Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Nickolas Kokron"'
Autor:
Rodrigo Córdova Rosado, Andy D. Goulding, Jenny E. Greene, Grayson C. Petter, Ryan C. Hickox, Nickolas Kokron, Michael A. Strauss, Jahmour J. Givans, Yoshiki Toba, Cassandra Starr Henderson
Publikováno v:
The Astrophysical Journal, Vol 977, Iss 2, p 158 (2024)
Active galactic nuclei (AGN) are the signposts of black hole growth, and likely play an important role in galaxy evolution. An outstanding question is whether AGN of different spectral types indicate different evolutionary stages in the coevolution o
Externí odkaz:
https://doaj.org/article/5d5f054467de44b59589b38361bd1295
Publikováno v:
Monthly Notices of the Royal Astronomical Society. 511:2765-2781
We investigate the application of Hybrid Effective Field Theory (HEFT) -- which combines a Lagrangian bias expansion with subsequent particle dynamics from $N$-body simulations -- to the modeling of $k$-Nearest Neighbor Cumulative Distribution Functi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da516b80c35aa4a32e3df3488ca58317
https://doi.org/10.1093/mnras/stac193
https://doi.org/10.1093/mnras/stac193
Numerical simulations in cosmology require trade-offs between volume, resolution and run-time that limit the volume of the Universe that can be simulated, leading to sample variance in predictions of ensemble-average quantities such as the power spec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::494be8aec619a10fcab35ee94cdb4c92
http://arxiv.org/abs/2210.14239
http://arxiv.org/abs/2210.14239
Simulations have become an indispensable tool for accurate modelling of observables measured in galaxy surveys, but can be expensive if very large dynamic range in scale is required. We describe how to combine Lagrangian perturbation theory models wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f931bd93abf9fb527e936e25f2436a3
http://arxiv.org/abs/2205.15327
http://arxiv.org/abs/2205.15327
Autor:
Martin White, Rongpu Zhou, Joseph DeRose, Simone Ferraro, Shi-Fan Chen, Nickolas Kokron, Stephen Bailey, David Brooks, Juan García-Bellido, Julien Guy, Klaus Honscheid, Robert Kehoe, Anthony Kremin, Michael Levi, Nathalie Palanque-Delabrouille, Claire Poppett, David Schlegel, Gregory Tarle
Publikováno v:
Journal of Cosmology and Astroparticle Physics, vol 2022, iss 02
We use luminous red galaxies selected from the imaging surveys that are being used for targeting by the Dark Energy Spectroscopic Instrument (DESI) in combination with CMB lensing maps from the Planck collaboration to probe the amplitude of large-sca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3667aae220186f81d0b5f536285fa44
https://hdl.handle.net/10486/704189
https://hdl.handle.net/10486/704189
Publikováno v:
Journal of Cosmology and Astroparticle Physics, vol 2022, iss 07
We present a formalism for jointly fitting pre- and post-reconstruction redshift-space clustering (RSD) and baryon acoustic oscillations (BAO) plus gravitational lensing (of the CMB) that works directly with the observed 2-point statistics. The forma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fd8e4b67e637bee03d3e62051906182
Publikováno v:
Monthly Notices of the Royal Astronomical Society, vol 514, iss 2
We investigate the stochastic properties of typical red galaxy samples in a controlled numerical environment. We use Halo Occupation Distribution (HOD) modelling to create mock realizations of three separate bright red galaxy samples consistent with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62604b43ed69121fe7a5f862d1e0e5d6
Publikováno v:
Journal of Cosmology and Astroparticle Physics, vol 2022, iss 04
We make use of neural networks to accelerate the calculation of power spectra required for the analysis of galaxy clustering and weak gravitational lensing data. For modern perturbation theory codes, evaluation time for a single cosmology and redshif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93db1fe264e36a0e300f26f1520496c8
https://doi.org/10.1088/1475-7516/2022/04/056
https://doi.org/10.1088/1475-7516/2022/04/056
Autor:
Guido d'Amico, Jérôme Gleyzes, Nickolas Kokron, Katarina Markovic, Leonardo Senatore, Pierre Zhang, Florian Beutler, Héctor Gil-Marín
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
instname
arXiv:1909.05271v1
The Effective Field Theory of Large-Scale Structure is a formalism that allows us to predict the clustering of Cosmological Large-Scale Structure in the mildly non-linear regime in an accurate and reliable way. After validatin
The Effective Field Theory of Large-Scale Structure is a formalism that allows us to predict the clustering of Cosmological Large-Scale Structure in the mildly non-linear regime in an accurate and reliable way. After validatin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81674ee0eb4771139b3ea7b1ddb23c44