Lunar Water Disparities Explored, Asteroid 2024 YR4’s Moonbound Journey
Space News TodayApril 16, 202500:26:2024.12 MB

Lunar Water Disparities Explored, Asteroid 2024 YR4’s Moonbound Journey

(00:00:00) Lunar Water Disparities Explored, Asteroid 2024 YR4's Moonbound Journey


(00:00:46) Lunar Water Differences


(00:03:47) Asteroid 2024 YR4: From Earth Threat to Lunar Target


(00:06:33) Singing Stars and Galactic History


(00:18:56) The Science Report


(00:25:11) Show Wrap




SpaceTime Series 28 Episode 45

The Astronomy, Space and Science News Podcast

Uncovering Lunar Water Discrepancies, Asteroid 2024 YR4's Moon Targeting, and Stellar Seismology Insights

In this episode of SpaceTime, we delve into the intriguing findings from China's Chang'e 6 sample return mission, which reveal that the Moon's far side is significantly drier than its near side. This discovery sheds light on the geochemical differences between the two hemispheres and offers fresh perspectives on lunar evolution and the implications for the Moon's origin.

Asteroid 2024 YR4: From Earth Threat to Lunar Target

Next, we track the journey of asteroid 2024 YR4, which initially garnered attention as a potential Earth impactor. However, new observations indicate that this 60-meter-wide asteroid is now on a collision course with the Moon, raising the likelihood of an impact to 3.5%. We discuss its unique characteristics and the ongoing studies aimed at understanding its origins and physical properties.

Singing Stars and Galactic History

Additionally, we explore how stellar seismology is revealing the evolutionary history of stars in the open cluster Messier 67. By analyzing the oscillations of these stars, astronomers can map the history of the Milky Way and gain insights into stellar evolution. This innovative approach provides a deeper understanding of the life cycles of stars and their contributions to galactic archaeology.

00:00 Space Time Series 28 Episode 45 for broadcast on 14 April 2025

00:49 Findings from Chang'e 6 about lunar water distribution

06:30 Implications for lunar evolution and origin theories

12:15 Asteroid 2024 YR4's trajectory and characteristics

18:00 Transition from Earth impactor to Moon target

22:45 Stellar seismology insights from Messier 67

27:00 Summary of recent astronomical discoveries

30:15 Science report: Genetic engineering and the dire wolf

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✍️ Episode References

Nature

https://www.nature.com (https://www.nature.com/)

Astrophysical Journal Letters

https://iopscience.iop.org/journal/0004-637X (https://iopscience.iop.org/journal/0004-637X)

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Episode link: https://play.headliner.app/episode/26632157?utm_source=youtube

Kind: captions Language: en
00:00:00 --> 00:00:03 This is Spacetime series 28, episode 45.

00:00:03 --> 00:00:06 Coming up on Spacetime, why does the

00:00:06 --> 00:00:09 lunar far side have less water than the

00:00:09 --> 00:00:13 near side? Asteroid 2024 YF4, which came

00:00:13 --> 00:00:15 to fame after it was designated a

00:00:15 --> 00:00:17 possible Earth impact earlier this year,

00:00:17 --> 00:00:20 now appears to be targeting the moon.

00:00:20 --> 00:00:22 And how singing stars exposed their

00:00:22 --> 00:00:25 galactic past. All that and more coming

00:00:25 --> 00:00:28 up on Spaceime.

00:00:28 --> 00:00:32 Welcome to Space Time with Stuart

00:00:32 --> 00:00:39 [Music]



00:00:46 --> 00:00:49 Garry. Lunar rocks collected by China's

00:00:49 --> 00:00:51 Changi 6 sample return mission suggested

00:00:52 --> 00:00:54 the moon's far side is far drier than

00:00:54 --> 00:00:57 its earth-facing side. The findings

00:00:57 --> 00:00:59 reported in the journal Nature add to

00:00:59 --> 00:01:01 the intriguing dichotomy between the

00:01:01 --> 00:01:03 moon's two faces and offer potential new

00:01:03 --> 00:01:06 insights into lunar evolution. The

00:01:06 --> 00:01:08 analysis of Mar bassalts are showing

00:01:08 --> 00:01:10 scientists the lunar farides mantle

00:01:10 --> 00:01:13 contains far less water than on the near

00:01:13 --> 00:01:15 side. Over the past two decades,

00:01:15 --> 00:01:17 extensive studies of lunar samples from

00:01:17 --> 00:01:19 nearside rocks have demonstrated a

00:01:19 --> 00:01:21 highly heterogeneous distribution of

00:01:21 --> 00:01:23 water in the moon's interior.

