This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The publication of this article was funded by SCOAP 3 .
1. Introduction
Semileptonic
decays, in which
stands for one of the three charged leptons, have shown intriguing discrepancies between the Standard Model predicted ratio of branching fractions between muon and tau lepton decay modes [1], indicated as
, and the measured values at BaBar [2], Belle [3–5], and LHCb [6, 7] experiments. This contrast could be a sign of New Physics contributions violating the Standard Model universality of leptonic interactions.
The measurement of observables related to the
differential decay rate, other than
, can shed new light on the observed anomalies, allowing to put complementary constraints on possible New Physics sources [1, 8–13]. However, the only measurement of these observables available to date is a preliminary result for the
longitudinal polarization fraction in
decays by the Belle experiment [14]
which is consistent at 1.4
with the Standard Model prediction
[11, 13].
Angular analyses of
decays are challenging because final-state neutrinos can not be reconstructed, implying that the
meson rest frame is not precisely determined from the detectable part of the decay. This problem can be mitigated at
-factories, where the momentum of the
meson can be determined from the known center-of-mass energy of the
collision and the complete reconstruction of the decay of the other
meson produced in the interaction. On the contrary, at hadronic colliders the
meson momentum is not constrained by the production mechanism since the center-of-mass energy of the parton-parton collision is unknown.
This article considers the possibility to measure the angular variable distributions of
decays by exploiting reconstruction algorithms estimating the
meson rest frame only from information related to the detectable final-state particles, a situation of particular interest for hadron collider experiments like LHCb. The attainable precision on the phase space variables is studied by means of a simulation study set for a forward detector geometry which is detailed in Section 2. It is shown that observables related to the cosine of the polar angle of the
meson in the
helicity frame,
, and the azimuthal angle between the (
) and (
) decay planes,
, are suitable to be measured in the considered set-up. It is shown that
and
distributions can be extracted using the
Plot statistical technique [15] from the template fit selecting
decays from background events.
The fully differential
decay distribution is reviewed in Section 3 and the observables associated to the aforementioned phase space distributions introduced. These are the
longitudinal polarization, the
-conserving and
-violating observables related to the
angle distributions. The latter are especially interesting being a null test for the Standard Model, since
-violation in Cabibbo-favoured
quark transition is strongly suppressed by the Cabibbo-Kobayashi-Maskawa mechanism.
In Section 4, a method to measure the considered observables while correcting the effect of reconstruction inaccuracies is presented and tested on simulated
decays. The decrease in precision due to the use of the reconstruction algorithms is evaluated with respect to ideal measurements in which the phase space distributions are perfectly reconstructed. A discussion on the possible systematic uncertainties associated to the proposed measurements is reported in Section 5. The conclusions of the study are summarized in Section 6.
2. The
Decay Reconstruction
2.1. Simulation Configuration
The capability of reconstructing the
decay distribution using approximate reconstruction algorithms is studied on simulated semileptonic decays in a detector configuration analogous to the LHCb experiment [16].
Three decay chains are considered:
,
, and
, along with their charge-conjugated decays. The flavour of the
meson is determined by the charge of the detectable part of the lepton decay or by that of the pion produced in the
decay. The production of
mesons from proton-proton collisions at a center-of-mass energy
are simulated using PYTHIA 8.1 [17, 18], their decay to the different final states are simulated by the EVTGEN package [19]. Stable particles are required to be within the nominal LHCb pseudorapidity acceptance
, while charged particle momentum cuts
and
roughly reproducing the LHCb kinematic acceptance (estimated from [16]) have been tried but showed no significant effect on the subsequent studies. A minimum
meson flight distance of 3 mm simulates the effect of a displaced vertex trigger requirement. The production and decay vertex positions of the
meson have been smeared from their generated values according to Gaussian distributions reproducing the performance of the LHCb VELO detector [20, 21]: for production vertexes the Gaussian widths are 13
and 70
in the transverse and longitudinal directions, respectively, with respect to the beam; for decay vertexes they are 20
and 200
. For
decays, a minimum tau lepton flight distance of 1 mm is applied as background rejection cut.
