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25 results for “Higgs”

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zenodo48/100

Flavor-violating Higgs decays and stellar cooling anomalies in axion models

<p>We study a class of DFSZ-like models for the QCD axion that can address observed anomalies in stellar cooling. Stringent constraints from SN1987A and neutron stars are avoided by suppressed couplings to nucleons, while axion couplings to electrons and photons are sizable. All axion couplings depend on few parameters that also control the extended Higgs sector, in particular lepton flavor-violating couplings of the Standard Model-like Higgs boson&nbsp;h. This allows us to correlate axion and Higgs phenomenology, and we find that&nbsp;BR(h&nbsp;&rarr;&nbsp;&tau;e)&nbsp;can be as large as the current experimental bound of 0.22%, while&nbsp;BR(h&nbsp;&rarr;&nbsp;&mu;&mu;)&nbsp;can be larger than in the Standard Model by up to 70%. Large parts of the parameter space will be tested by the next generation of axion helioscopes such as</p>

opencc-by-4.0Sep 2023View details →
zenodo40/100

How EMI Contributed to the Higgs Boson Discovery

This video describes the EMI (European Middleware Initiative) software services and how they have contributed to the discovery of the Higgs boson at CERN in 2012 by powering the WLCG computing grid

opencc-by-sa-4.0Jun 2013View details →
zenodo40/100

Data for "Engineering Higgs dynamics by spectral singularities"

<p>These files contain the data for the article &quot;Engineering Higgs dynamics by spectral singularities&quot; (<a href="https://doi.org/10.48550/arXiv.2205.06826">https://doi.org/10.48550/arXiv.2205.06826</a>).</p> <p>In each .zip file,&nbsp;it is possible to find not only the relevant data, but also a script (.sh file extension)&nbsp;to generate each one of the 5 figures shown in the paper and Supplemental Information Material. The file &quot;Phasediagram.zip&quot; contains the data corresponding to the dynamical phase diagrams (Fig. 1 of the manuscript) for the model of flat and graphene-like density of states (DOS).</p> <p>The data for the representative dynamical phases and Fourier Transforms for the constant DOS and graphene-like DOS model can be found in the files &quot;Dynamics_flatDOS.zip&quot; and &quot;Dynamics_grapheneDOS.zip&quot; respectively.&nbsp;</p> <p>The Fourier Transforms of the x-component of pseudospins texture are stored in the files &quot;FFT_x-componentofpseudospintexture_flatDOS.zip&quot; and &quot;FFT_x-componentofpseudospintexture_grapheneDOS.zip&quot; for the flat DOS&nbsp; and graphene DOS case respectively.</p> <p>For all the .txt files inside the .zip files, we have added at the top of each column a brief description of the data recorded below. Some notations have been used and&nbsp;read&nbsp;as follows:&nbsp; &quot;Delta&quot; indicates the superconducting order parameter, and &quot;\xi_k&quot; means the quasiparticle energy.</p>

opencc-by-4.0May 2022View details →
zenodo40/100

Dataset for: A reproduction of C. Vita-Finzi and E. S. Higgs's Prehistoric Economy in the Mount Carmel Area of Palestine: Site Catchment Analysis

<p><u>Land Shapefile</u></p> <p>The land vector dataset was sourced from the 10m Natural Earth Geopackage dataset.</p> <p><u>Topology</u></p> <p>The topological raster data set was sourced from 30m NASA Shuttle Radar Topography Mission (SRTM), which displays the global topography as it is found in the modern day.</p> <p><u>Land-Use</u></p> <p>The land-use raster was sourced from the Sentinel-2 10m Land Use/Land Cover Timeseries which provides a 10m resolution of land-use in the study area as of 2021.</p> <p><u>Rivers</u></p> <p>The river vector dataset was sourced from the HydroSHEDS data at 15 arc-second resolution based on the SRTM DEM.</p> <p><u>Lakes</u></p> <p>The lakes shapefile for the study area is from a large-scale data set from Natural Earth on a scale of 1:10m. This shapefile produces polygons which demonstrate the extent of the major lakes present in the area.</p>

