1 Introduction

Thermonuclear (Type I) X-ray bursts are sudden surges in X-ray emission from an accreting neutron star in a low-mass X-ray binary (LMXB). They result from the unstable burning of hydrogen and helium on the surface of the neutron star. The sharp increase in X-ray intensity is followed by an exponential decay. The rise occurs in \(\sim \)0.5–5 s and the decline in \(\sim \)10–100 s (Lewin 1977; Lewin et al. 1993; Galloway et al. 2008; Bhattacharyya 2010, 2021).

X-ray bursts have been found to recur on timescales of hours or days. This recurrence need not be at regular intervals. Burst occurring within 45 min of the preceding burst is conventionally labeled as short waiting time (SWT) burst (Boirin et al. 2007; Keek et al. 2010). Recurrence time as short as 3.3 min has been observed in the 11 Hz pulsar, IGR J17480−2446 (Motta et al. 2011; Linares et al. 2011, 2012). Several models have been proposed to explain the occurrence of short recurrence bursts (Fujimoto et al. 1987; Taam et al. 1993; Boirin et al. 2007; Keek et al. 2010). Recently, Keek & Heger (2017) proposed that a fraction of the fuel from the previous outburst is transported by convection to the ignition depth, producing a short recurrence time burst. Beri et al. (2019) found that the recurrence timescales observed match that obtained by Keek & Heger (2017) but the predicted profile of triple X-ray bursts does not match that observed.

Narrow but high-frequency (\(\sim \)300–600 Hz) features either during the rising/decay phase or in both phases have been observed in the power spectrum of many thermonuclear X-ray bursts. These features are termed as burst oscillations and arise from brightness asymmetry modulated by the rotation of the neutron star. Hence, oscillation frequency matches the stellar spin frequency (see, e.g., Strohmayer et al. 1996; Watts 2012; Bhattacharyya 2021).

4U 1636−536 is a neutron star LMXB with a main-sequence companion star, located at a distance of \(\sim \)6 kpc (Galloway et al. 2006). On the basis of the track traced in the color-color diagram (CCD), 4U 1636−536 is classified as an atoll source (Schulz et al. 1989). As the source transitions through CCD from a hard state to a soft state, the accretion rate is believed to increase (Bloser et al. 2000). A prolific X-ray burster, 4U 1636−536 shows all kinds of SWT bursts, namely, doublets, triplets and even quadruplets (Ohashi et al. 1982; Pedersen et al. 1982; Keek et al. 2010; Beri et al. 2019) during the hard state (see, e.g., Beri et al. 2019). This source exhibits burst oscillations at \(\sim \)581 Hz, the spin frequency of the neutron star (see, e.g., Zhang et al. 1997; Strohmayer et al. 1998; Bilous & Watts 2019; Roy et al. 2021). Although burst oscillations are predominant during the soft state, they also occur during the hard state (see, e.g., Galloway et al.et al. 2008; Galloway & Keek 2017). For 4U 1636−536 the shortest recurrence time observed is \(\sim \)5.4 min (see Linares et al. 2009; Beri et al. 2019).

Here in this paper, we report timing and spectral study of 4U 1636−536 using data from AstroSat and NuSTAR observatories. This paper is organized as follows. The observational data and procedure are described in Section 2. Section 3 is focused on the details of spectral and timing analysis. In Section 4, we discuss the results obtained.

2 Observation and data reduction

2.1 NuSTAR

The Nuclear Spectroscopic Telescope Array (NuSTAR; Harrison et al. (2013)) consists of two detectors: focal plane modules A and B, or FPMA and FPMB, operating in the energy range 3–78 keV. The detectors have a time resolution of 10 \(\mu \)s and a dead-time of \(\sim \)2.5 ms (Bachetti et al. 2015). 4U 1636−536 was observed with the NuSTAR on 27 April 2019 (labeled Obs 1 in Table 1). Mondal et al. (2021) have used the same observation for performing a broadband spectroscopy during the persistent emission of the source. We use the NuSTAR data analysis software (NuSTARDAS v1.8.0) distributed with HEASOFT v6.26.1 and the latest calibration files (CALDB v20201101) for data reduction and analysis. The calibrated and screened event files are generated using nupipeline v0.4.6. A circular region of radius 100\(''\) centered at the source position is used to extract the source light curve and spectrum. Background light curve and spectrum are extracted from the same-sized radial region, away from the source. The task nuproducts is used to generate the spectra and response files.