The ROOT package [22] is employed for data handling and graphics.
2.2.
Rest Frame Approximate Reconstruction Algorithms
The
rest frame reconstruction benefits from the knowledge of the flight direction from its production and decay vertexes, the latter determined by the
track combination. Two strategies are considered in this study.
For decays in which a single neutrino is missing, the available information about the decay (the momentum of the detectable part of the decay, the
meson flight direction, the
and neutrino masses) determines the
momentum up to a two-fold ambiguity [23]. The two solutions correspond to the forward or backward orientation of the neutrino in the
rest frame with respect to the
flight direction. If the neutrino is orthogonal to the
flight direction a unique, degenerate solution is found. This algorithm will be referred to as “full reconstruction.”
A different
momentum approximation can be made assuming that the proper velocity along the beam axis,
, of the detectable part of the decay is equal to that of the
meson [6]. The magnitude of the
momentum in terms of the visible decay system
and the angle
between flight direction and beam axis is set as
This approach will be referred to as “equal velocity” algorithm and it is applicable also to decays with two or more invisible particles, in which the invariant mass of the unmeasured part of the decay is unknown.
2.3. Resolutions on the
Phase Space Variables
The
decay is characterized by four degrees of freedom.
1
Its phase space can be described by the following four kinematic variables: the invariant mass of the
system
, the cosine of the polar angle of the
meson in the
helicity frame
, the cosine of the polar angle of the lepton in the
system helicity frame
and the azimuthal angle between the (
) and (
) decay planes
, see Figure 1. In
and
helicity frames, the
axis is defined by the direction of the
and
momenta in the
rest frame, respectively.
[figure omitted; refer to PDF]
The attainable precision on the four phase space variables is studied computing the resolution defined as the difference between the values measured using the reconstruction algorithms and the true values of the simulated events. Differences of dimensional quantities are divided by the true values.
The
rest frame reconstruction for
decays is achieved exploiting the full reconstruction algorithm. If a couple of solutions are found, one of the two is selected by random choice, while apparently unphysical configurations, due to experimental uncertainties, in which no
momentum solution is available are discarded from the following study, these constituting the 32.7% of the simulated events. Regression techniques based on
meson flight direction and magnitude to improve the solution decision [24] have been tried but showed limited improvement. The relative resolution on the
momentum magnitude, obtained with the two reconstruction algorithms, is shown in Figure 2. The full reconstruction
momentum resolution features a narrow, symmetric distribution peaked at zero, corresponding to events in which the momentum solution corresponding to the true orientation of the neutrino (forward or backward) was chosen, and a broader, asymmetric shape associated to events in which the momentum solution corresponding to the wrong neutrino orientation was assigned. The equal velocity reconstruction presents a more regular but wider distribution. The phase space variables describing the semileptonic decay are computed in the
rest frame resulting from the estimated
momentum. Their resolutions are reported in Figure 3: the
and
feature symmetric and unbiased distributions, the
distribution is slightly asymmetric but almost unbiased and the relative
even if asymmetric peaks at zero. Phase space variable resolutions obtained with the equal velocity algorithm are reported in Figure 4. Their distributions are wider than those resulting from the full reconstruction algorithm, since less information on the decay is employed.
[figure omitted; refer to PDF]
[figure omitted; refer to PDF]
[figure omitted; refer to PDF]
For
decays, in which the
and
vertexes determine the flight direction of the tau lepton, the full reconstruction algorithm is applied sequentially to the tau lepton and
meson decays. First, the
momentum is estimated from the visible
system: if there are two
momentum solutions one is chosen randomly. If no solutions are available, the momentum corresponding to the degenerate solution is assigned. Then, the
momentum is calculated from the
system using the estimated
momentum: if there are two
momentum solutions one is chosen randomly. If no solutions are available then the other, if any,
momentum solution is tried, and the event discarded only if the
momentum reconstruction is still impossible. This algorithm tries to retain the maximum information on the decay, however, it rejects 57.7% of the events. The estimated
momentum is then used for computing
and
variables. The relative resolution on the
momentum magnitude is shown in Figure 5 along with that obtained using the equal velocity algorithm, the latter being the narrower one. Phase space variables resolutions for full reconstruction algorithm are reported in Figure 6, which are to be compared to those obtained applying the equal velocity algorithm, see Figure 7. Comparing to the muon channel, the
distributions are moderately wider, while
and
resolutions are significantly broader, since they directly depend on the leptonic part of the decay. The
distributions are however still unbiased, while the
ones are asymmetric and biased, especially for the equal velocity algorithm. Comparing the two algorithms, the
distributions are basically equal, while the
resolution is better for the full reconstruction one.
