Astro on Tap 6/28: Crowdsourcing the Hunt for Nearby Worlds
Watch on YouTubeVideo summary
Dr. Eric Meister, an astronomer at NASA's Infrared Telescope Facility (formerly NSF's NOIRLab), presents his work on crowdsourcing the search for nearby worlds in our solar neighborhood. He begins by contextualizing humanity's long history of searching for undiscovered planets within our own solar system, noting that while Neptune was found via mathematical prediction, subsequent attempts to locate "Planet Nine" or other distant bodies have often failed despite generating significant public interest and social media buzz. The search focuses on the cold outer reaches of the solar system where objects like brown dwarfs—massive entities between planets and stars—and potential giant planets reside; these objects emit primarily in infrared light, making them invisible to traditional optical telescopes but detectable by modern instruments like NASA's Wide-field Infrared Survey Explorer (WISE).
To overcome the limitations of ground-based observation caused by Earth's atmosphere and daylight, WISE orbits at high altitudes on a polar trajectory that allows it to scan the entire sky continuously in infrared wavelengths. This capability has revolutionized our view of the cosmos, revealing thousands of new brown dwarfs and planetary-mass objects within just four light-years of us, such as those orbiting Barnard's Star or discovered recently by WISE surveys. Historically, astronomers relied on photographic plates and blink comparators to spot moving dots against static backgrounds, a method that required immense patience and physical effort. Today, this process has evolved into the era of citizen science, where massive datasets are made available online for volunteers worldwide to inspect without needing specialized equipment or formal training in astronomy.
Meister highlights his project, Backyard Worlds: Planet Nine, which leverages human intuition to find anomalies that automated algorithms might miss, such as weirdly moving brown dwarfs or companions to iron mask stars. Since its launch in 2017, the project has engaged over 200,000 unique participants from diverse backgrounds—including high school students and retired engineers—who have collectively discovered thousands of new objects. The community aspect is vital; weekly calls connect these volunteers with professional astronomers, fostering a collaborative environment where discoveries made by amateurs are followed up using some of the world's most powerful telescopes like Hubble or JWST. A notable example involves an object nicknamed "The Accident," which was spotted while its discoverer was playing video games and subsequently secured observation time on the James Webb Space Telescope to investigate whether it is a local brown dwarf or perhaps a visitor from another galaxy.
Looking toward the future, Meister discusses how his team integrates machine learning with citizen science through their new initiative, Backyard Worlds: Cool Neighbors, which uses AI to pre-select interesting targets for volunteers while maintaining human oversight for classification tasks. He addresses common questions regarding the existence of Planet Nine and the feasibility of detecting such objects near spacecraft like Voyager, explaining that theoretical models constrain these hypothetical planets to distances far beyond current probes due to brightness limits. Despite challenges from satellite constellations like Starlink cluttering ground-based images, WISE's space-based vantage point provides a cleaner dataset for infrared astronomy. Ultimately, Meister concludes by emphasizing the unique synergy between artificial intelligence and human curiosity, proving that distributing small tasks among enthusiastic global volunteers can yield profound scientific breakthroughs while engaging the public in real-time discovery.