2.2 AstroSat/LAXPC

Large Area X-ray Proportional Counter (LAXPC) unit onboard AstroSat consists of three detectors: LAXPC10, LAXPC20 and LAXPC30, covering the 3–80 keV band with a time resolution of 10 \({\mu }\mathrm{{s}}\) and a dead-time of approximately 43 \({\mu }\mathrm{{s}}\). We reinvistigate two of the AstroSat observations (labeled Obs 2 and Obs 3 in Table 1) using the LAXPC software (laxpcsoftv3.0) (Antia et al. 2017). These observations have also been reported in Roy et al. (2021) and Kashyap et al. (2021). Since LAXPC30 had ceased operation due to gain instability, it is not used for Obs 2 and Obs 3. Besides, we only use data from LAXPC20 for Obs 3 as LAXPC10 had a very low gain during this observation.

Table 1 Observation details of 4U 1636−536.

3 Results

Figure 1
figure 1

MAXI-GSC and Swift-BAT light curves of 4U 1636−536 in 2–20 keV band and 15–50 keV band, respectively, with vertical dash line indicating the observations used in this work. A signal-to-noise ratio of 3 is used as a filter for both the light curves.

3.1 MAXI-GSC and Swift-BAT light curves

The hard X-ray transient monitor, Swift/Burst Alert Telescope (BAT), observes \(\sim \)88% of the sky daily with a detection sensitivity of 5.3 mCrab and a time resolution of 64 s in the energy band 15–50 keV (Krimm et al. 2013). The gas slit camera (GSC: Mihara et al. (2011)) onboard the Monitor of All-sky X-ray Image (MAXI: Matsuoka et al. (2009)) covers \(\sim \)85% of the sky per day with a detection sensitivity of 15 mCrab in the 2–20 keV band (Sugizaki et al. 2011). We use the MAXI and Swift-BAT light curves of 4U 1636−536 to infer its spectral state (Figure 1). Both the light curves of 4U 1636−536 are binned with a binsize of 1 day. A signal-to-noise ratio of 3 is used as a filter. If the source is observed close to the peak of the MAXI light curve in the 2–20 keV band, it suggests a soft spectral state of the source. On the other hand, if the source is observed at times close to the peak of the BAT light curve in the 15–50 keV band, a hard spectral state is indicated. From Figure 1, it is clear that Obs 1 and Obs 3 are in hard state. However, the state of Obs 2 is not obvious.

3.2 Color–color diagram

To know the spectral state of the NuSTAR and AstroSat observations, we plot the color–color diagram (Figure 2) of all the RXTE observations of 4U 1636−536 as given in Altamirano et al. (2008b) and the location of the observations studied in this paper. For the RXTE observations, hard and soft colors are taken as the 9.7–16.0/6.0–9.7 keV and 3.5–6.0/2.0–3.5 keV count rate ratios, respectively. The Obs 1 colors are normalized by the corresponding Crab Nebula color values that are closest in time (Obs ID/Obs Date: 10502001010/09-05-2019) to correct for the gain changes. For Obs 2 and Obs 3, the nearest AstroSat Crab observations (Obs ID/Obs Date: 9000002026/08-04-2018 and 9000002364/13-09-2018) are used for normalization. The definition of hard and soft colors for both NuSTAR and LAXPC is the same as that of RXTE. The counts from both FPMA and FPMB are added to obtain the color values of the NuSTAR observation.

