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11institutetext: Jun-Jie Wei 22institutetext: Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China 33institutetext: School of Astronomy and Space Sciences, University of Science and Technology of China, Hefei 230026, China
33email: [email protected]
44institutetext: Xue-Feng Wu 55institutetext: Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China 66institutetext: School of Astronomy and Space Sciences, University of Science and Technology of China, Hefei 230026, China
66email: [email protected]

Tests of Lorentz Invariance

Jun-Jie Wei and Xue-Feng Wu corresponding authorcorresponding author
Abstract

Lorentz invariance is a fundamental symmetry of both Einstein’s theory of general relativity and quantum field theory. However, deviations from Lorentz invariance at energies approaching the Planck scale are predicted in many quantum gravity theories seeking to unify the force of gravity with the other three fundamental forces of matter. Even though any violations of Lorentz invariance are expected to be very small at observable energies, they can increase with energy and accumulate to detectable levels over large distances. Astrophysical observations involving high-energy emissions and long baselines can therefore offer exceptionally sensitive tests of Lorentz invariance. With the extreme features of astrophysical phenomena, it is possible to effectively search for signatures of Lorentz invariance violations (LIV) in the photon sector, such as vacuum dispersion, vacuum birefringence, photon decay, and photon splitting. All of these potential signatures have been studied carefully using different methods over the past few decades. This chapter attempts to review the status of our current knowledge and understanding of LIV, with particular emphasis on a summary of various astrophysical tests that have been used to set lower limits on the LIV energy scales.

Keywords:
Lorentz invariance, Astroparticle physics, Quantum gravity, Relativity and gravitation

1 Introduction

Einstein’s theory of general relativity gives a classical description of gravity, and the Standard Model of particle physics is a well-tested quantum theoretical model of particles and all fundamental forces except gravity. They provide an excellent description of nature together at experimentally attainable energies. However, at the Planck scale (EPl=c5/G1.22×1019E_{\rm Pl}=\sqrt{\hbar c^{5}/G}\simeq 1.22\times 10^{19} GeV), a more fundamental quantum theory of gravity is required, which would be a giant leap towards unification of all fundamental forces. A correct and consistent unification scheme has long been the Holy Grail of modern physics. Several quantum gravity (QG) theories that attempt to unify general relativity and the standard Model at the Planck scale predict that Lorentz invariance may be broken at this energy scale, perhaps due to the underlying quantized nature of spacetime 1989PhRvD..39..683K ; 1991NuPhB.359..545K ; 1995PhRvD..51.3923K ; 2005LRR…..8….5M ; 2005hep.ph….6054B ; 2013LRR….16….5A ; 2014RPPh…77f2901T ; 2021FrPhy..1644300W . Therefore, the dedicated experimental searches for violations of Lorentz invariance may help to clear the path to a unification theory. Such experimental tests obtained from a wide range of systems have been compiled in Ref. 2011RvMP…83…11K .

Although any deviations from Lorentz invariance are supposed to be very tiny at attainable energies EPl\ll E_{\rm Pl}, they can increase with energy and over large distances due to cumulative process in particle propagation. Astrophysical observations involving high energies and long baselines can therefore provide the most sensitive tests of Lorentz invariance. In the photon sector, the potential signatures of Lorentz invariance violations (LIV) include vacuum dispersion, vacuum birefringence, photon decay, photon splitting, and so on 2008ApJ…689L…1K ; 2001APh….16…97S .

Vacuum dispersion would produce an energy-dependent velocity of light, which would lead to arrival-time differences between promptly emitted photons with different energies traveling over astrophysical distances. Astrophysical time-of-flight measurements can therefore be used to test Lorentz invariance (e.g., Refs. 1998Natur.393..763A ; 2006APh….25..402E ; 2008JCAP…01..031J ; 2008ApJ…689L…1K ; 2009PhRvD..80a5020K ; 2009Sci…323.1688A ; 2009Natur.462..331A ; 2012APh….36…47C ; 2012PhRvL.108w1103N ; 2013PhRvD..87l2001V ; 2013APh….43…50E ; 2015PhRvD..92d5016K ; 2015APh….61..108Z ; 2017ApJ…834L..13W ; 2017ApJ…842..115W ; 2017ApJ…851..127W ; 2019PhRvD..99h3009E ; PhysRevLett.125.021301 ; 1999PhRvL..83.2108B ; Kaaret1999 ). Similarly, the effects of vacuum birefringence would accumulate over cosmological distances resulting in a measurable rotation of the polarization plane of linearly polarized photons as a function of energy. Thus, Lorentz invariance can also be tested with astrophysical polarization measurements (e.g., Refs. 1990PhRvD..41.1231C ; 1998PhRvD..58k6002C ; 2001PhRvD..64h3007G ; 2001PhRvL..87y1304K ; 2006PhRvL..97n0401K ; 2007PhRvL..99a1601K ; 2013PhRvL.110t1601K ; 2003Natur.426Q.139M ; 2004PhRvL..93b1101J ; 2007MNRAS.376.1857F ; 2009JCAP…08..021G ; 2011PhRvD..83l1301L ; 2011APh….35…95S ; 2012PhRvL.109x1104T ; 2013MNRAS.431.3550G ; 2014MNRAS.444.2776G ; 2016MNRAS.463..375L ; 2017PhRvD..95h3013K ; 2019PhRvD..99c5045F ; 2019MNRAS.485.2401W ). Since time-of-flight measurements are less sensitive than polarization measurements by a factor 1/E\propto 1/E, where EE is the energy of the light, time-of-flight measurements typically place less stringent limits on LIV 2009PhRvD..80a5020K . However, numerous predicted signals of LIV have no vacuum birefringence, so constraints from time-of-flight measurements are indispensable in a broad-based search for nonbirefringent Lorentz-violating effects.

Besides the measurements of time-of-flight and polarization, astrophysical spectrum measurements can also be used to test Lorentz invariance (e.g., Refs. 2001APh….16…97S ; 2017PhRvD..95f3001M ; 2019JCAP…04..054A ; 2019EPJC…79.1011S ; 2020PhRvL.124m1101A ; 2021arXiv210507927C ; 2021arXiv210612350T ). This is because superluminal LIV allows photons to decay at high energies. Photons decay into electron-positron pairs proceed over very short distances (centimeters or less) once above the energy threshold of the decay process, which would result in a hard cutoff in the gamma-ray spectra of astrophysical sources 2017PhRvD..95f3001M . Another superluminal LIV decay process, photon splitting into multiple photons, also predicts a cutoff at the highest energy part of the photon spectra of astrophysical sources 2019JCAP…04..054A ; 2019EPJC…79.1011S . Experimental searches for LIV-induced spectral cutoff have therefore been carried out in the observed spectra of several astrophysical sources 2017PhRvD..95f3001M ; 2019JCAP…04..054A ; 2019EPJC…79.1011S ; 2020PhRvL.124m1101A ; 2021arXiv210507927C ; 2021arXiv210612350T .

In this chapter, we summarize the current status on astrophysical tests of Lorentz invariance and attempt to chart the future of the subject. We start by reviewing the recent achievements in sensitivity of vacuum dispersion time-of-flight measurements. After that, we overview the progresses on LIV tests through the effects of vacuum birefringence, photon decay, and photon splitting. Finally, we present a summary and future prospect.

2 Vacuum dispersion

2.1 Modified photon dispersion relation

Compared to the standard energy-momentum relationship in Einstein’s special relativity, the introduction of LIV can induce modifications to the photon dispersion relation in vacuum, which can be described using a Taylor series 1998Natur.393..763A :

E2p2c2(1±n=1an),E^{2}\simeq p^{2}c^{2}\left(1\pm\sum_{n=1}^{\infty}a_{n}\right)\;, (1)

where EE and pp are the energy and momentum of the photon, respectively, cc is the Lorentz-invariant speed of light, and an=(E/EQG,n)na_{n}=(E/E_{{\rm QG},n})^{n} is a dimensionless expansion coefficient. Also, EQG,nE_{{\rm QG},n} is the hypothetical energy scale at which QG effects become significant. At small energies EEQG,nE\ll E_{{\rm QG},n}, the sum is dominated by the lowest-order term of the series. Considering the sensitivity of current detectors, only the first two leading terms (n=1n=1 or n=2n=2) are of interest for independently experimental searches. They are often referred to as linear and quadratic energy-dependent modifications, respectively. The energy-dependent photon group velocity can therefore be derived as

υ(E)=Epc[1±1+n2(EEQG,n)n],\upsilon(E)=\frac{\partial E}{\partial p}\approx c\left[1\pm\frac{1+n}{2}\left(\frac{E}{E_{{\rm QG},n}}\right)^{n}\right]\;, (2)

where the sign ±\pm allows for the “superluminal” (++) or “subluminal” (-) scenarios.

Owing to the energy dependence of υ(E)\upsilon(E), two photons with different energies radiated simultaneously from the same source would travel at different speeds, thus arriving at the observer at different times. For example, in the subluminal case (where high-energy photons are slower), the photon with a higher energy (denoted by EhE_{h}) would arrive with respect to the photon with a lower energy (ElE_{l}) by a time delay 2008JCAP…01..031J

ΔtLIV=thtl=(1+n)2H0EhnElnEQG,nn0z(1+z)ndzΩm(1+z)3+ΩΛ𝑑z,\Delta t_{\rm LIV}=t_{h}-t_{l}=\frac{(1+n)}{2H_{0}}\frac{E_{h}^{n}-E_{l}^{n}}{E_{{\rm QG},n}^{n}}\int_{0}^{z}\frac{(1+z^{\prime})^{n}dz^{\prime}}{\sqrt{\Omega_{\rm m}(1+z^{\prime})^{3}+\Omega_{\Lambda}}}dz^{\prime}\;, (3)

where tht_{h} and tlt_{l} represent the observed arrival times of the high- and low-energy photons, respectively, and zz is the redshift of the source. Here H0H_{0}, Ωm\Omega_{\rm m}, and ΩΛ\Omega_{\Lambda} are cosmological parameters of the standard Λ\LambdaCDM model.

