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Found 16 papers, 8 papers with code
The CAMELS project: public data release
The Cosmology and Astrophysics with MachinE Learning Simulations (CAMELS) project was developed to combine cosmology with astrophysics through thousands of cosmological hydrodynamic simulations and machine learning.
Augmenting astrophysical scaling relations with machine learning: application to reducing the Sunyaev-Zeldovich flux-mass scatter
Using SR on the data from the IllustrisTNG hydrodynamical simulation, we find a new proxy for cluster mass which combines $Y_\mathrm{SZ}$ and concentration of ionized gas ($c_\mathrm{gas}$): $M \propto Y_\mathrm{conc}^{3/5} \equiv Y_\mathrm{SZ}^{3/5} (1-A\, c_\mathrm{gas})$.
The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence
We present the Cosmology and Astrophysics with MachinE Learning Simulations (CAMELS) Multifield Dataset, CMD, a collection of hundreds of thousands of 2D maps and 3D grids containing many different properties of cosmic gas, dark matter, and stars from 2, 000 distinct simulated universes at several cosmic times.
The Impacts of Modeling Choices on the Inference of the Circumgalactic Medium Properties from Sunyaev-Zeldovich Observations
Finally, we show how different fitting models can reproduce parameters of a fiducial profile, and show that the addition of a two-halo term and matching by the mass distribution of the sample are extremely important modeling choices to consider.
Astrophysics of Galaxies
Constraining reionization with the first measurement of the cross-correlation between the CMB optical-depth fluctuations and the Compton y-map
Since the power spectrum of the electron density fluctuations is constrained by the $\delta\tau$ auto spectrum, the temperature constraints should be only weakly model-dependent on the details of the electron distributions and should be statistically representative of the temperature in ionized bubbles during reionization.
PICO
Cosmology and Nongalactic Astrophysics
Astrophysics of Galaxies
Constraints on $f(R)$ and nDGP Modified Gravity Model Parameters with Cluster Abundances and Galaxy Clustering
For a fiducial model of $f(R)$ with $\text{log}_{10}(f_{R0})=-6$ and $n=1$ we find combined constraints of $\sigma(\text{log}_{10}(f_{R0}))=0. 48$ and $\sigma(n)=2. 3$, while for the nDGP model with $n_{\text{nDGP}}=1$ we find $\sigma(n_{\text{nDGP}})=0. 087$.
Cosmology and Nongalactic Astrophysics General Relativity and Quantum Cosmology
The CAMELS project: Cosmology and Astrophysics with MachinE Learning Simulations
We present the Cosmology and Astrophysics with MachinE Learning Simulations --CAMELS-- project.
Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies Instrumentation and Methods for Astrophysics
The Atacama Cosmology Telescope: Delensed Power Spectra and Parameters
Our results show that gravitational lensing of the microwave background is internally consistent within the framework of the standard cosmological model.
Cosmology and Nongalactic Astrophysics High Energy Physics - Phenomenology
The Atacama Cosmology Telescope: A CMB lensing mass map over 2100 square degrees of sky and its cross-correlation with BOSS-CMASS galaxies
We construct cosmic microwave background lensing mass maps using data from the 2014 and 2015 seasons of observations with the Atacama Cosmology Telescope (ACT).
Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies
The Atacama Cosmology Telescope: Constraints on Cosmic Birefringence
We present new constraints on anisotropic birefringence of the cosmic microwave background polarization using two seasons of data from the Atacama Cosmology Telescope covering $456$ square degrees of sky.
Cosmology and Nongalactic Astrophysics High Energy Physics - Experiment High Energy Physics - Phenomenology
The Atacama Cosmology Telescope: Component-separated maps of CMB temperature and the thermal Sunyaev-Zel'dovich effect
In this paper, we implement a component separation method based on the internal linear combination (ILC) approach which we have designed to optimally account for the anisotropic noise (in the 2D Fourier domain) often found in ground-based CMB experiments.
Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies
Multiwavelength cluster mass estimates and machine learning
One emerging application of machine learning methods is the inference of galaxy cluster masses.
Cosmology and Nongalactic Astrophysics
Fast Radio Burst Tomography of the Unseen Universe
The discovery of Fast Radio Bursts (FRBs) at cosmological distances has opened a powerful window on otherwise unseen matter in the Universe.
High Energy Astrophysical Phenomena Astrophysics of Galaxies
Statistical properties of paired fixed fields
We quantify the statistical improvement brought by these simulations, over standard ones, on different power spectra such as matter, halos, CDM, gas, stars, black-holes and magnetic fields, finding that they can reduce their variance by factors as large as $10^6$.
Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics
Evidence for the kinematic Sunyaev-Zeľdovich effect with ACTPol and velocity reconstruction from BOSS
We use microwave temperature maps from two seasons of data from the Atacama Cosmology Telescope (ACTPol) at 146 GHz, together with the Constant Mass CMASS galaxy sample from the Baryon Oscillation Spectroscopic Survey to measure the kinematic Sunyaev-Ze\v{l}dovich (kSZ) effect over the redshift range z = 0. 4 - 0. 7.
Cosmology and Nongalactic Astrophysics
A Machine Learning Approach for Dynamical Mass Measurements of Galaxy Clusters
In the conventional method, we use a standard M(sigma_v) power law scaling relation to infer cluster mass, M, from line-of-sight (LOS) galaxy velocity dispersion, sigma_v.
Cosmology and Nongalactic Astrophysics
