1. Introduction
Lorentz invariance, the foundational symmetry of Einstein’s relativity, has survived in a wide range of tests over the past century [1]. However, many quantum gravity models seeking to unify general relativity and quantum theory predict that Lorentz symmetry may be violated at energies approaching the Planck scale GeV [2,3,4,5,6,7,8,9]. While these energies are unreachable experimentally, tiny deviations from Lorentz invariance at attainable energies can accumulate to detectable levels over sufficiently large distances. Astrophysical observations involving long propagation distances can therefore provide precision tests of Lorentz invariance.
In the photon sector, one effect of Lorentz invariance violation (LIV) is an energy-dependent vacuum dispersion of light, which causes arrival-time delays of photons with different energies originating from a given astrophysical source [10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26]. LIV models can also lead to vacuum birefringence, which produces an energy-dependent rotation of the polarization vector of linearly polarized light [27,28,29,30,31,32,33,34,35,36,37,38]. Generally, these effects can be anisotropic, such that arrival-time differences and polarization rotations possess a direction dependence and require observations of point sources along many lines of sight or measurements of extended sources such as the cosmic microwave background to fully explore the LIV model parameter space [15,16,36].
The Standard-Model Extension (SME) is an effective field theory that characterizes Lorentz and CPT violations at attainable energies [39,40,41]. It considers additional Lorentz and/or CPT-violating terms to the SME Lagrange density, which can be ordered by the mass dimension d of the tensor operator [16]. Photon vacuum dispersion introduced by operators of dimension d () is proportional to . Lorentz-violating operators with even d preserve CPT symmetry, while those with odd d break CPT. All coefficients of odd d produce both vacuum dispersion and birefringence, whereas for each even d there is a subset of nonbirefringent but dispersive Lorentz-violating coefficients. The latter can be well constrained through vacuum dispersion time-of-flight measurements. It should be stressed that at least sources distributed evenly in the sky are needed to fully constrain the anisotropic Lorentz-violating coefficient space for a given d. In contrast, only one source is required to fully constrain the corresponding coefficient in the isotropic LIV limit. That is, the restriction to isotropic LIV disregards possible effects from anisotropic violations at each d.
Thanks to their small variability time scales, large cosmological distances, and very high-energy photons, gamma-ray bursts (GRBs) are viewed as one of the ideal probes for testing Lorentz invariance through the dispersion method [10,13,14]. Direction-dependent limits on several combinations of coefficients for Lorentz violation have been placed using vacuum-dispersion constraints from GRBs. For example, limits on combinations of the 25 nonbirefringent Lorentz-violating coefficients have been derived by studying the dispersion of light in observations of GRB 021206 [15,42], GRB 080916C [16,17], four bright GRBs [19], GRB 160625B [22], and GRB 190114C [24]. Bounds on combinations of the 49 coefficients for nonbirefringent vacuum dispersion have been derived from GRB 021206 [15,42], GRB 080916C [16,17], GRB 160625B [22], and GRB 190114C [24]. However, most of these studies limit attention to the time delay induced by nonbirefringent Lorentz-violating effects, while ignoring possible source-intrinsic time delays. Furthermore, the limits from GRBs are based on the rough time delay of a single highest-energy photon. To obtain reliable LIV limits, it is desirable to use the true time lags of high-quality and high-energy light curves in different energy multi-photon bands.
In two previous papers [22,24], we derived new direction-dependent limits on combinations of coefficients for Lorentz-violating vacuum dispersion using the peculiar time-of-flight measurements of GRB 160625B and GRB 190114C, which both have obvious transitions from positive to negative spectral lags. Spectral lag, which is defined as the arrival-time difference of high- and low-energy photons, is a ubiquitous feature in GRBs [43,44,45]. Conventionally, the spectral lag is considered to be positive when high-energy photons arrive earlier than the low-energy ones. By fitting the spectral-lag behaviors of GRB 160625B and GRB 190114C, we obtained both a reasonable formulation of the intrinsic energy-dependent time lag and robust constraints on a variety of isotropic and anisotropic Lorentz-violating coefficients with mass dimension and 8 [22,24]. In this work, we analyze the spectral-lag transition features of 32 GRBs [25], and derive limits on photon vacuum dispersion for all of them. We combine these limits with previous results in order to fully constrain the nonbirefringent Lorentz-violating coefficients with and 8.
