Reconstructing the Supersymmetric Lagrangian
|
|
- Brook McKenzie
- 5 years ago
- Views:
Transcription
1 Reconstructing the Supersymmetric Lagrangian Michael Rauch ( in collaboration with Rémi Lafaye, Tilman Plehn, Dirk Zerwas) arxiv: [hep-ph] Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p.
2 Outline Supersymmetry Current Status Determining SUSY Parameters Kinematic Edges as Experimental Input Possible Collider Results Dark Matter Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p. 2
3 Supersymmetry Symmetry between bosons and fermions: Q boson = fermion ; Q fermion = boson Q: Supersymmetry Operator Simplest model: Minimal Supersymmetric Standard Model (MSSM) Supersymmetric partner to each Standard Model particle Two Higgs doublets 5 Higgs bosons (h,h,a,h ± ) Particles with same quantum numbers mix (e.g. Zino, Photino, 2 Higgsino 4 Neutralino) Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p. 3
4 msugra Unification at the GUT scale ( 6 GeV ): plus Apparent unification of gauge couplings (general feature of MSSM) Common scalar mass: m Common sfermion mass: m /2 Common trilinear coupling: A ratio of the Higgs vacuum expectation values at the electro-weak scale: tan β = v 2 v one sign: sgn µ Evolve three parameters defined at the GUT scale via renormalisation group equations down to electro-weak scale: Weak-scale MSSM parameters Masses and couplings /M i M M 2 M log(q) Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p. 4
5 Current Status Standard Model experimentally very well confirmed Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p. 5
6 Current Status Standard Model experimentally very well confirmed Few experimental deviations Dark matter 23% Dark Matter content in the universe Possible candidate in the SM: Neutrinos neutrino mass limits prevent accounting for total content M W σ deviation LEP 2.3σ excess in Higgs-like events near 98 GeV g 2 of the Muon 3.4σ deviation Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p. 5
7 Current Status Standard Model experimentally very well confirmed Few experimental deviations Dark matter 23% Dark Matter content in the universe Possible candidate in the SM: Neutrinos neutrino mass limits prevent accounting for total content M W σ deviation LEP 2.3σ excess in Higgs-like events near 98 GeV g 2 of the Muon 3.4σ deviation Some theoretical problems No gauge coupling unification Hierarchy problem (higher-order corrections to the Higgs-boson mass proportional to mass of the heaviest coupling particle GUT scale (?)) Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p. 5
8 Current Status Standard Model experimentally very well confirmed Few experimental deviations Dark matter 23% Dark Matter content in the universe Possible candidate in the SM: Neutrinos neutrino mass limits prevent accounting for total content M W σ deviation LEP 2.3σ excess in Higgs-like events near 98 GeV g 2 of the Muon 3.4σ deviation Some theoretical problems No gauge coupling unification Hierarchy problem (higher-order corrections to the Higgs-boson mass proportional to mass of the heaviest coupling particle GUT scale (?)) Look for possible ultra-violet completions Supersymmetry Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p. 5
9 Determining SUSY parameters nowadays: Parameters in the Lagrangian m, µ, tan(β), M {,2,3},... Observables: Masses Feynman diagrams, RG evolution,... Kinematic endpoints Cross sections Branching ratios... after SUSY discovery: Observables m h, m gχ, three-particle edge(χ 4,ẽ L,χ ), BR,... Lagrangian parameters M ± GeV M 2 ± GeV M 3 ± GeV µ ± GeV tan β ±......? Tools to reconstruct SUSY parameters Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p. 6
10 Current Fits Fits of current data to supersymmetry (only msugra) [Allanach, Cranmer, Lester, Weber 25-7] [Roszkowski, Ruiz de Austra, Trotta 26/7] [Buchmüller, Cavanaugh, De Roeck, Heinemeyer, Isidori, Paradisi, Ronga, Weber, Weiglein 27] Observables: Dark Matter Ω DM h 2 g 2 µ M W sin 2 θ W BR(b sγ) BR(B s µ + µ )... Predictions for SUSY mass spectrum Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p. 7
11 Current Fits (2) Predictions for SUSY mass spectrum [plots by Allanach et al.] Bayesian: (flat tan β prior) (REWSB+same order prior) m (TeV) M /2 (TeV) P/P(max) m (TeV) tan β P/P(max) m (TeV) tan β P/P(max) Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p. 8
12 Current Fits (2) P w= w=2 profile P w= w=2 profile χ m ql (TeV) m χ (TeV).5 LEP excluded 4 2 m h [right-hand plot by Buchmüller et al.] Low-energy TeV-scale SUSY fits data very well Mass ranges for SUSY particles Mass of the lightest Higgs boson compatible with LEP limit Discovery of SUSY at the LHC Additional observables from collider data SFitter (or Fittino) [Lafaye, Plehn, MR, Zerwas] [Bechtle, Desch, Wienemann] Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p. 9
13 What SFitter does Set of measurements LHC measurements: kinematic edges, thresholds, masses, mass differences cross sections, branching ratios ILC measurements Indirect Constraints electro-weak: M W, sin 2 θ W ; (g 2) µ flavour: BR(b sγ), BR(B s µ + µ ); dark matter: Ωh 2 or even ATLAS and CMS measurements separately Compare to theoretical predictions Spectrum calculators: SoftSUSY, SuSPECT, ISASUSY LHC cross sections: Prospino2 LC cross sections: MsmLib Branching Ratios: SUSYHit (HDecay + SDecay) micromegas [Allanach; Djouadi, Kneur, Moultaka; Baer, Paige, Protopopescu, Tata] [Plehn et al.] [Ganis] [Djouadi, Mühlleitner, Spira] [Bélanger, Boudjema, Pukhov, Semenov] g-2 [Alexander, Stöckinger] Using as glue: SLHAio [Kreiss] Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p.
14 Parameter Scans MSSM parameter space is high-dimensional: SM: 3+ parameters (m t, α s, α,... ) msugra: 5 parameters (m,m /2, A,tan(β),sgn(µ)) General MSSM: 5 parameters On loop-level observables depend on every parameter Simple inversion of the relations not possible Parameter scans Error estimates on parameters in the minimum Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p.
15 Parameter Scans MSSM parameter space is high-dimensional: SM: 3+ parameters (m t, α s, α,... ) msugra: 5 parameters (m,m /2, A,tan(β),sgn(µ)) General MSSM: 5 parameters On loop-level observables depend on every parameter Simple inversion of the relations not possible Parameter scans Error estimates on parameters in the minimum Find best points (best χ 2 ) using different fitting techniques: Gradient search (Minuit) + Reasonably fast Limited convergence, only best fit Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p.
16 Parameter Scans MSSM parameter space is high-dimensional: SM: 3+ parameters (m t, α s, α,... ) msugra: 5 parameters (m,m /2, A,tan(β),sgn(µ)) General MSSM: 5 parameters On loop-level observables depend on every parameter Simple inversion of the relations not possible Parameter scans Error estimates on parameters in the minimum Find best points (best χ 2 ) using different fitting techniques: + Reasonably fast Gradient search (Minuit) fixed Grid scan Limited convergence, only best fit + scans complete parameter space many points needed (O(e N )) Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p.