00:01:23 --> 00:01:26 Concentrations range from roughly 1 to

00:01:26 --> 00:01:29 200 micrograms per gram. But the new

00:01:29 --> 00:01:31 data from the far side indicates water

00:01:31 --> 00:01:34 concentrations there are just 1 to 1 12

00:01:34 --> 00:01:37 micrograms per gram. Notably the crust

00:01:37 --> 00:01:39 exposed on the surface of the procarium

00:01:39 --> 00:01:41 creep terrain on the lunar side as a

00:01:41 --> 00:01:43 higher thorium concentration than the

00:01:43 --> 00:01:45 other two primary lunar geochemical

00:01:45 --> 00:01:47 provinces. The filled sporadic highlands

00:01:47 --> 00:01:49 and the south pole eken basin on the

00:01:49 --> 00:01:52 lunar far side. The thing is both

00:01:52 --> 00:01:53 thorium and water are considered

00:01:54 --> 00:01:55 incompatible elements during magmatic

00:01:56 --> 00:01:58 processes meaning they preferentially

00:01:58 --> 00:02:00 remain in the melt rather than becoming

00:02:00 --> 00:02:02 incorporated into the crystallizing

00:02:02 --> 00:02:05 materials. This geochemical behavior

00:02:05 --> 00:02:07 suggested the mantle beneath the south

00:02:07 --> 00:02:09 pole akin basin may contain lower

00:02:09 --> 00:02:12 abundances of water. Now to confirm this

00:02:12 --> 00:02:13 hypothesis, the authors focused on

00:02:14 --> 00:02:16 analyzing water content and hydrogen

00:02:16 --> 00:02:18 isotopes in melt inclusions in apatite

00:02:18 --> 00:02:20 within the Changi 6 Maria bassalt

00:02:20 --> 00:02:22 samples which were the first lunar rocks

00:02:22 --> 00:02:25 returned from the far side. The results

00:02:25 --> 00:02:27 indicate that the parent magma of these

00:02:27 --> 00:02:30 bassaltants contain 15 to 168 micrograms

00:02:30 --> 00:02:33 per gram of water. The authors estimated

00:02:33 --> 00:02:35 that the mantle source of the Changi 6

00:02:35 --> 00:02:38 bassalts had a water content of 1 to 1.5

00:02:38 --> 00:02:41 microgram per gram. significantly lower

00:02:41 --> 00:02:43 than for the near side mantle. Now, this

00:02:43 --> 00:02:45 disparity points to a potentially

00:02:45 --> 00:02:47 hemispheric dichotomy in the moon's

00:02:47 --> 00:02:49 interior water distribution, and that

00:02:50 --> 00:02:52 mirrors many other asymmetrical features

00:02:52 --> 00:02:54 observed on the lunar surface. The new

00:02:54 --> 00:02:56 estimates of the lunar farside matter's

00:02:56 --> 00:02:58 water content marks a significant step

00:02:58 --> 00:03:00 forward in refining science's

00:03:00 --> 00:03:02 understanding of the bulk silicut lunar

00:03:02 --> 00:03:04 water content. It provides important

00:03:04 --> 00:03:06 constraints in the giant impact

00:03:06 --> 00:03:08 hypothesis of the moon's origin and

00:03:08 --> 00:03:10 underscores the role of water in the

00:03:10 --> 00:03:13 moon's long-term evolution. This is

00:03:13 --> 00:03:17 space time. Still to come, asteroid 2024

00:03:17 --> 00:03:20 YF4, which came to fame after it was

00:03:20 --> 00:03:22 designated a possible Earth impactor

00:03:22 --> 00:03:24 earlier this year, now appears to be

00:03:24 --> 00:03:26 targeting the moon, and how singing

00:03:26 --> 00:03:29 stars expose their galactic past. All

00:03:29 --> 00:03:36 that and more still to come on

00:03:36 --> 00:03:46 [Music]