The paper is structured as follows. In Section 2, we briefly describe the theoretical framework of vacuum dispersion in the SME. In Section 3, we introduce our analysis method, and then present our resulting constraints on the Lorentz-violating coefficients. The physical implications of our results are discussed in Section 4. Finally, we summarize our main conclusions in Section 5.
2. Theoretical Framework
In the SME framework, the LIV-induced modifications to the photon dispersion relation can be described in the form [15,16]
(1)
where p is the photon momentum. The symbols , and are the combinations of coefficients for LIV that depend on the momentum and direction of propagation. These four combinations can be decomposed on a spherical harmonic basis to yield(2)
where is the direction of the source and represents spin-weighted harmonics of spin weight s. The coordinates of are in a Sun-centered celestial-equatorial frame [46], such that and R.A., where R.A. and Dec. are the right ascension and declination of the astrophysical source, respectively.With the above decomposition, all types of LIV for vacuum propagation can be characterized using four sets of spherical coefficients: , , and for CPT-even effects and for CPT-odd effects. For each coefficient, the relevant Lorentz-violating operator has mass dimension d and eigenvalues of total angular momentum written as . The coefficients are associated with CPT-even operators causing dispersion without leading-order birefringence, while nonzero coefficients , , and produce birefringence. In the present work, we focus on the nonbirefringent vacuum dispersion coefficients . Setting all other coefficients for birefringent propagation to zero, the group-velocity defect including anisotropies is given by
(3)
in terms of the photon energy E. Note that the factor refers to the difference between group and phase velocities [22]. For even , nonzero values of imply an energy-dependent vacuum dispersion of light, so two photons with different energies () emitted simultaneously from the same astrophysical source at redshift z would be observed at different times. The arrival-time difference can therefore be derived as [15](4)
where and are the arrival times of photons with observed energies and , respectively. In the flat CDM model, the Hubble expansion rate is expressed as , where km is the Hubble constant, is the matter density, and is the cosmological constant energy density [47]. In the SME case of a direction-dependent LIV, we constrain the combination as a whole. For the limiting case of the vacuum isotropic model (), all the terms in the combination become zero except . In that case, we constrain a single coefficient.3. Constraints on Anisotropic LIV
By systematically analyzing the spectral lags of 135 long GRBs with redshift measurement, Liu et al. [25] identified 32 of them having well-defined transitions from positive to negative spectral lags. For each GRB, Liu et al. [25] extracted its multi-band light curves and calculated the spectral time lags for any pair of light curves between the lowest-energy band and any other higher-energy bands. In Figure 1, we plot the time lags of each burst as a function of energy. One can see that all GRBs exhibit a positive-to-negative lag transition. In this section, we utilize the spectral-lag transitions of these 32 GRBs to pose direction-dependent constraints on combinations of nonbirefringent Lorentz-violating coefficients and . The 32 GRBs used in our study are listed in Table 1, which includes the following information for each burst: its name, the right ascension coordinate, the declination coordinate, and the redshift z.
