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978 results for “instabilities”
Polluting the pair-instability mass gap for binary black holes through super-Eddington accretion in isolated binaries
<p>These are the results from:</p> <p>"Polluting the pair-instability mass gap for binary black holes through super-Eddington accretion in isolated binaries"<br> Authors: L.A.C. van Son, S. E. de Mink, F. S. Broekgaarden, M. Renzo, S. Justham, E. Laplace, J. Moran-Fraile, D. D. Hendriks, and R. Farmer</p> <p>ADS: https://ui.adsabs.harvard.edu/abs/2020arXiv200405187V/abstract<br> arXiv: https://arxiv.org/abs/2004.05187</p> <p>If you use (part of) these results in a scientific publication, we would greatly appreciate it if you would cite the source paper.</p> <p>This work uses <a href="https://compas.science/">COMPAS</a> to compute binary population properties (<a href="http://https://github.com/TeamCOMPAS/COMPAS/tree/master/docs">https://github.com/TeamCOMPAS/COMPAS/tree/master/docs</a>).</p> <p>*****************************</p> <p>For each of our 4 model variations (0. Fiducial, 1. Stable accretion, 2. Common envelope accretion and 3. Combined) we provide 2 files:</p> <p>1.) pythonSubmit.py file describing the initial conditions that were used to run the simulations</p> <p>2.) COMPASOutput.h5 file, which contains the following datasets resulting from our simulations :<br> ['systems',<br> 'doubleCompactObjects',<br> 'commonEnvelopes',<br> ]</p> <p>Detailed descriptions of these groups can be found in the accompanying README file.</p>
Animations: Turbulence sets the length scale for planetesimal formation:Local 2D simulations of streaming instability and planetesimal formation
<p>This repository includes three animations discussed in the accepted version of ''Turbulence sets the length scale for planetesimal formation:Local 2D simulations of streaming instability and planetesimal formation" to appear in the Astrophysical Journal. </p> <p>Short descriptions of the animations are as follows:</p> <p>Movie 1: Simulations Ae3L0005 and Ae3L0005. Both use $\St= 0.1$ particles, but only the larger box shows collapse and planetesimal formation. See also: <a href="https://youtu.be/gkHiluqH8HY">https://youtu.be/gkHiluqH8HY</a> </p> <p>Movie 2: The evolution of $\St= 0.1$ pebbles for all 6 different box sizes in Table 1. See also: <a href="https://youtu.be/nA87-9_trUc">https://youtu.be/nA87-9_trUc</a></p> <p>Movie 3: The evolution of $\St= 0.01$ pebbles. See also: <a href="https://youtu.be/CCywDPKVU8w">https://youtu.be/CCywDPKVU8w</a></p>
Observation and modeling of high-7Be events in Northern Europe associated with the instability of the Arctic polar vortex in early 2003
<p>Data repository for paper: "Observation and modeling of high-7Be events in Northern Europe associated with the instability of the Arctic polar vortex in early 2003"</p> <p>Erika Brattich; Hongyu Liu; Bo Zhang; Miguel Angel Hernandez-Ceballos; Jussi Paatero; Darko Sarvan; Vladimir Djurdjevic; Laura Tositti; Jelena Ajtić, submitted to Atmospheric Chemistry and Physics, October 2020</p> <p>Created by Erika Brattich (erika.brattich@unibo.it), October 2020</p> <p>-> Data</p> <p>- Pb210_2sites.csv contains daily 210Pb observations at Helsinki and Sodankyla in the period January-March 2003. Dates are in "m/d/yyyy" format and 210Pb measurements are in µBq/m³.</p> <p>Please refer to Mattson et al. (1996) for details.</p> <p>-> Model output</p> <p>- trac_avg.merra2_2x25_RnPbBe.200301-200303-monthly-means.bpch.gz: contains model output of monthly mean 210Pb and 7Be concentrations for January, February, and March 2003.</p> <p>- ts_1h.200301.bpch.tar: hourly model output for January 2003</p> <p>- ts_1h.200302.bpch.tar: hourly model output for February 2003</p> <p>- ts_1h.200303.bpch.tar: hourly model output for March 2003</p> <p>- diaginfo.dat, tracerinfo.dat: information data files needed for the GAMAP package (in IDL) used to read and process the model output. GAMAP is publicly available at: <a href="http://acmg.seas.harvard.edu/gamap/">http://acmg.seas.harvard.edu/gamap/</a> </p> <p>References:</p> <p>Mattsson, R., Paatero, J., and Hatakka, J.: Automatic Alpha/Beta Analyser for Air Filter Samples - Absolute Determination of Radon Progeny by Pseudo-coincidence Techniques, Radiat. Prot. Dosim., 63, 133-139, doi:10.1093/oxfordjournals.rpd.a031520, 1996.</p> <p> </p> <p> </p>
NIMROD growth rates (1/s) by finite element poly_degree (columns) and case from "The Impact of Collisionality, FLR and Parallel Closure Effects on Instabilities in the Tomakak Pedestal: Numerical Studies with the NIMROD code”
