►
From YouTube: The LUX Experiment and NERSC
Description
The Large Underground Xenon (LUX) experiment at NERSC, Carlos Hernandez Faham, Berkeley Lab
A
B
B
B
A
B
C
B
Didn't
help
that
that
was
just
his
favorite
phrase,
so
he
was
a
remarkable
man.
He
coined
a
term
supernova,
he
discovered
a
quite
a
number
of
them
and
he
also
dabbled
in
in
Jet
Propulsion
I.
Guess
you
did
that
back.
Then
he
had
our
50
patents,
huge
I
believe
the
first
one
to
propose
using
supernova
standard
candles
in
many
other
things-
and
most
importantly,
this
is
the
point
of
this
talk-
is
that
he
found
a
problem
between
a
discrepancy
between
the
visible
mass
that
you
can
see
in
a
galaxy
and
it's
kinetic
mass.
B
What
the
equations
of
motion
tell
you
about
how
much
matter
is
in
there
he
called
his
dark
matter
and
since
nineteen
thirty
three,
this
has
been
present
in
pretty
much
everywhere.
You
look
in
the
universe,
so
that
was
it
then,
and
here's
a
now.
We
have
a
wealth
of
evidence,
I'm
just
going
to
go
through
them.
I
wish
I
could
explain
each
one
right
now,
because
it's
beautiful
physics,
spanning
many
orders
of
magnitude
to
novel
prices
here,
see
George
moved
here.
That's
one
of
them
self
promoter,
others.
Some
excitement
in
bao
recently
as
well.
B
There's
a
wealth
of
information
and
they
all
point
to
the
same
picture
is
that
we
live
in
this
kind
of
universe.
It's
not
shaped
like
a
pie,
but
that
if
those
are
the
ingredients,
this
is
us,
unfortunately,
every
every.
So
often
we
get
a
new
picture
of
the
universe
and
we
just
get
smaller
and
smaller
in
this
picture.
So
this
is
us.
This
is
regular
matter
all
the
particles
in
the
standard
model
of
physics
that
we
know
of
are
here,
and
this
is
matter
that
we
we
don't
know
what
it
is.
We
know
it's
there.
B
B
Part
of
the
high-
we
really
don't
know
what
it
is,
so
we
want
to
try
to
get
more
puzzle
pieces
in
there,
so
you
can
try
to
see
it
in
the
sky.
What's
called
indirect
detection.
If
you
can
easily
and
easy
lates
or
does
some
sort
of
interaction
that
it
gives
you
buy
products,
you
can
possibly
see
those
we
telescopes
there's
a
direct
detection
which
is
which
is
lux.
B
B
B
Percent
and
22
significant
if
a'kin
figures,
that's
four
point.
Eight
percent-
and
this
is
some
sort
of
concordance
model
where
many
different
I'm
not
gonna,
explain
this
too
much.
But
there
is
a
concordance
between
different
measurements
that
that
tell
you
that
this
is
what
we
live
in
and
in
Dark
Matter,
total
matter,
sorry
and
an
energy
dark.
C
B
Alright,
so
how
do
you
detect
dark
matter?
I
wish
I
could
tell
you
what
this
is.
This
is
how
we're
attempting
to
detected
this
is
this
is
our
galaxy
artist
rendition,
and
this
is
all
we
can
see
luminous
matter
and
you
can
detect
the
presence
of
a
dark
matter.
Halo,
spherical,
roughly
spherical
around
the
Milky
Way
and
the
solar
system
is,
is
moving
here
and
the
earth
is
moving
within
the
solar
system.
So
the
motion
of
the
earth
relative
to
the
dark
matter
is
it's
not
the
same?
B
Okay,
so
you
should
feel
this
wind
of
dark
matter.
If
we
could
feel
it,
there
will
be
millions
of
these
particles
coming
through
you
just
like
the
neutrinos.
You
just
don't
feel
them
there
so
they're,
so
weakly
interacting,
so
we're
assuming
that
dark
matter
particles
are
able
to
interact
with
our
detector.
Just
like
neutrinos
from
lisa
is
going
to
tell
you
all
about
new
treatments
in
the
next
talking.
B
How
how
we
actually
have
this
technology
that
the
tech
neutrinos
and
we
put
a
detector
and
of
all
of
these
flux,
going
through
it
once
in
a
while
one
of
it
is
going
to
interact
with
a
weak
force.
We
don't
know
whether
interacts
with
the
weak
force,
there's
a
lot
of
theories
that
support
new
particles
that
interact
with
a
weak
force
to
kind
of
match.
