Searching for codes credited to 'Seo, Hee-Jong'
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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:2401.010]
SYSNet: Neural Network modeling of imaging systematics in galaxy surveys
The Feed Forward Neural Network SYSNet models the relationship between the imaging maps, such as stellar density and the observed galaxy density field, in order to mitigate the systematic effects and to make a robust galaxy clustering measurements. The cost function is Mean Squared Error and a L2 regularization term, and the optimization algorithm is Adaptive Moment (ADAM).