In principle, Lorentz invariance can be tested using the observed time delays of photons with different energies arising in astronomical sources. However, it is difficult to exclude the possibility that the energy-dependent delays are of pure astrophysical origins. In order to prove the existence of LIV, one needs to systematically collect numerous delay events and demonstrate that they all match the prediction of LIV (Eq. (3)).

On the contrary, it is relatively simple to place limits on the non-existence of LIV at a certain energy scale. A smaller-than-expected observed delay of high-energy photons with respect to low-energy photons can be used to discard a given model. More specifically, a conservative lower limit on the QG energy scale EQGE_{\rm QG} can be placed under the assumption that the observed time delay is mainly contributed by the LIV effects.

2.2 Present constraints from time-of-flight measurements

It is obvious from Eq. (3) that a potential LIV-induced time delay is predicted to be an increasing function of the photon energy and the source distance. Additionally, a short timescale of the signal variability provides a natural reference time to measure the energy-dependent delay more easily. The greatest sensitivities on EQG,nE_{{\rm QG},n} can therefore be expected from those violent astrophysical phenomena with high-energy emissions, large distances, and short time delays. The first attempt to constrain LIV by exploiting the rapid variations of gamma-ray emissions from astrophysical sources at cosmological distances was presented in Ref. 1998Natur.393..763A . As of now, transient or variable sources such as gamma-ray bursts (GRBs), active galactic nuclei (AGNs), and pulsars form a group of excellent candidates for searching for the LIV-induced vacuum dispersion.

Gamma-ray bursts

GRBs are among the most distant gamma-ray transients in the Universe and their prompt emission light curves vary on subsecond timescales. As such, GRBs are ideal probes that one can use to perform LIV tests. There have been lots of LIV studies by applying various analysis techniques on the time-of-flight measurements of GRBs.

Some of the pre-Fermi constraints are those by Ref. Ellis2003 using BATSE GRBs; by Ref. 2004ApJ…611L..77B using RHESSI observations of GRB 021206; by Ref. 2008ApJ…676..532B using HETE-2 GRBs; by Ref. 2008GReGr..40.1731L using INTEGRAL GRBs; by Ref. 2006JCAP…05..017R using Konus-Wind and Swift observations of GRB 051221A; by Refs. 2006APh….25..402E ; 2008APh….29..158E using BATSE, HETE-2, and Swift GRBs; and by Ref. 2017ApJ…851..127W using Swift GRBs. Much more stringent constraints on LIV, however, have been obtained using Fermi observations, entirely thanks to the unprecedented sensitivity for detecting GRB prompt MeV/GeV emission by the Large Area Telescope (LAT) onboard the Fermi satellite. These tighter constraints include those by the Fermi Gamma-Ray Burst Monitor (GBM) and LAT Collaborations using GRBs 080916C 2009Sci…323.1688A and 090510 2009Natur.462..331A ; by Ref. 2009PhRvD..80k6005X using GRB 090510; and by Refs. 2010APh….33..312S ; 2012APh….36…47C ; 2012PhRvL.108w1103N ; 2013PhRvD..87l2001V ; 2019PhRvD..99h3009E using multiple Fermi GRBs. Remarkably, Ref. 2009Natur.462..331A studied the time-of-flight effect by analyzing the arrival time lag between the highest energy (31 GeV) photon and low-energy photons from GRB 090510. The burst was localized at z=0.903z=0.903. Fermi/LAT detected this 31 GeV photon 0.829 s after the GBM trigger. Assuming the 31 GeV photon was emitted at the GBM trigger time, the time delay between the highest energy photon and low-energy (trigger) photons is then ΔtLIV<829\Delta t_{\rm LIV}<829 ms. This gives the most conservative constraint on the linear LIV energy scale EQG,1>1.19EPlE_{{\rm QG},1}>1.19E_{\rm Pl}. If the 31 GeV photon is assumed to be associated with the contemporaneous <1<1 MeV spike, one therefore has ΔtLIV<10\Delta t_{\rm LIV}<10 ms, which gives the most radical constraint EQG,1>102EPlE_{{\rm QG},1}>102E_{\rm Pl}. These results obviously disfavor the linear LIV models requiring EQG,1EPlE_{{\rm QG},1}\leq E_{\rm Pl}, and are in good agreement with Lorentz invariance. Subsequently, Ref. 2013PhRvD..87l2001V adopted three different techniques to constrain the degree of dispersion observed in the data of four Fermi/LAT GRBs. For the subluminal case, their constraints from GRB 090510, namely EQG,1>7.6EPlE_{{\rm QG},1}>7.6E_{\rm Pl} and EQG,2>1.3×1011GeVE_{{\rm QG},2}>1.3\times 10^{11}~{}\mathrm{GeV} for linear and quadratic leading-order LIV-induced vacuum dispersion, further improved previous results by a factor of 2\sim 2. On 2019 January 14, the Major Atmospheric Gamma Imaging Cherenkov (MAGIC) telescopes discovered a gamma-ray signal above 0.2 TeV from GRB 190114C, recording the most energetic photons ever detected from a GRB 2019Natur.575..455M . The MAGIC Collaboration used this unique observation to test the dependence of the speed of light in vacuum on its energy PhysRevLett.125.021301 . They obtained competitive lower limits on the quadratic LIV energy scale, namely EQG,2>6.3×1010GeVE_{{\rm QG},2}>6.3\times 10^{10}~{}\mathrm{GeV} (EQG,2>5.6×1010GeVE_{{\rm QG},2}>5.6\times 10^{10}~{}\mathrm{GeV}) for the subluminal (superluminal) case.

Generally, Lorentz invariance has been tested with high accuracy using the spectral lags111Spectral lag is defined as the arrival time delay between correlated photons with different energies (or between light curves in different energy bands). of GRBs. A key challenge in such time-of-flight tests, however, is to distinguish an intrinsic time lag at the source from a delay induced by LIV. Possible source-intrinsic effects caused by the unknown emission mechanism could cancel-out or enhance the LIV-induced time delay, which would impact the reliability of the resulting constraints on LIV.

Any effects of LIV would increase with the redshift of the source (see Eq. (3)), whereas source-intrinsic effects might be independent of the redshift. Therefore, Refs. Ellis2003 ; 2006APh….25..402E ; 2008APh….29..158E proposed working on a statistical sample of GRBs with different redshifts to disentangle the intrinsic time lag problem. For each GRB, Ref. 2006APh….25..402E extracted the spectral lag in the light curves recorded in the selected observer-frame energy bands 25–55 and 115–320 keV. To account for the unknown intrinsic time lag, they fitted the observed arrival time delays of 35 GRBs with the inclusion of a term bsfb_{\rm sf} specified in the GRB source frame. That is, the observed spectral lags are fitted by two components, Δtobs=ΔtLIV+bsf(1+z)\Delta t_{\rm obs}=\Delta t_{\rm LIV}+b_{\rm sf}(1+z), reflecting the contributions from both the LIV and source-intrinsic effects 2006APh….25..402E . Such parametrization allows one to derive a simple linear fitting function:

Δtobs1+z=aLVK+bsf,\frac{\Delta t_{\rm obs}}{1+z}=a_{\rm LV}K+b_{\rm sf}\;, (4)

where

K=1(1+z)0z(1+z)dzh(z)K=\frac{1}{(1+z)}\int_{0}^{z}\frac{(1+z^{\prime})dz^{\prime}}{h(z^{\prime})} (5)

is a non-linear redshift function which is related to the specific cosmological model, the slope aLV=ΔE/(H0EQG)a_{\rm LV}=\Delta E/(H_{0}E_{\rm QG}) is connected to the energy scale of LIV, and the intercept bsfb_{\rm sf} stands for the unknown intrinsic time lag inherited from the sources. Also, h(z)=Ωm(1+z)3+ΩΛh(z)=\sqrt{\Omega_{\rm m}(1+z)^{3}+\Omega_{\Lambda}} is the dimensionless expansion rate at zz, where the standard flat Λ\LambdaCDM model with parameters Ωm=0.3\Omega_{\rm m}=0.3 and ΩΛ=1Ωm\Omega_{\Lambda}=1-\Omega_{\rm m} is adopted. Note that the linear LIV correction (n=1n=1) for the subluminal case (-) was considered in this work. Ref. 2008APh….29..158E compiled the rescaled time lags Δtobs/(1+z)\Delta t_{\rm obs}/(1+z) extracted from 35 light curve pairs as functions of the variable KK and performed a linear regression analysis of the available data. The linear fit corresponds to Δtobs1+z=(0.0068±0.0067)K(0.0065±0.0046)\frac{\Delta t_{\rm obs}}{1+z}=(0.0068\pm 0.0067)K-(0.0065\pm 0.0046). With the corresponding upper limit on the slope parameter aLVa_{\rm LV}, as well as the energy difference between two observer-frame energy bands ΔE\Delta E, the 95% confidence-level lower limit on the linear LIV energy scale is EQG1.4×1016E_{\rm QG}\geq 1.4\times 10^{16} GeV 2008APh….29..158E . Going beyond the Λ\LambdaCDM cosmology, Refs. 2009CQGra..26l5007B ; 2015ApJ…808…78P extended this analysis to other different cosmological models, finding the result is only weakly sensitive to the background cosmology. Some cosmology-independent techniques were furthermore applied to this kind of analysis 2018PhLB..776..284Z ; 2020ApJ…890..169P .

