How Resonance-Continuum Interference Changes 750 GeV Diphoton Excess: Signal Enhancement and Peak Shift

How Resonance-Continuum Interference Changes 750 GeV Diphoton Excess:
Signal Enhancement and Peak Shift

Sunghoon Jung SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USAKorea Institute for Advanced Study, Seoul 130-722, Korea    Jeonghyeon Song SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USAKorea Institute for Advanced Study, Seoul 130-722, Korea    Yeo Woong Yoon SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USAKorea Institute for Advanced Study, Seoul 130-722, Korea

The new scalar resonance contribution to the 750 GeV diphoton excess observed at the LHC 13 TeV necessarily interferes with the continuum background in the . The interference has two considerable effects: (1) enhancing or suppressing diphoton signal rate due to the imaginary-part interference and (2) distorting resonance shape due to the real-part interference. From the best-fit study of two benchmark models (two Higgs doublets with 50 GeV widths and a singlet scalar with 5 GeV width, both extended with vector-like fermions), we find that the resonance contribution to the 750 GeV excess can be enhanced by a factor of 2(1.6) for 3(6) fb signal rate and the 68%(95%) CL best-fit mass range can shift by 1–4 (any ) GeV. If the best-fit excess rate decreases with future data, the interference effects will become more significant. The inevitable interferences can also provide a consistency check of a resonance hypothesis, whether or not future precision shape measurements confirm a Breit-Wigner shape or discover interesting deviations.

School of Physics, KonKuk University, Seoul 143-701, Korea\preprint


1 Introduction

Recently, mild excesses in diphoton invariant mass distribution have been observed in both ATLAS atlas:excess () and CMS cms:excess () experiments at Large Hadron Collider (LHC) 13 TeV running. The excesses are 3.6 and 2.6 significant from Standard Model (SM) hypothesis, respectively, and are found to prefer a new resonance at around 750 GeV decaying to diphotons atlas:excess (); cms:excess (); Falkowski:2015swt (). The excesses at LHC 13 are currently not completely inconsistent with no significant excesses at LHC 8 TeV data, e.g. Falkowski:2015swt (), and more data are needed to confirm or disfavor the resonance interpretation. The tantalizing hint of a new resonance triggered various theoretical proposals DiChiara:2015vdm (); Angelescu:2015uiz (); Buttazzo:2015txu (); Pilaftsis:2015ycr (); Franceschini:2015kwy (); Ellis:2015oso (); Gupta:2015zzs (); Higaki:2015jag (); McDermott:2015sck (); Low:2015qep (); Petersson:2015mkr (); Dutta:2015wqh (); Cao:2015pto (); Kobakhidze:2015ldh (); Cox:2015ckc (); Martinez:2015kmn (); Becirevic:2015fmu (); No:2015bsn (); Demidov:2015zqn (); Chao:2015ttq (); Fichet:2015vvy (); Curtin:2015jcv (); Bian:2015kjt (); Chakrabortty:2015hff (); Csaki:2015vek (); Bai:2015nbs (); Benbrik:2015fyz (); Kim:2015ron (); Gabrielli:2015dhk (); Alves:2015jgx (); Carpenter:2015ucu (); Bernon:2015abk (); Chao:2015nsm (); Han:2015cty (); Dhuria:2015ufo (); Han:2015dlp (); Luo:2015yio (); Chang:2015sdy (); Bardhan:2015hcr (); Feng:2015wil (); Cho:2015nxy (); Barducci:2015gtd (); Chakraborty:2015jvs (); Han:2015qqj (); Antipin:2015kgh (); Wang:2015kuj (); Cao:2015twy (); Huang:2015evq (); Heckman:2015kqk (); Bi:2015uqd (); Kim:2015ksf (); Cline:2015msi (); Bauer:2015boy (); Chala:2015cev (); Boucenna:2015pav (); deBlas:2015hlv (); Murphy:2015kag (); Hernandez:2015ywg (); Dey:2015bur (); Huang:2015rkj (); Patel:2015ulo (); Chakraborty:2015gyj (); Altmannshofer:2015xfo (); Cvetic:2015vit (); Allanach:2015ixl (); Cheung:2015cug (); Liu:2015yec (); Hall:2015xds (); Kang:2015roj () allegedly regarded to fit the 750 GeV excess rate fb. Also, both a narrow and a somewhat broad resonance with GeV can fit the data similarly well atlas:excess (); Falkowski:2015swt ().

The interference between a resonance and the SM continuum background, however, is inevitable Dicus:1987fk (); Dixon:2003yb (); Martin:2012xc (); Dixon:2013haa (); Martin:2013ula (); Coradeschi:2015tna (); Jung:2015gta (); Jung:2015sna () but has been ignored so far. The interference can have two considerable effects (see, e.g. Ref. Jung:2015gta ()):

  1. Enhancing or suppressing diphoton signal rate,

  2. Distorting resonance shape.

The effects can be especially sizable if the resonance width is at least comparable to experimental resolutions or bin sizes, GeV. For the 125 GeV SM Higgs boson, for example, even though it is narrow, the resulting peak-shift is MeV Dixon:2013haa (); Martin:2012xc () and will be comparable to the pole-mass measurement uncertainty soon (currently MeV Aad:2015zhl ()). For a 750 GeV -fused scalar resonance with fb diphoton rate, the resonance-continuum interference is generally large: the resonance-squared fb and the continuum background fb/40 GeV naively generate % relative interference effect. The interference is particularly large in the diphoton channel because the scalar resonance contribution is two-loop suppressed while the interfering continuum background is only one-loop as shown in Fig. 1, so that the above naive estimation of the relative interference is generally loop-factor enhanced Jung:2015gta (); Jung:2015sna ().

