CERN Accelerating science

Mass distribution of \bujpsik candidates in data for different data-taking years. Superimposed is a fit to the distribution: the blue line shows the total fit, the red dashed line is the \bujpsik component, the green dash-dotted line is the combinatorial background, the purple dash-three-dotted line is the \bujpsipi misidentified background.

Mass distribution of \bujpsik candidates in data for different data-taking years. Superimposed is a fit to the distribution: the blue line shows the total fit, the red dashed line is the \bujpsik component, the green dash-dotted line is the combinatorial background, the purple dash-three-dotted line is the \bujpsipi misidentified background.

Mass distribution of \bujpsik candidates in data for different data-taking years. Superimposed is a fit to the distribution: the blue line shows the total fit, the red dashed line is the \bujpsik component, the green dash-dotted line is the combinatorial background, the purple dash-three-dotted line is the \bujpsipi misidentified background.

Mass distribution of \bujpsik candidates in data for different data-taking years. Superimposed is a fit to the distribution: the blue line shows the total fit, the red dashed line is the \bujpsik component, the green dash-dotted line is the combinatorial background, the purple dash-three-dotted line is the \bujpsipi misidentified background.

Mass distribution of \bujpsik candidates in data for different data-taking years. Superimposed is a fit to the distribution: the blue line shows the total fit, the red dashed line is the \bujpsik component, the green dash-dotted line is the combinatorial background, the purple dash-three-dotted line is the \bujpsipi misidentified background.

Mass distribution of \bujpsik candidates in data for different data-taking years. Superimposed is a fit to the distribution: the blue line shows the total fit, the red dashed line is the \bujpsik component, the green dash-dotted line is the combinatorial background, the purple dash-three-dotted line is the \bujpsipi misidentified background.

Mass distribution of \BdKpi candidates in data for different data-taking years, triggered independently of the signal. Superimposed is a fit to the distribution: the blue line shows the total fit, the red dashed line is the \BdKpi component, the magenta dashed line is the \BsbarKpi component, the green dashed line is the combinatorial background, and the brown dashed line is the partially reconstructed background component.

Mass distribution of \BdKpi candidates in data for different data-taking years, triggered independently of the signal. Superimposed is a fit to the distribution: the blue line shows the total fit, the red dashed line is the \BdKpi component, the magenta dashed line is the \BsbarKpi component, the green dashed line is the combinatorial background, and the brown dashed line is the partially reconstructed background component.

Mass distribution of \BdKpi candidates in data for different data-taking years, triggered independently of the signal. Superimposed is a fit to the distribution: the blue line shows the total fit, the red dashed line is the \BdKpi component, the magenta dashed line is the \BsbarKpi component, the green dashed line is the combinatorial background, and the brown dashed line is the partially reconstructed background component.

Mass distribution of \BdKpi candidates in data for different data-taking years, triggered independently of the signal. Superimposed is a fit to the distribution: the blue line shows the total fit, the red dashed line is the \BdKpi component, the magenta dashed line is the \BsbarKpi component, the green dashed line is the combinatorial background, and the brown dashed line is the partially reconstructed background component.

Mass distribution of \BdKpi candidates in data for different data-taking years, triggered independently of the signal. Superimposed is a fit to the distribution: the blue line shows the total fit, the red dashed line is the \BdKpi component, the magenta dashed line is the \BsbarKpi component, the green dashed line is the combinatorial background, and the brown dashed line is the partially reconstructed background component.

Mass distribution of \BdKpi candidates in data for different data-taking years, triggered independently of the signal. Superimposed is a fit to the distribution: the blue line shows the total fit, the red dashed line is the \BdKpi component, the magenta dashed line is the \BsbarKpi component, the green dashed line is the combinatorial background, and the brown dashed line is the partially reconstructed background component.

Mass distribution of signal candidates (black dots) for (left) \runone and (right) \runtwo samples in regions of BDT. The result of the fit is overlaid (blue line) and the different components detailed in the legend. The solid bands represent the variation of the signal branching fractions within their total uncertainty.

Mass distribution of signal candidates (black dots) for (left) \runone and (right) \runtwo samples in regions of BDT. The result of the fit is overlaid (blue line) and the different components detailed in the legend. The solid bands represent the variation of the signal branching fractions within their total uncertainty.