It is worth pointing out that Ref. 2006APh….25..402E extracted the spectral lag of each GRB in the light curves between two fixed observer-frame energy bands. However, due to the fact that different GRBs have different redshift measurements, these two observer-frame energy bands actually correspond to a different pair of energy bands in the GRB source frame 2012MNRAS.419..614U , thus potentially introducing an artificial energy dependence to the extracted spectral lag and/or systematic uncertainties to the search for LIV-induced lags.222For those cosmological sources with various redshifts, their observer-frame quantities can be quite different than the corresponding source-frame ones. However, note that if we focus on the observer-frame quantities of individual cosmological sources, there is no such a problem. This problem can be solved by choosing two appropriate energy bands fixed in the GRB source frame and estimating the observed time lag for two projected observer-frame energy bands by the relation Eobserver=Esource/(1+z)E_{\rm observer}=E_{\rm source}/(1+z), Ref. 2012MNRAS.419..614U showed that the correlation between observer-frame lags and source-frame lags for the same GRB sample has a large scatter, supporting that the source-frame lag can not be directly represented by the observer-frame lag. Therefore, when analyzing the LIV effects in a large sample of cosmological sources with different redshifts, it would be good to use the spectral lags extracted in the source frame. Ref. 2015MNRAS.446.1129B investigated the source-frame spectral lags of 56 GRBs observed by Swift/Burst Alert Telescope (BAT). This sample has redshifts ranging from 0.35 (GRB 061021) to 5.47 (GRB 060927). For each GRB, they extracted light curves for two observer-frame energy bands corresponding to the fixed source-frame energy bands 100–150 and 200–250 keV. These two specific source-frame energy bands were chosen so that after transforming to the observer frame (based on the redshift of each GRB, i.e., [100150]/(1+z)[100-150]/(1+z) and [200250]/(1+z)[200-250]/(1+z) keV) they still lie in the detectable energy range of Swift/BAT. Finally, for each light-curve pairs, Ref. 2015MNRAS.446.1129B used the improved cross-correlation function analysis technology to estimate the spectral lag. Note that the energy difference between the mid-points of the two source-frame energy bands is fixed at 100 keV, whereas in the observer frame (as expected), the energy difference varies depending on the redshift of each GRB. For example, the energy difference is 16 keV in GRB 060927 and 74 keV in GRB 061021. This is in contrast to the spectral lag extractions performed in the observer frame, where the energy difference is treated as a constant 2012MNRAS.419..614U . Ref. 2017ApJ…851..127W first took advantage of the source-frame spectral lags of 56 GRBs presented in Ref. 2015MNRAS.446.1129B to study the LIV effects. For the subluminal case, the linear LIV-induced time delay between two observer-frame energy bands with the energy difference ΔE\Delta E is given by

ΔtLIV=ΔEH0EQG0z(1+z)dzh(z)=ΔE/(1+z)H0EQG0z(1+z)dzh(z),\Delta t_{\rm LIV}=\frac{\Delta E}{H_{0}E_{\rm QG}}\int_{0}^{z}\frac{(1+z^{\prime}){\rm d}z^{\prime}}{h(z^{\prime})}\\ =\frac{\Delta E^{\prime}/(1+z)}{H_{0}E_{\rm QG}}\int_{0}^{z}\frac{(1+z^{\prime}){\rm d}z^{\prime}}{h(z^{\prime})}\;, (6)

where ΔE=100keV\Delta E^{\prime}=100~{}\mathrm{keV} is the source-frame energy difference. Similar to the treatment of Ref. 2006APh….25..402E , one can formulate the intrinsic time delay problem in terms of linear regression:

Δtsrc1+z=aLVK+bsf,\frac{\Delta t_{\rm src}}{1+z}=a^{\prime}_{\rm LV}K^{\prime}+b_{\rm sf}\;, (7)

where Δtsrc\Delta t_{\rm src} is the extracted spectral lag for two fixed source-frame energy bands 100–150 and 200–250 keV,

K=1(1+z)20z(1+z)dzh(z)K^{\prime}=\frac{1}{(1+z)^{2}}\int_{0}^{z}\frac{(1+z^{\prime})dz^{\prime}}{h(z^{\prime})} (8)

is a function of the redshift, and aLV=ΔE/(H0EQG)a^{\prime}_{\rm LV}=\Delta E^{\prime}/(H_{0}E_{\rm QG}) is the slope in KK^{\prime}. In order to probe the LIV effects, Ref. 2017ApJ…851..127W performed a linear fit to the Δtsrc/(1+z)\Delta t_{\rm src}/(1+z) versus K(z)K^{\prime}(z) data. With the optimized aLVa^{\prime}_{\rm LV} and the source-frame energy difference ΔE\Delta E^{\prime}, the 95% confidence-level lower limit on the linear LIV energy scale is EQG2.0×1014E_{\rm QG}\geq 2.0\times 10^{14} GeV 2017ApJ…851..127W . This is a step forward in the investigation of LIV effects, since all previous studies used arbitrary observer-frame energy bands.

Another point to note is that in the treatment of Ref. 2006APh….25..402E an unknown constant was assumed to be the intrinsic time lag in the linear fitting function (see Eq. 4). That is, their work based on the assumption that all GRBs have the same intrinsic time delay. However, since the durations of GRBs span about five or six orders of magnitude, it is unlikely that high-energy photons emitted from different GRBs (or from the same GRB) have the same intrinsic time lag relative to the emission time of low-energy photons 2016ChPhC..40d5102C . As an improvement, Ref. 2012APh….36…47C estimated the intrinsic time delay between high- and low-energy photons emitted from each GRB by using the magnetic jet model. However, the magnetic jet model relies on some given theoretical parameters, and this introduces uncertainties on the LIV results.

Refer to caption

Figure 1: Multi-band light curves of the second sub-burst of GRB 160625B. The top thick line represents the full-range (10–20000 keV) light curve. Figure taken from 2017ApJ…834L..13W .

In 2017, Ref. 2017ApJ…834L..13W used multiple spectral lags from GRB 160625B to constrain LIV in the photon sector. GRB 160625B was detected by the Fermi satellite on 2016 June 25, consisting of three different isolated sub-bursts with unusually high photon statistics. Since the second sub-burst of GRB 160625B is especially bright, it is easy to extract its high-quality light curves in different energy bands (see Figure 1). With multi-photon energy bands, Ref. 2017ApJ…834L..13W calculated the spectral lags in the light curves recorded in the lowest-energy band (10–12 keV) relative to any other light curves with higher-energy bands, finding that the observed spectral lag Δtobs\Delta t_{\rm obs} increases at E8E\leq 8 MeV and then gradually decreases in the energy range 8MeVE208\,{\rm MeV}\leq E\leq 20 MeV. The lag behavior is very peculiar, being an obvious transition from positive to negative spectral lags discovered within a burst (see Figure 2). Conventionally, a positive spectral lag means an earlier arrival time for photons with higher energies, whereas a negative spectral lag corresponds to a delayed arrival of the higher-energy photons. Ref. 2017ApJ…834L..13W proposed that the spectral-lag transition of GRB 160625B provides a great opportunity to distinguish LIV-induced propagation effects from any source-intrinsic time delay in the emission of photons at different energy bands. Since the time delay ΔtLIV\Delta t_{\rm LIV} caused by LIV may probably be accompanied by an intrinsic energy-dependent time delay Δtint\Delta t_{\rm int} arise from the unknown emission mechanism of the source, the observed spectral lag should be comprised of two contributions,

Δtobs=Δtint+ΔtLIV.\Delta t_{\rm obs}=\Delta t_{\rm int}+\Delta t_{\rm LIV}\;. (9)

As the observed spectral lags of most GRBs have a positive energy dependence (i.e., high-energy photons arrive earlier than low-energy ones; see 2017ApJ…844..126S ; 2018ApJ…865..153L ), Ref. 2017ApJ…834L..13W suggested that the observer-frame correlation between the intrinsic time lag and the energy EE can be expressed approximately by a power-law with positive dependence,

Δtint(E)=τ[(EkeV)α(E0keV)α]s,\Delta t_{\rm int}(E)=\tau\left[\left(\frac{E}{\rm keV}\right)^{\alpha}-\left(\frac{E_{0}}{\rm keV}\right)^{\alpha}\right]\;{\rm s}\;, (10)

where τ>0\tau>0 and α>0\alpha>0, and E0=11.34E_{0}=11.34 keV is the median value of the reference lowest-energy band (10–12 keV). Also, when the subluminal case (-) is considered, the LIV effects predict a negative spectral lag (i.e., high-energy photons travel slower than low-energy ones). As the Lorentz-violating term takes the lead at higher energies, the positive correlation of the lag with energy would gradually become an anti-correlation. The contributions from both the intrinsic energy-dependent time lag and the LIV-induced time delay can therefore result in the observed lag behavior with an apparent transition from positive to negative lags 2017ApJ…834L..13W . By directly fitting the spectral lag behavior of GRB 160625B, Ref. 2017ApJ…834L..13W obtained both comparatively robust limits on the QG energy scales and a reasonable formulation of the intrinsic energy-dependent time lag. The best-fit theoretical curves for the linear and quadratic LIV models are shown in Figure 2. The 1σ1\sigma confidence-level lower limits on the linear and quadratic LIV energy scales are EQG,1>0.5×1016GeVE_{{\rm QG},1}>0.5\times 10^{16}~{}\mathrm{GeV} and EQG,2>1.4×107GeVE_{{\rm QG},2}>1.4\times 10^{7}~{}\mathrm{GeV}, respectively. The multi-photon spectral-lag data of GRB 160625B has also been used to constrain the Lorentz-violating coefficients of the Standard Model Extension 2017ApJ…842..115W . Recently, Ref. 2021ApJ…906….8D showed decisive evidence that GRB 190114C is an additional burst having a well-defined transition from positive to negative lags, providing another opportunity not only to disentangle the intrinsic time lag problem but also to place robust constraints on LIV. Although the spectral-lag transitions of GRB 160625B and GRB 190114C do not currently have the best sensitivity to LIV constraints, the presented method, when applied to future bright short GRBs with similar lag features, may derive more stringent constraints on LIV.

