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43 results for “Symmetry Breaking”
Supplementary Data: Axion global fits with Peccei-Quinn symmetry breaking before inflation using GAMBIT
<p><strong>Description of Supplementary Data</strong></p> <p>This record contains the samples used to create the figures (excluding validation and prior dependence plots) and to derive most of the results in Hoof et al., <em>“Axion global fits with Peccei-Quinn symmetry breaking before inflation using GAMBIT”</em> (available on the <a href="https://arxiv.org/abs/1810.07192">arXiv</a>). Please contact the authors if you are interested in other samples, YAML files or plotting scripts.<br> <br> This record consists of</p> <ul> <li>21 <code>YAML</code> files (6 for <code>T-Walk</code>, 15 for <code>Diver</code>). Running <code>./gambit -f path/to/YAML/file.yaml</code> in the GAMBIT directory will start the scan. However, most users might want to adjust the output file name and directory as well as the settings for the samplers to their systems.</li> <li>21 <code>hdf5</code> files (6 for <code>T-Walk</code>, 15 for <code>Diver</code>). These files contain the actual samples and were compressed using the <code>tar</code> format.</li> <li>Two example <code>pip</code> files (<code>2_QCDAxion_10M1.pip</code> for <code>Diver</code> samples, <code>2_QCDAxion_3041.pip</code> for <code>T-Walk</code> samples) for producing plots from the corresponding <code>hdf5</code> files, using <a href="https://github.com/patscott/pippi"><code>pippi</code></a> and <code>functions.py</code>.</li> </ul> <p>The files follow the naming scheme <code>V_ModelName_[S][C][I][R][E]</code> plus one of the extensions <code>.yaml</code>, <code>.hdf5.tar.gz</code>, or <code>.pip</code>.</p> <ul> <li><code>V</code>: This internal version number can be ignored, but should be quoted when asking for help with the plotting scripts</li> <li><code>ModelName</code>: Corresponds to the axion models in the paper (<em>GeneralALP</em>, <em>QCDAxion</em>, <em>DFSZAxion_I</em>, <em>DFSZAxion_II</em>, <em>KSVZAxion</em>)</li> <li><code>S</code>: Scanner (<code>S=1</code>: <code>Diver</code>, <code>S=3</code>: <code>T-Walk</code>)</li> <li><code>C</code>: Switch to include (<code>C=1</code>) or exclude (<code>C=0</code>) the White Dwarf cooling hints</li> <li><code>I</code>: Setting for the initial misalignment angle <em>θ<sub>i</sub></em> (<code>I=4</code>: flat prior on <em>θ<sub>i</sub></em> with values in [-3.1415, 3.1415]). <code>I=M</code> is used to indicate that the file includes merged samples from other scans in addition to the corresponding <code>I=4</code> scan.</li> <li><code>R</code>: Setting for the DM relic density likelihood (<code>R=1</code>: upper limit, <code>R=2</code>: matching the DM density)</li> <li><code>E</code>: Extra digit for the anomaly ratio <em>E/N</em>; only for <em>KSVZAxion</em> models (<code>E=1</code>: 0, <code>E=2</code>, 2/3, <code>E=3</code>: 5/3, <code>E=4</code>: 8/3), <em>DFSZAxion-I</em> models (<code>E=1</code>: 8/3), <em>DFSZAxion-II</em> models (<code>E=2</code>: 2/3), or some <em>GeneralALP</em> files (<code>E=a</code>: “QCD-like setting” with <em>β</em> = 7.94, <em>T<sub>crit</sub></em> = 147 MeV; <code>E=b</code>: “Simple ALP-like setting” with <em>β</em> = 0, <em>T<sub>crit</sub></em> irrelevant)</li> </ul> <p>For convenience, we provide a mapping between the figures in the paper and the <code>hdf5</code> files:</p> <ul> <li>Fig. 1: none</li> <li>Figs 2 - 11: Validation plots</li> <li>Figs 12 + 13: 2_GeneralALP_10M2</li> <li>Fig. 14: 2_GeneralALP_10M2a, 2_GeneralALP_10M2b</li> <li>Fig. 15: 2_QCDAxion_10M1, 2_QCDAxion_10M2</li> <li>Fig. 16: 2_QCDAxion_3041, 2_QCDAxion_3042</li> <li>Figs 17 + 18: 2_QCDAxion_10M1, 2_QCDAxion_10M2, 2_QCDAxion_30M1, 2_QCDAxion_30M2</li> <li>Fig. 19: 3_KSVZAxion_10M11, 3_KSVZAxion_10M12, 3_KSVZAxion_10M13, 3_KSVZAxion_10M14, 3_DFSZAxion_I_10M11, 3_DFSZAxion_II_10M12</li> <li>Fig. 20: 2_QCDAxion_10M1, 3_KSVZAxion_10M11, 3_KSVZAxion_10M12, 3_KSVZAxion_10M13, 3_KSVZAxion_10M14, 3_DFSZAxion_I_10M11, 3_DFSZAxion_II_10M12</li> <li>Fig. 21: 2_QCDAxion_11M1, 2_QCDAxion_11M2</li> <li>Fig. 22: 2_QCDAxion_3141, 2_QCDAxion_3142</li> <li>Figs 23 + 24: 2_QCDAxion_3041, 2_QCDAxion_3042, 2_QCDAxion_3141, 2_QCDAxion_3142</li> <li>Fig. 25: 2_QCDAxion_3141, 2_QCDAxion_3142</li> <li>Fig. 26: 2_QCDAxion_11M1, 3_DFSZAxion_I_11M11, 3_DFSZAxion_II_11M12</li> <li>Fig. 27: 2_QCDAxion_3141, 3_DFSZAxion_I_31411, 3_DFSZAxion_II_31412</li> <li>Fig. 28: Validation plot</li> <li>Fig. 29: Prior dependence plot</li> </ul> <p>A few caveats to keep in mind:</p> <ul> <li>The YAML files are designed to work with <code>GAMBIT 1.3.1</code>, and the pip files are tested with <code>pippi 2.1</code>, commit 1a08644. They may or may not work with later versions of either software (these working versions/commits can always be obtained via the <code>git</code> history).