17 Parameter Scans MSSM parameter space is high-dimensional: SM: 3+ parameters (m t, α s, α,... ) msugra: 5 parameters (m,m /2, A,tan(β),sgn(µ)) General MSSM: 5 parameters On loop-level observables depend on every parameter Simple inversion of the relations not possible Parameter scans Error estimates on parameters in the minimum Find best points (best χ 2 ) using different fitting techniques: + Reasonably fast Gradient search (Minuit) fixed Grid scan Weighted Markov Chains Limited convergence, only best fit + scans complete parameter space many points needed (O(e N )) Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p.
18 Markov Chains Markov Chain (MC): Sequence of points, chosen by an algorithm (Metropolis-Hastings), only depending on its direct predecessor Picks a set of average points according to a potential V (e.g. inverse log-likelihood, /χ 2 ) Point density resembles the value of V (i.e. more points in region with high V ) Scans high dimensional parameter spaces efficiently [Baltz, Gondolo 24] msugra MC scans with current exp. limits [Allanach, Cranmer, Lester, Weber 25-7; Roszkowski, Ruiz de Austra, Trotta 26/7] Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p. 2
19 Weighted Markov Chains Weighted Markov Chains: Improved evaluation algorithm for binning: [Plehn, MR] Weight points with value of V : Take care of Overcounting because point density is already weighted ( number of points ) /V (point) Ppoints [based on Ferrenberg, Swendsen 988] Correct account for regions with zero probability (maintain additional chain which stores points rejected because V (point) = ) + Fast scans of high-dimensional spaces O(N) + Does not rely on shape of χ 2 (no derivatives used) + Can find secondary distinct solutions Exact minimum difficult to find Additional gradient fit Bad choice of proposal function for next point leads to bad coverage of the space Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p. 3
20 msugra as a Toy Model msugra with LHC measurements (SPSa kinematic edges): pick one set of measurements, randomly smeared from the true values Free parameters: m, m /2, tan(β), A, sgn(µ), m t SFitter output : Fully-dimensional exclusive likelihood map (colour: minimum χ 2 over all unseen parameters) SFitter output 2: Ranked list of minima: m / m e+7 χ 2 m m /2 tan(β) A µ m t SPSa ) ) ) ) Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p. 4
21 Bayesian or Frequentist? SFitter provides full-dimensional log-likelihood map project onto plotable - or 2-dimensional spaces Bayesian: m / m e+7 /χ 2 3.5e-5 3e-5 2.5e-5 2e-5.5e-5 e-5 5e m /2 Marginalisation of χ 2 in all other directions Frequentist: m / m e+7 /χ Profile likelihood: Value of bin is value of smallest χ 2 occuring in this bin m /2 Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p. 5
22 Bayesian or Frequentist? SFitter provides full-dimensional log-likelihood map project onto plotable - or 2-dimensional spaces Bayesian: m / m e+7 /χ 2 3.5e-5 3e-5 2.5e-5 2e-5.5e-5 e-5 5e m /2 Marginalisation of χ 2 in all other directions Frequentist: m / m e+7 /χ m /2 Different methods answer different questions. Bayesian and Frequentist! Everybody can choose his/her favourite analysis... Profile likelihood: Value of bin is value of smallest χ 2 occuring in this bin Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p. 5
23 Purely high-scale model m, m /2, A defined at the GUT-scale tan(β) defined at the weak scale Replace tan(β) with high-scale quantity B Flat prior in B yields prior tan(β) 2 SPSa with LHC kinematic edges (tan(β) vs. /χ 2 ): /χ 2 /χ e-6 6e-6 5e-6 4e-6 3e-6 2e-6 e-6 flat B prior tan(β) tan(β) /χ 2 /χ flat tan(β) prior 2.5e-6 2e-6.5e-6 e-6 5e tan(β) tan(β) Bayesian: Large influence of choice of prior Choosing flat B prior strongly favours low values of tan(β). Frequentist: Two plots should be identical (no prior in χ 2 calculation) Indirect influence via Markov Chain proposal function Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p. 6
24 Error determination Treatment of errors: χ 2 All experimental errors are Gaussian σ 2 exp = σ2 stat + σ2 syst(j) + σ2 syst(l) Systematic errors from jet (σ syst(j) ) and lepton energy scale (σ syst(l) ) assumed 99% correlated each σ theo -σ exp -σ theo +σ theo +σ theo +σ exp Theory error added as box-shaped (RFit scheme [Hoecker, Lacker, Laplace, ( Lediberder]) 2log L χ 2 = P measurements Parameter errors: SPSa theo exp zero theo exp zero xdata x pred σ theo for x data x pred < σ theo «2 for x data x pred σ theo σexp theo exp gauss theo exp flat LHC masses LHC edges m m / tan β A m t Use kinematic edges for parameter determination instead of masses Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p. 7
25 Weak-scale MSSM No need to assume specific SUSY-breaking scenario SUSY-breaking mechanism should be induced from data Use of Markov Chains makes scanning the 9-dimensional parameter space feasible Lack of sensitivity on one parameter does not slow down the scan (no need to fix parameters) Same SFitter output as before: Minima list and Likelihood map MSSM using SPSa spectrum and LHC kinematic edges: (Bayesian, full parameter space) M M... e-4 e-5 % of points M Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p. 8
26 Search Strategy () Full scan of 9D parameter space challenging Four-step procedure yields better and faster results: Weighted-Markov-Chain run with flat pdf over full parameter space 5 best points additionally minimised (full scan, no bias on starting point) M M... e-4 e-5 % of points M.6 e L /χ e-5 6e-5 2 4e-5 2e M M Correlations not aligned with parameters washed out in plots Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p. 9
27 Search Strategy (2) Full scan of 9D parameter space challenging Four-step procedure yields better and faster results: Weighted-Markov-Chain run with flat pdf over full parameter space 5 best points additionally minimised (full scan, no bias on starting point) Weighted-Markov Chain with flat pdf on Gaugino-Higgsino subspace: M, M 2, M 3, µ, tan β, m t Additional Minuit run with 5 best solutions Step Step 2 M e-4 e-5 M e+9 e M M Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p. 2
