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Explaining recently studied intermediate luminosity optical transients (ILOTs) with jet powering

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© 2021 National Astronomical Observatories, CAS and IOP Publishing Ltd.
, , Citation Noam Soker and Noa Kaplan 2021 Res. Astron. Astrophys. 21 090 DOI 10.1088/1674-4527/21/4/90

1674-4527/21/4/090

Abstract

We apply the jet-powered ILOT scenario to two recently studied intermediate luminosity optical transients (ILOTs), and find the relevant shell mass and jets' energy that might account for the outbursts of these ILOTs. In the jet-powered ILOT scenario, an accretion disk around one of the stars of a binary system launches jets. The interaction of the jets with a previously ejected slow shell converts kinetic energy to thermal energy, part of which is radiated away. We apply two models of the jet-powered ILOT scenario. In the spherical shell model, the jets accelerate a spherical shell, while in the cocoon toy model the jets penetrate into the shell and inflate hot bubbles, the cocoons. We find consistent results. For the ILOT (ILRT: intermediate luminosity red transient) SNhunt120 we find the shell mass and jets' energy to be Ms ≃ 0.5 − 1 M and E2j ≃ 5 × 1047 erg, respectively. The jets' half opening angle is αj ≃ 30° − 60°. For the second peak of the ILOT (luminous red nova) AT 2014ej we find these quantities to be Ms ≃ 1 − 2 M and E2j ≃ 1.5 × 1048 erg, with αj ≃ 20° − 30°. The models cannot tell whether these ILOTs were powered by a stellar merger that leaves one star, or by mass transfer where both stars survived. In both cases the masses of the shells and energies of the jets suggest that the binary progenitor system was massive, with a combined mass of M1 + M2 ≳ 10 M.

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1. Introduction

The transient events with peak luminosities above those of classical novae and below those of typical supernovae might differ from each other by one or more properties, like the number of peaks in the light curve, total power, progenitor masses and powering mechanism (e.g., Mould et al. 1990; Bond et al. 2003; Rau et al. 2007; Ofek et al. 2008; Mason et al. 2010; Kasliwal 2011; Tylenda et al. 2013; Kasliwal et al. 2012; Blagorodnova et al. 2017; Kaminski et al. 2018; Pastorello et al. 2018; Boian & Groh 2019; Cai et al. 2019; Jencson et al. 2019; Kashi et al. 2019; Pastorello et al. 2019; Howitt et al. 2020; Jones 2020; Klencki et al. 2021). They form a heterogeneous group of 'gap transients'.

We study those transients that are powered by an accretion process that releases gravitational energy. The accretion process might be a mass transfer from one star to another, or an extreme case of stellar merger, where either one star destroys another, or one star (or a planet; Retter & Marom 2003; Bear et al. 2011; Kashi & Soker 2017; Kashi et al. 2019) enters the envelope of a larger star to start a common envelope evolution (e.g., Tylenda et al. 2011; Ivanova et al. 2013; Nandez et al. 2014; Kamiński et al. 2015; MacLeod et al. 2017; Segev et al. 2019; Schrøder et al. 2020; MacLeod & Loeb 2020; Soker 2020b). We refer to all these systems as intermediate luminosity optical transients (ILOTs).

In cases where both stars survive and stay detached, the binary system can experience more than one outburst, and can have several separated peaks in its light curve. This is the case for example in grazing envelope evolution (Soker 2016). The same holds when the binary system forms a temporary common envelope. Namely, the more compact companion enters the envelope and then gets out. An example of the later process is the repeating common envelope jets supernova (CEJSN) impostor scenario (Gilkis et al. 2019). In a CEJSN impostor event, a neutron star (or a black hole) gets into the envelope of a giant massive star, accretes mass and launches jets that power an ILOT event (that might be classified as a supernova impostor), and then gets out of the envelope (Soker & Gilkis 2018; Gilkis et al. 2019; Yalinewich & Matzner 2019).