Figure 1: Representative Feynman diagrams of the interfering continuum background (left) and a scalar resonance signal (right) in the .

The two main interference effects are induced by different relative phases bewteen the resonance and the continuum processes. The real-part interference ( as will be defined and discussed) induces either peak-dip or dip-peak pattern added to a resonance peak, hence distorting the resonance shape from a pure resonance peak. On the other hand, the imaginary-part interference () simply rescales the resonance peak, hence enhancing or suppressing the resonance peak. The non-zero phase is generated when some particles running in loops are lighter than 375 GeV.

In this paper, we investigate each interference effect on the current 750 GeV excess data by considering two benchmark models that exhibit maximally enhanced signals (from the purely imaginary-part interference) or maximally distorted resonance shape (from the purely real-part interference) in the process. We first describe our method of calculating resonance shapes including interferences in Sec. 2.1 and the diphoton datasets and best-fit analysis method in Sec. 2.2. The two benchmark models are introduced and our main results are discussed in Sec. 3 and Sec. 4. Then we conclude and discuss prospects in Sec. 5.

2 Formalism and Analysis Method

2.1 Diphoton Rate and Resonance Shape

We consider a scalar resonance in the . It interferes with the one-loop continuum backgrounds shown in Fig. 1. The total differential cross section including the interference is written as

where is the parton luminosity (we use CT10NNLO PDF set Gao:2013xoa ()) and are the parton-level cross sections. The signal cross-section , the deviation from the SM background, consists of the resonance-squared and the resonance-continuum interference Jung:2015gta (),


where and , and we factor out Breit-Wigner (BW) parts. We define and the relative phase in terms of phase-space integrated squared amplitudes ()


and similarly for . The summation is over helicity and color indices, and is the scattering angle in the c.m. frame. We introduce a key parameter , defined by


which measures the relative size of interference.

For a narrow resonance (whose width is not much larger than experimental resolutions or bin sizes), the real part interference, the term proportional to in Eq. (2), is washed out after the integration over . Since the invariant mass distribution is highly accumulated near the resonance peak, we can consider parameters , and parton luminosity as constant values. Then the total signal rate with the interference effect, defined as , is obtained as Jung:2015gta ()


where quantifies the strength of the imaginary-part interference. Note that the terms inside the square bracket corresponds to the usual total rate in the narrow width approximation (NWA), production cross section times branching ratio. The subscript mNWA represents modified NWA. It is useful to express in terms of which is measured in experiments:


This is our resonance shape function for a narrow resonance.

For a broad resonance, with GeV, we now need to take into account the dependence of , and parton luminosity; they are not constant in anymore in broad resonance region. We redefine the total rate for a broad resonance by integrated differential rate, Eq. (2.1), around the resonance mass :


We set for our broad resonance example. We also use the following ratio


to quantify the strength of the imaginary-part interference for a broad resonance. This factor is approximately equal to the factor for a narrow resonance in Eq. (5).

The resonance shape function is parameterized not only by usual mass , width and the total rate but also by the relative interference phase . is not a completely independent parameter as shall be discussed. The purely real-part (imaginary-part) interference corresponds to (). The real-part interference induces peak-dip or dip-peak structure in addition to a BW peak while the imaginary-part interference either enhances or reduces the BW peak or convert the peak to a BW dip (without associated peak) Jung:2015gta (). Thus, the purely real-part interference can most significantly change the resonance shape from a BW peak while the purely imaginary-part interference can most significantly enhance the signal rate (or peak height). These two effects are our main topics; we will study two benchmark models for each of them.

It is hard to carry out a model-independent best-fit analysis including interference effects based on Eq. (2) and Eq. (6). The interference depends not only on , , , which are usually chosen in model-independent analysis without interference effects, but also on and . In particular, is correlated with , which is hard to obtain the analytic relation. In this regard we use two benchmark models to numerically discuss the interference effects. For the (purely) real-part interference, we consider a singlet model which introduces a CP-odd SM singlet scalar with a minimal set of vector-like quarks and vector-like leptons: see Sec. 3. For the (purely) imaginary-part interference, Type II 2HDM with vector-like leptons is to be studied: Sec. 4.