This
need
that
we
have
in
dark
matter
for
new
particles.
So,
let's
just
say
it
interact
with
a
weak
force.
Let's
look
for
new
particles
that
are
scattering
now.
B
C
B
Called
a
cross-section
and
we're
assuming
some
sort
of
mass,
because
if
you
have
heavier
particles
which
changes
the
cross-section
these
terrible
terrible
unit
is
our
we've
inherited
since
then
of
10
to
the
minus
40
41
42
centimeters
squared
for
cross
section,
but
just
bear
with
it
units.
So
we
started
up
here,
homesick
and
Orville
funny
now
we're
back
at
home.
Stick
now
for
Lux,
and
you
see
this
technology
going
through
the
germanium
detectors.
B
Then
people
started
thinking
about
cry
of
detectors,
so
cooling
down
this
germanium
gave
you
much
more
sensitivity,
and
here
is
another
trend,
so
you
can
see
that
the
rate
of
improvement
per
year
is
actually
getting
better
and
better
I,
don't
know,
there's
a
Moore's
law
for
these
with
there
should
be
doing
this
and
then
there's
the
novel
liquids.
These
are
the
right-hand
side
of
the
periodic
table,
the
noble
gases
that
we
liquefy
and
they
turn
out
to
be
excellent.
Particle
detectors
for
this
kind
of
work.
B
Okay
and
just
to
show
you
what
the
scale
of
the
locks
result
is.
I'm
gonna
pick
on
the
little
guy
here,
sorry
oroville,
here's
lux
one
minute
after
one
meaning
of
data
taken
we
have
that
limit
sensitivity.
Here's
five
minutes,
here's
one
hour,
18
hours.
This
is
CDMS
to
most
of
some
of
you
may
infer
that
it
was
a
very
successful
program.
Still
is
running
at
university.
Here,
Berkeley
burn
are
seveal
a
he
did
a
lot
of
his
work
here.
B
People
at
LVL
and
other
universities
use
is
yes,
then
here's
locks
for
days
this
is
seen
on
hundred
and
here's
us.
Sorry
here
is
an
abuse.
Here's
us
in
85
days
and
we're
gonna
ramping
up
we're
beginning
this
year,
a
new
run,
hopefully
April,
but
I
don't
want
to
give
any
dates.
A
one-year
run.
They'll
put
us
here
and
we'll
see
what
we
can
find,
so
you
may
have
heard
a
dog
matter.
Direct
action
is
also
known
as
underground
science.
B
So
you
have
this
massive
mile-long
shield
of
rock
and
when
you
go
on
the
ground
and
you
extend
your
hand
again,
you're
going
to
get
one
per
month,
you're
going
to
wait
for
a
month
or
two
or
three
months
until
something
hits
your
hand,
so
that
makes
the
these
low
energy
rare
event
search
as
possible.
If
we
use
our
detector
here
on
the
surface
which
actually
we
did
it
for
calibrations,
it
is
the
shower
of
high-energy
particles
all
over
the
place.
B
We
cannot
see
anything
about
that
background,
we're
very
lucky
to
have
a
fantastic
facility
here
in
the
US.
It's
in
state
of
South
Dakota
right
here
and
here's
an
aerial
view
from
a
Cessna
here
is
the
local
color,
the
headframe,
the
shaft.
That
takes
you
a
mile
down
too
well
much
much
further
down
than
if
the
frame
can
can
see.
You
can
show
you.
This
is
really
one
mile
of
cable
that
just
unroll.
I
wish
I
had
a
video
to
show
you
what
is
quite
quite
remarkable.
B
B
C
B
Here's
a
Davis
cavern,
it
was
literally
a
hole
in
the
ground
in
2011,
late
2011.
This
is
called
eager,
grad
students.
This
is
to
be
written,
my
mind,
one
of
them,
and
this
is
a
year
later,
exactly
a
year
later,
these
go
bc,
grad
students.
This
is
a
laboratory
space.
All
finished
up
polished.
The
detector
is
inside
this
water
tank
under
our
feet,
all
instrumentation
in
and
ready
to
take
data.
B
B
C
B
B
These
are
photo
detectors,
so
whenever
a
cosmic
ray
particle
goes
through,
it
will
give
off
light
of
share
Inc,
apply
the
same
principle
detection
as
ice
cube
and
you
can
detect
those
and
veto
the
system.
So
you
don't
take
data
during
that
time,
because
you
can
produce
neutrons
that
mimic
dark
matter,
particles,
okay,
so
here's
how
the
detector
works-
and
you
know
I'll
tell
you
more
about
our
data
and
computation.
