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119 results for “HALOE”
Reproduction package for "ClG 0217+70: A massive merging galaxy cluster with a large radio halo and relics"
<p>This is the reproduction package for "ClG 0217+70: A massive merging galaxy cluster with a large radio halo and relics", which has been accepted for publication in A&A.</p> <p>To use this package, please read the README.</p> <p>This package is tested in an environment that contains:</p> <ul> <li>SPEX v3.06</li> <li>CIAO v4.12</li> <li>python 3.6.5 <ul> <li>numpy 1.14.3</li> <li>astropy 3.0.2</li> <li>astroquery 0.4</li> <li>scipy 1.1.0</li> <li>matplotlib 2.2.2</li> </ul> </li> </ul>
Data from: Is there a disease-free halo at species range limits? The co-distribution of anther-smut disease and its host species
1. While disease is widely recognized as affecting host population size, it has rarely been considered to play a role in determining host range limits. Many diseases may not be able to persist near the range limit if host population density falls below the critical threshold level for pathogen invasion. However, in vector- and sexually-transmitted diseases, pathogen transmission may be largely independent of host density and theory demonstrates that diseases with frequency-dependent transmission may persist in small populations near the range limit. 2. Empirical studies of disease at species range limits have lagged behind the theory, and to date, no previous study has tested the hypothesis that vector or sexually transmitted diseases can be maintained at host range limits. 3. We studied the distribution of anther-smut disease, a sterilizing pollinator-transmitted disease, on four alpine plant species to determine whether disease was present at the host range limits. 4. We found that host abundance declined towards the elevational range limits, and disease extended to the most extreme elevational range limits in three of the four host species. Maximum likelihood estimation of the magnitude of the disease-free halo showed that it was small or non-existent for all host species. Moreover, disease prevalence within populations was often higher nearer the host's range limit than in the range center and was independent of host density. 5. Synthesis: Our results show that diseases where transmission is frequency-dependent have the potential to affect host distributions not just in theory, but also in real world populations.
Crater 2: An Extremely Cold Dark Matter Halo
<p>supplementary data products, including all sky-subtracted spectra from individual targets, as well as random draws from posterior PDFs for model parameters (see enclosed README file)</p> <p> </p>
An Anti-halo Void Catalogue of the Local Super-Volume
<p>Data from the construction of an anti-halo void catalogue of the Local Super-Volume. This upload contains the full anti-halo catalogue (also included in the associated publication) as well as the individual anti-halo catalogues for each resimulated posterior sample. We also include anti-halo catalogues from the 20 independent random simulations used in the associated paper for constructing the filters and comparing to Lambda-CDM.</p><p>The catalogue is provided in both comma separated values (csv) and numpy (npz) formats. For high precision work, npz should be preferred.</p>
Heron Island Satellite Imagery Classified Benthic Data and Halo Analyses and Models
<p>This dataset includes satellite imagery data from Heron Island, Australia downloaded from Google Earth Pro in 2023, with image from Maxar Technologies dated 2016 clipped to the shallow lagoon layer from the Allen Coral Atlas shape file classified into benthic categories: corals, algae and sand using a combination of unsupervised machine learning spectral classification and manual training and assignment of classes. This dataset also includes scoring of selected coral patch reefs for isolated halos across time using historical aerial imagery.</p> <p>We also include 2 notebooks with code used to generate figures and run analyses for data, geometric, and consumer-resource models for coral halo patterns supporting the work entitled, "Consumer-resource interactions reflected in coral halo patterns" by the authors listed. A knitted html for R Markdown file is also included.</p>
The effect of local universe constraints on halo abundance and clustering
<p>These archives contain the data products described in "The effect of local universe constraints on halo adundance and clustering" by M. L. Hutt, H. Desmond, J. Devriendt and A. Slyz (2022). See the README for further details.</p>
A merged satellite data from SABER, MLS, and HALOE
<p>Dimensions: </p> <p>Time: from 1993.01 to 2020.12 </p> <p>Lev: 55 layers from the surface to 1e-5 hPa</p> <p>Lat: 22 grids from 52.5°N to 52.5°S</p> <p>Lon: 1 grid, zonal mean </p> <p> </p> <p>below 14 hPa: merge MLS and HALOE</p> <p>above 14 hPa: first merging MLS and SABER, then merge with HALOE </p>
Merging triaxial halos (simulation_icsGalacticus_massRatio0.100_orbitAngle0.000_cP10.0_cS10.0_pP1.0_qP1.0_pS1.0_qS1.0)
