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[1403.3985]
BICEP2 I: Detection Of Bmode Polarization at Degree Angular Scales

Authors:  BICEP2 Collaboration: P. A. R Ade (1), R. W. Aikin (2), D. Barkats (3), S. J. Benton (4), C. A. Bischoff (5), J. J. Bock (2,6), J. A. Brevik (2), I. Buder (5), E. Bullock (7), C. D. Dowell (6), L. Duband (8), J. P. Filippini (2), S. Fliescher 
Abstract:  We report results from the BICEP2 experiment, a Cosmic Microwave Background
(CMB) polarimeter specifically designed to search for the signal of
inflationary gravitational waves in the Bmode power spectrum around l=80. The
telescope comprised a 26 cm aperture allcold refracting optical system
equipped with a focal plane of 512 antenna coupled transition edge sensor (TES)
150 GHz bolometers each with temperature sensitivity of approx. 300 uk.sqrt(s).
BICEP2 observed from the South Pole for three seasons from 2010 to 2012. A
lowforeground region of sky with an effective area of 380 square degrees was
observed to a depth of 87 nKdegrees in Stokes Q and U. In this paper we
describe the observations, data reduction, maps, simulations and results. We
find an excess of Bmode power over the base lensedLCDM expectation in the
range 30<l<150, inconsistent with the null hypothesis at a significance of
$>5\sigma$. Through jackknife tests and simulations based on detailed
calibration measurements we show that systematic contamination is much smaller
than the observed excess. We also estimate potential foreground signals and
find that available models predict these to be considerably smaller than the
observed signal. These foreground models possess no significant
crosscorrelation with our maps. Additionally, crosscorrelating BICEP2 against
100 GHz maps from the BICEP1 experiment, the excess signal is confirmed with
$3\sigma$ significance and its spectral index is found to be consistent with
that of the CMB, disfavoring synchrotron or dust at $2.3\sigma$ and
$2.2\sigma$, respectively. The observed Bmode power spectrum is wellfit by a
lensedLCDM + tensor theoretical model with tensor/scalar ratio
$r=0.20^{+0.07}_{0.05}$, with r=0 disfavored at $7.0\sigma$. Subtracting the
best available estimate for foreground dust modifies the likelihood slightly so
that r=0 is disfavored at $5.9\sigma$. 

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Antony Lewis
Joined: 23 Sep 2004 Posts: 1292 Affiliation: University of Sussex

Posted: March 19 2014 


What an amazing result, which raises a lot of interesting questions!
The highlooking points at l > 150 are obviously a concern: without using Keck array data the shape of expected primordial tensor B spectrum is not there. Taken at face value (which the authors warn against) it seems to favour a lot more power on subhorizon scales than you'd expect from either primordial tensors or lensing. Combined with Planck's preference for a low TT plateau, which disfavours a large tensor amplitude on large scales, a naive application of the Planck+WP+BICEP likelihood to LCDM+r+n_{T} seems to favour a very noninflationary n_{T} > 0:
Of course this should not be taken too seriously, since the Keck crosscorrelation (their Fig 9) does seem to indicate something more like the expected shape at higher ls, increasing overall confidence in the result and interpretation. The Keck points look systematically lower, which might indicate ultimately something closer to , and consistent with near scaleinvariance. Hopefully more data from Keck will pin this down one way or another in relatively short order.
Even if you assume an inflationary consistency relation for n_{T} so that it is nearly scaleinvariant, the paper points out that the combination with the preference for low power on large scales in Planck then drives a preference for significantly lower scalar power on large scales than you'd expect from a nearly constant n_{s} vanilla LCDM model. For example allowing running Planck+WP+BICEP gives (95%):
Of course anything else that can lower the largescale scalar TT can also help to improve consistency, for example a sterile neutrinos allows for bluer n_{s} and hence lower largescale scalar power:
( gives roughly scale invariant n_{s} and fits about as well as running, though it is hard to motivate an extra sterile neutrino that thermalized at about the same temperature as the active neutrinos, and it is unlikely to improve joint fits on its own)
I look forward to seeing papers on inflationary transients that only strongly affect large scales (e.g. from bubble nucleation, fastroll, etc) very shortly...
Please note above plots are just a preliminary quicklook and come with usual health warnings. 

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Sesh Nadathur
Joined: 19 Mar 2014 Posts: 3 Affiliation: University of Helsinki

Posted: March 19 2014 


When fitting to BICEP data do you use bandpowers 1−5 only (as in their paper), or all bandpowers 1−9? 