<p>NIMROD growth rates (1/s) by finite element poly_degree (columns) and case from "The Impact of Collisionality, FLR and Parallel Closure Effects on Instabilities in the Tomakak Pedestal: Numerical Studies with the NIMROD code” as submitted to Physics of Plasmas</p>
Sausage Instabilities on Top of Kinking Lengthening Current-Carrying Magnetic Flux Tubes - Data underlying figures 3 & 4
<p><strong>Background</strong></p> <p>This is the code used in the analysis and to generate all plots of the paper "Sausage Instabilities on Top of Kinking Lengthening Current-Carrying Magnetic Flux Tubes".</p> <p>Flux tube experiments can be classified by the flux tube’s evolution in a configuration space described by a normalized inverse aspect-ratio k̄ and current-to-magnetic flux ratio λ̄. A lengthening current-carrying magnetic flux tube traverses this k̄ - λ̄ space and crosses stability boundaries. We derive a single general criterion for the onset of the sausage and kink instabilities in idealized magnetic flux tubes with core and skin currents. The criterion indicates a dependence of the stability boundaries on current<br> profiles and shows overlapping kink and sausage unstable regions in the k̄ - λ̄ space with two free parameters. Numerical investigation of the stability criterion reduces the number of free parameters to a single one that describes the current profile, and confirms the overlapping sausage and kink unstable regions in k̄ - λ̄ space. A lengthening, ideal current-carrying magnetic flux tube can therefore become sausage unstable after it becomes kink unstable.</p> <p><strong>Accesing Data</strong></p> <p>This data set contains:</p> <ol> <li>SQL database: output.db</li> <li>Human readable database in JSON format: output.txt</li> <li>Data arrays: 3 dated .npz files</li> <li>Human readable data arrays: 8 .dat files.</li> </ol> <p>The database files list all parameters of a run of the analysis code. The date identifies the run. The SQL database can be inspected with e.g. Firefox's SQLite Manager extension. The contents of the human redable output.txt file are identical.</p> <p>The data arrays include the k̄ meshes and λ̄ meshes which define the coordiante system and arrays of normalized <span class="math-tex">\(\delta W\)</span> for kink and susage modes.</p> <p>Each .npz file contains arrays defining the k̄ - λ̄ space and the stability calculation results.</p> <p>Each .npz file is an array file generated with python numpy.savez(). It can be opened with:</p> <p><em>import numpy as np</em></p> <p><em>data = np.load('meshes.npz')</em></p> <p>The data is an python dictionary. The dictionary keys can be displayed with:</p> <p><em>print data.keys()</em></p> <p>The numpy arrays can be accessed by keyname:</p> <p><em>print data['keyname']</em></p> <p>The keys are:</p> <p><em>k_a_mesh</em>: 2D array of k̄ values.</p> <p><em>lambda_a_mesh</em>: 2D array of λ̄ values.</p> <p><em>d_w_raw_m_0</em>: 2D array of perturbed potential energy for m=0 sausage pertubations.</p> <p><em>d_w_raw_m_neg_1</em>: 2D array of perturbed potential energy for m=-1 kink pertubations.</p> <p><em>d_w_m_0</em>: 2D array of normalized perturbed potential energy for m=0 sausage pertubations.</p> <p><em>d_w_m_neg_1</em>: 2D array of normalized perturbed potential energy for m=-1 kink pertubations.</p> <p><em>delta_m_0</em>: 2D array of delta for m=0 sausage pertubations plugged into minimized perturbed potential energy equations to calculate dw values.</p> <p><em>delta_m_neg_1</em>: 2D array of delta for m=-1 kink pertubations plugged into minimized perturbed potential energy equations to calculate dw values.</p> <p><em>external_m_neg_1</em>: 2D bool array of stability against external m=-1 kink pertubations. X</p> <p><em>suydam_m_neg_1</em>: 2D bool array of stability against suydam instabilities. </p> <p><em>external_m_0</em>: 2D bool array of stability against external m=0 sausage pertubations. </p> <p><em>suydam_m_0</em>: 2D bool array of stability against suydam instabilities. Since m=0 has no singularties in the Euler-Lagrange equation this should be true everywhere. </p> <p> </p>
Turbulence in Simulated Tropical Instability Wave
This dataset consists of fields output from a 1/20° regional simulation of the Tropical Pacific ocean. The data are hourly averaged and cover the time period of a single Tropical Instability Wave. Data are extracted at a central longitude of 110°W and one grid point to the east and west of that longitude. The fields describe the modulation of ocean mixing by the Tropical Instability Wave.