There is an important assumption in our implementation of higher-order corrections. We first normalize the total rate without interferences (equivalent to multiplying the correction factor to ) to the result obtained by HIGLU fortran package Spira:1995mt () which includes next-to-next-to-leading-order QCD and next-to-leading-order EW contributions. Then we multiply the same correction factor to the interference term , as no results are available. Although this assumption approximately accounts for higher-order corrections to the total rate, it implies that does not receive appreciable higher-order corrections. This may not be an unreasonable assumption since higher-order corrections to the resonance-squared and the resonance-continuum interference can be similar, hence cancelling out in their ratio . In any case, both the purely real-part and the purely imaginary-part interferences approximately grow with . Thus, any corrections to would directly affect what we discuss in this paper.

2.2 Dataset and Method

In order to quantitatively study interference effects on the 750 GeV diphoton excess data, we perform a Poissonian likelihood analysis to find the best fit. The dataset is from the latest LHC 8 and 13 TeV diphoton resonance search data at around GeV from both ATLAS and CMS experiments. We read in the predicted backgrounds and observed data from the reported plots in Refs. atlas:excess (); cms:excess (); Aad:2015mna (); Khachatryan:2015qba (). The total uncertainty in each bin is assumed to be statistical uncertainty for LHC 13 (8) TeV data.

The fit ranges considered in this paper are


We choose ATLAS 8 data bins closest to 630 and 830 GeV. The range is somewhat broad so that we can consider a broad resonance as well. CMS 13 dataset is divided into CMS EBEB 13 and CMS EBEE 13 categories depending on which parts of detectors identify photons. We consider them as independent datasets. Fiducial signal efficiencies are taken from the experimental references and Ref. Falkowski:2015swt ().

We carry out a -fit to all the data bins within the range, and take the total change of compared to the SM-fit (background-only), , as a measure of how well the model fits the data. Our SM-fit (background-only) results are:


for ATLAS 13, CMS EBEB 13, CMS EBEE 13, ATLAS 8, and CMS 8, respectively. The results are, of course, sensitive to the assumption of total uncertainties. As will be discussed, although CMS EBEE 13 and CMS 8 show worst fits, these data do not strongly support a 750 GeV resonance – various excesses and deficits around 750 GeV are not significantly fitted better with new resonance contributions. However, ATLAS 13 and CMS EBEB 13 data are fitted better with a new resonance at around 750 GeV. Our read-in data and model-independent fit results without interferences approximately agree with those in Ref. Falkowski:2015swt (); assuming a BW peak with both fixed GeV and with varying .

3 Singlet Model: Real-Part Interference

3.1 Singlet Model

Consider a CP-odd SM-singlet scalar , coupling to vector-like quarks and vector-like leptons


where are real Yukawa couplings, mass eigenvalues, number of fermions, and electric charges. We choose and from the minimal matter list DelNobile:2009st () – the list of new particles that can eventually decay to SM particles – since they have the largest electric charges. We consider , but shall also exhibit similar effects.

In the quark sector, we introduce a single vector-like with fixed parameters


We still have enough lepton sector free parameters that we can use to fit the data and to illustrate interference effects.

In the lepton sector, we consider


The sign of the Yukawa determines the sign of the relative phase: approximately changes the relative phase . It is an approximate relation because also contributes to the part although it is subdominant to the contribution. We will compare the results with positive and negative (as well as with the results without any interference accounted for) to see how the best-fit changes with interference effects.

Another important parameter is the width. In the above model, the width is typically too small ( GeV) to make interference effects apparent in current experiments; mainly decays to loop-induced and


where loop functions are defined as in Ref. Djouadi:2005gi (), and other signals such as are currently well below their LHC 8 sensitivities. If such a narrow resonance falls within a single experimental bin, the real-part interference (although itself is independent on the width) is cancelled out; in addition, the imaginary-part interference is small since it is directly proportional to the width as . Thus, to illustrate possible impacts of interference effects, we assume a bigger constant width


It is easy to add extra hidden decay modes of , not constrained at all, to make so. If the assumed width were much bigger than the true width, diphoton signal will be suppressed; but if the true width is bigger, the interference will become more relevant. Also, if the were smaller, although one can still have almost 100% BR(), the total width decreases and the interference effects will be less significant. Meanwhile, for , the decays into vector-like leptons dominate and the diphoton signal becomes too suppressed. Although such light leptons can change the phase and introduce different interference effects, we cannot fit the diphoton excess data well and do not discuss this possibility further.

An important feature of the singlet scalar model is that the relative phase is small:


which induces almost purely real-part interference. This is the case in which resonance shape is maximally distorted from pure BW shape (and the peak location is maximally shifted), for the given total rate. The small but non-zero phase is generated from the SM quark loops in background box diagrams.

3.2 Results – Singlet Model

Figure 2: Example diphoton resonance shapes with (dip-peak interference, blue-solid), (peak-dip interference, red-dashed), and no interference (green-dotted) for the same mass GeV and the NWA rate fb. The relative phase for induces almost purely real-part interference, and the resulting peak shifts and long tails affect best-fit analysis. The small imaginary-part interference also makes true observable mNWA rates and peak heights slightly different. We set and 5 GeV.

