Jets in a Gamma-Ray Burst During its Prompt Emission: Evolution of Lorentz Factor
Abstract
Knowledge about the Lorentz factor and its evolution of relativistic jets in gamma-ray bursts (GRBs) is crucial to understand their physics. An exact value of bulk Lorentz factor can be estimated based on a high-energy spectral cutoff, which may appear in GRBs’ prompt emission owing to the absorption of photon-photon pair production. In this work, we focus on the investigation of the bulk Lorentz factor evolution of jets in an individual burst. Based on Fermi observations, we search for the bursts with multiple -ray pulses characterized by a high-energy spectral cutoff, and nine GRBs are obtained. Together with the estimation of the pulse duration and radiation spectrum, the Lorentz factor of jets corresponding to different pulses in an individual GRB are estimated. It is shown that the Lorentz factor of jets in an individual GRB fluctuates within a certain range and without a general trend in these nine GRBs. In addition, the Lorentz factors of the jets in GRBs 130821A, 160509A and 160625B seem to increase with time. We also study the relations among , , and for the pulses in our sample, which is found to be consistent with that found in previous works.
1 Introduction
Gamma-ray bursts(GRBs) are among the most powerful explosions in the universe (e.g., Piran, 2004; Zhang, 2007). It was early realized on that the phenomena of GRBs are associated with an relativistic jet (Krolik & Pier, 1991; Fenimore et al., 1993; Woods & Loeb, 1995; Baring & Harding, 1997a). However, the physical origin for the prompt emission of GRBs is still controversial. Several scenarios have been proposed, e.g., the internal shock formed in an erratic relativistic fireball (Rees & Meszaros, 1994; Paczynski & Xu, 1994), the photosphere of the fireball (Thompson, 1994; Ghisellini & Celotti, 1999; Pe’er et al., 2006; Thompson et al., 2007; Giannios, 2008; Lazzati & Begelman, 2010; Mizuta et al., 2011; Lazzati et al., 2013; Ruffini et al., 2013), the discharged magnetic energy of a Poynting-flux-dominated jet (e.g., Spruit et al., 2001; Drenkhahn & Spruit, 2002; Giannios, 2008; Zhang & Yan, 2011; McKinney & Uzdensky, 2012; Kumar & Crumley, 2015; Sironi et al., 2016; Beniamini & Granot, 2016; Granot, 2016 ), the external shock formed during the deceleration of the jet (Burgess et al., 2016; Huang et al., 2018), or a hadronic scenario that the synchrotron radiation from a population of relativistic protons gives rise to the observed prompt emission (Oganesyan et al., 2019; Ghisellini et al., 2020; Florou et al., 2021). A GRB jet is either Poynting-flux-dominated or matter-dominated, and suffered from acceleration at the expense of dissipating its magnetic or thermal energy. After the initial acceleration, the jet may enter the coasting phase, maintaining a constant Lorentz factor until it sweeps up a certain mass from the circum-burst medium to reach the deceleration radius. Beyond the deceleration radius, the Lorentz factor of the GRB jet decreases significantly, characterized by a power-law decay with respect to the observation time. Corresponding to different scenario for the prompt emission, the Lorentz factor evolution of a jet or jets in an individual GRB may be very different. In the internal shock scenario for the prompt emission, the Lorentz factor of jets corresponding to different pulse in an individual GRB reveals the fluctuation of the central engine of GRB. Accompanying the discharged of the magnetic energy, different pulses of the prompt emission can be produced and thus the Lorentz factor corresponding to different pulses may reveal the fluctuation in the emission region.
