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24 results for “SUSY”
Supplementary Data: Global fits of GUT-scale SUSY models with GAMBIT (arXiv:1705.07935)
<p>Supplementary Data</p> <p><em>Global fits of GUT-scale SUSY models with GAMBIT</em><br> <em>arXiv:1705.07935</em></p> <p>The files in this record contain data for the CMSSM, NUHM1 and NUHM2 models considered in the GAMBIT "Round 1" GUT-scale SUSY paper.</p> <p>For each model, there are</p> <ul> <li>A number of YAML files, each corresponding to a different set of sampling parameters and/or priors</li> <li>A set of YAML files used for postprocessing: CMSSM_intermediate.yaml, CMSSM.yaml, NUHM1.yaml and NUHM2.yaml</li> <li>A final hdf5 file, containing the combined results of all sampling runs</li> <li>An example pip file, for producing plots from the hdf5 file using pippi</li> <li>SLHA1 and SLHA2 files for the best-fit point in each subregion of the fit. These can be found inside the tarball best_fits_SLHA.tar.gz.</li> </ul> <p>The record also contains</p> <ul> <li>StandardModel_SLHA2_scan.yaml and StandardModel_SLHA2_postprocessing.yaml, two universal YAML fragments included from other yaml files</li> <li>gambit_preamble.py, a collection of python functions used for in-line data processing in the pip files</li> </ul> <p>The different YAML files corresponding to different samplers and/or priors follow the naming scheme [model]_[scanner]_[prior]_[slice]_[special].yaml, where</p> <ul> <li>model = CMSSM, NUHM1, NUHM2</li> <li>scanner = Diver, MN</li> <li>prior = log, flat</li> <li>slice = pmu, nmu (positive or negative mu)</li> <li>special = sqcoann, slcoann, [blank] (squark co-annihilation, slepton co-annihilation, or bulk)</li> </ul> <p>A few caveats to keep in mind:</p> <ol> <li> <p>For each model, the final hdf5 results file included here was generated in the following way:</p> <ul> <li>carry out initial runs using YAML files following the naming scheme above</li> <li>combine the resulting hdf5 output files into a single file, using gambit/Printers/scripts/combine_hdf5.py</li> <li>postprocess the samples to remove all points more than 5 sigma from the current best fit, using [model]_strip.yaml</li> <li>postprocess the samples to include a new likelihood term for LHC Run II searches, and to recompute the FlavBit likelihoods (these were buggy in a pre-release version of GAMBIT). For the CMSSM, this happened in two steps, due to persistent flavour bugs, using CMSSM_intermediate.yaml and CMSSM.yaml. For the NUHM1 and NUHM2, this was done in a single step each, using NUHM1.yaml and NUHM2.yaml.</li> </ul> </li> <li> <p>It is not necessary to repeat the steps listed in point 1 when running new scans; the LHC Run II likelihoods can be included in the original YAML file, so that no postprocessing step is required.</p> </li> <li> <p>The YAML files that we give here are updated compared to the ones that we used when generating the hdf5 file, in order to match the set of available options in the release version of GAMBIT 1.0.0. The included physics and numerics are however identical.</p> </li> <li> <p>The YAML files are designed to work with the tagged release of GAMBIT 1.0.0, and the pip files are tested with pippi 2.0, commit 2ab061a8. They may or may not work with later versions of either software (but you can of course always obtain the version that they do work with via the git history).</p> </li> <li> <p>The pip file for each model is an example only. Users wishing to reproduce the more advanced plots in any of the GAMBIT papers should contact us for tips or scripts, or experiment for themselves. Many of these scripts are in multiple parts and require undocumented manual interventions and steps in order to implement various plot-specific customisations, so please don't expect the same level of polish as for files provided here or in the GAMBIT repo.</p> </li> </ol>
Stability of the next-to-tribimaximal mixings under radiative corrections with the variation of SUSY breaking scale
<pre>We analyse the stability of the next-to-tribimaximal mixings ($NTBM$) under radiative corrections with the variation of SUSY breaking scale ($m_s$) for both normal and inverted hierarchical cases at the fixed value of seesaw scale $M_R = 10^{15}$ GeV and $\tan \beta = 30$. All the neutrino oscillation parameters receive varying radiative corrections irrespective of the $m_s$ values at the electroweak scale, which are all within $3\sigma$ range of the latest global fit data. NH case is found to be more stable than IH case for all four cases.</pre>