Mass distribution of signal candidates (black dots) for (left) \runone and (right) \runtwo samples in regions of BDT. The result of the fit is overlaid (blue line) and the different components detailed in the legend. The solid bands represent the variation of the signal branching fractions within their total uncertainty.

Mass distribution of signal candidates (black dots) for (left) \runone and (right) \runtwo samples in regions of BDT. The result of the fit is overlaid (blue line) and the different components detailed in the legend. The solid bands represent the variation of the signal branching fractions within their total uncertainty.

Mass distribution of signal candidates (black dots) for (left) \runone and (right) \runtwo samples in regions of BDT. The result of the fit is overlaid (blue line) and the different components detailed in the legend. The solid bands represent the variation of the signal branching fractions within their total uncertainty.

Mass distribution of signal candidates (black dots) for (left) \runone and (right) \runtwo samples in regions of BDT. The result of the fit is overlaid (blue line) and the different components detailed in the legend. The solid bands represent the variation of the signal branching fractions within their total uncertainty.

Mass distribution of signal candidates (black dots) for (left) \runone and (right) \runtwo samples in regions of BDT. The result of the fit is overlaid (blue line) and the different components detailed in the legend. The solid bands represent the variation of the signal branching fractions within their total uncertainty.

Mass distribution of signal candidates (black dots) for (left) \runone and (right) \runtwo samples in regions of BDT. The result of the fit is overlaid (blue line) and the different components detailed in the legend. The solid bands represent the variation of the signal branching fractions within their total uncertainty.

Mass distribution of signal candidates (black dots) for (left) \runone and (right) \runtwo samples in regions of BDT. The result of the fit is overlaid (blue line) and the different components detailed in the legend. The solid bands represent the variation of the signal branching fractions within their total uncertainty.

Mass distribution of signal candidates (black dots) for (left) \runone and (right) \runtwo samples in regions of BDT. The result of the fit is overlaid (blue line) and the different components detailed in the legend. The solid bands represent the variation of the signal branching fractions within their total uncertainty.

Two-dimensional representations of the branching fraction measurements for the decays (top) \mbox{\Bsmm} and \Bdmm, (bottom left) \Bdmm and \Bsmumugamma and (bottom right) \Bsmm and \Bsmumugamma. The \Bsmumugamma branching fraction is limited to the range $m_{\mu\mu}>4.9\gevcc$. The measured central values of the branching fractions are indicated with a blue dot. The profile likelihood contours for 68\%, 95\% and 99\% CL regions of the result presented in this paper are shown as blue contours, while in the top plot the brown contours indicate the previous measurement~\cite{LHCb-PAPER-2017-001} and the red cross shows the SM prediction. Figure reproduced from Ref.~\cite{LHCb-PAPER-2021-007}.

Two-dimensional representations of the branching fraction measurements for the decays (top) \mbox{\Bsmm} and \Bdmm, (bottom left) \Bdmm and \Bsmumugamma and (bottom right) \Bsmm and \Bsmumugamma. The \Bsmumugamma branching fraction is limited to the range $m_{\mu\mu}>4.9\gevcc$. The measured central values of the branching fractions are indicated with a blue dot. The profile likelihood contours for 68\%, 95\% and 99\% CL regions of the result presented in this paper are shown as blue contours, while in the top plot the brown contours indicate the previous measurement~\cite{LHCb-PAPER-2017-001} and the red cross shows the SM prediction. Figure reproduced from Ref.~\cite{LHCb-PAPER-2021-007}.

Two-dimensional representations of the branching fraction measurements for the decays (top) \mbox{\Bsmm} and \Bdmm, (bottom left) \Bdmm and \Bsmumugamma and (bottom right) \Bsmm and \Bsmumugamma. The \Bsmumugamma branching fraction is limited to the range $m_{\mu\mu}>4.9\gevcc$. The measured central values of the branching fractions are indicated with a blue dot. The profile likelihood contours for 68\%, 95\% and 99\% CL regions of the result presented in this paper are shown as blue contours, while in the top plot the brown contours indicate the previous measurement~\cite{LHCb-PAPER-2017-001} and the red cross shows the SM prediction. Figure reproduced from Ref.~\cite{LHCb-PAPER-2021-007}.