That's
yes,
minus
100!
All
that
the
water
is
room.
Temperature
and
xenon
is
minus
100
Celsius.
B
That's
a
silly
question:
I
think
it's
a
few
degrees
above
regular
that
the
rock
temperature
is
much
hotter,
but
they
have
a
huge
ventilation
system
that
keeps
it
just
a
little
about
room
temperature
I
forget
what
the
rock
temperature
is,
but
you
can
you
can
notice.
It
is
different,
warm
as
you
keep
going
down
down.
It
keeps
water
warmer.
B
So
here's
how
the
sec
detector
works.
You
have
the
you
know
you
can
almost
Hoggett
is
about
this
Vegas.
It's
a
big
vat
of
liquid
xenon,
so
a
meter
in
both
directions
and
you
liquefy
the
scene
on
here's,
a
liquid
level.
You
put
photomultiplier
tubes
that
there
are
photo
detectors,
they're,
going
to
take
a
single
particle
of
light
and
they're
very
sensitive
devices,
so
you
put
61
at
the
top
61
at
the
bottom
and
then
you
put
an
electric
field
with
grids.
B
We
call
that
the
s1
signal
and
then
the
electron
signal
it's
going
to
propagate
in
the
electric
field
at
a
very
or
relatively
fast
speed,
and
then
it's
going
to
jump
from
the
liquid
into
the
gas
and
in
the
gas
is
going
to
glow.
Like
one
of
those
neon
signs,
it's
called
electro,
luminescence,
okay,
and
that's
going
to
give
you
a
much
bigger
signal,
so
a
pair
of
an
s2
which
is
the
electron
signal
and
then,
as
one
is
one
event
and
the
delta
T
between
them,
the
time
equals
Z.
So
more
time
is
deeper.
B
Less
time
is
higher,
ok
and
then,
with
the
heat
pattern,
the
the
neon
light.
If
I
may,
the
electroluminescent
light
is
very
close
to
the
topper
rate.
So
it's
going
to
give
you
a
hotspot
that
gives
you
X
Y,
so
we
have
X
Y
Z
for
every
particle
in
the
detector
is
very
powerful
because
most
of
our
backgrounds
are
going
to
stop
at
a
surface.
The
skin
of
the
scene
on
that
and
dark
matter
is
not
going
to
care,
is
just
going
to
go
in
and
interact
if
at
all
in
our
detector.
B
So
we
can
pick
a
virtual
volume
inside
what
we're
looking
for
a
dark
matter
and
most
of
our
backgrounds
are
going
to
be
indeed
in
the
outside.
So
here's
the
locks
collaboration.
This
was
just
before
we
release
her
first
results.
Last
year,
vicki
was
around.
You
probably
say
that
to
us,
so
here's
just
highlighting
some
people.
B
B
B
We
made
the
top
of
the
Google
News
science,
which
is
aggregated,
which
means
there's
a
lot
of
references
to
it,
which
is
good
Forbes
and
the
economist
I'm
not
putting
the
new
york
times.
If
you
read
it,
you
know
why,
and-
and
this
was
a
good
time
for
the
experiment-
and
this
is
a
result-
a
lot
of
work
put
into
drawing
a
line
in
this
parameter
space.
But
this
is
quite
powerful.
Here's
the
mass
of
the
dark
matter
in
GV,
here's,
ten
hundred
thousand-
we
don't
know
what
it
is.
B
You
can
see
that
we
have
no
idea
what
we're
doing,
because
you
spend
so
many
orders
of
magnitude,
but
here's
a
probability
of
interaction
again
the
cross-section
and
you
can
see
this
was
the
state-of-the-art
in
2012
2011
2010
so
on,
and
we
just
surpassed
it
by
a
good
factor.
Factor
of
three
factor
of
two
down
here:
low
mass
is
there
were
some
contour
plots
strong
that
you
can
see.
These
are
signal
people
saying
we
found
our
matter.
Some
of
them
don't
say
it
very
loudly,
but
that
is
that
is
the
implicit
assumption.
B
When
somebody
draws
a
parameter
space
blog
saying
there
is
something
here
we
rule
those
out
quite
robustly.
We've
been
saying
that
for
a
while
that
those
don't
seem
like
signal
in
our
new
run,
we're
probably
going
to
go
even
even
deeper,
but
we're
very
happy
with
this
result
unhappy
that
we
didn't
find
out
matter,
but
at
least
we
can
say
something
about
this.
All
of
these
claims
that
have
been
dubious
at
best.