The color–color diagram of atoll sources has an island branch and a banana branch which are, respectively, spectrally harder and softer states (Altamirano et al. 2008a). The length of the curve, \(S_a\) parametrizes the location of the source on the diagram. \(S_a\) is normalized so that it varies from 1 to 2.5, as shown in Figure 2 (see, e.g., Méndez et al. 1999), and indicates the mass accretion rate (Hasinger & van der Klis 1989). We find that all the observations belong to the hard spectral state of the source with \(S_a\sim 1.3\)–1.4.

Figure 2
figure 2

Color–color diagram of 4U 1636−536 with position of the observations studied in this paper against the RXTE observations (adapted from Altamirano et al. (2008b)) shown as cyan dots. The thin solid curve, \(S_a\), parametrizes the position of the source on the diagram.

3.3 Energy-resolved burst profile

We find 15 thermonuclear X-ray bursts (labeled as B1–B15) in the NuSTAR observation (see Figure 3). Their energy-resolved profiles indicate that all bursts are significantly detected up to 20 keV. To illustrate this, we show here the burst profile of one X-ray burst (see Figure 4). We use three narrow energy bands, namely, 3–6 keV, 6–12 keV, 12–20 keV. In some bursts, such as B1, B7, B10 and B15, a dip is found in the 3–6 keV or 6–12 keV or both bands during the burst peak.

In the two AstroSat observations, 16 bursts are found altogether, 14 of which are in Obs 3 alone (see Figure 3). Bursts B22, B28 and B31 show a dip during the peak. These bursts (B16–B31) are significantly detected up to 25 keV (Kashyap et al. 2021; Roy et al. 2021).

We measure the rise time (\(t_{\mathrm{rise}}\)) for all the bursts. Rise time is defined to be the time it takes the burst flux to reach 90% of the peak flux from a time (start time) when the flux was 25% of the peak value (Galloway et al. 2008). The rise time is found to lie between 2.5 and 8.0 s.

Figure 3
figure 3

Top panel: 3–78 keV 1 s-binned NuSTAR-FPMA light curve of Obs 1 containing 15 bursts. Middle panel: 3–80 keV 1 s-binned AstroSat-LAXPC20 light curve of Obs 2 containing 2 bursts. Bottom panel: 3–80 keV 1 s-binned AstroSat-LAXPC20 light curve of Obs 3 containing 14 bursts. All bursts are indicated by their respective labels.

Figure 4
figure 4

3–78 keV 1 s-binned energy-resolved NuSTAR-FPMA light curve of burst B1. The dotted vertical lines show the five intervals (labeled as R1–R5) used for time-resolved spectroscopy.

3.4 Five doublets and one triplet

Among the 15 X-ray bursts, we find multiple short-recurrence bursts (see Figure 5), namely, two doublets, D1 (bursts B2 and B3) and D2 (bursts B11 and B12) and one triplet T1 (bursts B5, B6 and B7). To estimate the recurrence time or wait time between two X-ray bursts, we take wait time to be the separation between their respective peak times (Boirin et al. 2007). The wait time between B2 and B3 in doublet D1 is 3.8 min, whereas that between B11 and B12 in doublet D2 is 10.4 min. The wait time between B4 and B5 in triplet T1 is 8.2 min, and that between B5 and B6 in the same triplet is 10.9 min. The rise time for the SWT bursts in these events vary from 2.5 to 3.5 s.

We also find three doublets in Obs 2 and Obs 3. The pair of bursts B16 and B17 in Obs 2 is a doublet (D3), the wait time being 23.9 min. In Obs 3, the doublets are: bursts B18 and B19 (D4) with wait time 26.9 min, and bursts B23 and B24 (D5) with wait time 25.4 min. The rise time for the short-recurrence bursts in the two observations lies in the range 3–4 s.

Figure 5
figure 5

Top row: 3–78 keV 1 s-binned light curves created using data from NuSTAR-FPMA showing doublet D1, Triplet T1 and Doublet D2, respectively. Bottom row: 3–80 keV 1 s-binned AstroSat-LAXPC20 light curves showing doublets D3, D4 and D5, respectively.

