This is the enormous thought behind utilizing system reviews to help derive what's out there in the Universe. Rather than utilizing a sign from one "preview" in the Universe's past — which is the thing that the Cosmic Microwave Background gives us, for example — we can think back to a wide assortment of "depictions" on schedule by taking a gander at the conduct and properties of worlds at various good ways from us.
The key is to get that, on the biggest scales, the physical science administering the Universe really turns out to be moderately straightforward contrasted with what we gather by seeing limited scope, singular constructions. On the size of a solitary world, for instance, there are gigantic intricacies to consider. Gas and residue connect with starlight; bright radiation can ionize matter in the interstellar medium; gas mists breakdown, setting off new star development; as issue gets warmed up, it influences the dull matter in the galactic center; if star arrangement turns out to be too serious, the typical matter inside can get launched out. But, in spite of the entirety of that untidiness, and the perplexing exchange of dim matter with the material science of ordinary matter, singular cosmic systems can in any case disclose to you nothing about dim energy.
At the point when you take a gander at how systems bunch together on enormous grandiose scales, notwithstanding, there are really far less inadequately perceived intricacies to disrupt everything.
On the biggest scales — say, sizes of two or three huge number of light-years or more — you can show the Universe decently shortsightedly and still get some amazing forecasts for your difficulties. You can regard dim matter as a collisionless liquid, floating however not reacting to some other powers. You can show typical matter as huge yet with self-cooperations and with couplings to photons. You can regard photons as a shower of radiation that applies pressing factor and dissipates off of typical matter, however not dull matter. What's more, you can overlap in dim energy too, and afterward run your recreations from early occasions up through and including the current day.
The thought is that by making a huge arrangement of "mock indexes" of worlds dependent on slight contrasts in cosmological boundaries. You would then be able to assess them dependent on whichever detectable rules you pick. How do worlds bunch together? What amount does the presence of mass misshape the normal evident states of universes? Furthermore, what happens when we attempt to cross-connect the wellsprings of lensing with the genuine places of universes in our index? The appropriate responses are exceptionally touchy to the arrangement of the Universe we decide to consider.
That is all on the hypothesis side. You run reproductions, you assess them, and you extricate what sets of observables compare to being steady or conflicting with every one.
In any case, astronomy is somewhat not quite the same as physical science. While physical science is an exploratory science, astronomy is an observational one. You can just scrutinize the Universe to the extent that you can notice it. Except if your perceptions are far reaching and immaculate — which means you can see everything precisely for what it's worth — you have countless impacts you need to represent.
For instance, your perceptions:
are restricted by goal, as articles excessively near one another will show up as a solitary source,
are restricted by splendor, as articles that are too weak will not show up,
are restricted by redshift, as an item that is too seriously redshifted will at this point don't fall inside your telescope's affectability range,
have frustrating components at play, for example, not having the option to recognize, for singular items, the amount of the redshift is because of a system's movement versus what amount is because of the development of the Universe,
also, various different elements. All things considered, the way to interfacing hypothesis and perception is to represent these issues as well as could be expected, and afterward look at your noticed and-examined informational collection with your hypothetically created/recreated ones, and see what you can find out about the Universe.
On May 27, 2021, the Dark Energy Survey coordinated effort delivered a progression of papers — 26 altogether (of an arranged 30, so 4 more are still to come) — specifying the outcomes from the biggest system study ever. Altogether, they studied 5,000 square levels of region, or what could be compared to about ⅛ of the whole sky. They got information on some ~226 million systems, including ~100 million of which were helpful for understanding vast shear (the shape twisting of universes).
Maybe above all, they had the option to put limitations, in view of this information, on various significant cosmological boundaries. These include:
what is the aggregate sum of issue (ordinary and dull, consolidated) in the Universe?
what is the condition of-condition of dull energy, and is it reliable with a cosmological consistent?
is there solid proof supporting either a higher (~73-74 km/s/Mpc) or a lower (~67 km/s/Mpc) extension rate?
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)
furthermore, are there different boundaries that contention with the boundaries deduced from different perceptions, similar to the size of the acoustic scale or the bunching adequacy?
All things considered, in the event that we need to make the case that we comprehend what the Universe is made of and what it's destiny should be, the various lines of proof that we gather should all highlight a similar in general, self-reliable picture.
Honestly, the Dark Energy Survey group truly got their work done. There are papers explicitly on an assortment of significant viewpoints to address, including blinding techniques when different vast tests are utilized, inside consistency tests with back prescient circulations, and how to measure pressures between Dark Energy Survey (system review) and Planck (CMB) information. There are additionally papers on the most proficient method to address systematics, on the best way to appropriately adjust their information for every one of the three pointers they're utilizing, and how to represent different types of inclination.