opencc-by-4.0Apr 2024View details →
zenodo40/100

Higgs to diphoton channel at least 2 jet datasets

<p>Datasets of Higgs decay to diphoton with the requirement of at least two jets contained in the events. Events are generated with either Powheg or MadGraph at particle level, then processed with Pythia for parton showering and Delphes for detector simulation.</p> <p>All samples contain ggF Higgs events with at least 2 jets.&nbsp;<a href="/api/files/a6021c00-f37a-423d-87fd-2a617f5845de/processed_madgraph_2j_1.0_1000000.npz?versionId=ea79229c-7665-4b4f-949c-6463471fb051">processed_madgraph_2j_1.0_1000000.npz</a>&nbsp;is the MadGraph sample with the nominal value of photon detector resolution.&nbsp;<a href="/api/files/a6021c00-f37a-423d-87fd-2a617f5845de/processed_madgraph_2j_1.2_1000000.npz?versionId=c2cbe56e-412c-49f2-8926-32cc323707df">processed_madgraph_2j_1.2_1000000.npz</a>&nbsp;is the MadGraph sample with the photon detector resolution scaled by a factor of 1.2 (worse resolution).&nbsp;<a href="/api/files/a6021c00-f37a-423d-87fd-2a617f5845de/processed_powheg_2j_1.2_200000.npz?versionId=8b1e772a-ed9f-4257-8e7f-8c60ee904d56">processed_powheg_2j_1.2_200000.npz</a>&nbsp;is the Powheg&nbsp;sample with the photon detector resolution scaled by a factor of 1.2.&nbsp;<a href="/api/files/a6021c00-f37a-423d-87fd-2a617f5845de/processed_madgraph_2j_syst_1000000.npz?versionId=1a490fc5-3b8e-474c-bd12-66227e868ab6">processed_madgraph_2j_syst_1000000.npz</a>&nbsp;is the MadGraph sample with the photon detector resolution uniformly&nbsp;varied from the nominal value by the factor in the range (0.5, 1.5).</p>

opencc-by-4.0Jan 2023View details →
zenodo40/100

HIGGS_Inventory of the European transmission gas grid

<p>&nbsp;This file contains an assesment of the quantitative structure of the existing gas infrastructure focussing on asset elements that are known to be sensitive over hydrogen additions and that in case of modifications or renewal introduce significant cost.<br> &nbsp;</p>

opencc-by-4.0Mar 2023View details →
zenodo40/100

HIGGS_Testing Platform_P&ID diagram

<p>HIGGS project aims to pave the way to decarbonisation of the gas grid and its usage, by covering the gaps of knowledge of the impact that high levels of hydrogen could have on the gas infrastructure, its components and its management.<br> To reach this goal, several activities, including mapping of technical, legal and regulatory barriers and enablers, testing and validation of systems and innovation, techno-economic modelling and the preparation of a set of conclusions as a pathway towards enabling the injection of hydrogen in high-pressure gas grids, are developed in the project.</p> <p>The test loop is designed&nbsp;as a platform for testing campaigns, and it takes into consideration aspects like safety under varying operation conditions, continuous monitoring of critical parameters and indicators defined for the components and elements to be tested.</p>

opencc-by-4.0Mar 2023View details →
zenodo36/100

Dataset for "Deep Learning to Improve the Sensitivity of Di-Higgs Searches in the 4b Channel"

<p>Dataset for the paper "Deep Learning to Improve the Sensitivity of Di-Higgs Searches in the 4b Channel".</p>

opencc-by-4.0Apr 2024View details →
zenodo36/100

HHH, HH, and QCD events for boosted and resolved Higgs boson jet assignment

<h2>Description</h2> <p>This dataset contains HHH, HH, and QCD events for boosted and resolved Higgs boson jet assignment. The datasets contain two sets of input jets: small-radius jets (<code>Jets</code>) reconstructed with the anti-kT algorithm with radius parameter R=0.5 (AK5 jets) and large-radius jets (<code>BoostedJets</code>) reconstructed with the anti-kT algorithm with a radius parameter R=0.8 (AK8 jets). The dataset content is below.</p> <h2>Files</h2> <p>The different files are used to train and evaluate different symmetry-preserving attention networks (SPA-Nets).</p> <ul> <li><code>hhh_mh120-130_training.h5</code>: Contains HHH events with Higgs boson masses of 120, 122.5, 125, 127.5, and 130 GeV. Used to train the boosted+resolved HHH SPA-Net model.</li> <li><code>hhh_mh125_training.h5</code>: Contains HHH events with a Higgs boson mass of 125 GeV. Used to train the resolved HHH SPA-Net model.</li> <li><code>hhh_mh125_testing.h5</code>: Contains HHH events with a Higgs boson mass of 125 GeV. Used to evaluate the resolved and boosted+resolved HHH SPA-Net models.</li> <li><code>hh_mh125_training.h5</code>: Contains HH events with a Higgs boson mass of 125 GeV. Used to train the resolved and boosted+resolved HH SPA-Net models.</li> <li><code>hh_mh125_testing.h5</code>: Contains HH events with a Higgs boson mass of 125 GeV. Used to evaluate the resolved and boosted+resolved HH SPA-Net models.</li> <li><code>qcd_training.h5</code>: Contains QCD multijet events. Used to train the baseline boosted decision tree (BDT) large-radius jet tagger.</li> <li><code>qcd_testing.h5</code>: Contains QCD multijet events. Used to evaluate the mass sculpting.</li> </ul> <h2>Content</h2> <pre><code>INPUTS BoostedJets MASK fj_charge fj_chargedenergyfrac fj_cosphi fj_ehadovereem fj_eta fj_mass fj_ncharged fj_neutralenergyfrac fj_nneutral fj_phi fj_pt fj_sdmass fj_sinphi fj_tau21 fj_tau32 Jets MASK btag cosphi eta flavor mass matchedfj phi pt sinphi TARGETS bh1 bb mask pt bh2 bb mask pt h1 b1 b2 mask pt h2 b1 b2 mask pt</code></pre>

