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Images of the Whirlpool galaxy show the value of infrared light observations

This multipanel image show how different wavelengths of light can reveal different features of a cosmic object. On the left is a visible light image of the Whirlpool galaxy. The next image combines visible and infrared light, while the two on the right show different wavelengths of infrared light. NASA/JPL-Caltech

Have you ever wondered why sometimes telescopes capture light in the visible spectrum, and other times in infrared? NASA has released these images of the Whirlpool galaxy, located in the constellation Canes Venatici, which demonstrate the value of collecting data at different wavelengths.

The image shows the same galaxy as seen through different wavelengths of light. On the left, in image (a), you see the Whirlpool in the visible light spectrum, at 0.4 microns (shown in blue) and 0.7 microns (shown in red). This would be how the galaxy would appear to your eye if you observed it through a powerful telescope. In this case, the image was captured with the Kitt Peak National Observatory 2.1-meter (6.8-foot) telescope. The dark swirls you see between the stars are made of dust which blocks a lot of the visible light coming from stars behind it.

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In image (b), you see a combination of two data sources. Firstly is the Kitt image (a), and added to this is the data from the Spitzer Telescope which records infrared wavelengths. By combining these two data sources, you can see details that were not visible in the first image. Where there were dark dust swirls before, now you can see more of the detail of the illumination coming from the dust.

Images (c) and (d) show the data that was gathered by Spitzer, at two different ranges of infrared light. Image (c) covers three wavelengths of infrared light: 3.6 microns (shown in blue), 4.5 microns (shown in green), and 8 microns (shown in red). Each blue dot is an individual star, most of which are nearby. The red shows the dust being illuminated by starlight. Image (d) includes an extra wavelength of 24 microns (shown in red) which can highlight areas where the dust is hot. These hot white-red regions are where stars are being formed.

The value of these different images is that they allow astronomers to see features which would otherwise be hidden. The dust clouds, for example, look dark and featureless in the visible light spectrum. But in the infrared spectrum, they glow with light, and certain areas can be picked out which are more hot and active than others.

The images also highlight the difference between different galaxies. If you look at the small galaxy at the top of the image, it looks similar to the Whirlpool galaxy in the visible spectrum. But looking at the infrared images, you can see that it lacks the dust features that the larger galaxy has.

Georgina Torbet
Georgina has been the space writer at Digital Trends space writer for six years, covering human space exploration, planetary…
Spitzer Space Telescope uses infrared light to image a stellar playground

A collection of gas and dust over 500 light-years across, the Perseus Molecular Cloud hosts an abundance of young stars. It was imaged here by NASA's Spitzer Space Telescope. NASA/JPL-Caltech

NASA's Spitzer Space Telescope has captured this beautiful image of the Perseus Molecular Cloud by observing infrared radiation which makes the cloud glow. The cloud is over 500 light-years across and is located relatively nearby to Earth, at around 1000 light-years away. In total, the cloud has a mass equivalent to 10,000 times that of our sun.

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BYD’s cheap EVs might remain out of Canada too
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With Chinese-made electric vehicles facing stiff tariffs in both Europe and America, a stirring question for EV drivers has started to arise: Can the race to make EVs more affordable continue if the world leader is kept out of the race?

China’s BYD, recognized as a global leader in terms of affordability, had to backtrack on plans to reach the U.S. market after the Biden administration in May imposed 100% tariffs on EVs made in China.

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Tesla posts exaggerate self-driving capacity, safety regulators say
Beta of Tesla's FSD in a car.

The National Highway Traffic Safety Administration (NHTSA) is concerned that Tesla’s use of social media and its website makes false promises about the automaker’s full-self driving (FSD) software.
The warning dates back from May, but was made public in an email to Tesla released on November 8.
The NHTSA opened an investigation in October into 2.4 million Tesla vehicles equipped with the FSD software, following three reported collisions and a fatal crash. The investigation centers on FSD’s ability to perform in “relatively common” reduced visibility conditions, such as sun glare, fog, and airborne dust.
In these instances, it appears that “the driver may not be aware that he or she is responsible” to make appropriate operational selections, or “fully understand” the nuances of the system, NHTSA said.
Meanwhile, “Tesla’s X (Twitter) account has reposted or endorsed postings that exhibit disengaged driver behavior,” Gregory Magno, the NHTSA’s vehicle defects chief investigator, wrote to Tesla in an email.
The postings, which included reposted YouTube videos, may encourage viewers to see FSD-supervised as a “Robotaxi” instead of a partially automated, driver-assist system that requires “persistent attention and intermittent intervention by the driver,” Magno said.
In one of a number of Tesla posts on X, the social media platform owned by Tesla CEO Elon Musk, a driver was seen using FSD to reach a hospital while undergoing a heart attack. In another post, a driver said he had used FSD for a 50-minute ride home. Meanwhile, third-party comments on the posts promoted the advantages of using FSD while under the influence of alcohol or when tired, NHTSA said.
Tesla’s official website also promotes conflicting messaging on the capabilities of the FSD software, the regulator said.
NHTSA has requested that Tesla revisit its communications to ensure its messaging remains consistent with FSD’s approved instructions, namely that the software provides only a driver assist/support system requiring drivers to remain vigilant and maintain constant readiness to intervene in driving.
Tesla last month unveiled the Cybercab, an autonomous-driving EV with no steering wheel or pedals. The vehicle has been promoted as a robotaxi, a self-driving vehicle operated as part of a ride-paying service, such as the one already offered by Alphabet-owned Waymo.
But Tesla’s self-driving technology has remained under the scrutiny of regulators. FSD relies on multiple onboard cameras to feed machine-learning models that, in turn, help the car make decisions based on what it sees.
Meanwhile, Waymo’s technology relies on premapped roads, sensors, cameras, radar, and lidar (a laser-light radar), which might be very costly, but has met the approval of safety regulators.

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