ZapperZ said:
Peer review is never a guarantee that something is valid. Both OPERA and BICEP2 results were published in peer-reviewed journals.
I think this qualifies as "jumping in prematurely".:D We know that the OPERA result is invalid. We don't know that the BICEP2 result is invalid.
In fact, there is a recent result that makes the PLANCK result more likely invalid. A group took the Planck extrapolation data which is now released, compared it with the released BICEP2 data, and concluded that Planck likely saw noise rather than dust - wrong signature, little match to the actual data - something that Planck has had problems with before IIRC. (E.g. their initial delay due to spurious noise in some data channels.)
"The two maps show a positive correlation coefficient of 15.2% +/- 3.9% (1-sigma). This requires the amplitude of the Planck (50 < l <120) dust modes to be low in the BICEP2 region, and the majority of the Planck 353 GHz signal in the BICEP2 region in these modes to be noise. We can explain the observed correlation coefficient of 15.2% with a BICEP2 gravity wave signal with an rms amplitude equal to 54% of the total BICEP2 rms amplitude. The gravity wave signal corresponds to a tensor-to-scalar ratio r = 0.11 +/- 0.04 (1-sigma). This is consistent with a gravity wave signal having been detected, at a 2.5-sigma level."
But it's an arxiv paper so far. And the mutual data comparison between the groups isn't done yet, so maybe Planck did see what they claimed they saw.
[
http://arxiv.org/abs/1409.4491 ]
Re axions, if the BICEP2 observations isn't all dust, I think an axion related mechanism of some sort is also the prime model for predicting the inflation field at such strengths. The usual scalar fields won't do I gather, problems with trans-Planckian values, but that axion mechanism will.
Usually people who get signals that correlates with the seasons would go "bad experiment, large systematic effects", so I would add systematic effect elimination to the usual difficulties to get away from spurious statistics and "look elsewhere" effects with data-fishing for signals.