Negative Differential Resistance, Instability, and Critical Transition in Lightning Leader
<p>There is a challenging issue of die out and restrike of leaders in a burst of lightning event, such as multiplicity of strokes in grounded flash or recoil leader in cloud flash, although the argument involves the effects of channel characteristic of negative differential resistance instability, there is internal consistency about the instability, the bi-stability of insulation and induction and their critical transition from the view of bifurcation theory of nonlinear dynamics. In this paper, we examined the differential resistance characteristics of the leader-streams lighting system, we associate the leader-streamer channel differential resistance characteristics and sign change with channel state and instability transitions. The critical current and potential difference conditions for the stable transition of the leader-streamer channel are investigated. It is found that the necessary current required for the stable development of the channel is increased with the length of the leader channel, while the internal channel electric field of the leader decreases accordingly.</p>
Single-cell mouse and PC9 data for "TP53 loss with whole genome doubling mediates heterogeneous intra-patient therapy response through Chromosomal Instability"
<p>This repository includes the processed data (including copy number profiles and related analysis) for the E/EP mouse tumors and for the PC9 resistance cell lines for all the analyses of the manuscript "TP53 loss with whole genome doubling mediates heterogeneous intra-patient therapy response through Chromosomal Instability".</p><p>The code for the related analyses is available in GitHub at https://github.com/zaccaria-lab/TP53loss_WGD</p>
Data from: A new trophic specialization buffers a top predator against climate-driven resource instability
<p>Intraspecific phenotypic variability is key to respond to environmental changes and anomalies. However, documenting the emergence of behavioral diversification in natural populations has remained elusive due to the difficulty of observing such phenomenon at the right time and place. Here, we investigated how the emergence of a new trophic strategy in a population subjected to high fluctuations in the availability of its main trophic resource (migrating songbirds) affected the breeding performance, population structure, and population fitness of a specialized color polymorphic predator, the Eleonora's falcon from the Canary Islands. Using long-term data (2007-2022), we found that the exploitation of an alternative prey (a local petrel species) was associated with the growth of a previously residual falcon colony. Pairs in this colony laid earlier and raised more fledglings than in the other established colonies. The specialization on petreles increased over time, independently of annual fluctuations in prey availability. Importantly, however, the positive effect of petrel consumption on productivity was stronger in years with lower food availability. This trophic diversification was further associated with the genetically-determined color morph, with dark individuals preying more frequently on petreles than pale ones, which might promote the long-term maintenance of genotypic and phenotypic diversity. We empirically demonstrate how the emergence of an alternative trophic strategy can buffer populations against harsh environmental fluctuations by stabilizing their productivity.</p>
Data and code for "Carbon cycle instability for high-CO2 exoplanets: implications for habitability"
<p>Data supporting "Carbon cycle instability for high-CO2 exoplanets: implications for habitability," Graham and Pierrehumbert, 2024, <em>Astrophysical Journal </em>(under review at time of upload)</p> <ul> <li>Global climate model (GCM) simulation output necessary to reproduce figures in paper. Netcdf (.nc) format. <ul> <li>For simulations receiving instellation of 1250 W m-2, the format is atmos_monthly_[co2 mixing ratio]ppmv_S1250.nc</li> <li>For other simulations, the format is: atmos_monthly_[co2 partial pressure]bar_S[675, 750, 800, or 1000].nc</li> </ul> </li> <li>Continental configuration land mask used in GCM simulations. Netcdf (.nc) format. <ul> <li>land.nc</li> </ul> </li> <li>Python scripts to<br> <ul> <li>post-process climate simulation data to calculate global weathering rates according to WHAK or MAC weathering <ul> <li>isca_weathering_calc.py</li> </ul> </li> <li>reproduce all model-based figures <ul> <li>figures 1-8: isca_plot_maker.py</li> <li>figure 9: isca_weathering_calc.py</li> </ul> </li> </ul> </li> </ul>
The spreading of magnetic reconnection X-line in particle-in-cell simulations– mechanism and the effect of drift-kink instability
