Wednesday, June 16, 2010


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Scientists at University College London (UCL) and the University of Cambridge have developed machine-learning codes modelled on the human brain that can be used to classify galaxies accurately and efficiently. Remarkably, the new method is so reliable that it agrees with human classifications more than 90% of the time. The research will appear in a paper in the journal Monthly Notices of the Royal Astronomical Society.

There are billions of galaxies in the Universe, containing anything between ten million and a trillion stars. They display a wide range of shapes, from elliptical and spiral to much more irregular systems. Large observational projects – such as the Sloan Digital Sky Survey – are mapping and imaging a vast number of galaxies. As part of the process of using these data to better understand their origin and evolution, the first step is to classify the types of galaxies within these large samples. The 250,000 members of the public participating in the Galaxy Zoo project recently classified 60 million such galaxies by eye.

Now, a team of astronomers has used Galaxy Zoo classifications to train a computer algorithm known as an artificial neural network to recognize the different galaxy types. The artificial neural network is designed to simulate a biological neural network like those found in living things. It derives complex relationships between inputs such as the shapes, sizes and colours of astrophysical objects and outputs such as their type, mimicking the analysis carried out by the human brain. This method managed to reproduce over 90% of the human classifications of galaxies.

“We were astonished that a computer could do so well” says Dr Manda Banerji from the Institute of Astronomy at the University of Cambridge who led the research, which formed part of her PhD thesis at UCL. “This kind of analysis is essential as we are now entering a new age of astronomical surveys. Next generation telescopes now under construction will image hundreds of millions and even billions of galaxies over the coming decade. The numbers are overwhelming and every image cannot viably be studied by the human eye.”

A large-scale sky survey in which the UK is playing a leading role is the Dark Energy Survey (DES) due to commence in 2011, which is expected to image 300 million galaxies over 5 years. Another survey called the VISTA Hemisphere Survey being led by astronomers at the University of Cambridge, has just started taking data and will image galaxies over the entire southern hemisphere.

Professor Ofer Lahav, head of Astrophysics at UCL and chair of the international DES Science Committee, who supervised Banerji’s thesis, commented: “While human eyes are very efficient in recognizing patterns, clever computational techniques that can reproduce this behaviour are essential as we begin to push the boundaries of our observable Universe and detect more distant galaxies. This study is an important step in that direction.”

(Photo: NASA/ESA and the Hubble Heritage Team (STScI/AURA))

Royal Astronomical Society


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Ardipithecus ramidus - a purported human ancestor that was dubbed Science magazine's 2009 "Breakthrough of the Year" - is coming under fire from scientists who say there is scant evidence for her discoverers' claims that there were dense woodlands at the African site where the creature lived 4.4 million years ago.

Instead, "there is abundant evidence for open savanna habitats," says University of Utah geochemist Thure Cerling, lead author of a critique published as a "technical comment" in the Friday, May 28 issue of Science.

The criticism - by eight geologists and anthropologists from seven universities - is important because the claim that the 4.4-million-year-old fossil nicknamed Ardi lived in woodlands and forest patches was used as an argument against a longstanding theory of human evolution known as the savanna hypothesis.

That hypothesis holds that an expansion of savannas - grassy plains dotted with trees and shrubs - prompted ape-like ancestors of humans to descend from the trees and start walking upright to find food more efficiently or to reach other trees for shelter or resources.

Last October, a team of four dozen scientists led by Tim White of the University of California, Berkeley, published 11 studies in Science outlining 17 years of work in which they excavated Ardipithecus fossils - including a partial skeleton of a female nicknamed Ardi - as well as 150,000 animal and plant fossils. They characterized the environment at what is now Aramis, Ethiopia, as woodland to forest patches with a climate cooler and more humid than today.

In December, Science named the research that uncovered Ardipithecus and her environment as the 2009 "Breakthrough of the Year," citing how the fossils were more than a million years older than those of the previously oldest known hominid partial skeleton - that of Lucy, or Australopithecus afarensis.

But a month earlier, in November, Cerling and the seven other scientists submitted their critique to Science. The journal didn't publish it until now - when Cerling and his University of Utah coauthor, geologist Frank Brown, are in the field in Kenya and difficult to reach. Both expressed frustration it took so long.

The Utah researchers' critique to Science was coauthored by two anthropologists - Richard Klein of Stanford University and John D. Kingston of Emory University - and by four other geologists: Naomi Levin of Johns Hopkins University, Jay Quade of the University of Arizona, Jonathan Wynn of the University of South Florida, and David L. Fox of the University of Minnesota.

Most of the authors have studied ancient soils and other geological indicators of environment at African hominid sites. Levin, Quade and Wynn are former Utah students.

The critique concludes that Ardi most likely lived in tree or bush savanna with 5 percent to 25 percent of the area covered by trees or shrubs, not the minimum 60 percent to meet the definition of a closed-canopy woodland. Cerling acknowledges Ardi could have lived in a wooded river corridor, but it was a river that flowed through savanna.