Effects of variations of SUSY breaking scale on neutrino parameters at low energy scale under radiative corrections
<p>The paper addresses the effects of the variations of the SUSY breaking scale $m_s$ in the range (2-14) TeV on the three neutrino masses and mixings, in running the renormalization group equations (RGEs) for different input values of high energy seesaw scale $M_R$, in both normal and inverted hierarchical neutrino mass models. The present investigation is a continuation of the earlier works based on the variation of $m_s$ scale. Two approaches are adopted one after another - bottom-up approach for running gauge and Yukawa couplings from low to high energy scale, followed by the top-down approach from high to low energy scale for running neutrino parameters defined at high energy scale, along with gauge and Yukawa couplings. A self-complementarity relation among three mixing angles is also employed in the analysis. Significant effect due to radiative corrections on neutrino parameters with the variation of SUSY breaking scale $m_s$, is observed.</p>
RPV SUSY dataset for Double DisCo Paper
<p>Dataset corresponding to Sect. 4.3 in <em>Phys. Rev. D 103 (2021) 035021 </em>· e-Print: 2007.14400. This dataset was generated with Pythia 8.230 and Delphes 3.4.1; see the paper for further details. The dataset is a Pandas dataframe that can be read in with pandas.read_hf(). The issig column is a flag that is 1 for the RPV SUSY sample and 0 for the QCD background. The other columns are features that can be used to distinguish these two processes and they are described (and plotted - see Fig. 11) in the above paper.</p>
Stability of the next-to-tribimaximal mixings under radiative corrections with the variation of SUSY breaking scale
<pre>We analyse the stability of the next-to-tribimaximal mixings ($NTBM$) under radiative corrections with the variation of SUSY breaking scale ($m_s$) for both normal and inverted hierarchical cases at the fixed value of seesaw scale $M_R = 10^{15}$ GeV and $\tan \beta = 30$. All the neutrino oscillation parameters receive varying radiative corrections irrespective of the $m_s$ values at the electroweak scale, which are all within $3\sigma$ range of the latest global fit data. NH case is found to be more stable than IH case for all four cases.</pre>
Stability of the next-to-tribimaximal mixings under radiative corrections with the variation of SUSY breaking scale in MSSM
<pre>We analyse the radiative stability of the next-to-tribimaximal mixings ($NTBM$) with the variation of SUSY breaking scale ($m_S$) in MSSM, for both normal and inverted hierarchical cases at the fixed input value of seesaw scale $M_R = 10^{15}$ GeV and $\tan \beta = 30$. All the neutrino oscillation parameters receive varying radiative corrections irrespective of the $m_S$ values at the electroweak scale, which are all within $3\sigma$ range of the latest global fit data. NH case is found to be more stable than IH case for all four cases.</pre>
Stability of the next-to-tribimaximal mixings under radiative corrections with the variation of SUSY breaking scale in MSSM
<pre>We analyse the radiative stability of the next-to-tribimaximal mixings ($NTBM$) with the variation of SUSY breaking scale ($m_S$) in MSSM, for both normal and inverted hierarchical cases at the fixed input value of seesaw scale $M_R = 10^{15}$ GeV and $\tan \beta = 30$. All the neutrino oscillation parameters receive varying radiative corrections irrespective of the $m_S$ values at the electroweak scale, which are all within $3\sigma$ range of the latest global fit data. NH case is found to be more stable than IH case for all four cases.</pre>
Stability of neutrino oscillation parameters at low energy scale with the variations of SUSY breaking scale under Renormalisation Group Equations
<pre>We discuss the stability of the neutrino oscillation parameters at low energy scale including self-complementarity (SC) relations among mixing angles under radiative corrections with the variation of SUSY breaking scale ($m_s$) in both normal and inverted hierarchical cases. We observe that the neutrino oscillation parameters including the SC relation maintains stability at the electroweak scale within $1\sigma$ range of the latest global fit data. NH case maintains more stability than IH case. All the numerical values related to the absolute neutrino masses viz., $\Sigma |m_i|$, $m_{\beta}$ and $m_{ \beta \beta}$ are found to lie below the observational upper bound.</pre>
