Consensus
9 hours ago in Pleiotropy



The suggestion that we occupy a privileged position near the center of a large, nonlinear, and nearly spherical void has recently attracted much attention as an alternative to dark energy. Putting aside the philosophical problems with this scenario, we perform the most complete and up-to-date comparison with cosmological data. We use supernovae and the full cosmic microwave background spectrum as the basis of our analysis. We also include constraints from radial baryonic acoustic oscillations, the local Hubble rate, age, big bang nucleosynthesis, the Compton y-distortion, and for the first time include the local amplitude of matter fluctuations, σ8. These all paint a consistent picture in which voids are in severe tension with the data. In particular, void models predict a very low local Hubble rate, suffer from an "old age problem", and predict much less local structure than is observed.The paper makes several quantitative arguments against the plausibility any kind of void model for cosmic acceleration by drawing together an impressive amount of cosmological data and technical expertise, however, they don't ever mention the term Hubble Bubble. A 2007 paper by Conley et al. takes the Hubble Bubble paradigm head on: Is There Evidence for a Hubble Bubble? The Nature of Type Ia Supernova Colors and Dust in External Galaxies. In Conley et al. they explore how dust effects the colors of type Ia supernovae because they reason if the dust can be modeled as a purely local Milky Way effect then the supernovae data would actually favor the Hubble Bubble. Of course, despite difficulties the analysis, they find that in their parametrization there is evidence for more than the simply effect of local Milky Way dust implying doom for the Hubble Bubble. So the Hubble Bubble has been burst.
As we know,Today I read two things online that I really enjoyed and I realized that they are actually very connected. On The Blog of Steve Shwartz I read that No One Knows What the F*** They're Doing (or "The 3 Types of Knowledge") and couldn't agree more (for example, I certainly don't know what I am doing). And in Nature I read about An upper limit on the contribution of accreting white dwarfs to the type Ia supernova rate (and the arXiv preprint here) which raised questions about possible systematics in the use of supernovae in cosmology. The abstract from the nature article:
There are known knowns.
There are things we know we know.
We also know
There are known unknowns.
That is to say
We know there are some things
We do not know.
But there are also unknown unknowns,
The ones we don’t know
We don’t know.
—Donald Rumsfeld, Feb. 12, 2002, Department of Defense news briefing
There is wide agreement that type Ia supernovae (used as standard candles for cosmology) are associated with the thermonuclear explosions of white dwarf stars. The nuclear runaway that leads to the explosion could start in a white dwarf gradually accumulating matter from a companion star until it reaches the Chandrasekhar limit, or could be triggered by the merger of two white dwarfs in a compact binary system. The X-ray signatures of these two possible paths are very different. Whereas no strong electromagnetic emission is expected in the merger scenario until shortly before the supernova, the white dwarf accreting material from the normal star becomes a source of copious X-rays for about 107 years before the explosion. This offers a means of determining which path dominates. Here we report that the observed X-ray flux from six nearby elliptical galaxies and galaxy bulges is a factor of ~30–50 less than predicted in the accretion scenario, based upon an estimate of the supernova rate from their K-band luminosities. We conclude that no more than about five per cent of type Ia supernovae in early-type galaxies can be produced by white dwarfs in accreting binary systems, unless their progenitors are much younger than the bulk of the stellar population in these galaxies, or explosions of sub-Chandrasekhar white dwarfs make a significant contribution to the supernova rate.So, what the researchers found using Chandra data is observational evidence that type Ia supernovae are not simply explosions of Chandrasekhar mass white dwarfs, which would have been the simple case. The 'classic' picture is that when the amount of material accreted onto a white dwarf exceeds the Chandrasekhar mass the dwarf explodes:

In this paper we examine potential anomalies and present analyses and assessments of their significance. In most cases we find that claimed anomalies depend on posterior selection of some aspect or subset of the data. Compared with sky simulations based on the best fit model, one can select for low probability features of the WMAP data. Low probability features are expected, but it is not usually straightforward to determine whether any particular low probability feature is the result of the a posteriori selection or non-standard cosmology. Hypothesis testing could, of course, always reveal an alternate model that is statistically favored, but there is currently no model that is more compelling. We find that two cold spots on the map are normal CMB fluctuations. We also find that that the amplitude of the quadrupole is well within the expected 95% confidence range and therefore is not anomalously low. We find no significant anomaly with a lack of large angular scale CMB power for the best-fit CDM model. We examine in detail the properties of the power spectrum data with respect to the CDM model and find no significant anomalies. The quadrupole and octupole components of the CMB sky are remarkably aligned, but we find that this is not due to any single map feature; it results from the statistical combination of the full sky anisotropy pattern. It may be due, in part, to chance alignments between the primary and secondary anisotropy, but this only shifts the coincidence from within the last scattering surface to between it and the local matter density distribution. This alignment has been known for years and yet no theory has replaced CDM as more compelling. We examine claims of a hemispherical or dipole power asymmetry across the sky and find that the evidence for these claim is not statistically significant. We confirm the claim of a strong quadrupolar power asymmetry effect, but there is considerable evidence that the effect is not cosmological. The likely explanation is an insufficient handling of beam asymmetries. We conclude that there is no compelling evidence for deviations from the CDM model, which is generally an acceptable statistical fit to WMAP and other cosmological data.In case no one ever told you, the answer to any question asked in a paper's title is no. So if you make an arbitrary decision on how to run statistical analysis on your data (like something as a trivial as a tuned bin size in a histogram) this imposes a posterior selection on the data which will likely effect your conclusion. In order to draw conclusions about such a complicated observation (I began by saying this was all simple and I maintain that, but the instrument and detectors taking the observations are not simple) you must run Monte Carlo simulations to determine expected deviations from your model. So in conclusion cosmic variance limited data will necessarily show probabilistically unlikely events, and the cosmos isn't strange people are strange. Though this certainly isn't the end of probing the CMB with the PLANCK mission currently flying and CMB polarization just being explored. We still want to know how closely natures matches our theory, exactly or not exactly? And I will give you a hint here, you can always measure again so if you have to ask...










