22 datasets found

The dataset used for testing the utility of the nearest neighbor machine learning algorithm for photometric redshift estimation.

The dataset used for testing the utility of the nearest neighbor machine learning algorithm for photometric redshift estimation.

The dataset used for training a nearest neighbor instance-based machine learning algorithm to generate full photometric redshift probability density functions for objects in the...

The dataset used for training a nearest neighbor instance-based machine learning algorithm to generate full photometric redshift probability density functions for objects in the...

The dataset used in this paper is a collection of simulated data for various astrophysics and cosmology problems.

The dataset used in this paper is a collection of simulated data for various astrophysics and cosmology problems.

Local cosmic distance ladder measurements of the expansion rate, using type Ia SNe calibrated by variable Cepheid stars from the S𝐻0ES collaboration

Baryon Acoustic Oscillation and Redshift Space Distortion measurements from the Baryon Oscillation Spectroscopic Survey (BOSS) DR12

Planck base-line TT,TE,EE+lowE likelihood (without lensing) Planck Collaboration

The dataset used in this research is the TNG50-1-Dark dataset from the IllustrisTNG simulations, which model the universe's evolution following a ΛCDM cosmology.

The dataset used to analyze the probability of life in a random universe.

The dataset used in this paper for studying the impact of systematics on future tomographic cosmic shear measurements.

The dataset used in this paper for computing the biases that residual systematics introduce in parameter estimation using a simple extension of the Fisher matrix formalism.

The Sloan Digital Sky Survey (SDSS) is a large astronomical survey that maps the sky in visible, ultraviolet, and infrared light.

The dataset used in this paper is a collection of galaxy and dark matter halo data, used for reconstructing the Cosmic web structure.

2D image snapshots from N-body simulations of size 500 Mpc and 100 Mpc

Cosmological simulations play a crucial role in elucidating the effect of physical parameters on the statistics of fields and on constraining parameters given information on...

The CAMELS project: Cosmology and astrophysics with machine-learning simulations.

The IllustrisTNG dataset is a collection of cosmological simulations of galaxy formation and evolution.

The Latin Hypercube set of the IllustrisTNG suite from the 2D CAMELS Multifield Dataset at z = 0.