</li> <li>The <code>pip</code> files will produce an approximately complete, but very basic version of plots in the paper. Re-creating all the plots in the paper requires various manual, undocumented interventions such as additions, deletions and combination of the plotting scripts created by <code>pippi</code>. Users wishing to reproduce the more advanced plots in the paper should contact the authors for tips, scripts, or experiment for themselves.</li> </ul>
Symmetry breaking in spin spirals and skyrmions by in-plane and canted magnetic fields
<p>The influence of in-plane and canted magnetic fields on spin spirals and skyrmions in atomic bilayer<br> islands of palladium and iron on an Ir(111) substrate is investigated by scanning tunneling microscopy<br> at low temperatures. It is shown that the spin spiral propagation direction is determined by the island’s<br> border which can be explained by equilibrium state calculations on a triangular lattice.Wefind a<br> different response of spin spirals to in-plane magnetic fields for a propagation direction parallel to the<br> applied field as compared to perpendicular, which originates from their cycloidal nature. As a result,<br> the spin spiral propagation direction may be reorientated by in-plane fields. Furthermore, it is<br> demonstrated that also skyrmions are distorted in canted fields which allows to determine the sense of<br> magnetization rotation as enforced by the interfacial Dzyaloshinskii–Moriya interaction.</p>
Data to generate the figures of: "Symmetry breaking of azimuthal waves: Slow-flow dynamics on the Bloch sphere"
<p>The folder contains the data and scripts to generate all the figures of the paper, with detailed instructions.</p> <p>No experimental data was used for this article.</p>
Microscopy and biophysical data for: Synthetic control of actin polymerization and symmetry breaking in active protocells
Open the record for dataset details and reuse information.
Dataset for: Synchrony and symmetry-breaking in active flagellar coordination
<p><strong>We upload video files accompanying the article <em>Synchrony and symmetry-breaking in active flagellar coordination</em> – all scalebars are 10 µm. Files are in uncompressed .avi format. </strong></p> <ol> <li>V1 – A quadriflagellate gait transition from a spinning gait to a trotting gait. </li> <li>V2 – A quadriflagellate symmetry breaking gait.</li> <li>V3 – Another quadriflagellate symmetry breaking gait. </li> <li>V4 – A quadriflagellate resetting its forward-swimming gait after a shock response.</li> <li>V5 – A quadriflagellate gait with two of four flagella active. </li> <li>V6 – A quadriflagellate being caught by micropipette aspiration.</li> <li>V7 – Demonstrating gait-mechanosensitivity in a micropipette-fixed quadriflagellate.</li> <li>V8 – The axial rotation of an octoflagellate during swimming.</li> <li>V9 – The rotary breaststroke of an octoflagellate during swimming.</li> <li>V10 – The octoflagellate search gait in which one flagellum is extended. </li> <li>SV1 – A quadriflagellate gait with 1 out of 4 flagella active.</li> <li>SV2 – A quadriflagellate gait with 2 out of 4 flagella active.</li> <li>SV3 – A quadriflagellate gait with 3 out of 4 flagella active.</li> <li>SV4 – A quadriflagellate gait with 4 out of 4 flagella active.</li> <li>SV5 – A quadriflagellate being caught by micropipette aspiration (top view).</li> <li>SV6 – An octoflagellate "phase slip".</li> <li>SV7 – Another example of the octoflagellate search gait (one flagellum is extended). </li> </ol>
Supplementary material to 'Exotic Symmetry Breaking Properties of Self-Dual Fracton Spin Models'