I
think,
okay,
so
let's
data
this
is
this
is
a
part
of
Tyson
asked,
so
we.
B
Data-
this
is
what
the
data
looks
like
again.
This
is
the
s-1
and
the
s2
separated
in
channel
number
going
from
1
through
122.
We
have
122
photomultiplier
tubes
channels
and
the
data
is
very
sparse,
but
there's
also
a
lot
of
data
I'm,
not
doing
justice
here
to
the
amount
of
data
that
we've
been
collecting.
B
We
collect
every
pulse,
we
don't
trigger.
We
just
collect
every
pulse
that
our
detector
gives
out,
and
you
had
that
gives
you
a
lot
of
information.
Then
offline.
We
chunk
it
into
events
like
this
one,
where
there's
an
it's
one
and
under
stew,
and
then
we
do
analysis
with
that.
So
we
have
this,
keep
everything
find
anything
model
we
we
want
to
have
high
efficiency
with.
One
of
me
is
dark
matter.
B
If
it
turns
out
that
our
theories
have
this
great
idea
and
we
could
only
go
back
and
take
that
data
again
with
a
different
trigger.
So
so
we
have
an
offline
trigger.
We
don't
throw
any
day
that
way,
none
whatsoever.
So
in
85
days
we
acquire
50
terabytes
of
waveforms.
This
is
compressed
data
when
you
blow
it
out
there.
So
there's
a
big
factor
there
and
and
reduce
quantities
which
is
derived
values
based
on
this.
What
forms
of
25
petabytes
this
you
know
compared
to
some
of
the
bigger
experiments.
B
This
may
not
seem
like
a
lot,
but
we
do
keep
everything
we
want
to
find
anything.
So
it's
a
rare
event,
search
we're
looking
for
wind
dark
matter,
but
we're
also
looking
for
a
lot
of
different
things.
There's
action
dark
matter.
There
is
inelastic,
dark
matter.
Double
beta
decay
in
the
bigger
detectors,
coherent,
Audrina
scattering
in
our
next
phase
and
many
many
detector
calibrations.
B
So
we
have
data
processing
chain
that
we
developed
it
takes
this,
this
time,
series
data
and
spatial
data
and
gives
you
you
know
the
energy
reconstruction
for
each
event,
the
number
of
electrons
and
photons
position
height
with
symmetry,
a
lot
of
digital
filtering,
that
we
do
the
quality
of
the
poles
and
we
call
those
reduce
quantities
or
our
cues.
So
this
is
what
we
do
data
analysis
with,
but
at
the
other
day
you
always
want
to
go
back
to
this
and
make
sure
that
the
event
made
sense.
You
just
want
to
look
at
the
event.
B
Now
I
just
want
to
say
that
we
also
do
monte
carlo
simulation
output.
Excuse
me
that
also
gives
you
this
sort
of
data.
We
can
model
the
data
from
the
detector
directly.
It
gives
you
waveforms
and
we
run
those
through
the
data
processing
chain
as
well,
and
just
to
give
you
an
idea
how
rare
the
event
searches.
This
is
all
the
triggers
again.
We
don't
throw
any
of
the
non
triggers
away,
but
after
the
data
is
being
collected.
B
This
is
these
are
the
things
that
passed
some
triggering
scheme
for
the
electron
signal,
and
we
collected
in
85
days,
83
84
million,
when
you
start
doing
some
cuts
for
a
particular
data
analysis
such
as
the
wimp
dark
matter.
You
pick
some
energy
ranges
so
that
really
cuts
down.
You
know
20,000,
and
then
you
pick
the
fiducial
volume,
the
inner
region
that
I
spoke
to
you
about
in
the
detector
and
that
really
cuts
down
260
events
and
out
of
160.
B
B
So
here
are
the
resources
that
we're
starting
to
use
we're
starting
to
use
carver
for
our
data
processing.
We
got
an
award
for
data-intensive
pilot
program,
those
those
great
for
us.
We
can
get
started
with
this
award.
We're
going
to
do
all
the
data
processing
in
simulations
here
in
carver
and
pursue
also
independently
PD
SF
node
acquisition.
B
Okay,
and
just
to
tell
you
about
two
exciting
projects
that
we're
pushing
ahead
here
at
risk.
We
want
to
evaluate
potentially
use
idvd
for
data
analysis.
We
think
this
is
really
going
to
take
the
locks
data
analysis
to
a
whole
new
level
if
it
works
the
way
we
wanted
to
and
and
then
an
online
event
viewer.
B
So
so
here
is
the
file
system.
Analysis
model
that
we're
using
right.