Read the full video transcript
um but for now I'm about to Welcome to
the stage Dr Eric Meister uh Aaron is a
an astronomer at nsf's uh National
Optical infrared astronomy lab he was
also a NASA and then this lab or is the
national public
he graduated from Harvard University
with his PhD and uh before that I'm
fully we went to Stanford if his website
is correct
so Aaron it's great to be smart
we should all listen to him
so yeah I'm an astronomer at this
institution called NSS door lab based in
Tucson Arizona where you can think of it
essentially as like the U.S national
Observatory for ground-based possible
infrared astronomy so we manage a lot of
the telescopes for the U.S astronomy
Community some examples being like the
big 8.1 entertainment telescopes that
are in Hawaii
so today I'll be telling you about my
work uh crowdsourcing the hunt for
nearby worlds
it is to jump right in uh one of the
most mindless quests in the history of
all of astronomy is to theorize and then
go out and look for potential new
planets in the very far regions of our
own and outer solar system
so there's a long long history of this
we may invert terms like planet nine
Planet X before type 2 Nemesis there's
been all kinds of variants of this
uh but actually Neptune was discovered
in 1846 is the only planet in the solar
system that has ever been found by a
correct mathematical prediction so
historically people who have tried to
make these predictions have ended the
falling flat even though in today's day
and age it generates a lot of
hydrogenerates a lot of social media of
us
uh and so you know for example which by
now we call it a war planet right not a
through Planet it's not a nice planet
anymore we only have eight uh so Pluto
was actually a chance discovery made in
1930 by Playa Tombaugh and it was based
on quality predictions that other people
have been making about a large planet
far out in the solar system so even
though they didn't have the right
prediction they kind of led to a nice
outcome
but nevertheless despite this bad
history of making wrong predictions
about potentially plants in the solar
system some people keep trying and so
one of the most notable recent examples
of this is how these two guys shown here
who are Caltech professors Mike Brown
who's also known on social media video
Killers we like certainly uh this whole
controversy about whether Pluto should
be a planet but he also kind of likes to
take credit for the fact that in 2006 uh
the iau demoted we got a promo planet to
when you're dwarf planet and now now
just sort of rub it in he's got a new
Theory which says that Not only was uh
Pluto not the ninth planet but now I got
a new prediction of what the real life
planet is which is not Pluto would be
something more like uh Neptune but about
20 times further away than Neptune so
like I think about like a thousand times
further away from the Sun than the Earth
is
then the other hypothesis which there's
different terminology out there but I
call it Planet X and you can think of
something like Jupiter or Saturn so a
much larger Planet but much further away
so think of Jupiter about like five
thousand times further away so this
would be something like 25 000 to 50 000
times further away from the Sun than the
Earth is and one thing to note about
these is that both of these would be in
the cold outer regions of our solar
system which influences the way that we
need to go about using astronomical data
to serve them if you'd like to
the other thing I'll mention briefly
about the Planet X scenario is that
actually it's not entirely ruled out
that the object in the outer solar
system instead of being like Jupiter it
could actually be bigger it could
actually be in between the largest uh
Jupiter like planets and the smallest
red four stars and so we call those
objects ground horse and I'll talk about
those a lot throughout the rest of this
talk
so again as I said in the outer regions
of the solar system everything is really
cold and that strongly influences the
way that we have to go about searching
for these hypothetical objects
uh in the outer solar system when we use
real telescope data so stars like our
sun they're very bright and they're
pretty hot you know thousands of Kelvin
is the temperature and so that makes
them readily visible in Optical or in
the visible light which historically
over the centuries has been what people
have searched in when they make a
telescope right it's much easier to make
a telescope that gets uh Optical light
like the sunlight we see as opposed to
infrared light which is only very
recently that we've got the touch
detectors to be sensitive to that and
also it helps a lot to be in outer space
uh when you're in the infrared because
of the Earth's atmosphere so basically
what this slide is showing is just that
there's a Continuum from regular old
main sequence stars like the sun all the
way down to planets like Jupiter and in
between the largest planets and the
smallest Reservoir stars all these
objects that we call Brown dwarfs and so
at the ground dwarf it's a free-floating
planet or Jupiter like planet and here
they these objects emit almost all of
their life in the infrared
ironically uh Brown dwarfs Brown in the
u9 which I don't know if you can see it
but they would look more purple as shown
here
so yeah in the recent years particularly
the past decade there's been sort of a
revolution in our ability to look at the
infrared universe and it comes mainly
from this NASA Space Telescope called
why sets in low earth orbit and so every
90 minutes wise makes an orbit around a
tire it's in the polar orbit and it's on
What's called the Terminator of the
Earth but it's like the day night line
and it looks directly out from the earth
so by doing that it can actually observe
all the time 24 hours a day it doesn't
really have like kind of observing in
the daytime for not observing
unlike observatories that are on the
Earth
and so you can see that as this
telescope orbits the earth and as the
Earth orbits the sun it will gradually
sweep out these large circles on the sky
and so every six months wise yeah as you
can see here it's scanning these stripes
on the sky which will eventually fill in
the whole thing so every six months
during which this wise National
telescope is operational you get another
full Sky Map in this three to five
Micron weight of length range you can
think of that as being wavelengths like
10 times longer than the visible light
that we mostly get from the Sun
so wise has really given us a
dramatically better picture of the
infrared universe that you can never do
before and this has opened up a rolling
around the possibilities as far as
searching for cold and potentially
engaged by neighbors to the sun like
ground dorms or even uh Jupiter like
planets in the very far regions of our
solar system
here's a plot of the sun's very nearest
neighbors so I would guess that's some
folks here have heard of at least some
of these uh for example Barnard star is
one of the closest Stars it's a red
dwarf it was discovered in 1916.
