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98 results for “exoplanets”
Reproduction package for the paper "Expanding the inventory of spectral lines used to trace atmospheric escape in exoplanets"
<p>This is a basic reproduction package for the paper "Expanding the inventory of spectral lines used to trace atmospheric escape in exoplanets" by Linssen & Oklopčić (2023). It provides the full transmission spectra of all simulations presented in the paper, as well as the data products necessary to reproduce the figures of the paper.</p>
Supporting data for: An exomoon survey of 70 cool giant exoplanets Kipping et al. (2021)
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Eccentric orbits may enhance the habitability of Earth-like exoplanets
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Photochemical model output data associated with: How to identify exoplanet surfaces using atmospheric trace species in hydrogen-dominated atmospheres
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Peerless results: The population of long-period transiting exoplanets
<p>The results from the submitted paper: "The population of long-period transiting exoplanets" by Foreman-Mackey et al. (2016)</p>
The Demographics of Giant Exoplanets and Brown Dwarfs in Wide Stellar Binaries
<p>While numerous exoplanets have now been uncovered in stellar binaries, the impact of companion stars on planet formation and evolution is still not understood. In this talk, I will present results of population trends seen among the known sample of planets in wide multiple star systems, which allows us to investigate the effects of stellar binarity on the resulting planetary architectures. In particular, observations of stars hosting close-in giant planets and brown dwarfs find an excess of binary companions on few hundred AU separations, and different planet demographics for these systems, suggesting that such binaries may provide favourable conditions for the formation of the observed inner companions. I will show results from simulations of self-gravitating protoplanetary disks adapted to binary-star environments, which show that certain binary configurations may trigger gravitational fragmentation and lead to the formation of giant planets in otherwise-stable disks.</p>
Data for "CO2 ocean bistability on terrestrial exoplanets"
<p>Data for reproducing the plots in "CO2 ocean bistability on terrestrial exoplanets," currently (as of 05/13/2022) under review at AGU Advances</p>
The Impending Opacity Challenge in Exoplanet Atmospheric Characterization
<p>Cross-section required for running retrieval with https://github.com/disruptiveplanets/tierra.</p> <p>These cross-sections were generated using https://github.com/disruptiveplanets/TierraCrossSection</p> <p> </p> <p> </p>
Essential statistics for exoplanets
<p>Recording of the presentation given at the Summer School</p>
Exoplanets Observing Methods I: Astrometry
<p>Recording of the presentation given at the Summer School</p>
Products for "Hydrogen sulfide and metal-enriched atmosphere for a Jupiter-mass exoplanet"
<p>Data and model for JWST transit observation of HD 189733b using NIRCam (GO 1633, PI: Drake Deming) from paper "Hydrogen sulfide and metal-enriched<br>atmosphere for a Jupiter-mass exoplanet" (Fu et al. 2024).</p>
Data for the paper "Longitudinal Filtering, Sponge Layers, and Equatorial Jet Formation in a General Circulation Model of Gaseous Exoplanets"
<p>GCM data for the paper "Longitudinal Filtering, Sponge Layers, and Equatorial Jet Formation in a General Circulation Model of Gaseous Exoplanets" published in Monthly Notices of the Royal Astronomical Society. Data are in the pp format used by the Met Office Unified Model GCM and can be loaded using the Iris python package.<br><br>The individual files correspond to simulations done in the following parts of the paper<br><br>eta75_study.tgz - Simulations from Section 3.1.1 investigating changing the value of t_K with eta_s=0.75<br>Keff_flat.tgz - The simulation with a flattened Keff, as outlined in Section 3.1.2<br>eta9_study.tgz - Simulations from Section 3.2 investigating increasing eta_s to 0.9<br>resolution_study.tgz - The simulations from the resolution study found in Appendix B.</p>
Accompanying Files for "M/K-Dwarf Exoplanets With Similar Sizes and Instellations to Earth Typically Follow Near-Circular Orbits"