<p>I. GENERAL INFORMATION</p> <p>1. Title<br>Dataset of "Degeneracy and Scaling Properties of Self-Dual Fracton Spin Models"</p> <p>2. Author Information<br> <br>Giovanni Canossa [1,2], Lode Pollet [1,2], Miguel A. Martin-Delgado [3,4], Hao Song [5], and Ke Liu [1,2,6,7]<br>1. Arnold Sommerfeld Center for Theoretical Physics, University of Munich</p> <p>2. Munich Center for Quantum Science and Technology (MCQST)</p> <p>3. Departamento de Física Teórica, Universidad Complutense, 28040 Madrid, Spain</p> <p>4. CCS-Center for Computational Simulation, Universidad Politécnica de Madrid, Spain</p> <p>5. CAS Key Laboratory of Theoretical Physics, Institute of Theoretical Physics, Chinese Academy of Sciences, China</p> <p>6. Hefei National Research Center for Physical Sciences at the Microscale, University of technology of China</p> <p>7. Shanghai Research Center for Quantum Science and CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China</p> <p>Links to publications that cite or use the data:<br>TBA</p> <p>II. Files</p> <p>1. Convention</p> <p>Datas from the multicanonical MC simulations are stored in "Tetra-Ising" and "Fractal-Ising" folders.</p> <p>Lattice size: Each subfolder is named "L=value" where value denotes the linear system size.</p> <p>Multicanonical weights: Files "g_init_T=value.data" contains the set of log(weights) at a given temperature and lattice size, derived from the iterative weight-learning procedure.</p> <p>Datas: HDF5 files "name.out.h5" contain the results of the multicanonical MC simulation at a given lattice size.</p> <p><br>III. Data in HDF5 file</p> <p>1. Convention</p> <p>The results obtained at each temperature point is stored in a separate subdirectory of the .out.h5 file. Each of these subdirectories contains:</p> <p>Energy_Hist: normalized energy histograms obtained from the multicanonical MC simulation (unweighted)</p> <p>Energy_Hist_rw: normalized reweighted energy histograms. For each bin, Energy_Hist_rw[i] = Energy_Hist[i] * e**g[i] / norm, where norm = sum( Energy_Hist[i] * e**g[i] ).</p> <p>c: 1/norm. Gives an estimate of the ratio Z_muca/Z_ca.</p> <p>g: vector containing the weights used for the multicanonical MC simulation at that specific temperature. These are derived from reweighting the weights in "g_init_T=value.data" file.</p> <p>Energy, Energy_Susc, Energy_Kurt Q_x, Q_x_Susc, Q_x_Kurt: canonical expectation value of each relevant observables, along with their susceptibilities and Kurtosis, obtained by reweighting each measurement taken during the simulation by the appropriate weight. (NB: Energy and Q_x need to be multiplied by C in order to give the correct canonical expectation value.)</p> <p><br>2. Relevance</p> <p>These data reproduce Figs. 5 & 6 in the manuscript.</p> <p><br>III. Finite size scaling</p> <p>1. Convention</p> <p>All estimated transition temperatures with their respective uncertainties are stored in "fitting_Tetra" and "fitting_Fractal" folders in the fittemps.txt file.</p> <p>2. Relevance</p> <p>These data reproduce Figs. 3 & 4 in the manuscript.<br> </p> <p> </p>
Dataset for the manuscript "Observation of time-reversal symmetry breaking in the band structure of altermagnetic RuO2" in Science Advances Vol. 10, No. 5
<p>Dataset for publication "Observation of time-reversal symmetry breaking in the band structure of altermagnetic RuO2" in Science Advances Vol. 10, No. 5, https://doi.org/10.1126/sciadv.adj4883.</p> <p>The details corresponding to the dataset of the figures are given in a readme file in the corresponding folders.</p>
Ground-state structural disorder and excited-state symmetry breaking in a quadrupolar molecule
<p>The files contains all the data that are shown in the figures of the article:</p> <p>Soederberg, M.; Dereka, B.; Marrocchi, A.; Carlotti, B.; Vauthey, E. Ground-state Structural Disorder and Excited-state Symmetry Breaking in a Quadrupolar Molecule. J. Phys. Chem. Lett. 10 (2019), 10.1021/acs.jpclett.9b01024</p> <p> </p>
DNA sequences for: Synthetic control of actin polymerization and symmetry breaking in active protocells
<p>Non-linear biomolecular interactions on membranes drive membrane remodeling crucial for biological processes including chemotaxis, cytokinesis, and endocytosis. The complexity of biomolecular interactions, their redundancy, and the importance of spatiotemporal context in membrane organization impede understanding of the physical principles governing membrane mechanics. Developing a minimal in vitro system that mimics molecular signaling and mem- brane remodeling while maintaining physiological fidelity poses a significant challenge. Inspired by chemotaxis, we reconstructed chemically regulated actin polymerization inside vesicles, guiding membrane self-organization. An external, undirected chemical input induced directed actin polymerization and membrane deformation uncorrelated with upstream biochemical cues, suggesting symmetry breaking. A biophysical model incorporating actin dynamics and membrane mechanics proposes that uneven actin distributions cause non-linear membrane deformations, consistent with experimental findings. This protocellular system illuminates the interplay between actin dynamics and membrane shape during symmetry breaking, offering insights into chemotaxis and other cell biological processes.</p>
