Abstract
The giant flares of soft gamma-ray repeaters (SGRs) have long been proposed to contribute to at least a subsample of the observed short gamma-ray bursts (GRBs). In this paper, we perform a comprehensive analysis of the high-energy data of the recent bright short GRB 200415A, which was located close to the Sculptor galaxy. Our results suggest that a magnetar giant flare provides the most natural explanation for most observational properties of GRB 200415A, including its location, temporal and spectral features, energy, statistical correlations, and high-energy emissions. On the other hand, the compact star merger GRB model is found to have difficulty reproducing such an event in a nearby distance. Future detections and follow-up observations of similar events are essential to firmly establish the connection between SGR giant flares and a subsample of nearby short GRBs.
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1. Introduction
With the joint detection of the gravitational-wave event GW170817 and the short gamma-ray burst (GRB) GRB 170817A, mounting evidence has been established to support that at least some short GRBs can originate from the merger of two compact stars in, e.g., binary neutron star or black hole–neutron star systems. Nevertheless, such an association still allows the alternative model that giant flares (GFs) from magnetars (manifested as soft gamma-ray repeaters (SGRs)) in nearby galaxies can also produce short GRB–like events, even though only GRB 051103 (Ofek et al. 2006; Frederiks et al. 2007b) and GRB 070201 (Mazets et al. 2008; Ofek et al. 2008) have been proposed as candidates for GF short GRBs in the past.
The discovery of SGRs in 1979 (e.g., Mazets et al. 1979a, 1979b) suggested that some short hard X-ray and soft GRBs with highly nonuniform periods came from the same source. Observations have revealed that different kinds of bursts can be detected from SGRs, namely recurrent bursts and GFs. Recurrent bursts can be relatively common during the reactivation periods after the long-term quiescence of SGRs. The spectral temperature of about 25–35 keV obtained from the optically thin thermal bremsstrahlung (OTTB) model often characterizes the recurrent bursts in the 20–200 keV range (Mazets et al. 1982; Golenetskii et al. 1984; Laros et al. 1986; Woods et al. 1999). In previous time-integrated spectral analyses, the spectra of the most recurrent bursts can be described by thermal models (e.g., OTTB, blackbody (BB), or the sum of two BBs), nonthermal models (e.g., power law or cutoff power law), or some more complex models (van der Horst et al. 2012; Kırmızıbayrak et al. 2017). A GF is another type of SGR activity, but rarer and more powerful. There are only three confirmed GFs discovered since 1979 from three SGRs: SGR 0526–66 (Mazets et al. 1979b, 1982), SGR 1900+14 (Cline et al. 1998; Hurley et al. 1999;Kouveliotou et al. 1999; Mazets et al. 1999b), and SGR 1806–20 (Hurley et al. 2005; Mereghetti et al. 2005; Palmer et al. 2005; Frederiks et al. 2007a). The initial pulse is the most intense component of the GF, which is usually characterized by an abrupt rise and a quasi-exponential decay in the light curve and hard spectra that rapidly evolve with time (Hurley et al. 1999; Mazets et al. 1999b; Frederiks et al. 2007a). The subsequent pulsating tail represents some quasi-periodic oscillation (QPO) behaviors (Israel et al. 2005; Strohmayer & Watts 2005). Its spectral temperature is similar to those of recurrent bursts. The intensities of pulsating bursts often show an exponential decay (Mazets et al. 1999b). In addition, a peculiar burst detected in SGR 1627–41 behaved very similarly to other GFs when its intensity, spectral properties, and energy are taken into account, even though it ended with a single pulse and exhibited no steep rise in the light curve (Mazets et al. 1999a; Woods et al. 1999).
Some SGRs are coincident with young (
) supernova remnants (Cline et al. 1982; Kulkarni & Frail 1993) or located in regions with a high star formation rate. Observations show that SGRs are detected as a continuous X-ray radiation source (Murakami et al. 1994) with periodic light curves during its quiescent phase. The magnetar model (Duncan & Thompson 1992; Thompson & Duncan 1995) has long been proposed to generate SGRs. In the context of the magnetar model, the internal heating caused by the decaying magnetic field (e.g., Thompson & Duncan 1996) or the currents in the twisted global magnetosphere (Thompson et al. 2002) sustained by the twisting motion (Thompson et al. 2000) of the magnetar crust have been suggested to explain the X-ray emission from SGRs. The SGR bursts can be energized during starquakes that result from fractures of the neutron star crust when the crust undergoes strong magnetic stresses (Thompson & Duncan 1995). In this scenario, the neutron star is characterized by a dipolar magnetic field of
G (Duncan & Thompson 1992). Thompson et al. (2002) proposed the presence of a twisted magnetosphere, which will increase the spin-down. Large-scale magnetic reconnection can take place in a twisted magnetosphere (Parfrey et al. 2013) to heat the magnetic corona (Lyutikov 2003). The helical distortion or interchange instability of the interior magnetic field ruptures the magnetar crust, and then the large-scale twisting exterior magnetic field in the global magnetosphere may lead to the dissipation of enormous magnetic energy to produce a GF (Thompson & Duncan 2001).