Mass outflow accompanies the bright outbursts of ILOTs. Many studies attribute the powering of ILOTs, both the kinetic energy of the outflow and the radiation, to stellar binary interaction processes (e.g., Soker & Tylenda 2003; Tylenda & Soker 2006; Kashi et al. 2010; Mcley & Soker 2014; Pejcha et al. 2016a, b; Soker 2016; MacLeod et al. 2018; Michaelis et al. 2018; Pastorello et al. 2019). As a fast outflow hits a previously ejected slower outflow, the collision channels kinetic energy to radiation. There are two types of binary scenarios in that respect, those in which the main collision takes place in and near the equatorial plane (e.g., Pejcha et al. 2016a, b; Metzger & Pejcha 2017; Hubov´a & Pejcha 2019), and those that attribute the main collision to fast polar outflow, i.e., jets. In most of the cases with high mass accretion rates that power ILOTs, the highaccretion- powered ILOT (HAPI) model (Kashi & Soker 2016; Soker & Kashi 2016), the accretion of mass is likely to be through an accretion disk. This accretion disk is very likely to launch two opposite jets. If the jets collide with a previously ejected slow shell, an efficient conversion of kinetic energy to radiation might take place. This is the jet-powered ILOT scenario.

In a recent study, Soker (2020a) argues that the jets-shell interaction of the jet-powered ILOT scenario is more efficient in converting kinetic energy to radiation than collision of equatorial ejecta. He further applies a simple jet-shell interaction model to three ILOTs, the Great Eruption of Eta Carinae (Davidson & Humphreys 1997), which is a luminous blue variable (LBV), to V838 Mon (Munari et al. 2002) that is a stellar merger (also termed luminous red nova; LRN), and to the ILOT V4332 Sgr that has a bipolar structure (Kaminski et al. 2018). We apply this simple spherical shell model to two other ILOTs (Sects. 2.2 and 2.3).

As said, in this study we use the term ILOT (Berger et al. 2009; Kashi & Soker 2016; Muthukrishna et al. 2019). There are different classifications of the heterogeneous class of transients, like the one by Kashi & Soker (2016) 1 , the one by Pastorello et al. (2019) and Pastorello & Fraser (2019), and also by Jencson et al. (2019). Some refer to transients from stellar mergers by LRNe and to outbursts that involve a massive giant star by intermediate luminosity red transients (ILRTs). We simply refer to all transients that are powered by gravitational energy of mass transfer (or merger), the HAPI model, as ILOTs. This saves us the need to classify a specific event by its unknown progenitors. We are mainly interested in the roles of jets, which might also play a role in all types of ILOTs (although not in all ILOTs).

Two recent studies of two ILOTs support two crucial ingredients of the jet-powered ILOT scenario. Blagorodnova et al. (2020) study the ILOT M31-LRN- 2015 that is possibly a merger remnant (some earlier studies related to this ILOT include Williams et al. 2015; Lipunov et al. 2017; MacLeod et al. 2017; Metzger & Pejcha 2017). Blagorodnova et al. (2020) estimate the primary mass to be M1 ≃ 5 M and deduce that during the two years of pre-outburst activity the system lost a mass of about > 0.14 M. Such a pre-outburst formation of a shell (circumbinary matter) is an important ingredient in the jet-powered ILOT scenario.

In other recent papers, Kaminski et al. (2020) and Kaminski et al. (2021) study the ILOT (stellar-merger candidate) Nova 1670 (CK Vulpeculae) in detail. This 350 year old nebula has a bipolar structure (Shara et al. 1985) with an 'S' shape along the long axis (Kaminski et al. 2020, 2021). This is an extremely strong indication of shaping by precessing jets. We take it to imply that the jet-powered ILOT scenario accounts for Nova 1670. The intervals from the first to second peak and from the second to third peak in the triple-peak light curve are almost equal at about 1 year (Shara et al. 1985). We take it to imply multiple jetslaunching episodes, or more likely in this case, variability in jets' launching power as the jets precess.

These two recent studies, and in particular the clear demonstration of an 'S' shape morphology of the ILOT Nova 1670 (Kaminski et al. 2020, 2021), motivate us to apply the jet-powered ILOT scenario to two recently studied ILOTs. We emphasise that our main aim is to find plausible parameters for these two recently studied ILOTs in the frame of the jet-driven model, as the formation of jets in a binary merger can be very common (e.g., López-Cámara et al. 2020 and references therein). In Section 2 we describe the basic features of the jet-powered ILOT scenario and apply it in a simple way to the ILOTs SNhunt120 and AT 2014ej. In Section 3 we build a more sophisticated toy model to describe the jet-powered ILOT scenario and apply it to these two ILOTs. We summarise in Section 4.

