1 code implementation • 11 Nov 2021 • David Schaurecker, Yin Li, Jeremy Tinker, Shirley Ho, Alexandre Refregier
Generative deep learning methods built upon Convolutional Neural Networks (CNNs) provide a great tool for predicting non-linear structure in cosmology.
2 code implementations • 7 Feb 2017 • Pierros Ntelis, Jean-Christophe Hamilton, Jean-Marc Le Goff, Nicolas Guillermo Busca, Eric Aubourg, Pierre Laurent, James Rich, Etienne Burtin, Hélion du Mas des Bourboux, Nathalie Palanque Delabrouille, Christophe Yeche, David W. Hogg, Adam Myers, Jeremy Tinker, Julian Bautista, Timothée Delubac, Graziano Rossi, Donald P. Schneider Rita Toheiro, Mariana Vargas-Magaña
Defining the scale of transition to homogeneity as the scale at which $\mathcal{D}_2(r)$ reaches 3 within $1\%$, i. e. $\mathcal{D}_2(r)>2. 97$ for $r>\mathcal{R}_H$, we find $\mathcal{R}_H = (63. 3\pm0. 7) \ h^{-1}\ \mathrm{Mpc}$, in agreement at the percentage level with the predictions of the $\Lambda$CDM model $\mathcal{R}_H=62. 0\ h^{-1}\ \mathrm{Mpc}$.
Cosmology and Nongalactic Astrophysics
2 code implementations • 11 Jul 2016 • Yuting Wang, Gong-Bo Zhao, Chia-Hsun Chuang, Ashley J. Ross, Will J. Percival, Héctor Gil-Marín, Antonio J. Cuesta, Francisco-Shu Kitaura, Sergio Rodriguez-Torres, Joel R. Brownstein, Daniel J. Eisenstein, Shirley Ho, Jean-Paul Kneib, Matt Olmstead, Francisco Prada, Graziano Rossi, Ariel G. Sánchez, Salvador Salazar-Albornoz, Daniel Thomas, Jeremy Tinker, Rita Tojeiro, Mariana Vargas-Magaña, Fangzhou Zhu
Splitting the sample into multiple overlapping redshift slices to extract the redshift information of galaxy clustering, we obtain a measurement of $D_A(z)/r_d$ and $H(z)r_d$ at nine effective redshifts with the full covariance matrix calibrated using MultiDark-Patchy mock catalogues.
Cosmology and Nongalactic Astrophysics
no code implementations • 22 Sep 2015 • Beth Reid, Shirley Ho, Nikhil Padmanabhan, Will J. Percival, Jeremy Tinker, Rita Tojeiro, Martin White, Daniel J. Eisenstein, Claudia Maraston, Ashley J. Ross, Ariel G. Sanchez, David Schlegel, Erin Sheldon, Michael A. Strauss, Daniel Thomas, David Wake, Florian Beutler, Dmitry Bizyaev, Adam S. Bolton, Joel R. Brownstein, Chia-Hsun Chuang, Kyle Dawson, Paul Harding, Francisco-Shu Kitaura, Alexie Leauthaud, Karen Masters, Cameron K. McBride, Surhud More, Matthew D. Olmstead, Daniel Oravetz, Sebastian E. Nuza, Kaike Pan, John Parejko, Janine Pforr, Francisco Prada, Sergio Rodriguez-Torres, Salvador Salazar-Albornoz, Lado Samushia, Donald P. Schneider, Claudia G. Scoccola, Audrey Simmons, Mariana Vargas-Magana
We also present the algorithms used to create large scale structure catalogues for the final Data Release (DR12) samples and the associated random catalogues that quantify the survey mask.
Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies
2 code implementations • 18 Mar 2013 • Eyal A. Kazin, Ariel G. Sanchez, Antonio J. Cuesta, Florian Beutler, Chia-Hsun Chuang, Daniel J. Eisenstein, Marc Manera, Nikhil Padmanabhan, Will J. Percival, Francisco Prada, Ashley J. Ross, Hee-Jong Seo, Jeremy Tinker, Rita Tojeiro, Xiaoying Xu, J. Brinkmann, Brownstein Joel, Robert C. Nichol, David J. Schlegel, Donald P. Schneider, Daniel Thomas
The baryonic acoustic feature is used to obtain model independent constraints cz/H/r_s = 12. 28 +- 0. 82 (6. 7 per-cent accuracy) and D_A/r_s = 9. 05 +- 0. 27 (3. 0 per-cent) with a correlation coefficient of -0. 5, where r_s is the sound horizon scale at the end of the baryonic drag era.
Cosmology and Nongalactic Astrophysics General Relativity and Quantum Cosmology
1 code implementation • 25 Jul 2011 • Jeremy Tinker, Andrew Wetzel, Charlie Conroy
Using the 4000-A break as a measure of star formation history, we examine the correlation between the quenched fraction of galaxies, f_q, and large-scale environment, rho.
Cosmology and Nongalactic Astrophysics