[figure omitted; refer to PDF]
[figure omitted; refer to PDF]
[figure omitted; refer to PDF]
For
decays, no information on the
decay vertex is available and the equal velocity algorithm is applied. The relative resolution on the
momentum magnitude is shown in Figure 8 and phase space variables resolutions are reported in Figure 9. The muon momentum is taken as tau lepton momentum for computing
and
variables. Comparing to the tau lepton hadronic decay channel, the distributions are similar to the more precise resolutions of the full reconstruction algorithm rather than to those obtained with the equal velocity algorithm. Thus, the knowledge of the tau lepton flight direction in the three pion decay mode is not able to add significant information to the decay reconstruction due to the increased ambiguity in the
momentum determination.
[figure omitted; refer to PDF]
[figure omitted; refer to PDF]
Summarizing,
and
resolution distributions have been shown to be symmetric and unbiased for all the
decay channels, and the related physical quantities are therefore suitable to be measured even at hadron collider experiments, making use of the presented reconstruction algorithms only. On the contrary,
resolution distributions have been found to be biased for
lepton decay channels. The measurement of observables depending on
would therefore require special care and it is not further considered in this article.
2.4. Extraction of Angular Distributions from the Template Fit Selection
The selection of
decays is a challenging task, especially at hadronic colliders. The impossibility of reconstructing all the final-state particles prevents the direct use of invariant masses as discriminating variables and makes different decays with similar topology but additional unreconstructed particles difficult to distinguish from
transitions. In fact, besides discriminating muon from tau lepton decay modes,
decays must be separated from
decays to
,
and other higher mass charm meson resonances
and
decays to double charm resonances in which one has a semileptonic decay. This is usually achieved by means of a template fit to a set of discriminating variables, in which shapes for each decay type are mainly determined from simulation [6, 7].
The extraction of
distributions from the fit results can be done straightforwardly by means of the
Plot statistical tool [15] only for angular variables independent from the discriminating ones. In this way the distributions are derived using no a priori information about them, but only from the discriminating variables. Distributions which are correlated with the discriminating variables can also be obtained in principle, but since they will depend directly on the construction of the template distributions, their extraction would need a specific statistical treatment and they would be more sensitive to fit-related systematic uncertainties.
The possibility of deriving
angular distributions from a realistic selection is checked by evaluating their correlations, computed as mutual information,
2
with the set of the three discriminating variables used in [6], in which the detectable part of the leptonic decay,
or
, is used: the missing mass of the decay
the energy of the
system in the
rest frame
, and
, where the
rest frame is estimated using the equal velocity algorithm. Correlation plots are presented in Figures 10, 11, and 12 for
,
and
events, respectively. Since the discriminating variables depend on the leptonic part of the decay, correlations for
and
variables are found to be negligible; for
correlations are high for the muon decay mode and small for the tau lepton one, because in the latter case the relationship is blurred by the extra neutrinos coming from the
decay.
[figure omitted; refer to PDF]
[figure omitted; refer to PDF]
[figure omitted; refer to PDF]
Detector reconstruction and event selection may introduce additional correlations between discriminating and angular variables, but efficiency corrections are able to subtract these effects. Per-event efficiency corrections are routinely applied in many particle physics analyses, usually obtained from high-statistics simulation samples.
Thanks to their small correlations with the discriminating variables,
and
distributions can be extracted directly from the template fit using the
Plot statistical technique, allowing related observable measurements to be performed on “signal-only”
and
distributions.