uh and then of course there's
approximate a Centauri system there's
various proximatives within that system
but that's actually the closest known
star or brown dwarf system to us
something like four light years away
and again that was discovered the
components of that were discovered in
the early 1900s or even early mid 1800s
but then the only other things that
we've been able to populate this diagram
was so far our very recent discoveries
from the past five or ten years that
came specifically from this NASA wise
infrared data set so there's this wise
and wait by five discovered in 2014 and
there's this wise 1049 discovered in
2013 and these are now I believe the
third and fourth closest known systems
in the Sun so they were kind of like
historic discoveries because it's been a
century since anyone had discovered
anything this close uh to our own solar
system so it's really a remarkable
illustration of the fact that by looking
at this new infrared wavelength range
you've been totally open up a new
discovery space and see things that were
previously invisible even though they're
super close to us by astronomical
support
so I don't know how well this is going
to show but this is an illustration of
one of the techniques the primary
technique says use historically and to
this day to search for nearby planets
and nearby brown horse in the sun's
local Cosmic neighborhood which you call
the solar neighborhood
and the basic idea is that everything in
the universe is moving to some extent
relative to us but stuff that's much
closer to us appears to move faster
right so like if you were to displace an
object that's close to you by someone
out okay you see it move a lot but it
was a football field away from you or
something like that you might not even
notice and that's the exact same
principle we use here and it's the same
principle that or example applied
Tomball use that something that's moving
past across the sky it must be nearby
and therefore it must be something
interesting like a planet dwarf planet
maybe around North
so yeah this is exactly what I'm talking
about when I say finding nearby Worlds
the old-fashioned way this is an example
of what part aren't star which I just
mentioned it's a very near environmental
work looks like so you can see that from
the 1985 to I think 2005 time period it
moves a lot relative to all the other
objects in this field which are the
white dots and they're just sitting
there basically doing nothing right and
so that's a really effective way of
selecting things in huge astronomical
it's kind of huge astronomical databases
that are close to us
then yeah this is going to be especially
challenging given the lighting situation
uh but this is a the actual discovery
images that flight combo I needed to
discover Pluto and you can maybe see
that there's two arrows here that uh
point to the different positions over
the course of like a week and it moved
quite a bit relative to all the
background stars and galaxies which are
just saying fits let's see if
is this any easier to see so yeah so
partially is just proving my point which
is that it's a lot easier to see these
things in an animated movie fashion got
an event trying to stare at a bunch of
pictures and so the way this was done
historically in astronomy was something
called a blink comparator which this is
treatment users right so you have uh
some photographic plates that you're
looking at and they're loaded into some
machine you click a button that switches
between two or potentially more and then
and that's a really effective way of uh
finding things that move or finding
things that change it's like those you
know online advertisements or whatever
it's like finding six differences in the
skin and Out restaurant between uh these
two pictures and they like remove the
sign but you couldn't see it if you were
just looking side by side and I'm going
to be playing it's super obvious what
change
so by nowadays we don't necessarily need
to use that type of technology which is
kind of antiquated I don't think I've
ever used a blue comparator actually has
a look up to date how it works so I was
kind of confused
um but what we do now is all
computerized it's all online right we
have these massive databases of image
catalogs from Modern telescopes and so
I like to think of this as going from
amateur astronomy that's based in
backyard observatories versus going to
amateur astronomy that's based on
internet and online data now so one
example going back to the 90s I used to
like putting this in my talks when I was
in Arizona because uh Thomas Bob was an
amateur astronomer who discovered the
comment panel box covered it in 1995. uh
there's probably not many good amateurs
genre examples from Seattle just given
the weather here so I didn't even try it
I'm originally from Belgium by the way
so I don't know if it's a good thing or
anything contest
so yeah nowadays
you can still do that but there's a high
barrier to entry right because it's not
every person who can set up a backyard
telescope and have all this Machinery
all this equipment and fine-tune it and
pay all those expenses and devote all
this time so we think that a sort of in
some ways better and a more inclusive
way of doing this is online and so
there's different terms for this citizen
science Community science crowdsource
science participatory science this one
says people-powered research but the
idea is just to put lots of your data
online and then let let anyone look at
it they don't need to have any