Since Lorentz factor varies depending on the phase of GRBs, the Lorentz factor is a critical parameter in understanding the physics of GRBs. Several methods for estimating the Lorentz factor of GRB jets have been proposed in the literatures: (1) The widely used method is to employ the onset bump of the afterglows, which signals the deceleration of the GRB jets. In this scenario, the bulk Lorentz factor of the jets after producing the prompt emission is related to the peak time of the onset bump (e.g., Meszaros & Rees, 1993; Sari & Piran, 1999; Zhang et al., 2003; Molinari et al., 2007; Lü et al., 2012). It should be noted that the value of corresponds to the mean value of jets’ Lorentz factor. (2) The “compactness problem” of GRBs is also used to infer the Lorentz factor of jets. It is early expected that the high-energy photons would be absorbed to produce pairs if the Lorentz factor of GRB jet is not large enough. Then, the observations of higher energy photons would give stringent constraints on the Lorentz factor of jet. In general, a high-energy spectral cutoff would appear in the observed radiation spectrum owing to the abortion of high-energy photons. Then, the high-energy spectral cutoff is also used to estimate the Lorentz factor of the GRB jet (Krolik & Pier, 1991; Fenimore et al., 1993; Woods & Loeb, 1995; Baring & Harding, 1997b; Lithwick & Sari, 2001; Baring, 2006; Ackermann et al., 2011, 2013; Tang et al., 2015; Lin et al., 2019). (3) Theoretically, the photosphere of a GRB jet is related to the Lorentz factor of the jet. Thus, measuring the temperature and flux of the thermal components in the early stages of the fireball (before the break) can limit the outflow bulk Lorentz factor of fireball model parameters (e.g., Pe’er et al., 2007; Zou et al., 2015; Deng et al., 2022; Wang et al., 2022). However, only several bursts are believed to be confidently identified with the thermal emission in the prompt emission. (4) For most of GRBs, the observations reveal that the emission from the external shock is not brighter than the prompt emission. Then, an upper limit of for different environment can be derived according to the standard internal-external shock mode (e.g., Zou & Piran, 2010). Of course, some correlations about the Lorentz factor have been studied successively and used to estimate the Lorentz factor of GRB’s jet (e.g., Mu et al., 2016). Liang et al. (2010) have discovered a correlation . By including more GRBs with update data, Lü et al. (2012) discovered an even tighter correlation . Moreover, Liang et al. (2015) proposed a tight correlation among , , and based on a multiple regression analysis, which take the form of or . These empirical correlations can provide a rough estimation about the Lorentz factor of GRBs’ Jet.
The above literatures are mainly focused on the Lorentz factor of GRBs’ jet in a certain phase. The evolution of the Lorentz factor in an individual burst has not been studied extensively (e.g., Lin et al., 2019), especially for the prompt emission phase. In this paper, we study the evolution of jets’ Lorentz factor in an individual burst, assuming that the high-energy spectral cutoff is induced by the absorption of two-photon pair production (). This paper is organized as follows. In Section 2, we present the sample selection and data reduction for bursts with high-energy spectral cutoff. In Section 3, we present the light-curve fitting and spectral analysis about the pulses of GRBs in our sample. In Sections 4, the Lorentz factor of jet corresponding to different pulses is estimated. Correspondingly, the evolution of Lorentz factors in the process of burst appears. With the total of nine GRBs having measurement of the Lorentz factors and of which 34 pulses have the characteristics of high-energy spectral cutoff, we further test the correlations among , , and . The value of is estimated for different GRBs and compare with the initial Lorentz factor estimated based on the external-shock afterglow, which are also presented in this section. In Sections 5, we present the conclusions.
