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\author{ {\fontspec{Trebuchet MS}Marcin Chrz\k{a}szcz} (Universit\"{a}t Z\"{u}rich, IFJ PAN)}
\institute{UZH}
\title[Flavbit, Gambit module for Flavour Physics ]{Flavbit, Gambit module for Flavour Physics }
\date{23 May 2016}
\begin{document}
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\begin{center}
\begin{center}
\begin{columns}
\begin{column}{0.75\textwidth}
\flushright\fontspec{Trebuchet MS}\bfseries \Huge {Flavbit, Gambit module for Flavour Physics}
\end{column}
\begin{column}{0.02\textwidth}
{~}
\end{column}
\begin{column}{0.23\textwidth}
% \hspace*{-1.cm}
\vspace*{-3mm}
\includegraphics[width=0.85\textwidth]{Logo2full.pdf}
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\quad
\vspace{3em}
\begin{columns}
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\flushright \vspace{-1.8em} {\fontspec{Trebuchet MS} \Large Marcin Chrząszcz\\\vspace{-0.1em}\small \href{mailto:mchrzasz@cern.ch}{mchrzasz@cern.ch}}
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\vspace{1em}
\footnotesize\textcolor{gray}{Universit\"{a}t Z\"{u}rich, \\ Institute of Nuclear Physics, Polish Academy of Science}\normalsize\\
\vspace{0.5em}
\textcolor{normal text.fg!50!Comment}{B2TiP workshop, Pittsburgh \\May 23, 2016}
\end{center}
\end{frame}
}
\begin{frame}
\frametitle{\textbf{How to find BSM?}}
\ARROW There is no shortage of BSM models!
\begin{itemize}
\item Take either ''top-down'' or ''bottom-up'' approach.
\item We all have our favourites ;)
\end{itemize}
\pause
\ARROW Any BSM can show up in lots of places:
\begin{itemize}
\item Flavour Physics.
\item Higgs and supersymmetry searches at the LHC and its predecessors.
\item Measurements of the magnetic moment of the muon.
\item Beam dump/fixed target (NA62, SHIP,...).
\item Electroweak precision tests.
\item Dark matter.
\item Neutrino mixing.
\item Gamma ray searches (e.g. FERMI-LAT, HESS, CTA, etc)
\item Radio data.
\item etc.
\end{itemize}
\end{frame}
\begin{frame}
\frametitle{\textbf{This begs the question... }}
\ARROW How to combine results from all relevant experimental searches?\\
\ARROW This is straightforward for models with few parameters:
\begin{itemize}
\item Overlay exclusion curves from different experiments/measurements.
\item Look for ''excluded'' and ''non-excluded regions''
\end{itemize}
\includegraphics[width=0.5\textwidth]{images/Darkphoton.png}
\end{frame}
\begin{frame}
\begin{huge}
What if there are many parameters?
\end{huge}\\
\pause
\begin{huge}
What if there are many constraints?
\end{huge}\\
\pause
\ARROW Much harder:\\
\ARROWR Scan the space (need very smart methods for a large number of parameters).\\
\ARROWR Interpret the results (Bayesian/frequentist).\\
\ARROWR Project down to parameters of interest (marginalise/profile)\\
{~}\\
\begin{huge}
Need a global fitting code!
\end{huge}
\end{frame}
\begin{frame} \frametitle{Existing fitting codes}
\begin{columns}
\column{3in}
\begin{center}
\includegraphics[width=0.95\textwidth]{images/others.png}
\end{center}
\column{2in}
\begin{itemize}
\item Strongly wedded to a few theories (e.g. constrained MSSM / mSUGRA).
\item Strongly wedded to a few theory calculators.
\item All datasets and observables basically hardcoded.
\item Rough or non-existent treatment of most experiments (astroparticle + collider especially).
\item Sub-optimal statistical methods / search algorithms.
\item Not all codes are publicly available!