particular background you need to be
reusing formal education and astronomy
and one popular platform for this is
called the universe which is what we use
to launch our citizen science projects
it has all kinds of citizens and science
projects on there on this universe like
you know ranging from like marine
biology and genetics and history to
astronomy so it's quite a range if
you're interested
so yeah one thing we've seen in this new
like data driven and online driven era
of astronomy is that there's a real huge
value in mining these massive data sets
through a combination of different
techniques of course we do things like
use supercomputers and machine learning
but then
the citizen science human element also
comes in and plays a very unique role in
my opinion and one of those unique roles
is to find really weird outlier objects
that for example you might not have
trained your algorithms to find in the
first place and so this one which may be
hard to see is Handy's forward I'm sure
I'm bouncing that wrong uh but it's
covered by Hanny van Arco who is a
science teacher I believe in Netherlands
and it's sort of like a new class of
active Galaxy that never been seen
before so this is an example of
discovering weird and new things uh that
you maybe couldn't have done without the
human element involved another one that
you may have heard of is called Tabby
star it was also referred to in the
press as the WTF star where's the flux
but it has this really
weird totally unprecedented like or or
lighter means how bright it is is a
function of time and several astronomers
were quick to point out that this looks
exactly like what you might guess you
would see if you had some sort of alien
megastructure around uh star so it was
big in the the whole setting you realm
terrestrial intelligence because of that
it has turned out to be more favored to
be some sort of natural phenomenon more
like dust can certainly the star but
nevertheless it's a great example of
like a totally new field of research
that was opened up by crowdsourcing uh
the inspection of these large astronomy
data sets
so yeah that brings me to the astronomy
project that uh the astronomy citizen
science project that I co-founded uh
back in 2017 which was called backyard
worlds Napoleon's Backyard World school
and planet nine so the idea is that we
take all this huge volume of massive
data from the wise telescope that I
mentioned again it's about like it's on
the order of attention to data billions
of dollars and galaxies in it in total
so there's lots of mine lots to look at
and we basically just take that data
online in the form of maps uh we give it
to people to sign up and look at and
they look for things that move just like
quiet Tomball for Pluto well he was
really looking for a planet but you can
also available through things that move
so this is like a promotional video that
we have for our backup rules project uh
you can see that it's shown in the
context here so you have the planets
which you probably know pretty well uh
Pluto within there I believe uh but then
astronomers think there's now this new
ninth planet planet nine as I mentioned
which is way way further out in the
outer solar system it'll be showing here
in a second yeah so planet nine is way
way out in the solar system
uh as it says no one knows the exact
position or Master size which is why we
need to do this type of crowd starts to
approach using big data because we want
to scour the entire Sky we don't really
have a firm prediction of where exactly
we need to look like they did uh in the
case of Neptune
and then now we're going even further
out we want to explore the territory
beyond the solar system as I've
mentioned it's going to get into the
part about uh Brown dwarfs that may be
very cold and nearby working in our own
solar neighborhood
relatively speaking with these are a
recent discovery so I mean stars have
been known for 19 000 years at least uh
but round horse have only been known
since 1995 in the sense of the first
quarter once protected there uh as it
said why have spacecraft has led the
discovery of two special relators with
the exact same ones they talked about
before y0855 and why 1049 also known in
16 a b so these are very very nearby
themselves this is showing kind of like
the three-dimensional view of the these
objects in the Solar neighborhood
it's maintenance now to denounce the
data that we're showing in the backyard
worlds project where we're blinking
these time series images of a fixed
point on the sky looking for things
that are extending nearby and we joined
some of the nearest known stars like
Bernard stocks it's kind of like a
three-dimensional view of the two
dimensional texture earlier
so yeah I just wanted to go into a
little bit about how this product has
gone it's been really fun after that I
was skeptical at first because I was
like well I have access to some
computers I can write code like surely I
can just discover all the stuff on my
own uh but it hasn't turned out that way
and all the stuff we've discovered I I
wouldn't have found it on my own I
didn't find it on my own uh before the
volunteers did it's just been really
productive both scientifically and from
the sort of public engagement standpoint
we have about 80 000 registered users we
think that we have about 200 000 unique
participants who have contributed to the
project at some level because you don't
actually need to register to participate
um one of diversity backgrounds in terms
of the people who contribute they range
from like high school students college