Galaxy Zoo is the worlds largest astronomy collaboration with over a hundred thousand collaborators. I mentioned Galaxy Zoo some time ago, but since then they have doubled the number of papers published from their collaboration and launched Galaxy Zoo 2. I want to discuss the impetus, implementation, and some of the results of the project here. It begins with the desire of astronomers to classify galaxies. And why would you want to classify galaxies? Well in order to learn about the cosmos, that is to learn about the properties of merging galaxies in the local universe, to learn about galaxy star formation, or to learn about the intrinsic spin of galaxies in our universe you may need to classify galaxies. The Galaxy Zoo collaboration has implemented the citizen science or crowd sourcing model in order to classify the million or so images of galaxies taken by robotic telescopes (like the Sloan Digital Sky Survey, SDSS, which produces images just like those seen here). Many years ago astronomers only had to inspect astronomical images by eye from photographic plates. The digital revolution has brought computers to bear on the problem as astronomers have implemented machine learning techniques such as neural networks in order to identify spiral from elliptical galaxies, but approaches like nueral networks are still limited by their training set size and are prone to errors. So as robotic survey telescopes have allowed us to gather a fantastic amounts of data technology has not been so successful at making sense of that data.
I want to contribute to science
After establishing and correcting for a certain level of bias in our handedness results we find the winding sense of the galaxies to be consistent with statistical isotropy. In particular we find no significant dipole signal, and thus no evidence for overall preferred handedness of the Universe.This may seem like an obvious result because it is intuitively correct, but it is important to verify observationally what seems intuitively correct and further previous studies had found evidence for non statistical isotropy.
The unique discovery of Hanny's Voorwerp was made possible only by the citizen scientists of the project. Hanny's Voorwerp is a green amoeba like blob next to a spiral galaxy that was discovered by a galaxy zoo volunteer, Hanny van Arkel, and hence the name of the object. It appears green in some optical images because of bright emission lines that dominate in the SDDS g band. Spectral analyis has shown that it is a highly ionized region leading to the hypothesis that it is the result of a powerful transient outburst because whatever energized the blob is now gone. Researchers hypothesize that Hanny's Voorwerp is a quasar light echo:Hanny’s Voorwerp, is bright in the SDSS g band due to unusually strong [OIII] 4959, 5007 emission lines. We present the results of the first targeted observations of the object in the optical, UV and X-ray, which show that the object contains highly ionized gas. Although the line ratios are similar to extended emission-line regions near luminous AGN, the source of this ionization is not apparent. The emission-line properties, and lack of x-ray emission from IC 2497, suggest either a highly obscured AGN with a novel geometry arranged to allow photoionization of the object but not the galaxy’s own circumnuclear gas, or, as we argue, the first detection of a quasar light echo. In this case, either the luminosity of the central source has decreased dramatically or else the obscuration in the system has increased within 105 years. This object may thus represent the first direct probe of quasar history on these timescales.
The result of users classifying galaxies as mergers were 3000 prime candidates with which they wanted to compare to simulations. The goal of Galaxy Zoo 2 is to understand cosmic mergers. They use the crowd source model again because this allows exploring the entire parameter space quickly whereas a machine may often find a local solution, but would be limited in knowledge of unique solutions. Galaxy Zoo 2 presents you, the user, with a 3x3 grid of galaxies. At the center is a real image of a galaxy and surrounding it are 8 simulated galaxies. You must select which simulations match the real image best. If you don't like any of your options you can click a button at the top and you get a slot machine effect of 8 new galaxies. It is very satisfying to demand random sets of galaxies and wait for a winner that matches what you are looking for. I found myself looking at upwards of 500 galaxies for each galaxy merger I classified which sounds absurd until you try it and see how easy it is. After selecting a few galaxies you can fine tune your selected simulations within parameter space and then select your final best simulation. The entire application runs the simluations locally on the user's machine in Java so the Zoo leverages everything a user has to offer from their computer's CPU to their brain.One estimate was that over 240,000 meteors fell during that period, so many meteors in the sky at a time that many people were woken from their beds and stared at the sky in panic, believing the sky to be on fire. Many feared that it was the end of the world and dreaded what they would see at daybreak.Update: I should clarify that when I refer to debris left by Temple-Tuttle I am referring to debris left by Temple-Tuttle's previous close passages to the sun which may have occurred long ago. For example the most recent close passage of Temple-Tuttle to the sun was 1998, but most of the meteorites seen in this shower were left by debris trails originating from passages in 1466 and 1533. And finally here is a cool meteor detector that works by detecting reflected radio waves from the ionized trails created by particles of rock entering the upper atmosphere.