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Dataset results
119 results for “HALOE”
Photos data for "Revealing Halos Concealed by CIrrus Clouds"
<p>Original photo data which are shown on the figures in the manuscript, "Revealing Hlaos Concealed by Cirrus Clouds".</p>
Dataset for paper "Surface brightness profile of the 3.5 keV line in the Milky Way halo"
<p>Summary of observations after cleaning.</p> <p>File naming: mw-xmm-obs-<region>.csv, where <region> identifies corresponding region bounds in arcmin.</p> <p>List of fields:<br> ObsId - XMM-Newton observation id<br> l - galactic longitude, degrees<br> b - galactic latitude, degrees<br> off-center - angular distance of the instrument pointing direction from the Galactic center, arcmin<br> Exposure - cleaned exposure of the MOS1/MOS2/PN cameras, ksec<br> FoV - spectra extraction regions of the MOS1/MOS2/PN spectra (field-of-view), arcmin^2</p>
Correlation between halo properties and dark matter
<p>Pearson correlation coefficients between halo properties (panel a), the local dark matter density with halo virial mass<br> (panel b) and velocity dispersion (panel c), measured in bins of local density for different cosmic-web types, as obtained from the SLICS reference simulation. The error bars denote the standard<br> deviation obtained from the set of catalogs</p>
Distribution of halo properties
<p>Joint probability B(x, δdm) distribution of halo properties x (number counts, virial mass and velocity dispersion) and the underlying dark matter density, interpolated on a 1923 mesh using a CIC mass assignment scheme and for different cosmic-web environments. Solid lines (and coloured regions) denote contours enclosing 98 and 68% of the total number of cells in a reference SLICS simulation. Dotted lines represent the same quantity obtained from one BAM halo catalog.</p>
Distribution of halo peculiar velocities
<p>Example of the distribution of halo peculiar velocities in one reference (solid black histogram) and one BAM (solid blue and filled histogram) halo catalog, in different cosmic-web types.</p>
Slices of dark matter, halo and galaxy density fields
<p>Slices of 25 Mpc h−1 thick though different density fields involved in the calibration of the BAM products and its products. The<br> bottom panel shows the reconstruction of the halo number density field using different models of halo-bias (see §2.6). The rightmost<br> column shows galaxy density field from the reference and from BAM, built by populating halo catalogs with a model of halo occupation<br> distribution</p>
Power spectrum and reduced bispectrum of halo number-count mock catalogs
<p>Power spectrum (left) and reduced bispectrum (right) computed from sets of halo number-count mock catalogs (of 80 realizations each ) obtained from the calibration of BAM using the TkWEB model as described in . First rows show the mean in each case. The second row shows the ratio of to the reference (RTR) and the third row shows the variance in the respective statistics. The shaded area in the second rows denote the $5\%$ deviation with respect to unity.</p>
Halo power spectrum computed in real and redshift space
<p>Halo power spectrum computed from the halo catalogs in-<br> terpolated on a 4003 mesh, in real (P(k)) and redshift space, the lat-<br> ter represented through the monopole P0(k), the quadrupole P2(k)<br> and the hexadecapole P4(k). The main panels show the mean from<br> 80 SLICS realizations (green dashed line) and the mean from the<br> same number of BAM mocks (solid gray lines). The bottom panels<br> show the ratio between the mean spectra from the BAM mocks to<br> the mean from the SLICS. The gray area in the ratios show the 1σ<br> region computed from the means and their respective errors.</p>
Abundace of mock haloes
<p>Cumulative halo abundance as a function of virial mass Mvir (left column) and velocity dispersion σv (right column) obtained in different cosmic-web types.</p>
MCMC chains representing stellar halo fits for Lane et al. (2023) paper published in MNRAS
<p>Results for the paper entitled "The stellar mass of the Gaia-Sausage/Enceladus accretion remnant" published in MNRAS by Lane, Bovy, & Mackereth. The results are in the form of MCMC posterior chains, which are used to generate the results recorded in Table 1 of the manuscript. The process used to generate these data is outlined in section 2 (data & sample preparation), section 3 (Density modelling framework), and section 4 (Presentation of results) of the manuscript.</p> <p>The data are contained within a single gzipped .tar file, organized in two directories: gse/ containing the results for fits to the GS/E kinematic samples, and all/ containing the results for the fits to the whole halo sample. In the gse/ directory, there are three directories: eLz/, AD/, and JRLz/, containing the results for the fits to each of the respective kinematically defined subsamples. Within these directories, as well as within all/, are a final set of directories for each of the eight density profiles considered in the work.</p> <p>Within each of these directories are a single file named "samples.npy" which is a binary file (see <a href="https://numpy.org/doc/stable/reference/generated/numpy.lib.format.html#module-numpy.lib.format">this link</a> for format information) containing a numpy array of shape (# of parameters, # of posterior samples). The number of posterior samples is the number of walkers (100) times the number of samples per walker (10,000), minus the number of burn-in steps per walker (1,000) = 900,000. The number of parameters can be inferred from the density profiles definitions in section 3 of the manuscript, and the ordering of the parameters is the same as in Table 1. The units of the parameters are as in Table 1, except for the parameters theta and phi which are scaled such that they are defined on the interval (0,1), representing the intervals (0,2pi) and (0,pi) respectively.</p>
DAMP-Mediated Innate Immune Failure and Pneumonia After Trauma - the Harvard-Longwood (HALO) Campus Area Consortium
ClinicalTrials.gov study NCT03993002. IPD Sharing: YES. Countries: 1. Publications: 2.
HALO Patient Registry: Ablation of Barrett's Esophagus
ClinicalTrials.gov study NCT00848237. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Human Immunodeficiency Virus (HIV), Arterial Dysfunction, Lipids, Lovaza (HALO) Trial
ClinicalTrials.gov study NCT00795717. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Data from: Is there a disease-free halo at species range limits? The co-distribution of anther-smut disease and its host species
Open the record for dataset details and reuse information.
Chaotic and Clumpy Galaxy Formation in an Extremely Massive Reionization-Era Halo
<p>This is a persistent version of the datasets and data table associated with Spilker et al. (2022), ApJL. I (Justin) recommend checking https://github.com/spt-smg/publicdata for any updates to the datasets contained here; this is just a tarball of the folder in that repository for this paper, commit 9e129f2.</p>
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>
The stable isotope data, and statistic of percentage of bioturbation and their halo from early Cambrian carbonate, North China
<p>The stable isotope data, and statistic of percentage of bioturbation and their halo from early Cambrian carbonate, North China</p>
Rfa1-3HA 2E2-HALOtag SiR-HALO photos
<p>Fluorescent images of live <em>S. cerevisiae</em> cells</p>
Halo CME modeling with ENLIL, EUHFORIA, DBM and EAM models
<p>The modeling results of arrival time and impact speed for 12 halo CMEs obtained with ENLIL, EUHFORIA, DBM and EAM models, and described in the "<em>Refined modeling of geoeffective fast halo CMEs during solar cycle 24</em>" submitted to Space Weather journal.</p> <p>See README for the HaloCMEsData.zip file content.</p>
fast-SMT movies of H2B-Halo neurons
<p>Fast single molecule tracking experiments performed on primary cortical neurons infected with a lentiviral vector expressing Halo-tagged H2B.</p>
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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.