\end{itemize}
\end{columns}
\end{frame}
\begin{frame} \frametitle{I had a dream...}
\begin{center}
\includegraphics[width=0.99\textwidth]{images/lag.png}
\end{center}
\ARROW Recent years have seen an explosion of tools that make study of user-defined Lagrangians easier.\\
~~~~\ARROWR e.g. Feynrules $\to$ Madgraph interface, CalcHEP interface to Micromegas, MadDM, automated NLO calculations through Madgraph/NLOCT + much, much more.\\
\ARROW The global fit world has not kept up with this.\\
~~~~\ARROWR Most people hard-code their own solution for each particular study\\
\ARROW Several innovations are need to rectify this:\\
~~~~\ARROWR How do we store model parameters in a sufficiently abstract way?\\
~~~~\ARROWR How do we tie disparate codes together?\\
~~~~\ARROWR How do we make LHC and other constraints model independent?\\
\end{frame}
\begin{frame}
\frametitle{\textbf{GAMBIT}: a \textit{second-generation} global fit code}
GAMBIT: The \alert{G}lobal \alert{A}nd \alert{M}odular \alert{B}SM \alert{I}nference \alert{T}ool
\vspace{5mm}
Overriding principles of GAMBIT: flexibility and modularity
\begin{itemize}
\item General enough to allow fast definition of new datasets and theoretical models
\item Plug and play scanning, physics and likelihood packages
\item Extensive model database -- not just small modifications to constrained MSSM (NUHM, etc), and not just SUSY!
\item Extensive observable/data libraries (likelihood modules)
\item Many statistical options -- Bayesian/frequentist, likelihood definitions, scanning algorithms
\item A smart and \textit{fast} LHC likelihood calculator
\item Massively parallel
\item Full open-source code release
\end{itemize}
\end{frame}
\begin{frame}
\frametitle{The GAMBIT Collaboration}
\begin{columns}
\column{0.7\textwidth}
30 Members, 17 institutions, 10 countries,
11 Experiments, 4 major theory codes\\ \vspace{2mm}
\scriptsize
\begin{tabular}{l l}
\textbf{ATLAS} & A.\ Buckley, P.\ Jackson, C.\ Rogan,\\
& M.\ White, \vspace{0.5mm}\\
\textbf{LHCb} & M.\ Chrzaszcz, N.\ Serra\vspace{0.5mm}\\
\textbf{Fermi-LAT} & J.\ Conrad, J.\ Edsj\"o, G.\ Martinez\\
& P.\ Scott\vspace{0.5mm}\\
\textbf{CTA} & C. Bal\'azs, T.\ Bringmann, \\
& J.\ Conrad, M.\ White\vspace{0.5mm}\\
\textbf{HESS} & J.\ Conrad \vspace{0.5mm}\\
\textbf{IceCube} & J.\ Edsj\"o, P.\ Scott\vspace{0.5mm}\\
\textbf{AMS-02} & A.\ Putze\vspace{0.5mm}\\
\textbf{CDMS, DM-ICE} & L. Hsu\vspace{0.5mm}\\
\textbf{XENON/DARWIN} & J.\ Conrad\vspace{0.5mm}\\
\textbf{Theory} & P.\ Athron, C. Bal\'azs, T.\ Bringmann, \\
& J.\ Cornell, J.\ Edsj\"o, B.\ Farmer,\\
& A.\ Krislock, A.\ Kvellestad, M.\ Pato, \\
& F.\ Mahmoudi, A.\ Raklev, P.\ Scott,\\
& C.\ Weniger, M.\ White \\
\end{tabular}\vspace{2mm}
\column{0.4\textwidth}
\vspace{-15mm}
\includegraphics[width=\linewidth]{images/Logo2full}\\\vspace{3mm}
\includegraphics[width=\linewidth]{images/GroupPhoto}
\end{columns}
\scriptsize
\cgrey{+recently joined: T. Gonzales, F. Kahlhoefer, J. McKay, R. Ruiz, R. Trotta}\\
\cgrey{-recently retired: L.\ Dal, A.\ Saavedra, C.\ Savage}
\end{frame}
\begin{frame}
\frametitle{Modules}
\textbf{Physics modules}
\begin{itemize}
\corange{\item DarkBit} -- dark matter observables (relic density, direct + indirect detection)
\corange{\item ColliderBit} -- collider observables inc. Higgs + SUSY searches from ATLAS, CMS + LEP
\corange{\item FlavBit} -- flavour physics inc. $g-2$, $b\rightarrow s\gamma$, $B$ decays (new channels, angular obs., theory uncerts, LHCb likelihoods)
\corange{\item SpecBit} -- generic BSM spectrum object, providing RGE running, masses, mixings, etc via interchangeable interfaces to different RGE codes
