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82 results for “Cosmology”
Exploring the halo occupation of AGN using dark-matter cosmological simulations
<p>A semi-empirical model is presented that describes the distribution of Active Galactic Nuclei (AGN) on the cosmic web. It populates dark-matter halos in N-body simulations (MultiDark) with galaxy stellar masses using empirical relations based on abundance matching techniques, and then paints accretion events on these galaxies using state-of-the-art measurements of the AGN occupation of galaxies. The explicit assumption is that the large-scale distribution of AGN is independent of the physics of black-hole fueling. The model is shown to be consistent with current measurements of the two-point correlation function of AGN samples. It is then used to make inferences on the halo occupation of the AGN population. Mock AGN are found in halos with a broad distribution of masses with a mode of $\approx 10^{12}\,h^{-1} \, M_{\odot}$ and a tail extending to cluster-size halos. The clustering properties of the model AGN depend only weakly on accretion luminosity and redshift. The fraction of satellite AGN in the model increases steeply toward more massive halos, in contrast with some recent observational results. This discrepancy, if confirmed, could point to a dependence of the halo occupation of AGN on the physics of black-hole fueling.</p>
Intermediate-Mass & Supermassive Black Hole Feedback in Cosmological Hydrodynamical Simulations
<p>Intermediate-Mass Black Holes (IMBHs: with mass between 100 to 10^6 Msun) historically comprise of an elusive population in the Universe compared to the widely observed Stellar-Mass and Supermassive Black Holes. An increasing fraction of low-mass galaxies are observed to host IMBHs at their centers; some of which show signatures of activity in the form of low-luminosity AGN. In this context, a pertinent theory is that there are dormant IMBHs at the centers of Dwarf Galaxies, which we explore by performing small-volume Cosmological Hydrodynamical Simulations. The IMBHs are expected to be more prevalent in low-mass halos. We also perform medium-volume cosmological simulations to explore feedback from supermassive BHs. Our simulations employ a modified version of the SPH code GADGET-3, and include baryonic feedback models: radiative cooling, star formation, chemical enrichment, stellar evolution, supernova feedback, AGN accretion and AGN kinetic feedback. We investigate the growth of central IMBHs and SMBHs in galaxies employing the different volume simulations, as well as the resulting BH feedback. We quantify the impact of central massive BHs on their host galaxies; especially the effects on star formation and galaxy gas properties.</p>
The detection of relativistic corrections in cosmological N-body simulations
<p>This directory contains all the necessary data, codes, and notebooks to reproduce the results of the paper titled "The detection of relativistic corrections in cosmological N-body simulations" (<a href="https://arxiv.org/abs/1909.04652">https://arxiv.org/abs/1909.04652</a>).<br> <br> This paper has also been published in Celestial Mechanics and Dynamical Astronomy and can be found in volume 132, Article number: 2 (2020) which can be accessed at this link: <a href="https://link.springer.com/article/10.1007/s10569-019-9943-z">https://link.springer.com/article/10.1007/s10569-019-9943-z </a>. </p> <p>Directories</p> <ul> <li><strong>codes</strong>: This directory contains different codes used to generate and post-process the simulation data.</li> <li><strong>data</strong>: This directory contains the data generated as part of the project.</li> <li><strong>notebooks</strong>: This directory includes Jupyter notebooks and perl files to reproduce the figures presented in the paper.</li> <li><strong>supplementary</strong>: This directory contains the supplementary materials associated with the project.</li> </ul> <p>How to Use</p> <ol> <li>Download the files to your local machine.</li> <li>Navigate to the directory where the files are saved.</li> <li>Install the necessary packages</li> <li>Navigate to the "<strong>notebooks</strong>" directory and open the Jupyter notebooks in your preferred environment.</li> <li>Run the cells in the notebooks to reproduce the figures.</li> <li>Navigate to the "<strong>codes</strong>" directory and use the appropriate code to generate and post-process the simulation data.</li> <li>Navigate to the "<strong>data</strong>" directory to access the data.</li> </ol> <p><br> If you have any feedback or request feel free to email farbod.hassani@gmail.com or Jean-Pierre.Eckmann@unige.ch</p>
Clustering dark energy imprints on cosmological observables of the gravitational field
