Photometric Redshifts for Cosmology: Improving accuracy and uncertainty estimates using Bayesian Neural Networks

Jones, Evan;Do, Tuan;Boscoe, Bernadette;Wan, Yujie;Nguyen, Zooey

Description

This data consists of 286,401 with broad-band g,r,i,z,y photometry from the HSC DR2 survey and spectroscopic redshifts. The majority of galaxies in our sample lies between redshift of 0.01 and 2.5

Citations (2)

https://doi.org/10.3847/1538-4357/ad6d5a
DataCite OpenAlex
Cited on 01 October 2024
Weight: 1.46
https://doi.org/10.3847/1538-4357/ad2070
OpenAlex
Cited on 26 March 2024
Weight: 1.46

Mentions (0)

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Metrics

Dataset Index

2.0

FAIR Score

81%

Citations

Mentions

Metrics Over Time

Publication Details

DOI

10.5281/zenodo.5528827

Publisher

Zenodo

Assigned Domain

Subfield

Astronomy and Astrophysics

Field

Physics and Astronomy

Domain

Physical Sciences

Confidence Score

97%

Source

Open Alex

Keywords

photometric redshiftsmachine learning

Normalization Factors

26.92

CTw

1.00

MTw

1.00