The typical energy of a magnetar GF is
erg (Mazets et al. 1999b; Hurley et al. 2005). At a nearby galaxy with a distance of a few Mpc, such energy corresponds to a fluence level of
erg cm−2, which is roughly consistent with the observed fluence of short GRBs (Bhat et al. 2016). Additionally, the hard spikes of SGR GFs are also similar to short GRBs in terms of temporal and spectral properties (e.g., Mazets et al. 1982). The distant extragalactic GFs without detectable tails are suggested to be a subset of short GRBs with a nonnegligible fraction (Duncan 2001; Hurley et al. 2005; Lazzati et al. 2005). For these reasons, great interest has been shown in the possibility of an SGR GF origin once any short GRBs are detected at a location consistent with a nearby galaxy.
Recently, an extremely bright short-duration GRB, GRB 200415A, triggered the Fermi Gamma-ray Burst Monitor (GBM; Meegan et al. 2009) at 08:48:05.564 on 2020 April 15 UTC (hereafter T0; Bissaldi et al. 2020). This GRB was also detected by the High energy X-ray Telescope loaded on the Hard X-ray Modulation Telescope (HXMT-HE; Zhang et al. 2020; Li 2007), although the detectors were saturated early. Combining Konus-Wind and Swift-BAT data, the Inter-Planetary Network (IPN) located the burst source at
and δ = −25°11'37'' (J2000), with an error box area of 274 arcmin2 (Svinkin et al. 2020). This location lies close to the Sculptor galaxy (aka NGC 253), which has a distance of about 3.5 Mpc. The Sculptor galaxy is the seventh-brightest galaxy (besides the Milky Way) in the sky, with a half-light radius of 4' (Jarrett et al. 2003) and a distance of 5
7 to the center of the IPN position of GRB 200415A. Following Bloom et al. (2002), the probability of a random 274 arcmin2 region (3σ) on the sky falling so close to a galaxy with similar magnitude is
. Such an association likely points to an SGR GF origin. Unlike previous GF short GRB candidates that only have relatively limited information, we can investigate this event in unprecedented detail thanks to the high temporal and spectral resolution of the Fermi/GBM data in the hope of confirming that it was indeed an SGR GF but misclassified as a typical short GRB. To do so, we perform a comprehensive analysis of Fermi (including GBM and LAT) data on this burst, as shown in Section 2. In Section 3, we discuss its classification. This is followed by a summary and implications in Section 4.
2. Fermi Data Analysis
We retrieved the burst time-tagged event data set that covers the time range of GRB 200415A from the Fermi-GBM public data archive.14 Data reduction and analysis follow the procedures discussed in Zhang et al. (2011, 2016, 2018). The temporal and spectral properties of GRB 200415A are listed below.
2.1. Light Curves and Timescale
The multiwavelength light curves of this burst are shown in Figure 1 and derived from the photons collected by sodium iodide (NaI) detector n1 and bismuth germanium oxide (BGO) detector b0. The background is modeled via applying the "baseline" method (Zhang et al. 2018) to a wide time interval around the signal and subtracted in GBM light curves. The light curve obtained from HXMT-HE within 80–800 keV is added to the topmost panel in Figure 1. The correction of the aberration of light effect, which is 15.04 ms in terms of photon arrival time difference when they reached the GBM and HXMT-HE detectors, has been applied on the HXMT data. The count rates in the HXMT-HE light curve have also been corrected for the dead time and saturation (Xiao et al. 2020). The early 21 ms saturation time of HXMT-HE is shown with a gray shaded area in Figure 1. The light curves show a sharp peak at ∼T0 with a duration of
ms (see Figure 2), which consists of an abrupt rise (∼2 ms) and a steep decay (∼8 ms). The sharp peak is followed by a soft tail (also see Figure 3) that extends to ∼T0 + 0.2 s in lower energies.
Figure 1. Multiwavelength light curves obtained by combining the data from the Fermi/GBM NaI detector n1, Fermi/GBM BGO detector b0, and HXMT-HE detectors. The red vertical lines mark several time slices (as listed in Table 1) for spectral analyses. The gray shaded area corresponds to the early saturation time (about 21 ms) of the HXMT-HE detectors.
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Standard image High-resolution imageFigure 2. The T90 calculation. In the upper panel, the blue line shows the light curve obtained by combining the GBM-n1 and GBM-n3 data. The level of background is represented by the red line. In the lower panel, the accumulated counts are shown with the black line. The orange horizontal dashed (solid) lines are drawn at 5% (0%) and 95% (100%) of the total accumulated counts. In both panels, the T90 interval is marked by the green vertical dashed lines.
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Standard image High-resolution imageFigure 3. Light curves of GRB 200415A. Upper panel: Bayesian block light curve for GBM-n1 and energy scatters in the 8–900 keV range. Lower panel: combined light curve from the NaI detectors (n0, n1, n3, and n5) with the minimum Bayesian block bin size (3.8 ms). Inset: LAT-HE observations in 0–1000 s.
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Standard image High-resolution imageTo determine the minimal time variability (
), we employ the Bayesian block (Scargle et al. 2013) method on the photon events between 8 and 900 keV. The resulting blocks, as shown in the upper panel of Figure 3, can track the statistically significant changes in the light curve. The minimum bin size of the obtained blocks is 3.8 ms. We regard half of the minimum bin size as the minimal time variability of this burst (e.g., Vianello et al. 2018). We note that it is one of the smallest
among all GRBs in Figure 4, where we plot a sample of short and long GRBs in the T90–
plane obtained from Golkhou et al. (2015).