3.5 Time-averaged spectroscopy

For performing time-averaged spectroscopy, we use 100 s preburst emission as the background. The burst duration is taken up to the point where the count rate drops to 1/e of its peak value. The 3–20 keV burst spectra are fitted in XSPEC version 12.10.1f (Arnaud 1996) with an absorbed blackbody model, i.e., tbabs \(*\) bbodyrad (see Figure 6). The tbabs component accounts for the interstellar extinction. The hydrogen column density parameter, \(N_{\mathrm{H}}\), in tbabs is set to \(0.25\times 10^{22}\) cm\(^{-2}\) (Asai et al. 2000). The component bbodyrad has the parameters: color temperature, \(kT_{\mathrm{bb},\infty }\), and normalization, \(K_{\mathrm{bb},\infty }=(R_{\mathrm{bb},\infty }/d_{10})^2\), where \(R_{\mathrm{bb},\infty }\) is the apparent blackbody radius in km and \(d_{10}\) is the source distance in units of 10 kpc. To account for cross-calibration between FPMA and FPMB, a multiplicative constant component is included in the model. This constant is fixed to 1 for FPMA and allowed to vary for FPMB. The uncertainties correspond to 90% confidence level. The \(\chi _\nu ^2\) of the spectral fit ranges from 0.94 to 1.06. The temperature (\(kT_{\mathrm{bb},\infty }\)) is in the range 1.6–2.0 keV. The radius, \(R_{\mathrm{bb},\infty }\) lies between 2.3 and 6.8 km. The unabsorbed flux in the 3–20 keV band, estimated using the cflux convolution model, varies from 0.19 to \(1.19 \times 10^{-8}\) erg cm\(^{-2}\) s\(^{-1}\). The cross-calibration constant is found to vary in the range 0.95–1.11 except for burst B7 for which the constant is found to be 0.77. The best-fit spectral parameters are shown in Figure 7.

We try adding an additional blackbody component to the model and found a significant improvement in the spectral fits. We also try replacing the second blackbody component with a power-law and in certain cases found a better fit. However, double blackbody model is not well constrained in most cases. Table 2 gives the best-fit values for selected bursts, and the F-test probability values to indicate the significance of the additional component. The given three bursts of which B4 is the brightest, indicate the presence of an additional component.

The idea that the persistent emission can evolve during an X-ray burst was explored in detail by Worpel et al. (2013, 2015). They proposed a dimensionless \(f_a\) parameter to quantify the same. In this scheme, following Roy et al. (2021), we fit the preburst emission of 100 s with the model ‘tbabs \(*\) (bbodyrad \(+\) constant \(*\) nthcomp)’ and then keep the best-fit parameters constant while fitting the burst spectra. The fitting parameters are listed for three bursts in Table 2. We find that the spectral fit does improve with \(\chi _\nu ^2\) ranging from 0.75 to 1.05. The temperatures are in the range 1.5–2.0 keV. The radii range from 1.9 to 6.6 km. The \(f_a\) parameter values lie between 1.5 and 4.1. The unabsorbed flux (3–20 keV) varies from 0.33 to \(1.28 \times 10^{-8}\) erg cm\(^{-2}\) s\(^{-1}\).

Table 2 Spectral fit parameters for time-averaged spectroscopy for selected bursts.

3.6 Time-resolved spectroscopy

Since photospheric radius expansion (see, e.g., Tawara et al. 1984; Galloway et al. 2008) can cause apparent dips in some light curves (Grindlay et al. 1980; Bhattacharyya & Strohmayer 2006; Bult et al. 2019), we perform time-resolved spectroscopy to check for the same in the bursts observed with NuSTAR. For this, we extract the spectra for the five intervals as shown in Figure 4 for the bright bursts (B1–B15 except B3 and B7) observed with NuSTAR. The spectra are grouped using grppha to ensure a minimum of 25 counts per bin. We use the spectrum of 100 s preceding the burst to serve as the background spectrum for all the five intervals. The resulting burst spectra are fitted in XSPEC with the model: tbabs \(*\) bbodyrad along with a multiplicative constant component to account for cross-calibration between FPMA and FPMB.