Refer to caption

Figure 2: Energy dependence of the observed spectral lag Δtobs\Delta t_{\rm obs} of GRB 160625B relative to the softest energy band. The best-fit theoretical curves correspond to the linear (n=1n=1) and quadratic (n=2n=2) LIV models, respectively. Figure taken from 2017ApJ…834L..13W .

Active galactic nuclei

Because of their rapid flux variability (ranging from minutes to years), very-high-energy (VHE, E100GeVE\geq 100~{}\mathrm{GeV}) emissions, and large distances, flaring AGNs have also been considered as promising sources for LIV studies. It should be underlined that searching for LIV-induced vacuum dispersions using both GRBs and VHE flares of AGNs is of great fundamental interest. GRBs can be detected up to very high redshifts (z8z\sim 8), but with very limited statistics of photons above a few tens of GeV. Conversely, AGN flares can be observed by ground-based detectors with large statistics of photons up to a few tens of TeV. Due to the absorption of VHE gamma-rays by extragalactic background light, TeV measurements are limited to sources with relatively low redshifts. Thus, GRBs and AGNs are complementary to each other in testing LIV, and they enable us to test different energy and redshift ranges.

There have been some competitive constraints on LIV-induced vacuum dispersions using VHE gamma-ray observations of bright AGN flares, including the Whipple analysis of the flare of Mrk 421 1999PhRvL..83.2108B , the H.E.S.S. analyses of the flares of PKS 2155-304 2008PhRvL.101q0402A ; 2011APh….34..738H and PG 1553+113 2015ApJ…802…65A , and the MAGIC and H.E.S.S. analyses of the flares of Mrk 501 2008PhLB..668..253M ; 2009APh….31..226M ; 2019ApJ…870…93A . For the linear LIV effect considering a subluminal case, the limit obtained from the PKS 2155-304 flare data by H.E.S.S. is the best time-of-flight limit obtained with an AGN, yielded EQG,1>2.1×1018GeVE_{{\rm QG},1}>2.1\times 10^{18}~{}\mathrm{GeV} 2011APh….34..738H . For the quadratic LIV effect, the limits obtained from H.E.S.S.’s observation of the Mrk 501 flare are the most stringent constraints ever obtained with an AGN, namely EQG,2>8.5×1010GeVE_{{\rm QG},2}>8.5\times 10^{10}~{}\mathrm{GeV} (EQG,2>7.3×1010GeVE_{{\rm QG},2}>7.3\times 10^{10}~{}\mathrm{GeV}) for the subluminal (superluminal) case 2019ApJ…870…93A .

Pulsars

Gamma-ray pulsars are a third class of astrophysical sources that are often used for LIV time-of-flight tests. There are several reasons why they are a tempting target for these types of studies. First, due to the stable and cyclical nature of pulsar emission, sensitivity to LIV can be systematically planned and improved by observing longer. Second, as the timing of the pulsar is widely studied throughout the electromagnetic spectrum, energy-dependent time delays caused by propagation effects can be more easily distinguished from source-intrinsic effects. Moreover, although being observed several orders of magnitude closer than GRBs or AGNs, the detection of VHE emission from pulsars will compensate for a short distance when it comes to testing the quadratic LIV term.

First limits on LIV using gamma-ray emission from the galactic Crab pulsar were obtained from the observation of CGRO/EGRET at energies above 2 GeV Kaaret1999 , and then improved by VERITAS using VHE gamma-rays reaching up to 120 GeV 2011ICRC….7..256O ; 2013ICRC…33.2768Z . Remarkably, Ref. 2017ApJS..232….9M used the Crab pulsar emission observed up to TeV energies by MAGIC to put new constraints on the energy scale EQGE_{\rm QG}. The 95% confidence-level lower limits for the subluminal (superluminal) case are EQG,1>5.5×1017GeVE_{{\rm QG},1}>5.5\times 10^{17}~{}\mathrm{GeV} (EQG,1>4.5×1017GeVE_{{\rm QG},1}>4.5\times 10^{17}~{}\mathrm{GeV}) and EQG,2>5.9×1010GeVE_{{\rm QG},2}>5.9\times 10^{10}~{}\mathrm{GeV} (EQG,2>5.3×1010GeVE_{{\rm QG},2}>5.3\times 10^{10}~{}\mathrm{GeV}) for linear and quadratic LIV effects, respectively 2017ApJS..232….9M .

Table 1: A census of lower bounds on the energy scale EQGE_{\rm QG} for linear (n=1n=1) and quadratic (n=2n=2) LIV for the subluminal (-) and superluminal (++) cases. These limits were produced using the time-of-flight measurements of various astrophysical sources.
Source(s) Instrument Technique EQG,1E_{{\rm QG},1} [GeV] EQG,2E_{{\rm QG},2} [GeV] Refs.
GRB
9 GRBsa BATSE+OSSE Wavelets (-) 6.9×10156.9\times 10^{15} (-) 2.9×1062.9\times 10^{6} Ellis2003
GRB 021206b RHESSI Peak times at different energies (-) 1.8×10171.8\times 10^{17} 2004ApJ…611L..77B
15 GRBs HETE-2 Wavelets (-) 2.0×10152.0\times 10^{15} 2008ApJ…676..532B
11 GRBs INTEGRAL Likelihood (-) 3.2×10113.2\times 10^{11} 2008GReGr..40.1731L
GRB 051221A Konus-Wind+Swift Peak times at different energies (-) 6.6×10166.6\times 10^{16} (-) 6.2×1066.2\times 10^{6} 2006JCAP…05..017R
35 GRBsc BATSE+HETE-2 Observer-frame spectral lags (-) 1.4×10161.4\times 10^{16} 2006APh….25..402E ; 2008APh….29..158E
+Swift
56 GRBs Swift Source-frame spectral lags (-) 2.0×10142.0\times 10^{14} 2017ApJ…851..127W
GRB 080916C Fermi GBM+LAT Associating a 13.2 GeV photon with (-) 1.3×10181.3\times 10^{18} 2009Sci…323.1688A
the trigger time
GRB 090510 Fermi GBM+LAT Associating a 31 GeV photon with (-) 1.5×10191.5\times 10^{19} 2009Natur.462..331A
the start of the first GBM pulse
GRB 090510 Fermi/LAT PairView+Likelihood (-) 9.3×10199.3\times 10^{19} (-) 1.3×10111.3\times 10^{11} 2013PhRvD..87l2001V
+Sharpness-Maximization Method (++) 1.3×10201.3\times 10^{20} (++) 9.4×10109.4\times 10^{10}
GRB 190114C MAGIC Likelihood (-) 5.8×10185.8\times 10^{18} (-) 6.3×10106.3\times 10^{10} PhysRevLett.125.021301
(++) 5.5×10185.5\times 10^{18} (++) 5.6×10105.6\times 10^{10}
GRB 160625B Fermi/GBM Spectral-lag transition (-) 0.5×10160.5\times 10^{16} (-) 1.4×1071.4\times 10^{7} 2017ApJ…834L..13W
GRB 190114C Fermi/GBM Spectral-lag transition (-) 2.2×10142.2\times 10^{14} (-) 0.9×1060.9\times 10^{6} 2021ApJ…906….8D
AGN
Mrk 421 Whipple Binning (-) 4.0×10164.0\times 10^{16} 1999PhRvL..83.2108B
PKS 2155-304 H.E.S.S. Modified cross correlation function (-) 7.2×10177.2\times 10^{17} (-) 1.4×1091.4\times 10^{9} 2008PhRvL.101q0402A
PKS 2155-304 H.E.S.S. Likelihood (-) 2.1×10182.1\times 10^{18} (-) 6.4×10106.4\times 10^{10} 2011APh….34..738H
PG 1553+113 H.E.S.S. Likelihood (-) 4.1×10174.1\times 10^{17} (-) 2.1×10102.1\times 10^{10} 2015ApJ…802…65A
(++) 2.8×10172.8\times 10^{17} (++) 1.7×10101.7\times 10^{10}
Mrk 501 MAGIC Energy cost function (-) 2.1×10172.1\times 10^{17} (-) 2.6×10102.6\times 10^{10} 2008PhLB..668..253M
Mrk 501 MAGIC Likelihood (-) 3.0×10173.0\times 10^{17} (-) 5.7×10105.7\times 10^{10} 2009APh….31..226M
Mrk 501 H.E.S.S. Likelihood (-) 3.6×10173.6\times 10^{17} (-) 8.5×10108.5\times 10^{10} 2019ApJ…870…93A
(++) 2.6×10172.6\times 10^{17} (++) 7.3×10107.3\times 10^{10}
Pulsar
Crab CGRO/EGRET Pulse arrival times (-) 1.8×10151.8\times 10^{15} Kaaret1999
in different energy bands
Crab VERITAS Likelihood (-) 3.0×10173.0\times 10^{17} (-) 7.0×1097.0\times 10^{9} 2011ICRC….7..256O
Crab VERITAS Dispersion Cancellation (-) 1.9×10171.9\times 10^{17} 2013ICRC…33.2768Z
(++) 1.7×10171.7\times 10^{17}
Crab MAGIC Likelihood (-) 5.5×10175.5\times 10^{17} (-) 5.9×10105.9\times 10^{10} 2017ApJS..232….9M
(++) 4.5×10174.5\times 10^{17} (++) 5.3×10105.3\times 10^{10}

aLimit obtained taking no account of the factor (1+z)(1+z) in the integral of Eq. (5).
bThe spectral and temporal properties of GRB 021206 were used to estimate the pseudo redshift.
cThe Limits of Ref. 2006APh….25..402E were corrected in Ref. 2008APh….29..158E by taking account of the factor (1+z)(1+z) in the integral of Eq. (5).

