The Orbit Determination Program (ODP) of
NASA's Jet Propulsion Laboratory, which was used in the data analysis, is based
on an expression for the gravitational delay which differs from the standard
formula; this difference is of second order in powers of $m$ -- the sun's
gravitational radius -- but in Cassini's case it was much larger than the
expected order of magnitude $m^2/b$, where $b$ is the ray's closest approach
distance. Since the ODP does not account for any other second-order terms, it
is necessary, also in view of future more accurate experiments, to
systematically evaluate higher order corrections and to determine which terms
are significant.
Luís F. Simões on 15 Nov 10in related news: Twitter Mood Predicts The Stock Market "An analysis of almost 10 million tweets from 2008 shows how they can be used to predict stock market movements up to 6 days in advance" http://www.technologyreview.com/blog/arxiv/25900/ http://arxiv.org/abs/1010.3003
Francesco Biscani on 16 Nov 10Likewise, I can predict the statistical properties of white noise :-)
nikolas smyrlakis on 18 Nov 10the problem is that usually the google search queries and the twitter updates happen after a crisis for example. I dont really think that people all over the world suddenly realised that Lehman would collapse and started googling it like crazy before it collapsed. More likely they did it afterwards.
