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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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Deep Lensing Posterior Samples

Authors: Benjamin Remy; Francois Lanusse; Niall Jeffrey; Jia Liu; Jean-Luc Starck; Ken Osato; Tim Schrabback;

Deep Lensing Posterior Samples

Abstract

This archive contains the main results of Probabilistic Mass Mapping with Neural Score Estimation (Remy et al. 2022). It consists of convergence posterior samples computed with our method from different fields (HSC/ACS COSMOS, mocked shear field computed from \kappaTNG map, mocked shear field with added NFW cluster). It also contains the trained neural network weights we used. The details of the creation of this dataset and how to use it to reproduce the plots of the paper can be found at https://github.com/cosmoStat/jax-lensing .

Keywords

results, astrophysics, mass-mapping, posterior samples, cosmology

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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