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Subodh Patil
Joined: 20 Mar 2014 Posts: 3 Affiliation: CERN

Posted: March 20 2014 


Lots of interesting questions indeed! Although the cross correlation with Keck data does show more of the expected shape at high l's, doesn't it still point to a lack of power at lower l's (c.f. fig 9 of the above reference), suggesting that a preference for a blue tilt would persist in the B2 x Keck cross correlation?
I understand as a naive theorist that there may be lots of remaining foreground issues, uncertainties from polarized dust, EE contamination, sods law etc to be sorted out, but just to put it out there– there are some models of structure formation that can easily generate a large tensor to scalar ratio, which moreover, have predicted a blue tensor tilt that is complimentary to the scalar tilt–
http://arxiv.org/abs/1403.4927
http://arxiv.org/abs/hepth/0604126 

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Antony Lewis
Joined: 23 Sep 2004 Posts: 1292 Affiliation: University of Sussex

Posted: March 20 2014 


This was using E and B from all 9 bins. Nonn_{T} joint constraints don't change very much if you restrict to only five bins or use only B.
If you very crudely replace the BICEP2 points in the likelihood with the BICEP2xKECK points from the figure (thanks Adam Moss), assuming window, covariance, etc, are unchanged, and use just BB, things do change a bit more. For example the n_{T} plot then looks like this:
Here much of the pull to higher n_{T} is presumably coming from the tension with Planck lowll rather than the BB spectrum directly, though at least it now looks marginally consistent with scale invariant.
Although the crosslikelihood is a fudge, it does seem to be a reasonable handle on the size of nonforeground systematic errors; the value of r shifts down a bit, as also shown here as the contour superimposed on the BICEP2+Planck sample points:
So the Planck+BICEP+running constraint shifts from r_{0.002} = 0.22±0.11 (95%) to about r_{0.002} = 0.14±0.09, though still preferring running at over 2σ. Note that in running models r_{0.002} gets larger because the largescale scalar power is decreasing even for the same tensor amplitude; the corresponding numbers at smaller scales are r_{0.05} = 0.2±0.08 and r_{0.05} = 0.13±0.8.
Allowing for foregrounds could reduce this by a further 0.04 or so in the BICEP models, taking the signal to a level r≈ 0.1, which sits a bit more comfortably with Planck in simplest inflation scenarios, though tensions in the lowl platau would remain. 

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Sesh Nadathur
Joined: 19 Mar 2014 Posts: 3 Affiliation: University of Helsinki

Posted: March 20 2014 


The BICEP team are explicitly cautioning against drawing any conclusions from the Keck data, which are still preliminary. For instance, although one could use the B2xKeck spectrum to speculate that with KeckxKeck the high points might come down, at low B2xKeck appears to be consistent with or lower than B2xB1  and of course B1xB1 shows no detection of r.
But if the preference for blue n_{T} comes as much from Planck low TT as from any of the high BB points, then perhaps any detection of sizable r would also favour a blue tilt. 

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Sesh Nadathur
Joined: 19 Mar 2014 Posts: 3 Affiliation: University of Helsinki

Posted: March 20 2014 


Actually, my naive speculations were probably completely offbase because the Keck error bars will be so much smaller than B1 ... 

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Subodh Patil
Joined: 20 Mar 2014 Posts: 3 Affiliation: CERN

Posted: March 20 2014 


Thanks, Antony. This is incredibly informative!
Early days yet, but just to comment specifically on the `early transient' models of inflation that exploit initial time fast roll– you'd need a trajectory that stays off attractor for long enough, or a very tuned (and transiently nonflat) potential to get the requisite suppression of power at in large scales. Both of these are in tension with the shift symmetry seemingly required by a the superPlanckian field excursion over the scales we're seeing in the CMB that r = 0.2 implies.
Another naive question to anyone who may know: my understanding was that if r turned out to be of the order of 0.01  0.001, we would have needed a PRISM like observation to have meaningfully measured a tilt to anywhere close the accuracy with which we measure the scalar tilt. Now that the indications are that r is at least ten times larger than than, could ground based observations get ever get to the stage where their measurements of the tensor tilt can be comparable to the measurement of the scalar tilt? i.e. if actually there, could one hope even in principle to infer the tensor spectrum to be > 0 with greater than at least 3 sigma confidence, say, from the ground? what are ACTPol and SPTPol's sensitivities in light of r possibly being ~ 0.2? 

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Antony Lewis
Joined: 23 Sep 2004 Posts: 1292 Affiliation: University of Sussex

Posted: March 20 2014 


The tensor tilt is limited by cosmic variance for large r values, and the BB spectrum falls rapidly at l > 150. This gives a significantly smaller leverarm than with TT and larger cosmic variance on the smallest scales you can see: the ideal measurement of n_{T} from the CMB alone would be like measuring n_{s} from Planck restricted roughly to (without parameter degeneracies). So the best you could do is not good enough to distinguish inflation models that differ only by Δn_{T} = O(  n_{s} − 1  ). See astroph/0305411. 

