Cosmic 'barcode' from distant galaxy confirms Nature's constancy

Cosmic ‘barcode’ from distant galaxy confirms Nature’s constancy
Astronomers observed light from a quasar 8.5 billion years after it passed through distant galaxies. Credit: James Josephides and Professor Michael Murphy

Astronomers have precisely measured the strength of a fundamental force of Nature in a galaxy seen eight billion years in the past.

Researchers from Swinburne University of Technology and the University of Cambridge have confirmed that in a has the same strength as here on Earth.

They observed a quasar – a with enormously bright surroundings – located behind the galaxy. On its journey toward Earth, some of the quasar's light was absorbed by gas in the galaxy eight billion years ago, casting shadows at very specific colours.

"The pattern of colours tells us how strong electromagnetism is in this galaxy, and because the quasar is one of the brightest ones known, we were able to make the most so far," says lead author of the study, Swinburne PhD candidate Srđan Kotuš.

"We found electromagnetism in this galaxy was the same as here on Earth within just one part per million – about the width of a human hair compared to the size of a sports stadium."

Electromagnetism is one of the four known fundamental forces of Nature.

"Electromagnetism determines almost everything about our everyday world, like the light we receive from the Sun, how we see that light, how sound travels through the air, the size of atoms and how they interact," says Swinburne's Professor Michael Murphy, co-author of the new work.

The laws of Nature were measured in distant galaxies, by observing light from a background quasar which passed through the galaxies on its way to Earth. Credit: James Josephides and Professor Michael Murphy. Swinburne University of Technology.

"But no one knows why electromagnetism has the strength it has and whether it should be constant, or vary, and why."

Most previous attempts to measure electromagnetism have been limited by instruments called spectrographs – the 'light rulers' used to measure the pattern of shadows in the quasar's rainbow of colours. The researchers used spectrographs at the European Southern Observatory's Very Large Telescope (VLT) and 3.6-m Telescope in Chile to make their observations.

"The VLT's spectrograph is a little inaccurate: it's a high-quality ruler for measuring light, but the numbers on that ruler are a little offset. So, to make the best measurement, we also used the 3.6-m Telescope's spectrograph to provide very accurate numbers," says Mr Kotuš.

"For me, finding that electromagnetism is constant over more than half the Universe's age just deepens the mystery – why is it that way? We still don't know," Professor Murphy says.

"It's remarkable that distant provide such a precise probe of such a fundamental question. With even larger telescopes now being built, we'll be able to test it even better in the near future."

The research has been published in the Monthly Notices of the Royal Astronomical Society.

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Three eyes on the sky track laws of Nature 10 billion years ago

More information: S. M. KotuS̭ et al. High-precision limit on variation in the fine-structure constant from a single quasar absorption system, Monthly Notices of the Royal Astronomical Society (2016). DOI: 10.1093/mnras/stw2543
Citation: Cosmic 'barcode' from distant galaxy confirms Nature's constancy (2016, November 15) retrieved 17 August 2019 from
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Nov 16, 2016
The paper can be found here:

Nov 18, 2016
Article states an accuracy of 1 in a million parts. That is not very accurate. I find it hard to believe that you can multiply the width of a hair by a million and come up with the size of a sports arena.

Nov 18, 2016
if the average width of a human hair is 100um (0.004") https://en.wikipe...an_scale and you multiply that by 1000000 you get 100 meters (328 ft), so maybe not a stadium but a playing field.

Nov 18, 2016
Thank you. I guess the stadium thing sort of threw me. But considering what the author was trying to measure, is 1 in 10^6 extremely accurate for this type data? I welcome your thoughts because I really do not know.

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