COSMICLENS | Cosmology with Strong Gravitational Lensing

Summary
Measuring cosmological distances has revolutionized our understanding of the Universe, and is still doing so! Early work in the 1920s led to the discovery of the expansion of the Universe. More precise distance measurements in the 90s with type-Ia supernovae revealed that this expansion is accelerating, with crucial consequences in cosmology and physics. Is the acceleration due to some repulsive form of dark energy? To Einstein's cosmological constant? Do we need to consider new physics? Answering these fundamental questions requires a precise measurement of the Hubble parameter, H0, which is my goal using the time delay (TD) method in strongly lensed quasars.

The TD method exploits well-known physics on galaxy-scales. It is one of the very few techniques that can yield H0 to
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/787886
Start date: 01-10-2018
End date: 30-09-2023
Total budget - Public funding: 3 129 689,00 Euro - 3 129 689,00 Euro
Cordis data

Original description

Measuring cosmological distances has revolutionized our understanding of the Universe, and is still doing so! Early work in the 1920s led to the discovery of the expansion of the Universe. More precise distance measurements in the 90s with type-Ia supernovae revealed that this expansion is accelerating, with crucial consequences in cosmology and physics. Is the acceleration due to some repulsive form of dark energy? To Einstein's cosmological constant? Do we need to consider new physics? Answering these fundamental questions requires a precise measurement of the Hubble parameter, H0, which is my goal using the time delay (TD) method in strongly lensed quasars.

The TD method exploits well-known physics on galaxy-scales. It is one of the very few techniques that can yield H0 to

Status

CLOSED

Call topic

ERC-2017-ADG

Update Date

27-04-2024
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Horizon 2020
H2020-EU.1. EXCELLENT SCIENCE
H2020-EU.1.1. EXCELLENT SCIENCE - European Research Council (ERC)
ERC-2017
ERC-2017-ADG