The peak blackbody temperature is found to be in the range 1.7–2.2 keV. The maximum blackbody radius lies between 5.8 and 7.8 km. The unabsorbed bolometric flux (0.1–100 keV), given by (for each interval): \(F_{\mathrm{bol}}=\sigma T^4(R_{\mathrm{bb}}/d_{10})^2=1.0763\times 10^{-11}T_{\mathrm{bb}}^4K_{\mathrm{bb}}\) erg cm\(^2\) s\(^{-1}\) (Galloway et al. 2006). The peak \(F_{\mathrm{bol}}\) lies in the range 0.8–\(2.1 \times 10^{-8}\) erg cm\(^{-2}\) s\(^{-1}\). We do not infer any photospheric radius expansion in these bursts.

We also use the \(f_a\) method (see Section 3.5) for the bright bursts. The peak temperatures are in the range 1.7–2.2 keV. The maximum radii range from 5.4 to 7.4 km. The peak \(F_{\mathrm{bol}}\) varies from 0.8 to \(2.0 \times 10^{-8}\) erg cm\(^{-2}\) s\(^{-1}\). The \(f_a\) parameter values lie between 0.1 and 8.4.

For the case of AstroSat observations (Obs 2 and Obs 3) time-resolved burst spectroscopy has been reported in Roy et al. (2021) and Kashyap et al. (2021), therefore, we do not perform spectral analysis of the same. For the doublets (D3, D4 and D5) observed with AstroSat, none of the bursts show characteristics of radius expansion in the time-resolved spectroscopy.

The characteristic timescale, \(\tau \), for the bursts is calculated as \(\tau =E_{\mathrm{b}}/F_{\mathrm{pk}}\) where \(E_{\mathrm{b}}\) is the burst fluence and \(F_{\mathrm{pk}}\) is the peak flux during the burst (see, e.g., Galloway et al. 2008). For the bursts in Obs 1, this timescale is estimated to be 11–20 s. The \(\tau \) values for the bursts in D3, D4 and D5 lie in the range 11–15 s.

Figure 6
figure 6

Top panel: Burst spectrum for burst B1 observed with NuSTAR, fitted with tbabs \(*\) bbodyrad model. The \(\chi ^2\) (d.o.f) is 0.96 (150). Bottom panel: Residues between data and model. The red and green colors correspond to FPMA and FPMB, respectively.

Figure 7
figure 7

Spectral parameters of the bursts in Obs 1 with tbabs \(*\) bbodyrad model (energy: 3–20 keV; tbabs: \(n_{\mathrm{H}}=0.25\times 10^{22}\) cm\(^{-2}\)). Unabsorbed flux in 3–20 keV band is given in units of \(10^{-8}\) erg cm\(^{-2}\) s\(^{-1}\). Bursts B3, B7 and B12 are the concluding bursts of doublet D1, triplet T1 and doublet D2, respectively.

3.7 Power spectrum: burst oscillations

We search for <1024 Hz (Nyquist frequency) oscillations in each of the 15 bursts in Obs 1. Events from both the FPM detectors are combined to reduce the effect of dead-time. The events (photon arrival times) in the 3–20 keV energy band are sampled at the Nyquist rate of 2048 Hz. We perform fast Fourier transform (FFT) of successive 1 s segment (shifting the 1 s time window) of the input barycentre-corrected merged event file corresponding to the burst time interval. The FFT scan is repeated with the start time offset by 0.5 s. A clear signal around 581 Hz is seen during two of the bursts in the Leahy-normalized (Leahy et al. 1983) power spectrum. In such bursts, we examine the region that show oscillation and attempt to maximize the measured power, \(P_m\), by varying the start and end points of the segment in steps of 0.1 s and trying segment lengths of 1 s and 2 s within a time window of 3 s (\(20+10=30\) overlapping segments). Thus, the number of trials is 30. In both cases, oscillations are found in the decay phase at a confidence level of above \(3\sigma \). The results are summarized in Table 3. The dynamic power spectra are shown in Figure 8.