<p>This file contains all the necessary data, codes, and notebooks to reproduce the results of the paper titled "Clustering dark energy imprints on cosmological observables of the gravitational field" (<a href="https://arxiv.org/abs/2007.04968">https://arxiv.org/abs/2007.04968</a>).</p> <p><br> This paper has also been published in MNRAS which can be accessed at this link: <a href="https://doi.org/10.1093/mnras/staa3589">https://doi.org/10.1093/mnras/staa3589</a>.</p> <p>Directories</p> <ul> <li><strong>codes</strong>: This directory includes the codes to generate and post-process the simulation data.</li> <li><strong>data</strong>: This directory contains the data generated as part of the project.</li> <li><strong>jupyter_notebooks</strong>: This directory includes Jupyter notebooks to reproduce the figures presented in the paper.</li> <li><strong>supplementary_materials</strong>: This directory contains the supplementary materials associated with the project.</li> </ul> <p>How to Use</p> <ol> <li>Download the files to your local machine.</li> <li>Navigate to the directory where the files are saved.</li> <li>Install the necessary packages</li> <li>Navigate to the "<strong>jupyter_notebooks</strong>" directory and open the Jupyter notebooks in your preferred environment.</li> <li>Run the cells in the notebooks to reproduce the figures.</li> <li>Navigate to the "<strong>codes</strong>" directory and use the appropriate code to generate and post-process the simulation data.</li> <li>Navigate to the "<strong>data</strong>" directory to access the simulation data.</li> </ol> <p><br> If you have any feedback or request feel free to email farbod.hassani@gmail.com</p>
Supplementary Data: CosmoBit: A GAMBIT module for computing cosmological observables and likelihoods (arXiv:2009.03286)
<p><strong>Supplementary Data</strong><br> <em>CosmoBit: A GAMBIT module for computing cosmological observables and likelihoods</em></p> <p>This record contains the samples and plotting routines used to create the figures and to derive most of the results in J.J. Renk et al., “CosmoBit: A GAMBIT module for computing cosmological observables and likelihoods” (available on the <a href="http://arxiv.org/abs/2009.03286">arXiv</a>)</p>
georgestein/ml-in-cosmology: Machine learning in cosmology
<p>An attempt to create a comprehensive list of machine learning applications to cosmology, organized by subject matter and arXiv posting date. See https://github.com/georgestein/ml-in-cosmology for the most up-to-date list.</p> <p>Each entry contains the paper title, a simple summary of the machine learning methods used in the work, and the arXiv link.</p> <p>This will continue to be periodically updated</p>
Mathematica codes for: Cosmological singularity as an informational seed for Everything
<p>The Mathematica notebooks calculate mean values of the energy density of the quantum fields under curved background. The background of the uniform isotropic expanding universe is implied. The notebooks densitySec2.nb and densitySec3.nb are related to the methods described in the second and third sections of the paper respectively. These notebooks give the same results.</p>
The Birth of a Relativistic Jet Following the Disruption of a Star by a Cosmological Black Hole
<p>Please see the README file in there</p>
A Cosmological Benchmark for Symmetry-Preserving Data Processing
Open the record for dataset details and reuse information.
FIG. 5 in Prey into kin: the cosmological role of the pig in the Kelabit Highlands, Sarawak
FIG. 5. — Telona Bala, Jolly and Melkey after a successful hunting expedition, carrying a wild pig (baka), probably Sus barbatus Müller, 1838. Photo credit: Kaz Janowski, 1993.
Biased tracers as a probe of beyond-ΛCDM cosmologies
<p>This directory contains all the necessary data, codes, and notebooks to reproduce the results of the paper titled "Biased tracers as a probe of beyond-ΛCDM cosmologies" (<a href="https://arxiv.org/pdf/2206.14179.pdf">https://arxiv.org/pdf/2206.14179.pdf</a>).<br> <br> This paper has also been published in A&A and can be found in Volume 668, December 2022, Article Number A56, which can be accessed at this link: <a href="https://www.aanda.org/articles/aa/full_html/2022/12/aa44405-22/aa44405-22.html">https://www.aanda.org/articles/aa/full_html/2022/12/aa44405-22/aa44405-22.html</a>. The paper is part of the Cosmology (including clusters of galaxies) section and has a DOI of <a href="https://doi.org/10.1051/0004-6361/202244405">https://doi.org/10.1051/0004-6361/202244405</a>.</p> <p>Directories</p> <ul> <li><strong>codes</strong>: This directory contains different codes used to generate and post-process the simulation data, including k-evolution, gevolution, Pylians and CLASS, Latfield2, and Rockstar.</li> <li><strong>data</strong>: This directory includes the data for the power spectra and halos for different simulations.</li> <li><strong>figures_Jupyter_notebooks</strong>: This directory includes Jupyter notebooks to reproduce the figures presented in the paper.</li> <li><strong>simulation_settings</strong>: This directory includes the settings files that were used to run the simulations.</li> </ul> <p>How to Use</p> <ol> <li>Download the files to your local machine.</li> <li>Navigate to the directory where the files are saved.</li> <li>Install the necessary packages</li> <li>Navigate to the "figures_Jupyter_notebooks" directory and open the Jupyter notebooks in your preferred environment.</li> <li>Run the cells in the notebooks to reproduce the figures.</li> <li>Navigate to the "codes" directory and use the appropriate code to generate and post-process the simulation data.</li> <li>Navigate to the "data" directory to access the simulation data.</li> <li>Use the simulation settings files in the "simulation_settings" directory to replicate the simulations.</li> </ol> <p>Note: Some of the simulations may require high computational resources and may take a significant amount of time to run.<br> <br> If you have any feedback or request feel free to email farbod.hassani@gmail.com</p>
Mathematica codes for: Cosmological singularity as an informational seed for Everything
Open the record for dataset details and reuse information.
