Powered by Foswiki, The Free and Open Source Wiki

Difference: ResultsWinter2016UUT (r2 vs. r1)

r2 - 09 Jan 2016 - 09:47 - DenisDerkach

r1 - 21 Jul 2015 - 13:47 - DenisDerkach

Tree Level Fit results: Winter 2016

Tree Level Fit results: Summer 2015

It is possible to generalize the full UTfit beyond the Standard Model to all those NP models characterized by Minimal Flavour Violation, i.e. having quark mixing ruled only by the Standard Model CKM couplings ( http://arxiv.org/abs/hep-ph/0007085). In fact, in this case no additional weak phases are generated and several observables entering into the Standard Model fit (the tree-level processes and the measurement of angles through the use of time dependent CP asymmetries) are not affected by the presence of New Physics. The only sizable effect we are sensitive to is a shift of the Inami-Lim function of the top contribution in meson mixing. This means that in general ?K and ?md cannot be used in a common SM and MFV framework. Also the ratio ?md/?ms cannot be used in general, as ?ms can get additional NP contributions at large tan?. So, simply removing the information related to ?K, ?md and ?ms from the full UTfit, one can obtain a more precise determination of the Universal Unitarity Triangle, which is a common starting point for the Standard Model and any MFV model.

Parameter	Input value	Prediction
$\bar{\rho}$		$0.141 \pm 0.023$
$\bar{\eta}$		$0.339 \pm 0.015$
$\rho$		$0.145 \pm 0.023$
$\eta$		$0.346 \pm 0.014$
		$0.810 \pm 0.021$
$\lambda$	$0.22518 \pm 0.00087$	$0.22507 \pm 0.00064$
$\alpha, [^{\circ}]$	$92.5 \pm 5.5 \text{ and } 166.1 \pm 0.6$	$88.1 \pm 3.4$
$\beta, [^{\circ}]$		$24.2 \pm 1.6$
$\sin(2\beta)$	$0.679 \pm 0.023$	$0.746 \pm 0.039$
$\gamma, [^{\circ}]$	$-108.5 \pm 6.5 \text{ and } 71.4 \pm 6.5$	$66.9 \pm 3.0$

CKM matrix thus looks like $V_{CKM}=\left(\begin{array}{ccc} (0.97431 \pm 0.00013) & (0.22508 \pm 0.00066) & (0.00364 \pm 0.00012)e^{i(-67.5 \pm 3.5)^\circ}\\ ( -0.22491 \pm 0.00066)e^{i(0.0328 \pm 0.0021)^\circ} & (0.97347 \pm 0.00014)e^{i(-0.00175 \pm 0.00011)^\circ} & (0.04237 \pm 0.00062) \\ (0.00853 \pm 0.00031)e^{i(-21.50 \pm 0.83)^\circ} & ( -0.0403 \pm 0.0010)e^{i(1.026 \pm 0.043)^\circ} & (0.999143 \pm 0.000045)\end{array}\right)$

Full fit result for $\,\bar{\rho}$

$0.141 \pm 0.023$ 95% prob:[0.095, 0.190] 99% prob:[0.075, 0.219]
EPS - PDF - PNG - JPG - GIF

Full fit result for $\,\bar{\eta}$

$0.339 \pm 0.015$ 95% prob:[0.309, 0.369] 99% prob:[0.293, 0.381]
EPS - PDF - PNG - JPG - GIF

Full fit result for $\,\bar{\rho} - \bar{\eta}$


EPS - PDF - PNG - JPG - GIF

Full fit result for $\,\rho$

$0.145 \pm 0.023$ 95% prob:[0.097, 0.195] 99% prob:[0.077, 0.224]
EPS - PDF - PNG - JPG - GIF

Full fit result for $\,\eta$

$0.346 \pm 0.014$ 95% prob:[0.318, 0.377] 99% prob:[0.305, 0.394]
EPS - PDF - PNG - JPG - GIF

Full fit result for $\,A$

$0.810 \pm 0.021$ 95% prob:[0.767, 0.854] 99% prob:[0.746, 0.876]
EPS - PDF - PNG - JPG - GIF

Fit Input for $\,\lambda$

$0.22518 \pm 0.00087$ 95% prob:[0.22356, 0.22712] 99% prob:[0.22257, 0.22801]
EPS - PDF - PNG - JPG - GIF

Prediction for $\,\lambda$

$0.22507 \pm 0.00064$ 95% prob:[0.22386, 0.22633] 99% prob:[0.22326, 0.22703]
EPS - PDF - PNG - JPG - GIF

Fit Input for $\,\alpha, [^{\circ}]$

$92.5 \pm 5.5 \text{ and } 166.1 \pm 0.6$ 95% prob:[83.60, 102.60] U [162.30, 169.70] 99% prob:[80.00, 108.80] U [159.19, 171.60]
EPS - PDF - PNG - JPG - GIF

Prediction for $\,\alpha, [^{\circ}]$

$88.1 \pm 3.4$ 95% prob:[81.5, 95.2] 99% prob:[78.2, 98.7]
EPS - PDF - PNG - JPG - GIF

Full fit result for $\,\beta, [^{\circ}]$

$24.2 \pm 1.6$ 95% prob:[20.9, 27.6] 99% prob:[19.4, 29.3]
EPS - PDF - PNG - JPG - GIF

Fit Input for $\,\sin(2\beta)$

$0.679 \pm 0.023$ 95% prob:[0.635, 0.729] 99% prob:[0.613, 0.755]
EPS - PDF - PNG - JPG - GIF

Prediction for $\,\sin(2\beta)$

$0.746 \pm 0.039$ 95% prob:[0.669, 0.822] 99% prob:[0.630, 0.858]
EPS - PDF - PNG - JPG - GIF