In view of the LIV-induced time delay, is likely to be accompanied by an intrinsic time delay caused by the emission mechanism of GRBs [13,21,22,57]; the observed spectral lag should consist of two terms
(5)
In principle, it is hard to model the intrinsic lag behavior because of the unknown GRB emission mechanism. As previous works have excluded some nonbirefringent Lorentz-violating effects with a high level of confidence (e.g., [19]), it is reasonable to assume that the observed spectral lag is dominated by the intrinsic time lag, and the LIV-induced time lag is negligible. Statistically, the time lags of these 32 GRBs first increase and then decrease with the energies in the form of an approximate broken power-law function, i.e., the broken power-law model is in fact an accurate representation of the energy dependence of the intrinsic time lag. Hence, as Liu et al. [25] conducted in their treatment, we adopt a smoothly broken power-law (SBPL) function to model the intrinsic energy-dependent time lag,(6)
where is the normalization amplitude, is the median value of the lowest energy band of each GRB, and are the power-law indices before and after the break energy , and measures the smoothness of the transition. In order to ensure that is consistent with the observed lag behavior displaying a transition from positive to negative lags, we require the term in Equation (5) not to dominate over . That is, we require .We fit the lag-energy measurements of each GRB using the theoretical model as shown in Equations (4)–(6). The free parameters (, , , , and ) of the SBPL function and the combination of SME coefficients are simultaneously estimated by using the Markov chain Monte Carlo (MCMC) technique. The Python MCMC module EMCEE [58] is adopted to explore the posterior probability distributions of these parameters. The log-likelihood sampled by EMCEE is given by
(7)
where is the uncertainty of the ith lag measurement , is obtained from Equation (5), and denotes the free parameters. In our analysis, we choose wide flat priors for s, , , , and keV. The prior of the combination of SME coefficients is set as a uniform distribution in the range of [, ] for , or [, ] for . Note that the spectral-lag transition from positive to negative is for the power-law indices ( and ) when fitting the observed lag-energy data.The resulting constraints from the observed lag-energy data of each GRB are presented in Table 2. For each value in turn, the best-fit results and 2 uncertainties are provided for the parameters , , , and and for the direction-dependent combination of Lorentz-violating coefficients. Table 2 also provides estimated constraints at the 95% confidence level for the corresponding coefficients in the restrictive isotropic limit . To illustrate the goodness of fits, the theoretical curves obtained from the best-fit values are plotted in Figure 1 for models with and coefficients. Moreover, Figure 2 shows an example of the posterior probability distributions of the free parameters for GRB 130427A. The probability distributions for models with and coefficients are presented in the upper and lower panels of Figure 2, respectively. The corresponding distributions for other GRBs are qualitatively similar.
4. Discussion
Estimating from the 95% confidence levels in Table 2, most of our constraints on are consistent with zero within the confidence level, implying that there is no convincing evidence for LIV. However, the results from GRB 131231A, GRB 160625B, GRB 190114C, GRB 200829A, and GRB 210619B are incompatible with zero at the , , , , and , respectively. Given the fact that there is a significant deviation from the null hypothesis of no LIV in 5 out of 32 GRBs, here, we examine the statistical significance of the evidence for a non-zero LIV spectral lag. We fit the data to an additional hypothesis that the time lags are only due to the intrinsic astrophysical mechanisms given by Equation (6). Once we obtain the best-fit parameters, we then proceed to carry out model comparison using the Akaike Information Criterion (AIC) by treating the case of only intrinsic astrophysical emission as the null hypothesis. The AIC score of each fitted model is given as , where f is the number of model-free parameters [59,60]. With characterizing model , the un-normalized confidence that this model is true is the Akaike weight . The relative probability of being the correct model in a one-to-one comparison is then
(8)
It is easy to see that the model with less AIC score is the one more preferred by this criterion. According to the AIC model selection criterion, we find that compared with the LIV () model, the no-LIV model can be discarded as having a probability of being correct of only for GRB 131231A, for GRB 160625B, for GRB 190114C, for GRB 200829A, and for GRB 210619B. These results suggest that the evidence against the null hypothesis is very strong. However, the deviation of spectral-lag behavior from the SBPL model, even if present in these five GRBs, cannot be due to Lorentz-violating effects, as this would contradict with previous upper limits and must therefore be of intrinsic astrophysical origin. Since the SBPL model does not correctly describe the intrinsic lag behavior of these five GRBs, their resulting constraints on LIV can only be considered as artificial upper limits. In other words, if a more accurate model for the intrinsic lag behavior is adopted for these five GRBs, more stringent limits on LIV could be achieved.It is worth emphasizing that most of the previous works were carried out by concentrating on the rough time lag of a single highest-energy photon and neglecting the source-intrinsic time lag. Performing a search for Lorentz-violating effects using the true multi-photon spectral-lag data and considering the intrinsic time-lag problem, as performed in this work, is therefore crucial. Although our method relies on a particular model of the GRB lag transition, our resulting constraints can still be deemed as comparatively robust.