<p>=== gammaposteriors.tar.gz ===</p> <p>Each file (in the tarball) is named after the corresponding planetary object. The file contains samples drawn from the a-posteriori distribution of rho_{*,transit}/rho_{*,independent}. This ratio is referred to as gamma in the paper.</p> <p>=== stellarposteriors.tar.gz ===</p> <p>Each file contains the joint posterior distribution for the fundamental stellar parameters. The columns are:</p> <p>Mass (Solar masses), Radius (Solar radii), Density (kg/m^3)</p> <p>=== transittimes.tar.gz ===</p> <p>A pair of files are produced for each KOI/TOI, named appropriately. The pdf figure is a summary figure showing the TTV data with errors (black), along with the best fitting sinusoidal model in brown. We also report the FAP (false alarm probability) of that signal, the associated TTV period and amplitude as annotations on the figure. We also provide the actual transit times for each epoch, in the files *times.dat, using the columns...</p> <p>Epoch, Transit Time (BJD_UTC - 2,457,000), Error, TTV (mins), Error (mins)</p> <p>=== lightcurves.tar.gz ===</p> <p>Each file contains a detrended light curve, detrended using the method marginalisation process described in the paper. The columns are:</p> <p>Time (BJD_UTC - 2,400,000*)<br>Relative Intensity<br>Uncertainty</p> <p>For the TOIs, we include a fourth column which is the CROWDSAP value.</p> <p>* For TOIs, this becomes 2,457,000</p> <p>=== hbms -> *.tar.gz ===</p> <p>Each tarball contains samples drawn from the a-posteriori joint distribution of the Hierarchical Bayesian Model (HBM) fits. Each tarball is a distinct model, and thus HBM:</p> <p>exp.tar.gz - exponential distribution<br>beta.tar.gz - Beta distribution<br>rayleigh.tar.gz - Rayleigh distribution<br>tremaine.tar.gz - Tremaine distribution<br>exp_without4087.tar.gz - exponential distribution excluding KOI-4087.01<br>beta_without4087.tar.gz - Beta distribution excluding KOI-4087.01<br>exp_without4087_fake_0p0.tar.gz - exponential distribution excluding KOI-4087.01, but applied to fake data where e=0.0</p> <p>There are two types of files in each container.</p> <p>popchain_*.dat contains posterior samples of the population/hyper-parameters.<br>hkplate_*.dat contains posterior samples of the population/hyper-parameters.</p> <p>There are 20 walkers for each file type, labelled 1-20 at the suffix of the file. The columns in each file are organised as follows...</p> <p>popchain_exp*.dat<br>mu_e, var_e, loglike<br>popchain_rayl*.dat<br>mu_e, var_e, loglike<br>popchain_trem*.dat<br>mu_e, var_e, loglike<br>popchain_beta*.dat<br>mu_e, var_e, alpha, beta, loglike</p> <p>hkplatechain_*.dat<br>h'_1, k'_1, h'_2, k'_2,...</p>
Spectrally resolved helium absorption from the extended atmosphere of a warm Neptune exoplanet
<p>Stellar heating causes atmospheres of close-in exoplanets to expand and escape. These extended atmospheres are difficult to observe because their main spectral signature – neutral hydrogen at ultraviolet wavelengths – is strongly absorbed by interstellar medium. We report the detection of the near-infrared triplet of neutral helium in the transiting warm Neptune-mass exoplanet HAT-P-11b using ground-based, high-resolution observations. The helium feature is repeatable over two independent transits, with an average absorption depth of 1.08±0.05%. Interpreting absorption spectra with 3D simulations of the planet’s upper atmosphere suggests it extends beyond 5 planetary radii, with a large scale height and a helium mass loss rate ≲ 3x10<sup>5</sup> g‧s<sup>−1</sup>. A net blueshift of the absorption might be explained by high-altitude winds flowing at 3 km‧s<sup>−1</sup>from day to night-side.</p>
Excel sheet Overview Exoplanets plus Solar system from NASA
<p> <strong>This Excel sheet is produced based on the data from the NASA Exoplanet Archive. It is Reference [14] in Seeking Evidence for the Cosmic Influx Theory (CIT) Collaborating with ChatGPT <a href="../records/12683899">https://zenodo.org/records/12683899</a> </strong> <br><br>You find the calculations for the Preferred Distances of star systems in column N from cell 7 down. The largest planets are likely found at that preferred distance, based on NASA data. Open the Excel sheet and scroll down to row 195 to view the original data from NASA.<br><a href="http://exoplanetarchive.ipac.caltech.edu">http://exoplanetarchive.ipac.caltech.edu</a> </p> <p>In <em>'Seeking Evidence for the Cosmic Influx Theory (CIT)</em> <em>Unveiling a Universal Ether-like Energy Field spanning the vast scales of exoplanets down to the minute details of dew and rime)</em>', we find surprising confirmations from ChatGPT that many natural phenomena exemplify an influx of energy, converting the Big Bang (BB) concept into Continuous Creation (CC) This perspective represents a significant shift in how we view familiar phenomena—from rain to stardust, and from volcanoes to the spreading ocean floor.<br>Citation: Loeffen, R. (2024). Seeking Evidence for the Cosmic Influx Theory (CIT) Collaborating with ChatGPT<br><a href="../records/12683899">https://zenodo.org/records/12683899</a> </p>