students retired Engineers stay-at-home
parents uh you name it and there's also
a lot of geographic diversity so yeah
people from all over the world I believe
at one time they're Google analytics and
found something like 167 countries
represented all 50 United States Plus
Puerto Rico and DC
one thing that we've tried really hard
to do is to sort of build a community
Beyond just dumping data online and
telling people to look at it right so
we've taken a lot of effort to identify
what we call our super users or our
Advanced users who are really engaged
make really big disproportionate
contributions uh relative to someone who
just comes and uh puts a few things one
time and doesn't return
so what we've done is that we have these
weekly science team calls the backyard
worlds where they're on something like
Zoom or I think in this case Google
Hangouts and every week we invite all
300 of our super users who are generally
not professional scientists not
professional astronomers to join our
calls and this was a really fun moment
when we sort of realized that David here
was calling in from his uh High School
library at lunch period which I thought
was awesome because I don't know what I
was doing during lunch time in high
school but it definitely wasn't being on
a telecon of a professional NASA
so yeah just to give a flavor of what
we're looking at when we make these
discoveries we've had a lot of success
discovering new groundworks near the sun
we haven't
discovered a planet nine or Planet X I
think you can take that as a given
otherwise it probably would have been
some sort of news story uh but this is
what we're looking at and you can see
basically that this is the wise data
most objects look this normalish plain
color black those are normal stars and
galaxies uh but in the middle in each of
these you can see that there's something
moving around so it's not static and it
also has maybe you can see this a sort
of reddish orange color to it and that
indicates that it's very cold and that
gives us a clue that it's a brown dwarf
rather than a normal main sequence star
the other really fun thing we've been
discovering a lot of in this project is
what we call what we call companions to
Iron Mask Stars so you can kind of think
of this as like a planet scenario so
it's like an oversized version of
Jupiter but orbiting a nearby star at in
this case hundreds or thousands of maybe
unfortunately it can't read the labels
but these are all uh kind of in the 400
to 1500 Au range in terms of the
separation from the hostar so what that
means is that these objects are kind of
like a thousand times further out from
their host star than the Earth is from
the Sun and they're kind of Jupiter
alike but even bigger and so I like to
think about this as you know we're kind
of seeing the Planet X scenario play out
not in our own solar system but in
nearby systems so that's kind of the
next best thing and I think it's really
cool uh to be able to see these obvious
and there's kind of like an odd
satisfaction you've just seen the two
objects in the field of view like moving
together
so hopefully this shows up well but just
to say we discovered something like 400
sorry 4000 uh new ground horse have been
discovered by our volunteers since we
launched in 2017 which comes out to
about 1.7 groundwork discoveries per day
on average this is a 3D rendering of all
the ground doors we discovered and again
since since because of the fact that we
detect them based on their emotions
that's how we discover them uh we know
how they're moving through space and so
what we can do here is speed up their
evolution over time by huge Factor so
you're when you see these things move
that's you're seeing millions of years
play out in seconds but what we can do
is given that we know their emotions
from Discovery and then we can predict
how they will disperse all throughout
the Milky Way galaxy over time which I
think is super cool uh to look at and
visualize
here's another visual of our Discovery
so this time we're zooming in on the
Milky Way from outside of it so the sun
isn't right in the center of the Milky
Way right it's in some outer spiral arm
or some general outer area and now we're
zooming into the solar neighborhood uh
coming in from above and playing in the
Milky Way galaxy and we're seeing the
same street view rendering of all our or
at least some subset of our backyard
what's ground dwarf discoveries rendered
in 3D unfortunately this one doesn't uh
way in emotions I believe but
nevertheless you're seeing the 3D
positions of like millions of stars here
as well that come from various modern
astronomical catalogs and then here we
reach the solenoid where you see the
Backyard World of Citizen scientists to
stay on the reads link 3D
well another really fun part of backyard
worlds is that it's a real kick for a
lot of our volunteers when they get the
opportunity to have one of their
discoveries followed up with one of the
biggest telescopes in the world over in
space and so
we've had a lot of success at getting
our ground North discovered by a members
of the general public observed by some
of the biggest and best telescopes in
space and on the ground examples being
the Gemini eight meter telescopes both
in Hawaii and Chile uh the blanco four
meter telescope in Chile and NASA irtf
telescope uh in Hawaii we've even had uh
citizen science discoveries from
backyard worlds that have been observed
by Hubble space telescopes picture Space
Telescope which are of course Geo NASA's