00:03:46 --> 00:03:51 Spaceime. Asteroid 2024 YF4, which came

00:03:51 --> 00:03:52 to fame after it was designated a

00:03:52 --> 00:03:55 possible Earth impactor, now appears to

00:03:55 --> 00:03:57 be targeting the moon. The widely

00:03:57 --> 00:03:59 spinning 60 meter wide space rock was

00:03:59 --> 00:04:01 discovered back on December the 27th

00:04:01 --> 00:04:03 last year, just a few days after

00:04:03 --> 00:04:05 Christmas with early observations

00:04:05 --> 00:04:07 suggesting a possible collision with the

00:04:07 --> 00:04:10 Earth on December the 22nd, 2032. Now,

00:04:10 --> 00:04:12 of course, that was based on very early

00:04:12 --> 00:04:15 orbital data. NASA and the European

00:04:15 --> 00:04:17 Space Agency placed the odds of a direct

00:04:17 --> 00:04:20 impact with the Earth as high as 3%. And

00:04:20 --> 00:04:22 this potential threat quickly gained

00:04:22 --> 00:04:24 international attention among the public

00:04:24 --> 00:04:26 and media. The thing is, the figures

00:04:26 --> 00:04:28 were still based on very early tracking

00:04:28 --> 00:04:31 of the asteroid's orbit. And as more and

00:04:31 --> 00:04:33 more detailed observations came flooding

00:04:33 --> 00:04:35 in over the following weeks earlier this

00:04:35 --> 00:04:37 year, including studies by the European

00:04:37 --> 00:04:39 Southern Observatory's VT, the Very

00:04:39 --> 00:04:41 Large Telescope in Chile, those risks

00:04:41 --> 00:04:44 eventually began dropping and dropping

00:04:44 --> 00:04:46 and dropping until they eventually

00:04:46 --> 00:04:50 became negligible. Asteroid 2024 YF4 was

00:04:50 --> 00:04:53 no longer likely to hit the Earth. But

00:04:53 --> 00:04:55 as the risk to Earth diminished, the

00:04:55 --> 00:04:57 chances of a collision with the moon

00:04:57 --> 00:04:59 began to grow. In fact, it's now

00:04:59 --> 00:05:00 standing at

00:05:00 --> 00:05:04 3.5%. And that makes YF4 one of the

00:05:04 --> 00:05:06 largest objects in recent history that

00:05:06 --> 00:05:08 could impact the moon. Meanwhile, as

00:05:08 --> 00:05:10 this near-Earth asteroid continues

00:05:10 --> 00:05:12 moving away from the Earth moon system

00:05:12 --> 00:05:14 on the outward leg of its four Earthyear

00:05:14 --> 00:05:16 journey around the sun, astronomers

00:05:16 --> 00:05:18 using the Gemini South telescope in

00:05:18 --> 00:05:20 Chile examined the rock in multiple

00:05:20 --> 00:05:21 wavelengths, creating a

00:05:21 --> 00:05:23 three-dimensional image, showing that it

00:05:23 --> 00:05:25 shaped more like a flat disc, a bit like

00:05:25 --> 00:05:28 a not quite round hockey puck rather

00:05:28 --> 00:05:30 than a potato, which most asteroids look

00:05:30 --> 00:05:32 like. They also discovered that it was

00:05:32 --> 00:05:34 tumbling at a rate of around once every

00:05:34 --> 00:05:37 20 minutes. And astronomers using the

00:05:37 --> 00:05:38 Mosfire spectrograph on the kek

00:05:38 --> 00:05:40 observatory on Monarch in Hawaii were

00:05:40 --> 00:05:41 able to determine the physical

00:05:42 --> 00:05:44 properties and potential origins of YF4

00:05:44 --> 00:05:47 revealing it to be a solid stony sype

00:05:47 --> 00:05:49 asteroid rich in silicates that likely

00:05:49 --> 00:05:51 originated from an asteroid family in

00:05:51 --> 00:05:53 the main asteroid built between Mars and

00:05:53 --> 00:05:55 Jupiter. The findings have been reported

00:05:55 --> 00:05:58 in the astrophysical journal letters and

00:05:58 --> 00:06:00 on the pre-press physics website

00:06:00 --> 00:06:04 archive.org. This is spaceime. Still to

00:06:04 --> 00:06:06 come, how singing stars expose the

00:06:06 --> 00:06:08 galactic past. And later in the science

00:06:08 --> 00:06:10 report, there's been a lot in the news

00:06:10 --> 00:06:12 about the extinct dire wolf being

00:06:12 --> 00:06:15 resurrected through genetic engineering.

00:06:15 --> 00:06:18 But how true really are those claims?

00:06:18 --> 00:06:25 All that and more still to come on

00:06:25 --> 00:06:33 [Music]



00:06:35 --> 00:06:37 Spaceime. Astronomers studying the open

00:06:37 --> 00:06:40 star cluster Messia 67 have used stellar

00:06:40 --> 00:06:43 seismology to help them determine how

00:06:43 --> 00:06:45 the stars in the cluster have evolved

00:06:45 --> 00:06:48 over cosmic time. The findings reported

00:06:48 --> 00:06:49 in the journal Nature are allowing

00:06:49 --> 00:06:51 scientists to map the history of the

00:06:51 --> 00:06:53 Milky Way and other galaxies,

00:06:53 --> 00:06:55 accelerating knowledge in the field of

00:06:55 --> 00:06:58 astrophysics. Located some 2700 light

00:06:58 --> 00:07:01 years away, and containing some 1

00:07:01 --> 00:07:04 solar masses, Messier 67 is one of the

00:07:04 --> 00:07:06 best studied star clusters. Yet,

00:07:06 --> 00:07:08 estimates of its physical parameters,

00:07:08 --> 00:07:10 such as its age, its true mass, and the

00:07:10 --> 00:07:12 number of stars it contains of a given

00:07:12 --> 00:07:15 type, vary substantially. What is known

00:07:15 --> 00:07:17 is that the stars in this cluster were

00:07:17 --> 00:07:19 all born at the same time from the same

00:07:19 --> 00:07:21 molecular gas and dust cloud with the

00:07:21 --> 00:07:24 best estimate suggesting about 4 billion

00:07:24 --> 00:07:26 years ago. Now, that means any

00:07:26 --> 00:07:28 differences between individual stars in

00:07:28 --> 00:07:31 the cluster must be due primarily to

00:07:31 --> 00:07:33 their stellar mass. Now, from what

00:07:33 --> 00:07:36 astronomers can tell, M67 has around 500

00:07:36 --> 00:07:39 stars, including at least 150 white

00:07:39 --> 00:07:42 dwarves and more than 100 sunlike stars,

00:07:42 --> 00:07:44 as well as numerous red giants. These

00:07:44 --> 00:07:46 are revolved stars, which have moved off

00:07:46 --> 00:07:48 the main sequence. That's where stars

00:07:48 --> 00:07:50 are burning hydrogen into helium in

00:07:50 --> 00:07:52 their stellar cores. The ages and

00:07:52 --> 00:07:54 prevalence of sunlike stars in the

00:07:54 --> 00:07:56 cluster has led some astronomers to

00:07:56 --> 00:07:58 hypothesize that it's possible that this

00:07:58 --> 00:08:01 could be the stellar nursery of our own

00:08:01 --> 00:08:04 local star, the sun. However, computer

00:08:04 --> 00:08:06 simulations disagree on whether our

00:08:06 --> 00:08:07 solar system would have survived an

00:08:07 --> 00:08:10 ejection from M67. And the cluster

00:08:10 --> 00:08:11 itself would probably not have survived

00:08:12 --> 00:08:14 such an ejection event anyway. The

00:08:14 --> 00:08:15 cluster now contains no main sequence

00:08:16 --> 00:08:17 stars bluer than spectrotype F white

00:08:18 --> 00:08:19 stars. That's because any brighter stars

00:08:20 --> 00:08:21 of that age would have already left the

00:08:21 --> 00:08:24 main sequence. In fact, when stars in

00:08:24 --> 00:08:26 the cluster are plotted on the Herzbrung

00:08:26 --> 00:08:28 Russell diagram, there's a distinct

00:08:28 --> 00:08:29 turnoff representing the stars which

00:08:29 --> 00:08:31 have terminated hydrogen fusion in the

00:08:31 --> 00:08:33 core and are now destined to become red

00:08:33 --> 00:08:36 giants. But that's not unusual. You see,

00:08:36 --> 00:08:38 as a cluster ages, the turnoff moves

00:08:38 --> 00:08:40 progressively down the main sequence

00:08:40 --> 00:08:42 towards cooler stars. That's because

00:08:42 --> 00:08:44 hotter stars burn through their nuclear

00:08:44 --> 00:08:46 fusion process quicker while cooler

00:08:46 --> 00:08:49 stars like our sun tend to live much

00:08:49 --> 00:08:51 longer. The study's lead author Claudia

00:08:51 --> 00:08:53 Reyes from the University of New South

00:08:53 --> 00:08:55 Wales studied 27 of the stars in the

00:08:56 --> 00:08:57 cluster to better understand how stars

00:08:57 --> 00:08:59 of different masses but similar

00:08:59 --> 00:09:02 compositions have evolved differently.