<p>This dataset contains data and Python scripts in "The spreading of magnetic reconnection X-line in particle-in-cell simulations– mechanism and the effect of drift-kink instability" prepared to submit to the Journal of Geophysical Research. </p>
Avoiding high frequency thermoacoustic instabilities in cyrogenic rocket engines using Bayesian deep learning
<p>Destructive high-frequency thermoacoustic instabilities have afflicted liquid propellant rocket engine development for decades. The 90 MW cryogenic liquid oxygen/hydrogen multi-injector research combustor BKD operated by DLR Lampoldshausen is a platform that allows their study under realistic conditions. In this study, we use data from BKD experimental campaigns where the static chamber pressure and reactor-oxidizer ratio were varied such that the first tangential mode of the combustor is excited under some conditions. We train a Bayesian neural network to predict the occurence probability of thermoacoustic instabilities 500 ms in the future, given the power spectra of the most recent 300 ms sample of the dynamic pressure data and mass flowrate control signals as input. The Bayesian nature of our algorithms allow us to work in this "small data" setting where the size of our dataset is restricted by the effort and expense associated with each experimental run, without making overconfident extrapolations. We find that the network is able to accurately forecast the occurence probability of instabilities on unseen experimental runs. We envision that these algorithms will eventually be used online by rocket engine controllers to avoid regions of thermoacoustic instabilities.</p> <p> </p>
Data for "Symmetric instability in the Atlantic Meridional Overturning Circulation"
<p>Data for the DPhil thesis "Symmetric instability in the Atlantic Meridional Overturning Circulation".</p>
Supplementary datasets and code for: Instability and mesoscale eddy fluxes in an idealized 3-layer Beaufort Gyre
<p>This dataset contains the configuration files and scripts used to initialise the Aronnax simulations described in the manuscript; processed output from the simulations; and code used for the linear stability analysis. </p>
Cycles in hydrologic intensification and de-intensification create instabilities in spring nitrate-N export C-Q behavior in northern temperate forests
<p>Data supporting analysis in "Cycles in hydrologic intensification and de-intensification create instabilities in spring nitrate-N export C-Q behavior in northern temperate forests".</p> <p>The worksheet "daily SWE" contains modeled daily snow water equivalent (SWE; mm) at Turkey Lakes Watershed. Daily values were modeled using a snow accumulation and melt routine within a hydrologic model that used measured precipitation and snow survey data as input and was calibrated to daily discharge measurements at a reference catchment. </p> <p>For use of SWE data, please cite:<br>Leach, J. A., Buttle, J. M., Webster, K. L., Hazlett, P. W., & Jeffries, D. S. (2020). Travel times for snowmelt-dominated headwater catchments: influences of wetlands and forest harvesting, and linkages to stream water quality. Hydrological Processes, 34(10), 2154-2175. https://doi.org/10.1002/hyp.13746</p> <p>The worksheet "monthly T, P, PET" contains monthly mean temperature (°C), monthly total precipitation (mm), and monthly Hamon potential evapotranspiration (PET; mm) from measurements made at the Algoma CAPMoN (Canadian Air and Precipitation Monitoring Network) meteorological station (47°02′N, 84°22′W, 411 m.a.s.l.).</p> <p>For use of these climate data, please cite:<br>Semkin, R. G., Jeffries, D. S., Neureuther, R., Lahaie, G., McAulay, M., Norouzian, F., & Franklyn, J. (2012). Summary of hydrological and meteorological measurements in the Turkey Lakes Watershed, Algoma, Ontario, 1980-2010. Water Science and Technology Directorate Contribution No. 11-145. Environment Canada, National Water Research Institute, Burlington, ON, 85 p.</p>
On the Rayleigh–Kuo criterion for the tertiary instability of zonal flows
<p>These are the supplementary Matlab codes that can be used to generate the data in figure 3, 4, and 6 in the manuscript "On the Rayleigh--Kuo criterion for the tertiary instability of zonal flows". The abstract of this manuscript reads as follows:</p> <p>This paper reports the stability conditions for intense zonal flows (ZFs) and the growth rate $\gamma_{\rm TI}$ of the corresponding "tertiary" instability (TI) within the generalized Hasegawa--Mima plasma model. The analytic calculation extends and revises Kuo's analysis of the mathematically similar barotropic vorticity equation for incompressible neutral fluids on a rotating sphere [H.-L. Kuo, J. Meteor. 