In Fig. 2 we show an example of the SM-singlet scalar resonance shapes for (blue-solid) and (red-dashed) with full interference effects. For comparison, we also show the resonance shape without any interferences taken into account (green-dotted). All three cases have the same NWA rates and the width . But induces a small dip-peak (peak-dip) interference pattern added to the BW peak, so that a long tail toward a high (low) invariant mass region appears and the peak shifts toward the same direction. As a result, the best-fit results change, even though the NWA rates, masses and widths are all the same. We quantify such interference effects in this subsection. The small but non-zero imaginary-part interference, Eq. (26), actually makes (true observable rate slightly different from the NWA rate; see Eq. (5)) and the peak heights slightly different among the three shapes.

Figure 3: The 68% CL(darker blue) and 95% CL(lighter blue) preferred regions for CP-odd singlet . (upper) and (lower) can be compared with each other (and with dashed lines for the 68% CL results without interferences accounted for) to see interference strength. =5 GeV. Fit is performed for GeV from ATLAS 13 (left, ) and CMS EBEB 13 (right, ) datasets. The best-fit mass ranges with positive and negative differ by GeV and the difference is bigger with weaker . The best-fit compared to the SM fit is also shown.

Figure 4: The 68% CL(darker blue) and 95% CL(lighter blue) preferred regions for CP-odd singlet . (upper) and (lower) can be compared with each other (and with dashed lines for the 68% CL results without interferences accounted for) to see interference strength. =5 GeV. Fit is performed for GeV from LHC 13 (left, ) and LHC 13+8 (right, ) datasets. The best-fit mass ranges with positive and negative differ by GeV and the difference is bigger with weaker . The best-fit compared to the SM fit is also shown.

Fig. 3 shows the best-fit results to ATLAS 13 (left) and CMS EBEB 13 (right) datasets individually, for a singlet scalar model with (upper) and (lower). For comparison, we also show the results without any interferences accounted for (dashed). These datasets are the ones that most strongly prefer the existence of a 750 GeV resonance, and the interference effect does not change the preference of the resonance existence; the data fit much better with a new resonance around 750 GeV even with interferences. Comparing the upper panels for with the lower panels for , we find that the 68% CL best-fit mass parameter is shifted by about 1–4 GeV while a much bigger shift GeV is expected for the 95% CL region or for weaker couplings . Meanwhile, similar magnitudes of couplings are preferred regardless of interference effects. For with dip-peak interference, the peak shifts toward high-mass region and the high-mass region is more accumulated (see Fig. 2); consequently, somewhat smaller masses are preferred compared to the case (and to the case without interferences).

The interference effects are still apparent, even after including all other LHC 13 and LHC 8 datasets that do not strongly prefer the existence of an additional resonance. This is shown in Fig. 4; the 68% CL best-fit regions again shift by about 1–4 GeV and a bigger shift is expected for the 95% CL region or for weaker couplings . The preference of an additional resonance also still exists with interference effects.

There is a noticeable tendency that interference effects become stronger with a weaker , as can be deduced from a wider best-fit mass shift with a weaker in Fig. 3 and Fig. 4. This is a general result of interference; the real-part interference approximately grows with amplitude ratio, which measures the background-resonance interference contribution compared to the resonance-squared contribution. If future data prefer to a weaker signal, the interference effects will be larger and more important.

Finally, we briefly compare best-fit results to various datasets. that compared to the ATLAS 13 result in Fig. 3, the CMS EBEB 13 prefers to a resonance with a slightly higher mass and weaker coupling. But the preferences of a new resonance around 750 GeV from both data are consistent with each other. Including LHC 8 datasets in Fig. 4 significantly prefers to a weaker coupling and actually worsens the best-fit (total in the right panel decreased from the left panel). This may imply that the LHC 8 datasets do not strongly favor the resonance contribution. Future data can only clarify the origin of the excess.

4 VLL-2HDM: Imaginary-Part Interference

4.1 VLL-2HDM Model

We consider the Type II two-Higgs-Double-Model (2HDM) in the alignment limit extended with extra vector-like leptons (VLL). We first summarize the (heavy) Higgs sector and then introduce the VLL sector.

The Higgs sector consists of three neutral Higgs bosons, , (scalar), (pseudo-scalar) and two charged Higgs bosons . In the alignment limit, the is the 125 GeV SM Higgs boson, and the heavier Higgs bosons, and , are our focus in this paper. To be consistent with electroweak precision data and to explain the diphoton excess, we consider a degenerate heavy Higgs bosons


In the alignment limit with small as we will focus in this paper111The parameter space of at is excluded by the 8 TeV LHC data large:tb:exclusion:LHC ()., the 2HDM alone cannot explain the diphoton excess. It is mainly because the heavy Higgs bosons dominantly decay to the top pair (the decays to and are forbidden in the alignment limit), and the relevant the diphoton branching ratio is only for , leading to too small signal rates . Thus, we extend the model by extra VLL to achieve the needed 400 enhancement of diphoton signal.

      (1, 2, )
(1, 1, )
 (1, 1, )
Table 1: The contents and quantum numbers of vector-like leptons in the VLL-2HDM model. The electric charges of the doublet components are .