00:09:02 --> 00:09:04 Reyes says while these stars are all the

00:09:04 --> 00:09:06 same age, it's their mass which gives

00:09:06 --> 00:09:08 away how quickly they've evolved. The

00:09:08 --> 00:09:11 study also opens new ways to learn more

00:09:11 --> 00:09:13 about what the sun will do as it gets

00:09:13 --> 00:09:15 bigger and older. The thing is,

00:09:15 --> 00:09:17 verifying the age of a star is one of

00:09:17 --> 00:09:18 the most difficult things you can do in

00:09:18 --> 00:09:20 astronomy. That's because the age of a

00:09:20 --> 00:09:23 star isn't revealed by its surface. It's

00:09:23 --> 00:09:25 what happens inside that shows

00:09:25 --> 00:09:28 astronomers how old a star really is.

00:09:28 --> 00:09:30 Reyes and colleagues were able to

00:09:30 --> 00:09:32 precisely determine a star's age based

00:09:32 --> 00:09:35 on its oscillation frequencies.

00:09:35 --> 00:09:37 basically how the star vibrates, how it

00:09:37 --> 00:09:39 rings and that depends on the physical

00:09:39 --> 00:09:41 properties of the matter inside the

00:09:41 --> 00:09:44 star. It gives clues about stellar

00:09:44 --> 00:09:47 density, temperature and age. This is

00:09:47 --> 00:09:49 the first time researchers were able to

00:09:49 --> 00:09:50 interrogate the ringing across a cluster

00:09:50 --> 00:09:52 of stars in order to learn more about

00:09:52 --> 00:09:55 their internal structure. To do this,

00:09:55 --> 00:09:58 they use data from the Kepler K2 mission

00:09:58 --> 00:10:01 as a primary way to observe or listen.

