Cosmology constraints from Strong Gravitational Lensing using Simulation-Based Inference

Conference · 14 December 2023

DOI:https://doi.org/10.2172/2246728· OSTI ID:2246728

Jarugula, Sreevani ^[1]; Nord, Brian ^[2]; Poh, Jason ^[1]; Ciprijanovic, Aleksandra ^[1]; Nevin, Becky ^[1]

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1. Fermilab
2. Fermilab; Chicago U.; Chicago U., KICP

In this poster we present our preliminary analysis on constraining cosmology parameters such as the Dark Energy Equation of State parameter using strong lensing. We use Simulations based inference with Machine Learning algorithms such as Neural Posterior density estimators.

• Research Organization: Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)
• Sponsoring Organization: USDOE Office of Science (SC), High Energy Physics (HEP) (SC-25)
• Contributing Organization: LSST
• DOE Contract Number: AC02-07CH11359
• OSTI ID: 2246728
• Report Number(s): FERMILAB-POSTER-23-344-CSAID; oai:inspirehep.net:2737179
• Country of Publication: United States
• Language: English

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