The most important results obtained to date with vacuum dispersion time-of-flight measurements of various astrophysical events are listed in Table 1. The most stringent limits so far on EQGE_{\rm QG} have been obtained with Fermi/LAT’s observation of GRB 090510. The limits set are EQG,1>9.3×1019GeVE_{{\rm QG},1}>9.3\times 10^{19}~{}\mathrm{GeV} (EQG,1>1.3×1020GeVE_{{\rm QG},1}>1.3\times 10^{20}~{}\mathrm{GeV}) for a linear, and EQG,2>1.3×1011GeVE_{{\rm QG},2}>1.3\times 10^{11}~{}\mathrm{GeV} (EQG,2>9.4×1010GeVE_{{\rm QG},2}>9.4\times 10^{10}~{}\mathrm{GeV}) for a quadratic LIV, for the subluminal (superluminal) case 2013PhRvD..87l2001V . Obviously, these time-of-flight studies using gamma-ray emissions in the GeV–TeV range provide us at present with the best opportunity to search for Planck-scale modifications of the photon dispersion relation. Nevertheless, while they offer meaningful constraints for the linear (n=1n=1) modification, they are still much weaker for deviations that appear at the quadratic (n=2n=2) order.

3 Vacuum birefringence

3.1 General formulae

The Charge-Parity-Time (CPT) theorem states that the physical laws are invariant under charge conjugation, parity transformation, and time reversal. In some QG theories that invoke LIV, the CPT theorem no longer holds. In the absence of Lorentz symmetry, the CPT invariance, if needed, should be imposed as an additional assumption of the theory. In the photon sector, these theories invoke a Lorentz- and CPT-violating dispersion relation of the form 2003PhRvL..90u1601M

E±2=p2c2±2ηEplp3c3,E_{\pm}^{2}=p^{2}c^{2}\pm\frac{2\eta}{E_{\rm pl}}p^{3}c^{3}\;, (11)

where the sign ±\pm corresponds to the helicity, i.e., two different circular polarization states, and η\eta is a dimensionless parameter that needs to be bound. Note that the parameter η\eta exactly vanishes in LIV but CPT invariant theories. Therefore, in this sense, such tests might be less broad and general than those tests based on vacuum dispersion.

The linear polarization can be decomposed into right- or left-handed circular polarization states. If η0\eta\neq 0, then the dispersion relation (11) indicates that photons with opposite circular polarizations have slightly different phase velocities and therefore propagate with different speeds, leading to an energy-dependent rotation of the polarization vector of a linearly polarized light. This effect is known as vacuum birefringence. The rotation angle during the propagation from the source at redshift zz to the observer is expressed as 2011PhRvD..83l1301L ; 2012PhRvL.109x1104T

ΔϕLIV(E)ηE2F(z)EplH0,\Delta\phi_{\rm LIV}(E)\simeq\eta\frac{E^{2}F(z)}{\hbar E_{\rm pl}H_{0}}\;, (12)

where EE is the observed photon energy, and F(z)F(z) is a function related to the cosmological model, which reads (in the standard flat Λ\LambdaCDM model)

F(z)=0z(1+z)dzΩm(1+z)3+ΩΛ.F(z)=\int_{0}^{z}\frac{\left(1+z^{\prime}\right)dz^{\prime}}{\sqrt{\Omega_{\rm m}\left(1+z^{\prime}\right)^{3}+\Omega_{\Lambda}}}\;. (13)

Generally, it is hard to know the intrinsic polarization angles for photons emitted with different energies from a given astrophysical source. If one possessed this information, evidence for vacuum birefringence (i.e., an energy-dependent rotation of the polarization plane of linearly polarized photons) could be directly obtained by measuring differences between the known intrinsic polarization angles and the actual observed polarization angles at different energies. Even in the absence of such knowledge, however, the birefringent effect can still be tested by polarized sources at arbitrary redshifts. This is because a large degree of birefringence would add opposite oriented polarization vectors, effectively washing out most, if not all, of the net polarization of the signal. Therefore, the polarization detections with high significance levels can put upper bounds on the energy-dependent birefringent effect.

3.2 Present constraints from polarization measurements

Observations of linear polarization from distant astrophysical sources can be used to place upper bounds on the birefringent parameter η\eta. The vacuum birefringence constraints stem from the fact that if the rotation angles of photons with different energies (Eq. 12) differ by more than π/2\pi/2 over an energy range (E1<E<E2E_{1}<E<E_{2}), then the net polarization of the signal would be significantly depleted and could not be as high as the observed level. Thus, the detection of highly polarized photons implies that the differential rotation angle |Δϕ(E2)Δϕ(E1)||\Delta\phi(E_{2})-\Delta\phi(E_{1})| should be smaller than π/2\pi/2, i.e.,

|Δϕ(E2)Δϕ(E1)|=η(E22E12)F(z)EplH0π2.|\Delta\phi(E_{2})-\Delta\phi(E_{1})|=\eta\frac{\left(E_{2}^{2}-E_{1}^{2}\right)F(z)}{\hbar E_{\rm pl}H_{0}}\leq\frac{\pi}{2}\;. (14)

Previously, Ref. 2001PhRvD..64h3007G used the observed linear polarization of ultraviolet light from a galaxy 3C 256 at a distance of around 300 Mpc to set an upper bound of η<104\eta<10^{-4}. Ref. 2008PhRvD..78j3003M derived a tighter constraint of η<9×1010\eta<9\times 10^{-10} using the hard X-ray polarization observation from the Crab Nebula. Much stronger limits of η<1014\eta<10^{-14} were obtained by Refs. 2003Natur.426Q.139M ; 2004PhRvL..93b1101J using a report of polarized gamma-rays observed in the prompt emission from GRB 021206 2003Natur.423..415C . However, this claimed polarization detection has been refuted by subsequent re-analyses of the same data 2004MNRAS.350.1288R ; 2004ApJ…613.1088W . Using the reported detection of polarized soft gamma-ray emission from GRB 041219A 2007ApJS..169…75K ; 2007A&A…466..895M ; 2009ApJ…695L.208G , Refs. 2011PhRvD..83l1301L ; 2011APh….35…95S obtained a stringent upper limit on η\eta of 1.1×10141.1\times 10^{-14} and 2.4×10152.4\times 10^{-15}, respectively. But again, the previous reports of the gamma-ray polarimetry for GRB 041219A have been disputed (see 2012PhRvL.109x1104T for more explanations), and the arguments for the resulting constraints given by Refs. 2011PhRvD..83l1301L ; 2011APh….35…95S are still open to questions.

Contrary to those controversial reports, the detection of gamma-ray linear polarization by the Gamma-ray burst Polarimeter (GAP) onboard the Interplanetary Kite-craft Accelerated by Radiation Of the Sun (IKAROS) is fairly credible and thus can be used to set a reliable limit on the birefringent parameter 2012PhRvL.109x1104T . IKAROS/GAP clearly detected linear polarizations in the prompt gamma-ray emission of three GRBs, with a polarization degree of Π=27±11%\Pi=27\pm 11\% for GRB 100826A 2011ApJ…743L..30Y , Π=70±22%\Pi=70\pm 22\% for GRB 110301A 2012ApJ…758L…1Y , and Π=8428+16%\Pi=84^{+16}_{-28}\% for GRB 110721A 2012ApJ…758L…1Y . The detection significance is 2.9σ2.9\sigma, 3.7σ3.7\sigma, and 3.3σ3.3\sigma, respectively. With the assumption that |Δϕ(E2)Δϕ(E1)|π/2|\Delta\phi(E_{2})-\Delta\phi(E_{1})|\leq\pi/2, Ref. 2012PhRvL.109x1104T applied the polarization data of these three GRBs to derive a severe upper bound on η\eta in the order of 𝒪(1015)\mathcal{O}(10^{-15}). Note that since the redshifts of these GRBs were not measured, Ref. 2012PhRvL.109x1104T used a luminosity indicator for GRBs to estimate the possible redshifts. Utilizing the real redshift determination (z=1.33z=1.33) together with the polarimetric data of GRB 061122, Ref. 2013MNRAS.431.3550G derived a more stringent limit (η<3.4×1016\eta<3.4\times 10^{-16}) on the possibility of LIV based on the vacuum birefringent effect. The current deepest limit of η<1.0×1016\eta<1.0\times 10^{-16} was obtained by Ref. 2014MNRAS.444.2776G using the most distant polarized burst GRB 140206A at redshift z=2.739z=2.739.

All the polarization constraints presented above were based on the assumption that the observed polarization degree would be severely suppressed for a given energy range if the differential rotation angle |Δϕ(E2)Δϕ(E1)||\Delta\phi(E_{2})-\Delta\phi(E_{1})| is too large, regardless of the intrinsic polarization fraction at the corresponding rest-frame energy range. However, Ref. 2016MNRAS.463..375L gave a detailed calculation on the evolution of GRB polarization induced by the vacuum birefringent effect, and showed that, even if |Δϕ(E2)Δϕ(E1)||\Delta\phi(E_{2})-\Delta\phi(E_{1})| is as large as π/2\pi/2, more than 60% of the initial polarization degree can be conserved. This is in conflict with the general perception that |Δϕ(E2)Δϕ(E1)||\Delta\phi(E_{2})-\Delta\phi(E_{1})| could not be larger than π/2\pi/2 when high polarization is observed. Thus, Ref. 2016MNRAS.463..375L suggested that it is inappropriate to simply use π/2\pi/2 as the upper limit of |Δϕ(E2)Δϕ(E1)||\Delta\phi(E_{2})-\Delta\phi(E_{1})| to constrain the vacuum birefringent effect. Applying their formulae for calculating the polarization evolution to two true GRB events, Ref. 2016MNRAS.463..375L obtained the most conservative limits on the birefringent parameter from the polarimetric data of GRB 061122 and GRB 110721A as η<0.5×1016\eta<0.5\times 10^{-16} and η<4.0×1016\eta<4.0\times 10^{-16}, respectively. Following the analysis method proposed in Ref. 2016MNRAS.463..375L and using the latest detections of prompt emission polarization in GRBs, Ref. 2019MNRAS.485.2401W improved existing bounds on a deviation from Lorentz invariance through the vacuum birefringent effect by factors ranging from two to ten.