00:10:01 --> 00:10:03 Reyes says the process is a bit like

00:10:03 --> 00:10:04 listening to an orchestra and

00:10:04 --> 00:10:06 identifying instruments based on their

00:10:06 --> 00:10:08 sound. The frequency by which an

00:10:08 --> 00:10:10 instrument's vibrating or ringing

00:10:10 --> 00:10:12 depends on the physical properties of

00:10:12 --> 00:10:13 the matter that the sound's traveling

00:10:14 --> 00:10:16 through. That's why a violin doesn't

00:10:16 --> 00:10:18 sound like a grand piano. And it's the

00:10:18 --> 00:10:21 same for stars. And we can see that

00:10:21 --> 00:10:23 vibration or the effects of that

00:10:23 --> 00:10:25 vibration. That is the sound just like

00:10:25 --> 00:10:27 you can see the vibration of a violin

00:10:27 --> 00:10:29 string. The biggest stars have the

00:10:29 --> 00:10:32 deepest sounds, while smaller stars have

00:10:32 --> 00:10:34 more high-pitch tones. But of course,

00:10:34 --> 00:10:37 it's not that simple. No one star plays

00:10:37 --> 00:10:40 just one note at once. Each star has a

00:10:40 --> 00:10:41 complete symphony of sounds coming from

00:10:41 --> 00:10:44 its interior. And these sounds exist as

00:10:44 --> 00:10:46 waves of energy, a vibration moving

00:10:46 --> 00:10:48 through particles, solid, liquid, or

00:10:48 --> 00:10:51 gas. Reyes says each star is like a

00:10:51 --> 00:10:53 breathing ball of gas, cooling down and

00:10:53 --> 00:10:55 heating up, causing slight changes in

00:10:55 --> 00:10:58 its brightness. And it's these

00:10:58 --> 00:11:00 fluctuations in brightness that Reyes

00:11:00 --> 00:11:01 and colleagues were watching for and

00:11:02 --> 00:11:03 then measuring in order to gauge the

00:11:04 --> 00:11:06 sound frequencies. As stars in the main

00:11:06 --> 00:11:09 sequence mature towards the red giant

00:11:09 --> 00:11:11 phase, their frequencies change and they

00:11:11 --> 00:11:13 behave differently and these changes can

00:11:13 --> 00:11:15 help track their evolution. The

00:11:15 --> 00:11:17 frequency differences between the many

00:11:17 --> 00:11:19 modes played by the star can give clues

00:11:20 --> 00:11:22 about its interior properties. And by

00:11:22 --> 00:11:25 studying 27 stars in the M67 open

00:11:25 --> 00:11:27 cluster, the authors could for the first

00:11:27 --> 00:11:29 time observe the relationship between

00:11:29 --> 00:11:31 small and large frequency differences in

00:11:31 --> 00:11:34 giant stars. And that can now be applied

00:11:34 --> 00:11:37 to individual stars. You see, to better

00:11:37 --> 00:11:38 understand the formation and evolution

00:11:38 --> 00:11:41 of galaxies, scientists need to know the

00:11:41 --> 00:11:43 ages of all its components, including

00:11:43 --> 00:11:45 the stars. Reyes says the study will

00:11:45 --> 00:11:47 lead to an accurate identification of

00:11:47 --> 00:11:49 the mass and age of stars in the Milky

00:11:49 --> 00:11:51 Way. Something yet to be achieved. We

00:11:51 --> 00:11:54 have found that the seismology of stars

00:11:54 --> 00:11:56 can give a different tool to get the

00:11:56 --> 00:12:00 ages and it is way way more precise than

00:12:00 --> 00:12:03 traditional method. So what we do is we

00:12:03 --> 00:12:06 use the oscillations of stars that have

00:12:06 --> 00:12:09 convective envelopes to measure the

00:12:09 --> 00:12:11 frequencies at which they resonate and

00:12:11 --> 00:12:13 we then compare those frequencies with

00:12:14 --> 00:12:15 the models that we have and we can

00:12:15 --> 00:12:19 estimate very good masses and age. We

00:12:19 --> 00:12:23 know in the file diagram where the stars

00:12:23 --> 00:12:25 that have convective envelopes lie. So

00:12:25 --> 00:12:28 our sun is a very good example of that

00:12:28 --> 00:12:31 but also most of the giant stars. So we

00:12:31 --> 00:12:34 target those and we observe the very

00:12:34 --> 00:12:37 small variations in their brightness and

00:12:37 --> 00:12:41 then we observe them for a long time as

00:12:41 --> 00:12:43 long as possible but we are limited of

00:12:43 --> 00:12:45 course by telescope capacities but then

00:12:45 --> 00:12:48 those we take those light curves and we

00:12:48 --> 00:12:50 transform them into the frequency space

00:12:50 --> 00:12:53 and that's what the oscillations that we

00:12:53 --> 00:12:55 measure come from and you use that to

00:12:55 --> 00:12:56 calculate stellar age stellar

00:12:56 --> 00:12:58 revolution. That's right. Because we

00:12:58 --> 00:13:01 have very good models and our models

00:13:01 --> 00:13:03 actually can predict very accurately

00:13:03 --> 00:13:06 where every one of those frequency peaks

00:13:06 --> 00:13:09 will lie in a frequency spectrum. Why

00:13:09 --> 00:13:12 did you choose M67? M67 is a very

00:13:12 --> 00:13:15 special cluster for a number of reasons.

00:13:15 --> 00:13:18 One of them is that it has very similar

00:13:18 --> 00:13:20 to solar composition which very good

00:13:20 --> 00:13:23 because our models are best calibrated

00:13:23 --> 00:13:26 to the sun normally. So another good

00:13:26 --> 00:13:29 reason is that it is not very obscure by

00:13:29 --> 00:13:32 D. We have a good look at them at those

00:13:32 --> 00:13:35 stars. And another good reason is that

00:13:35 --> 00:13:38 is very well populated. So from the main

00:13:38 --> 00:13:41 sequence to from lower evolutionary

00:13:41 --> 00:13:44 phases until the later evolutionary

00:13:44 --> 00:13:47 phases we have an amazing sample of

00:13:47 --> 00:13:49 stars that we can observe very clearly.

00:13:49 --> 00:13:50 You knew they all formed in the same

00:13:50 --> 00:13:53 molecular dust cloud. So they had a

00:13:53 --> 00:13:54 similar composition. you knew they

00:13:54 --> 00:13:56 started out at roughly the same time, so

00:13:56 --> 00:13:59 they're the same age. And by looking at

00:13:59 --> 00:14:01 how stars of different masses evolved,

00:14:02 --> 00:14:04 you were able to fine-tune your your

00:14:04 --> 00:14:06 hypothesis. Exactly. Because we know

00:14:06 --> 00:14:08 that the difference between two of them

00:14:08 --> 00:14:11 is mostly related to the mass that they

00:14:11 --> 00:14:13 started with. So it's not related to any

00:14:13 --> 00:14:16 other factor like chemical composition

00:14:16 --> 00:14:19 or distance or dust or anything like

00:14:19 --> 00:14:22 that. So yes, we can observe the entire

00:14:22 --> 00:14:25 sequence of frequencies and basically

00:14:25 --> 00:14:28 it's the next best thing as to just

00:14:28 --> 00:14:30 following a star for billions of years

00:14:30 --> 00:14:32 and seeing how it evolves. Of course we

00:14:32 --> 00:14:35 cannot do that but we can look at this

00:14:35 --> 00:14:37 very nice thickness of stars and this

00:14:37 --> 00:14:38 will allow you to get a better

00:14:38 --> 00:14:40 understanding of our sun as well. Yes.

00:14:40 --> 00:14:43 So the stars that we particularly target

00:14:43 --> 00:14:46 in this study are stars that are more

00:14:46 --> 00:14:48 evolved than the sun which is like

00:14:48 --> 00:14:51 looking into our sun's future. So what

00:14:51 --> 00:14:54 we learned from this study one of the

00:14:54 --> 00:14:56 things that we learned is that we have

00:14:56 --> 00:15:00 evidence of how deep that convective

00:15:00 --> 00:15:03 envelope with will actually reach. So we

00:15:03 --> 00:15:05 have predicted this and we have indirect

00:15:05 --> 00:15:09 methods of getting this information of

00:15:09 --> 00:15:11 how deep the envelope actually reaches.

