Probing angular-dependent primordial non-Gaussianity from galaxy intrinsic alignments

APA

Akitsu, K. (2021). Probing angular-dependent primordial non-Gaussianity from galaxy intrinsic alignments . Perimeter Institute for Theoretical Physics. https://pirsa.org/21010018

MLA

Akitsu, Kazuyuki. Probing angular-dependent primordial non-Gaussianity from galaxy intrinsic alignments . Perimeter Institute for Theoretical Physics, Jan. 19, 2021, https://pirsa.org/21010018

BibTex

          @misc{ scivideos_PIRSA:21010018,
            doi = {10.48660/21010018},
            url = {https://pirsa.org/21010018},
            author = {Akitsu, Kazuyuki},
            keywords = {Cosmology},
            language = {en},
            title = {Probing angular-dependent primordial non-Gaussianity from galaxy intrinsic alignments },
            publisher = {Perimeter Institute for Theoretical Physics},
            year = {2021},
            month = {jan},
            note = {PIRSA:21010018 see, \url{https://scivideos.org/pirsa/21010018}}
          }
          

Kazuyuki Akitsu University of Tokyo

Source Repository PIRSA
Talk Type Scientific Series
Subject

Abstract

The primordial non-Gaussianity (PNG) is a key feature to screen various inflationary models and it is one of the main targets in the next generation galaxy surveys. In particular, the local-type of PNG makes the galaxy bias scale-dependent in large-scales, which is known as the scale-dependent bias, allowing to constrain the local-type PNG from galaxy surveys. In this talk, I will present the galaxy shape correlation, called the ``intrinsic alignment'', can explore the angular-dependent PNG. Using N-body simulations, we show the angular-dependent PNG induces the scale-dependent bias in the intrinsic alignment, just as the angular-independent PNG leads to the scale-dependent bias in the galaxy number density correlation. By combining photometric and spectroscopic surveys to measure the intrinsic alignment, future galaxy surveys are potentially capable of constraining the angular-dependent PNG better than CMB experiments.