Figure 4. The T90–
diagram. The sample of short (square) and long (circle) GRBs is obtained from Golkhou et al. (2015), and GRB 200415A is highlighted by a red star.
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Standard image High-resolution imageThe combined light curve obtained from the NaI detectors (n0, n1, n3, and n5), binned at 3.8 ms, is shown in the lower panel of Figure 3. It is also clear that the high-energy emission starts and ends at ∼T0 – 0.005 and ∼T0 + 0.2 s, respectively, which consists of a first spike and a weak tail. Such a time range will be used for the spectral lag calculations in Section 2.2 and the spectral analyses in Section 2.3.
2.2. Spectral Lags
Systematic time lags among light curves in different energy bands have been observed in large GRB samples (e.g., Yi et al. 2006; Ukwatta et al. 2010; Shao et al. 2017). A curvature effect has been suggested as a cause of spectral lags in GRB prompt emission (e.g., Ioka & Nakamura 2001; Norris 2002; Shenoy et al. 2013). However, it has recently been found that the observed spectral lags cannot be explained by the curvature effect alone, and they are also related to a curved photon spectrum, decreasing magnetic field, and large emission region undergoing a rapid bulk acceleration (Uhm & Zhang 2016). The existence of spectral lags supports that the prompt emission in GRBs is generated via a Poynting flux–dominated jet that abruptly dissipates magnetic energy at a large distance from the engine (Uhm & Zhang 2016). Compared to long GRBs, short GRBs show negligible lags (Bernardini et al. 2015). For GRB 200415A, we select the time interval from
to
; then, we follow Zhang et al. (2012) to use the cross-correlation function (Norris et al. 2000; Ukwatta et al. 2010) to measure the time lags between any higher energy band and the lowest energy band in the GBM multiwavelength light curves, as shown in Figure 1. The uncertainties of time lags depend on the selected time interval and are estimated by Monte Carlo simulations (e.g., Ukwatta et al. 2010; Zhang et al. 2012). Interestingly, our results show that all of the lag values are very tiny (≲1 ms) and consistent with zero lag (Figure 5) when considering their uncertainties. Such a result is similar to previous studies (see, e.g., Zhang et al. 2009), where short GRBs were indicated with tiny lags. The tiny-lag result of GRB 200415A suggests that this event was likely not from a GRB jet but rather from a one-time fireball-like emission region. The spectral analyses in the next subsection confirm this suggestion.
Figure 5. Time lags between any higher energy band and the lowest energy band in the GBM multiwavelength light curves. Here ΔE is the difference of the lower limits of two energy bands. The zero lag is shown with a dashed blue line.
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Standard image High-resolution image2.3. Spectral Analysis
We perform both time-integrated and time-dependent spectral analyses between
and
. This time interval is divided into 13 slices (see Table 1 or Figure 1) according to the brightness and the count statistical significance for spectral fitting (Zhang et al. 2018), in which three slices (covering the first spike, weak tail, and total emission) are used for time-integrated spectral analyses, and others are used for time-dependent spectral analyses. Within each slice, we extract the spectra of GRB 200415A from two NaI detectors (n1, n3) that are within a 60° angle with respect to the burst and BGO detector b0. Corresponding background spectra are acquired by applying the baseline method (Zhang et al. 2018) to the time interval from
to
for each energy channel. The response matrices of the detectors are generated using the response generator provided by the GBM Response Generator.15
Then we use McSpecfit (Zhang et al. 2018) to perform the spectral fitting. Several spectral models, including single power law (PL), cutoff power law (CPL), band function (Band), BB, and their combinations, are adopted. Additionally, a multicolor BB (mBB) model is also used in this study. Assuming that the distribution of the thermal luminosity with temperature follows the PL of index m, the mBB model can be formulated as (Hou et al. 2018)

where

x = E/kT, and
, with the luminosity L in units of 1039 erg s−1 and the luminosity distance
in units of 10 kpc.