Instead of requiring the more complicated and indirect assumption that |Δϕ(E2)Δϕ(E1)|π/2|\Delta\phi(E_{2})-\Delta\phi(E_{1})|\leq\pi/2, some authors simply assume that all photons in the observed energy band are emitted with the same (unknown) intrinsic polarization angle 2007MNRAS.376.1857F ; 2020EPJP..135..527W ; 2021Galax…9…44Z . If the rotation angle of the linear polarization plane arising from the birefringent effect ΔϕLIV(E)\Delta\phi_{\rm LIV}(E) is considered here, the observed linear polarization angle at a certain EE with an intrinsic polarization angle ϕ0\phi_{0} should be

ϕobs=ϕ0+ΔϕLIV(E).\phi_{\rm obs}=\phi_{0}+\Delta\phi_{\rm LIV}\left(E\right)\;. (15)

Since ϕ0\phi_{0} is assumed to be an unknown constant, we expect to observe the birefringent effect as an energy-dependent linear polarization vector. Such an observation could give a robust limit on the birefringent parameter η\eta. Ref. 2007MNRAS.376.1857F searched for the energy-dependent change of the polarization angle in the spectropolarimetric observations of the optical afterglows of GRB 020813 and GRB 021004. By fitting the multiband polarimetric data of these two GRBs with Eq. (15), Ref. 2007MNRAS.376.1857F obtained constraints on both ϕ0\phi_{0} and η\eta (see Figure 3). At the 3σ3\sigma confidence level, the joint constraint on η\eta from two GRBs is 2×107<η<1.4×107-2\times 10^{-7}<\eta<1.4\times 10^{-7} (see also 2020EPJP..135..527W ). Ref. 2021Galax…9…44Z applied the same analysis method to multiband optical polarimetry of five blazars and obtained η\eta constraints with similar accuracy. It is clear from Eq. (12) that the larger the distance of the polarized source, and the higher the energy band of the polarization observation, the greater the sensitivity to small values of η\eta. As expected, less stringent constraints on η\eta were obtained from the optical polarization data 2007MNRAS.376.1857F ; 2020EPJP..135..527W ; 2021Galax…9…44Z .

Refer to caption
Figure 3: Fit to multiband polarization observations of the optical afterglows of GRB 020813 and GRB 021004. Left panels: linear fits of the spectropolarimetric data. Right panels: 1-3σ\sigma confidence levels in the ϕ0\phi_{0}-η\eta plane. Reproduced from 2020EPJP..135..527W .
Table 2: A census of limits on the vacuum birefringent parameter η\eta. These limits were obtained from the linear polarization measurements of various astrophysical sources.
Source Distance Polarimeter Energy Ranga Π\Pi η\eta Refs.
Galaxy 3C 256 d=300d=300 Mpc Spectropolarimeter Ultraviolet 16.4±2.2%16.4\pm 2.2\% <104<10^{-4} 2001PhRvD..64h3007G
Crab Nebula d=1.9d=1.9 kpc INTEGRAL/SPI 100–1000 keV 46±10%46\pm 10\% <9×1010<9\times 10^{-10} 2008PhRvD..78j3003M
GRB
GRB 021206 d=1010d=10^{10} light yearsc RHESSI 150–2000 keV 80±20%80\pm 20\%b <1014<10^{-14} 2003Natur.426Q.139M
GRB 021206 d=0.5d=0.5 Gpcd RHESSI 150–2000 keV 80±20%80\pm 20\%b <0.5×1014<0.5\times 10^{-14} 2004PhRvL..93b1101J
GRB 041219A z=0.02z=0.02e INTEGRAL/IBIS 200–800 keV 43±25%43\pm 25\%b <1.1×1014<1.1\times 10^{-14} 2011PhRvD..83l1301L
GRB 041219A z=0.2z=0.2f INTEGRAL/SPI 100–350 keV 96±40%96\pm 40\%b <2.4×1015<2.4\times 10^{-15} 2011APh….35…95S
GRB 100826A z=0.71z=0.71f IKAROS/GAP 70–300 keV 27±11%27\pm 11\% <2.0×1014<2.0\times 10^{-14} 2012PhRvL.109x1104T
GRB 110301A z=0.21z=0.21f IKAROS/GAP 70–300 keV 70±22%70\pm 22\% <1.0×1014<1.0\times 10^{-14} 2012PhRvL.109x1104T
GRB 110721A z=0.45z=0.45f IKAROS/GAP 70–300 keV 8428+16%84^{+16}_{-28}\% <2.0×1015<2.0\times 10^{-15} 2012PhRvL.109x1104T
GRB 061122 z=1.33z=1.33 INTEGRAL/IBIS 250–800 keV >60%>60\% <3.4×1016<3.4\times 10^{-16} 2013MNRAS.431.3550G
GRB 140206A z=2.739z=2.739 INTEGRAL/IBIS 200–400 keV >48%>48\% <1.0×1016<1.0\times 10^{-16} 2014MNRAS.444.2776G
GRB 061122 z=1.33z=1.33 INTEGRAL/IBIS 250–800 keV >60%>60\% <0.5×1016<0.5\times 10^{-16} 2016MNRAS.463..375L
GRB 110721A z=0.45z=0.45f IKAROS/GAP 70–300 keV 8428+16%84^{+16}_{-28}\% <4.0×1016<4.0\times 10^{-16} 2016MNRAS.463..375L
GRB 061122 z=1.33z=1.33 INTEGRAL/IBIS 250–800 keV >60%>60\% <0.5×1016<0.5\times 10^{-16} 2019MNRAS.485.2401W
GRB 100826A z=0.083z=0.083f IKAROS/GAP 70–300 keV 27±11%27\pm 11\% 1.20.7+1.4×10141.2^{+1.4}_{-0.7}\times 10^{-14} 2019MNRAS.485.2401W
GRB 110301A z=0.082z=0.082f IKAROS/GAP 70–300 keV 70±22%70\pm 22\% 4.32.3+5.4×10154.3^{+5.4}_{-2.3}\times 10^{-15} 2019MNRAS.485.2401W
GRB 110721A z=0.382z=0.382 IKAROS/GAP 70–300 keV 8428+16%84^{+16}_{-28}\% 5.15.1+4.0×10165.1^{+4.0}_{-5.1}\times 10^{-16} 2019MNRAS.485.2401W
GRB 140206A z=2.739z=2.739 INTEGRAL/IBIS 200–400 keV >48%>48\% <1.0×1016<1.0\times 10^{-16} 2019MNRAS.485.2401W
GRB 160106A z=0.091z=0.091f AstroSat/CZTI 100–300 keV 68.5±24%68.5\pm 24\% 3.41.8+1.4×10153.4^{+1.4}_{-1.8}\times 10^{-15} 2019MNRAS.485.2401W
GRB 160131A z=0.972z=0.972 AstroSat/CZTI 100–300 keV 94±31%94\pm 31\% 1.21.2+2.0×10161.2^{+2.0}_{-1.2}\times 10^{-16} 2019MNRAS.485.2401W
GRB 160325A z=0.161z=0.161f AstroSat/CZTI 100–300 keV 58.75±23.5%58.75\pm 23.5\% 2.30.9+1.0×10152.3^{+1.0}_{-0.9}\times 10^{-15} 2019MNRAS.485.2401W
GRB 160509A z=1.17z=1.17 AstroSat/CZTI 100–300 keV 96±40%96\pm 40\% 0.80.8+2.2×10160.8^{+2.2}_{-0.8}\times 10^{-16} 2019MNRAS.485.2401W
GRB 160802A z=0.105z=0.105f AstroSat/CZTI 100–300 keV 85±29%85\pm 29\% 2.02.0+1.7×10152.0^{+1.7}_{-2.0}\times 10^{-15} 2019MNRAS.485.2401W
GRB 160821A z=0.047z=0.047f AstroSat/CZTI 100–300 keV 48.7±14.6%48.7\pm 14.6\% 8.91.7+1.7×10158.9^{+1.7}_{-1.7}\times 10^{-15} 2019MNRAS.485.2401W
GRB 160910A z=0.272z=0.272f AstroSat/CZTI 100–300 keV 93.7±30.92%93.7\pm 30.92\% 4.74.7+7.6×10164.7^{+7.6}_{-4.7}\times 10^{-16} 2019MNRAS.485.2401W
GRB 020813 z=1.255z=1.255 LRISp 3500–8800 Å 1.8%–2.4% (2.0-2.0–1.4)×107\times 10^{-7} 2007MNRAS.376.1857F
GRB 021004 z=2.328z=2.328 VLT 3500–8600 Å 1.88±0.05%1.88\pm 0.05\% (2.0-2.0–1.4)×107\times 10^{-7} 2007MNRAS.376.1857F
GRB 020813 z=1.255z=1.255 LRISp 3500–8800 Å 1.8%–2.4% (1.8-1.8–1.1)×107\times 10^{-7} 2020EPJP..135..527W
GRB 021004 z=2.328z=2.328 VLT 3500–8600 Å 1.88±0.05%1.88\pm 0.05\% (1.8-1.8–1.1)×107\times 10^{-7} 2020EPJP..135..527W
Blazar
3C 66A z=0.444z=0.444 Photopolarimeter UBVRIUBVRI 14.1%–33.7% (3.4±1.2)×107(3.4\pm 1.2)\times 10^{-7} 2021Galax…9…44Z
S5 0716+714 z=0.310z=0.310 Photopolarimeter UBVRIUBVRI 15.1%–20.1% (1.0±4.6)×107(-1.0\pm 4.6)\times 10^{-7} 2021Galax…9…44Z
OJ 287 z=0.306z=0.306 Photopolarimeter UBVRIUBVRI 5.2%–22.8% (6.2±7.2)×107(6.2\pm 7.2)\times 10^{-7} 2021Galax…9…44Z
MK 421 z=0.031z=0.031 Photopolarimeter UBVRIUBVRI 1.7%–3.5% (6.5±22.8)×106(6.5\pm 22.8)\times 10^{-6} 2021Galax…9…44Z
PKS 2155-304 z=0.116z=0.116 Photopolarimeter UBVRIUBVRI 3%–7% (5.3±3.6)×107(-5.3\pm 3.6)\times 10^{-7} 2021Galax…9…44Z