2 Sample selection and Data Reduction
The Fermi satellite includes two instruments, Gamma-ray Burst Monitor (GBM, Meegan et al., 2009) and Large Area Telescope (LAT, Atwood et al., 2009) instruments, and provide unprecedented spectral coverage for seven orders of magnitude in photon energy (from keV to GeV). GBM has 12 sodium iodide (NaI) scintillation detectors covering the 8 keV-1 MeV energy band, and two bismuth germanate (BGO) scintillation detectors that are sensitive to the 200 keV-40 MeV energy band (Meegan et al., 2009). The energy coverage of LAT is 20 MeV-300 GeV. Since the launch of Fermi satellite, more than 2620 GRBs were detected by the GBM. Over one hundred bursts have been co-detected by the GBM and LAT, but only 77 bursts were recorded in Fermi LAT Low-Energy Events catalog (LLE). We search for the bursts with high-energy spectral cutoff due to two-photon pair production, which generally appears in the high-energy range MeV. Then, the GRBs simultaneously observed by GBM and LLE would be the candidate in our search. The python source package gtBurst is used to extract the light-curves and source spectra of GBM and LAT from their Time-Tagged Events (TTE) data, respectively. The joint spectral fittings for different pulses are performed. We select the burst of which at least two pulses are presented with a high-energy spectral cutoff in their radiation spectrum. There are nine GRBs (GRBs 090323, 090926A, 100724B, 120226A, 130821A, 160509A, 160625B, 170405A, and 180720B) in our sample, of which six have redshift measurement and three have no redshift measurement. In our analysis, the redshift of is set for bursts without redshift measurement. GRB 130427A and GRB 190114C are among most powerful bursts with the highest-energy photons around 94 GeV and 22.9 GeV respectively based on Fermi-LAT detection (e.g., Zhu et al., 2013; Ackermann et al., 2014; Kocevski et al., 2019; MAGIC Collaboration et al., 2019). However, GRB 130427A is very difficult to distinguish pulses due to the multi-peaked structure in the period of [6.0, 11.5] s after the Fermi trigger. More importantly, the time-resolved spectra of this burst could not be fitted with Band+cutoff model (see Equation (3)). The comprehensive spectral analysis about this burst can be found in Ackermann et al. (2014). The comprehensive spectral analysis of GRB 190114C can be found in Ursi et al. (2020) and Ajello et al. (2020). We also performed the spectral analysis of the pulses in this burst. It is found that the radiation spectrum of the pulses could be fitted with Band, Band+PL, or Band+CPL rather than Band+cutoff, where PL and CPL represent the power-law and cutoff power-law spectral models, respectively. In addition, the radiation spectrum in some pulses of this burst seems to be complicated. Therefore, GRB 130427A and GRB 190114C are not discussed in this paper.
We download data from the FSSC (Fermi Science Support Center)111https://fermi.gsfc.nasa.gov/ssc/data/access/. The light-curves are extracted with the standard HEASOFT tools XSPEC command gtbin. For LAT light-curves, we performed a standard photon selections based on energy, Region Of Interest (ROI), time, and zenith, which removing the effects of the earth’s limb. During the spectral analysis, radiation spectra are extracted with the gtBurst222https://fermi.gsfc.nasa.gov/ssc/data/analysis/scitools/gtburst.html, and TTE data from the brightest NaI and BGO detector and public LLE are used, if the LAT data were available, we also included them in the joint spectral analysis. For the standard LAT data, instrument response function P8R3SOURCEV2 are used. We adopt the photon above 100 MeV in a ROI of 12 degree, and exclude the events with zenith angles 100∘ in order to avoid contribution of Earth-limb gamma rays. Then joint spectral fitting of GBM and LAT data is performed with XSPEC, which judges the goodness of fit using the “Poisson-Gauss” fit statistic (i.e., PGSTAT).
3 Light-curve and Radiation Spectrum Fittings for Pulses in our Sample
The light-curves of our selected bursts are shown in Figure 1 with black lines. In this paper, we study the evolution of jets’ Lorentz factor corresponding to different pulses in an individual GRB. Then, we first decompose the light-curves into different pulses. To identify a pulse, we employ an empirical pulse model (Kocevski et al., 2003; Lu et al., 2018), i.e.,
(1) |
where measures the offset of the th pulse zero time relative to the GBM trigger time (i.e., if ), is the time of the peak flux (), and and are the power-law rising and decaying indices, respectively. The values of , , , , and are generally different for different pulses. The labels of pulses in a burst are in chronological order for their peak time. If the number of pulses in a burst is , the total light-curves of this burst can be described as
(2) |
The light-curve fitting is processed based on the light-curve of counts in the energy channel 8-1000 keV and the results are shown in Figure 1 with red lines. The light-curve fitting result for each single pulse in an individual burst of our sample is also reported in Table 1. With the light-curve fitting results, the full width at the half maximum(FWHM) of a pluse can be estimated and is used as the duration of the corresponding pulse in our estimation of Lorentz factor. The value of for different pulses is our main focus in the light-curve fitting and is reported in the eighth column of Table 1.
