Non-linear Horndeski analysis with Hi-COLA

Event Date:
2023-01-16T11:00:00
2023-01-16T12:00:00
Event Location:
HENN 318
Speaker:
Ashim Sen Gupta, PhD student, Queen Mary University of London
URL:
https://ubc.zoom.us/j/67037684029?pwd=MDRWamdBWTdMamNKUmZGQkV3WXEzZz09
Related Upcoming Events:
Gravity Seminars
Intended Audience:
Graduate
Local Contact:

Mervyn Chan (mervync@phas.ubc.ca)

**We welcome everyone to this event, from upper-level undergraduate students, post-docs and faculty to the general public. Come join us!**

Event Information:

TALK RECORDING AVAILABLE AT: https://drive.google.com/file/d/15V37wrgQQb0mN6MrBIZ9dQhZZeqYgWDI/view?usp=share_link

Abstract: 

Upcoming data from surveys such as the Legacy Survey of Space and Time (LSST) will give us some of the first opportunities to probe the behaviour of gravity on non-linear scales. Such data will prove to be invaluable in constraining the space of modified gravity theories with screening mechanisms, properties of these theories that cause them to behave like General Relativity in regions where the local energy density is high (such as the Solar system), which manifest on non-linear scales. Thus, there is a need to be able to produce predictions for such theories in order to compare with observations - and this is what Hi-COLA (Horndeski-in-COLA) aims to do. Hi-COLA is an approximate simulation code designed to produce matter power spectra valid on mildly non-linear scales for a wide class of Horndeski theories for the first time, and at low computational cost. I will discuss how Hi-COLA works, and the conclusions about the clustering behaviour of Horndeski theories we have derived through our usage of Hi-COLA.

Add to Calendar 2023-01-16T11:00:00 2023-01-16T12:00:00 Non-linear Horndeski analysis with Hi-COLA Event Information: TALK RECORDING AVAILABLE AT: https://drive.google.com/file/d/15V37wrgQQb0mN6MrBIZ9dQhZZeqYgWDI/view?usp=share_link Abstract:  Upcoming data from surveys such as the Legacy Survey of Space and Time (LSST) will give us some of the first opportunities to probe the behaviour of gravity on non-linear scales. Such data will prove to be invaluable in constraining the space of modified gravity theories with screening mechanisms, properties of these theories that cause them to behave like General Relativity in regions where the local energy density is high (such as the Solar system), which manifest on non-linear scales. Thus, there is a need to be able to produce predictions for such theories in order to compare with observations - and this is what Hi-COLA (Horndeski-in-COLA) aims to do. Hi-COLA is an approximate simulation code designed to produce matter power spectra valid on mildly non-linear scales for a wide class of Horndeski theories for the first time, and at low computational cost. I will discuss how Hi-COLA works, and the conclusions about the clustering behaviour of Horndeski theories we have derived through our usage of Hi-COLA. Event Location: HENN 318