2. The Jet-Powered ILOT Scenario

2.1. Features of the Spherical Shell Model

The basic flow structure of the jet-powered ILOT scenario is as follows (Soker 2020a). A binary interaction leads to the ejection of a shell, spherical or not, at velocities of tens to hundreds of km s−1. The shell ejection period can last from a few weeks to several years. In a delay of about days to several months (or even a few years) the binary system launches two opposite jets. The jets collide with the shell, an interaction that converts kinetic energy, mainly from the jets, to radiation.

There are two types of evolutionary channels to launch jets. (1) The more compact secondary star accretes mass from the primary star and launches the jets, as in the jet-powered ILOT scenario of the Great Eruption of Eta Carinae (e.g., Soker 2007; Kashi & Soker 2010). The binary stellar system might stay detached, might experience grazing envelope evolution, and/or enter a common envelope evolution. In this case the binary systems might experience several jet-launching episodes. (2) The primary star gravitationally destroys the secondary star to form an accretion disk around the primary star, and this accretion disk launches the jets. In this case there is one jet-launching episode, although the jets' intensity can vary with time.

Soker (2020a) obtains the following approximate relations for jets that interact with a slower spherically symmetric shell and power an ILOT. We refer to this model as the spherical shell model. Soker (2020a) considers jets-shell interaction that (1) transfers a large fraction of the kinetic energy from the outflow to radiation, and (2) radiates much more energy than what recombination of the outflowing gas can supply. Soker (2020a) considers two opposite fast jets that hit a uniform spherical shell and accelerate the entire shell. In Section 3 we build a toy model where the jets penetrate into the shell and only interact with the shell's material in the polar directions.

In the simple flow structure that Soker (2020a) considers, the relevant properties of the jets are their half opening angle αj ≳ 10°, velocity vj ≈ 103 km s−1 and their total mass M2j ≈ 0.01 − 1 M. With a conversion efficiency of jet kinetic energy to radiation frad, the total energy in radiation is

Equation (1)

The relevant properties of the spherical shell are its velocity vsvj, mass Ms, radius rs and width Δrs.

The jet-shell interaction converts kinetic energy, mainly f{rom} the jets, to thermal energy. The hot bubbles that the jets inflate lose their energy adiabatically by accelerating the shell and non-adiabatically by radiation. The adiabatic cooling proceeds on a typical timescale that is the expansion time texp, while energy losses to radiation occur during a typical photon-diffusion time tdiff. Namely, the relative rates, Ė/E, of adiabatic and radiative energy losses are ${t}_{{\rm{\exp }}}^{-1}$ and ${t}_{{\rm{diff}}}^{-1}$, respectively. This implies that the fraction of energy that ends in radiation is

Equation (2)

For the simple spherically symmetric geometry he assumes, Soker (2020a) estimates the two timescales to be

Equation (3)

and

Equation (4)

where τ = ρs κ Δrs is the optical depth of the shell, κ is the opacity and c is the speed of light. The relevant ratio to substitute in Equation (2) is

Equation (5)

We emphasise that we do not assume any value for the jets' energy E2j. We rather take the jets' velocity from observations, and rely on the timescale of the ILOT together with an assumed opacity to find the mass in the shell (Eq. (4)). We then calculate the efficiency frad together with the mass in the jets (or their energy) to fit the total radiated energy (Eqs. (2) and (5)).

Soker (2020a) applies this spherical shell model of the jet-powered ILOT radiation to the ILOT (LRN) V838 Mon, to the Great Eruption of Eta Carinae which is an LBV and to the ILOT V4332 Sgr. He could find a plausible set of shell and jets parameters that might explain these ILOTs. Here we apply the spherical shell model to the ILOT (ILRT) SNhunt120 and to the ILOT (LRN) AT 2014ej. We summarise the plausible physical parameters of the ILOT events in Table 1, and explain their derivation in Sections 2.2 and 2.3. We emphasise that due to the very simple model we apply here, e.g., we use a spherical shell and we keep the opacity and shell thickness constant, the properties of the jets and shells we derive are very crude, and might even not be unique. Nonetheless, they demonstrate the potential of the jet-powered ILOT scenario to account for many ILOTs. The opacity of a fully ionised gas that is appropriate for ILOTs is κ ≃ 0.3 cm2 g−1 (e.g., Ivanova et al. 2013; Soker & Kashi 2016). We expect that in the outer parts of the shell, hydrogen is partially neutral, and that opacity is therefore lower. Therefore, we scale with κ = 0.1 cm2 g−1.

Table 1. Summary of plausible approximate values of parameters in the spherical-shell ILOT model of Soker (2020a) for the ILOTs SNhunt120 and AT 2014ej.