3. The
Decay Distribution
Maximum information about the
decay is obtained from the fully differential decay distribution [9]
in which the dependence on the angular variables
,
and
has been made explicit. The decay is described by twelve angular coefficient functions
, dependent on couplings, hadronic form factors and
; NF is a
-dependent normalization term. The angular coefficients are labelled according to the
helicity combinations on which they depend: longitudinal (
), transverse (
), or mixed (
).
The
-conjugate
decay distribution follows from the application of the
transformation to (4): the angles are now defined with respect to
and
antiparticles, and the inversion of the momenta correspond to a transformation
and
,
Angular terms proportional to
and
are sensitive to
-violation, being produced in the interference between amplitudes having different
-violating weak phases. The associated coefficients,
,
, and
, are practically zero in the Standard Model [9]; therefore a nonzero measurement of these quantities would be a clear sign of beyond the Standard Model physics.
Due to the experimentally available limited statistics, it is useful to integrate the fully differential decay distribution described by (4) to obtain observables retaining specific parts of the decay information. An overview of interesting observables defined for the
decay distribution can be found in [9, 12, 25]; the following section will focus on observables constructed from
and
variables, the most suitable quantities to be measured according to the simulation study presented in Section 2.
3.1. Integrated Distributions and Observables
According to the study detailed in Section 2.3, the best resolution is attained on the polar angle of the
meson in the
helicity frame,
. The singly-differential distribution over
, obtained integrating the complete decay distribution described by (4) over all but the
variable, is
in which
and
represent the
-integrated longitudinal and transverse polarization fractions of the
meson, satisfying
; the distribution takes the form of a second-order polynomial in
depending on one single observable
,
The
longitudinal polarization fraction is sensitive to scalar and tensor New Physics contributions to the
quark transition effective Hamiltonian, rather than to vector or axial-vector terms [9, 11]. Its ability to constrain New Physics contribution has been recently considered in [13, 26, 27].
Observables derived from
-dependent decay distributions are especially interesting being clean probes for New Physics
-violation. Trigonometric functions of the
angle can be expressed in terms of the unit vectors orthogonal to the
and
decay planes in the
meson rest frame,
as
so that observables which are coefficients of
or
can be extracted as triple-product asymmetries. This feature allows
-violating observables to be extracted by counting rather than by angular fits and will be exploited further on.
The singly-differential distribution over
is obtained by integrating (4)
The
-violating
observable is sensitive to vector and axial vector New Physics contributions but not to pseudoscalar ones [9]. It depends linearly on
, while for the
-conjugated decay
depends on
, changing sign under
-transformation. The corresponding
-violating observable can be thus defined as
Exploiting the odd parity of the
term, the
observable can be isolated from the distribution described by (10) by defining the triple-product asymmetry
The sum of
asymmetries measured for the two
-conjugated decays still represent a
-violating observable.
Terms proportional to
in the full decay distribution are multiplied by
and integrate to zero under
. The triple-product asymmetry defined as
is zero even in presence of New Physics, being this angular dependence related to the spin structure of the
decay, in which the
meson has spin one. The measurement of
is therefore a useful cross-check for the triple-product asymmetry measurement, allowing to assess possible biases or contamination from
events in which the
comes from a spin zero resonance decay, like the
, or from a nonresonant system [25].
Observables related to the
terms of the decay distribution can be extracted from the
-dependent angular distribution defined as
The
-violating
observable is sensitive to all vector, axial-vector and pseudoscalar couplings [9]. It depends linearly on
, while for the
-conjugated decay
depends on
, not changing sign under
-transformation. The corresponding
-violating observable is therefore
Starting from the distribution reported in (14), a triple-product asymmetry equivalent to the
observable can be defined as
The difference between
asymmetries measured for the two
-conjugated decays represents a
-violation observable.
4. Measurement Method for
Decay Distribution Observables
The nonnegligible width of the resolution on the angular variables, studied in Section 2.3, must be taken into account when measuring the corresponding observables, which can be biased from their actual value. In Section 4.1, it is shown how the
longitudinal polarization can be extracted from maximum-likelihood fits to simulated
events by parametrizing the detector response in
and as a function of
via a polynomial expansion. This way, the nonnegligible experimental resolution effect is subtracted, and the measured values are found compatible with the generated ones. The loss of sensitivity due to the experimental resolution is evaluated. Maximum-likelihood fits have been performed using the ROOFIT package [28].