creative territories and then most
recently we have had some success at
getting our citizen scientists discover
ground observed with jwst which
is awesome because dwc is kind of all
the rage nowadays in new strong in the
community and also in the popular
astronomy press
so yeah I just wanted to
somewhat good I think I have a couple
more slides but I did want to mention
one of our best discoveries that is now
soon slated to be observed by jwst and
it fits in with the theme from the tour
about how Pluto was discovered
accidentally when looking for what they
thought was something else that was
going to be there and so sometimes the
best discoveries happen by accident and
this is one case
I'm guessing given the lighting no one
can see the objects but we had a
we have a very talented citizen
scientist in the tech industry who likes
running his own machine learning
algorithms on the full Sky Maps all the
pixels all of that and he thought he had
a really nice brown dwarf candidate
right in the center of this picture here
uh and it turned out he was wrong
but there is
um value you can see it
right along the bottom corner there
there is a moving object which is
extremely pain moving extremely fast by
astronomical standards and we nicknamed
this well actually the discoverer
nicknamed it the accident uh and it is a
technical term that's been used on the
literature by now uh so the text here
says dan cast this is from an article on
Quantum magazine Dan Castleton was up
late on November 3rd 2018 playing the
video game Counter-Strike when he made
astronomy history every time he died he
would jump on his laptop to check in on
an automated search he was running a
NASA Space Telescope images so
it just goes to show you that by having
a lot of eyes on the data you can
discover School cool stuff and so for
the upcoming jwst cycle that runs from
this summer to next summer we did get
allocated about eight hours of James
Wood time to specifically look at this
object so I think it's a great story in
that it's it's scientifically important
but it's also cool to think that
something that a member of the general
public discovered is now being observed
by jwst
just to try to preempt uh questions that
I may get what about artificial
intelligence right like why can't we
just do this all with machine learning
with chat GPT googlebard Etc
and I think the narrative that I would
like to pitch is we can't ignore Ai and
machine learning right those are coming
down the pipe they're pretty impressive
already but I think that Ai and citizen
science can be complementary so for
instance supervised machine learning
often needs large what we call training
data sets large samples for that and
that can be provided uh for example one
way of doing it is to be crowdsourcing
uh the human inspection components where
you can do a lot more in a much shorter
time by Distributing small amounts of
work to a lot of people who are
enthusiastic rather than trying to do it
all with a small group of professionals
uh so in my last slide I want to mention
that yesterday we just launched a new uh
spin-off citizen science project at
backyard rules called backyard World
School neighbors uh and the idea is to
kind of merge in the machine learning
part with the citizen Science Park so
we're using machine learning to optimize
what is what is showed to the volunteers
and you can join anyone can join I would
encourage it you just have to visit uh
coolenambers.org uh that's our logo so
all you did that thank you
you know
can you try and take a few questions
I can't take I can't take this light to
someone right you just have to talk loud
like me
we're not sure it's okay it's totally
what we do know is it's totally unlike
any other you know own star or white
dwarf or brown orb
uh we think it's a very ancient round or
so in astronomy terms we just call this
low metallicity uh so it has a
relatively low amount of heavy elements
in his atmosphere
so it could also potentially be that
it's just low metallicity and it's in
what we call the Milky Way Halo which is
kind of the most ancient part as
compared to the disc right near bias
which is younger
uh the other possibility that was more
speculative but we did kind of quote it
when we were asking for gwst time is
that it could be weird because it's like
essentially visiting from another galaxy
so the Milky Way Halo is not just a
bunch of random Stars right it was built
up through a combination of different
accretion events of different
regenerative galaxies and so one of them
for reasons I don't really understand is
called the Gaia sausage progender and
Galaxy
I'm not really a big Advantage but um
interestingly we can make a measurement
with uh jwst that would tell us whether
it comes from this progenitor Galaxy or
whether it's a more normal version of a
ground door from the Milky Way Salem but
it would be cool to be able to say that
we have found a visitor to the solar
neighborhood of another galaxy as well
see what the data comes out as
what is it correct observation like this
for me to get data
videos
yeah the question was what's the
thresholder when you got some freedom to
get kws in time and it's it's an
extremely high threshold because it's
super over subscribed at this point just
because of the fact that it's really got
an impressed unprecedented and unrivaled
ability to
see the universe especially in infrared
wavelengths so for example in the most
recent cycle where we did get the time
to look at this the accident objects
um I believe it was oversubscribed man