28 Search Strategy (2) - results Only three neutralinos (χ, χ 2, χ 4 ) with masses (97.2 GeV, 8.5 GeV, GeV ) and no charginos observable at the LHC in SPSa Mapping (M, M 2, µ) (χ, χ 2, χ 4 ) not unique sgn µ basically undetermined by collider data 8-fold solution.6 5 e+8 e µ -5 /χ M M Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p. 2
29 Search Strategy (2) - results Only three neutralinos (χ, χ 2, χ 4 ) with masses (97.2 GeV, 8.5 GeV, GeV ) and no charginos observable at the LHC in SPSa Mapping (M, M 2, µ) (χ, χ 2, χ 4 ) not unique sgn µ basically undetermined by collider data 8-fold solution µ < µ > SPSa M M µ tan β M m t Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p. 2
30 Search Strategy (3) Full scan of 9D parameter space challenging Four-step procedure yields better and faster results: Weighted-Markov-Chain run with flat pdf over full parameter space 5 best points additionally minimised (full scan, no bias on starting point) Weighted-Markov Chain with flat pdf on Gaugino-Higgsino subspace: M, M 2, M 3, µ, tan β, m t Additional Minuit run with 5 best solutions Weighted-Markov Chain with Breit-Wigner-shaped pdf on remaining parameters for all solutions of previous step Minimisation for best 5 points /χ 2 4.5e-6 4e-6 3.5e-6 3e-6 2.5e-6 2e-6.5e-6 e-6 5e /χ q L q L Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p. 22
31 Search Strategy (4) Full scan of 9D parameter space challenging Four-step procedure yields better and faster results: Weighted-Markov-Chain run with flat pdf over full parameter space 5 best points additionally minimised (full scan, no bias on starting point) Weighted-Markov Chain with flat pdf on Gaugino-Higgsino subspace: M, M 2, M 3, µ, tan β, m t Additional Minuit run with 5 best solutions Weighted-Markov Chain with Breit-Wigner-shaped pdf on remaining parameters for all solutions of previous step Minimisation for best 5 points Minuit run for best points of last step keeping all parameters variable Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p. 23
32 Best points µ < µ > SPSa M M µ tan β M M τl M τr M µl M µr MẽL MẽR M q3l M t R M br M ql M qr A t ( ) A t (+) m A m t Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p. 24
33 Degenerate Solutions In total 9 parameters constrained by 22 measurements Measurements constructed from only 5 underlying masses Complete determination of parameter set not possible Five parameters not well constrained m A no heavy Higgses measurable M t R A t stop sector parameters do not enter edge measurements M τl or M τr only the lighter stau measured tan β change can always be accomodated by rotating M, M 2, M q3,... Single common link: m h 4-dimensional hyperplane in parameter space undetermined Can still assign errors to some of the badly determined parameters Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p. 25
34 Error analysis Technical procedure as in msugra case: smeared data sets Minimum determined for each data set individually Error determined from fit with Gaussian Most constrained parameters determinable with 5% accuracy Inclusion of theory errors leads to an increase of factor 2 on the parameter errors ILC data complementary to LHC Combination of the two experiments allows for precise determination of all parameters LHC ILC LHC+ILC SPSa M 2.± ±. 3.2± MẽR 35.± ± ± m A 46.3±O( 3 ) 393.8± ± M t R 45.8±O( 2 ) 434.7±O(4 2 ) 42.7± Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p. 26
35 Dark Matter Content of the universe: 73% Dark energy 4% Ordinary matter MSSM: χ 23% Dark matter [ NASA/WMAP Science Team as LSP ideal candidate for cold dark matter (CDM): massive, weakly interacting ] SFitter: Determine Lagrangian parameters Spectrum and couplings e.g. micromegas: Calculate relic density Ω CDM h 2 = n LSP m LSP [Bélanger et al.] Prediction of Ω CDM h 2 LHC : Ω CDM h 2 =.96 ±.33 LHC+ILC: Ω CDM h 2 =.9 ±.3 (improvement by one order of magnitude) Compare with experiment (Measurement of the fluctuations of the cosmic microwave background): WMAP: Ω CDM h 2 =.277 ±.8 [astro-ph/63449] Planck: Ω CDM h 2 =? ±.6 Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p. 27
36 Summary & Outlook Current status: Low-energy supersymmetry fits precision data very well Parameter scans important to determine Lagrangian parameters from observables Problem of high-dimensional parameter spaces Markov Chains can do this effectively Improved algorithm developed Two types of output: Likelihood map and list of best points Both Bayesian and Frequentist from likelihood map Bayesian output significantly dependent on priors Tested with msugra SPSa: can reconstruct SPSa from (simulated) LHC data Repeated procedure with weak-scale MSSM: reconstruction works as well Test of Dark-Matter hypothesis seems possible SFitter (despite its name) not tied to SUSY extend to other models/problems Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p. 28
37 Backup Slides Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p. 29
38 Testing Unification Apparent unification of gauge coupling parameters in the MSSM Question arises: Do other parameters unify as well? Should be tested by bottom-up running from weak scale to Planck scale Can give hints about supersymmetry breaking (e.g. test scalar-mass sum rules with a sliding scale) [Schmaltz et al.] Bottom-up running of gaugino masses and 3rd-generation sfermion masses:..8 M M 2 M 3 M τr,m τl,m t R,M br,m q3 L ; M 3 = GeV 7 6 /M i log(q) log(q) Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p. 3
39 Testing Unification Apparent unification of gauge coupling parameters in the MSSM Question arises: Do other parameters unify as well? Should be tested by bottom-up running from weak scale to Planck scale Can give hints about supersymmetry breaking (e.g. test scalar-mass sum rules with a sliding scale) [Schmaltz et al.] Bottom-up running of gaugino masses and 3rd-generation sfermion masses: /M i log(q) M M 2 M 3 M τr,m τl,m t R,M br,m q3 L ; M 3 = GeV For Demonstration Only log(q) Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p. 3
