From the 1 of 10 linked papers with an AI index.
29 citations · 29 across the 2 of their papers we have counts for
10 papers
Intrinsic Alignments in Redshift Space I: Symmetries
Kazuyuki Akitsu, Shi-Fan Chen, Zvonimir Vlah
Galaxy shapes are unique tensor tracers of large-scale structure, providing a promising avenue to both enhance current cosmological programs and detect new physics beyond the scala…
A Parameter-Masked Mock Data Challenge for Beyond-Two-Point Galaxy Clustering Statistics
2pt Collaboration, Elisabeth Krause, Yosuke Kobayashi +23
The paper presents the first results of the "Beyond-2pt" community data challenge, where participants used various beyond‑two‑point galaxy clustering methods on high‑precision mock…
Lyman-Alpha Forest and its Cross-Correlation with High-Redshift Galaxies in Effective Field Theory at the Field Level
Roger de Belsunce, Mikhail M. Ivanov, James M. Sullivan +2
We present a field-level perturbative forward model for the Lyman-alpha (Lya) forest flux decrement. We validate it on two simulation suites: large-volume AbacusSummit N-body simul…
Blue-tilted Runnings and the JWST Early Galaxy Tension
Mikage U. Kobayashi, Gen Chiaki, Kazutaka Kimura +4
The recent James Webb Space Telescope (JWST) observations reported the unexpectedly large abundance of massive galaxies with stellar masses of at high reds…
Galaxy sizes as complementary (zero-)bias tracers of local primordial non-Gaussianity
Nhat-Minh Nguyen, Kazuyuki Akitsu, Atsushi Taruya
The scale-dependent bias in halo and galaxy power spectra is a key signature of local primordial non-Gaussianity (local PNG), with PNG sensitivity scaling as -- the rati…
Equilateral non-Gaussian Bias at the Field Level
Divij Sharma, James M. Sullivan, Kazuyuki Akitsu +1
Primordial non-Gaussianity (PNG) is a common prediction of a wide class of inflationary models. Equilateral-type PNG, generically predicted by single-field inflationary models with…