PIRSA:23100120 Scientific Series Cosmology

DOI10.48660/23100120

Series: Cosmology and Gravitation

Farren, G. (2023). The Atacama Cosmology Telescope: Probing the large scale structure with ACT DR6 CMB lensing and cross-correlation with unWISE. Perimeter Institute. https://pirsa.org/23100120

Farren, Gerrit. The Atacama Cosmology Telescope: Probing the large scale structure with ACT DR6 CMB lensing and cross-correlation with unWISE. Perimeter Institute, Oct. 31, 2023, https://pirsa.org/23100120 

@misc{ pirsa_PIRSA:23100120,
  doi = {10.48660/23100120},
  url = {https://pirsa.org/23100120},
  author = {Farren, Gerrit},
  keywords = {Cosmology},
  language = {en},
  title = {The Atacama Cosmology Telescope: Probing the large scale structure with ACT DR6 CMB lensing and cross-correlation with unWISE},
  publisher = {Perimeter Institute},
  year = {2023},
  month = {oct},
  note = {PIRSA:23100120 see, \url{https://pirsa.org}}
}

Abstract

I will present work on probing the large scale structure of the universe using CMB lensing from the upcoming Data Release 6 of the Atacama Cosmology Telescope (ACT) and cross-correlations with galaxies from the unWISE galaxy catalog. My talk will focus on how our highly competitive constraints from CMB lensing and CMB lensing cross-correlations can provide insight into the widely discussed “S8/sigma8 tension”. For this purpose I will briefly introduce the high fidelity CMB lensing reconstruction obtained by the ACT Collaboration and results from the analysis of the lensing auto-correlation. I will discuss new results from the cross-correlation between ACT CMB lensing and unWISE galaxies, highlighting improvements to the analysis pipeline compared to previous work on the cross-correlation between Planck CMB lensing and unWISE by some of my collaborators (Krolewski et al. 2021). I will also show a reanalysis of Planck CMB lensing x unWISE and a joined analysis of the ACT and Planck CMB lensing cross-correlations with unWISE.

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Zoom link https://pitp.zoom.us/j/99192611116?pwd=TU9iMjhrejVESjNRdi92M0ZXN2ZEQT09

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