40 Experimental Input (Edges) msugra SPSa as a benchmark point: m = GeV, m /2 = 25 GeV, A = GeV, tan β =, sgn µ = +, m t = 7.4 GeV LHC experimental data from cascade decays (best precision obtainable) q q l ± l χ 2 l χ Measurement Value Errors ( GeV ) ( GeV ) (stat) (syst) (m max llq ):Edge( q L,χ 2,χ ) (m min llq ) :Thres( q L,χ 2, µ R,χ ) (m low lq ) :Edge( c L,χ 2, µ R) (m high lq ):Edge( c L,χ 2, µ R,χ ) Theoretical Errors: msugra: 3% for gluino and squark masses, % for all other sparticle masses MSSM: % for gluino and squark masses,.5% for all other sparticle masses m h : 2 GeV (unknown higher order terms) Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p. 3
41 Metropolis-Hastings Algorithm start point suggested point probability density function (PDF) V (suggested point) V (start point) yes? > random number [, ) no replace add point to chain Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p. 32
42 Experimental Input (edges) (Obs) = (meas) ± (exp) ± (theo) m h = 9.53 ±.25 ± 2. m t = 7.4 ±. ±. m µl,χ = 6.26 ±.6 ±. m g,χ = ± 2.3 ± 6. m cr,χ = ±. ± 4.2 m g, b = ±.5 ±. m g, b2 = 64.6 ± 2.5 ±.7 Edge(χ 2, µ R,χ ) = ±.3 ±.8 (mmax Edge( c L,χ 2,χ ) = ±.4 ± 4.3 (mmax llq ) Edge( c L,χ 2, µ R) = 36.5 ±.9 ± 3. (m low lq ) Edge( c L,χ 2, µ R,χ ) = ±. ± 3.8 (mhigh lq ) Edge(χ 4, µ R,χ ) = ± 2.3 ±.3 (mmax ll (χ 4 )) Edge(χ 4, τ L,χ ) = ± 5. ±.8 (mmax ττ ) ll ) Threshold( c L,χ 2, µ R,χ ) = 2.95 ±.6 ± 2. (mmin Threshold( b,χ 2, µ R,χ ) = 2.95 ±.6 ± 2. (mmin llb ) llq ) Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p. 33
43 msugra around Minima positive µ Bayesian A m t m t A /χ /χ A m t Frequentist A m t m t A /χ /χ A m t Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p. 34
44 msugra around Minima negative µ Bayesian A m t m t A /χ e /χ A m t Frequentist A m t m t A /χ /χ A m t Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p. 35
45 Error determination Minuit output not usable for flat theory errors: Migrad function depends on parabolic approximation Cannot determine χ 2 for Minos to yield 68% CL intervals Need more general approach Perform, toy experiments with measurements smeared around correct value Minimise each toy experiment Plot resulting distribution of parameter points and fit with Gaussian m χ 2 Flat theory errors m χ 2 Gaussian theory errors Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p. 36
46 MSSM errors LHC ILC LHC+ILC SPSa tan β.± ± ± 6.2. M 2.± ±. 3.2± M ± ± ± M ± 4.5 fixed 5 58.± M τl 227.8±O( 3 ) 9.7± ± M τr 64.±O( 3 ) 36.± ± M µl 93.2± ± ± M µr 35.± ± ± MẽL 93.3± ± ± MẽR 35.± ± ± M q3l 48.4± ± O( 2 ) 493.± M t R 45.8±O( 2 ) 434.7±O(4 2 ) 42.7± ± 7.9 fixed ± M br M ql 524.6± 4.5 fixed ± M qr 57.3± 7.5 fixed 5 59.± A τ fixed 63.4± O( 4 ) 764.7±O( 4 ) A t -59.± ± O( 3 ) -493.± A b fixed fixed 99.6±O( 4 ) A l,2 fixed fixed fixed -25. A u,2 fixed fixed fixed A d,2 fixed fixed fixed m A 46.3±O( 3 ) 393.8± ± Michael Rauch µ 35.5± 4.5 SFitter: Reconstructing the Supersymmetric Lagrangian 354.8± ± KEK, Mar 8 p. 37
47 Example Test function (5-dim): Small Hypersphere r =, V max = (65, 25,35, 35, 35) Cuboid d = (73,2, 2,2, 2), V max = (85,225, 65, 65,65) Cube d = (,, 3,3, 3), V max = (75,75, 45,45, 45) Gaussian σ = (5, 5,5, 5, 5), V max = (25,25, 55,55, 55) Big Hypersphere r = 3, V max = (35,65, 65, 65,65) Background V = x 2 x2 2 x2 3 x2 4 x2 5 x x V=74.929@(655.,253.72,347.83,348.57,349.59) 2. V=59.972@(85.4,224.99,65.,649.99,654.56) 3. V=58.29@(849.97,225.,587.8,65.,65.2) 4. V=25.@(75.,749.99,45.,45.,45.) 5. V=6.42@(245.45,253.44,552.5,542.58,544.75) 6. V=2.6@(35.7,65.4,65.36,65.4,65.38) Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p. 38
48 Plot Details Parameters: x,...,x 5 [, ] Bins: 5 5 PDF: Breit-Wigner ( + x 2 i /σ2 ) with σ = Number of Markov chains: 9 Number of points per chain: 7 Number of function evaluations: 33, 797, 53 Acceptance ratio:.9 Final r (measure of convergence):.85 CPU time (3 GHz): 5 min Michael Rauch SFitter: Reconstructing the Supersymmetric Lagrangian KEK, Mar 8 p. 39
MSSM Parameter Reconstruction at the LHC
MSSM Parameter Reconstruction at the LHC Michael Rauch Rémi Lafaye, Tilman Plehn, Dirk Zerwas Michael Rauch SFitter: MSSM Parameter Reconstruction at the LHC SUSY-GDR 7 p. 1 What SFitter does Set of measurements
More informationReconstructing Supersymmetry in the LHC era
Reconstructing Supersymmetry in the LHC era Michael Rauch ( in collaboration with Rémi Lafaye, Tilman Plehn, Dirk Zerwas) Michael Rauch SFitter: Reconstructing Supersymmetry in the LHC era Durham, Nov
More informationReconstructing the supersymmetric Lagrangian
Reconstructing the supersymmetric Lagrangian Michael Rauch ( in collaboration with Rémi Lafaye, Tilman Plehn, Dirk Zerwas) Michael Rauch SFitter: Reconstructing the supersymmetric Lagrangian Glasgow, Feb
More informationMeasuring Supersymmetry
Measuring Supersymmetry Michael Rauch ( in collaboration with Rémi Lafaye, Tilman Plehn, Dirk Zerwas) arxiv:79.3985 [hep-ph] Michael Rauch SFitter: Measuring Supersymmetry Edinburgh, Dec 7 p. Outline Supersymmetry
More informationReconstructing the Supersymmetric Lagrangian
Reconstructing the Supersymmetric Lagrangian Michael Rauch (in collaboration with Rémi Lafaye, Tilman Plehn, Dirk Zerwas) arxiv:79.3985 [hep-ph] https://trac.lal.in2p3.fr/sfitter Michael Rauch SFitter:
More informationPheno family reunion, 4/2008
Stuff SFitter: Combining Stuff University of Edinburgh Pheno family reunion, 4/2008 Stuff Outline Phenomenology in the Underlying parameters ed SFitter Stuff Phenomenology in the All hopes on the LHC find
More informationGlobal (SUSY) Fits in 2012 (Frequentist Approach)
Global (SUSY) Fits in 2012 (Frequentist Approach) Oliver Buchmueller Imperial College London darkattack2012 1 Confronting a theory with data Recipe: Combine measurements Compare with predictions Constrain
More informationLHC More than just Discoveries. Tilman Plehn. SUSY parameters. Markov chains. SUSY maps. MPI für Physik & University of Edinburgh.