Table 1. Both Time-integrated and Time-dependent Spectral Fittings of GRB 200415A
| Time Intervals | Best | Flux | mBB Parameters | ||||
|---|---|---|---|---|---|---|---|
| (t1, t2) (s) | Model | (erg cm−2 s−1) |
(keV) |
kTmax (keV) | m | pgstat/dof | BIC |
| (−0.005, 0.005) | mBB |
|
|
|
|
278.5/350 | 302.01 |
| (0.005, 0.200) | CPL |
|
|
|
|
277.8/350 | 301.28 |
| (−0.005, 0.200) | mBB |
|
|
|
|
279.9/350 | 303.34 |
| (−0.005, −0.003) | CPL |
|
|
|
|
192.1/350 | 215.55 |
| (−0.003, −0.001) | mBB |
|
|
|
|
208.5/350 | 231.98 |
| (−0.001, 0.001) | CPL |
|
|
|
|
221.1/350 | 244.58 |
| (0.001, 0.005) | BB |
|
|
|
|
206.2/350 | 229.64 |
| (0.005, 0.010) | BB |
|
|
|
|
177.1/350 | 200.60 |
| (0.010, 0.020) | CPL |
|
|
|
|
218.4/350 | 241.91 |
| (0.020, 0.040) | BB |
|
|
|
|
194.2/350 | 217.66 |
| (0.040, 0.080) | CPL |
|
|
|
|
257.4/350 | 280.83 |
| (0.080, 0.120) | BB |
|
|
|
|
195.2/350 | 218.67 |
| (0.120, 0.200) | PL |
|
Unconstrained | ||||
| Time Intervals | CPL Parameters | BB Parameters | |||||
|---|---|---|---|---|---|---|---|
| (t1, t2) (s) | Γph | Ep (keV) | pgstat/dof | BIC | kT (keV) | pgstat/dof | BIC |
| (−0.005, 0.005) |
|
|
300.2/351 | 317.79 |
|
458.4/352 | 470.10 |
| (0.005, 0.200) |
|
|
279.1/351 | 296.68 |
|
385.3/352 | 397.05 |
| (−0.005, 0.200) |
|
|
292.3/351 | 309.92 |
|
533.5/352 | 545.27 |
| (−0.005, −0.003) |
|
|
196.6/351 | 214.18 |
|
205.5/352 | 217.19 |
| (−0.003, −0.001) |
|
|
217.7/351 | 235.26 |
|
237.5/352 | 249.27 |
| (−0.001, 0.001) |
|
|
222.6/351 | 240.22 |
|
241.2/352 | 252.97 |
| (0.001, 0.005) |
|
|
208.6/351 | 226.25 |
|
212.4/352 | 224.10 |
| (0.005, 0.010) |
|
|
176.4/351 | 194.05 |
|
177.0/352 | 188.73 |
| (0.010, 0.020) |
|
|
220.4/351 | 238.05 |
|
227.9/352 | 239.66 |
| (0.020, 0.040) |
|
|
194.6/351 | 212.19 |
|
198.8/352 | 210.55 |
| (0.040, 0.080) |
|
|
257.9/351 | 275.50 |
|
273.9/352 | 285.62 |
| (0.080, 0.120) |
|
|
196.4/351 | 214.00 |
|
199.0/352 | 210.70 |
| (0.120, 0.200) | Unconstrained | Unconstrained | |||||
Note. The CPL model can be expressed as
. The PL model gives an acceptable fit in the time slice between
and
:
, pgstat/dof = 179.2/352, BIC = 190.96. Flux is derived based on the best model within 10–10,000 keV for each slice. Here the errors correspond to the 1σ credible intervals.
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Based on the Bayesian information criterion (BIC), we determine the best model for each time interval. The best-fit parameters of the CPL, BB, and mBB models for all time slices are listed in Table 1.
The time-integrated spectrum measured between
and
, covering the first spike, can be best fitted by the mBB model with
and
keV, although the CPL model also gives an acceptable fit with photon index
and peak energy
keV. The photon count spectra, modeled
spectra, and corner diagrams for the parameter constraints of the two fits are shown in Figures 6 and 7, respectively. For the weak tail in the time range from
to
, the CPL model provides the best fit with a relatively smaller peak energy, and the mBB model gives the second-best fit with a lower temperature. The total time-integrated spectrum measured between
and
can be described best by the mBB model with
and
keV, and the CPL model also gives an acceptable fit with photon index
and peak energy
keV. The BB model is significantly disfavored in the time-integrated spectra according to the BIC.
Figure 6. Spectral fitting of the mBB model for the time interval from
to
. Left: observed photon count spectra and best-fit model. Middle: deconvolved photon spectrum. Right: corner diagram for the parameters of the mBB model. Histograms show the 1D probability distributions for the parameters. Contours illustrate the likelihood 2D map. Red plus signs mark the best-fitting values. All error bars in these panels represent the 1σ credible intervals.
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Standard image High-resolution imageFigure 7. Same as Figure 6 but fitted by the CPL model.
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Standard image High-resolution imageTo study the spectral evolution, we perform the time-dependent spectral analysis for each of the 10 slices mentioned above. The spectrum measured between
and
characterizing the hardest part of the burst can be fitted excellently by the CPL model with photon index
and peak energy
keV. The mBB model gives a secondary fit with
and
keV. The best-fit models of the time-dependent spectra are generally the BB or CPL model, except for the second spectrum (mBB) and the last spectrum, which can be fitted by the PL model.
Following the first time-dependent spectrum, strong spectral evolution is observed until
, where the spectra are smeared into the background. Figure 8 shows the evolution of the parameters of the CPL, BB, and mBB models. For comparison, the light curve obtained by summing GBM detectors n1 and n3 is overplotted in several panels. It is clear that the behaviors of Ep and the temperature of this burst show an intensity tracking pattern (Golenetskii et al. 1983), even though there is a delay of ∼2 ms between the peaks of the flux and the spectral evolution. During the first spike, the rapid evolution of the peak energy and temperature imply that the emission source underwent an abrupt variation. Subsequent decay in the weak tail stage may indicate the cooling of the emission region. Such spectral evolution is consistent with a rapidly expanding then gradually cooling fireball-like emission source.