after like seven in terms of people
requested 35 000 telescope hours worth
of observations but there were only five
thousand available given how much time
there is in a year and the other
constraints on the spacecraft so the
answer is like a factor of seven which
is I think it was historically High even
compared to like level for example
foreign
yeah so the question is why do you think
that something like planet nine exists
uh and so I'll just take a planet as an
example and yeah one of the suggestions
you made was gravitational anomalies and
so that was indeed the first evidence
for this proposed by Mike Brown and
Constantine at Caltech
the that has been disputed a lot though
I mean people have come at it from every
angle of they were what they were
looking at is what are called these
extreme trans activity and objects vtnos
and they have this weird property that
the closest they get to the sun is
pretty far out relative to like even
Neptune and so they're outside of the
gravitational influence of all The Usual
Suspects in the inner solar system uh
the planets that we know about
and so that led them to hypothesize well
one mechanism that you could get for
forming and maintaining this population
of objects is a massive planet in the
outer solar system and then there's been
a lot of back and forth over the years
about whether that is the robust
statement or not people have kind of
attacked it from different angles like
oh is there a bias in terms of what
objects you select are we really
detecting the true population things
like that
so that's that's basically the answer is
that gravitational effects uh yeah
yeah
so uh
ological neighbors or it did just yeah
like yesterday I think okay so I haven't
gotten a chance to look at it yet but I
was wondering what are the labeling
tasks
sure yeah so the question is how how
does this cool neighbors Project work
and I can also have some sort of like
how it's different from the original
predecessor backyard worlds planet nine
so as I said we look one of the big
changes years that we use machine
learning and pre-select what gets shown
to our volunteers so in the original
Batman world's planet nine we just
showed totally random Sky patches to
people covering the whole sky and by now
we've had people look at 8.5 million of
these images and so it equates to
something like looking at the whole Sky
six and a half times over so we've done
well at that but it wouldn't it just be
better if we could tell people exactly
what to look at so that's what we've
done and we've also simplified the
classification we call this
classification in this universe parlance
we simplified that a fair amount so in
the original backfield pan at nine it
was a very open-ended task it's like
click on anything in this image that you
think moves and you can have like huge
numbers of puts I think someone once put
like a thousand objects in in one little
patch of this guy and we thought maybe
they had like come home from the bar and
like falling asleep on the people or
something
um but it's it's a kind of like an
open-ended data analysis task on our
site and then in this case we were just
like let's make it much more concrete
and specific
and so the idea was to have it be a very
simple like Boolean yes though
task and you just say is there an object
near the center of the frame that's
moving or not it's yes no and so we
think that'll make the data analysis a
lot easier although we're only one day
in so it's it's a little hard to say
with I mean we do do things like beta
tests where we do a test run of a much
smaller data set and get a lot of input
for each patch in the sky so that we can
kind of run tests about like are are we
going to be able to do statistically
robust things with the data given what
we're collecting
history plan
I don't actually know the distance of a
voyager right now but it's kind of like
some I think isn't it kind of like
somewhat larger but on the same order as
Pluto essentially you know many tens of
astronomical units many tons of times
further out okay
it's 159 astronomical okay so I was kind
of in the morning
so the question was how does it compare
to Voyager uh
so then yeah most most of these
hypotheses don't have something at 150
Au 150 times further than the Earth is
from the sun the planet nine is the
closer hypothesis and that posit
something at kind of like 600 to 1500 Au
so that's substantially further out than
Voyager
and then the Planet X scenario is even
further out than that that's many
thousands of times further out at
chromosome than the earth is so it's
it's not basically the problem is you
can't have something too close and still
be an actual planet right like if it was
really close and big enough to be a
planet then it would be super bright and
it would have been discovered by now so
that's kind of like the constraint that
you're playing around with here like you
couldn't hypothesize a Neptune size
Planet at 100 Au and not have it have
been discovered already so you kind of
have to you have to paint around the
existing constraints there they're not
an interesting attempts to constrain
whether planet nine might exist using
the spacecraft in the inner solar system
like I have the people who see some
Cassini Metrology of its like exact
distance from various objects uh I can't
actually remember the outcome of that
but people have tried then I don't know
whether it makes sense or not to try
with avoid or or what kind of telemetry
data they can Voyager executive
okay thanks
important question uh first of all right