"It wasn't a pure grassland, and it wasn't forest either," says Brown, dean of the University of Utah College of Mines and Earth Sciences and distinguished professor of geology and geophysics.

"It was what people call savanna," says Cerling, a distinguished professor of geology and geophysics, and of biology. That contradicts White and coworkers, who "propose an environment that is mostly forested with connected canopy."

Cerling and Brown say they aren't advocating the savanna hypothesis, just noting that White's own data support it rather than contradict it.

"The idea that savannas were important in human ancestors starting to walk on two legs means they spent less energy getting from one food source to another than they would have if they were still moving around on all fours," says Brown.

"One of the big, newsworthy items that White and coworkers put forward is that Ardipithecus walked upright on two legs, yet lived in a forested environment," he adds. "They then say the savanna hypothesis - which holds that the reduction in forest cover in Africa is one of the reasons for early man becoming bipedal - must be incorrect."

Cerling says: "Our conclusion is that much of the evidence that they [White and colleagues] present should be interpreted as a savanna environment, therefore their rejection of the savanna hypothesis is incorrect."

Three of the 2009 Science papers by White and colleagues cited various data they collected from ancient soils, plant fossils and so on to support the notion that Ardipithecus lived in woodlands.

Cerling and colleagues based their conclusions on the White team's own data, including data for ancient soils that are buried and compacted, and phytoliths, which are tiny grains of silica that form within living plants and later become fossilized in rock.

The relative abundances of phytoliths from various plants, and stable or non-decaying carbon isotopes in fossil soils both provide evidence of ancient vegetation, letting researchers distinguish whether an area was covered by grasses or woody plants. Cerling says phytoliths from Aramis are inconsistent with a dense woodland environment and instead indicate tropical grasses made up 43 percent to 77 percent of the ecosystem.

White's group examined how much tropical grasses contributed to the carbon composition of soil. Cerling says 83 of 84 samples from nine sites in the Aramis area indicate a significant amount of tropical grasses were growing when the soils formed, and only one sample could be interpreted as having been from soil formed in a forest with no tropical grasses. For all sites, the median amount of tropical grass by biomass produced was 40 percent to 60 percent - hardly a forest, he says.

Cerling says White contends seven of the nine Aramis sites were forested. Yet the carbon isotopes indicate "the Aramis site has more [tropical] grasses than other sites of the same age that other people have studied in East Africa," he adds. "It means Aramis was more open than even the most open of the sites people have looked at."

Carbon-13 levels in tooth enamel from animals such as giraffes and antelopes were interpreted by White and colleagues to indicate closed-canopy forest patches. Cerling says the values are not consistent with modern animals that live in dense forests, but are consistent with browsing animals that range from river-edge woodlands to savanna.

The team that discovered Ardipithecus also used an index of aridity, "and the values they calculate for Aramis are comparable to the driest modern sites that have been examined," says Cerling. Yet they claim "out of the blue" that the area was forested rather than being a savanna with wooded areas along a river.

Cerling sharply criticizes White's team for claiming a forest environment when there are fossils of two species of small grassland rodents.

"What they are saying is all the grassland mice were brought in from somewhere else after they were eaten by owls," he says. "That presupposes it was a forest."

The critique concludes that although its authors do not judge the validity of the savanna hypothesis, the connection between human ancestors walking upright and the expansion of grasslands "remains a viable idea."

University of Utah


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Almost two million years ago, early humans began eating food such as crocodiles, turtles and fish – a diet that could have played an important role in the evolution of human brains and our footsteps out of Africa, according to new research.

In what is the first evidence of consistent amounts of aquatic foods in the human diet, an international team of researchers has discovered early stone tools and cut marked animal remains in northern Kenya. The work has just been published in the Proceedings of the National Academy of Science (PNAS).

“This site in Africa is the first evidence that early humans were eating an extremely broad diet,” says Dr Andy Herries from the University of New South Wales (UNSW), the only researcher from Australia to have worked with the team. The project represents a collaborative effort with the National Museums of Kenya and is led by David Braun of the University of Cape Town in South Africa and Jack Harris of Rutgers University in the US.

The researchers found evidence of the early humans eating both freshwater fish and land animals at the site in the northern Rift Valley of Kenya. It is thought that small bodied early Homo would have scavenged the remains of these creatures, rather than hunting for them.

“This find is important because fish in particular has been associated with brain development and it is after this period that we see smaller-brained hominin species evolving into larger-brained Homo species- Homo erectus - the first hominin to leave Africa,” says Dr Herries, of the School of Medical Sciences.

“A broader diet as suggested by the site’s archaeology may have been the catalyst for brain development and humanity’s first footsteps out of Africa.”

Dr Herries dated the archeological remains using palaeomagnetism, a technique that identifies the fossilised direction of the Earth’s magnetic field in sediments.

(Photo: UNSW)

University of New South Wales




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