Figure 8. Evolution of spectral parameters. The horizontal errors indicate the lengths of the time slices. The vertical errors correspond to the 1σ uncertainties. For comparison, the light curve obtained by summing GBM detectors n1 and n3 is shown with a blue line in several panels. The spectral parameters of the final time interval fitted by these three models are excluded due to unconstrained fitting results.
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Standard image High-resolution image2.4. Burst Energy
Based on the spectral analyses, the average flux is derived from the best model within 10–10,000 keV for each slice, as shown in Table 1. The total fluence in the time range from
to
is
. The peak flux of
is approximately proportional to the average flux
with a scale factor
, where
is the 0.4 ms peak count rate. Assuming a distance of 3.5 Mpc, the corresponding isotropic energy and peak luminosity are estimated as
erg and
erg s−1, respectively. The above values, along with some important temporal and spectral observational properties, are summarized in Table 2.
Table 2. Observational Properties of GRB 200415A
| Observed Properties | GRB 200415A |
|---|---|
| Abrupt rise time | ∼2 ms |
| Steep decay time | ∼8 ms |
| T90 (sharp peak only) |
ms |
| Total duration | ∼200 ms |
| Γph at peak |
|
| Ep at peak |
keV |
| Time-integrated Γph |
|
| Time-integrated Ep |
keV |
| Total fluence |
erg cm−2 |
| Peak flux |
|
| Possible host galaxy | Sculptor galaxy (NGC 253) |
| Distance | 3.5 Mpc |
| Isotropic energy Eγ,iso |
erg |
| Peak luminosity Lγ,p,iso |
erg s−1 |
Note. The total fluence and peak flux are calculated in the 10–10,000 keV energy band. Here the time-integrated spectral parameters are measured over the total duration. All errors correspond to the 1σ credible intervals.
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2.5. Spectral Hardness
Short GRBs have more photons at higher energy bands (Dezalay et al. 1991). This can be quantitatively represented by the ratio of observed counts in 50–300 keV (H) to 10–50 keV (S). We compute the spectral hardness (H/S) for the observed spike and tail individually. The spike is considered from
to
, and the subsequent tail is considered from
to
. The results are plotted in Figure 9 with a sample of short (blue circles) and long (red circles) GRBs obtained from Goldstein et al. (2017). Both the spike and the weak tail are slightly harder than most short GRBs with H/S ∼ 4.45 and 2.3, respectively.
Figure 9. The T90–HR diagram. The sample of short (blue circles) and long (red circles) GRBs is obtained from Goldstein et al. (2017). First spike (star) of GRB 200415A: HR = 4.45; soft emission (square) of GRB 200415A: HR = 2.3. Here HR = H/S = (50–300 keV)/(10–50 keV). The first spike is considered from
to
, and soft emission is considered from
to
.
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Standard image High-resolution image2.6. Fermi-LAT Detection
We extracted the Fermi-LAT data within a temporal window extending 1000 s after T0. Then we performed an unbinned likelihood analysis. The data were filtered by selecting photons with energies in the range 100 MeV–300 GeV and within a region of interest (ROI) of 12° radius centered on the burst position. A further selection of zenith angle (100°) was applied to reduce the contamination of photons coming from the Earth limb. We adopt the P8R3_TRANSIENT020E_V2 response, which is suitable for faint detection. The probabilities of the photons being associated with the source are calculated using the gtsrcprob tool. The highest-energy photon is a 1.72 GeV event, which is observed 284 s after the GBM trigger. All LAT photon events are plotted in Figure 3, and the most significant five LAT photon events are listed in Table 3. For the time-integrated duration of 0–1000 s, the energy and photon flux in the 0.1–10 GeV energy range are
erg s−1 cm−2 and
photons s−1 cm−2, respectively. The spectral index is −1.47 ± 0.43 with a test statistic of detection of 26.
Table 3. LAT-HE Observation in 0–1000 s
| Time | Energy | Probability |
|---|---|---|
| (s) | (GeV) | (%) |
| 19.18 | 0.48 | 99 |
| 180.22 | 1.32 | 99 |
| 276.88 | 0.53 | 87 |
| 284.06 | 1.72 | ∼100 |
| 471.16 | 0.14 | 90 |
Note. The time of arrival of the photons since the GBM trigger time, the energy, and the probability of association >80% with the source are listed.
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3. Physical Origin: A Typical Short GRB or an SGR GF?
In this section, we discuss various observational evidence and physical conditions that can support GRB 200415A as either a typical short GRB or a GF from a magnetar.
3.1. Placement of the Event
Assuming the association with the Sculptor galaxy is real, we can directly check if GRB 200415A exhibits differently when compared with other GRBs. To do so, we place GRB 200415A in the Ep–Eγ,iso diagram (aka the Amati relation), in which long and short GRBs typically follow different tracks. In Figure 10, we overplot the Amati relation using the GRBs with known redshift (Amati et al. 2002; Zhang et al. 2009). Short GRBs follow the track of logEp,z = a + blogEγ,iso, with the best-fitting parameters being a = −12.82 and b = 0.31, where Ep,z = Ep(1+z), while GRB 200415A, with different redshifts, follows the track shown with the red dashed line. Assuming a distance of 3.5 Mpc, it is clear that GRB 200415A significantly deviates from such a correlation. To be on the short GRB track, GRB 200415A would have to be much further, with
(d ≳ 136 Mpc). Moreover, compared with the off-axis GRB 170817A, which is a nearby event at ∼40 Mpc, GRB 200415A obviously possesses a lower energy and a much higher Ep. On the other hand, by plugging in the properties of the giant outburst from SGR 1806–20, we find that GRB 200415A is very close to its location, which points toward the GF origin.