The same method is then applied for the extraction of
and
observables, Section 4.2, but found to be successful only for
decays, due to the too large uncertainties associated to the
angle reconstruction for tau lepton decay modes.
Section 4.3 deals with triple-product asymmetries, which can be measured just by counting. In this case, the simulation is used to determine the proportionality factor between the
-violating observables and the associated reconstructed triple-product asymmetry, allowing to correct for the experimental resolution and to quantify the associated loss in precision.
4.1.
Longitudinal Polarization
As a first step, a per-event weight is assigned to simulated
decays in order to obtain a flat distribution in the generated
values, for correcting the distortion due the applied geometry and selection requirements. Different longitudinal polarizations are generated by applying another per-event, polarization dependent, weight such that the generated
distribution reproduces (7) for each
value. Both weights are normalized in such a way that for each
value the mean of the weights is one.
The two per-event weights are multiplied together, assuming the detector efficiency correction is independent of
. This assumption has been checked to be valid for the presented simulation study. In a real-case analysis, the generation of
events with varying longitudinal polarization should be done before applying the detector reconstruction, so that detector efficiency effects can be taken into account as a function of
.
Simulated events are then divided in two samples: a test sample reproducing
reconstructed decays with different
longitudinal polarizations, and a second used to derive a Legendre polynomial expansion in
and
. This expansion is used as fit model to model to extract
from a maximum-likelihood fit of the test sample. The orthogonality and completeness of Legendre polynomials
is exploited to expand the reconstructed decay distribution in
and
as
in which the coefficients
are determined as
and
is the product of the two per-event weights applied. Given the simple dependencies, quadratic in
and linear in
, only Legendre polynomials up to the second order are sufficient to approximate the decay distribution. The use of a simple parametrization makes the maximum-likelihood fit of the decay distribution fast and robust.
The test samples contain, by choice, ten thousand
events per decay mode, while the other samples are five times larger than the test one. This is equivalent to assume that, in a real measurement, the statistics of the simulation sample employed to derive the polynomial expansion is larger enough with respect to the data sample.
The sensitivity to the
longitudinal polarization is studied by fitting the test samples using directly the angular distribution equation (7) or the polynomial expansions equation (17) for the three considered
decays. The measured polarizations are reported in Table 1. Ideal
measurements are simulated by fitting the angular distribution distribution described by (7) to a toy sample generated from the same distribution for varying
values, with the same number of events of the test samples. These correspond to measurements made by a detector with perfect
resolution, taken as reference to evaluate the decrease in precision due to the reconstruction algorithms employed. Results of these ideal measurements are reported in the last row of Table 1.
Table 1
Measured
longitudinal polarization (in %) by fitting the true angular distribution equation (7) or the polynomial expansions equation (17) to the
test samples for varying generated
values; the last row reports the ideal measurements obtained by fitting the true angular distribution to a toy sample generated from the same distribution with the same number of events of the test sample.
(gen) |
10 |
50 |
90 |
(
, true) |
12.65
0.60 |
41.61
0.76 |
71.36
0.71 |
(
(
), true) |
16.79
0.65 |
41.37
0.76 |
66.29
0.73 |
(
(
), true) |
16.58
0.65 |
44.05
0.77 |
71.52
0.70 |
(
, expansion) |
10.18
0.84 |
50.42
1.06 |
91.76
0.99 |
(
(
), expansion) |
10.49
1.06 |
50.58
1.23 |
90.81
1.18 |
(
(
), expansion) |
9.82
0.96 |
50.29
1.13 |
90.72
1.04 |
|
(gen, true) |
10.13
0.58 |
50.24
0.76 |
90.10
0.52 |
Longitudinal polarizations extracted using the true angular distributions are clearly biased towards values for which the
distribution is flatter (it is uniform for
). Polynomial expansions allow to correctly measure the generated values within the uncertainties resulting from the the maximum-likelihood fit. The precision for different
values with respect to the ideal case decreases by a factor 1.4–1.9 for the muon mode and a factor 1.5–2 for the
decay. The precision is therefore similar for muon and tau lepton decay modes, as expected since the
variable does not directly depend on the leptonic part of the decay. The exploitation of the tau lepton decay vertex information in the
decay reconstruction does not increase the precision on
, rather, a larger uncertainty is observed for this mode.