aThe energy range in which polarization is observed.
bThe claimed polarization detections have been refuted.
cThe distance of GRB 021206 was assumed to be 101010^{10} light years.
dThe distance of GRB 021206 was assumed to be 0.5 Gpc.
eThe lower limit to the photometric redshift of GRB 041219A was adopted.
fThe redshifts of these GRBs were estimated by the empirical luminosity relation.

Table 2 presents a summary of astrophysical polarization constraints on a possible LIV through the vacuum birefringent effect. The current best limits on the birefringent parameter, η<𝒪(1016)\eta<\mathcal{O}(10^{-16}), have been obtained by the detections of gamma-ray linear polarization of GRBs 2013MNRAS.431.3550G ; 2014MNRAS.444.2776G ; 2016MNRAS.463..375L ; 2019MNRAS.485.2401W .

4 Photon decay and photon splitting

There are various forms of modified dispersion relation for different particles and underlying QG theories. One of the Lorentz-violating dispersion relations for photons takes the generalized form 1998Natur.393..763A

E2p2=±|αn|pn+2,E^{2}-p^{2}=\pm|\alpha_{n}|p^{n+2}\;, (16)

where nn is the leading order of the modification from the underlying QG theory, αn\alpha_{n} is the nnth order LIV parameter, and the sign ±\pm refers to the superluminal (++) and subluminal (-) cases. For n>0n>0, limits on αn\alpha_{n} can be interpreted in terms of the QG energy scale,

EQG,n=αn1/n.E_{{\rm QG},n}=\alpha_{n}^{-1/n}\;. (17)

4.1 Photon decay

In the superluminal LIV case, photons can decay into electron-positron pairs, γe+e\gamma\rightarrow e^{+}e^{-}. The resulting decay rates Γγe+e\Gamma_{\gamma\rightarrow e^{+}e^{-}} are rapid and effective at energies where the process is allowed. Once above the energy threshold, this photon decay process would lead to a hard cutoff in the gamma-ray spectrum without any high-energy photons being observed 2017PhRvD..95f3001M . The threshold for any order nn is given by

αn4me2En(E24me2),\alpha_{n}\leq\frac{4m_{e}^{2}}{E^{n}\left(E^{2}-4m_{e}^{2}\right)}\;, (18)

where mem_{e} represents the electron mass 2017PhRvD..95f3001M . One can see from Eqs. (17) and (18) that the upper limits on αn\alpha_{n} (lower limits on EQG,nE_{{\rm QG},n}) become tighter with the increase in the observed photon energy by a factor of E(n+2)E^{-(n+2)} (E1+2/nE^{1+2/n} for lower limits on EQG,nE_{{\rm QG},n}).

Following Eqs. (17) and (18), one then has EQG,nE_{{\rm QG},n} for n=1n=1 and 22,

EQG,19.57×1023eV(ETeV)3,E_{{\rm QG},1}\geq 9.57\times 10^{23}\;{\rm eV}\left(\frac{E}{\rm TeV}\right)^{3}\;, (19)
EQG,29.78×1017eV(ETeV)2.E_{{\rm QG},2}\geq 9.78\times 10^{17}\;{\rm eV}\left(\frac{E}{\rm TeV}\right)^{2}\;. (20)

Therefore, a lower limit for EQG,nE_{{\rm QG},n} in the photon sector can be obtained directly from any observed high-energy photon event.

4.2 Photon splitting

A second superluminal LIV decay process is photon splitting to multiple photons, γNγ\gamma\rightarrow N\gamma. The dominant splitting process with quadratic modification (n=2n=2) is the photon decay into three photons (γ3γ\gamma\rightarrow 3\gamma) 2019JCAP…04..054A . The decay rate of photon splitting (in units of energy) is 2019JCAP…04..054A ; 2019EPJC…79.1011S

Γγ3γ=5×1014E19me8EQG,210,\Gamma_{\gamma\rightarrow 3\gamma}=5\times 10^{-14}\frac{E^{19}}{m_{e}^{8}E_{{\rm QG},2}^{10}}\;, (21)

which is much smaller than the photon decay rate Γγe+e\Gamma_{\gamma\rightarrow e^{+}e^{-}}. Despite the lack of an energy threshold, this process is kinematically allowed whenever E2>p2E^{2}>p^{2} (i.e., superluminal LIV). It becomes significant when photons travel through astrophysical distances and also predicts a hard cutoff at high photon energies in astrophysical spectra.

If we find the evidence of a cutoff in the spectrum of an energetic astrophysical source at distance dd, we can equate the mean free path of a photon to the source distance. That is, we take d×Γγ3γ=1d\times\Gamma_{\gamma\rightarrow 3\gamma}=1, with Γγ3γ\Gamma_{\gamma\rightarrow 3\gamma} translated to units of kpc1\rm kpc^{-1}. The corresponding LIV limit is therefore given by

EQG,23.33×1019eV(dkpc)0.1(ETeV)1.9,E_{{\rm QG},2}\geq 3.33\times 10^{19}\;{\rm eV}\left(\frac{d}{\rm kpc}\right)^{0.1}\left(\frac{E}{\rm TeV}\right)^{1.9}\;, (22)

which is a function of the highest photon energy. Once again, this photon splitting in flight from the source provides a direct way to constrain the quadratic LIV energy scale that mainly relies on the highest energy photons observed.

4.3 Present constraints from spectral cutoff

If there is no sign of clear cutoff at the highest energy end of the photon spectra of astrophysical sources, then stringent lower limits on the LIV energy scale can be derived. There have been some resulting constraints on LIV-induced spectral cutoff using sub-PeV measurements of gamma-ray spectra from astrophysical sources, including the HEGRA observations of the Crab Nebula spectrum 2017PhRvD..95f3001M ; 2019JCAP…04..054A , the Tibet observations of the Crab Nebula spectrum 2019EPJC…79.1011S , the HAWC observations of the spectra of the Crab and three other sources 2020PhRvL.124m1101A , and the LHAASO observations of the spectra of the Crab and four other sources 2021arXiv210507927C ; 2021arXiv210612350T .

For instance, the LHAASO Collaboration studied the superluminal LIV effect using the observations of unprecedentedly high-energy gamma rays, with a rigorous statistical technique and a careful assessment of the systematic uncertainties 2021arXiv210612350T . Recently, 12 ultra-high-energy gamma-ray Galactic sources above 100 TeV have been detected by LHAASO 2021Natur.594…33C . The highest energy photon-like event from the source LHAASO J2032+4102 is about 1.4 PeV. The second highest energy photon-like event from LHAASO J0534+2202 (Crab Nebula) is about 0.88 PeV. Since higher energy photons may provide better limits on the LIV energy scale, the LHAASO Collaboration adopted the two sources J2032+4102 and J0534+2202 for their purpose 2021arXiv210612350T . Two general spectral forms are assumed for both sources, i.e., a log-parabolic form and a power-law form. Both the photon decay (γe+e\gamma\rightarrow e^{+}e^{-}) and photon splitting (γ3γ\gamma\rightarrow 3\gamma) processes predict that the energy spectrum of a source has a quasi-sharp cutoff at the highest energy part. If LIV does exist, the expected spectrum of the source can then be expressed as 2021arXiv210612350T

f(E)=A0(EE0)αβln(E/E0)H(EEcut),f(E)=A_{0}\left(\frac{E}{E_{0}}\right)^{-\alpha-\beta\ln\left(E/E_{0}\right)}H(E-E_{\rm cut})\;, (23)

where A0A_{0} is the flux normalization, α\alpha and β\beta are the spectral indices, E0=20E_{0}=20 TeV is a reference energy, H(EEcut)H(E-E_{\rm cut}) stands for the Heaviside step function, and EcutE_{\rm cut} is the cutoff energy. The above expression is for the log-parabolic spectrum. When β0\beta\equiv 0, the log-parabolic spectrum reduces to the power-law spectrum. The spectral parameters can be optimized by maximizing the likelihood function, i.e.,

(A0,α,β,Ecut)=inPoisson(Nobs,i,Nexp,i(A0,α,β,Ecut)+Nbkg,i),\mathcal{L}(A_{0},\alpha,\beta,E_{\rm cut})=\prod_{i}^{n}{\rm Poisson}\left(N_{{\rm obs},i},\;N_{{\rm exp},i}(A_{0},\alpha,\beta,E_{\rm cut})+N_{{\rm bkg},i}\right)\;, (24)

where ii represents the ii-th energy bin, Nobs,iN_{{\rm obs},i} is the number of observed events from the source, Nexp,iN_{{\rm exp},i} is the expected signal from the chosen energy spectrum, and Nbkg,iN_{{\rm bkg},i} is the estimated background. For each EcutE_{\rm cut}, Ref. 2021arXiv210612350T obtained the best-fit spectral parameters (A0A_{0}, α\alpha, and β\beta) and the corresponding likelihood value. The statistical significance of the existence of such a cutoff was calculated using a test statistic (TS) variable, which is the log-likelihood ratio of the fit with a cutoff and the fit with no cutoff,