In our analysis, we adopt the Hubble constant km inferred from cosmic microwave background observations under CDM [47]. However, this value is in tension with that measured from local distance ladders ( km ) [61]. Given the Hubble tension, we next consider whether the prior affects our constraints on the SME coefficients. We also perform a parallel analysis of the lag-energy data of GRB 130427A using a different prior. When varies from to km , we find that the limit on the combination of SME coefficients varies from to . It is obvious that the choice of a different value has only a minimal influence on the results.
Liu et al. [25] derived limits on isotropic linear and quadratic leading-order Lorentz-violating vacuum dispersion using the same 32 GRBs. Since the linear and quadratic LIV parameters in the vacuum isotropic model are global and direction-independent, they were able to obtain the statistical distributions of the LIV parameters upon fitting the entire sample of 32 GRBs (see Figure 3 of [25]). In this work, however, we consider anisotropic Lorentz-violating vacuum dispersion, along with direction-dependent effects. For each GRB, we derive a limit on one direction-specific combination of Lorentz-violating coefficients. Thus, it is not feasible to conduct a global fit on the LIV parameters by taking into account all GRBs (as Liu et al. [25] carried out in their treatment) in the vacuum anisotropic model.
5. Summary
Lorentz-violating effects on the vacuum propagation of electromagnetic waves, allowing for arbitrary mass dimension d, are well described in the SME effective field theory. Operators of odd dimension d lead to both an energy-dependent vacuum dispersion and vacuum birefringence, whereas for each even d there is a subset of nonbirefringent Lorentz-violating operators leading to an anisotropic photon dispersion. Lorentz-violating terms with even d are characterized by a set of real coefficients, which can be constrained through astrophysical time-of-flight measurements from or more directions in the sky. In this work, we focus on measuring coefficients controlling nonbirefringent vacuum dispersion with and 8.
We perform a search for Lorentz-violating photon dispersion from the muti-photon spectral-lag data of 32 GRBs, all of whom have well-defined transitions from positive to negative spectral lags. The spectral-lag transitions can help to distinguish the possible time delay induced by Lorentz-violating effects from any source-intrinsic time delay in different energy bands. Moreover, unlike most of the previous works that rely on using the rough time lag of a single highest-energy photon, these 32 GRBs have high photon statistics, allowing the use of the true time lags of broad light curves in multi-photon bands of different energies. By fitting the spectral-lag data of 32 GRBs, we obtain robust constraints on coefficients for Lorentz violation. The results are listed in Table 2.
A compilation of existing astrophysical limits on Lorentz-violating coefficients obtained through the photon dispersion method can be found in ref. [1]. For the case of , our constraints are not competitive with existing bounds but can be deemed as comparatively robust. For , only a few bounds were obtained on the 49 coefficients for nonbirefringent dispersion. Our new constraints have the promise to complement existing SME constraints.
Conceptualization, J.-J.W. and X.-F.W.; Formal analysis, J.-N.W.; Investigation, J.-N.W.; Methodology, Z.-K.L. and B.-B.Z.; Project administration, J.-J.W.; Software, Z.-K.L. and B.-B.Z.; Supervision, J.-J.W. and X.-F.W.; Validation, Z.-K.L. and B.-B.Z.; Writing—original draft, J.-N.W. and J.-J.W.; Writing—review & editing, B.-B.Z. and X.-F.W. All authors have read and agreed to the published version of the manuscript.
The data underlying this article are available in the article and Liu et al. [
We are grateful to the anonymous referees for helpful comments. J.-J.W. would like to thank the participants of the Ninth Meeting on CPT and Lorentz Symmetry (Bloomington, Indiana, 17–26 May 2022) for helpful discussions that led to the creation of this article. We also acknowledge the use of public data from the Fermi Science Support Center (FSSC).
The authors declare no conflict of interest.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Figure 1. Energy dependence of the observed spectral lag [Forumla omitted. See PDF.] of each GRB in our sample, and the best-fit theoretical curves. Blue solid lines: model with [Forumla omitted. See PDF.] coefficients. Red dashed lines: model with [Forumla omitted. See PDF.] coefficients.
Figure 1. Energy dependence of the observed spectral lag [Forumla omitted. See PDF.] of each GRB in our sample, and the best-fit theoretical curves. Blue solid lines: model with [Forumla omitted. See PDF.] coefficients. Red dashed lines: model with [Forumla omitted. See PDF.] coefficients.