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Antony Lewis
Joined: 23 Sep 2004 Posts: 1292 Affiliation: University of Sussex

Posted: March 20 2014 


For people interested in how parameters move around with different parameter and data combinations, and a more detailed comparison of shifts moving from BICEP2 to fudged BICEP2xKECK BB, here are provisional parameter constraints from a grid of models (including breakdowns of bestfit chisquareds) as output from CosmoMC March 2014 version:
bicep_planck.pdf 

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Anze Slosar
Joined: 24 Sep 2004 Posts: 205 Affiliation: Brookhaven National Laboratory

Posted: March 21 2014 


Ok, before I die by tables, is it right that the bottom line is that surprisingly little changes if you add bicep, with or without running? The usual lowz suspects like Om, sigma8 and h remain pretty much unchanged... In other words, low redshift probes will have hard time telling these scenarios apart. 

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Subodh Patil
Joined: 20 Mar 2014 Posts: 3 Affiliation: CERN

Posted: March 21 2014 


Thanks for that reference, Antony. I wasn't aware of it. If I understand their detectability limits correctly (specifically their fig 3), then it appears that if r > 0.1, one can expect Δ n_{T} 0.01 to 0.03 as one ranges the angular resolution of the observation from 1' to 5' and Δ_{p} = ω^{−1/2} (where ω is the weight per solid angle of the stokes parameters) ranges from 15√(2) to √(2) μ K...
This is clearly a very interesting range as far as testing various universality classes of inflationary realizations/ alternatives to inflation are concerned. I'm curious how the various planned/ in progress ground/ space based polarization observations stack up wrt those specs... 

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Antony Lewis
Joined: 23 Sep 2004 Posts: 1292 Affiliation: University of Sussex

Posted: March 21 2014 


Thanks for pointing that out, I think I misremembered the details. The error on n_{T} will always be much worse than the error on n_{s} for sure if you measure to small scales, but as you say it looks as though you can still in principle just get something potentially useful for large . 

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Antony Lewis
Joined: 23 Sep 2004 Posts: 1292 Affiliation: University of Sussex

Posted: March 22 2014 


There's another interesting point regarding tensor tilt (pointed out to me by Antony Challinor), in that the shape of the largescale BB spectrum is close white. This comes from the blue spectrum of the sources, so that the lowL (but above reionization) scales in BB are dominated by signiciantly smaller horizonsize modes. The closetowhite shape tells you very little about the spectrum of the underlying sources except that they are quite blue (the same thing happens for the l < 1000 white lensing BB, and also largescale 21cm/number count angular power spectra with sharp window functions). The large values of n_{T} seen in the above plots therefore work better than you might expect, since the actual range of scales being probed by the BICEP data points is significantly narrowed that you you might expect.
This is illustrated in the following figure of the (normalized) tensormode transfer functions
This shows where in k each observable C_{l} is coming from. Vertical lines denote l = kχ_{ * }, and the bottom panel is the middle paanel (for exact L values L=45,73,109,144) multiplied by the BICEP window functions. As you can see at the same L < 100, the TT tensor constributions come from a significantly larger scale than the BB contributions, which bunch up around 0.01/Mpc. You can therefore significantly lower the tensor contributions to Planck TT while keeping the BICEP data points roughly the same, by putting most of the tensor power around 0.01/Mpc. 

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Gansukh Tumurtushaa
Joined: 05 Oct 2013 Posts: 34 Affiliation: Sogang univ.

Posted: August 15 2014 


Dear all,
I have little bit confused with a difference of the following two data,
first one is a result of BICEP2(lets say A) for r_{0.002} vs n_{s} which shown here, http://bicepkeck.org/B2_2014_i_figs/running_rvsns.pdf, and
second one is the one posted above, r_{0.002} vs n_{s} plot (lets say B) with combinations of green,+grey, +red, and +blue).
The problem is that on both blue contours of A and the grey contours of B shows the same r_{0.002} vs n_{s} plot of Planck+WP+highL+BICEP2 data with running. But if you look carefully at the contours, then you will see that the r_{0.002} values are different from one another. Therefore my question is simply why they are different while data sets are same for both? Does anyone can explain me? that would be highly appreciated.
Another simple question is that what does the 0.002 or 0.5 the subscript of r imply? I think they are the value of k_{0} which appear in the denominator of the expression of the power spectrum like P_{s}=A_{s}(k/k_{0})^{ns−1}. Is that right?
Thank you in advance. 

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