foreign
yeah so those are good questions
relatively technical too so
this wise mission is the source of all
of our data but they only release their
data on dearly data so I basically get a
big dump of like 35 terabytes worth of
data uh about five million images once
every spring and then I do some
processing on Department of energy
supercomputer that I have access to and
that happens once a year only it would
in my opinion it would be nice if the
mission were to release its data on a
rolling basis but I assume they're
funding constraints about why they can't
make that a reality
as far as starlink and other satellite
constellations I'm not I haven't
particularly looked for them in this
data set I can tell you so first of all
this is the space based data set which
perhaps helps a little bit although some
of the star links satellites are about
well worth it
um I can tell you that I've worked on
other telescopes that are on the ground
uh specifically the nail telescopic Peak
which is kind of near Tucson and we have
this little uh we call it pointing
camera that that is on the top ring of
the telescope and it's a commercial
camera that just takes images of a wide
field of the sky and you see tons and
tons of Starling satellites in there uh
so I mean it's definitely real but I
don't think it's catastrophically
impacted really anything at this point
and it's not it's not helpful for
ground-based astronomy now maybe you can
argue that SpaceX is helpful for
space-based astronomy which I think
there probably is a good argument for
that
um but the other thing is that there's a
lot of redundancy in this wide satellite
data so every time it makes a mapping of
the sky at each Sky location it actually
gets something like 12 or more images
and so there's a lot of room to do
something like outlier rejection that
just uh still beats anything like
satellites or even for our purposes we
consider asteroids to be kind of like
outliers that get rejected in that image
processing
let's give our speaker
um
before we get on with the trivia winners
I I'm just curious who's gonna check out
backyard worlds and cool Neighbors
Okay cool so back to trivia
so we have
One winner to rule them all
one person that won by a landslide
they also this person that won my
Landslide also
tied in both of the round winners but
they still only win one okay so then we
also have
um a try for
um I said not that okay we have a tie
for the Sci-Fi questions and we have
opener for the uh women in astronomy and
then I have
five honorable mentions who sadly did
not win but I liked your team name so
much that I'm gonna say them into the
microphone
I know I usually say something in
between uh and between people uh I'm
Frank Castro my wife Sean is in there
we're the owners here thank you all for
coming out tonight
every mug
I'm hoping for some of the unicycle dogs
worked out tonight it's this is the
first time we've had a big group that's
working out so we'll have that as an
ongoing thing uh working with them so
thank you all for coming out uh we'll
see you next time
okay now before before I announced some
people let me go through the answers so
sci-fi questions a true story
comparatively important questions
John Carter was based on a Princess of
Mars
sterling sterling
forever
obviously
um
what's the Nobel Prize
uh leaves a nightmare let your group
that discovered due to the vision of
uraniums
Marine was the theoretical physicist
suffers proposed the nuclear shell model
um Christina set the record for most
days in space of any woman in a single
mission
Mae Jensen was the first black woman in
space
and she should have gotten the Nobel
Prize
okay and she's she's really cool by the
way okay
uh Margaret Hamilton was credited with
creating the term software engineering
while developing software for the Apollo
spacecraft
um
Aaron aren't you affiliated with room
and Observatory as well are you working
everyone at that table
there's a lot of folks that eat up okay
um
to begin
published
thank you
I'm gonna say my my favorite one for the
last okay I'm turned serious
like the stars series
uh Schrodinger's dogs
George flapple
and then my personal favorite tea thing
since I learned something it's not hi
Bae it's Tau day yeah
okay today is March 14th three slash one
four and Tao means two pie and today is
6 28.
now I'm gonna move on to the winners of
trivia
first off the one the one winner to rule
them all who gets to pick their prize
first is Beetlejuice
and now the round winners who fight to
the death for who begins to pick their
prize first I'm just kidding thanks for
laughing those of you that did
okay so starting to win
we have a tie for the Sci-Fi question
winners so in no particular order one
winner is Joe Geoff news
winner of the women in physics and Astro
around is CSG
okay
we also have stickers so don't worry
um
will be on July 26th and I was on top of
it and I already have speakers lined up
through both July and August
okay
sounds Miss
um and I have one work really exciting
announcement to make that I wanted to
share with you guys so you guys are
fantastic did you notice
how you guys participating to such a
high level so I've been trying really
hard to
um make astronauts have better with the
help of my Astro on top co-workers Sam
Garza and just Barbie
um and we have convinced the department
of astronomy to help us bring speakers
from other institutions starting in the
fall
um and so that will begin in October and
I wanted to announce that
foreign
Japanese
somehow I think he was involved okay