A similar search is performed for the bursts in Obs 3 as well using events from LXP20 alone. No clear evidence of burst oscillation is found in them. Previously, Roy et al. (2021) reported burst oscillations in B16 in Obs 2 during the rising phase. We reiterate that result in Table 3.

To establish the significance of detection of oscillations in burst B2, we carry out Monte Carlo simulations. We generate Poisson-distributed events for the same window size (i.e., 2 s). A dead-time of 2.5 ms is used and implemented by removing any event that occurs within 2.5 ms after a previous event. The initial number of events is chosen such that after the deadtime correction, the number of remaining events is equal to the actual counts within Poisson fluctuations. Two such sequences of events are created to represent the two independent NuSTAR detectors, and then merged. We generate 50000 trial windows and calculate corresponding FFTs. The chance probability of occurrence of the observed signal is obtained by counting the number of trial windows with Leahy powers at or above the observed Leahy power. We find three windows with at least one signal above this power in the frequency range 579–582 Hz. Thus, we estimate the chance probability to be \(6\times 10^{-5}\) which implies a significance of 4.0\(\sigma \) since \(X=\sqrt{2}\) erf\(^{-1}(1-x)\) where x is the chance probability. For B10, we use a window size of 1 s and obtain a significance of 4.1\(\sigma \) from the chance probability of \(4\times 10^{-5}\).

Lomb–Scargle periodogram (Lomb 1976; Scargle 1982; Horne & Baliunas 1986), as implemented in the PERIOD program distributed with the Starlink Software Collection (Currie et al. 2014) is also used to estimate the spin frequency. We obtain consistent values of spin period using this method and the uncertainty estimated corresponds to the minimum error on the period, as given in Table 3.

In Figure 9, we show the folded pulse profile for burst B2. The oscillations are modeled with the function: \(A+B\sin 2\pi \nu t\). The rms fractional amplitude is given by \(B/(A\sqrt{2})\). The best frequency found with pulse profile modeling (Chakraborty & Bhattacharyya 2014; Roy et al. 2021) is 582.00 Hz and 578.81 Hz for bursts B2 and B10, respectively. Due to inadequate statistics, we do not study the energy dependence of the burst oscillations found in the NuSTAR observation.

Table 3 Burst oscillation details. The given frequency values for B2 and B10 are obtained from the PERIOD program. Refer Section 3.7 for details.
Figure 8
figure 8

Left panel: Dynamic power spectra in the 3–20 keV band for 10 s window during burst B2. Each segment is 2 s long and overlaps the previous one by 1 s. (b) Right panel: Dynamic power spectra in the 3–20 keV band for 5 s window during burst B10. Each segment is 1 s long and overlaps the previous one by 0.5 s. Burst oscillation is seen at 582 Hz and 579 Hz in B2 and B10, respectively.

4 Discussion and conclusion

In this work, we present the spectro-timing study of 4U 1636−536 observed with NuSTAR and AstroSat. As seen from the BAT and MAXI light curves and from the color–color diagram, the source is in a hard spectral state. This is consistent with that observed by Mondal et al. (2021) (for Obs 1) and Kashyap et al. (2021) (for Obs 2 and Obs 3) who have used the same observation and found that their spectroscopy results favor the hard/low state of the source.

Figure 9
figure 9

Burst profile as a function of phase, plotted in the 3–20 keV band for a 2 s time window during the decay phase of burst B10. The smooth curve shows the sinusoidal fit with frequency 578.81 Hz. The \(\chi _{\nu }^2\) (d.o.f.) of the fit is 0.71 (17). The rms fractional amplitude is \(19.7\pm 2.9\)%. The second cycle is shown for clarity.