\corange{\item DecayBit} -- decay widths for all relevant SM \& BSM particles
\corange{\item PrecisionBit} -- SM likelihoods, precision BSM tests ($W$ mass, $\Delta\rho$ etc)
\end{itemize}
Each consists of a number of \textbf{module functions} that can have \textbf{dependencies} on each other\\\vspace{1mm}
+\corange{ScannerBit}: manages stats, sampling and optimisation
\end{frame}
\begin{frame}
\frametitle{Backends: mix and match}
\begin{itemize}
\item Module functions can require specific functions from \textbf{backends}
\item Backends are external code libraries (DarkSUSY, FeynHiggs, etc) that include different functions
\item GAMBIT automates and abstracts the interfaces to backends $\rightarrow$ backend functions are tagged according to \alert{what they calculate}
\item $\rightarrow$ with appropriate module design, \alert{different backends and their functions can be used interchangeably}
\item GAMBIT dynamically adapts to use whichever backends are actually present on a user's system (+ provides details of what it decided to do of course)
\end{itemize}
\end{frame}
\begin{frame}
\frametitle{Backends: mix and match}
\begin{columns}[t]
\column{1.2\textwidth}
\includegraphics[width=\linewidth]{backends}
\end{columns}
\end{frame}
\begin{frame}
\frametitle{Dependency Resolution}
\includegraphics[width=\textwidth]{CMSSM_active_functor_graph}
\begin{itemize}
\item Module functions and backend functions get arranged into a \textbf{dependency tree}
\item Starting with requested observables and likelihoods, GAMBIT fills each dependency and backend requirement
\item Obeys \textbf{rules} at each step: allowed models, allowed backends, constraints from input file, etc
\item $\rightarrow$ tree constitutes a directed acyclic graph
\item $\rightarrow$ GAMBIT uses graph-theoretic methods to `solve' the graph to determine function evaluation order
\end{itemize}
\end{frame}
\begin{frame}
\frametitle{Dependency Resolution}
\begin{columns}[t]
\column{1.1\textwidth}
\footnotesize CMSSM:\\
\only<1>{\includegraphics[width=\textwidth]{images/CMSSM_active_functor_graph}}%
\only<2>{\includegraphics[width=\textwidth]{images/CMSSM_active_functor_graph_1}}%
\only<3>{\includegraphics[width=\textwidth]{images/CMSSM_active_functor_graph_2}}%
\only<4>{\includegraphics[width=\textwidth]{images/CMSSM_active_functor_graph_3}}%
\only<5>{\includegraphics[width=\textwidth]{images/CMSSM_active_functor_graph_4}}%
\only<6>{\includegraphics[width=\textwidth]{images/CMSSM_active_functor_graph_5}}%
\only<7>{\includegraphics[width=\textwidth]{images/CMSSM_active_functor_graph_6}}%
\only<8>{\includegraphics[width=\textwidth]{images/CMSSM_active_functor_graph_7}}%
\footnotesize MSSM7:\\
\only<1>{\includegraphics[width=\textwidth]{images/MSSM7_active_functor_graph}}%
\only<2>{\includegraphics[width=\textwidth]{images/MSSM7_active_functor_graph_1}}%
\only<3>{\includegraphics[width=\textwidth]{images/MSSM7_active_functor_graph_2}}%
\only<4>{\includegraphics[width=\textwidth]{images/MSSM7_active_functor_graph_3}}%
\only<5>{\includegraphics[width=\textwidth]{images/MSSM7_active_functor_graph_4}}%
\only<6>{\includegraphics[width=\textwidth]{images/MSSM7_active_functor_graph_5}}%
\only<7>{\includegraphics[width=\textwidth]{images/MSSM7_active_functor_graph_6}}%
\only<8>{\includegraphics[width=\textwidth]{images/MSSM7_active_functor_graph_7}}%
\end{columns}
\footnotesize
\visible<2->{\alert{Red: Model parameter translations}}\\
\visible<3->{\cblue{Blue: Precision calculations}}\\
\visible<4->{\cgreen{Green: LEP rates+likelihoods}}\\
\visible<5->{\cpurple{Purple: Decays}}\\