opencc-by-4.0Dec 2024View details →
zenodo36/100

Simulated datasets for dihiggs to (bb)(γγ) with higgs-sector SMEFT effects

<p>Analysis dataset used for the report "Deriving Constraints on di-Higgs SMEFT couplings with Neural Simulation-based Inference" (<a href="https://arxiv.org/abs/2405.15847">arXiv link</a>). We provide dihiggs signal events&nbsp;<em>gg -&gt; hh -&gt; (bb)(&gamma;&gamma;)</em> and QCD background events <em>pp -&gt; bb&gamma;&gamma;&nbsp;</em>at both a 14 TeV and 100 TeV collider setup. All events are generated with MadGraph 3.5.1, Pythia 8.306, and Delphes 3.5.0.</p> <p>For the hard process (<em>pp -&gt; hh</em>) for the signal events, we use the <a href="https://feynrules.irmp.ucl.ac.be/wiki/SMEFTatNLO" target="_blank" rel="noopener">SMEFT@NLO</a> MadGraph model to incorporate the effects of three dimension-6 SMEFT operators (c_p, c_{dp}, c_{tp}). We select 10 values ("morphing basis points") for the vector (c_p, c_{dp}, c_{tp}) (see Table IV of the accompanying report). At each morphing basis point, we generate a number of signal events; for each event, we also calculate the weights to the other 9 basis points. All of this data is stored in the .h5 files. We use MadSpin to carry out the higgs decays.</p> <p>These datasets can be used as input into the <a href="https://github.com/madminer-tool/madminer/blob/b7f7916dde5b315cecaafd113e88a37b9464c420/madminer/sampling/sampleaugmenter.py#L16" target="_blank" rel="noopener">MadMiner SampleAugmenter</a> function, which uses the weights associated with the signal events to generate detector-level events at arbitrary (c_p, c_{dp}, c_{tp}) points.</p> <p>All scripts used to generate and process this data are available at <a href="https://github.com/rmastand/nsbi_for_dihiggs" target="_blank" rel="noopener">this repository</a>. Please refer to the accompanying paper for more details on the analysis.&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0May 2024View details →
zenodo36/100

Supplementary Data: Global analyses of Higgs portal singlet dark matter models using GAMBIT

<p>The files in this record contain data for the effective Higgs portal dark&nbsp;matter models considered in the&nbsp;<a href="http://gambit.hepforge.org/">GAMBIT</a>&nbsp;&quot;Higgs portal&quot; paper.</p>

opencc-by-4.0Sep 2018View details →
zenodo36/100

Reproducibility packs for the article: Generation and decay of Higgs mode in a strongly interacting Fermi gas

<p>The supplementary material contains a reproducibility pack for results presented in the paper:</p> <p>A. Barresi, A. Boulet, G. Wlazłowski, P. Magierski,<br><em>Generation and decay of Higgs mode in a strongly interacting Fermi gas</em>,<br><a href="https://www.nature.com/articles/s41598-023-38176-9">Sci. Rep. 13, 11285 (2023)</a></p> <p>For more info see: README.txt</p>

opencc-by-4.0Oct 2024View details →
zenodo36/100

Higgs + jets event samples at next-to-leading order QCD at 14 TeV

<p>Higgs plus multi-jet event samples at parton level in HDF5 event format</p> <p><span class="math-tex">\(\sqrt{s}=14\,{\rm TeV}\)</span></p> <p><span class="math-tex">\(m_H=125\,{\rm GeV}\)</span></p> <p><span class="math-tex">\(\mu_R=\mu_F=\frac{1}{2}\Big(m_{\perp,H}+\sum_{jets}p_{\perp,j}\Big)\)</span></p> <p>Generated with <a href="https://gitlab.com/hpcgen/me">Sherpa</a> using the attached setup files</p> <p>Files can be filtered and merged using the <a href="https://gitlab.com/shoeche/lheh5-reader">tools provided on GitLab</a></p>