Gravitational-Wave Lunar Observatory for Cosmology (Sensitivity Curves)
<p>Sensitivity noise curves for the lunar-based gravitational-wave detector GLOC.</p> <ul> <li>GLOC_optimal.txt refers to the optimal case of sensitivity down to f=0.25 Hz</li> <li>GLOC_conservative.txt refers to the conservative case of sensitivity down to f=1 Hz</li> <li>The first column in the file is the frequency (in Hz) and the second is the detector strain (in 1/sqrt(Hz))</li> </ul>
Mérida Cosmological Mosaic
3rd or 4th century CE Cosmological Mosaic from the Casa del Mitreo in Mérida, Spain (ancient Augusta Emerita) Source: Objaverse 1.0 / Sketchfab
ATITPhysics 2022W - de Sitter Representations in Primordial Cosmology
<p>These lecture series are given in ATITPhysics 2022 Winter School.</p>
Atacama Cosmology Telescope 2008 Survey 148-GHz Extragalactic Source Catalog
This table contains a list of extragalactic radio sources detected in a 455 square-degree map of the southern sky made at a frequency of 148 GHz from the Atacama Cosmology Telescope (ACT) 2008 observing season. This catalog has 157 sources with flux densities spanning two orders of magnitude from 15 to 1500 mJy. Comparison to other catalogs shows that 98% of the ACT detections correspond to sources detected at lower radio frequencies. Three of the sources appear to be associated with the brightest cluster galaxies of low redshift X-ray selected galaxy clusters. Estimates of the radio to mm-wave spectral indices and differential counts of the sources further bolster the hypothesis that they are nearly all radio sources, and that their emission is not dominated by re-emission from warm dust. In a bright (>50 mJy) 148 GHz-selected sample with complete cross-identifications from the Australia Telescope 20-GHz survey, the authors of the study observe an average steepening of the spectra between 5, 20, and 148 GHz with median spectral indices of alpha<sub>5-20</sub> = -0.07 +/- 0.06, alpha<sub>20-148</sub> = -0.39 +/- 0.04, and alpha<sub>5-148</sub> = -0.20 +/- 0.03. When the measured spectral indices are taken into account, the 148-GHz differential source counts are consistent with previous measurements at 30 GHz in the context of a source count model dominated by flat spectrum radio sources. Extrapolating with an appropriately rescaled model for the radio source counts, the Poisson contribution to the spatial power spectrum from synchrotron-dominated sources with flux density less than 20 mJy is C<sub>Sync</sub> = (2.8 +/- 0.3) x 10<sup>-6</sup> microKelvin<sup>2</sup>. This table was created by the HEASARC in January 2011 based on an electronic version of Table A1 from the paper (the Point Source Catalog) which was obtained from the LAMBDA website at <a href="http://lambda.gsfc.nasa.gov/product/suborbit/act_prod_table.cfm">http://lambda.gsfc.nasa.gov/product/suborbit/act_prod_table.cfm</a> This is a service provided by NASA HEASARC .