Fit Input for $\,\gamma, [^{\circ}]$

$-108.5 \pm 6.5 \text{ and } 71.4 \pm 6.5$ 95% prob:[-122.0, -95.9] U [57.7, 84.0] 99% prob:[-129.3, -89.4] U [50.7, 90.7]
EPS - PDF - PNG - JPG - GIF

Prediction for $\,\gamma, [^{\circ}]$

$66.9 \pm 3.0$ 95% prob:[61.0, 73.0] 99% prob:[58.0, 75.9]
EPS - PDF - PNG - JPG - GIF

Parameter	Input value	Full fit
$\bar{\rho}$		$0.143 \pm 0.024$
$\bar{\eta}$		$0.341 \pm 0.015$
$\rho$		$0.147 \pm 0.024$
$\eta$		$0.35 \pm 0.015$
		$0.815 \pm 0.029$
$\lambda$	$0.22519 \pm 0.00099$	$0.22497 \pm 0.00065$
$\alpha, [^{\circ}]$	$92.7 \pm 6.2$	$90.7 \pm 3.6$
$\beta, [^{\circ}]$		$21.67 \pm 0.87$
$\sin(2\beta)$	$0.68 \pm 0.024$	$0.686 \pm 0.022$
$\gamma, [^{\circ}]$	$71.4 \pm 6.5 \text{ and } 71.4 \pm 6.5$	$67.2 \pm 3.6$

The fit results for all the nine CKM elements are $V_{CKM}=\left(\begin{array}{ccc} (0.9743 \pm 0.00015) & (0.22507 \pm 0.00066) & (0.00354 \pm 0.00017)e^{i(-67.3 \pm 3.6)^\circ}\\ ( -0.22496 \pm 0.00061)e^{i(0.0335 \pm 0.0026)^\circ} & (0.97347 \pm 0.00016)e^{i(-0.00178 \pm 0.00013)^\circ} & (0.0414 \pm 0.0014) \\ (0.00857 \pm 0.00037)e^{i(-21.66 \pm 0.87)^\circ} & ( -0.0406 \pm 0.0014)e^{i(1.033 \pm 0.044)^\circ} & (0.999129 \pm 0.00006)\end{array}\right)$

Full fit result for $\,\bar{\rho}$

$0.143 \pm 0.024$ 95% prob:[0.096, 0.193] 99% prob:[0.076, 0.222]
EPS - PDF - PNG - JPG - GIF

Full fit result for $\,\bar{\eta}$

$0.341 \pm 0.015$ 95% prob:[0.312, 0.371] 99% prob:[0.292, 0.392]
EPS - PDF - PNG - JPG - GIF

Full fit result for $\,\rho$

$0.147 \pm 0.024$ 95% prob:[0.098, 0.198] 99% prob:[0.078, 0.227]
EPS - PDF - PNG - JPG - GIF

Full fit result for $\,\eta$

$0.35 \pm 0.015$ 95% prob:[0.320, 0.380] 99% prob:[0.306, 0.397]
EPS - PDF - PNG - JPG - GIF

Full fit result for $\,A$

$0.815 \pm 0.029$ 95% prob:[0.76, 0.873] 99% prob:[0.731, 0.902]
EPS - PDF - PNG - JPG - GIF

Fit Input for $\,\lambda$

$0.22519 \pm 0.00099$ 95% prob:[0.2235, 0.2271] 99% prob:[0.2226, 0.228]
EPS - PDF - PNG - JPG - GIF

Full Fit result for $\,\lambda$

$0.22497 \pm 0.00065$ 95% prob:[0.2239, 0.2264] 99% prob:[0.2232, 0.227]
EPS - PDF - PNG - JPG - GIF

Fit Input for $\,\alpha, [^{\circ}]$

$92.7 \pm 6.2 \text{ and } 167.3 \pm 0.1$ 95% prob:[83.5, 102.9] U [161.2, 169.8] 99% prob:[78.8, 108.2] U [157.9, 171.5] U [179.5, 180]
EPS - PDF - PNG - JPG - GIF

Full Fit result for $\,\alpha, [^{\circ}]$

$90.7 \pm 3.6$ 95% prob:[83.7, 98.7] 99% prob:[80.7, 103]
EPS - PDF - PNG - JPG - GIF

Full fit result for $\,\beta, [^{\circ}]$

$21.67 \pm 0.87$ 95% prob:[20.0, 23.5] 99% prob:[19.2, 24.5]
EPS - PDF - PNG - JPG - GIF

Fit Input for $\,\sin(2\beta)$

$0.68 \pm 0.024$ 95% prob:[0.635, 0.729] 99% prob:[0.613, 0.755]
EPS - PDF - PNG - JPG - GIF

Full Fit result for $\,\sin(2\beta)$

$0.686 \pm 0.022$ 95% prob:[0.644, 0.732] 99% prob:[0.624, 0.756]
EPS - PDF - PNG - JPG - GIF

Fit Input for $\,\gamma, [^{\circ}]$

$-108.5 \pm 6.5 \text{ and } 71.4 \pm 6.5$ 95% prob:[-122, -95.] U [57.8, 84.1] 99% prob:[-129, -89.] U [50.7, 90.7]
EPS - PDF - PNG - JPG - GIF

Full Fit result for $\,\gamma, [^{\circ}]$

$67.2 \pm 3.6$ 95% prob:[59.5, 74.5] 99% prob:[55.2, 77.8]
EPS - PDF - PNG - JPG - GIF

r2 - 09 Jan 2016 - 09:47 - DenisDerkach

r1 - 21 Jul 2015 - 13:47 - DenisDerkach

View topic | View difference interwoven | History: r2 < r1 | More topic actions

Ideas, requests, problems regarding this web site? Send feedback