opencc-by-4.0May 2023View details →
zenodo36/100

Higgs + jets event samples at leading-order QCD at 14 TeV

<p>Higgs plus multi-jet event samples at parton level in HDF5 event format</p> <p><span class="math-tex">\(\sqrt{s}=14\,{\rm TeV}\)</span></p> <p><span class="math-tex">\(m_H=125\,{\rm GeV}\)</span></p> <p><span class="math-tex">\(\mu_R=\mu_F=\frac{1}{2}\Big(m_{\perp,H}+\sum_{jets}p_{\perp,j}\Big)\)</span></p> <p>Generated with <a href="https://gitlab.com/hpcgen/me">Sherpa</a> using the attached setup files</p> <p>Files can be filtered and merged using the <a href="https://gitlab.com/shoeche/lheh5-reader">tools provided on GitLab</a></p>

opencc-by-4.0May 2023View details →
zenodo36/100

VBF Higgs + jets event samples at leading order QCD at 14 TeV

<p>VBF Higgs plus multi-jet event samples at parton level in HDF5 event format</p> <p><span class="math-tex">\(\sqrt{s}=14\,{\rm TeV}\)</span></p> <p><span class="math-tex">\(m_H=125\,{\rm GeV}\)</span></p> <p><span class="math-tex">\(\mu_R=\mu_F=\frac{1}{2}\Big(m_{\perp,H}+\sum_{jets}p_{\perp,j}\Big)\)</span></p> <p>Generated with <a href="https://gitlab.com/hpcgen/me">Sherpa</a> using the attached setup files</p>

opencc-by-4.0Apr 2023View details →
zenodo36/100

EW Higgs + jets event samples at leading order QCD at 14 TeV

<p>EW Higgs plus multi-jet event samples at parton level in HDF5 event format</p> <p><span class="math-tex">\(\sqrt{s}=14\,{\rm TeV}\)</span></p> <p><span class="math-tex">\(m_H=125\,{\rm GeV}\)</span></p> <p><span class="math-tex">\(\mu_R=\mu_F=\frac{1}{2}\Big(m_{\perp,H}+\sum_{jets}p_{\perp,j}\Big)\)</span></p> <p>Generated with <a href="https://gitlab.com/hpcgen/me">Sherpa</a> using the attached setup files</p>

opencc-by-4.0May 2023View details →
zenodo36/100

Signal and background samples for Higgs boson decays to four b-jets

<p>Data samples used in the paper <em>Illuminating all-hadronic final states with a photon: Exotic decays of the Higgs boson to four bottom quarks in vector boson fusion plus gamma at hadron colliders.</em> Included are analysis ntuples for the produced background samples and 4 signal samples: VBF with and without a photon for H--&gt;aa--&gt;4b for m_a = 50 GeV and m_a = 25 GeV.</p> <p>Analysis ntuples include only events with 6 total jets (4b final state) or 5 total jets (3b final state). Variables included are 4-vectors for the 2 jets with the highest invariant mass (VBF jets), weighting variables used in the analysis and described in the paper, leading photon 4-vector, and final state (4b/3b) invariant masses and jet separation variables used in analysis and further described in the paper.</p> <p>Samples are simulated using MadGraph5 version 2.7.3, Pythia8, and Delphes. Further details about sample simulation can be found in the paper.</p>

opencc-by-4.0May 2023View details →
zenodo36/100

Higgs to 4 Leptons with CMS Open data from the Large Hadron Collider

<p>Dataset for MIT 8.S50 online class details to process it can be found here:&nbsp;<br> https://github.com/mit-physics-data/psets/tree/main/pset2&nbsp;</p>

opencc-by-4.0Jun 2023View details →
zenodo36/100

Charged Dark Matter in Supersymmetric Twin Higgs models

<p>Supersymmetric Twin Higgs models ameliorate the fine-tuning of the electroweak scale originating from the heavy scalar top partners required by the non-discovery of them at the Large Hadron Collider. If the Lightest Supersymmetric Particle resides in the twin sector, it may play the role of dark matter even if it is charged under twin gauge interactions. We show that the twin stau is a viable candidate for charged dark matter, even if the twin electromagnetic gauge symmetry is unbroken, with thermal relic abundance that naturally matches the observed dark matter abundance. A wide parameter space satisfies all the experimental constraints including those on dark matter self-interactions. Twin stau dark matter can be observed in future direct detection experiments such as LUX-ZEPLIN. The stau has a mass in the range of 300-500 GeV, and in the minimal scenario, has a decay length long enough to be observed as a disappearing track or a long-lived particle at the Large Hadron Collider.</p>

opencc-by-4.0Oct 2022View details →
zenodo36/100

HIGGS_M_WP5_423_OST_Techno-economic-model_190620171000_230922

<p>Metadata for graphs of HIGGS&#39; deliverable D5.3 &quot;Intermediate report: key findings on potential and enablers&quot;</p>

opencc-by-4.0Sep 2023View details →

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allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
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DANDI Archive for NWB datasets

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dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

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openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record