We now introduce VLLs, , , , , , of which the quantum numbers are summarized in Table 1. Note that the electric charges of and are and , respectively. All of the VLLs in Table 1 are imbedded in one family. The Lagrangian of the VLLs in Type II 2HDM is


The mass matrix in the basis of is


We have similar form of by changing . We focus on the no-mixing case, which is possible if and . Then the light masses of and are degenerate as . The heavy masses are and , which suppresses the contribution from and . We do not consider the mass below since the new decay channels of raise the total width quickly. We also assume that and for simplicity.

The Yukawa terms for the VLLs in the mass eigenstate basis become


where and .

The partial decay widths of in the VLL-2HDM are


where , the relative Yukawa couplings normalized by the SM values are , and for Type II in the aligned 2HDM, and the loop functions are referred to Ref. Djouadi:2005gi (). The VLL contributions in Eq. (22) are given as


In order to greatly enhance the partial decay width through VLL loop one needs multiple number of VLL families. In the following analysis we introduce 3 VLL families. We vary from to and from to .

The final comment is on the constraint from the Higgs precision data. As shown Eq. (22), the VLL loop also contributes to , which is already very limited by the 8 TeV LHC data. If two Yukawa couplings and are tuned as


new contribution to the Higgs precision data vanishes if and are degenerate in mass . If , the cancellation of the VLL contributions to equally happens to the decay. Since the diphoton signal is usually larger than the one if no cancellation occurs, we choose in the analysis. Other exclusion limits from  Zr (),  bb (),  tautau (), and  jj () channels at the 8 TeV LHC are satisfied in the parameter space under consideration.

4.2 Results – VLL-2HDM Model

We first discuss the total widths of and , both of which are dominated by the decay channel. Using the running top quark mass  Chetyrkin:2000yt (), we have . Since the degenerate and do not interfere, we treat them as BW peaks. We perform a minimum analysis (see Sec. 2.2) and find the best-fit signal rates to the LHC 13+8 datasets


which are in agreement with Ref. Falkowski:2015swt ().

In our scenario of VLL-2HDM the relative interference phase corresponds to almost imaginary interference:


The reasons are as follows. The complex phase from the continuum background amplitude is minor Jung:2015sna (). But the production part is dominated by top quark loop and the loop function generate large complex phase: for . In addition, the decay part , dominated by VLL loop contribution, is also real since in our scenario. Depending on the sign of Yukawa coupling , the whole complex phase is changed by . It maximally enhances the signal rate for (constructive interference) and maximally suppress the signal rate for (destructive interference).

Figure 5: (Upper): Contour plots for (solid lines) and (dashed line) in the plane of VLL-2HDM model. (Lower): The 68% CL(, darker oranger) and 95% CL (lighter orange) best-fit regions are shown. For comparison, the 68% CL results without interferences accounted for are also shown as hatched regions. (Left): induces signal suppression. (Right): induces signal enhancement.

Figure 5 shows our results in the parameter space for the VLL-2HDM: the in Eq. (8) (upper panels) and the allowed parameter space by the 750 GeV diphoton excess data (lower panels). It is of great interest that quite large interference effects (large ) appear around the measured total signal rate, as shown in Figs. 5(a) and (b). For , and thus constructive interference occurs: the interference effect can make even factor 2 for the total rate. Within the 68% CL best-fit signal rate the interference effect ranges from to when . For , so that destructive interference occurs: in order to explain the signal rate, we need quite large magnitude of and thus very limited parameter space is allowed. Figures 5(c) and (d) show that the allowed parameter space significantly change by including the interference effect. For comparison, we show the allowed parameter region without including interference effects. With positive and , for example, required for the signal rate is reduced from to by including the interference effects. Equivalently, the change of required number of VLL family is from 3 to 4. In all, interference effects have significant implications on the underlying physics.

457 2   99   123   2.6   5.9   3.5   1
413 4   93   108   1.6   3.0   2.0   3
400 6   91   104   1.3   2.1   1.6   6
385       0.38   0.20   0.32   1
395       0.54   0.21   0.43   3
Table 2: Numerical values for , , and for , and the total. The benchmark parameter points are chosen to yield total signal rates of . VLL-2HDM model.

In Table 2, we present the numerical values for , , and . The benchmark parameter points are chosen to yield total signal rates of . In order to see the individual interference effects, we show and for and separately. For both and , the relative interference phase is about : almost purely imaginary interference occurs. and show that the interference effects are larger for than for . This is attribute to different loop functions and thus different positions for the vanishing real part of the corresponding loop functions. One crucial result is that the interference effects become larger with decreasing signal rate . For 1 fb signal rate, for example, the enhancement factor due to the interference can be as large as a factor of three. It is very possible that the current signal rate is fluctuated up and the future precision measurement may lead to lower signal rate. Then the interference effects become crucial.

5 Conclusions and Discussions

We have investigated the impacts of the resonance-continuum interference in the process on the the recently observed 750 GeV diphoton excess. The two most important interference effects – maximal signal enhancement from the purely imaginary-part interference and maximal shape distortion from the purely real-part interference – have been studied in two benchmark models. First, a CP-odd singlet scalar (extended with vector-like fermions) represents the purely real-part interference case, and it predicts that the 68%(95%) CL best-fit mass range shifts by 1–4 (any ) GeV. The shift is expected to be larger with a weaker coupling parameter space, which will be more preferred if the excess rate decreases in the future. Second, the heavy Higgs bosons in the two-Higgs-doublet-model (extended with vector-like leptons) represent the purely imaginary-part interference case, and the diphoton resonance signal is found to be enhanced or suppressed by a factor of 2(1.6) for 3(6) fb signal rate. Again, the effect is bigger for a weaker coupling parameter space.