Stability of neutrino oscillation parameters at low energy scale with the variations of SUSY breaking scale under Renormalisation Group Equations
<pre>We discuss the stability of the neutrino oscillation parameters at low energy scale including self-complementarity (SC) relations among mixing angles under radiative corrections with the variation of SUSY breaking scale ($m_s$) in both normal and inverted hierarchical cases. We observe that the neutrino oscillation parameters including the SC relation maintains stability at the electroweak scale within $1\sigma$ range of the latest global fit data. NH case maintains more stability than IH case. All the numerical values related to the absolute neutrino masses viz., $\Sigma |m_i|$, $m_{\beta}$ and $m_{ \beta \beta}$ are found to lie below the observational upper bound.</pre> <pre> </pre> <pre> </pre>
Stability of neutrino oscillation parameters at low energy scale with the variations of SUSY breaking scale under Renormalisation Group Equations
<pre>We discuss the stability of the neutrino oscillation parameters at low energy scale including self-complementarity (SC) relations among mixing angles under radiative corrections with the variation of SUSY breaking scale ($m_s$) in both normal and inverted hierarchical cases. We observe that the neutrino oscillation parameters including the SC relation maintains stability at the electroweak scale within $1\sigma$ range of the latest global fit data. NH case maintains more stability than IH case. All the numerical values related to the absolute neutrino masses viz., $\Sigma |m_i|$, $m_{\beta}$ and $m_{ \beta \beta}$ are found to lie below the observational upper bound.</pre>
Stability of the next-to-tribimaximal mixings under radiative corrections with the variation of SUSY breaking scale in MSSM
<pre>We analyse the radiative stability of the next-to-tribimaximal mixings ($NTBM$) with the variation of SUSY breaking scale ($m_S$) in MSSM, for both normal ordering (NO) and inverted ordering (IO) at the fixed input value of seesaw scale $M_R = 10^{15}$ GeV and two different values of $\tan \beta$. All the neutrino oscillation parameters receive varying radiative corrections irrespective of the $m_S$ values at the electroweak scale, which are all within $3\sigma$ range of the latest global fit data at low value of $\tan \beta$ (30). NO is found to be more stable than IO for all four different NTBM mixing patterns.</pre>
Supplementary material 1 from: Susi T (2015) Heteroatom quantum corrals and nanoplasmonics in graphene (HeQuCoG). Research Ideas and Outcomes 1: e7479. https://doi.org/10.3897/rio.1.e7479
The attachment contains the original reports given to the FWF by the reviewers of the grant application, published here with their permission.
SUSY Study (SUture StudY) Comparing Scarring With Polypropylene vs Polyglactin 910 Sutures
ClinicalTrials.gov study NCT04724512. IPD Sharing: NO. Countries: 1. Publications: 1.
Figure 6 from: Susi T (2015) Heteroatom quantum corrals and nanoplasmonics in graphene (HeQuCoG). Research Ideas and Outcomes 1: e7479. https://doi.org/10.3897/rio.1.e7479
Figure 6 - The Nion HERMES can achieve a 9 meV wide (full-width at half-maximum, FWHM) zero loss peak (ZLP), much smaller than the energy distribution of even the best unmonochromated beam produced by the cold field emission electron gun of a cutting-edge UltraSTEM100 microscope. This makes it possible to not only measure very low energy excitations such as phonons (Krivanek et al. 2014), but also significantly reduces the background resulting from the 'tail' of the ZLP at optical and plasmon energies (see Fig. 4/3.1). (Figure courtesy of Tracy Lovejoy / Nion Co.)
Figure 2 from: Susi T (2015) Heteroatom quantum corrals and nanoplasmonics in graphene (HeQuCoG). Research Ideas and Outcomes 1: e7479. https://doi.org/10.3897/rio.1.e7479
Figure 2 - Snapshots of a simulated 150 fs trajectory of a C atom that has received 15 eV of kinetic energy from an energetic electron, based on a density functional theory molecular dynamics (Susi et al. 2014). After a complex out-of-plane movement, the silicon-carbon bond is inverted.