According to this simulation study, the
polarization fraction of
decays is measurable with the sole use of the employed reconstruction algorithm, with a maximum penalty in sensitivity of a factor 2. This permits an additional search for New Physics in
decays complementary to the already measured
ratio.
4.2. An Attempt to Directly Measure the
and
Observables
A simulation study analogous to the one set for the
measurement is performed to check the possibility to simultaneously measure the
and
observables related to the distribution reported in (10). This case is more difficult partly because of the larger resolution on the
angle, especially for the tau lepton decay mode, partly because this angular distribution is characterized by fast oscillations (
and
terms) more sensitive to reconstruction inaccuracies.
A first study is carried out assuming that the
distribution has a simpler form,
in which the
oscillations are wider. As explained in Section 3, this angular dependence is absent from the actual
distribution, so that the angular coefficients
,
do not correspond to
angular observables. They are introduced with the purpose of testing the extraction method already applied to
. The fit model is derived from the reconstructed decay distribution by means of a polynomial expansion in
,
and
: Legendre polynomials are used for
and
, while a Fourier series
3
up to
,
terms is employed for the
angle,
in which the coefficients
are determined as
and
is the product of the two per-event weights applied.
The measured
and
values using the distribution equation (19) and the polynomial expansions equation (20) are reported in Tables 2 and 3, respectively. Only results in which one of the two observables is zero are shown, since negligible differences in the observables extraction are seen when both
and
have nonzero values. Ideal measurements are also simulated as done for
. Only
decays are considered for the tau lepton decay mode.
Table 2
Measured
(in %) fitting the angular distribution equation (19) or the polynomial expansions equation (20) to the
test samples for varying generated values; the last row reports the ideal sensitivity obtained from a toy sample generated from the true angular distribution with the same number of events of the test sample, fitted with the same distribution.
(
(gen) |
(0,0) |
(0,50) |
(0,-50) |
(
, true) |
-2.22
1.41 |
20.90
1.39 |
-25.18
1.37 |
(
(
), true) |
-0.60
1.41 |
11.42
1.41 |
-12.39
1.39 |
(
, exp.) |
-3.66
2.94 |
49.56
2.89 |
-51.60
2.86 |
(
(
), exp.) |
-3.58
6.24 |
49.62
6.26 |
-55.69
6.18 |
|
(gen, true) |
-0.55
1.42 |
49.55
1.28 |
-50.45
1.27 |
Table 3
Measured
(in %) fitting the angular distribution equation (19) or the polynomial expansions equation (20) to the
test samples for varying generated values; the last row reports the ideal sensitivity obtained from a toy sample generated from the true angular distribution with the same number of events of the test sample, fitted with the same distribution.
(gen) |
(0,0) |
(50,0) |
(-50,0) |
(
, true) |
-0.85
1.42 |
28.64
1.37 |
-26.93
1.38 |
(
(
), true) |
-2.06
1.42 |
6.87
1.42 |
-11.05
1.42 |
(
, exp.) |
2.55
2.62 |
53.89
2.53 |
-48.92
2.56 |
(
(
), exp.) |
-5.47
7.84 |
44.45
7.91 |
-56.49
8.05 |
|
(gen, true) |
0.62
1.41 |
50.50
1.26 |
-49.49
1.27 |
The polynomial expansions recover the generated values within uncertainties, with a precision on
decreased by a factor 2–2.2 for the muon mode and 4.4–4.9 for the tau lepton mode, and a precision on
decreased by a factor 1.8–2 for the muon mode and 5.5–6.3 for the tau lepton mode. As a result, the polynomial expansion method proves to be effective but the decrease in precision for the tau lepton decay mode is important to note.