Although our results are obtained with benchmark models, any scalar resonance in the process with similar widths and total rates would exhibit similar sizes of interference effects; and the relative phase between the resonance and the continuum will determine the type of interference effects. For the given diphoton rate and the phase , the total width is the most important parameter. If the width is much smaller than the current resolution GeV, the real-part interference will cancel out and the imaginary-part interference will be small in proportion to the width. If a resonance is very broad, a careful study of resonance shape including its -dependence shall be carried out, regardless of interference effects, based on our formalism and method presented in this paper.

The future precision shape measurements and interpretations taking into account the resonance-continuum interference can provide important information and consistency check of a new resonance. One can not only test a BW resonance hypothesis but also measure (and the rate, mass, width). Such precision observables, in particular , can subsequently be interpreted in terms of the properties of new particles running in loops. Remarkably, if any noticeable deviations from a BW shape can be fit well with the real-part interference, this would just be another convincing evidence of a new resonance.


The work of SJ is supported by the US Department of Energy under contract DE-AC02-76SF00515. The work of JS is supported by NRF-2013R1A1A2061331. The work of YWY is supported by NRF-2012R1A2A1A01006053. We thank KIAS Center for Advanced Computation for providing computing resources.


  • (1) ATLAS Collaboration, ATLAS-CONF-2015-081
  • (2) CMS Collaboration, CMS-PAS-EXO-15-004
  • (3) A. Falkowski, O. Slone and T. Volansky, arXiv:1512.05777 [hep-ph].
  • (4) S. Di Chiara, L. Marzola and M. Raidal, arXiv:1512.04939 [hep-ph].
  • (5) A. Angelescu, A. Djouadi and G. Moreau, arXiv:1512.04921 [hep-ph].
  • (6) D. Buttazzo, A. Greljo and D. Marzocca, arXiv:1512.04929 [hep-ph].
  • (7) A. Pilaftsis, arXiv:1512.04931 [hep-ph].
  • (8) R. Franceschini et al., arXiv:1512.04933 [hep-ph].
  • (9) J. Ellis, S. A. R. Ellis, J. Quevillon, V. Sanz and T. You, arXiv:1512.05327 [hep-ph].
  • (10) R. S. Gupta, S. Jäger, Y. Kats, G. Perez and E. Stamou, arXiv:1512.05332 [hep-ph].
  • (11) T. Higaki, K. S. Jeong, N. Kitajima and F. Takahashi, arXiv:1512.05295 [hep-ph].
  • (12) S. D. McDermott, P. Meade and H. Ramani, arXiv:1512.05326 [hep-ph].
  • (13) M. Low, A. Tesi and L. T. Wang, arXiv:1512.05328 [hep-ph].
  • (14) C. Petersson and R. Torre, arXiv:1512.05333 [hep-ph].
  • (15) B. Dutta, Y. Gao, T. Ghosh, I. Gogoladze and T. Li, arXiv:1512.05439 [hep-ph].
  • (16) Q. H. Cao, Y. Liu, K. P. Xie, B. Yan and D. M. Zhang, arXiv:1512.05542 [hep-ph].
  • (17) A. Kobakhidze, F. Wang, L. Wu, J. M. Yang and M. Zhang, arXiv:1512.05585 [hep-ph].
  • (18) P. Cox, A. D. Medina, T. S. Ray and A. Spray, arXiv:1512.05618 [hep-ph].
  • (19) R. Martinez, F. Ochoa and C. F. Sierra, arXiv:1512.05617 [hep-ph].
  • (20) D. Becirevic, E. Bertuzzo, O. Sumensari and R. Z. Funchal, arXiv:1512.05623 [hep-ph].
  • (21) J. M. No, V. Sanz and J. Setford, arXiv:1512.05700 [hep-ph].
  • (22) S. V. Demidov and D. S. Gorbunov, arXiv:1512.05723 [hep-ph].
  • (23) W. Chao, R. Huo and J. H. Yu, arXiv:1512.05738 [hep-ph].
  • (24) S. Fichet, G. von Gersdorff and C. Royon, arXiv:1512.05751 [hep-ph].