Statistical trends in JWST transiting exoplanet atmospheres
<p>Spectra shown in Figure 1</p> <p>Columns are: Wavelength(micron), Wavelength err(micron), Transit Depth, Transit Depth err</p>
Impact of oxygen fugacity on the atmospheric structure and emission spectra of ultra-hot rocky exoplanets
<p>Data and simulation results for the paper "Impact of oxygen fugacity on the atmospheric structure and spectra of ultra-hot rocky exoplanets", Seidler et al. 2024, A&A. This project contains the HELIOS output files, some auxillary information as well as the python scripts used to generate the figures.</p>
Data Behind the Figures: No Thick Atmosphere on the Terrestrial Exoplanet Gl 486b
<p>This repository includes all the data to create the figures in "No Thick Atmosphere on the Terrestrial Exoplanet Gl 486b" by Megan Weiner Mansfield et al. (2024).</p>
Data for "Nonlinear and non-monotonic effect of ocean tidal mixing on exoplanet climates and habitability"
<p>Dataset analysed in order to obtain the results published in "Nonlinear and non-monotonic effect of ocean tidal mixing on exoplanet climates and habitability":</p> <ul> <li>IGCM_data: atmospheric data obtained by using the flux programme on the outcome of the standard FORTE2.0 climate simulations (instellation = 1.00 insolation)</li> <li>MOMA_standard_runs: oceaninc data of the standard FORTE2.0 climate simulations (instellation = 1.00 insolation)</li> <li>MOMA_reduced_runs: oceaninc data of the reduced FORTE2.0 climate simulations (instellation = 0.90, 0.85, 0.80 insolation)</li> </ul> <p>The FORTE2.0 code, compilation instructions and example run scripts, together with all necessary ancillary files, are accessible at <a href="https://doi.org/10.5281/zenodo.4108373">doi.org/10.5281/zenodo.4108373</a> (<a href="https://gmd.copernicus.org/articles/14/275/2021/#bib1.bibx6">Blaker et al.</a>, <a href="https://gmd.copernicus.org/articles/14/275/2021/#bib1.bibx6">2020</a>). </p>
ELemental abundances of Planets and brown dwarfs Imaged around Stars (ELPIS): I. Potential Metal Enrichment of the Exoplanet AF Lep b and a Novel Retrieval Approach for Cloudy Self-luminous Atmospheres
<p>This dataset contains materials presented in the paper ``ELemental abundances of Planets and brown dwarfs Imaged around Stars (ELPIS): I. Potential Metal Enrichment of the Exoplanet AF Lep b and a Novel Retrieval Approach for Cloudy Self-luminous Atmospheres'' (Zhang et al. 2023) for publication by Astronomical Journal. Please cite this paper and the Zenodo repository if these data are used in your work.</p> <p>A readme file <strong>README_ELPIS_AFLep.dat</strong> describes the content of the entire dataset. Description of other files:</p> <ul> <li><strong>tull_spectrum_AF_Lep_A.zip</strong>: Tull spectrum of the host star AF Lep A (Section 2)</li> <li><strong>stellar_parameters_AF_Lep_A.zip</strong>: Stellar parameters of AF Lep A inferred by isochrones (Section 3)</li> <li><strong>orbit_analysis_AF_Lep_b.zip</strong>: Orbit analysis of the exoplanet AF Lep b (Section 4)</li> <li><strong>RCE_dlnT_dlnP_forward_models.zip</strong>: The radiave-convective equilibrium (dlnT/dlnP) profiles of several sets of forward models (shown in Figure 5 and Section 6.2)</li> <li><strong>mini_grid_emission_spectra.zip</strong>: A mini-grid of modeled emission spectroscopy (Figure 6 and Section 6.4)</li> <li><strong>fitted_TP_profiles.zip</strong>: Fitted T-P profiles from multiple retrieval runs (Section 7)</li> <li><strong>fitted_model_spectra.zip</strong>: Fitted model spectra from multiple retrieval runs (Section 7)</li> <li><strong>retrieval_parameter_posteriors.zip</strong>: Parameter posteriors from multiple retrieval runs (Section 7).</li> </ul>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
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.