The simulation study is repeated for
and
using the distribution described by (10) and an analogous polynomial expansion. Unfortunately, the two observables are measurable only for the muon decay mode, the results of which are shown in Tables 4 and 5, with precisions on
and
observables decreased by a factor 2.9–3.2 and 2.6–2.7, respectively. The measurement is not possible on the tau lepton decay mode because the large uncertainty in the reconstruction completely flattens the
angle distribution.
Table 4
Measured
(in %) fitting the angular distribution equation (10) or the polynomial expansions equation (20) to the
test sample for varying generated values; the last row reports the ideal sensitivity obtained from a toy sample generated from the true angular distribution with the same number of events of the test sample, fitted with the same distribution.
(gen) |
(0,0) |
(0,50) |
(0,-50) |
(
, true) |
-0.38
1.42 |
16.81
1.40 |
-17.66
1.40 |
(
, exp.) |
-1.98
4.05 |
47.10
3.99 |
-51.46
4.03 |
|
(gen, true) |
1.25
1.41 |
51.00
1.26 |
-48.98
1.28 |
Table 5
Measured
(in %) fitting the angular distribution equation (10) or the polynomial expansions equation (20) to the
test sample for varying generated values; the last row reports the ideal sensitivity obtained from a toy sample generated from the true angular distribution with the same number of events of the test sample, fitted with the same distribution.
(gen) |
(0,0) |
(50,0) |
(-50,0) |
(
, true) |
-1.12
1.41 |
17.92
1.39 |
-20.59
1.39 |
(
, exp.) |
1.00
3.69 |
48.94
3.38 |
-53.14
3.40 |
|
(gen, true) |
1.12
1.41 |
50.79
1.26 |
-49.21
1.28 |
The application of the polynomial expansion method is in principle effective for measuring
angle related observables. In practice it is successful only for the
decay mode, where
and
observables can be measured; for tau lepton decay modes the extraction is not possible due to both the larger resolution on the
angle and the form of the expected decay distributions. The method has not been attempted for
and
measurement because its application is complicated by the combined fit to
and
variables and the need for negative-valued fitting functions (following from the angular distribution described by (14)), which prevent the use of the standard maximum-likelihood fitting technique.
An alternative method for the measurement of
-violating observables, relying on counting rather than fitting, is explored in the next section.
4.3. Triple-Product Asymmetries
In Section 3.1 it was shown that
-violating observables related to
angle decay distributions can be extracted by defining suitable triple-product asymmetries (TPAs). The imperfect reconstruction of the
angle leads to an effective dilution of the asymmetries, but this experimental effect can still be subtracted exploiting
simulated events, and in a simpler way than for decay angular distribution fits. Moreover, since the
angle distribution is unbiased, a measured nonzero value for
-violating TPAs, even if not corrected for the experimental dilution, would anyway represent an observation of New Physics
-violation.
The subtraction of reconstruction effects consists in determining the relation between reconstructed TPAs and generated
-violating observables. The linear function
allows to infer
from the measured
with an uncertainty given by error propagation,
in which
represent the loss in sensitivity to
with respect to the uncertainty on the TPA.
The simulation study is set as follows. Simulated events are weighted to reproduce one of the
angle decay distributions at generation-level, as a function of the
-violating observables. TPAs are built from the reconstructed value of the
angle; for the distribution reported in (14) the
dependence is included to take into account uncertainties in the
sign determination. Three values for the corresponding
-conserving quantities
have been considered, but it is shown that they have no impact on the TPAs measurement. In fact,
and
terms still integrate to zero when computing asymmetries using reconstructed angles, since the
angle resolution distribution is not biased. The linear relation between reconstructed asymmetries and generated
-violating observables allows to correct for the dilution effects and to determine the decrease in precision from the inverse of the slope of the straight line.
The study is carried out for
, defined in equation (12), from the distribution equation (10),
, defined in (16), from the distribution equation (14) and
, defined in (13), from the distribution equation (19). The
relations for the three
decay modes are reported in Figure 13. They are the same for different
values within uncertainties. From TPA definitions follow that for perfect reconstruction the
factor is
for
and
, one for
. The decrease in precision from perfect reconstruction is summarized in Table 6 for the different asymmetries and decays.
