Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 172 tok/s
Gemini 2.5 Pro 49 tok/s Pro
GPT-5 Medium 34 tok/s Pro
GPT-5 High 40 tok/s Pro
GPT-4o 100 tok/s Pro
Kimi K2 198 tok/s Pro
GPT OSS 120B 436 tok/s Pro
Claude Sonnet 4.5 37 tok/s Pro
2000 character limit reached

Detection of Close Kuiper Belt Binaries with HST WFC3 (2406.02808v1)

Published 4 Jun 2024 in astro-ph.EP and astro-ph.IM

Abstract: Binaries in the Kuiper Belt are common. Here we present our analysis of the Solar System Origins Legacy Survey (SSOLS) to show that using a PSF-fitting method can roughly double the number of binaries identified in that dataset. Out of 198 Kuiper Belt objects (KBOs) observed by SSOLS, we find 23 to be visually separated binaries, while a further 19 are blended-PSF binaries detectable with the method we present here. This is an overall binary fraction of 21% for the SSOLS dataset of cold classical KBOs. In addition, we tested our fitting methods on synthetic data, and while we were able to show it to be very effective at detecting certain blended-PSF binary KBOs, fainter or closer binary KBOs may easily be missed, suggesting that the close binary KBO fraction could be even higher. These results strongly support the idea that most (if not all) KBOs were formed through the Streaming Instability process, and as a consequence, most KBOs were formed as near-equal mass binaries.

Citations (1)

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

X Twitter Logo Streamline Icon: https://streamlinehq.com

Tweets

This paper has been mentioned in 2 tweets and received 2 likes.

Upgrade to Pro to view all of the tweets about this paper: