Search Results for author: Reiko Nakajima

Found 2 papers, 2 papers with code

Weak-lensing shear measurement with machine learning: teaching artificial neural networks about feature noise

1 code implementation5 Jul 2018 Malte Tewes, Thibault Kuntzer, Reiko Nakajima, Frédéric Courbin, Hendrik Hildebrandt, Tim Schrabback

A challenging peculiarity of this ML application is the combination of the noisiness of the input features and the requirements on the accuracy of the inverse regression.

Cosmology and Nongalactic Astrophysics Machine Learning

GalSim: The modular galaxy image simulation toolkit

1 code implementation29 Jul 2014 Barnaby Rowe, Mike Jarvis, Rachel Mandelbaum, Gary M. Bernstein, James Bosch, Melanie Simet, Joshua E. Meyers, Tomasz Kacprzak, Reiko Nakajima, Joe Zuntz, Hironao Miyatake, Joerg P. Dietrich, Robert Armstrong, Peter Melchior, Mandeep S. S. Gill

GALSIM is a collaborative, open-source project aimed at providing an image simulation tool of enduring benefit to the astronomical community.

Instrumentation and Methods for Astrophysics Cosmology and Nongalactic Astrophysics 85-04

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