After identifying a pulse, we perform the joint spectral analysis in order to estimate the radiation spectrum and the high-energy cutoff energy (or its lower limit). Generally, the radiation spectrum of a GRB can be well fitted with a smoothly connected broken power law, which is known as the Band function (Band et al., 1993). If there is absorption by the two-photon pair production for high-energy photons, a high-energy spectral cutoff would appear in the radiation spectrum. Then, we adopt the Band+cutoff spectral model, i.e.,
(3) |
with
in our spectral analysis. Equation (3) would be reduced to the Band function if is significantly high compared with the maximum photon energy observed by the Fermi satellite. For the pulses in our sample, we will use Band or Band+cutoff spectral model to fit the radiation spectrum, where Equation (3) with keV is used as the Band spectral model in our fittings. As an example, Figure 2 presents the spectral fitting results of the pulses in GRB 160509A. One can find that the high-energy spectral cutoff is obvious in some pulses of this burst. All of our spectral fitting results are reported in Table 2. It can be found that three GRBs, i.e., GRBs 090926A, 120226A, and 170405A, in our sample have two pulses detected with high-energy spectral cutoff, two GRBs, i.e., GRBs 090323 and 160625B, have three pulses detected with high-energy spectral cutoff, and four GRBs (i.e., GRBs 100724B, 130821A, 160509A and 180720B) have more pulses detected with high-energy spectral cutoff. The high-energy spectral cutoff ranges from 19.21 to 702.56 MeV for the pulses in our sample.
4 Lorentz Factor Estimation and Evolution in a Burst
4.1 Lorentz Factor Estimation and Correlations
Method to estimate Lorentz factor. In the scenario that two-photon pair production is responsible to the high-energy spectral cutoff, one can estimate the Lorentz Factor of jet for the corresponding pulse by taking . The photoabsorption optical depth of photons with energy from low-energy photons emitted cospatially in the jet shell is given by (Abdo et al., 2009),
(4) |
where is the Thomson scattering cross-section, is the distance of the burst relative to the observer, is the distance of the emission region with respect to the central engine of GRB, keV, , is the duration of a pulse (see the 2nd column in Table 1), is the Lorentz factor of the emission region, for , and is the velocity of light. The relation is valid for the internal shock model, where is the full width at half maximum of the pulse in our analysis. Setting , the Lorentz factor is given by
(5) |
One should note that GRB spectrum usually appears to be a steep slope and thus we only expect high-energy photons might be totally attenuated by low-energy ones, rather than the other way around (Li, 2010). Then, one can have , or,
(6) |
In this paper, the Lorentz factor of a jet corresponding to a pulse with Band+cutoff radiation spectrum is estimated with
(7) |
We note that the radiation spectrum of some pulses can be well described with Band function rather than Band+cutoff. That is to say that the high-energy spectrum shows no cutoff. It implies that the optical depth of the maximum observed photon by Fermi satellite is . This allows the minimum Lorentz factor to be estimated by
(8) |
Equation (8) is used to estimate the lower limit of Lorentz factor for pulse with Band radiation spectrum.
Lorentz factor for pulses and Associated Correlations. Based on our spectral fitting results and Equation (7) or (8), we estimate the Lorentz factor or its lower limit for the jet corresponding to our pulses, which are reported in Table 2. The Lorentz factor (blue symbols) or its lower limit (green symbols) are also plotted in Figure 1. It can be found that the Lorentz factor of pulses with high-energy spectral cutoff in our sample ranges from 60 to 682.
It has been suggested that the Lorentz factor correlates with other quantities of the pulses such as the value of or (e.g., Lü et al., 2012; Liang et al., 2015). Lü et al. (2012) makes a detail analysis of 38 GRBs with the initial bulk Lorentz factor of the jet producing the external-shock afterglow and found a tight relation between and , i.e., . In the upper-left panel of Figure 3, we show the relation of - for our pulses, where the blue and green symbols represent the quantities of the pulse with the exact or lower limit of Lorentz factor, the black line is the relation of , and the black and red symbols are the same as those in figure 2 of Lü et al. (2012). It is found that the relation of our - is consistent with but with slightly high index.
