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AI staring into the void: machine learning-assisted science with the empty universe

Research Project

Project/Area Number 24K22878
Research Category

Grant-in-Aid for Research Activity Start-up

Allocation TypeMulti-year Fund
Review Section 0203:Particle-, nuclear-, astro-physics, and related fields
Research InstitutionThe University of Tokyo

Principal Investigator

Thiele Leander  東京大学, カブリ数物連携宇宙研究機構, 特任助教 (00998487)

Project Period (FY) 2024-07-31 – 2026-03-31
Project Status Granted (Fiscal Year 2024)
Budget Amount *help
¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
Fiscal Year 2025: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2024: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Keywordscosmology / cosmic voids
Outline of Research at the Start

We will study the properties of the most underdense regions of the universe, cosmic voids, to learn more about the fundamental properties of Nature. Machine learning will be used to assist.

URL: 

Published: 2024-08-01   Modified: 2024-09-13  

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