Science & Technology

Astronomers use advanced planetary detection algorithms to discover new extrasolar planets with the potential for over 300

UCLA researchers have identified 366 new exoplanets using data from the Kepler Space Telescope. This includes 18 planetary systems Kepler-444 similar to those shown here, previously identified using a telescope. Credits: Tiago Campante / Peter Devine via NASA

The findings also include a unique planetary system containing two giant gases.

UCLA astronomers have identified 366 new exoplanets, largely thanks to algorithms developed by UCLA postdoctoral researchers. Among their most notable discoveries is a planetary system consisting of stars and at least two giant gas giants. Saturn Very close.

The findings are described in a paper published on November 23, 2021. Astronomical Journal..

The term “exoplanet” is used to describe a planet outside our own solar system. The identification of hundreds of new exoplanets is an important advance, as the total number of exoplanets identified by astronomers is less than 5,000. Studying such large groups of new objects will help scientists better understand how planets are formed and their orbits evolve, and new insights into how rare the solar system is. May be provided.

“Discovering hundreds of new exoplanets is an important achievement in itself, but what makes this work stand out is how it stands out. Exoplanet “Population as a whole,” said Eric Petigra, a professor of astronomy at UCLA and co-author of the study.

The lead author of this paper is Jon Zink, who received his PhD from UCLA in June and is now a postdoctoral fellow at UCLA. He and Petigra, and an international team of astronomers called the Scaling K2 Project, NASA Kepler Space Telescope K2 mission.

This discovery was made possible by a new planetary detection algorithm developed by Zinc. One challenge in identifying a new planet is that the diminished brightness of the staller can be due to an alternative astrophysical source that mimics the characteristics of the instrument or planet. Additional research is needed to make fun of which is which. This has traditionally been very time consuming and can only be achieved by visual inspection. Zink’s algorithm can separate which signals represent planets and which are just noise.

“The catalogs and planetary detection algorithms devised by the Jon and Scaling K2 teams are a major step forward in understanding planetary populations,” says Petigura. “There is no doubt that we will have a better understanding of the physical processes by which planets are formed and evolved.”

Kepler’s original mission came to an unexpected end in 2013, when a mechanical failure prevented the spacecraft from accurately pointing to the empty patches it had been observing for years.

However, astronomers have reused the telescope for a new mission known as the K2. Its purpose is to identify extrasolar planets near distant stars. The data from K2 help scientists understand how the location of stars in the galaxy affects the types of planets that can form around them. Unfortunately, the planet-identifying software used in the original Kepler mission could not handle the complexity of the K2 mission, such as the ability to determine the size of the planet and its position with respect to the star.

A previous study by Zink and co-workers introduced the first fully automated pipeline for K2 with software to identify potential planets in the processed data.

In the new study, researchers will use new software to analyze the entire K2 dataset (about 500 terabytes of data, including images of more than 800 million stars) and soon incorporate it into NASA’s master exoplanet archive. I have created a “catalog”. Researchers used UCLA’s Hoffman2 cluster to process the data.

In addition to the 366 new planets identified by the researchers, the catalog lists 381 other planets previously identified.

Zink shows that this discovery shows astronomy what types of stars are most likely to have planets orbiting them, and what it takes for the building blocks to succeed in planet formation. He said it could be an important step to help you understand what you are doing.

“To understand that, we need to see a variety of stars, not just stars like the Sun,” he said.

The discovery of a planetary system with two giant gas giants was also important. Because huge gases like Saturn in our own solar system are rarely found near the host star as in this case. Researchers can’t yet explain why it happened there, but because it can help scientists form a more accurate understanding of the parameters of how planets and planetary systems develop. It said the discovery would be particularly useful.

“The discoveries of each new world provide a unique glimpse into the physics that play a role in planet formation,” he said.

For more information on this study, see. What a 301 Newly Identified Exoplanet – Discovered by New Deep Neural Network ExoMiner..

See also: “K2 Scaling. IV. Jon K. Zink, Kevin K. Hardegree-Ullman, Jessie L. Christiansen, Sakhee Bhure, Britt Duffy Adkins, Erik A. Petigura, Courtney D. Dressing, Campaigns 1–8 and Ian 10–18 Uniform Planet Samples JM Crossfield and Joshua E. Schreeder, November 23, 2021 Astronomical Journal..
DOI: 10.3847 / 1538-3881 / ac2309



Astronomers use advanced planetary detection algorithms to discover new extrasolar planets with the potential for over 300

https://scitechdaily.com/astronomers-discover-more-than-300-possible-new-exoplanets-using-advanced-planet-detection-algorithm/ Astronomers use advanced planetary detection algorithms to discover new extrasolar planets with the potential for over 300

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