00:15:11 --> 00:15:15 But now we have very direct indication

00:15:15 --> 00:15:19 of the depth of that envelope and it is

00:15:19 --> 00:15:21 what will happen to the sun. Is our

00:15:21 --> 00:15:23 schedule of the sun accurate at this

00:15:23 --> 00:15:26 stage? So what does including our sun

00:15:26 --> 00:15:29 when they run out of hydrogen in it core

00:15:29 --> 00:15:32 they begin to puff up. So as the core

00:15:32 --> 00:15:35 will become even more dense, its outer

00:15:35 --> 00:15:38 layers will become more expanded and yes

00:15:38 --> 00:15:41 they will reach where the the radius

00:15:41 --> 00:15:44 where the earth is located. But it is

00:15:44 --> 00:15:46 still so so far in the future but a lot

00:15:46 --> 00:15:48 sooner than that as the sun continues to

00:15:48 --> 00:15:50 heat up a lot sooner than that the earth

00:15:50 --> 00:15:52 will become uninhabitable anyway. Um

00:15:52 --> 00:15:53 well at least that's that's the

00:15:53 --> 00:15:56 hypothesis that I was taught. Yeah. Well

00:15:56 --> 00:15:59 before the earth is engulfed by the sun.

00:15:59 --> 00:16:02 Yes. It will become uninhabitable but

00:16:02 --> 00:16:05 the sun has a good billion of years in

00:16:05 --> 00:16:07 its current state. So nothing will

00:16:07 --> 00:16:10 happen for a long time. Star quakes tell

00:16:10 --> 00:16:12 me about them. So star quakes are very

00:16:12 --> 00:16:15 similar to earthquakes that we are

00:16:15 --> 00:16:16 familiar with just that they happen in

00:16:16 --> 00:16:20 stars but the cause of the quakes are

00:16:20 --> 00:16:22 different. So for example in the earth

00:16:22 --> 00:16:25 we are familiar with the tectonic plates

00:16:25 --> 00:16:27 running into each other. That is what

00:16:27 --> 00:16:29 causes these earthquakes. In stars they

00:16:29 --> 00:16:33 have this bubbling outer layer of gas.

00:16:33 --> 00:16:35 It's like water boiling in a pot. I

00:16:35 --> 00:16:38 think so. Yeah. So what happens is that

00:16:38 --> 00:16:40 convective envelopes need to transport

00:16:40 --> 00:16:43 energy from the core to the surface very

00:16:44 --> 00:16:46 efficiently so that stars can keep from

00:16:46 --> 00:16:48 collapsing. Right? So these bubbles when

00:16:48 --> 00:16:52 they reach the surface they burst and by

00:16:52 --> 00:16:54 bursting they send ripples through the

00:16:54 --> 00:16:57 entire star and that is what causes the

00:16:57 --> 00:17:00 star wicks and I think it's really

00:17:00 --> 00:17:03 fascinating that we have we can learn so

00:17:03 --> 00:17:05 much from that and does magnetism play

00:17:05 --> 00:17:08 an important role in this because we

00:17:08 --> 00:17:09 know that things like coronal mass

00:17:09 --> 00:17:11 ejections and stellar flares are

00:17:11 --> 00:17:14 triggered by magnetic ropes that are

00:17:14 --> 00:17:16 being twisted as the star rotates at

00:17:16 --> 00:17:18 different rates. Does that play a role

00:17:18 --> 00:17:20 in this or is that independent from

00:17:20 --> 00:17:22 perculations of plasma that lead to star

00:17:22 --> 00:17:26 quakes? Yeah. So a study of magnetism

00:17:26 --> 00:17:30 using seismology is a very active and

00:17:30 --> 00:17:32 one thing that it does that is really

00:17:32 --> 00:17:35 interesting is that the magnetism in the

00:17:35 --> 00:17:37 core of a star can actually suppress

00:17:37 --> 00:17:40 that oscillations and leave us with a

00:17:40 --> 00:17:43 partial power spectrum. So that is one

00:17:43 --> 00:17:45 one of the areas where magnetism can be

00:17:45 --> 00:17:47 observed in a source moon. And where

00:17:47 --> 00:17:49 would you like to take this research to

00:17:49 --> 00:17:52 next? It's very interesting because this

00:17:52 --> 00:17:55 research other than let us know a lot of

00:17:55 --> 00:17:58 what is going on underneath the outer

00:17:58 --> 00:18:00 layers of the stars as it is one of the

00:18:00 --> 00:18:03 main outcomes of this study was to find

00:18:03 --> 00:18:06 out specifically when the outer layer

00:18:06 --> 00:18:10 reaches this greater depth. So the other

00:18:10 --> 00:18:13 outcome of this study is that we can get

00:18:14 --> 00:18:17 even more precise ages for a particular

00:18:17 --> 00:18:20 subset of stars everywhere in the galaxy

00:18:20 --> 00:18:23 not only in the cluster M67. So next for

00:18:24 --> 00:18:26 us is to look for stars in this

00:18:26 --> 00:18:28 particular phases everywhere in the

00:18:28 --> 00:18:32 gate. So we can then use that data for

00:18:32 --> 00:18:34 galactic archology which is the search

00:18:34 --> 00:18:37 for reconstructing the history of the

00:18:37 --> 00:18:40 galaxy. That's Claudia Reyes from the

00:18:40 --> 00:18:43 University of New South Wales and this

00:18:43 --> 00:18:44 is

00:18:44 --> 00:18:59 [Music]

00:18:59 --> 00:19:01 Spacetime. And time now to take a brief

00:19:01 --> 00:19:02 look at some of the other stories making

00:19:02 --> 00:19:04 news in science this week with a science

00:19:04 --> 00:19:07 report. Two new studies have linked

00:19:07 --> 00:19:09 diabetes drugs such as ampic, which

00:19:09 --> 00:19:11 lowers blood glucose, showing it may

00:19:11 --> 00:19:13 also lower the risk of Alzheimer's and

00:19:13 --> 00:19:16 dementia. A report in the Journal of the

00:19:16 --> 00:19:18 American Medical Association found that

00:19:18 --> 00:19:20 one study looked at Alzheimer's

00:19:20 --> 00:19:22 diagnosis in patients taking a class of

00:19:22 --> 00:19:24 drugs that includes glucagenike peptide

00:19:24 --> 00:19:29 1 receptor agonists GLP1 RAS and another

00:19:29 --> 00:19:32 class of glucoseing drugs known as

00:19:32 --> 00:19:35 SGT2is. They found that patients taking

00:19:35 --> 00:19:37 the newer drugs had lower rates of

00:19:37 --> 00:19:40 Alzheimer's disease and other dementias.