Figure 10. The Ep and Eγ,iso correlation diagram. The upper and lower black solid lines show the best-fit correlations for the short and long GRB population, respectively. The GRB 200415A with different redshifts follows the track shown with the red dashed line. The SGR 1806–20 GF, GRB 170817A, and two GF candidates (GRB 051103 and GRB 070201) are also plotted here.
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Standard image High-resolution image3.2. Can We Observe It as GRB 200415A if There Is a Compact Star Merger Event at d = 3.5 Mpc?
It is natural to ask a question: if a compact star merger event, as an origin of typical short GRBs, happens at d = 3.5 Mpc, what would be the observational consequence, and how similar is it compared with GRB 200415A? Straightforwardly, considering a typical short GRB with
erg (Zhang et al. 2009; Gruber et al. 2014), the corresponding fluence at d = 3.5 Mpc is
erg cm−2, which is at least 3 orders of magnitude higher than the observed one in GRB 200415A. This suggests that GRB 200415A has to be an off-axis GRB so that the observed fluence can be significantly reduced due to the beaming effect if it is indeed from a compact star merger.
However, is an off-axis merger-type short GRB consistent with the observations of GRB 200415A? The isotropic equivalent energy of GRB 200415A is ∼1046 erg, the Ep is ∼1 MeV, and its sharp peak duration is ∼6 ms. If it is a typical short burst seen off-axis, assuming the top-hat model, the relationship between duration (or peak energy) and the Doppler factor is approximately (Granot et al. 2002; Abbott et al. 2017)

where Γ is the Lorentz factor of the jet, D is the Doppler factor, and
and
are the jet opening angle and viewing angle, respectively. Note that the ratio of duration applies to the case of a single pulse (Zhang et al. 2009) or one central engine activity, and this burst is the case. For multipulse bursts, if the duration of one pulse is much larger than the duration of the central engine activity, this ratio also approximately applies. The isotropic equivalent energy scales as ∝a−2 for
and ∝a−3 for
(Ioka & Nakamura 2018). Assuming that the on-axis isotropic energy is the typical value of
erg for short bursts, we have
for
or
for
. So, the on-axis duration and peak energy would be
or
ms and
or
MeV. These values are obviously atypical and have never been observed in existing short GRB samples.
Another possibility is that GRB 200415A is off-axis from a structured jet that includes a uniformly bright core surrounded by a PL or Gaussian decaying wing (Rossi et al. 2002; Zhang & Mészáros 2002). In this model, the energy/luminosity, Lorentz factor, and Ep all depend on the angle from the jet axis. The high Ep (∼1 MeV) and unusually low Eγ,iso (∼1046 erg) observed in GRB 200415A require that the energy profile is quite steep while the Ep profile is flat. Such conditions are at odds with most studies of GRB jets, although they cannot be fully ruled out.
A similar case to GRB 200415A is GRB 170817A when considering the nearby distance and the explanation using a structured jet model (e.g., Meng et al. 2018), which was associated with the gravitational-wave event GW170817 that originated from a compact star merger. It is interesting to compare the two events. The isotropic energy of GRB 200415A is similar to that of GRB 170817A (also ∼1046 erg). Therefore, the jet kinetic energies should be analogical for both events if the radiation efficiency is the same. We can further speculate that the progenitors of the two bursts are also similar. The GRB 170817A was followed by a "kilonova" that was observed about half a day after the burst (Coulter et al. 2017) and lasted for tens of days, while to date, no follow-up emission in any bands has been reported for GRB 200415A, which is 1 order of magnitude closer than GRB 170817A. Note that the emission of kilonovae is approximately isotropic, so different viewing angles do not affect the detection of kilonovae. If GRB 200415A was from a structured jet seen off-axis, its afterglow with a long time rise should also have been observed, like GRB 170817A, due to its similar jet energy and nearer distance. Thus, the nondetection of the kilonova and afterglow of GRB 200415A does not favor it as a typical short GRB.
In summary, if the association of the host galaxy is real, it is unlikely that GRB 200415A was generated from a compact star merger event.
3.3. Is GRB 200415A an SGR GF?
For quite some time, GFs from SGRs in nearby galaxies have been proposed to serve a few misclassified short GRBs (Ofek et al. 2006, 2008; Frederiks et al. 2007a; Mazets et al. 2008). The claims are mainly based on the consistency with the energies of GFs and the associations with some nearby galaxies (e.g., M31; Ofek et al. 2008). In fact, the total energy (∼1046 erg) of GRB 200415A and its location near the Sculptor galaxy are in agreement with such a scenario. In this section, we perform additional statistical studies and discuss some theoretical evidence to support the GF origin of GRB 200415A.