  • (25) D. Curtin and C. B. Verhaaren, arXiv:1512.05753 [hep-ph].
  • (26) L. Bian, N. Chen, D. Liu and J. Shu, arXiv:1512.05759 [hep-ph].
  • (27) J. Chakrabortty, A. Choudhury, P. Ghosh, S. Mondal and T. Srivastava, arXiv:1512.05767 [hep-ph].
  • (28) C. Csaki, J. Hubisz and J. Terning, arXiv:1512.05776 [hep-ph].
  • (29) Y. Bai, J. Berger and R. Lu, arXiv:1512.05779 [hep-ph].
  • (30) R. Benbrik, C. H. Chen and T. Nomura, arXiv:1512.06028 [hep-ph].
  • (31) J. S. Kim, J. Reuter, K. Rolbiecki and R. R. de Austri, arXiv:1512.06083 [hep-ph].
  • (32) E. Gabrielli, K. Kannike, B. Mele, M. Raidal, C. Spethmann and H. Veermäe, arXiv:1512.05961 [hep-ph].
  • (33) A. Alves, A. G. Dias and K. Sinha, arXiv:1512.06091 [hep-ph].
  • (34) L. M. Carpenter, R. Colburn and J. Goodman, arXiv:1512.06107 [hep-ph].
  • (35) J. Bernon and C. Smith, arXiv:1512.06113 [hep-ph].
  • (36) W. Chao, arXiv:1512.06297 [hep-ph].
  • (37) C. Han, H. M. Lee, M. Park and V. Sanz, arXiv:1512.06376 [hep-ph].
  • (38) M. Dhuria and G. Goswami, arXiv:1512.06782 [hep-ph].
  • (39) H. Han, S. Wang and S. Zheng, arXiv:1512.06562 [hep-ph].
  • (40) M. x. Luo, K. Wang, T. Xu, L. Zhang and G. Zhu, arXiv:1512.06670 [hep-ph].
  • (41) J. Chang, K. Cheung and C. T. Lu, arXiv:1512.06671 [hep-ph].
  • (42) D. Bardhan, D. Bhatia, A. Chakraborty, U. Maitra, S. Raychaudhuri and T. Samui, arXiv:1512.06674 [hep-ph].
  • (43) T. F. Feng, X. Q. Li, H. B. Zhang and S. M. Zhao, arXiv:1512.06696 [hep-ph].
  • (44) W. S. Cho, D. Kim, K. Kong, S. H. Lim, K. T. Matchev, J. C. Park and M. Park, arXiv:1512.06824 [hep-ph].
  • (45) D. Barducci, A. Goudelis, S. Kulkarni and D. Sengupta, arXiv:1512.06842 [hep-ph].
  • (46) I. Chakraborty and A. Kundu, arXiv:1512.06508 [hep-ph].
  • (47) X. F. Han and L. Wang, arXiv:1512.06587 [hep-ph].
  • (48) O. Antipin, M. Mojaza and F. Sannino, arXiv:1512.06708 [hep-ph].
  • (49) F. Wang, L. Wu, J. M. Yang and M. Zhang, arXiv:1512.06715 [hep-ph].
  • (50) J. Cao, C. Han, L. Shang, W. Su, J. M. Yang and Y. Zhang, arXiv:1512.06728 [hep-ph].
  • (51) F. P. Huang, C. S. Li, Z. L. Liu and Y. Wang, arXiv:1512.06732 [hep-ph].
  • (52) J. J. Heckman, arXiv:1512.06773 [hep-ph].
  • (53) X. J. Bi, Q. F. Xiang, P. F. Yin and Z. H. Yu, arXiv:1512.06787 [hep-ph].
  • (54) J. S. Kim, K. Rolbiecki and R. R. de Austri, arXiv:1512.06797 [hep-ph].
  • (55) J. M. Cline and Z. Liu, arXiv:1512.06827 [hep-ph].
  • (56) M. Bauer and M. Neubert, arXiv:1512.06828 [hep-ph].
  • (57) M. Chala, M. Duerr, F. Kahlhoefer and K. Schmidt-Hoberg, arXiv:1512.06833 [hep-ph].
  • (58) S. M. Boucenna, S. Morisi and A. Vicente, arXiv:1512.06878 [hep-ph].
  • (59) J. de Blas, J. Santiago and R. Vega-Morales, arXiv:1512.07229 [hep-ph].
  • (60) C. W. Murphy, arXiv:1512.06976 [hep-ph].
  • (61) A. E. C. Hernández and I. Nisandzic, arXiv:1512.07165 [hep-ph].
  • (62) U. K. Dey, S. Mohanty and G. Tomar, arXiv:1512.07212 [hep-ph].
  • (63) W. C. Huang, Y. L. S. Tsai and T. C. Yuan, arXiv:1512.07268 [hep-ph].
  • (64) K. M. Patel and P. Sharma, arXiv:1512.07468 [hep-ph].
  • (65) S. Chakraborty, A. Chakraborty and S. Raychaudhuri, arXiv:1512.07527 [hep-ph].
  • (66) W. Altmannshofer, J. Galloway, S. Gori, A. L. Kagan, A. Martin and J. Zupan, arXiv:1512.07616 [hep-ph].
  • (67) M. Cvetič, J. Halverson and P. Langacker, arXiv:1512.07622 [hep-ph].