LHC More than MPI für Physik & University of Edinburgh Budapest, 6/27 Outline Weak Boson Fusion and Supersymmetry Supersymmetric parameter space SUSY parameter maps Weak Boson Fusion and Supersymmetry
More informationDark Matter Implications for SUSY
Dark Matter Implications for SUSY Sven Heinemeyer, IFCA (CSIC, Santander) Madrid, /. Introduction and motivation. The main idea 3. Some results 4. Future plans Sven Heinemeyer, First MultiDark workshop,
More informationSeminar IKTP, TU Dresden January 07, 2010
1 Predicting and understanding supersymmetry Peter Wienemann University of Bonn Work in collaboration with: Philip Bechtle (DESY), Klaus Desch and Mathias Uhlenbrock (U Bonn) Seminar IKTP, TU Dresden January
More informationLecture 18 - Beyond the Standard Model
Lecture 18 - Beyond the Standard Model Why is the Standard Model incomplete? Grand Unification Baryon and Lepton Number Violation More Higgs Bosons? Supersymmetry (SUSY) Experimental signatures for SUSY
More informationSupersymmetry at the ILC
Supersymmetry at the ILC Abdelhak DJOUADI (LPT Paris Sud). Introduction 2. High precision measurements 3. Determination of the SUSY lagrangian 4. Connection to cosmology 5. Conclusion For more details,
More informationAbdelhak DJOUADI (LPT Orsay/Next Southampton)
SUSY@ILC Abdelhak DJOUADI (LPT Orsay/Next Southampton) 1. Probing SUSY 2. Precision SUSY measurements at the ILC 3. Determining the SUSY Lagrangian 4. Summary From the physics chapter of the ILC Reference
More informationKaluza-Klein Theories - basic idea. Fig. from B. Greene, 00
Kaluza-Klein Theories - basic idea Fig. from B. Greene, 00 Kaluza-Klein Theories - basic idea mued mass spectrum Figure 3.2: (Taken from [46]). The full spectrum of the UED model at the first KK level,
More informationSUSY searches at the LHC * and Dark Matter
SUSY searches at the LHC * and Dark Matter Elisabetta Barberio ATL-PHYS-SLIDE-2009-025 26 February 2009 School of Physics The University of Melbourne/Australia Dark 2009: Seventh International Heidelberg
More information14th Lomonosov Conference on Elementary Particle Physics Moscow, 24 August 2009
M. Biglietti University of Rome Sapienza & INFN On behalf of the ATLAS Collaboration 1 14th Lomonosov Conference on Elementary Particle Physics Moscow, 24 August 2009 Theoretically favored candidates for
More informationEarly SUSY Searches in Events with Leptons with the ATLAS-Detector
Early SUSY Searches in Events with Leptons with the ATLAS-Detector Timo Müller Johannes Gutenberg-Universität Mainz 2010-29-09 EMG Annual Retreat 2010 Timo Müller (Universität Mainz) Early SUSY Searches
More informationModel Fitting in Particle Physics
Fits to Model Fitting in Particle Physics Matthew Dolan 1 1 DAMTP University of Cambridge High Throughput Computing in Science, 2008 Outline Fits to 1 2 3 Outline Fits to 1 2 3 Model Fits to Model of particle
More informationDiscovery potential for SUGRA/SUSY at CMS
Discovery potential for SUGRA/SUSY at CMS Stefano Villa, Université de Lausanne, April 14, 2003 (Based on talk given at SUGRA20, Boston, March 17-21, 2003) Many thanks to: Massimiliano Chiorboli, Filip
More informationIndirect constraints on the (C)MSSM parameter space
Indirect constraints on the (C)MSSM parameter space Frédéric Ronga ETH Zurich Switzerland CKM Workshop, Rome September 11, 2008 Contents 1 Introduction 2 Combining today s constraints 3 Prospects for LHC
More informationProbing Dark Matter at the LHC Alex Tapper
Probing Dark Matter at the LHC Alex Tapper 1 Outline The LHC and ATLAS and CMS detectors Detector performance and Standard Model physics Status of Dark Matter searches at the LHC MET based searches Long-lived
More informationBeyond the SM: SUSY. Marina Cobal University of Udine
Beyond the SM: SUSY Marina Cobal University of Udine Why the SM is not enough The gauge hierarchy problem Characteristic energy of the SM: M W ~100 GeV Characteristic energy scale of gravity: M P ~ 10
More informationYukawa and Gauge-Yukawa Unification
Miami 2010, Florida Bartol Research Institute Department Physics and Astronomy University of Delaware, USA in collaboration with Ilia Gogoladze, Rizwan Khalid, Shabbar Raza, Adeel Ajaib, Tong Li and Kai
More informationIdentifying the NMSSM by combined LHC-ILC analyses
Identifying the NMSSM by combined LHC-ILC analyses Stefan Hesselbach High Energy Physics, Uppsala University based on G. Moortgat-Pick, S. Hesselbach, F. Franke, H. Fraas, JHEP 06 (2005) 048 [hep-ph/0502036]
More informationSearches for Supersymmetry at ATLAS
Searches for Supersymmetry at ATLAS Renaud Brunelière Uni. Freiburg On behalf of the ATLAS Collaboration pp b b X candidate 2 b-tagged jets pt 52 GeV and 96 GeV E T 205 GeV, M CT (bb) 20 GeV Searches for
More informationPhysics at e + e - Linear Colliders. 4. Supersymmetric particles. M. E. Peskin March, 2002
Physics at e + e - Linear Colliders 4. Supersymmetric particles M. E. Peskin March, 2002 In this final lecture, I would like to discuss supersymmetry at the LC. Supersymmetry is not a part of the Standard
More informationSUSY Phenomenology & Experimental searches
SUSY Phenomenology & Experimental searches Slides available at: Alex Tapper http://www.hep.ph.ic.ac.uk/~tapper/lecture.html Objectives - Know what Supersymmetry (SUSY) is - Understand qualitatively the
More informationContributions by M. Peskin, E. Baltz, B. Sadoulet, T. Wizansky
Contributions by M. Peskin, E. Baltz, B. Sadoulet, T. Wizansky Dark Matter established as major component of the Universe: CMB determination of its relic density further confirmed by SNs and galaxy clusters;
More informationConstraints on SUSY parameters from present data
Constraints on SUSY parameters from present data Howard Baer Florida State University ILC-Cosmology working group MSSM Models of SUSY breaking Constraints WMAP allowed regions Non-universality Beyond the
More informationPhysics 662. Particle Physics Phenomenology. February 21, Physics 662, lecture 13 1
Physics 662 Particle Physics Phenomenology February 21, 2002 Physics 662, lecture 13 1 Physics Beyond the Standard Model Supersymmetry Grand Unified Theories: the SU(5) GUT Unification energy and weak
More informationDark Matter Experiments and Searches
Dark Matter Experiments and Searches R.J.Cashmore Principal Brasenose College,Oxford and Dept of Physics,Oxford R.Cashmore Dark Matter 3 1 Dark Matter at LHC R.Cashmore Dark Matter 3 2 Satellite view of
More informationSUSY Tools. Alexei Safonov (UC Davis) A. Safonov SUSY Tools SUSY WG summary meeting, August 25
SUSY Tools Alexei Safonov (UC Davis) 1 Means and Purposes Three-prong task: Monte Carlo event generating tools suitable for data analysis and phenomenological projections given a model SUSY mass spectra,
More informationSearch for Supersymmetry at LHC
Horváth Dezső: SUSY Search at LHC PBAR-11, Matsue, 2011.11.29 p. 1/40 Search for Supersymmetry at LHC PBAR-11, Matsue, 2011.11.29 Dezső Horváth KFKI Research Institute for Particle and Nuclear Physics,
More informationKarlsruhe, 12/2006. New Methods for New Physics. Tilman Plehn. Supersymmetry. LHC Signals. Masses. Spins. Parameters. Some ideas
New Methods MPI für Physik & University of Edinburgh Karlsruhe, 12/26 Outline TeV scale supersymmetry Supersymmetric signatures at LHC New physics mass measurements New physics spin measurements Supersymmetric
More informationSearch for SUperSYmmetry SUSY