To compare with previous GF short GRB candidates and known SGR GF events, we list some detailed properties of the GF short GRBs 200415A, 051103, and 070201, as well as the SGR 1806–20 GF in Table 4. They are all located near (or in) galaxies or massive star clusters with high star formation rates. In terms of isotropic energy and peak luminosity, they are also analogous when we assume the distance of GRB 200415A is 3.5 Mpc. Interestingly, as we show in Figure 10, GRB 200415A at a luminosity distance of 3.5 Mpc seems to belong to the same population as the SGR 1806–20 GF and is closer to it than the GF short GRBs 051103 and 070201.
Table 4. Comparison among GRB 200415A, the SGR 1806–20 GF, GRB 051103, and GRB 070201
| Properties | GRB 200415A | SGR 1806–20 GF | GRB 051103 | GRB 070201 |
|---|---|---|---|---|
| Location | NGC 253 | Massive star cluster | M81 | M31 |
| Distance | 3.5 Mpc | 8.7 kpc | 3.6 Mpc | 0.78 Mpc |
| Initial Pulse | ||||
| Steep rise, ms | ∼2 | ∼1 | ≤6 | ∼20 |
| Decay, ms | ∼8 | ∼200 | ∼40 | ∼160 |
| Rapid spectral evolution | ✓ | ✓ | ✓ | ✓ |
| CPL photon index Γph |
|
|
|
|
| CPL peak energy, keV |
|
|
|
|
| BB temperature, keV |
|
175 ± 25, 116 | ⋯ | ⋯ |
| Peak flux, erg cm−2 s−1 |
|
∼5.0,
|
(2.8 ± 0.3) × 10−3 |
|
| Peak luminosity, erg s−1 |
|
|
(4.34 ± 0.46) × 1048 | 1.2 × 1047 |
| Tail | ||||
| Tail duration | ∼150 ms | ∼380 s | ∼130 ms | ∼100 ms |
| Period, s | ⋯ | 7.56 | ⋯ | ⋯ |
| QPO | ⋯ | ✓ | ⋯ | ⋯ |
| BB temperature, keV |
|
∼30 | ⋯ | ⋯ |
| CPL photon index Γph |
|
⋯ |
|
∼(−1) |
| CPL peak energy, keV |
|
⋯ | 530 ± 80 | ∼125 |
| Fluence, erg cm−2 |
|
8 × 10−3 | (2 ± 0.3) × 10−6 | ∼10−6 |
| Total fluence, erg cm−2 |
|
|
(4.4 ± 0.5) × 10−5 |
|
| Total energy, erg |
|
|
(6.82 ± 0.78) × 1046 |
|
| References | Hurley et al. (2005) | Frederiks et al. (2007b) | Mazets et al. (2008) | |
| Frederiks et al. (2007a) | Ofek et al. (2006) | Ofek et al. (2008) | ||
Note. The spectral properties of GRB 200415A are given by the best models of time-integrated spectra. The distance of ∼8.7 kpc to the location of SGR 1806–20 is suggested by Bibby et al. (2008).
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To further check if these GF short GRBs are a special group in the whole short GRB sample, we overplot them in various distributions of characteristic parameters of short GRBs from the Fermi/GBM burst catalog (Gruber et al. 2014; von Kienlin et al. 2014, 2020; Narayana Bhat et al. 2016). The GF from SGR 1806–20 is also marked, where applicable. As shown in Figure 11, the four events are clustered together in the distributions, with smaller
, significantly larger fluence, relatively typical photon index, and slightly higher Ep in the whole short GRB sample. In addition, the four events are also clustered in the Ep–Eiso diagram (Figure 10). All of the above statistical similarities suggest that GRB 200415A should originate from an SGR GF.
Figure 11. Probability distributions of the parameters of short GRBs. This short GRB sample is from the Fermi/GBM burst catalog. Here GRB 200415A, the GF from SGR 1806–20, GRB 051103, and GRB 070201 are placed in parameter space. The top left panel utilizes the total durations for GRB 200415A (150 ms), GRB 051103 (170 ms), and GRB 070201 (280 ms) but the duration of the initial pulse for the SGR 1806–20 GF (200 ms).
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Standard image High-resolution imageTheoretically speaking, generating a short GRB–like event is plausible in the context of the GF model. Large-scale shearing and reconnection of an external magnetic field stronger than ∼1014 G (Duncan & Thompson 1992), which may be induced by internal instabilities, launch an expanding pair fireball (Thompson & Duncan 1995). The internal stored magnetic energy is released rapidly during the crossing time of the Alfvén wave in the neutron star interior. The timescale that is consistent with the duration of the initial spike is
with
, where
is the Alfvén velocity with a poloidal magnetic field
and density
(Feroci et al. 2001). In another case, where the instabilities are driven by an external twisted magnetic field, the large-scale magnetic reconnection event will last
s (Parfrey et al. 2013). Actually, the "tail emission" of GRB 200415A is hard (see Table 4) and still presents a strong spectral evolution of hard to soft (see Figure 8), like the decaying stages of the initial pulses of other GFs. As the previous observations suggested, the insignificant quasi-thermal spectral evolution was predicted in the soft tail of the GF (Thompson & Duncan 1995). It implies that the main spike and weak emission of GRB 200415A may be combined into the initial pulse of a typical GF. The energy released through the fireball should be
erg, which is carried by an internal dipole field with
G (Thompson & Duncan 2001).