00:19:40 --> 00:19:41 Meanwhile, the second study pulled

00:19:41 --> 00:19:43 together the results of previous

00:19:43 --> 00:19:47 clinical trials, finding that GLP1

00:19:47 --> 00:19:50 ragt2is were associated with a reduction

00:19:50 --> 00:19:54 in dementia or cognitive impairment.

00:19:54 --> 00:19:55 The company behind efforts to resurrect

00:19:56 --> 00:19:57 the woolly mammoth, the thyloine, and

00:19:58 --> 00:20:00 the dodo now claim they've achieved what

00:20:00 --> 00:20:02 they're describing as the deextinction

00:20:02 --> 00:20:04 of the dire wolf. It's a species that

00:20:04 --> 00:20:07 went extinct about 10 years ago.

00:20:07 --> 00:20:09 Colossal biosciences claim it's produced

00:20:09 --> 00:20:11 three very cute little puppies named

00:20:11 --> 00:20:14 Romulus, Remis, and Kalesi based on

00:20:14 --> 00:20:17 genetically engineered greywolf genomes.

00:20:17 --> 00:20:19 However, according to Professor Philip

00:20:19 --> 00:20:21 Seden from the University of Vitago,

00:20:21 --> 00:20:23 greywolves and direwolves, despite the

00:20:23 --> 00:20:25 wolf part in their names, aren't closely

00:20:25 --> 00:20:27 related, having parted ways from a

00:20:27 --> 00:20:29 common ancestor some 6 million years

00:20:29 --> 00:20:31 ago. In fact, he says the African

00:20:31 --> 00:20:33 jackals probably more closely related to

00:20:33 --> 00:20:34 real

00:20:34 --> 00:20:36 direwolves. The company simply

00:20:36 --> 00:20:38 introduced a series of genetic changes

00:20:38 --> 00:20:40 to a grey wolf to produce greywolf pups

00:20:40 --> 00:20:43 with direwolf features, such as paler

00:20:43 --> 00:20:45 coats and potentially a slightly larger

00:20:45 --> 00:20:47 size.

00:20:47 --> 00:20:49 A new study shows that farmers had been

00:20:49 --> 00:20:52 transporting fish up into the Pyrenees

00:20:52 --> 00:20:53 mountains between modern day Spain and

00:20:53 --> 00:20:56 France into local Pyrenees waterways and

00:20:56 --> 00:20:59 lakes as early as the 7th century. A

00:20:59 --> 00:21:00 report of the journal Nature

00:21:00 --> 00:21:02 Communications found the lakes in the

00:21:02 --> 00:21:04 highest mountains of Europe didn't

00:21:04 --> 00:21:06 originally have fish, but evidence of

00:21:06 --> 00:21:08 people introducing them to these areas

00:21:08 --> 00:21:10 has been found dating from the 14th and

00:21:10 --> 00:21:13 15th centuries. The author studied a

00:21:13 --> 00:21:15 sedimentary core in Lake Rudon in the

00:21:15 --> 00:21:18 Spanish Pyrenees, finding data from fish

00:21:18 --> 00:21:20 parasites and fish prey dating back to

00:21:20 --> 00:21:22 the early 7th century, a time when the

00:21:22 --> 00:21:24 region was likely used for sheep

00:21:24 --> 00:21:26 farming. And that suggests that fish

00:21:26 --> 00:21:28 must have been brought there earlier

00:21:28 --> 00:21:30 than previously thought. Of course,

00:21:30 --> 00:21:32 today this lake is home to about 60

00:21:32 --> 00:21:35 brown trout, descendants of those

00:21:35 --> 00:21:37 original fish transported up by early

00:21:37 --> 00:21:39 farmers.