PART 3 Search for SUperSYmmetry SUSY SUPERSYMMETRY Symmetry between fermions (matter) and bosons (forces) for each particle p with spin s, there exists a SUSY partner p~ with spin s-1/2. q ~ g (s=1)
More informationSUSY Searches at CMS in the Fully Hadronic Channel
SUSY Searches at CMS in the Fully Hadronic Channel Project B2 - Supersymmetry at the Large Hadron Collider Christian Autermann, Sergei Bobrovskyi, Ulla Gebbert, Kolja Kaschube, Friederike Nowak, Benedikt
More informationSUSY Models, Dark Matter and the LHC. Bhaskar Dutta Texas A&M University
SUSY odels, Dark atter and the LHC Bhaskar Dutta Texas A& University 11/7/11 Bethe Forum 11 1 Discovery Time We are about to enter into an era of major discovery Dark atter: we need new particles to explain
More informationSUSY Candidates. Talk outline. Ben Allanach (University of Cambridge) SUSY dark matter: generalities Neutralino Gravitino Sneutrino Axino
SUSY Candidates by Ben Allanach (University of Cambridge) Talk outline SUSY dark matter: generalities Neutralino Gravitino Sneutrino Axino SUSY Candidates Please ask questions while I m talking B.C. Allanach
More informationHadronic Search for SUSY with MT2 variable
Hadronic Search for SUSY with MT2 variable Esmaeel Eskandari on behalf of the CMS Collaboration School of Particles & Accelerators, Institute for Research in Fundamental Sciences (IPM) The 2nd IPM Meeting
More informationSUSY at Accelerators (other than the LHC)
SUSY at Accelerators (other than the LHC) Beate Heinemann, University of Liverpool Introduction Final LEP Results First Tevatron Run 2 Results Summary and Outlook IDM 2004, Edinburgh, September 2004 Why
More informationHow high could SUSY go?
How high could SUSY go? Luc Darmé LPTHE (Paris), UPMC November 24, 2015 Based on works realised in collaboration with K. Benakli, M. Goodsell and P. Slavich (1312.5220, 1508.02534 and 1511.02044) Introduction
More informationStudy of supersymmetric tau final states with Atlas at LHC: discovery prospects and endpoint determination
Study of supersymmetric tau final states with Atlas at LHC: discovery prospects and endpoint determination University of Bonn Outlook: supersymmetry: overview and signal LHC and ATLAS invariant mass distribution
More informationSearches at LEP. Ivo van Vulpen CERN. On behalf of the LEP collaborations. Moriond Electroweak 2004
Searches at LEP Moriond Electroweak 2004 Ivo van Vulpen CERN On behalf of the LEP collaborations LEP and the LEP data LEP: e + e - collider at s m Z (LEP1) and s = 130-209 GeV (LEP2) Most results (95%
More informationSUPERSYMMETRY AT THE LHC
SUPERSYMMETRY AT THE LHC Tilman Plehn MPI München and University of Edinburgh A few MSSM conventions SUSY-Higgs at the LHC SUSY at the Tevatron SUSY searches at the LHC SUSY measurements at the LHC (and
More informationLHC and Dark Matter 07/23/10. Bhaskar Dutta Texas A&M University
LHC and Dark atter 7/3/ Bhaskar Dutta Texas A& University Discovery Time We are about to enter into an era of major discovery Dark atter: we need new particles to explain the content of the universe Standard
More informationCharged Higgs in view of the LHC constraints in phenomenological MSSM
Charged Higgs in view of the LHC constraints in phenomenological MSSM CERN Theory Division, CH-1211 Geneva 23, Switzerland Clermont Université, Université Blaise Pascal, CNRS/IN2P3, LPC, BP 10448, F-63000
More informationEmerging the 7 TeV LHC & the LC
Emerging BSM @ the 7 TeV LHC & the LC T.G. Rizzo 03/16/11 THE QUESTIONS: How is electroweak symmetry broken? How is the hierarchy stabilized? What is the origin of flavor? Are there more than 4 dimensions?
More informationProbing Supersymmetric Connection with Dark Matter
From サイエンス 82 Probing Supersymmetric Connection with Dark Matter Taken from Science, 1982 Teruki Kamon Department of Physics Texas A&M University November 3, 2005 Physics Colloquium, Texas Tech University
More informationPerspectives for Particle Physics beyond the Standard Model
Perspectives for Particle Physics beyond the Standard Model What is the Higgs boson trying to tell us? Is supersymmetry waiting? Can LHC Run 2 find it? What if X(750) exists? John Ellis Higgs Champagne
More informationSUSY at Accelerators (other than the LHC)
SUSY at Accelerators (other than the LHC) Beate Heinemann, University of Liverpool Introduction Final LEP Results First Tevatron Run 2 Results Summary and Outlook IDM 2004, Edinburgh, September 2004 Why
More informationConstrained Supersymmetry after the Higgs Boson Discovery: A global analysis with FITTINO
BONN-TH-213-19 Constrained Supersymmetry after the Higgs Boson Discovery: A global analysis with FITTINO Philip Bechtle, Klaus Desch, Björn Sarrazin, Mathias Uhlenbrock, Peter Wienemann Physikalisches
More informationSearch for Supersymmetry at CMS in all-hadronic final states
Search for Supersymmetry at CMS in all-hadronic final states The 9th Particles and Nuclei International Conference, MIT Matthias Schröder (Universität Hamburg) on behalf of the CMS Collaboration 5 July
More informationSven Heinemeyer GK Seminar, University of Freiburg,
Sven Heinemeyer GK Seminar, University of Freiburg, 09.02.2017 1 SUSY and its Higgs Bosons at the LHC Sven Heinemeyer, IFT/IFCA (CSIC, Madrid/Santander) Freiburg, 02/2017 Motivation SUSY after LHC Run
More informationSEARCHES FOR THE NEUTRAL HIGGS BOSONS OF THE MSSM
SEARCHES FOR THE NEUTRAL HIGGS BOSONS OF THE MSSM USING LEP DATA Elizabeth Locci SPP/DAPNIA Saclay Representing LEP Collaborations 1 Outline LEP performance Theoretical framework Search for neutral Higgs
More informationPhysics Beyond the. Texas A&M University. For the. Mini-Symposium May, 2009
Physics Beyond the Standard Model David Toback Texas A&M University For the David Toback, Texas CDF A&M and University DØ collaborations 1 Mini-Symposia on Searches Exciting New Search Results from the
More informationSzuperszimmetria keresése az LHC-nál
Horváth Dezső: Szuperszimmetria keresése Debrecen, 2011.06.16 1. fólia p. 1/37 Szuperszimmetria keresése az LHC-nál ATOMKI-szeminárium, Debrecen, 2011.06.16 Horváth Dezső MTA KFKI RMKI, Budapest és MTA
More informationTilman Plehn. Dresden, 4/2009
New Physics at the Universität Heidelberg Dresden, 4/2009 Outline The Large Hadron Collider: starting Summer 20XX The Large Hadron Collider: starting Summer 20XX Einstein: beam energy to particle mass
More informationSupersymmetry Basics. J. Hewett SSI J. Hewett
Supersymmetry Basics J. Hewett SSI 2012 J. Hewett Basic SUSY References A Supersymmetry Primer, Steve Martin hep-ph/9709356 Theory and Phenomenology of Sparticles, Manual Drees, Rohini Godbole, Probir
More informationSUSY searches at LHC and HL-LHC perspectives
SUSY searches at LHC and HL-LHC perspectives Maximilian Goblirsch-Kolb, on behalf of the ATLAS and CMS collaborations 26.10.2017, LCWS 2017, Strasbourg SUSY particle production in p-p collisions Two main
More informationDetecting Higgs Bosons within Supersymmetric Models
Detecting Higgs Bosons within Supersymmetric Models Yili Wang University of Oklahoma C. Kao and Y. Wang, Phys. Lett. B 635, 3 (26) 1 Outlook of the Talk MSSM has two Higgs doulets. After symmetry reaking,
More informationSupersymmetric Seesaws
Supersymmetric Seesaws M. Hirsch mahirsch@ific.uv.es Astroparticle and High Energy Physics Group Instituto de Fisica Corpuscular - CSIC Universidad de Valencia Valencia - Spain Thanks to: J. Esteves, S.
