1 code implementation • 19 Oct 2023 • Lucas Maison, Hélion du Mas des Bourboux, Thomas Courtat
Compressing neural networks is a key step when deploying models for real-time or embedded applications.
1 code implementation • 25 Nov 2022 • Hélion du Mas des Bourboux
These models are given real data, simulated data or combination of both and are trained to be highly predictive on them.
Generative Adversarial Network Out of Distribution (OOD) Detection
2 code implementations • 17 Jul 2020 • Hélion du Mas des Bourboux, James Rich, Andreu Font-Ribera, Victoria de Sainte Agathe, James Farr, Thomas Etourneau, Jean-Marc Le Goff, Andrei Cuceu, Christophe Balland, Julian E. Bautista, Jonathan Brinkmann, Joel R. Brownstein, Solène Chabanier, Edmond Chaussidon, Kyle Dawson, Alma X. González-Morales, Julien Guy, Brad W. Lyke, Axel de la Macorra, Adam D. Myers, Christian Nitschelm, Andrea Muñoz Gutiérrez, Nathalie Palanque-Delabrouille, James Parker, Will J. Percival, Ignasi Pérez-Ràfols, Patrick Petitjean, Matthew M. Pieri, Corentin Ravoux, Graziano Rossi, Donald P. Schneider, Hee-Jong Seo, Anže Slosar, Julianna Stermer, M. Vivek, Christophe Yèche, Samantha Youles
We present a measurement of baryonic acoustic oscillations (BAO) from Lyman-$\alpha$ (Ly$\alpha$) absorption and quasars at an effective redshift $z=2. 33$ using the complete extended Baryonic Oscillation Spectroscopic Survey (eBOSS).
Cosmology and Nongalactic Astrophysics
1 code implementation • 17 Jul 2020 • Yuting Wang, Gong-Bo Zhao, Cheng Zhao, Oliver H. E. Philcox, Shadab Alam, Amélie Tamone, Arnaud de Mattia, Ashley J. Ross, Anand Raichoor, Etienne Burtin, Romain Paviot, Sylvain de la Torre, Will J. Percival, Kyle S. Dawson, Héctor Gil-Marín, Julian E. Bautista, Jiamin Hou, Kazuya Koyama, John A. Peacock, Vanina Ruhlmann-Kleider, Hélion du Mas des Bourboux, Johan Comparat, Stephanie Escoffier, Eva-Maria Mueller, Jeffrey A. Newman, Graziano Rossi, Arman Shafieloo, Donald P. Schneider
We perform a multi-tracer analysis using the complete Sloan Digital Sky Survey IV (SDSS-IV) extended Baryon Oscillation Spectroscopic Survey (eBOSS) DR16 luminous red galaxy (LRG) and the DR16 emission line galaxy (ELG) samples in the configuration space, and successfully detect a cross correlation between the two samples, and find the growth rate to be $f\sigma_8=0. 342 \pm 0. 085$ ($\sim25$ per cent accuracy) from the cross sample alone.
Cosmology and Nongalactic Astrophysics
1 code implementation • 17 Jul 2020 • Julian E. Bautista, Romain Paviot, Mariana Vargas Magaña, Sylvain de la Torre, Sebastien Fromenteau, Hector Gil-Marín, Ashley J. Ross, Etienne Burtin, Kyle S. Dawson, Jiamin Hou, Jean-Paul Kneib, Arnaud de Mattia, Will J. Percival, Graziano Rossi, Rita Tojeiro, Cheng Zhao, Gong-Bo Zhao, Shadab Alam, Joel Brownstein, Michael J. Chapman, Peter D. Choi, Chia-Hsun Chuang, Stéphanie Escoffier, Axel de la Macorra, Hélion du Mas des Bourboux, Faizan G. Mohammad, Jeongin Moon, Eva-Maria Müller, Seshadri Nadathur, Jeffrey A. Newman, Donald Schneider, Hee-Jong Seo, Yuting Wang
We present the cosmological analysis of the configuration-space anisotropic clustering in the completed Sloan Digital Sky Survey IV (SDSS-IV) extended Baryon Oscillation Spectroscopic Survey (eBOSS) DR16 galaxy sample.
Cosmology and Nongalactic Astrophysics
1 code implementation • 27 Mar 2020 • Thomas Courtat, Hélion du Mas des Bourboux
We present a neural network architecture able to efficiently detect modulation scheme in a portion of I/Q signals.
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 • 29 Feb 2016 • Pierre Laurent, Jean-Marc Le Goff, Etienne Burtin, Jean-Christophe Hamilton, David W. Hogg, Adam Myers, Pierros Ntelis, Isabelle Pâris, James Rich, Eric Aubourg, Julian Bautista, Timothée Delubac, Hélion du Mas des Bourboux, Sarah Eftekharzadeh, Nathalie Palanque Delabrouille, Patrick Petitjean, Graziano Rossi, Donald P. Schneider, Christophe Yeche
For the matter distribution we obtain $3-\langle D_2 \rangle < 5 \times 10^{-5}$ (2 $\sigma$) over the range $250<r<1200 \, h^{-1}$Mpc, consistent with homogeneity on large scales.
Cosmology and Nongalactic Astrophysics