Figure 2. Upper panel: 1D and 2D posterior probability distributions with the 1-2[Forumla omitted. See PDF.] contours for the parameters ([Forumla omitted. See PDF.], [Forumla omitted. See PDF.], [Forumla omitted. See PDF.], [Forumla omitted. See PDF.], and [Forumla omitted. See PDF.]) and vacuum coefficients with [Forumla omitted. See PDF.] for GRB 130427A. Best-fit values are highlighted by vertical solid lines, whereas [Forumla omitted. See PDF.] deviations from the best-fit values are indicated by vertical dashed lines. Lower panel: same but for the analysis with [Forumla omitted. See PDF.] coefficients.
List of 32 GRBs with spectral-lag transitions.
R.A. | Dec. | Redshift | ||
---|---|---|---|---|
Name | J2000 [ |
J2000 [ |
z 1 | Ref. 2 |
GRB 080916C | 119.8 | −56.6 | 4.35 | [ |
GRB 081221 | 15.8 | −24.5 | 2.26 | [ |
GRB 090328 | 155.7 | +33.4 | 0.736 | [ |
GRB 090618 | 294.0 | +78.4 | 0.54 | [ |
GRB 090926A | 353.4 | −66.3 | 2.1062 | [ |
GRB 091003A | 251.5 | −36.6 | 0.8969 | [ |
GRB 100728A | 88.8 | −15.3 | 1.567 | [ |
GRB 120119A | 120.0 | −9.8 | 1.728 | [ |
GRB 130427A | 173.1 | +27.7 | 0.3399 | [ |
GRB 130518A | 355.7 | +47.5 | 2.488 | [ |
GRB 130925A | 41.2 | −26.1 | 0.347 | [ |
GRB 131108A | 156.5 | +9.7 | 2.40 | [ |
GRB 131231A | 10.6 | −1.6 | 0.642 | [ |
GRB 140206A | 145.3 | +66.8 | 2.73 | [ |
GRB 140508A | 255.5 | +46.8 | 1.027 | [ |
GRB 141028A | 322.6 | −0.2 | 2.33 | [ |
GRB 150314A | 126.7 | +63.8 | 1.758 | [ |
GRB 150403A | 311.5 | −62.7 | 2.06 | [ |
GRB 150514A | 74.8 | −60.9 | 0.807 | [ |
GRB 150821A | 341.9 | −57.9 | 0.755 | [ |
GRB 160509A | 310.1 | +76.0 | 1.17 | [ |
GRB 160625B | 308.6 | +6.9 | 1.41 | [ |
GRB 171010A | 66.6 | −10.5 | 0.3285 | [ |
GRB 180703A | 6.5 | −67.1 | 0.6678 | [ |
GRB 180720B | 0.59 | −3.0 | 0.654 | [ |
GRB 190114C | 54.5 | −26.9 | 0.425 | [ |
GRB 200613A | 153.0 | +45.8 | 1.22 | [ |
GRB 200829A | 251.1 | +72.4 | 1.25 | [ |
GRB 201216C | 16.4 | +16.5 | 1.10 | [ |
GRB 210204A | 109.1 | +9.7 | 0.876 | [ |
GRB 210610B | 243.9 | +14.4 | 1.13 | [ |
GRB 210619B | 319.7 | +33.9 | 1.937 | [ |
1 All source redshifts were obtained from Liu et al. [
95% C.L. constraints on the SME coefficients and the parameters of the SBPL function.
