Direct signatures of the formation time of galaxies

Authors: Yaniv Donath, Matthew Lewandowski, Leonardo Senatore

arXiv: 2307.11409v1 - DOI (astro-ph.CO)
6+2 pages, 1 figure, ancillary file included
License: not stated (all rights reserved)

Results of the summarizing process for the arXiv paper: 2307.11409v1

  • Comprehensive Summary
  • Key points
  • Layman's Summary
  • Blog article
In their study titled "Direct signatures of the formation time of galaxies," authors Yaniv Donath, Matthew Lewandowski, and Leonardo Senatore explore the possibility of directly measuring the formation time of galaxies using large-scale structure. They demonstrate that the distribution of galaxies on a large scale can provide insights into whether galaxies form over a narrow period before their observed times or are formed over a time scale comparable to the age of the Universe. The researchers derive simple recursion relations for the perturbative terms of the most general bias expansion for galaxy density. This extension allows them to fully apply the well-known dark matter recursion relations to generic tracers. By doing so, they enhance our understanding of how galaxies form and evolve within the cosmic web. The findings presented in this study have significant implications for our understanding of galaxy formation and evolution. The ability to measure the formation time of galaxies directly provides valuable insights into their evolutionary processes and sheds light on fundamental questions about cosmic structure formation. This research contributes to ongoing efforts in observational cosmology and helps refine our models and theories regarding galaxy formation.
AI-generated keywords: Galaxy Formation Evolution Large-Scale Structure Dark Matter Recursion Relations Perturbative Terms

AI-generated Key Points

  • Study explores measuring the formation time of galaxies using large-scale structure
  • Distribution of galaxies on a large scale can provide insights into formation time
  • Researchers derive recursion relations for bias expansion for galaxy density
  • Enhances understanding of how galaxies form and evolve within cosmic web
  • Findings have implications for understanding galaxy formation and evolution
  • Direct measurement of formation time provides insights into evolutionary processes
  • Contributes to observational cosmology efforts and refines models and theories
Also access our AI generated: Comprehensive summary, Lay summary, Blog-like article; or ask questions about this paper to our AI assistant.

Abstract: We show that it is possible to directly measure the formation time of galaxies using large-scale structure. In particular, we show that the large-scale distribution of galaxies is sensitive to whether galaxies form over a narrow period of time before their observed times, or are formed over a time scale on the order of the age of the Universe. Along the way, we derive simple recursion relations for the perturbative terms of the most general bias expansion for the galaxy density, thus fully extending the famous dark-matter recursion relations to generic tracers.

Submitted to arXiv on 21 Jul. 2023

Tools for this paper

Explain it differently 3 free rewrites left today
Export BibTeX · RIS (Zotero, Mendeley, EndNote) · Markdown (Notion, Obsidian) · Premium
Citation alerts Premium
Journal club Slides to present it Premium
For journalists Press kit and hype check Premium

Ask questions about this paper to our AI assistant

You can also chat with multiple papers at once here.

⚠The license of the paper does not allow us to build upon its content and the AI assistant only knows about the paper metadata rather than the full article.

Figures and plots

Ask about a figure by number or use its question button to request visual analysis. Up to two figures and four image panels per question. Values read from plots are approximate; check the original data.

AI assistant instructions?

Assess the quality of the AI-generated content by voting

Score: 0

Why do we need votes?

Votes are used to determine whether we need to re-run our summarizing tools. If the count reaches -10, our tools can be restarted.

The previous summary was created more than a year ago and can be re-run (if necessary) by clicking on the Run button below.

⚠The license of this specific paper does not allow us to build upon its content and the summarizing tools will be run using the paper metadata rather than the full article. However, it still does a good job, and you can also try our tools on papers with more open licenses.

Similar papers summarized with our AI tools

Navigate through even more similar papers through a

tree representation

Disclaimer: The AI-based summarization tool and virtual assistant provided on this website may not always provide accurate and complete summaries or responses. We encourage you to carefully review and evaluate the generated content to ensure its quality and relevance to your needs.