6, 105 (1949)]; then, the results are applied to the plasma case. An error in Kuo's original result is pointed out. An explicit analytic formula for $\gamma_{\rm TI}$ is derived and compared with numerical calculations. It is shown that a ZF is TI-unstable under the Rayleigh--Kuo criterion known from geophysics plus the condition that the ZF wave number must exceed the inverse ion sound radius. For a sinusoidal ZF, these two necessary conditions combined together are also sufficient for the TI. For non-sinusoidal ZFs, the results are qualitatively consistent. As a corollary, there is no TI in the geometrical-optics limit, i.e., when the DW wavelength is small compared to the ZF scale. This also means that the traditional wave kinetic equation under the geometrical-optics assumption cannot adequately describe the ZF stability.</p>
Data and code for figures in "Two-tone optomechanical instability and its fundamental implications for backaction-evading measurements"
<p>Here we prepare the data and process scripts to reconstruct figure 4 of the paper (Two-tone optomechanical instability and its fundamental implications for backaction-evading measurements). The folder contains several subfolders and files:</p> <p>“Raw data”: In this folder, you can find the raw data recorded by measurement devices during the experiment. It follows the hierarchical structure. We have three pairs of folders corresponding to three cooperativities (3.5, 7, 14). One folder of each pair contains raw data files in text format (.dat) and the other one contains plots and a Numpy dictionary of the extracted parameter for each cooperativity (superdict.npy). If you need to redo the extraction process from the raw data you can simply run “181031_CXX_Final_NOQT_BAE_2D_post_processeing.py” (XX: 3.5 or 7 or 14) python code to rewrite superdict.npy files and replot all plots in the Raw data folder.<br> “NRBcodes”: A side package for the circle fit (Lorentzian fitting) in the complex plane.<br> “Dicts”: A folder containing Numpy dictionaries needed for the final plot. “superdictXX.npy” are copies of Numpy dictionaries in the Raw data folder. “powers_XX.npy” and “Ds_nor_XX.npy” are Numpy dictionaries needed for the theory plots. You can reproduce them by the uncommenting first part of the “Final_plot.py” and correcting the corresponding cooperativity.<br> “getdata.py” and “postprocessing_libs.py”: Side packages help to read the raw data files.<br> <br> All post-processes are done on the raw data and you just need to run the “Final_plot.py” to reproduce the plot. If you want to access the post-processed data you can simply read “superdictXX.npy” in the Dicts folder. <br> Please do not hesitate to contact us in case of any questions. <br> amir.youssefi@epfl.ch</p>
Simulated data from "Gravitational instability in a planet-forming disk"
<h2>Repository Contents</h2> <blockquote> <p><strong>Simulated data from:</strong> Speedie et al. (2024)<br>"Gravitational instability in a planet-forming disk", J. Speedie, R. Dong, C. Hall, C. Longarini, B. Veronesi, T. Paneque-Carreño, G. Lodato, Y. Tang, R. Teague, & J. Hashimoto, <a href="https://www.nature.com/articles/s41586-024-07877-0"><em>Nature</em></a>, (2024).</p> <p><strong>Paper DOI:</strong> <a href="https://doi.org/10.1038/s41586-024-07877-0">https://doi.org/10.1038/s41586-024-07877-0</a></p> </blockquote> <p>This repository contains synthetic ALMA 13CO (J=2-1) image cubes and moment maps generated from 3D smoothed-particle hydrodynamic (SPH) simulations of a gravitationally unstable disk and a Keplerian counterpart. The following products are available:</p> <ul> <li>PHANTOM products</li> <li>MCFOST products</li> <li>Synthetic ALMA image cubes & moment maps</li> </ul> <p>The README provides a more detailed description. In the article, these synthetic data were compared with observed ALMA 13CO (J=2-1) data of the AB Aurigae disk from program 2021.1.00690.S (PI: R. Dong). Those ALMA data can be found here: <a href="https://doi.org/10.11570/24.0087">https://doi.org/10.11570/24.0087</a></p>
Figure 3 in Systematics, variation, and developmental instability: analysis of spine patterns in ancestrulae of a common bryozoan
Figure 3. Seasonal trends in frequencies of 3:3:1 (black) and variant (grey) spine patterns for the first-generation ancestrulae over the course of the 7-week sampling period from 14 July to 25 August. The ratio of variants to 3:3:1 and % variants are included.
Figure 1 in Systematics, variation, and developmental instability: analysis of spine patterns in ancestrulae of a common bryozoan
Figure 1. (A) SEM of an ancestrula of Bugula stolonifera: this ancestrula has a spine pattern of 4:3:1 (see Figure 2); (B) diagram of the position of left and right distal margins and position of the proximal spine.
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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.