Gadget-format simulation data for a simulation of a merging pair of halos from the paper by Menker & Benson (2022; https://arxiv.org/abs/2205.02955), for model simulation_icsGalacticus_massRatio0.100_orbitAngle0.000_cP10.0_cS10.0_pP1.0_qP1.0_pS1.0_qS1.0
Merging triaxial halos (simulation_icsAgama_massRatio0.300_orbitAngle0.785_cP10.0_cS10.0_pP0.8_qP0.7_pS0.5_qS0.4)
Gadget-format simulation data for a simulation of a merging pair of halos from the paper by Menker & Benson (2022; https://arxiv.org/abs/2205.02955), for model simulation_icsAgama_massRatio0.300_orbitAngle0.785_cP10.0_cS10.0_pP0.8_qP0.7_pS0.5_qS0.4
Merging triaxial halos (simulation_icsAgama_massRatio0.100_orbitAngle0.000_cP10.0_cS10.0_pP1.0_qP1.0_pS1.0_qS1.0)
Gadget-format simulation data for a simulation of a merging pair of halos from the paper by Menker & Benson (2022; https://arxiv.org/abs/2205.02955), for model simulation_icsAgama_massRatio0.100_orbitAngle0.000_cP10.0_cS10.0_pP1.0_qP1.0_pS1.0_qS1.0
Merging triaxial halos (simulation_icsAgama_massRatio1.000_orbitAngle0.000_cP10.0_cS10.0_pP1.0_qP1.0_pS1.0_qS1.0)
Gadget-format simulation data for a simulation of a merging pair of halos from the paper by Menker & Benson (2022; https://arxiv.org/abs/2205.02955), for model simulation_icsAgama_massRatio1.000_orbitAngle0.000_cP10.0_cS10.0_pP1.0_qP1.0_pS1.0_qS1.0
Merging triaxial halos (simulation_icsAgama_massRatio0.100_orbitAngle0.393_cP10.0_cS10.0_pP1.0_qP1.0_pS1.0_qS1.0)
Gadget-format simulation data for a simulation of a merging pair of halos from the paper by Menker & Benson (2022; https://arxiv.org/abs/2205.02955), for model simulation_icsAgama_massRatio0.100_orbitAngle0.393_cP10.0_cS10.0_pP1.0_qP1.0_pS1.0_qS1.0
Merging triaxial halos (simulation_icsAgama_massRatio0.200_orbitAngle0.000_cP10.0_cS10.0_pP1.0_qP1.0_pS0.5_qS0.5)
Gadget-format simulation data for a simulation of a merging pair of halos from the paper by Menker & Benson (2022; https://arxiv.org/abs/2205.02955), for model simulation_icsAgama_massRatio0.200_orbitAngle0.000_cP10.0_cS10.0_pP1.0_qP1.0_pS0.5_qS0.5
Merging triaxial halos (simulation_icsAgama_massRatio0.500_orbitAngle0.393_cP10.0_cS10.0_pP0.5_qP0.5_pS0.5_qS0.4)
Gadget-format simulation data for a simulation of a merging pair of halos from the paper by Menker & Benson (2022; https://arxiv.org/abs/2205.02955), for model simulation_icsAgama_massRatio0.500_orbitAngle0.393_cP10.0_cS10.0_pP0.5_qP0.5_pS0.5_qS0.4
Merging triaxial halos (simulation_icsAgama_massRatio0.100_orbitAngle0.000_cP10.0_cS10.0_pP0.8_qP0.7_pS0.5_qS0.4)
Gadget-format simulation data for a simulation of a merging pair of halos from the paper by Menker & Benson (2022; https://arxiv.org/abs/2205.02955), for model simulation_icsAgama_massRatio0.100_orbitAngle0.000_cP10.0_cS10.0_pP0.8_qP0.7_pS0.5_qS0.4
Merging triaxial halos (simulation_icsAgama_massRatio0.100_orbitAngle0.000_cP10.0_cS10.0_pP0.7_qP0.7_pS0.5_qS0.5)
Gadget-format simulation data for a simulation of a merging pair of halos from the paper by Menker & Benson (2022; https://arxiv.org/abs/2205.02955), for model simulation_icsAgama_massRatio0.100_orbitAngle0.000_cP10.0_cS10.0_pP0.7_qP0.7_pS0.5_qS0.5
Merging triaxial halos (simulation_icsAgama_massRatio0.100_orbitAngle0.785_cP10.0_cS10.0_pP1.0_qP1.0_pS1.0_qS1.0)
Gadget-format simulation data for a simulation of a merging pair of halos from the paper by Menker & Benson (2022; https://arxiv.org/abs/2205.02955), for model simulation_icsAgama_massRatio0.100_orbitAngle0.785_cP10.0_cS10.0_pP1.0_qP1.0_pS1.0_qS1.0
Merging triaxial halos (simulation_icsAgama_massRatio0.300_orbitAngle0.000_cP10.0_cS10.0_pP1.0_qP1.0_pS1.0_qS1.0)
Gadget-format simulation data for a simulation of a merging pair of halos from the paper by Menker & Benson (2022; https://arxiv.org/abs/2205.02955), for model simulation_icsAgama_massRatio0.300_orbitAngle0.000_cP10.0_cS10.0_pP1.0_qP1.0_pS1.0_qS1.0
Deep learning insights into non-universality in the halo mass function
<p>Data used in paper <em>Deep learning insights into non-universality in the halo mass function</em> (DOI: <a href="https://doi.org/10.1093/mnras/stae1696">doi.org/10.1093/mnras/stae1696</a>).</p> <p><code>Model_outputs.zip</code> contains the saved latents, predictions, ground truths, and the relevant cosmological quantities used in the analysis (see <code>Model_outputs_readme.md</code>).</p> <p><code>Trained_model.zip</code> has the trained baseline IVE model. It contains the saved model weights and code needed to build and load the model weights, as well as the test dataset (see <code>Trained_model_readme.md</code>).</p>
Importance of Initial Condition on Bar Secular Evolution: Role of Halo Angular Momentum Discontinuity|Simulation Data
<p>This data includes the key snapshots of the simulations in GADGET-2 format. The folders, namely D0, D1, D2, and D3, correspond to the four galaxy models used in this study. The snapshots are printed from time=0 Gyr to 10Gyr in a timestep of 2 Gyr.</p>
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OpenNeuro
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