Data supporting the publication "Quadrature nonreciprocity in bosonic networks without breaking time-reversal symmetry"
<p>Data supporting the publication "Quadrature nonreciprocity in bosonic networks without breaking time-reversal symmetry"</p>
Dataset corresponding to "Heavy quasiparticles and cascades without symmetry breaking in twisted bilayer graphene"
<p>Data corresponding to the figures in the manuscript "Heavy quasiparticles and cascades without symmetry breaking in twisted bilayer graphene" published in Nature Communications (2023)</p>
DNA sequences for: Synthetic control of actin polymerization and symmetry breaking in active protocells
Open the record for dataset details and reuse information.
Source data for "Membrane curvature sensing and symmetry breaking of the M2 proton channel from Influenza A"
<p>Data files for Figures 2 and 3. </p>
Symmetry Enforced Fermi Surface Degeneracies Observed in Time-Reversal Symmetry-Breaking Superconductor LaNiGa2
<p>ARPES data for manuscript "Symmetry Enforced Fermi Surface Degeneracies Observed in Time-Reversal Symmetry-Breaking Superconductor LaNiGa2"</p>
Data and code for figures: Polychromatic Cherenkov radiation induced group velocity symmetry breaking in counterpropagating dissipative Kerr solitons
<p>This dataset contains the data presented in the Figures of the paper <Polychromatic Cherenkov radiation induced group velocity symmetry breaking in counterpropagating dissipative Kerr solitons>.</p>
Data to "Symmetry breaking and non-ergodicity in a driven-dissipative ensemble of multilevel atoms in a cavity"
<p>The zip files contains the tex file, figure, matlab files, and raw experimental and simulation data of the paper "Symmetry breaking and non-ergodicity in a driven-dissipative ensemble of multilevel atoms in a cavity"</p>
Publication data for "Symmetry breaking fluctuations split the porphyrin Q bands"
<p>This directory contains all files necessary to reproduce the data presented in "Symmetry breaking fluctuations split the porphyrin Q bands" by Z. R Wiethorn, K. E. Hunter, A. Montoya-Castillo and T. J. Zuehlsdorff.<span> </span></p> <p>The folder "Frequency_analysis" contains input and output files for Gaussian ground-state frequency calculations of porphine, TPP, and TPPL.</p> <p>The folder "MD_simulations" contains raw trajectory files, as well as all input data necessary to reproduce QM/MM simulations of porphine, TPP and TPPL in CS2 solvent. Calculations are run using an interface between the classical MD code AMBER and thequantum chemistry code TeraChem. AMBER .paramtop and restart files, as well as Terachem files for the QM region are provided. Additionally, example terachem files for computing vertical excitation energies for individual snapshots are provided.</p> <p>The folder spectra_generation contains raw data of transition dipole and energy gap fluctuationsalong the MD trajectory, after the appropriate Eckart rotation and determination of the correct sign of the dipole moment. It also contains input files for the MolSpeckPy code, that can beused to generate spectra in the GCT and GNCT schemes. Finished spectra, energy gap and dipole spectral densities that are analysed in the main text are also provided. Additionally, we provide input and output files to compute optical spectra for TPPL and TPPL without its phenol rings in the FCHT scheme implemented in Gaussian.</p>
Data for "Femtosecond Symmetry Breaking and Coherent Relaxation of Methane Cations via X-ray Spectroscopy"
<p>This repository contains all the data and scripts needed to obtain the figures reported in the manuscript.</p> <p>The experimental data are processed using Matlab R2022a. </p>
Source Data for "Forced and spontaneous symmetry breaking in cell polarization."
<p>Source Data for Figures 2-4</p>
ATITPhysics 2022S - Spontaneous Symmetry Breaking and Ginzburg-Landau Formalism
<p>These lecture series are given in ATITPhysics 2022 Summer School.</p>
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