NASA scientists scientists are building the next generation ChemCam with upgrades and brand new spectral capabilities for the NASA Mars 2020 rover.
As the NASA Curiosity rover roams the surface of Mars, its ChemCam captures the chemical makeup of its surroundings with a specially designed laser system. It is the most powerful laser to operate on the surface of another planet. The burst of infrared light it fires lasts only a few billionths of seconds, but it is powerful enough to vaporize the spot it hits at more than 8,000°C. Even from a distance, the ChemCam can examines rocks and soil using a process called Laser Induced Breakdown Spectroscopy (LIBS), where laser bursts atomize and excite components and spectral images capture their chemical signatures.
Here on Earth, scientists are already building the next generation’s ChemCam with impressive upgrades and brand new spectral capabilities for the NASA Mars 2020 rover, named for the year of its scheduled launch. In addition to a faster LIBS system, the SuperCam will feature an entirely new conduction-cooled laser system to provide the non-destructive analysis ability of Raman spectroscopy, capable of detecting carbon-based signatures of organic materials.
Together with the Centre National d’Etudes Spatiales (CNES) and The Research Institute in Astrophysics and Planetology (IRAP), Thales Group is in the final stages of testing the compact SuperCam system that will eventually endure harsh Martian conditions. They have already built and tested a full, representative model.
Unlike Curiosity’s LIBS-only functionality, this new instrument will be able to switch between a LIBS mode and a Raman mode of lasing, a method that requires two different laser colors to excite and probe molecular vibration energies for its non-destructive chemical identification. The second color is produced by a crystal that doubles the 1064 nanometer frequency used for LIBS measurements – which now produces 10 times as many shots in each burst of the laser for faster sampling.
This second, 532 nanometer beam will allow Mars 2020 to detect molecular structures evident of organic matter — evidence of past life. The new optical architecture required to produce the two operation modes, however, was not without its challenges.
The upgraded LIBS oscillator uses a diode pumped Nd:YAG crystal, as opposed to ChemCam’s Nd:KGW, which provides the longer bursts but requires new methods to ensure functionality over a large temperature range. Because the Nd:YAG absorbs over a narrow range of frequencies to lase at a given temperature, the SuperCam uses a multicolor stacked diode that can pump with a wide spectrum to account for a range in temperatures.
“This laser is running in burst mode, but with this laser we can do 1000 shots in one burst while the ChemCam laser was 10 time less,” said Eric Durand, one of SuperCam’s developers at Thales Group, France. “We longitudinally pump this laser with a stack which is a broadband emitting so that when the temperature is changing, the ND:YAG crystal is still absorbing the light and the laser can be used over at least 50 to 60 degrees without temperature regulation.”
Adding another complication to temperature control, the KTP crystal producing the green, frequency doubled light required additional stabilization.
“The most difficult aspect was to achieve the temperature range also with the green wavelength because we have to keep the efficiency over the whole range, and it was only possible by heating a little the KTP crystal,” said Durand.
The temperature stabilization required to keep the system aligned and working for either mode is difficult enough to achieve in a lab, but this system was designed to have the same stability while on the rover as it traverses the rocky Martian terrain. Moreover, it has to meet tight size and weight restrictions that come with space travel and stay free of contaminants that would destroy its components – a feat achieved by sealing the instrument with laser-welding.
The robust and powerful abilities of the new SuperCam will be an invaluable chemical probe for the Mars 2020 rover and may just bring to life a whole host of new findings back to us here on Earth.
Huawei Mate 20 unveils ‘higher intelligence’
The new Mate 20 series, launching in South Africa today, includes a 7.2″ handset, and promises improved AI.
Huawei Consumer Business Group today launches the Huawei Mate 20 Series in South Africa.
The phones are powered by Huawei’s densest and highest performing system on chip (SoC) to date, the Kirin 980. Manufactured with the 7nm process, incorporating the Cortex-A76-based CPU and Mali-G76 GPU, the SoC offers improved performance and, according to Huawei, “an unprecedented smooth user experience”.
The new 40W Huawei SuperCharge, 15W Huawei Wireless Quick Charge, and large batteries work in tandem to provide users with improved battery life. A Matrix Camera System includes a Leica Ultra Wide Angle Lens that lets users see both wider and closer, with a new macro distance capability. The camera system adopts a Four-Point Design that gives the device a distinct visual identity.
The Mate 20 Series is available in 6.53-inch, 6.39-inch and 7.2-inch sizes, across four devices: Huawei Mate 20, Mate 20 Pro, Mate 20 X and Porsche Design Huawei Mate 20 RS. They ship with the customisable Android P-based EMUI 9 operating system.
“Smartphones are an important entrance to the digital world,” said Richard Yu, CEO of Huawei Consumer BG, at the global launch in London last week. “The Huawei Mate 20 Series is designed to be the best ‘mate’ of consumers, accompanying and empowering them to enjoy a richer, more fulfilled life with their higher intelligence, unparalleled battery lives and powerful camera performance.”
The SoC fits 6.9 billion transistors within a die the size of a fingernail. Compared to Kirin 970, the latest chipset is equipped with a CPU that is claimed to be 75 percent more powerful, a GPU that is 46 percent more powerful and an NPU (neural processing unit) that is 226 percent more powerful. The efficiency of the components has also been elevated: the CPU is claimed to be 58 percent more efficient, the GPU 178 percent more efficient, and the NPU 182 percent more efficient. The Kirin 980 is the world’s first commercial SoC to use the Cortex-A76-based cores.
Huawei has designed a three-tier architecture that consists of two ultra-large cores, two large cores and four small cores. This allows the CPU to allocate the optimal amount of resources to heavy, medium and light tasks for greater efficiency, improving the performance of the SoC while enhancing battery life. The Kirin 980 is also the industry’s first SoC to be equipped with Dual-NPU, giving it higher On-Device AI processing capability to support AI applications.
Read more about the Mate 20 Pro’s connectivity, battery and camera on the next page.
How Quantum computing will change … everything?
Research labs, government agencies (NASA) and tech giants like Microsoft, IBM and Google are all focused on developing quantum theories first put forward in the 1970s. What’s more, a growing start-up quantum computing ecosystem is attracting hundreds of millions of investor dollars. Given this scenario, Forrester believes it is time for IT leaders to pay attention.
“We expect CIOs in life sciences, energy, defence, and manufacturing to see a deluge of hype from vendors and the media in the coming months,” says Forrester’s Brian Hopkins, VP, principal analyst serving CIOs and lead author of a report: A First Look at Quantum Computing. “Financial services, supply-chain, and healthcare firms will feel some of this as well. We see a market emerging, media interest on the rise, and client interest trickling in. It’s time for CIOs to take notice.”
The Forrester report gives some practical applications for quantum computing which helps contextualise its potential:
- Security could massively benefit from quantum computing. Factoring very large integers could break RSA-encrypted data, but could also be used to protect systems against malicious attempts.
- Supply chain managers could use quantum computing to gather and act on price information using minute-by-minute fluctuations in supply and demand
- Robotics engineers could determine the best parameters to use in deep-learning models that recognise and react to objects in computer vision
- Quantum computing could be used to discover revolutionary new molecules making use of the petabytes of data that studies are now producing. This would significantly benefit many organisations in the material and life sciences verticals – particularly those trying to create more cost-effective electric car batteries which still depend on expensive and rare materials.
Continue reading to find out how Quantum computing differs.