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Hubble Accidentally Finds More Than a Thousand Asteroids

Key Takeaway

Hubble Space Telescope’s archival data, combined with citizen science and machine learning, has uncovered over a thousand previously unknown asteroids, shedding light on the formation of our solar system.

Summary

  • An international team of citizen scientists, astronomers from ESA, NASA, and universities, along with machine learning algorithms, analyzed archival data from the Hubble Space Telescope.
  • They discovered over 1,000 previously uncatalogued asteroids, with around 400 being smaller than 1 km in size.
  • Asteroids leave curved trails in Hubble’s images due to their motion relative to Hubble’s changing position as it orbits Earth.
  • Studying the orbits and properties of these asteroids can help test theories about the formation and evolution of the main asteroid belt.
  • One theory suggests small asteroids are fragments of larger ones that have collided and ground down over billions of years.
  • Another theory proposes small asteroids formed as they appear today and have not changed much since the formation of the Solar System.
  • The study provides insights into the largely unseen population of very small asteroids in the main belt.
  • This citizen science approach, combined with machine learning, can be applied to datasets from other asteroid-hunting observatories like Spitzer, SOFIA, and potentially the James Webb Space Telescope in the future.
  • The team plans to further characterize the orbits, rotation periods, and other properties of these newly discovered asteroids.
Hubble Accidentally Finds More Than a Thousand Asteroids
This graph uses data from the Hubble Space Telescope archives. It was created to show a population of very small asteroids that are mostly unseen.

Hubble’s Accidental Asteroid Discoveries

The Hubble Space Telescope has once again proven its worth as a scientific powerhouse, even after more than three decades in operation. In a remarkable feat, an international team of citizen scientists, astronomers from ESA, NASA, and other institutions, along with the aid of machine learning algorithms, has uncovered over a thousand previously unknown asteroids hiding in Hubble’s archival data.

Hubble was meant to study far-off galaxies and cosmic objects. But, it accidentally also took pictures of asteroids. These asteroids appeared as curved trails in Hubble’s images because they were moving around the Sun. They unexpectedly appeared in the telescope’s view. This gave astronomers a chance to learn about the Main Asteroid Belt. This belt is an area with many asteroids, located between Mars and Jupiter.

Among the newly discovered asteroids, a significant number – around 400 – measure less than 1 kilometer in size. This remarkable dataset offers an invaluable glimpse into the formation and evolution of our solar system. Two competing theories have long been debated by astronomers: did these small asteroids form as they appear today billions of years ago, or are they fragments of larger asteroids that have been colliding and grinding each other down over eons?

The data collected from Hubble’s accidental asteroid discoveries could help shed light on this enigma, providing crucial insights into the processes that shaped the early solar system.

This project succeeds due to great teamwork between volunteers and advanced machine learning. The Hubble Asteroid Hunter project started in 2019. It attracted more than 11,000 volunteers. These volunteers carefully reviewed 37,000 Hubble images from almost 20 years. Their hard work offered the data needed for machine learning algorithms. These algorithms can now spot asteroid trails very accurately. This new method has revealed hidden asteroids in Hubble’s archives. It also opens doors for more discoveries in astronomy.

This study introduces new breakthrough methods in finding and analyzing asteroids. It combines citizen science with machine learning. This allows astronomers to examine large amounts of data. They look at data from observatories like NASA’s Spitzer Space Telescope and the Stratospheric Observatory for Infrared Astronomy (SOFIA). They might also use data from the James Webb Space Telescope.

Hubble Accidentally Finds More Than a Thousand Asteroids
The Hubble captured an image of UGC 12158, a barred spiral galaxy. There are streaks in the image. These streaks were caused by asteroids passing by, essentially photobombing the galaxy.

As the next step, the research team plans to analyze the orbits, rotation periods, and other properties of the newly discovered asteroids, further expanding our understanding of these enigmatic celestial bodies.

Hubble’s accidental asteroid discoveries serve as a testament to the enduring scientific value of the telescope and the ingenuity of researchers in extracting every bit of knowledge from its data. By harnessing the collective power of citizen scientists and cutting-edge technology, astronomers have unlocked a treasure trove of information that will undoubtedly shape our comprehension of the solar system’s origins and evolution.

As Hubble travels through space, we can look forward to unexpected discoveries and major breakthroughs. These will strengthen its reputation as one of our era’s most important scientific tools.

HASHTAGS:

#HubbleSpaceTelescope, #Asteroids, #CitizenScience, #MachineLearning, #SolarSystem, #SpaceExploration, #Astronomy, #AsteroidBelt, #DataScience, #ScientificDiscoveries

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