TS(Ecut)=bin2ln(1(A0^^,α^^,β^^,Ecut)0(A0^,α^,β^,Ecut)),{\rm TS}(E_{\rm cut})=-\sum_{\rm bin}2\ln\left(\frac{\mathcal{L}_{1}(\hat{\hat{A_{0}}},\hat{\hat{\alpha}},\hat{\hat{\beta}},E_{\rm cut})}{\mathcal{L}_{0}(\hat{A_{0}},\hat{\alpha},\hat{\beta},E_{\rm cut}\rightarrow\infty)}\right)\;, (25)

where the null hypothesis (without the LIV effect) is the case with EcutE_{\rm cut}\rightarrow\infty and the alternative hypothesis (with the LIV effect) corresponds to a finite EcutE_{\rm cut}. Because the spectral fits do not indicate a significant preference for Ecut<E_{\rm cut}<\infty, a lower limit on EcutE_{\rm cut} was proceed to set, below which there is weak or no evidence for the photon decay. This lower limit on EcutE_{\rm cut} also serves as an upper limit on the observed photon energy EE. Then Eqs. (19), (20), and (22) directly lead to lower limits on EQG,1E_{{\rm QG},1} and EQG,2E_{{\rm QG},2}.

Table 3: Summary of 95% confidence-level lower limits on the cutoff energy EcutE_{\rm cut} and the linear and quadratic energy scales of the superluminal LIV as obtained by photon decay (e+ee^{+}e^{-}) and photon splitting (3γ3\gamma).
Experiment Source Distance EcutE_{\rm cut} EQG,1E_{{\rm QG},1} (e+e){(e^{+}e^{-})} EQG,2E_{{\rm QG},2} (e+e){(e^{+}e^{-})} EQG,2E_{{\rm QG},2} (3γ){(3\gamma)} Refs.
[kpc] [TeV] [GeV] [GeV] [GeV]
HEGRA Crab Nebula 2 56 1.5×10201.5\times 10^{20} 2.8×10122.8\times 10^{12} 2017PhRvD..95f3001M
Crab Nebula 2 75 1.3×10141.3\times 10^{14} 2019JCAP…04..054A
Tibet Crab Nebula 2 140 4.1×10144.1\times 10^{14} 2019EPJC…79.1011S
HAWC J1825–134 1.55 244 1.4×10221.4\times 10^{22} 5.8×10135.8\times 10^{13} 1.2×10151.2\times 10^{15} 2020PhRvL.124m1101A
J1907+063 2.37 218 1.0×10221.0\times 10^{22} 4.7×10134.7\times 10^{13} 1.0×10151.0\times 10^{15}
Crab Nebula 2 152 3.4×10213.4\times 10^{21} 2.3×10132.3\times 10^{13} 5.0×10145.0\times 10^{14}
J2019+368 1.8 120 1.7×10211.7\times 10^{21} 1.4×10131.4\times 10^{13} 3.2×10143.2\times 10^{14}
LHAASO J2226+6057 0.8a0.8^{a} 280.7 2.1×10222.1\times 10^{22} 7.7×10137.7\times 10^{13} 1.5×10151.5\times 10^{15} 2021arXiv210507927C
J1908+0621 2.37 370.5 4.9×10224.9\times 10^{22} 1.3×10141.3\times 10^{14} 2.8×10152.8\times 10^{15} 2021arXiv210507927C
J1825–1326 1.55 169.9 4.7×10214.7\times 10^{21} 2.8×10132.8\times 10^{13} 0.6×10150.6\times 10^{15} 2021arXiv210507927C
Crab Nebula 2 750 4.0×10234.0\times 10^{23} 5.5×10145.5\times 10^{14} 1.0×10161.0\times 10^{16} 2021arXiv210612350T
J2032+4102 1.4 1140 1.4×10241.4\times 10^{24} 1.3×10151.3\times 10^{15} 2.2×10162.2\times 10^{16} 2021arXiv210612350T

aThe distance of possible celestial objects associated with J2226+6057 was given.

Table 3 lists a summary of 95% confidence-level lower limits on EcutE_{\rm cut} and the inferred LIV energy scales obtained through photon decay and photon splitting. As illustrated in Table 3, the highest-energy source LHAASO J2032+4102 provides the strongest constraints on the energy scales of the superluminal LIV among experimental results with the same method. The linear LIV energy scale is constrained to be higher than about 10510^{5} times the Planck energy scale EPlE_{\rm Pl}, and the quadratic LIV energy scales is over 103EPl10^{-3}E_{\rm Pl}.

4.4 Comparison with different methods

The comparison with the resulting constraints on the superluminal LIV energy scales obtained from different experiments is shown in Figure 4. We show strong limits on photon decay and photon splitting using ultra-high-energy gamma-ray observations from HEGRA 2017PhRvD..95f3001M ; 2019JCAP…04..054A , Tibet 2019EPJC…79.1011S , HAWC 2020PhRvL.124m1101A , and LHAASO 2021arXiv210612350T . We also show limits due to LIV energy-dependent time delay searches with the Fermi/LAT 2013PhRvD..87l2001V . Obviously, the limits on EQG,1E_{{\rm QG},1} and EQG,2E_{{\rm QG},2} from photon decay and photon splitting are at least four orders of magnitude stronger than those from the time delay method.

Additionally, observations of linear polarization from astrophysical sources have been widely used to place limits on the vacuum birefringent parameter η\eta. By comparing Eqs. (1) and (11), we can derive the conversion from η\eta to the limit on the linear LIV energy scale, i.e., EQG,1=Epl2ηE_{{\rm QG},1}=\frac{E_{\rm pl}}{2\eta}. At this point, it is interesting to make a comparison of recent achievements in sensitivity of polarization measurements versus photon decay measurements. The detection of linear polarization in the prompt gamma-ray emission of GRB 061122 yielded the strictest limit on the birefringent parameter, η<0.5×1016\eta<0.5\times 10^{-16}, which corresponds to EQG,1>1.2×1035GeVE_{{\rm QG},1}>1.2\times 10^{35}~{}\mathrm{GeV} 2016MNRAS.463..375L ; 2019MNRAS.485.2401W . Obviously, this polarization constraint is about 11 orders of magnitude stronger than the constraint from photon decay (EQG,1>1.4×1024GeVE_{{\rm QG},1}>1.4\times 10^{24}~{}\mathrm{GeV}) 2021arXiv210612350T . However, both time-of-flight constraints and photon decay constraints are essential in an extensive search for nonbirefringent Lorentz-violating effects.

Refer to caption
Figure 4: Comparison of the constraints on the superluminal LIV energy scales derived from different experiments with different methods. We show strong constraints due to photon decay (e+ee^{+}e^{-}), photon splitting (3γ3\gamma), and energy-dependent time delay (Δt\Delta t). The vertical dashed lines correspond to the Planck energy scale EPlE_{\rm Pl}.

5 Summary and outlook

Many tight constraints on violations of Lorentz invariance have been achieved by observing tiny changes in light that has propagated over astrophysical distances. Some of these search for a frequency-dependent velocity resulting from vacuum dispersion. Some works seek a change in polarization arising from vacuum birefringence. Others look for a hard cutoff in the gamma-ray spectra due to photon decay and photon splitting.

For vacuum dispersion studies, in order to tightly constrain the LIV effects one should choose those explosive astrophysical sources with shorter spectral lags, higher energy emissions, and longer propagation distances. As the most energetic bursting events occurring at cosmological sources, GRBs are excellent astrophysical probes for LIV constraints in the dispersive photon sector. In the past, emission from GRBs had been detected only at energies below 100 GeV, and LIV limits from time-of-flight measurements of GRBs had also been restricted in the relatively low energy range. Now that photons of energies above 100 GeV have been detected from two bright GRBs (GRB 190114C 2019Natur.575..455M and GRB 180720B 2019Natur.575..464A ), opening a new spectral window in GRB research. It is expected that such detections will become routine in the future 2019Natur.575..448Z , especially with the operations of facilities such as HAWC, LHAASO, and the future international Cherenkov Telescope Array. Vacuum dispersion constraints will greatly benefit from the observations of extremely high-energy emission of more GRBs. For vacuum birefringence studies, in order to obtain tighter constraints on the LIV effects one should choose those astrophysical sources with longer distances and polarization measurements at higher energies. In this respect, the ideal sources to seek LIV-induced vacuum birefringence would be polarized gamma-rays from bright GRBs at deep cosmological distances. The technology for measuring polarization in the 5 to 100 MeV energy range has been constantly improved and developed. As more and more gamma-ray polarimeters (such as POLAR-II, TSUBAME, NCT/COSI, GRAPE; see 2017NewAR..76….1M for a review) enter service, more polarized astrophysical sources at higher gamma-ray energies are expected to be detected. Polarization measurements of cosmological sources such as GRBs at such energies will further improve LIV constraints through the vacuum birefringent effect. For photon decay studies, in order to obtain more stringent bounds on the LIV effects one should choose those astrophysical sources with abundant ultra-high-energy photons. High energy resolution of spectrum measurements are desired to determine whether there is a hard cutoff consistent with the prediction of photon decay in the observed spectra of astrophysical sources. When using ultra-high-energy photons for LIV limits, we should be careful with the uncertainty for failure to reject a cosmic-ray event. Owing to its unprecedented capability of cosmic ray background rejection and high energy resolution 2021Natur.594…33C , LHAASO has competitive advantage in constraining LIV-induced photon decay.

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