Figure 5 from: Susi T (2015) Heteroatom quantum corrals and nanoplasmonics in graphene (HeQuCoG). Research Ideas and Outcomes 1: e7479. https://doi.org/10.3897/rio.1.e7479
Figure 5 - Simulations of N and B implantation into graphene (Åhlgren et al. 2011). (a) A schematic illustration of the simulation geometry. (b-d) Probabilities of resulting configurations as functions of the ion energy, characterized from the outcomes of the MD simulations. (Figure courtesy of Jani Kotakoski / University of Vienna.)
Figure 1 from: Susi T (2015) Heteroatom quantum corrals and nanoplasmonics in graphene (HeQuCoG). Research Ideas and Outcomes 1: e7479. https://doi.org/10.3897/rio.1.e7479
Figure 1 - a,b) Scanning tunneling microscopy (STM) images of a Cu(111) surface with iron atoms being assembled (a) into a circular quantum corral structure (b) (Crommie et al. 1993). The STM experiments require low temperatures and ultra-high vacuums. c,d) STEM images of a silicon atom embedded in the graphene lattice, being non-destructively moved by one lattice position by a beam-driven silicon-carbon bond inversion (Susi et al. 2014). e,f) The corresponding simulated structures. (Panels a and b courtesy of Michael Crommie / University of California at Berkeley.)
Figure 4 from: Susi T (2015) Heteroatom quantum corrals and nanoplasmonics in graphene (HeQuCoG). Research Ideas and Outcomes 1: e7479. https://doi.org/10.3897/rio.1.e7479
Figure 4 - A pictorial illustration of the HeQuCoG project plan, divided into three work packages (WPs, see Section 1.2). The numbered tasks (1.1 to 3.2) are explained in detail in the Methods section below, and citations for images from the literature are given in brackets. Panel captions: 1.1) The implantation of silicon (yellow sphere) into the graphene lattice (black spheres) is simulated via molecular dynamics modeling, yielding optimal ion energies. 1.2) High-quality graphene samples are prepared on Quantifoil TEM grids either from graphene flakes exfoliated onto Si/SiO2 and transferred by immersing the substrate into isopropanol, or from chemically synthesized samples (Meyer et al. 2008). 1.3) Heteroatom ions are accelerated by an electric field, separated by mass, and impacted onto the graphene samples (Schwen 2005). 2.1) Density functional theory and classical potential calculations are used to simulate different configurations of several heteroatoms embedded in the graphene lattice. 2.2) Silicon atoms are moved with atomic precision in the lattice by electron irradiation in a scanning transmission electron microscope (Susi et al. 2014). 3.1) The low-energy electron energy loss spectrum (EELS) of graphene contains collective excitation modes arising from ᴨ and ᴨ+σ plasmons (Zhou et al. 2012). The inset shows the formula for calculating the loss within the GPAW code. 3.2) The influence of heteroatoms embedded in the graphene lattice (left: Z-contrast image) is measured by mapping the EELS response of the ᴨ+σ plasmon (right) (Zhou et al. 2012). With a monochromated electron source, the zero-loss peak is very narrow, allowing lower energy features to be distinguished from the background. (Panel 1.2 courtesy of Jannik Meyer / University of Vienna; panels 3.1 and 3.2 courtesy Juan-Carlos Idrobo / Oak Ridge National Laboratory.)
Figure 3 from: Susi T (2015) Heteroatom quantum corrals and nanoplasmonics in graphene (HeQuCoG). Research Ideas and Outcomes 1: e7479. https://doi.org/10.3897/rio.1.e7479
Figure 3 - Interaction cross sections for relevant electron-beam induced processes at silicon dopant sites based on DFT calculations conducted previously by the principal investigator (Susi et al. 2014).
Next-to-tribimaximal mixing under radiative corrections against the variations of SUSY breaking scale
<pre>In this work, we analyse the stability of next-to-tribimaximal mixing ($NTBM$) mixing patterns under radiative evolution against the varying of SUSY breaking scale ($m_s$) for normal hierarchy case at the fixed value of seesaw scale. Different neutrino parameters receive varying radiative corrections irrespective of the $m_s$ values at the electroweak scale that are within $3\sigma$ uncertainty as per the latest global fit data.</pre>
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