The NuSTAR light curve (Obs 1) shows the presence of 15 X-ray bursts including two doublets and one triplet while the AstroSat observations (Obs 2 and Obs 3) show three doublets. So far, six triplets have been reported from this source, including one observed with AstroSat (Beri et al. 2019). These authors reported a shortest recurrence time of 5.5 min in that triplet, very close to the 5.4 min recurrence time reported in a doublet by Linares et al. (2009). The wait times between two bursts in a triplet seen in this study conform to the wait times in triplets reported in Beri et al. (2019). The 3.8 min recurrence time in a doublet found in our work is the shortest recurrence time reported for this source. To the best of our knowledge, until now only three sources are known to have such a short recurrence time of 3–4 min. Keek et al. (2010) reported a recurrence time of 3.8 min in 4U 1705−44. Degenaar et al. (2012) discovered a recurrence time of 3.8 min in SAX J1747.0−2853. IGR J17480−2446 showed a recurrence time of 3.3 min (Motta et al. 2011; Linares et al. 2012); however, it is considered to be an exceptional source. In the full MINBAR sample of SWT bursts, half of the events arise from a single source, IGR J17480−2446. SWT bursts generally occur at all mass accretion rates, but for some individual sources such as IGR J17480−2446, they may be restricted to a smaller interval of accretion rate (see Section 6.4 of Galloway et al. 2020, for details).

Keek & Heger (2017) suggest that bursts igniting in a relatively hot neutron star envelope leave a substantial fraction of unburnt fuel at shallow depths. This fuel is brought down to the ignition depth by opacity-driven convective mixing on the observed timescale of minutes and produce a subsequent burst. Although recurrence timescales observed during these SWT X-ray bursts could be explained by the model proposed by Keek & Heger (2017) we do not find any bumps before a follow-up burst in T1 as predicted by these authors. Such differences were also noted by Beri et al. (2019). Boirin et al. (2007) noted that all sources that show SWT bursts have a fast spinning neutron star (\(\nu _{\mathrm{spin}}>500\) Hz) suggesting the requirement of rapid rotation for multiple-burst events and the importance of rotation-induced mixing processes. They also proposed a waiting point in the chain of nuclear reactions such that a decay reaction with half life similar to the short recurrence times temporarily halts the nuclear burning. However, Keek & Heger (2017) observed that a considerable spread in the recurrence times (3–45 min), even for SWT bursts from a particular source, disfavored this scenario. One plausible explanation to the existence of the short recurrence bursts could be based on the spreading layer model as suggested in Grebenev & Chelovekov (2017). However, these authors also note that further refinement in the model is needed for the complete understanding of the existence of SWT X-ray bursts.

Our time-averaged spectroscopy shows that absorbed blackbody model provides a good fit for the burst spectra yielding an emitting radius (\(R_{\mathrm{bb},\infty }\)) of \(\sim \)2.3–6.8 km and blackbody temperature (\(T_{\mathrm{bb},\infty }\)) of \(\sim \)1.6–2.0 keV. Similar studies have been carried out by Degenaar et al. (2016) for 4U 1636−536 SAX J1747.0−2853 and their radius and temperature values are in good agreement with ours. However, there is scope for an additional model component such as powerlaw, perhaps due to varying temperatures during bursts or plausible deviation from ideal blackbody behavior. We also analyze using the \(f_a\) method and find that the spectral fit improves. The \(f_a\) values suggest a substantial contribution from the persistent emission. Our time-resolved spectroscopy do not show any evidence of photospheric radius expansion (see also Kashyap et al. 2021; Roy et al. 2021). However, we would like to add a caveat that the possibility of radius expansion cannot be ruled out due to limited statistics. In most of the bursts, the \(f_a\) values are \(\gtrsim \)5 close to the burst peak suggesting enhanced persistent flux at this stage.