It is found that the Lorentz factor of the outflow not only depends on the luminosity , but also depends on . Liang et al. (2015) compiled a sample of 34 long GRBs with known , , and and studied the relation among , , and . The relations of and are obtained. In the upper-right and bottom-left panels of Figure 3, we show the relations of - and - for our pulses, where the values of () for our pulses is estimated with the formula ( keV) and the () is obtained through observational data. The black symbols, solid lines, and dashed lines are the same as those in the upper-left and upper-right panels of figure 2 in Liang et al. (2015), the blue and green symbols are the same as those in Figure 1. These two panels reveal that our pulses are highly consistent with correlations reported in Liang et al. (2015).
Lorentz factor for External-shock Afterglow. Central engines of GRBs may be intermittent and launch several episodes of jet shells, which is responsible for different pulses in the prompt emission. In this scenario, the external-shock is formed due to the propagation of the preceding (merged) jet shell into the circum-burst medium. The jet shells launched from the central engine would collide with each other and a single merged jet shell may appear soon afterwards. If the onset bump of the afterglow appears after the prompt emission, the single merged shell is responsible for the onset bump. In this scenario, the initial Lorentz factor of the jet producing the external-shock afterglow can be estimated as with
(9) |
where , , and are the isotropic energy, Lorentz factor, and the radiation efficiency of the jet corresponding to th pulse in a burst. For our bursts, the value of is estimated and compared with the initial Lorentz factor estimated based on the external-shock afterglow, which are shown in the bottom-right panel of Figure 3. The values of and for the burst in our sample are also reported in Table 3. The detailed discussion about the values of and will be made in Section 4.2.
4.2 Lorentz Factor Evolution for an individual Burst in our sample
According to the results showed in Figure 1, one can find that the Lorentz factor of pulses with high-energy spectral cutoff in our sample ranges from 60 to 682. In addition, the Lorentz factor of jets in an individual burst generally fluctuates within a certain range and without a general trend, except GRBs 130821A, 160509A, and 160625B. In GRBs 130821A, 160509A, and 160625B, the Lorentz factor of jets in an individual burst seems to increase with time.
-
•
The prompt emission of GRB 090323, which is the second most energetic LAT-detected burst after GRB 080916C, consists with multiple distinct pulses over s and a main emission episode in the period of s. With the cutoff energy in the radiation spectrum, the Lorentz factor of jet corresponding to different pulses can be found in Figure 1. Based on the assumption that the peak flux time in the LAT light-curve (40 s) represents the fireball deceleration time, Ackermann et al. (2013) obtained in an ISM circum-burst environment and in a wind circum-burst environment. From Figure 1, only one pulse appears at s and the corresponding Lorentz factor is estimated to be 186, which is very different from estimated in Ackermann et al. (2013). In the scenario that the pulses in this burst formed in the jets launched in different times, the bulk Lorentz factor of the jet producing the external-shock afterglow at s is estimated to be based on Equation (9). Unfortunately, the Lorentz factor of the fireball in the afterglow phase at s is no estimated.
-
•
GRB 090926A is a long bright GRB and clearly shows a short spike at s in all detectors of Fermi satellite (Ackermann et al., 2011). However, the high-energy spectral cutoff is only found in two pulses of this burst. Then, the evolution of Lorentz factors could not be constrained. Based on the assumption that the peak flux time in the LAT light-curve ( s) represents the fireball deceleration time, Ackermann et al. (2013) estimate the initial Lorentz factor of the jet producing the external-shock afterglow. The value of and are obtained for an ISM and a wind circum-burst environment, respectively. For this burst, the initial Lorentz factor of the jet in the afterglow phase is also estimated to be based on Equation (9). This value is consistent with the value of in a wind environment as shown in the bottom-right panel of Figure 3, which may imply a wind environment for this burst. Similarly, the high-energy spectral cutoffs are also found only in two pulses in GRB 120226A and GRB 170405A. Then, the evolution of Lorentz factor for pulses could not be constrained in these two bursts.
-
•
GRB 100724B has multiple peaks of varying intensity as shown in Figure 1. Characteristic features of GRB 100724B are the simultaneous emissions at MeV and GeV (Del Monte et al., 2011). This GRB displays a pronounced Lorentz factor evolution pattern, with its evolution beginning slowly and then varying around within a small fluctuation. For GRB 100724B, the initial Lorentz factor of the jet in the external-shock phase is estimated as based on Equation (9). Unfortunately, there is no afterglows used to estimated the initial Lorentz factor of jet producing the external-shock.