PropertySNhunt120AT 2014ej 1stpAT 2014ej 2ndp
[O] Radiated energy4 × 1047 1048 1.4 × 1048
Erad (erg) (assumed) 
[O] Timescale10-20≈ 2040
(d)   
[O] Photosphere2 × 1014 2.5 × 1014 2.5 × 1014
RBB (cm)   
[J] Shell mass0.71.51.5
Ms (M)   
[J] Jets' mass0.0450.10.15
M2j (M)   
[J] Jets' Energy4.5 × 1047 1.1 × 1048 1.6 × 1048
E2j (erg)   
[J] Emission efficiency0.90.90.9
frad    

We assume that AT 2014ej was powered by two jet-launching episodes, each accounting for one of the two peaks in the light curve. The symbol '[O]' in the first column implies a quantity we take from observations, while '[J]' indicates that we derive the plausible parameter. We derive these parameters under the assumption of a constant opacity of κ = 0.1 cm2 g−1 and a constant shell width of Δrs = 0.3rs. In both ILOTs, observation suggests jets' velocity of vj ≃ 1000 km s−1 which we also use here.

2.2. The ILOT SNhunt120

Stritzinger et al. (2020b) study the ILOT (ILRT) SNhunt120 and find the following relevant properties. The velocities of different emission lines are in the range of ≃ 300 − 1800 km s−1, with a typical velocity of ≈ 103 km s−1. The typical photospheric radius is RBB ≃ 2 × 1014 cm. The time to double the luminosity at rise is about 10 d, and the decline time to half the maximum luminosity is about 20 d. The total energy in radiation is Erad ≃ 4 × 1047 erg. Stritzinger et al. (2020b) further find that existing electron capture supernova models over-predict the energy in radiation. We do not consider this event to be a supernova, but rather an ILOT.

Following these parameters we scale the parameters for SNhunt120 with vj ≃ 1000 km s−1 and rs ≃ 2 × 1014 cm. To get a photon diffusion time of about the decline time of 20 d, we find from Equation (4) for κ = 0.1 cm2 g−1 and Δrs = 0.3 rs that Ms ≈ 0.7 M. For an opacity of κ = 0.3 cm2 g−1 and a somewhat thicker shell with Δ rs = 0.5 Rs, the required shell mass is only Ms ≈ 0.15 M.

Equation (5) then gives tdiff/texp ≈ 0.1, and from Equation (2) frad ≃ 0.9. To account for the emitted energy, we find from Equation (1) that the mass in the two jets is M2j ≈ 0.045 M (vj/1000 km s−1)−2.

In this analysis there is no reference to the shell velocity, except that it should be much lower than the jets' velocity. This implies here 100 km s−1vs ≲ 500 km s−1. To reach a distance of rs = 2 × 1014 the binary system ejected the shell about Δts ≃ 0.6 (vs /100 km s−1)−1 yr before detection. The kinetic energy in the shell for these parameters of Ms ≃ 0.7 M and vs ≃ 100 km s−1 is about 15% of the jets' energy. In any case, most of the kinetic energy of the shell does not convert to radiation.

In case that the secondary star launches the jets with a mass of M2j ≃ 0.045 M, it should accrete a mass of Macc,2 ≃ 0.45 M from a more evolved primary star, possibly a giant. This implies that the secondary star should be a massive star itself. We are therefore considering a massive binary system. Alternatively, it is possible that the primary star destroyed the secondary star with mass M2 ≃ 0.3 − 1 M to form an accretion disk that launched the jets. The primary is then a massive main sequence star, and the secondary is not yet settled on the main sequence, such that its average density is lower than that of the primary star (as in the merger model of V838 Mon; Tylenda & Soker 2006). In any case, the primary star mass can be in the range of M1 ≈ 10 M, similar to the range that Stritzinger et al. (2020b) consider. Since there is only one jet-launching episode, the jetpowered ILOT scenario does not directly refer, in the case of SNhunt120, to the question of which of these two evolutionary routes applies here.

2.3. The ILOT AT 2014ej

Stritzinger et al. (2020a) study the ILOT (LRN) AT 2014ej. They find that the light curve of models of equatorial collision (Metzger & Pejcha 2017; Sect. 1) under-predict the luminosity. We therefore consider powering by jets, i.e., polar collision.

