ESA’s next science mission to focus on nature of exoplanets
The nature of planets orbiting stars in other systems will be the focus for ESA’s fourth medium-class science mission, to be launched in mid 2028.
Ariel, the Atmospheric Remote‐sensing Infrared Exoplanet Large‐survey mission, was selected by ESA today as part of its Cosmic Vision plan.
The mission addresses one of the key themes of Cosmic Vision: What are the conditions for planet formation and the emergence of life?
Thousands of exoplanets have already been discovered with a huge range of masses, sizes and orbits, but there is no apparent pattern linking these characteristics to the nature of the parent star. In particular, there is a gap in our knowledge of how the planet’s chemistry is linked to the environment where it formed, or whether the type of host star drives the physics and chemistry of the planet’s evolution.
Ariel will address fundamental questions on what exoplanets are made of and how planetary systems form and evolve by investigating the atmospheres of hundreds of planets orbiting different types of stars, enabling the diversity of properties of both individual planets as well as within populations to be assessed.
Observations of these worlds will give insights into the early stages of planetary and atmospheric formation, and their subsequent evolution, in turn contributing to put our own Solar System in context.
“Ariel is a logical next step in exoplanet science, allowing us to progress on key science questions regarding their formation and evolution, while also helping us to understand Earth’s place in the Universe,” says Günther Hasinger, ESA Director of Science.
“Ariel will allow European scientists to maintain competitiveness in this dynamic field. It will build on the experiences and knowledge gained from previous exoplanet missions.”
The mission will focus on warm and hot planets, ranging from super-Earths to gas giants orbiting close to their parent stars, taking advantage of their well-mixed atmospheres to decipher their bulk composition.
Ariel will measure the chemical fingerprints of the atmospheres as the planet crosses in front of its host star, observing the amount of dimming at a precision level of 10–100 parts per million relative to the star.
As well as detecting signs of well-known ingredients such as water vapour, carbon dioxide and methane, it will also be able to measure more exotic metallic compounds, putting the planet in context of the chemical environment of the host star.
For a select number of planets, Ariel will also perform a deep survey of their cloud systems and study seasonal and daily atmospheric variations.
Ariel’s metre-class telescope will operate at visible and infrared wavelengths. It will be launched on ESA’s new Ariane 6 rocket from Europe’s spaceport in Kourou in mid 2028. It will operate from an orbit around the second Lagrange point, L2, 1.5 million kilometres directly ‘behind’ Earth as viewed from the Sun, on an initial four-year mission.
Following its selection by ESA’s Science Programme Committee, the mission will continue into another round of detailed mission study to define the satellite’s design. This would lead to the ‘adoption’ of the mission – presently planned for 2020 – following which an industrial contractor will be selected to build it.
Ariel was chosen from three candidates, competing against the space plasma physics mission Thor (Turbulence Heating ObserveR) and the high-energy astrophysics mission Xipe (X-ray Imaging Polarimetry Explorer).
Solar Orbiter, Euclid and Plato have already been selected as medium-class missions.
Lanterns! (at Molly Woo's)
https://phys.org/news/2018-06-laser-technology-success-particle.html
Here's a Great App for Listening to Radio_Stations online! Simple Radio - Live AM & FM Radio Stations by Streema, Inc.
Trees on Extrasolar Habitable Worlds could be Black, Purple or Red as well as Green.
http://embed.ted.com/talks/brian_greene_why_is_our_universe_fine_tuned_for_life.html
We could be Living in a Multi_Verse.
Glass Gem is a unique strain of corn with kernels that look like pieces of rainbow-colored glass. Source
Carl Barnes, an Oklahoma farmer, started growing older corn varieties to connect with his Cherokee heritage.
He isolated ancestral strains Native American tribes lost in the 1800s when they were relocated to Oklahoma.
Soon he began exchanging ancient corn seed with growers from all over the country, while simultaneously saving and replanting seeds from the most colorful cobs.
This eventually resulted in rainbow-colored corn.
When the rainbow corn mixed with the traditional varieties it created new strains, displaying more vibrant colors and patterns over time.
Glass Gem is a flint corn, so it isn’t really eaten off the cob. It’s usually ground into cornmeal and used in tortillas or grits, but it can also be used to make popcorn.
If you love corn and rainbows, seeds can be purchased online for about $7.95.
Humanity might now be ignoring its’ First Chance to send a Deep_Space Exploration Probe to a real Oort_Cloud Object for The Time in History!
How to write Computer Code.
http://www.newsweek.com/2016/06/24/3d-printing-makerbot-stratasys-469704.html
The Age of 3D_Printing has indeed finally begun!
See on Scoop.it - Knowmads, Infocology of the future
When Joe Weizenbaum found his secretary using a computer program he had created, he was so upset he devoted the rest of his life to warning people not to use its technology. The program was “Eliza”, which gives a passable imitation of a nondirectional psychiatrist; you type sentences such as: “I wonder what I should write,” and it replies :“What answer would please you the most?” (You can try a version at psych.fullerton.edu/mbirnbaum/psych101/Eliza.htm). Weizenbaum’s distress came because he had written Eliza as an experiment, to see whether he could simulate “artificial intelligence” in a question-and-answer system by parsing sentences and throwing relevant bits back at the questioner. But his secretary saw it as real, and asked him not to intrude on “sessions”; Weizenbaum saw this as an omen that we would be too easily fooled into trusting machines.
See on theguardian.com