-
•
GRB 130821A can be decomposed into the main emission episode, which is presented as an obvious multi-peak lasting around 40 s and contributes around of the -rays energy in this burst, and the followed two sporadic short peaks at s and s, respectively. Figure 1 reveals that the Lorentz factor of GRB 130821A in the main emission episode seems to increase with time. With the peak flux time of the LAT light-curve, the initial bulk Lorentz factor of jet is estimated to be (Liang et al., 2014), which is very different from the value estimated based on Equation (9), i.e., . The deviation between and can be solved if the bulk Lorentz factor of jet producing the main emission episode in GRB 130821A increases with time. Together with the Lorentz factor evolution shown in Figure 1, we would like to believe that the Lorentz factor of the jet or jets in GRB 130821A should increase with time.
-
•
GRB 160509A consists of multi-pulses with Lorentz factor of jets fluctuating around 180. With Swift X-ray and ground-based radio, near-infrared, and optical data up to 20 days, Laskar et al. (2016) argued that the afterglow emission comprises distinct external-reverse shock and external-forward shock contributions. Based on the joint analysis of these two emission components, they finally derived the initial Lorentz factor based on the deceleration time . Taking Fermi-LAT observations into account, however, Fraija et al. (2020) obtained an initial Lorentz factors of (corresponding to the deceleration time s for a fireball with erg decelerated in an uniform-density circum-burst medium ) after modeling the multi-wavelength observations together with a external-forward and external-reverse shock. For this burst, the initial Lorentz factor of the jet is estimated as for pulses appearing at s based on Equation (9). The deviation between and can be solved if the bulk Lorentz factor of jet in GRB 160509A increases with time. In Figure 1, the Lorentz factor of jets corresponding to different pulses in GRB 160509A indeed seems to be increase with time.
-
•
GRB 160625B is one of the brightest bursts in recent years. One distinct feature of this burst is the multi-bursting behavior, which is separated by two quiescent times. Alexander et al. (2017) argued that the radio emission of this burst is dominated by the external-reverse shock and external-forward shock components formed during the jet propagating in an ISM environment, and adopt three external-reverse shock models to decipher the radio data. The corresponding bulk Lorentz factor of the jet producing the external-reverse shock are collected in Table 3. For this burst, the initial Lorentz factor of the jet producing the external-shock afterglow is estimated to be based on Equation (9), which is consistent with estimated based on the model 1 in Alexander et al. (2017). However, Fraija et al. (2017) argued that the early afterglow are consistent with the external-shock in a wind-like circum-burst environment and the late afterglow are consistent with the external-shock in an ISM circum-burst environment. They obtained the initial Lorentz factor , which is corresponding to the deceleration time s based on equation (46) of Fraija (2015). This may reveal that the Lorentz factor of the jet or jets in GRB 160625B may increase with time in the episode of s if this burst is in the wind-to-ISM circum-burst environment.
-
•
GRB 180720B is a long and powerful burst with observation of sub-TeV gamma-rays in its afterglow. The simultaneous multi-wavelength observations of this burst were presented over multiple periods of time beginning just after the trigger time and extending to more than 30 days (Fraija et al., 2019). The prompt emission of this burst last around 50 s, with main emission episode in the period of s. Figure 1 reveals that the Lorentz factor of GRB 180720B in the main emission episode varies with time and without an increase or a decrease trend. Based on the assumption that the peak flux time in the LAT light-curve represents the fireball deceleration time, Ronchi et al. (2020) estimated the initial Lorentz factor of the jet producing the external-shock afterglow with a wind-like or ISM circum-burst environment. The results are collected in Table 3. Based on Equation (9), the initial Lorentz factor of the jet is estimated to be , which is consistent with that estimated in the wind circum-burst environment, i.e., (Ronchi et al., 2020). This result may reveal that the jet launched in different episode is responsible for the different pulse in the main emission episode of this burst.