Table 6
Decrease in precision on the
-violating observables with respect to perfect decay reconstruction, as determined from the slope of the
relation.
Penalty factor |
|
|
|
|
2.8 |
2.1 |
2.3 |
|
12.3 |
4.2 |
5.2 |
|
15.3 |
4.2 |
5.2 |
[figure omitted; refer to PDF]
The decrease in precision on
and
is compatible to that obtained in the previous section using maximum-likelihood fits: the “test” observable
can be measured in both lepton decay modes, while the huge penalty to be paid for the
measurement in the tau decay mode prevents a useful measurement without exploiting information additional to the reconstruction algorithm. On the contrary, the small decrease in precision between
and
shows that the effect of the integration of the
terms is modest and the measurement of the
-violating
observable is viable for both muon and tau decay modes. This allows to search for New Physics
-violation in
decays even at hadron collider experiments with a not prohibitive loss in sensitivity.
5. Discussion on Systematic Uncertainties
In the proposed measurements, there are two steps which can introduce systematic uncertainties: the extraction of
angular distributions from the template fit to the discriminating variables, via the
Plot technique, and the use of simulated events for both the detector efficiency correction and the determination of the polynomial expansions.
For the first step, the use of the
Plot statistical tool does not introduce additional systematic uncertainties to those related to the template fit itself, in which uncertainties in the modelling of the different contributing decays can lead to uncertainties in the fit results. LHCb
measurements [6, 7] have shown that these uncertainties can be controlled down to the size of statistical uncertainties. On the contrary, the considered angular observables do not depend directly on the fit results, and it has been shown in Section 2.4 that they are not correlated with the discriminating variables on which the template fit is based. Provided that this effect has to be properly evaluated, it is reasonable to expect the impact of these systematic sources to be smaller than for the
measurement.
Regarding the use of simulated events, uncertainties can follow from imprecisions in the detector simulation. The accuracy of detector simulation in particle physics experiment is routinely checked with respect to data, and remaining differences between real and simulated events are corrected exploiting suitable “control” decays as similar as possible to the transitions under study [6, 7]. Moreover, the simulation of the detector resolution due to the reconstruction algorithms, exploited to correct the observable values, is based upon the decay kinematics (particle momenta and decay vertex position distributions), which is easy to simulate with high accuracy. No significant differences between real and simulated angular distribution are thus expected and the associated systematic uncertainties can not have a significant impact.
Summarizing, the measurement of the
polarization fraction and
-violation observables should not be affected by additional systematic uncertainty sources with respect to the
measurements [6, 7]. Fit model and data-simulation discrepancies uncertainties, which have already been studied for the
measurements, are expected to have a smaller impact on the proposed measurements.
6. Conclusions
A simulation study for a forward detector geometry is performed to quantify the attainable precision on the
angular distributions, with the use of reconstruction algorithms estimating the
meson rest frame only from information related to the detectable final-state particles. This is of particular interest for hadron collider experiments. The resolution distributions have been found to be symmetric and unbiased for
and
variables, which also show negligible correlations with the discriminating quantities employed for selecting
decays, making
and
distributions suitable to be extracted using the
Plot statistical technique.
Observables related to
and
variables are the
longitudinal polarization fraction
, the
-conserving quantities
and the
-violating observables
. The latter are of particular interest being a null test of the Standard Model.
A method to correct the effect of reconstruction inaccuracies on the mentioned observables is tested on simulated
decays. The decrease in precision due to the employed reconstruction algorithms is evaluated. According to the simulation study, the
longitudinal polarization fraction is measurable for both muon and tau lepton decay modes with a maximum penalty in sensitivity of a factor 2. This permits an additional search for New Physics in
decays complementary to the already measured
ratio. The
-violating
observable can be measured from the associated triple-product asymmetry with a decrease in sensitivity of a factor 5, while the
observable is measurable only for
decays due to the form of the associated
angle distribution. It is also argued that systematic uncertainties associated to the proposed measurements do not have a large impact.
Conflicts of Interest
The author declares that there are no conflicts of interest.
Endnotes
1.
2.
3.
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