This page contains a Flash digital edition of a book.

This content requires Macromedia Flash Player version 8 or later. Get Flash.

If you believe you do have Macromedia Flash Player version 8 or later installed, there is a problem with your Flash installation and we were unable to detect it. Please follow the solution in Adobe TechNote 7d1862a to resolve this issue.

Attempt to view the Digital Edition anyway.
Always attempt to Digital Edition content anyway (sets a cookie)

Secrets stars


of the


Felix Grant finds plenty of uses for statistical software in astronomy


I


n the bizarrely nonsensical words from my school days, ‘Mary Voraciously Eats Mother’s Jam Sandwiches Under No Protest’. In case your own childhood


did not include that particular mnemonic phrase, it represented the sequence of planets outward from the sun. Pluto has since been demoted, and new


mnemonics have emerged, but that needn’t trouble us here, because the imaginative focus of interplanetary attention is now on Mother’s Jam: that is, on Mars and Jupiter. Last year, US president Barack Obama envisaged a human landing on Mars in the mid-2030s and NASA’s Ames Research Centre has jointly invested, with DARPA, in the idea of a one-way Mars colonisation project. Russian plans over similar time frames include robotic exploration of Mars’ moons. As you read this, NASA’s Juno mission will be several weeks into its five-year journey to Jupiter. At a less romantic, but perhaps more


Orbital image of the Ma’adim Vallis flow channel on Mars, entering the Gusev crater at the top of the frame Source: NASA


12 SCIENTIFIC COMPUTING WORLD


immediately practical level, there is also interest in the sweep of rocky space between them: the asteroid belt. On one level, it is a valuable scientific repository of ‘cosmological memory’. At another, all exploration has, behind its heroic image, investment in the hope of economic return. The asteroids hold out the tantalising dreams of achieving that return well within a human lifetime; Mars within a century; Jupiter only in the much more distant future. Obama’s vision for NASA includes not only the Mars mission, but an asteroid-ready heavy lift rocket design to be complete ‘no later than 2015’, and the realities of returning from asteroid to earth orbit are trivial compared to Mars. Mars has, of course, so far been


subjected to more extensive examination than any other extraterrestrial target apart


from Earth’s own moon. A dozen or so programmes have, despite numerous failures, built up a knowledge base upon which projected US, European, Russian and Chinese successors plan to build over the next decade or so. The asteroids have mostly been studied remotely, usually in passing while on the way to somewhere else, but greater direct attention is now being paid to them. From an economic standpoint, they represent a potential resource for materials which would otherwise have to be lifted out of Earth’s gravity well (and finite supply) at immense cost. In all cases, however, before the economic


return comes investment in study – based upon huge programmes of data analysis. The next big event on the Martian


exploration calendar is the Mars Science Laboratory (MSL), scheduled to launch later this year for arrival next summer. MSL plans centre on a nuclear-powered rover vehicle, named Curiosity, which will operate as a ‘robot geologist’ on the surface for a full 687-day Martian year. MSL will conduct experiments in situ and is provided with analytic hardware and software for the purpose. ChemCam, a new laser-induced


breakdown spectroscopy (LIBS) instrument suite designed for extraterrestrial applications, will get its first real-life outing on Curiosity. Using the laser to ablate material into a plasma plume from surfaces up to seven metres away, LIBS allows compositional study of any surface to which the rover can get a reasonably close line of sight. This will be the first time that direct data acquisition and analysis for light elements on the planet’s surface has been possible, and the primary object of the exercise[1]


is to identify ‘materials and www.scientific-computing.com


Page 1  |  Page 2  |  Page 3  |  Page 4  |  Page 5  |  Page 6  |  Page 7  |  Page 8  |  Page 9  |  Page 10  |  Page 11  |  Page 12  |  Page 13  |  Page 14  |  Page 15  |  Page 16  |  Page 17  |  Page 18  |  Page 19  |  Page 20  |  Page 21  |  Page 22  |  Page 23  |  Page 24  |  Page 25  |  Page 26  |  Page 27  |  Page 28  |  Page 29  |  Page 30  |  Page 31  |  Page 32  |  Page 33  |  Page 34  |  Page 35  |  Page 36  |  Page 37  |  Page 38  |  Page 39  |  Page 40  |  Page 41  |  Page 42  |  Page 43  |  Page 44  |  Page 45  |  Page 46  |  Page 47  |  Page 48  |  Page 49  |  Page 50  |  Page 51  |  Page 52