More informationInterconnection between Particle Physics and Cosmology at the LHC
Interconnection between Particle Physics and Cosmology at the LHC Selections from the Cosmo Secret Cube Catalogue Transformer Cube Standard Model Cube PPC Cube Premiere Props Teruki Kamon Mitchell Institute
More informationProbing the Connection Between Supersymmetry and Dark Matter
Probing the Connection Between Supersymmetry and Dark Matter Bhaskar Dutta Texas A&M University Physics Colloquium, OSU, March 30, 2006 March 30, 2006 Probing the Connection Between SUSY and Dark Matter
More informationLHC+LC Synergy: SUSY as a case study
LHC+LC Synergy: SUSY as a case study εργον συν work together Outline: Why LHC/LC studies? Why SUSY as case study? 5 Examples of Synergy Conclusions Klaus Desch University of Hamburg ALCPG meeting - SLAC
More informationTilman Plehn. Mainz 2/2009
Once we have all Heidelberg Mainz 2/29 Outline Effective Standard Model from cascades Interlude: and jets Interlude: spins from jets Underlying parameters TeV-scale MSSM: Effective Standard Model Data
More informationSupersymmetry at the LHC
Supersymmetry at the LHC Georg Weiglein IPPP Durham Heidelberg, 08/2007 Introduction Properties of SUSY theories What is the scale of Supersymmetry? SUSY Higgs physics at the LHC SUSY processes at the
More informationChapter 4 Supersymmetry
Chapter 4 Supersymmetry Contents 4.1 Introduction... 68 4. Difficulties in the standard model... 68 4.3 Minimal Supersymmetric Standard Model... 69 4.3.1 SUSY... 69 4.3. Reasons to introduce SUSY... 69
More informationHiggs Signals and Implications for MSSM
Higgs Signals and Implications for MSSM Shaaban Khalil Center for Theoretical Physics Zewail City of Science and Technology SM Higgs at the LHC In the SM there is a single neutral Higgs boson, a weak isospin
More informationSUSY and Exotica. Talk outline. Ben Allanach (University of Cambridge)
SUSY and Exotica by Ben Allanach (University of Cambridge) Talk outline SUSY Fits Impact of LHC data SUSY Tactics Exotica and A FB (t t) Please ask questions while I m talking SUSY and Exotica B.C. Allanach
More informationLHC Impact on DM searches
LHC Impact on DM searches Complementarity between collider and direct searches for DM Outline Introduction (complementarity of DM searches) Dark Matter signals at the LHC (missing ET, jets, etc... ) Particular
More informationPhenomenology of new neutral gauge bosons in an extended MSSM
Phenomenology of new neutral gauge bosons in an extended MSSM Gennaro Corcella 1, Simonetta Gentile 2 1. Laboratori Nazionali di Frascati, INFN 2. Università di oma, La Sapienza, INFN Outline Motivation
More informationMeasuring Relic Density at the LHC
easuring Relic Density at the LHC Bhaskar Dutta Collaborators R. Arnowitt, A. Gurrola, T. Kamon, A. Krislock, D. Toback Texas A& University 7 th July 8 easuring Relic Density at the LHC OUTLINE Dark atter
More informationProbing SUSY Contributions to Muon g-2 at LHC and ILC
Probing SUSY Contributions to Muon g-2 at LHC and ILC Motoi Endo (Tokyo) Based on papers in collaborations with ME, Hamaguchi, Iwamoto, Yoshinaga ME, Hamaguchi, Kitahara, Yoshinaga ME, Hamaguchi, Iwamoto,
More informationThe study of the properties of the extended Higgs boson sector within hmssm model
The study of the properties of the extended Higgs boson sector within hmssm model T.V. Obikhod, E.A. Petrenko Institute for Nuclear Research, National Academy of Science of Ukraine 47, prosp. Nauki, Kiev,
More informationLecture 4 - Beyond the Standard Model (SUSY)
Lecture 4 - Beyond the Standard Model (SUSY) Christopher S. Hill University of Bristol Warwick Flavour ++ Week April 11-15, 2008 Recall the Hierarchy Problem In order to avoid the significant finetuning
More informationLHC signals for SUSY discovery and measurements
06 March 2009 ATL-PHYS-SLIDE-2009-038 LHC signals for SUSY discovery and measurements Vasiliki A. Mitsou (for the ATLAS and CMS Collaborations) IFIC Valencia PROMETEO I: LHC physics and cosmology 2-6 March,
More informationThe search for missing energy events at the LHC and implications for dark matter search (ATLAS and CMS)
The search for missing energy events at the LHC and implications for dark matter search (ATLAS and CMS) Valery P. Andreev UCLA representing the CMS collaboration th UCLA Symposium on Sources and Detection
More informationPseudo-Dirac Bino as Dark Matter and Signatures of D-Type G
and Signatures of D-Type Gauge Mediation Ken Hsieh Michigan State Univeristy KH, Ph. D. Thesis (2007) ArXiv:0708.3970 [hep-ph] Other works with M. Luty and Y. Cai (to appear) MSU HEP Seminar November 6,
More informationBSM at the LHC. Dirk Zerwas LAL Orsay
BSM at the LHC Dirk Zerwas LAL Orsay Lecture I: LHC and the Detectors Standard Model Lecture II: The standard model Higgs boson The supersymmetric Higgs bosons Lecture III: Supersymmetry Exotics Supersymmetry
More informationSearches for Beyond SM Physics with ATLAS and CMS
Searches for Beyond SM Physics with ATLAS and CMS (University of Liverpool) on behalf of the ATLAS and CMS collaborations 1 Why beyond SM? In 2012 the Standard Model of Particle Physics (SM) particle content
More informationSUSY scans and dark matter
SUSY scans and dark matter Pat Scott Oskar Klein Centre for Cosmoparticle Physics & Department of Physics, Stockholm University May 27 2010 Mostly based on: JCAP 1001:031 (2010; arxiv:0909.3300) JHEP 1004:057