In the context of the GF model, the emissions could be quasi-thermal, as the mBB model fits the spectra of GRB 200415A well. The initial bright pulse is emitted by a sharply expanding pair fireball (Thompson & Duncan 1995). The radius of the neutron star gives a lower limit to the size of the initial fireball (
km), which emits the maximum luminosity (
erg s−1). Then, the minimum time variability of 1.9 ms provides an upper limit to the size of the emission region (
km) with an average luminosity of ∼1047 erg s−1. Assuming BB emission, we can derive the temperature range from
to
of the expanding fireball, which overlaps into an mBB spectrum. We note that such restrictions on temperature are similar to those of our mBB spectral fitting during the first spike (Table 1). On the other hand, for the peak time-dependent spectrum measured from
to
, the BB model can give an acceptable fit with
keV and flux
erg cm−2 s−1. The corresponding radius of the emission source should be
km, which is similar to the radii of the emission regions inferred in previous studies (e.g., Nakar et al. 2005; Ofek et al. 2006, 2008).
Assuming that GRB 200415A is an SGR GF at a distance of 3.5 Mpc, it is the first detection of GeV emission that is coincident with a GF. The first high-energy photon was detected at ∼19 s after the onset of GRB 200415A, whose energy is 480 MeV. The photon number spectrum during 0–1000 s in the 0.1–10 GeV band is
MeV−1 s−1 cm−2 with a spectral index of ∼−1.47. The photon number that can annihilate the photons with an energy of
is
, where
and Γ is the Lorentz factor of the emission region. Such a photon number corresponds to the opacity for the
photons being
(Lithwick & Sari 2001). The emission region optically thin to the
photons requires that its radius should be
cm. The speed of the GeV emission region is unknown. If it is relativistic, taking
, for example, then
cm. This suggests that the delayed GeV emission region is much larger than the GF emission region, implying that there is an additional mechanism that is responsible for such GeV photons after the GF. A natural source is the afterglow-like emission from the outflow launched from the GF. For a relativistic outflow, the synchrotron or synchrotron self-Compton radiation from electrons generated from the forward shock can produce such detectable sub-GeV or GeV afterglow emission (Fan et al. 2005).
The energy of the GF was used to constrain the magnetic field of the magnetar (Hurley et al. 2005). In our scenario, we estimate an upper limit on
using the main flare energy (
erg). The magnetic field, B, within a radius
km, which is above the stellar radius
, is
(Thompson & Duncan 1995). At a radius r, the magnetic field, approximated as a dipole field, is
. Then, we constrain
G.
4. Summary and Implication
Our analyses indicate that a GF from an SGR provides the most natural explanation for the short GRB GRB 200415A through the following facts.
- 1.Good localization close to the Sculptor galaxy at d = 3.5 Mpc.
- 2.Similar energy to known GFs (e.g., from SGR 1806–20).
- 3.A weak tail after the main spike.
- 4.Tiny-lag result consistent with a one-time fireball emission region.
- 5.Quasi-thermal spectra with a significant intensity tracking pattern of spectral evolution.
- 6.Small duration, minimal time variability, energy, radius of emission region, and spectral temperature consistent with the magnetar model of a GF.
- 7.Significant outlier (lower energy and higher Ep) away from the short GRB track in the Ep –Eiso diagram but clustered together with other GF short GRB candidates (GRB 051103 and GRB 070201) and the GF event from SGR 1806–20.
- 8.Inconsistent with other short GRBs and contrived jet conditions if explained by a nearby compact star merger event that happened at d = 3.5 Mpc.
- 9.Statistically similar to other GF short GRB candidates and the observed GF from SGR 1806–20.
Nevertheless, our conclusion is subject to the coincidence of the association between GRB 200415A and the Sculptor galaxy. The chance possibility that they are not associated, unfortunately, cannot be ruled out without a counterpart detected in other wavelengths. Future multiwavelength follow-up observations of this event are thus encouraged to confirm the SGR nature of this event.
The indistinguishableness of the spectral properties between GF short GRB candidates and the whole short GRB sample (Figure 11) suggests that there might be some ultrashort GRBs that are actually GF short GRBs at a large distance (Tanvir et al. 2005). Without host-galaxy measurements, such events are hard to identify, but the ultrashort duration may be a clue. A preliminary search of such ultrashort GRBs with
has been done. Further investigations of these events and follow-up observations of similar ones are essential to firmly establish the GF–short GRB connection.
B.B.Z. acknowledges support by the Fundamental Research Funds for the Central Universities (14380035). This work is supported by the National Key Research and Development Programs of China (2018YFA0404204), the National Natural Science Foundation of China (grant Nos. 11833003, U1838105, and U1831135), and the Program for Innovative Talents, Entrepreneur in Jiangsu, and the Strategic Priority Research Program on Space Science, the Chinese Academy of Sciences, grant No. XDB23040400.


































































































