Now
that
pretty
much
sums
it
up
for
you
that
that
sums
it
up
alright
file
system
based
analysis
is
very
difficult
for,
for
data
managing
purposes
to
find
anything,
it's
just
very
difficult.
It's
slow
because
you
have
to
go.
You
know
for
every
file
and
the
analysis.
Results
are
not
easily
replicated
the
code,
listen
song
POSIX
computer,
and
he
did
the
analysis
many
years
ago.
Can
you
redo?
It
well
have
to
go
through
all
the
data
etc.
B
So
we
we
don't
believe
that
this
is
a
model,
that's
going
to
that's
going
to
be
best
suited
for
our
needs.
I
think
this
is
sometimes
I
feel
like
this.
If
you
read
this
this
XKCD,
you
know
this
meadow
rectangle
full
of
little
lights.
Yep.
It's
been
most
of
my
life
pressing
buttons
to
make
the
pattern
of
light.
Change,
however,
want
okay
sounds
good,
but
the
way
the
pattern
of
light
is
all
wrong.
Oh
god
repressing
more
buttons,
so
it
just
doesn't
feel
like
the
file
system.
B
Bonnell
is
the
way
to
go
so
we're
trying
to
decide
to
be
it's
a
massive
database.
It
has
native,
are
a
support,
so
this
is
what
we
what
we
use
for
all
of
these
reduced
quantities.
It's
a
parallel
data
access
share,
nothing!
So
here's
our
data,
here's
chunks
of
data
that
you're
going
to
assign
two
different
notes
and
when
you
want
to
add
something
it
just
gives
it
back
to
you
in
parallel,
and
you
can
do
regret
operations,
you
can
do
many.
B
Many
operations
are
very
very
useful,
so
we
want
to
evaluate
that
right
now,
we're
dumping
all
of
the
data
into
sci
baby
in
a
start-up
account
and
see
how
how
well
that
works
for
us
and
also,
if
you
want
to
look
at
an
event.
Let's
say
you
have
all
these
are
cues
and
you
have
them
plotted.
You
have
all
these
little
dots
in
this
on
the
screen
and
you
want
to
say,
I
want
to
see
that
event
right
there.
That
little
thought
show
me
the
waveform.
Well,
you
have
to
look
at
the
event.
B
B
C
D
B
I,
don't
have
to
get
the
data
I,
don't
know
where
it
is
I,
don't
have
to
know
where
it
is
I
just
know
the
event
numbers
and
I
want
to
plot
them
or
I
mean
a
data
analysis
session
right
here
in
inside
EV.
Just
show
them
to
me
just
plotter
right
there,
while
I'm
doing
analysis,
so
these
two
pathways
were
for
event.
Viewing
are
going
to
be
very
powerful
and
reduce
the
amount
of
time
we
spend
trying
to
get
the
visualization,
ok
and
just
want
to
tell
you
about
the
next
stage.
B
They
have
a
Dark
Matter
detector,
just
like
ours,
we're
merging
the
collaborations
to
make
what's
called
the
LZ
detector,
and
this
is
lux
370
kilograms
of
scene
on
and
just
to
give
you
a
sense
of
scale.
This
is
LZ
the
big
brother
of
Lux
and
Zeppelin.
It's
going
to
be
seven
tons.
This
is
metric
tons
level
in
with
liquid
xenon.
You
know
three
times
four
times
as
many
channels
and
we
can
have
a
lot
more
data
surface.
C
B
C
B
And
here's
the
summary
so
luxe
is
running.
We
want
to
keep
everything
find
anything
we
collect
every
pose
and
then
do
many
different
analysis
to
see
to
see
different
topologies
we're
starting
a
new
Dark
Matter
search
very
soon.
We
expect
over
200
terabytes
of
raw
data
simulation
and
with
these
quantities
we're
starting
to
use
norsk.
All
of
these
resources
are
fantastic:
Carver,
pts,
FG,
pfsh,
PSS
and
Global's
fur
for
data
and
computation,
and
we're
evaluating
some
of
these
massive
parallel
databases
for
data
analysis.
Thank
you.
D
B
High
energy
and
Dark
Matter
very,
very
low
energy,
so
we
have
a
very
low
background
detector
at
low
energies
for
these
kind
of
searches
yeah,
it's
a
different
energy
scale.
Eventually
we're
going
to
be
thwarted
by
neutrinos
when
we
get
very,
very
sensitive,
we're
going
to
start
seeing
the
low-energy
neutrino
interactions.
Well,
that's!
Maybe,
ten
years
down
the
road.