\visible<6->{\corange{Orange: LHC observables and likelihoods}}\\
\visible<7->{\cgrey{Grey: DM direct, indirect and relic density}}\\
\visible<8->{\cpink{Pink: Flavour physics}}
\end{frame}
\begin{frame}
\frametitle{Preliminary results: scalar singlet model}
{
\centering}
\includegraphics[width=0.8\linewidth]{images/SS_prelim}
\begin{textblock}{100}(10,75)
\visible<1>
{
$\mathcal{L}_S = -\frac{\mu_S^2}{2}S^2 - \frac{\lambda_{hs}}{2}S^2H^\dagger H + \ldots$
}
\end{textblock}
\end{frame}
\begin{frame}
\frametitle{Preliminary results: SUSY (CMSSM -- \textit{example only})}
\begin{columns}
\column{1.15\linewidth}
\includegraphics[height=0.425\linewidth]{images/plot_CMSSM_11_combo1D_CMSSM_MN_noLHC}\hspace{1mm}
\includegraphics[height=0.425\linewidth]{images/plot_CMSSM_11_27_post2D_CMSSM_MN_noLHC}%
\end{columns}
\begin{textblock}{100}(10,75)
\visible<1>
{
\raggedright \textbf{11 parameters}: $\mathbf{4} \times \mathsf{CMSSM} + \mathbf{6} \times \mathsf{SM\ nuisances} + \mathbf{1} \times \mathsf{astro\ nuis.} (\rho_{\chi,\mathrm{local}})$
}
\end{textblock}
\end{frame}
\begin{frame}
\frametitle{\textbf{Flavbit} - solution to flavour fits!}
\begin{center}
\includegraphics[width=\textwidth]{images/MSSM7_active_functor_graph_7}
\end{center}
\pause
\ARROW Flavour is a prime example where we need global fits!\\
\begin{center}
\includegraphics[width=0.75\textwidth]{images/NP.png}
\end{center}
\end{frame}
\begin{frame}
\frametitle{Quo vadis Flavour physics?}
\begin{center}
\includegraphics[width=0.9\textwidth]{images/criv.png}
\end{center}
\begin{small}
\ARROW Stolen from A.Criveling, {\it Higgs and Flavour workshop}, Benasque 2016.
\end{small}
\end{frame}
\begin{frame}
\frametitle{What does Gambit have in terms of flavour}
\ARROW We really like the anomalies:
\begin{itemize}
\item $\Pbeauty \to \Pstrange \ell \ell$ inside:
\begin{itemize}
\item Angular $\PBd \to \PKstar \Pmu \Pmu$, $\PBs \to \Pphi \Pmu \Pmu$.
\item Branching fractions: $\PB \to \PKstar^{\pm,0} \Pmu \Pmu$,
\item Branching fractions: $\PB \to X_s \ell \ell$.
\item Zero cross points for angular observables.
\end{itemize}
\item $\PB_{s,d} \to \Pmu \Pmu$
\item Semileptonic:
\begin{itemize}
\item $\PB \to \PD \ell \nu$, $\ell=\tau,~\mu~,\Pe$, $\PD=\PDs \PDstar, \PD$
\item $\PB \to \PK/\Ppi \ell \nu$, $\ell=\tau,~\mu~,\Pe$
\item $\PB \to \ell \nu$, $\ell=\tau,~\mu$
\item $(g-2)_{\mu}$.
\end{itemize}
\end{itemize}
\ARROW We are covering the main anomalies in the Flavour physics!
\end{frame}
\begin{frame}
\frametitle{Quo Vadis Flavbit?}
\ARROW In summer the Gambit code will be made public.\\
\ARROW The SUSY scans: CMSSM, MSSM7 etc. will be published.\\
{~}\\{~}\\
\ARROW We are changing orientation a bit:\\
{~}{~}\ARROWR Put less pressure on SUSY scans.\\
{~}{~}\ARROWR Focus on EFT.\\
{~}{~}\ARROWR Leptoquarks.\\
{~}{~}\ARROWR 3HDM, 2HDM.\\
\ARROW In terms of observables:\\
{~}{~}\ARROWR Add kaon physics! There is $2.9~\sigma$ in $\frac{\epsilon^{\prime}}{\epsilon}$.\\
{~}{~}\ARROWR Add CP observables + averages!
\end{frame}
\begin{frame}
\frametitle{Summary}
\ARROW Gambit \texttt{V1} is ready and will be realest for public in $\sim$ summer. We can circulate a private version of the code now if needed for B2TiP activities.\\
\ARROW If the $\gamma \gamma$ access goes away the Flavour will be the leader in NP ''Hunger Games'.\\
\ARROW Only a consistent picture will convince the community that we found NP!\\
\ARROW Let the games begin!
\begin{center}
\includegraphics[width=0.6\textwidth]{images/hunger.png}
\end{center}
\end{frame}
\backupbegin
\begin{frame}\frametitle{Backup}
\topline
\end{frame}
\backupend
\end{document}
mchrzasz