Name |
|
d |
|
|
|
|
|
|
---|---|---|---|---|---|---|---|---|
GRB 080916C |
|
6 |
|
|
|
|
|
|
8 |
|
|
|
|
|
|
||
GRB 081221 |
|
6 |
|
|
|
|
|
|
8 |
|
|
|
|
|
|
||
GRB 090328 |
|
6 |
|
|
|
|
|
|
8 |
|
|
|
|
|
|
||
GRB 090618 |
|
6 |
|
|
|
|
|
|
8 |
|
|
|
|
|
|
||
GRB 090926A |
|
6 |
|
|
|
|
|
|
8 |
|
|
|
|
|
|
||
GRB 091003A |
|
6 |
|
|
|
|
|
|
8 |
|
|
|
|
|
|
||
GRB 100728A |
|
6 |
|
|
|
|
|
|
8 |
|
|
|
|
|
|
||
GRB 120119A |
|
6 |
|
|
|
|
|
|
8 |
|
|
|
|
|
|
||
GRB 130427A |
|
6 |
|
|
|
|
|
|
8 |
|
|
|
|
|
|
||
GRB 130518A |
|
6 |
|
|
|
|
|
|
8 |
|
|
|
|
|
|
||
GRB 130925A |
|
6 |
|
|
|
|
|
|
8 |
|
|
|
|
|
|
||
GRB 131108A |
|
6 |
|
|
|
|
|
|
8 |
|
|
|
|
|
|
||
GRB 131231A |
|
6 |
|
|
|
|
|
|
8 |
|
|
|
|
|
|
||
GRB 140206A |
|
6 |
|
|
|
|
|
|
8 |
|
|
|
|
|
|
||
GRB 140508A |
|
6 |
|
|
|
|
|
|
8 |
|
|
|
|
|
|
||
GRB 141028A |
|
6 |
|
|
|
|
|
|
8 |
|
|
|
|
|
|
||
GRB 150314A |
|
6 |
|
|
|
|
|
|
8 |
|
|
|
|
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||
GRB 150403A |
|
6 |
|
|
|
|
|
|
8 |
|
|
|
|
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||
GRB 150514A |
|
6 |
|
|
|
|
|
|
8 |
|
|
|
|
|
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||
GRB 150821A |
|
6 |
|
|
|
|
|
|
8 |
|
|
|
|
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||
GRB 160509A |
|
6 |
|
|
|
|
|
|
8 |
|
|
|
|
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||
GRB 160625B |
|
6 |
|
|
|
|
|
|
8 |
|
|
|
|
|
|
||
GRB 171010A |
|
6 |
|
|
|
|
|
|
8 |
|
|
|
|
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||
GRB 180703A |
|
6 |
|
|
|
|
|
|
8 |
|
|
|
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||
GRB 180720B |
|
6 |
|
|
|
|
|
|
8 |
|
|
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||
GRB 190114C |
|
6 |
|
|
|
|
|
|
8 |
|
|
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||
GRB 200613A |
|
6 |
|
|
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|
8 |
|
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||
GRB 200829A |
|
6 |
|
|
|
|
|
|
8 |
|
|
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||
GRB 201216C |
|
6 |
|
|
|
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|
|
8 |
|
|
|
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||
GRB 210204A |
|
6 |
|
|
|
|
|
|
8 |
|
|
|
|
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|
||
GRB 210610B |
|
6 |
|
|
|
|
|
|
8 |
|
|
|
|
|
|
||
GRB 210619B |
|
6 |
|
|
|
|
|
|
8 |
|
|
|
|
|
|
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Abstract
The observed spectral lags of gamma-ray bursts (GRBs) have been widely used to explore possible violations of Lorentz invariance. However, these studies were generally performed by concentrating on the rough time lag of a single highest-energy photon and ignoring the intrinsic time lag at the source. A new way to test nonbirefringent Lorentz-violating effects has been proposed by analyzing the multi-photon spectral-lag behavior of a GRB that displays a positive-to-negative transition. This method gives both a plausible description of the intrinsic energy-dependent time lag and comparatively robust constraints on Lorentz-violating effects. In this work, we conduct a systematic search for Lorentz-violating photon dispersion from the spectral-lag transition features of 32 GRBs. By fitting the spectral-lag data of these 32 GRBs, we place constraints on a variety of isotropic and anisotropic Lorentz-violating coefficients with mass dimension
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1 Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China; School of Astronomy and Space Sciences, University of Science and Technology of China, Hefei 230026, China; Guangxi Key Laboratory for Relativistic Astrophysics, Nanning 530004, China
2 School of Astronomy and Space Science, Nanjing University, Nanjing 210023, China; Key Laboratory of Modern Astronomy and Astrophysics (Nanjing University), Ministry of Education, Nanjing 210023, China
3 Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China; School of Astronomy and Space Sciences, University of Science and Technology of China, Hefei 230026, China