Skip to main content
  1. Home
  2. Emerging Tech
  3. News

This galaxy, Messier 90, appears blue because it’s traveling toward us

Add as a preferred source on Google

Messier 90, a beautiful spiral galaxy located roughly 60 million light-years from the Milky Way in the constellation of Virgo (The Virgin). The black boxes in the top left are the result of the configuration of the sensors in the camera. ESA/Hubble & NASA, W. Sargent et al.

A new Hubble image has been released showing Messier 90, 60 million light-years away in the Virgo Cluster. It is located in the constellation of Virgo (The Virgin), which is part of the Virgo Supercluster which includes our galaxy.

Recommended Videos

An unusual feature of Messier 90 is that it is traveling towards the Milky Way, not away from it. Most galaxies are traveling apart due to the expansion of the universe, so other galaxies appear to be moving away from us. But Messier 90 is heading in our direction; a rare example of bucking the galactic trend.

We know that Messier 90 is traveling towards us because of the way its light appears. When galaxies are traveling away from us, the wavelengths of light they produce is stretched, making the light appear more towards the red end of the spectrum in a process called the Doppler effect. This means most galaxies give off light which is redshifted. But in the case of Messier 90, the light we detect from it is shifted towards the blue end of the spectrum, or blueshifted. That means light waves are being compressed as the galaxy comes closer to us.

Astronomers believe the galaxy is currently traveling towards us due to the huge mass of the Virgo Cluster, which pulls smaller galaxies into eccentric orbits which travel sometimes closer to us and sometimes further away.

This image of Messier 90 was created from a wide range of light wavelengths, including infrared, ultraviolet, and visible light. The data was gathered by Hubble’s Wide Field and Planetary Camera 2 (WFPC2) which captured images from Hubble between 1994 and 2010.

The reason this image has a black section in the top left corner is to do with how the WFPC2 worked. The camera consisted of four light detectors, each trained on a slightly different area of space with some small overlap between them. There were three wide-field sensors in an L-shape and a smaller, higher resolution sensor in the remaining corner. As the higher resolution camera captured images at a greater magnification, the image it produced had to be scaled down in order to fit with the other three images. The result is images like the one above, with a chunk missing from the top corner.

The WFPC2 has since been superseded by the Wide Field Camera 3 (WFC3) which captures full images over a wide range of wavelengths.

Georgina Torbet
Georgina has been the space writer at Digital Trends space writer for six years, covering human space exploration, planetary…
The Apple Car may be dead, but it became the foundation of Apple Intelligence
A decade of work on a canceled car project reportedly laid the groundwork for Apple Intelligence.
Apple Intelligence in Apple Car

The Apple Car may have never left the garage, but it apparently gave birth to Apple's AI ambitions. According to Bloomberg's Mark Gurman, Apple's canceled autonomous vehicle project, one that consumed more than a decade of work and over $10 billion before being scrapped in 2024, ended up laying the technological foundation for Apple Intelligence. In a rather ironic twist, one of Apple's most expensive failures may also become one of its most important long-term investments.

The Apple Car forced Apple to think like an AI company

Read more
Researchers hid a prompt injection inside a PNG, and AI fell for it
Hacker

AI coding assistants like Claude are becoming every developer's favorite coworker. They can review code, explain confusing functions, and even write entire features with a single prompt. But new research suggests that this growing trust could also become their biggest weakness.

A team of security researchers (professor Sudipta Chattopadhyay and researcher Murali Ediga) has demonstrated an unusual attack that doesn't target the AI model directly. Instead, it targets what the AI doesn't pay enough attention to during code reviews. Rather than hiding malicious instructions in lines of code, the researchers tucked them inside an image file. Since many AI review tools treat images as decorative assets rather than as something worth inspecting, the pull request can appear perfectly harmless and sail through the review.

Read more
AI has already fallen into the wrong hands and they’re using it to make bombs
Logo, Text

Artificial intelligence has quickly become the go-to tool for everything from writing emails and summarizing meetings to helping students study or developers debug code. But the same technology that saves people time can also be misused, and a new report suggests that terrorist organizations are finding ways to do exactly that.

According to a research paper shared with The New York Times ahead of its publication, researchers found evidence that members of Boko Haram have been using popular AI chatbots to support both day-to-day activities and combat-related tasks. Interviews with 27 former members conducted in Nigeria over the past two years suggest that tools such as ChatGPT, Gemini, Claude, Grok, Meta AI, and DeepSeek were used to gather technical information, troubleshoot weapons, and even assist with planning attacks.

Read more