Results from the CL$_{\text{s}}$ scan used to obtain the limit on (left) $\BF(\Bdmm)$ and (right) $\BF(\Bsmumugamma)$. The background-only expectation is shown by the red line and the 1$\sigma$ and 2$\sigma$ bands are shown as light blue and blue bands respectively. The observation is shown as the solid black line. The two dashed lines intersecting with the observation indicate the limits at 90\% and 95\% CL for the upper and lower line, respectively.

Results from the CL$_{\text{s}}$ scan used to obtain the limit on (left) $\BF(\Bdmm)$ and (right) $\BF(\Bsmumugamma)$. The background-only expectation is shown by the red line and the 1$\sigma$ and 2$\sigma$ bands are shown as light blue and blue bands respectively. The observation is shown as the solid black line. The two dashed lines intersecting with the observation indicate the limits at 90\% and 95\% CL for the upper and lower line, respectively.

Dimuon mass distributions of \bsmumu candidates with the fit model used to perform the background subtraction for the measurement of the \Bsmumu effective lifetime superimposed in the (left) low and (right) high BDT regions.

Dimuon mass distributions of \bsmumu candidates with the fit model used to perform the background subtraction for the measurement of the \Bsmumu effective lifetime superimposed in the (left) low and (right) high BDT regions.

The functions used to model the decay-time efficiency in the (left) low and (right) high BDT regions in the fit for the \bsmumu effective lifetime.

The functions used to model the decay-time efficiency in the (left) low and (right) high BDT regions in the fit for the \bsmumu effective lifetime.

(Top) Distribution of $\Kp\Km$ mass with the fit models used to perform the background subtraction superimposed and (bottom) the background-subtracted decay-time distributions with the fit model used to determine the \BsKK effective lifetime superimposed (bottom row). The distributions in the low and high BDT regions are shown in the left and right columns, respectively.

(Top) Distribution of $\Kp\Km$ mass with the fit models used to perform the background subtraction superimposed and (bottom) the background-subtracted decay-time distributions with the fit model used to determine the \BsKK effective lifetime superimposed (bottom row). The distributions in the low and high BDT regions are shown in the left and right columns, respectively.

(Top) Distribution of $\Kp\Km$ mass with the fit models used to perform the background subtraction superimposed and (bottom) the background-subtracted decay-time distributions with the fit model used to determine the \BsKK effective lifetime superimposed (bottom row). The distributions in the low and high BDT regions are shown in the left and right columns, respectively.

(Top) Distribution of $\Kp\Km$ mass with the fit models used to perform the background subtraction superimposed and (bottom) the background-subtracted decay-time distributions with the fit model used to determine the \BsKK effective lifetime superimposed (bottom row). The distributions in the low and high BDT regions are shown in the left and right columns, respectively.

(Top) Distribution of $\Kp\pim$ mass with the fit models used to perform the background subtraction superimposed and (bottom) the background-subtracted decay-time distributions with the fit model used to determine the \BdKpi lifetime superimposed. The distributions in the low and high BDT regions are shown in the left and right columns, respectively.

(Top) Distribution of $\Kp\pim$ mass with the fit models used to perform the background subtraction superimposed and (bottom) the background-subtracted decay-time distributions with the fit model used to determine the \BdKpi lifetime superimposed. The distributions in the low and high BDT regions are shown in the left and right columns, respectively.

(Top) Distribution of $\Kp\pim$ mass with the fit models used to perform the background subtraction superimposed and (bottom) the background-subtracted decay-time distributions with the fit model used to determine the \BdKpi lifetime superimposed. The distributions in the low and high BDT regions are shown in the left and right columns, respectively.

(Top) Distribution of $\Kp\pim$ mass with the fit models used to perform the background subtraction superimposed and (bottom) the background-subtracted decay-time distributions with the fit model used to determine the \BdKpi lifetime superimposed. The distributions in the low and high BDT regions are shown in the left and right columns, respectively.

Background-subtracted decay-time distributions with the fit model used to extract the \Bsmumu effective lifetime superimposed in the (left) low and (right) high BDT regions.

Background-subtracted decay-time distributions with the fit model used to extract the \Bsmumu effective lifetime superimposed in the (left) low and (right) high BDT regions.