5 Conclusions
This paper is dedicated to study the Lorentz factor evolution for jets in an individual GRB during the process of the burst. Then, we search for GRBs with spectral cutoff featuring in their high-energy regime during its prompt emission phase. We showed nine GRBs (GRBs 090323, 090926A, 100724B, 120226A, 130821A, 160509A, 160625B, 170405A, and 180720B) that satisfy our sample selection principles. A total of 70 different pulses is obtained, 34 of which are characterized by high-energy spectral cutoff. In the scenario that the two-photon pair production is responsible for high-energy spectral cutoff, we estimated the Lorentz factor of jet corresponding to the studied pulse. It is found that the Lorentz factor of jet corresponding to the pulse with high-energy spectral cutoff in our sample ranges from 60 to 682. In addition, the Lorentz factor of jets in an individual burst generally fluctuates within a certain range and without a general trend, except GRB 130821A, GRB 160509A and GRB 160625B. In GRB 130821A, GRB 160509A and GRB 160625B, the Lorentz factor of jets in an individual burst seems to increase with time. In GRBs 090926A, 120226A and 170405A, the high-energy spectral cutoff is only found in two pulses of these bursts and thus the Lorentz factor evolution in these bursts could not be constrained. The different behavior of the Lorentz factor evolution found in these GRBs may suggest the difference in jet composition in these bursts. Meanwhile, we also examine the relations among , , and for pulses in our sample. It is found that the relation is consistent with that found in Lü et al. (2012) and the relations are consistent with these reported in Liang et al. (2015).
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GRB | pulse | aaIn units of . | bbIn units of seconds. | bbIn units of seconds. | bbIn units of seconds. | aaIn units of . | ||
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090323 | 65.0 | |||||||
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- | ||||||||
- | ||||||||
- | ||||||||
090926A | 98.0 | |||||||
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100724B | 80.0 | |||||||
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120226A | 80.0 | |||||||
- | ||||||||
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130821A | 89.1 | |||||||
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160509A | 100.0 | |||||||
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- | ||||||||
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160625B | 77.0 | |||||||
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170405A | 97.0 | |||||||
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180720B | 79.3 | |||||||
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GRBaaRedshift measurements reference. GRB 090323, =3.57, Ackermann et al. (2013). GRB 090926A, =2.1062, Ackermann et al. (2013). GRB 160509A, =1.17, Tanvir et al. (2016). GRB 160625B, =1.406, D’Elia et al. (2016). GRB 170405A, =3.51, de Ugarte Postigo et al. (2017). GRB 180720B, =0.654, Vreeswijk et al. (2018). Bursts with no redshift measurements are assumed to have . | pulse | or bb and are in the unit of MeV and is in unit of . | bb and are in the unit of MeV and is in unit of . | ccThe exact value of is derived from Equation (7) and the lower limit of is from based on Equation (8). | dd is estimated in the 8 keV-100 GeV energy band. | ||||||
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090323 | |||||||||||
090926A | |||||||||||
100724B | |||||||||||
120226A | |||||||||||
130821A | |||||||||||
160509A | |||||||||||
160625B | |||||||||||
170405A | |||||||||||
180720B | |||||||||||
GRB | Pulses for estimating | References for | ||
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090323 | 0-150 s | (ISM) | Ackermann et al. (2013) | |
s | (wind) | |||
090926A | 0-18 s | for ISM (lower limit) | Ackermann et al. (2011) | |
s | for wind (lower limit) | |||
for ISM | Ackermann et al. (2013) | |||
for wind | ||||
100724B | 0-80 s | |||
120226A | 0-60 s | |||
130821A | 20-60 s | Liang et al. (2014) | ||
160509A | 5-20 s | Fraija et al. (2020) | ||
160625B | 185-210 s | Reverse Shock (Model 1)(ISM) | Alexander et al. (2017) | |
Reverse Shock (Model 2)(ISM) | ||||
Reverse Shock (Model 3)(ISM) | ||||
(wind-to-ISM) | Fraija et al. (2017) | |||
170405A | 0-100 s | (ISM) (upper limit) | Arimoto et al. (2020) | |
or wind medium depend on specific parameters | ||||
180720B | 0-60 s | for wind and km s-1 | Ronchi et al. (2020) | |
for ISM and cm-3 |
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