00:21:39 --> 00:21:41 There's a growing spread of

00:21:41 --> 00:21:42 misinformation online about the

00:21:42 --> 00:21:44 nutritional value of various

00:21:44 --> 00:21:46 supplements, but Tim Menum from

00:21:46 --> 00:21:48 Australian Skeptics says it's possible

00:21:48 --> 00:21:50 to protect yourself and tell the

00:21:50 --> 00:21:51 difference between what's good advice

00:21:51 --> 00:21:54 and what's not if you follow some simple

00:21:54 --> 00:21:56 rules. Nutrition, especially online

00:21:56 --> 00:21:58 recommendations for nutrition, you go

00:21:58 --> 00:21:59 through your Tik Toks and all that sort

00:21:59 --> 00:22:02 of stuff, is fraught with bad

00:22:02 --> 00:22:04 information, bad advice from people who

00:22:04 --> 00:22:05 really don't know what they're talking

00:22:05 --> 00:22:08 about. and wellness influencers are the

00:22:08 --> 00:22:09 people who often up there use this

00:22:09 --> 00:22:11 product and you know stick your mouth

00:22:11 --> 00:22:13 full of cinnamon or whatever or take the

00:22:13 --> 00:22:14 big one was apple cider vinegar which

00:22:14 --> 00:22:16 will cure anything going apparently all

00:22:16 --> 00:22:18 these things are recommended you go

00:22:18 --> 00:22:20 online you see these things everywhere

00:22:20 --> 00:22:22 this will guarantee the cure you of this

00:22:22 --> 00:22:23 particular problem I remember when

00:22:23 --> 00:22:25 echynatia was a big thing everyone had

00:22:25 --> 00:22:27 to take echania yeah I mean echynatia

00:22:27 --> 00:22:29 was a is that a homeopathic treatment it

00:22:29 --> 00:22:31 was a herbal treatment supposedly cure

00:22:31 --> 00:22:33 you for cold the fish oil it was largely

00:22:34 --> 00:22:35 overstated about sort what what it could

00:22:36 --> 00:22:37 actually do for you. And there also

00:22:37 --> 00:22:39 concerns about its quality and how old

00:22:39 --> 00:22:40 it is and how well it quality is

00:22:40 --> 00:22:42 especially a problem that you don't know

00:22:42 --> 00:22:44 how it's made and how true it is. I

00:22:44 --> 00:22:46 mean, despite what it says on the label,

00:22:46 --> 00:22:47 that's not necessarily a guarantee,

00:22:47 --> 00:22:50 especially if it's taken as a food

00:22:50 --> 00:22:51 supplement, not as a medicine thing,

00:22:52 --> 00:22:53 because the medicine things are more

00:22:53 --> 00:22:55 closely reviewed. Hopefully, the food

00:22:55 --> 00:22:57 things are less closely reviewed, except

00:22:57 --> 00:22:59 if they're poison, right? There's a big

00:22:59 --> 00:23:01 overlap there between what's a good diet

00:23:01 --> 00:23:03 or a nutritional product rather than a

00:23:03 --> 00:23:04 medical product. And that's part of the

00:23:04 --> 00:23:06 problem is is that in many cases the

00:23:06 --> 00:23:08 nutritional product is regarded as food

00:23:08 --> 00:23:09 and that's a different authority to the

00:23:09 --> 00:23:11 medical regulatory bodies. So what you

00:23:12 --> 00:23:14 have is that with nutrition anyone can

00:23:14 --> 00:23:15 get actually that happens with medicine

00:23:15 --> 00:23:17 as well. So people get online they go a

00:23:17 --> 00:23:20 Tik Tok a 3minut video about yeah use

00:23:20 --> 00:23:21 this thing it's worked for me and I got

00:23:21 --> 00:23:23 this great body etc. And you too can

00:23:23 --> 00:23:25 have this if you take this product. I

00:23:25 --> 00:23:26 had a great body once but I had to give

00:23:26 --> 00:23:29 it back. Yeah. Okay back to our story.

00:23:29 --> 00:23:30 So the thing about a lot of this stuff

00:23:30 --> 00:23:32 is that obviously you got to take it

00:23:32 --> 00:23:33 with a grain of salt. That's

00:23:33 --> 00:23:36 metaphorical. But the global dietary

00:23:36 --> 00:23:38 supplement industry is not some little

00:23:38 --> 00:23:41 thing. It's worth globally about 150

00:23:41 --> 00:23:44 billion US. So people talk about big

00:23:44 --> 00:23:46 farmer etc. Well, they should talk about

00:23:46 --> 00:23:49 big supplement or big homeopathy or big

00:23:49 --> 00:23:51 nutrition etc. This is a giant industry

00:23:51 --> 00:23:53 made up of lots of little different

00:23:53 --> 00:23:55 things and some of them major, some of

00:23:55 --> 00:23:57 them tiny, some of them promoted by one

00:23:57 --> 00:23:59 person on Tik Tok, others promoted by

00:23:59 --> 00:24:01 organizations that we hope would know

00:24:01 --> 00:24:03 better. But how do you tell? That's hard

00:24:04 --> 00:24:05 actually because a lot of these people

00:24:05 --> 00:24:06 are very convincing. They got

00:24:06 --> 00:24:08 confidence. They will use anecdotal

00:24:08 --> 00:24:09 evidence which is not worth very much.

00:24:09 --> 00:24:12 And a lot of them doctors, train medical

00:24:12 --> 00:24:14 practitioners to spru their claims. Yes.

00:24:14 --> 00:24:17 Unfortunately, there you'll always find

00:24:17 --> 00:24:19 some qualified person to promote any

00:24:19 --> 00:24:21 particular pseudocience, pseudo

00:24:21 --> 00:24:22 medicine. Yeah, the things to do. First

00:24:22 --> 00:24:24 of all, check your reasoning for trying

00:24:24 --> 00:24:26 to follow this. Is it fear? Is it anger?

00:24:26 --> 00:24:28 Why are you paying any attention to this

00:24:28 --> 00:24:29 at all? That's a bit of a hard one to

00:24:30 --> 00:24:31 do. Uh next, check who's saying it. Do

00:24:31 --> 00:24:33 they have qualifications? Do they know

00:24:33 --> 00:24:34 what they're talking about? Are they

00:24:34 --> 00:24:36 lying? But then if you say you can get a

00:24:36 --> 00:24:38 medical doctor to endorse something

00:24:38 --> 00:24:39 anywhere and then try and find some

00:24:40 --> 00:24:41 critical reviews of this thing. My

00:24:41 --> 00:24:44 advice I found in my experience is that

00:24:44 --> 00:24:45 if you say for instance apple cider

00:24:45 --> 00:24:48 vinegar, Google in apple cider vinegar

00:24:48 --> 00:24:49 skeptic, right? You add the word skeptic

00:24:50 --> 00:24:52 and you will find alternative views. So

00:24:52 --> 00:24:53 check your motivation, check the

00:24:53 --> 00:24:55 authority and check the facts and you

00:24:55 --> 00:24:57 will find you discover a lot of weird

00:24:57 --> 00:24:59 things. That's Tim Mendum from

00:24:59 --> 00:25:02 Australian Skeptics.

00:25:02 --> 00:25:11 [Music]



00:25:16 --> 00:25:19 And that's the show for now. Spaceime is

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