The actual emitting radius (\(R_{\mathrm{bb}}\)) and blackbody temperature (\(kT_{\mathrm{bb}}\)) are given by \(R_{\mathrm{bb}}=R_{\mathrm{bb},\infty }\cdot f^2/(1+z)\) and \(T_{\mathrm{bb}}=T_{\mathrm{bb},\infty }\cdot (1+z)/f\), respectively, (Sztajno et al. 1985), where \((1+z)=(1-2GM/Rc^2)^{-1/2}\) is the surface gravitational redshift, f is the color factor which accounts for the scattering of burst photons by the electrons and the frequency-dependent opacity of the neutron star atmosphere, and R/M is the neutron star radius-to-mass ratio. We do not apply the correction factors for the measurement of a real value of neutron star radius.

Bursts which are helium rich are expected to have shorter characteristic timescales (<10), fast rise times (\(\lesssim \)2) and peak flux exceeding the Eddington limit (see, e.g., Galloway et al. 2008). The characteristic timescales of 11–20 s, long rise times of 2.5–8 s and the lack of any radius expansion signature indicate that the bursts are hydrogen-rich bursts. This is consistent with the observation that the sources exhibiting short-recurrence bursts are all hydrogen-accretors. In our best knowledge, till date, no SWT burst has shown radius expansion (see, e.g., Galloway et al. 2008; Keek et al. 2010; Keek & Heger 2017).

It is generally believed that the highest burst rates on average are found for the sources with burst oscillations. However, it may be a selection effect as not all bursts exhibit burst oscillations, and therefore, a high burst rate means observation of many bursts and hence burst oscillation detections. Oscillations seen in this study are consistent with the range 578–582 Hz given in Bilous & Watts (2019) although most of the burst oscillations from this source are seen at 580–581 Hz. We detect a strong signal at a frequency (582 Hz) similar to that observed during one of the superbursts in 4U 1636\(-\)536, albeit with a much higher fractional amplitude (see Table 3) compared to \(\sim \)0.01 observed in the superburst. In the case of accretion-powered pulsations in intermittent AMXPs, the pulsation frequency is \(\sim \)0.5–1 Hz above the burst oscillation asymptotic frequency with fractional amplitude of up to a few percent (see recent review by Bhattacharyya 2021). Therefore, 582 Hz pulsations observed during the 2001 superburst are believed to be accretion-powered (see Strohmayer & Markwardt 2002, for details). Given a higher value of fractional amplitude of the oscillations detected in our study and considering an uncertainty up to 0.4 Hz (Muno et al. 2002), the higher value of burst oscillation frequency cannot be ruled out.

During the decay phase of two bursts in Obs 1, the oscillations are found with \({\sim }3\sigma \) confidence. Decay phase oscillations are generally described through the cooling wakes (Cumming & Bildsten 2000) or the surface oscillation modes (Heyl 2004). Cooling wake is the temperature asymmetry due to cooling of the neutron star’s surface, spreading across the star in a finite time after an X-ray burst. High amplitude decay oscillations (>10%) are usually explained using this model (Mahmoodifar & Strohmayer 2016). Surface mode is the asymmetry in the neutron star ocean or atmosphere excited during an X-ray burst. The oscillation amplitudes are typically \(\sim \)10%. It may be plausible that both the models contribute to the evolution of burst oscillations (Roy et al. 2021).

5 Summary

  • In 207 ks of observation of 4U 1636−536 made during its hard spectral state with NuSTAR and AstroSat, we find five doublets and one triplet. The recurrence time of 3.8 min in one of the doublets is the shortest recurrence time reported for this source.

  • Our time-averaged spectroscopy shows that an absorbed blackbody model provides a good fit. The temperatures and radii measured during each of the bursts in Obs 1 are consistent with measurements reported using similar approach.

  • From time-resolved spectroscopy, no radius expansion could be inferred in any of the burst. The characteristic timescales and the rise times suggest that the composition of the bursts is primarily hydrogen.

  • Burst oscillations are found in the decay phase of two of the bursts observed with the NuSTAR. One of these bursts is part of a doublet. The oscillations are found near the known spin frequency (581 Hz) of the source. A 582 Hz burst oscillation is seen in one of the bursts.