At the end of the day, this group of many researchers incorporated together the biggest galactic informational collection ever for these cosmological purposes, and got some terrific outcomes. Specifically, a few features are:
the absolute matter thickness is somewhere in the range of 31% and 37% of basic thickness, though Planck gave ~32%,
the dim energy condition of state is - 0.98 (with vulnerabilities of around 20%), while Planck gave - 1.03 and a cosmological steady is - 1.00, precisely,
the supported incentive for the extension rate, while Planck alone gave 67.4 km/s/Mpc, presently ascends to 68.1 km/s/Mpc when the Dark Energy Survey information is collapsed in,
furthermore, the best "strain" with Planck emerges in the worth of what cosmologists call S8, which you can consider as how firmly the Universe bunches together, as the Dark Energy Survey information favors a worth of 0.776, while Planck recently had supported a worth of 0.832. (Consolidated, the outcomes yield a worth of 0.815, solidly between the two.)
If you somehow managed to ask me — a hypothetical cosmologist who isn't essential for the Dark Energy Survey cooperation — what this all methods, I would probably summarize the outcomes in three focuses.
The Dark Energy Survey information, the biggest universe overview at any point led up until now, has, through three autonomous techniques, affirmed and refined the standard cosmological model.
At the point when Planck and Dark Energy Survey are taken together, we get an image that is basically unaltered from the Planck information alone: comparable matter thickness, comparative help for dim energy being a cosmological steady, comparative extension rate, and an incredibly, slight shift to what we call the grouping abundancy.
Furthermore, the improvements that have been made on the best way to deal with a particularly tremendous measure of information of this sort will be valuable as we plan ahead for enormous universe reviews, including ESA's Euclid, NSF's Vera Rubin Observatory, and NASA's Nancy Roman Telescope.
Truth be told, the greatest amazement they experienced was that the grouping abundancy and the lensing amplitudes, which should coordinate, seemed to conflict. Albeit this was examined finally in Section V of the primary outcomes paper, further examination concerning what could be causing or clarifying this issue is required.
In any case, this is no defense for the ludicrous features that have followed, with many promoting a grandiose secret that, as Dr. Niall Jeffrey from the Dark Energy Survey group put it, "in the event that this dissimilarity is valid, perhaps Einstein wasn't right." Carlos Frenk, a cosmologist not related with the Dark Energy Survey, has additionally been cited, expressing, "I went through my time on earth chipping away at this hypothesis and my heart reveals to me I would prefer not to see it breakdown. However, my cerebrum discloses to me that the estimations were right, and we need to take a gander at the chance of new physical science."
These declarations, in light of involvement, are probably not going to work out for an assortment of reasons. For one thing, this is the first occasion when we've at any point ordered or removed information from a list this huge, and an enormous number of new strategies and methods are being tested interestingly. Second off, the example of worlds used to ascertain the discrepant parts was just a little part of the complete number of universes; would we be able to be sure that the correct example was chosen? Third, there are a huge number of properties discovered to be in marvelous concurrence with the concordance model; for what reason would we put all the attention on the one section — with problematic importance on the precise end — that doesn't coordinate? Also, fourth, regardless of whether it doesn't coordinate, would you truly wager against Einstein with under 3-σ importance (when you take Planck + Dark Energy Survey information, versus Planck information alone), instead of wagering against this one part of the information discharge?
In the event that you need to get features, eyeballs, and consideration, simply say those three wizardry words, "Einstein wasn't right." You will not be right, obviously; nobody has been up to this point. Relativity, both the unique and general structures, have breezed through each assessment we've tossed at them for over a century, and researchers have ostensibly invested more effort to refute Einstein than some other researcher ever. Presently, inside the system of General Relativity and notwithstanding the biggest world overview ever, we will guarantee "Einstein wasn't right" rather than taking a gander at the undeniably almost certain chance: that we haven't dealt with this exceptional storm of information appropriately in the one occurrence where a little however huge disparity shows itself?
Actually we have a huge new arrangement of significant information, and we can separate an awesome measure of data about the Universe from it. The nature and measure of dim matter and dim energy have been affirmed; the Universe's extension rate lines up with accurately what past examinations have said; and the grouping adequacy is marginally more modest than we expected it would be. It's suspicious, notwithstanding, that this is an indication of new physical science; regardless, it's an issue to examine further and cross-check with other universe overviews. In the event that it ends up being something that is really worth another glance, more and better information will show us the way.