Stritzinger et al. (2020a) find that AT 2014ej has slow component(s) moving at ≈ 100 km s−1 and fast component(s) moving at ≈ 1000 km s−1. The total radiated energy is Erad ≈ 2 × 1048 erg, with two large peaks in the light curve. From discovery to first minimum 20 d later, the luminosity decreased from L0 = 3.2 × 1041 erg s−1 to Lmin,1 = 1.2 × 1041 erg s−1. Over the next 35 d the luminosity increased to LATLpeak,2 ≃ 2.6 × 1041 erg s−1, after which the luminosity decreased over a timescale of several weeks. The photosphere was hotter in the first peak than in the second one. The photosphere (blackbody surface) moderately followed the behavior of the luminosity, and first declined somewhat and then increased somewhat. Its approximate average value was RBB ≃ 2.5 × 1014 cm.

In the jet-powered ILOT scenario such multiple-peaks can be accounted for by multiple jet-launching episodes. From Stritzinger et al. (2020a) we find that the radiated energy from detection to first minimum (0 to 20 d) is ≃ 4 × 1047 erg. If we take a similar energy at rise, the energy in the first peak is Erad,1p ≈ 1048 erg. The energy in the second peak, from 20 to about 95 d, is Erad,2p ≈ 1.4 × 1048 erg. The outburst of V838 Mon has a similar qualitative behavior with three peaks and three declines in the photospheric radius (Tylenda 2005).

In AT 2014ej the two peaks have about the same energy (under our assumption), but the second peak is slower by a factor of about two. From Equation (4) the mass in the shell should be larger in the second peak by a factor of two, ≃ 2 M instead of ≃ 1 M. We do not expect the system to lose much more slow mass in that short time. The difference in the timescales of the two peaks might come from different values of κ and/or Δrs between the two peaks, rather than from different shell masses. This can also be accompanied by precessing jets, i.e., the jets' axes in the two jet-launching episodes have different directions. In the present study we apply a simple model and do not calculate the opacity, and so we simply take Ms ≃ 1.5 M for both peaks.

From the equations in Section 2.1, we derive crude plausible values of the shell mass, jets' energy and emission efficiency for the two peaks, as we list in Table 1.

According to the jet-powered ILOT scenario, the two distinct peaks result from two jet-launching episodes. This suggests that the secondary star, possibly in an eccentric orbit, accreted mass and launched the jets. Most likely, the secondary star survived the interaction.

3. A Bipolar Toy Model

3.1. The Cocoon Toy Model

In the simple spherical-shell model that we apply in Section 2, the jets interact with the entire shell (Soker 2020a). We now turn to a more realistic toy model where the jets interact only with the shell segments along the polar directions. In this 'cocoon toy model' the jetshell interaction inflates a 'cocoon', i.e., a relatively hot bubble composed of the post-shock shell material and postshock jet material. We further simplify the interaction by assuming that the jets' activity time period is short, such that we can treat the jet-shell interaction that creates the cocoon as a 'mini explosion'. We base the cocoon toy model on our usage of this model to account for peaks in the light curves of core collapse supernovae (Kaplan & Soker 2020; for the geometry of a jet-ejecta interaction in core collapse supernova see the three-dimensional simulations of Akashi & Soker 2021). In the cocoon toy model we only calculate the timescale of the emission peak (eruption) and its maximum luminosity (or total energy). We do not calculate the shape of the light curve, but rather assume a simple shape for the light curve. We then calculate the total radiated energy by integrating the luminosity over time.

We assume that each mini-explosion that results from jet-shell interaction is spherically symmetric around the jet-shell interaction point (Akashi & Soker 2021), and that cooling is due to photon diffusion and adiabatic expansion. These assumptions allow us to determine the luminosity and the timescale of each mini-explosion. As we deal with ILOTs where the total radiated energy is larger than the recombination energy of the outflowing gas, we neglect the recombination energy. Like Kaplan & Soker (2020), we utilize equation (4) from Kasen & Woosley (2009) to calculate the time of maximum luminosity tj and the maximum luminosity Lj for one jet. These expressions read

Equation (6)

where Ej, Mjs, κc, αj, β and RBB are the energy that one jet deposits into the shell, the mass in the interaction region of one jet with the shell, the opacity in the cocoon, the half opening angle of the jet, the distance of the jet-ejecta interaction relative to the shell's outer edge (the photosphere radius RBB) and the photospheric radius of the shell, respectively. Namely, in this model the mini-explosion takes place at a radius (measured from the center of the binary system) of rme = β RBB. There is one mini-explosion on each of the two polar regions. The value of rme is constant and does not change with time. What increases with time is the radius of the cocoon itself, ac, that is measured from the place of the mini-explosion.

