Searching for codes credited to 'Balland, Christophe'
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[ascl:2106.018]
picca: Package for Igm Cosmological-Correlations Analyses
du Mas des Bourboux, Hélion;
Rich, James;
Font-Ribera, Andreu;
de Sainte Agathe, Victoria;
Farr, James;
Etourneau, Thomas;
Le Goff, Jean-Marc;
Cuceu, Andrei;
Balland, Christophe;
Bautista, Julian E.;
Blomqvist, Michael;
Brinkmann, Jonathan;
Brownstein, Joel R.;
Chabanier, Solène;
Chaussidon, Edmond;
Dawson, Kyle;
González-Morales, Alma X.;
Guy, Julien;
Lyke, Brad W.;
de la Macorra, Axel;
Mueller, Eva-Maria;
Myers, Adam D.;
Nitschelm, Christian;
Muñoz Gutiérrez, Andrea;
Palanque-Delabrouille, Nathalie;
Parker, James;
Percival, Will J.;
Pérez-Ràfols, Ignasi;
Petitjean, Patrick;
Pieri, Matthew M.;
Ravoux, Corentin;
Rossi, Graziano;
Schneider, Donald P.;
Seo, Hee-Jong;
Slosar, Anže;
Stermer, Julianna;
Vivek, M.;
Yèche, Christophe;
Youles, Samantha
picca fits continua of forests, computes correlation functions (1D and 3D) and power-spectra (1D), computes covariance matrices, and fits models for the correlation functions. This set of tools is used for the analysis of the Lyman-alpha forest sample from the extended Baryon Oscillation Spectroscopic Survey (eBOSS) and the Dark Energy Spectroscopic Instrument (DESI).
[ascl:2106.016]
QuasarNET: CNN for redshifting and classification of astrophysical spectra
QuasarNET is a deep convolutional neural network that performs classification and redshift estimation of astrophysical spectra with human-expert accuracy. It is trained on data of low signal-to-noise and medium resolution, typical of current and future astrophysical surveys, and could be easily applied to classify spectra from current and upcoming surveys such as eBOSS, DESI and 4MOST.