More informationMagnetic moment (g 2) µ and new physics
Dresden Lepton Moments, July 2010 Introduction A 3σ deviation for a exp µ a SM µ has been established! Currently: a exp µ a SM µ = (255 ± 63 ± 49) 10 11 Expected with new Fermilab exp. (and th. progress):
More informationSUSY Phenomenology & Experimental searches
SUSY Phenomenology & Experimental searches Alex Tapper Slides available at: http://www.hep.ph.ic.ac.uk/tapper/lecture.html Reminder Supersymmetry is a theory which postulates a new symmetry between fermions
More informationDark Matter WIMP and SuperWIMP
Dark Matter WIMP and SuperWIMP Shufang Su U. of Arizona S. Su Dark Matters Outline Dark matter evidence New physics and dark matter WIMP candidates: neutralino LSP in MSSM direct/indirect DM searches,
More informationGlobal Fits - Bayesian
Dark Attack Global Fits - Bayesian Roberto Ruiz de Austri IFIC (Valencia) 2 Outline Why SUSY inference in Bayesian sense? How is this done? cmssm: case study Complementarity of LHC and DM Direct Detection
More informationSupersymmetry at the LHC
Supersymmetry at the LHC Howard Baer Florida State University SUSY at LHC SUSY models GEANT figure sparticle production msugra : ~ g - W + b ( jet4, s ( jet5, ~+ ( jet3, W2 + b ~+ W1 + Z ~ Z1 + event generation
More informationSupersymmetry Without Prejudice at the LHC
Supersymmetry Without Prejudice at the LHC Conley, Gainer, JLH, Le, Rizzo arxiv:1005.asap J. Hewett, 10 09 Supersymmetry With or Without Prejudice? The Minimal Supersymmetric Standard Model has ~120 parameters
More informationIntroduction to SUSY. Giacomo Polesello. INFN, Sezione di Pavia
. Introduction to SUSY Giacomo Polesello INFN, Sezione di Pavia Why physics beyond the Standard Model? Gravity is not yet incorporated in the Standard Model Hierarchy/Naturalness problem Standard Model
More informationarxiv:hep-ex/ v1 30 Sep 1997
CMS CR 997/0 SEARCHES FOR SUSY AT LHC arxiv:hep-ex/970903v 30 Sep 997 For the CMS Collaboration Avtandyl Kharchilava Institute of Physics, Georgian Academy of Sciences, Tbilisi ABSTRACT One of the main
More informationarxiv: v1 [hep-ph] 29 Dec 2017 SUSY (ATLAS) André Sopczak on behalf of the ATLAS Collaboration
arxiv:1712.10165v1 [hep-ph] 29 Dec 2017 SUSY (ATLAS) André Sopczak on behalf of the ATLAS Collaboration Institute of Experimental and Applied Physics, Czech Technical University in Prague, Czech Republic
More informationTesting the Standard Model and Search for New Physics with CMS at LHC
Dezső Horváth: Search for New Physics with CMS FFK2017, Warsaw, Poland p. 1 Testing the Standard Model and Search for New Physics with CMS at LHC FFK-2017: International Conference on Precision Physics
More informationAstroparticle Physics and the LC
Astroparticle Physics and the LC Manuel Drees Bonn University Astroparticle Physics p. 1/32 Contents 1) Introduction: A brief history of the universe Astroparticle Physics p. 2/32 Contents 1) Introduction:
More informationProspects for Future Collider Physics
Prospects for Future Collider Physics What is the Higgs boson trying to tell us? Is supersymmetry waiting? Can LHC Run 2 find it? What if X(750) exists? Sphalerons? John Ellis One thing we have! Higgs
More informationTheoretical Developments Beyond the Standard Model
Theoretical Developments Beyond the Standard Model by Ben Allanach (DAMTP, Cambridge University) Talk outline Bestiary of some relevant models SUSY dark matter Spins and alternatives B.C. Allanach p.1/18
More informationReport on the LHC2FC workshop (From the LHC to Future Colliders)
Report on the LHC2FC workshop (From the LHC to Future Colliders) Sven Heinemeyer, IFCA (CSIC, Santander) Barcelona, 05/2009 Sven Heinemeyer, Spain for the ILC, Barcelona, 08.05.2009 1 What can we learn
More informationDM & SUSY Direct Search at ILC. Tomohiko Tanabe (U. Tokyo) December 8, 2015 Tokusui Workshop 2015, KEK
& SUSY Direct Search at ILC Tomohiko Tanabe (U. Tokyo) December 8, 2015 Tokusui Workshop 2015, KEK Contents The ILC has access to new physics via: Precision Higgs measurements Precision top measurements
More informationUnified Dark Matter. SUSY2014 Stephen J. Lonsdale. The University of Melbourne. In collaboration with R.R. Volkas. arxiv:
arxiv:1407.4192 Unified Dark Matter SUSY2014 Stephen J. Lonsdale The University of Melbourne In collaboration with R.R. Volkas Unified Dark Matter Motivation: Asymmetric dark matter models Asymmetric symmetry
More informationOutline: Introduction Search for new Physics Model driven Signature based General searches. Search for new Physics at CDF
PE SU Outline: Introduction Search for new Physics Model driven Signature based General searches R Search for new Physics at CDF SUperSYmmetry Standard Model is theoretically incomplete SUSY: spin-based
More informationSFB project B1: Jenny List DESY - Hamburg SFB Kolloquium Physics beyond the Standard Model at the ILC:
SFB project B1: Physics beyond the Standard Model at the ILC Contents: Jenny List DESY - Hamburg SFB Kolloquium 26.10.2006 A few words to introduce myself Physics beyond the Standard Model at the ILC:
More informationProbing SUSY Dark Matter at the LHC
Probing SUSY Dark Matter at the LHC Kechen Wang Mitchell Institute for Fundamental Physics and Astronomy Texas A&M University Preliminary Examination, Feb, 24 OUTLINE Supersymmetry dark matter (DM) Relic
More information