  • (68) B. C. Allanach, P. S. B. Dev, S. A. Renner and K. Sakurai, arXiv:1512.07645 [hep-ph].
  • (69) K. Cheung, P. Ko, J. S. Lee, J. Park and P. Y. Tseng, arXiv:1512.07853 [hep-ph].
  • (70) J. Liu, X. P. Wang and W. Xue, arXiv:1512.07885 [hep-ph].
  • (71) L. J. Hall, K. Harigaya and Y. Nomura, arXiv:1512.07904 [hep-ph].
  • (72) S. K. Kang and J. Song, arXiv:1512.08963 [hep-ph].
  • (73) S. Di Chiara, L. Marzola and M. Raidal, arXiv:1512.04939 [hep-ph].
  • (74) D. A. Dicus and S. S. D. Willenbrock, Phys. Rev. D 37, 1801 (1988).
  • (75) L. J. Dixon and M. S. Siu, Phys. Rev. Lett. 90, 252001 (2003) [hep-ph/0302233].
  • (76) S. P. Martin, Phys. Rev. D 86, 073016 (2012) [arXiv:1208.1533 [hep-ph]].
  • (77) S. P. Martin, Phys. Rev. D 88, no. 1, 013004 (2013) doi:10.1103/PhysRevD.88.013004 [arXiv:1303.3342 [hep-ph]].
  • (78) L. J. Dixon and Y. Li, Phys. Rev. Lett. 111, 111802 (2013) doi:10.1103/PhysRevLett.111.111802 [arXiv:1305.3854 [hep-ph]].
  • (79) F. Coradeschi, D. de Florian, L. J. Dixon, N. Fidanza, S. Höche, H. Ita, Y. Li and J. Mazzitelli, Phys. Rev. D 92, no. 1, 013004 (2015) doi:10.1103/PhysRevD.92.013004 [arXiv:1504.05215 [hep-ph]].
  • (80) S. Jung, J. Song and Y. W. Yoon, Phys. Rev. D 92, no. 5, 055009 (2015) doi:10.1103/PhysRevD.92.055009 [arXiv:1505.00291 [hep-ph]].
  • (81) S. Jung, J. Song and Y. W. Yoon, arXiv:1510.03450 [hep-ph].
  • (82) G. Aad et al. [ATLAS and CMS Collaborations], Phys. Rev. Lett. 114, 191803 (2015) doi:10.1103/PhysRevLett.114.191803 [arXiv:1503.07589 [hep-ex]].
  • (83) G. Aad et al. [ATLAS Collaboration], Phys. Rev. D 92, no. 3, 032004 (2015) doi:10.1103/PhysRevD.92.032004 [arXiv:1504.05511 [hep-ex]].
  • (84) V. Khachatryan et al. [CMS Collaboration], Phys. Lett. B 750, 494 (2015) doi:10.1016/j.physletb.2015.09.062 [arXiv:1506.02301 [hep-ex]].
  • (85) E. Del Nobile, R. Franceschini, D. Pappadopulo and A. Strumia, Nucl. Phys. B 826, 217 (2010) doi:10.1016/j.nuclphysb.2009.10.004 [arXiv:0908.1567 [hep-ph]].
  • (86) L. Bergstrom and G. Hulth, Nucl. Phys. B 259, 137 (1985) [Nucl. Phys. B 276, 744 (1986)]. doi:10.1016/0550-3213(85)90302-5
  • (87) J. F. Gunion and H. E. Haber, Phys. Rev. D 67, 075019 (2003); G. C. Branco, P. M. Ferreira, L. Lavoura, M. N. Rebelo, M. Sher and J. P. Silva, Phys. Rept. 516, 1 (2012).
  • (88) M. Spira, hep-ph/9510347.
  • (89) A. Djouadi, Phys. Rept. 457, 1 (2008) doi:10.1016/j.physrep.2007.10.004 [hep-ph/0503172].
  • (90) G. Aad et al. [ATLAS Collaboration], JHEP 1411, 056 (2014) [arXiv:1409.6064 [hep-ex]]; V. Khachatryan et al. [CMS Collaboration], JHEP 1410, 160 (2014) [arXiv:1408.3316 [hep-ex]]; A. Djouadi, L. Maiani, A. Polosa, J. Quevillon and V. Riquer, JHEP 1506, 168 (2015) [arXiv:1502.05653 [hep-ph]].
  • (91) G. Aad et al. [ATLAS Collaboration], Phys. Lett. B 738, 428 (2014) [arXiv:1407.8150 [hep-ex]].
  • (92) V. Khachatryan et al. [CMS Collaboration], JHEP 1511, 071 (2015) [arXiv:1506.08329 [hep-ex]].
  • (93) G. Aad et al. [ATLAS Collaboration], JHEP 1411, 056 (2014) [arXiv:1409.6064 [hep-ex]].
  • (94) G. Aad et al. [ATLAS Collaboration], Phys. Rev. D 91, no. 5, 052007 (2015) [arXiv:1407.1376 [hep-ex]].
  • (95) J. Gao et al., Phys. Rev. D 89, no. 3, 033009 (2014) doi:10.1103/PhysRevD.89.033009 [arXiv:1302.6246 [hep-ph]].
  • (96) K. G. Chetyrkin, J. H. Kuhn and M. Steinhauser, Comput. Phys. Commun. 133, 43 (2000) doi:10.1016/S0010-4655(00)00155-7 [hep-ph/0004189].
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