Atacama Cosmology Telescope 2008 Southern Survey 148/218 GHz Source Catalog
This table contains a catalog of 191 extragalactic sources detected by the Atacama Cosmology Telescope (ACT) at 148 and/or 218 GHz in the 2008 Southern survey. Flux densities span 14 -1700 mJy, and the authors use source spectral indices derived using ACT-only data to divide their sources into two subpopulations: 167 radio galaxies powered by central active galactic nuclei (AGN) and 24 dusty star-forming galaxies (DSFGs). They cross-identify 97% of their sources (166 of the AGN and 19 of the DSFGs) with those in currently available catalogs. When combined with flux densities from the Australia Telescope 20-GHz survey and follow-up observations with the Australia Telescope Compact Array, the synchrotron-dominated population is seen to exhibit a steepening of the slope of the spectral energy distribution from 20 to 148 GHz, with the trend continuing to 218 GHz. The ACT dust-dominated source population has a median spectral index, alpha<sub>148-218GHz</sub>, of 3.7<sup>+0.62</sup><sub>-0.86</sub>, and includes both local galaxies and sources with redshift around 6. Dusty sources with no counterpart in existing catalogs likely belong to a recently discovered subpopulation of DSFGs lensed by foreground galaxies or galaxy groups. The ACT experiment (Swetz et al., 2011, ApJS, 194, 41) is situated on the slopes of Cerro Toco in the Atacama Desert of Chile at an elevation of 5190m. ACT's latitude gives access to both the northern and southern celestial hemispheres. Observations occurred simultaneously in three frequency bands, at 148 GHz (2.0 mm), 218 GHz (1.4 mm) and 277 GHz (1.1 mm) with angular resolutions of roughly 1.4, 1.0 and 0.9 arcminutes, respectively. The ACT-detected source list contains 169 sources selected at 148 GHz with S/N > 5, spanning two decades in flux density, from 14 to 1700 mJy. The 218 GHz map independently yielded 133 sources with S/N > 5. The combination of these two independent source lists from which the present table was constructed gives a total count of 191 sources, with 110 galaxies detected with S/N > 5 at both frequencies. This table was created by the HEASARC in May 2015 based on <a href="https://cdsarc.cds.unistra.fr/ftp/cats/J/MNRAS/439/1556/">CDS Catalog J/MNRAS/439/1556/</a> file table4.dat. This is a service provided by NASA HEASARC .
Atacama Cosmology Telescope (ACT) Extragalactic Southern Sources Catalog
The ACTSOUTH catalog is a multi-frequency, multi-epoch catalog of extragalactic sources, based on 150, 220 and 280 GHz observations carried out in 2008, 2009 and 2010 using the Millimeter Bolometric Array Camera on the Atacama Cosmology Telescope. The catalog contains 695 sources, found in a sky area of ~600 square degrees. It is obtained by cross-matching sources found in 11 sub-catalogs, one for each season and frequency band. Also include are co-added data from ~150 and ~160 square degrees using 2 and 3 years of overlapping observations. The authors divide the sources into two populations, synchrotron and dusty emitters, based on their spectral behavior in the 150 - 220 GHz frequency range. They find 374 synchrotron sources and 321 dusty source candidates. Cross-matching with catalogs from radio to X-ray results in 264 synchrotron sources (71%) and 89 dusty sources (28%) with counterparts, suggesting that 232 dusty candidates are not in existing catalogs. This table was ingested by the HEASARC in November 2023 based upon the files downloaded from the LAMBDA archive at <a href="https://lambda.gsfc.nasa.gov/product/act/act_south_cat_get.html">https://lambda.gsfc.nasa.gov/product/act/act_south_cat_get.html</a>. This is a service provided by NASA HEASARC .
Atacama Cosmology Telescope DR5 Sunyaev-Zeldovich Cluster Catalog
The catalog of 4195 optically confirmed Sunyaev-Zel'dovich (SZ) selected galaxy clusters were detected with signal-to-noise > 4 in 13,211 deg<sup>2</sup> of sky surveyed by the Atacama Cosmology Telescope (ACT). Cluster candidates were selected by applying a multi-frequency matched filter to 98- and 150-GHz maps constructed from ACT observations obtained from 2008-2018 and confirmed using deep, wide-area optical surveys. The clusters span the redshift range 0.04 < z < 1.91 (median z = 0.52). The catalog contains 222 z > 1 clusters, and a total of 868 systems are new discoveries. Assuming an SZ-signal vs. mass scaling relation calibrated from X-ray observations, the sample has a 90% completeness mass limit of M<sub>500c</sub> > 3.8 x 10<sup>14</sup>M<sub>sol</sub>, evaluated at z=0.5, for clusters detected at signal-to-noise ratio > 5 in maps filtered at an angular scale of 2.40. The survey has a large overlap with deep optical weak-lensing surveys that are being used to calibrate the SZ-signal mass-scaling relation, such as the Dark Energy Survey (4566 deg<sup>2</sup>), the Hyper Suprime-Cam Subaru Strategic Program (469 deg<sup>2</sup>), and the Kilo Degree Survey (825 deg<sup>2</sup>). This HEASARC database table was ingested in February 2021. It contains the ACT DR5 SZ cluster catalog obtained from the LAMDBA website (<a href="https://lambda.gsfc.nasa.gov/product/act/actpol_dr5_szcluster_catalog_info.cfm#catalog">https://lambda.gsfc.nasa.gov/product/act/actpol_dr5_szcluster_catalog_info.cfm#catalog</a>). This is a service provided by NASA HEASARC .
Non-parametric reconstruction of the cosmological jerk parameter
<p>This .zip file contains a compilation of the jerk parameter data set generated on performing the non-parametric reconstruction, using the Gaussian Process method.</p> <p>The details can be found in the README file.</p>
ScienceDex guides
Understand access before you commit
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.