
you
just
like
your
dad
realize.
C
Therefore
the
outlier
you
should,
but
you
should
be
able
to
go
back
all
tada
and
then
we'll
be
running,
so
that
would
help
us
do
that
also,
ideally
like,
we
should
be
able
to
serialize
it
so
write
down
essentially
and
then
load
it
up
for
any
other
data
set.
So
if
you
start
with
a
small
subset
of
your
data-
and
you
just
want
to
fine
tune
your
workflow
and
then
I'll
apply
it
back
onto
a
larger
shield,
you
should
be
able
to
be
still
load
up.
Your
process
involve
my
it.
C
A
Yeah
Cynthia,
like
a
so
you're
going
to
play
with
some
sort
of
local
soil.
First
probably
will
be
small
sets
of
data,
and
then
you
regenerate
a
workflow
then
like
that
secular
law,
I
call
system
at
the
end
of
the
day,
with
a
large
data
set
that
I
have
all
of
their
history,
that
you
don't
get
apply
that
into
all
of
these
I
think
if
I
want
actually
mindedly
credit,
but
just
use
me
long
yeah,
that's.
E
E
E
C
C
A
E
C
I
E
E
Because
I
think
would
be
interesting.
Just
like
okay,
we've
got
one
example,
something
to
kind
of
carry
you
all
the
way
through
with
whatever
code
exists,
whatever
status,
and
then,
if
you
look
at
that
and
then
look
to
see,
okay
now,
if
I
wanted
to
reproduce
that,
so
you've
got
your
vision
of
like
okay.
This
is
how
you
can
integrate
nicely.
This
is
what
I'd
like
to
call
things
and
then
to
see
what
else
is
out
there
have
a
real
nice
global
feel
everything
look
where
you
need
to
start
in
which
people
along.
E
E
B
E
A
J
E
H
E
B
E
Point
is
so
if
you're
actually
able
to
you'll
have
a
script
or
something
that
could
read
it.
The
data,
do
you
till
after
you
till
and
come
up
with
something?
Okay,
you
got
to
the
amp
okay,
so
that's
if
that's
when
we're
through
and
then
to
be
able
to
he'll
look
at
that
say.
Okay
now,
if
I
want
to
reprogram
all
this
an
object-oriented
framework,
then
these
are
the
kinds
of
things
I
was
like.
Yes,.
D
B
B
H
So
there
were
open
surfaces
and
can
I
need
to
simplify
this
little
bit,
depict
reflectors,
but
we're
more
most
interested
at
this
point
that
just
a
large-scale
large-scale
features.
So
all
these
guys
here
this
nice,
my
god,
I'm
sure
again
the
top
of
map.
Okay,
so
I,
think
our
goal
for
the
V
CGS
is
that
we
would
like
to
be
able
to
see
with
all
that
your
physic
that
we
have
can
we
characterize
the
big,
the
big
units,
so
the
peridot
tile,
the
intrusion
where
the
mineralization
is.
H
H
G
A
H
J
H
Piece
so
yeah
all
the
high
connectivity's
are
in
there.
The
intrusion
itself
is
a
it's
slightly
resistive,
although
we
noticed
about
and
the
in
the
connectivity
anomaly
right
where
the
memorization
is
so
we,
the
mineralization
itself,
might
be
slightly.
You
decide
to
conductive,
so
that's
the
connectivity.
Then
we
have
graph
just
going
to
go
quickly
through
up
through
the
date
diamond.
H
This
is
your
grip
10
online,
so
the
intrusion
is
I
high
density
and
then
we've
inverted
it
already.
The
estate,
that's
you're,
gonna,
have
a
UPC
model
and.
G
B
H
H
Let's
go
so
it's
bleeding
out
because
it's
a
smooth,
but
at
least
we're
getting
the
Yeti
and
the
edges
of
them,
nice.
H
H
D
H
H
Know
yeah,
it
looks
very
this
thing
doesn't
look
very
real
and
that's
the
thing
with
boreholes
is
that
each
each
time
they
serve
me?
That's
what
I
found
its
capital
is
a
separate
experiment,
so
there
might
be
some
calibration.
That's
what
we
having
I
yeah
yeah.
It
doesn't
make
much
sense
with
what's
intersecting
the
other
data
okay,
so
we
we
went
from
there
and
then
started
building
some
surfaces.
H
H
H
I'm,
not
a
hundred
percent
sure,
where
I
think
they're
I
can
get
from
sites
like
an
end
rooms,
but
those
are
really
geologists
that
are
sketched
out.
What
do
you
think
they
think
is
happening
from
surface
dips,
I
guess
the
surface,
and
so
most
of
them
are
vertical,
but
those
would
we
endure
enticing
the
cross-sections
I
give
them
a
bills.
Migrant
census
got
ears.
H
H
H
B
H
H
Psyche
we're
already
working
young,
you
could
yeah.
G
H
H
F
A
A
H
E
H
A
D
B
B
H
G
I
J
F
A
A
B
A
To
get
the
data
is
that
like
it's
done
or
like?
Do
you
have
some
person
that
you
can
ask
right
or
we
can
get
double
check,
I'm,
not
sure
what
we
have
a
little
chip?
So
that's
probably
good.
So
what
I'm
planning
is
like
I'm
going
to
pick
this
line
where
which
crosses
the
mineralisation
and
then
probably
just
do
too
deep?
You
see
inversion
and
sure
to
do
that
90.
You
say
that
I.