We build the light curve of the jet as follows. We assume that the shape of the rise of the peak to maximum luminosity is similar to the rise to maximum of the light curve of a core collapse supernova (based on photometric data of SN 2008ax, taken from The Open Supernova Catalog Guillochon et al. 2017). Since the light curve of the jet does not have a tail powered by radioactive processes and recombination, we take the decline of the mini-explosion from maximum to be symmetric to its rise. Again, we do not try to fit the light curve. We rather only derive the properties of the jets that might lead to an event that has the same timescale, luminosity and radiated energy. We assume a light curve, but our results are not sensitive to the exact shape of the light curve we assume.

We turn to estimate the jets' properties that according to the cocoon toy model might fit the eruption times and luminosities of the ILOTs SNhunt120 (Sect. 3.2) and AT 2014ej (Sect. 3.3).

3.2. The Cocoon Toy Model Fit of SNhunt120

First we extend the observed light curve of SNhunt120 (Stritzinger et al. 2020b; thick-red line in Fig. 1) by taking a linear fit before discovery and beyond t = 30 d after discovery, on both sides down to L = 0. This is the solidblue line in Figure 1. The observed light curve of this ILOT has a break at about 40 d post-discovery, where the decline becomes shallower. This might result from a second and weaker jet-launching episode or from matter collision in the equatorial plane. We are interested here only in the light curve around the maximum, so we continue the steep decline beyond 30 d post-discovery down to L = 0. We then find the radiated energy of SNhunt120 from our fit to the peak to be Erad,hunt = 3.8 × 1047 erg. As we explained in Section 3.1, we then build a toy model symmetric light curve that has the same maximum luminosity as SNhunt120, Lhunt = 1.4 × 1041 erg s−1, and the same total radiated energy. This is the green line in Figure 1 (for Case 1 that we describe next).

Fig. 1

Fig. 1 The light curve of SNhunt120 (thick-red line) from Stritzinger et al. (2020b), our extension of the peak of light curve (blue line), and a light curve of the cocoon toy model (green line for Case 1). We constrain the green light curve to fit the total radiated energy of the peak Erad,hunt = 3.8 × 1047 erg and its maximum luminosity Lhunt = 1.4 × 1041 erg s−1. The parameters of this fit (Case 1) are the opacity κc, the jets' half opening angle αj and the radius of the jet-shell interaction region β RBB, where RBB is the photosphere radius. We calculate the values of the combined energy of the two jets E2 j and the combined masses in the jet-shell interaction regions M2js. Note that we do not try to fit the shape of the light curves, but rather only try to explain the amount of radiated energy and maximum luminosity of the peak.

Standard image

We calculate the energy of one jet Ej and the mass in the region of interaction of one jet with the shell (the cocoon), Mjs, as follows. We build a symmetric toy model light curve (one example is the green line in Fig. 1) that is characterised by its maximum luminosity Lj and by its timescale from start to maximum tj by Equations (6). We then calculate the total radiated energy according to this light curve (area under the green light curve). We iterate the values of Ej and Mjs until we obtain the luminosity due to the two jets together of L2j = Lhunt = 1.4 × 1041 erg s−1, and the total radiated energy from the two jets is Erad,2j = Erad,hunt = 3.8 × 1047 erg. We note that the cocoon toy model is not sensitive to the expansion velocities of the shell or of the jets, as long as vjvs.

We do not vary the values of the photosphere radius RBB = 2 × 1014 cm that we take from Stritzinger et al. (2020b) or of β = 0.7 in Equations (6). We do vary the values of the jets' half opening angle αj and of the opacity κc. We continue with the wide jets that we discussed in Section 2 (Soker 2020a) and scale by αj = 60°, but we consider narrower jets as well. We scale the opacity by κc = 0.1 cm2 g−1 but also examine κc = 0.05 cm2 g−1 and κc = 0.3 cm2 g−1 to demonstrate the model sensitivity to opacity. The relevant scalings of Equations (6) for SNhunt120 (for one jet) read

Equation (7)

and

Equation (8)

As with the spherical shell model, we do not assume the energy of the jets. The input variables to the fitting process are the light curve, the half opening angle of the jets, the opacity and the values of β and sin αj. We take the radius of the continuum blackbody photosphere from observations. We then substitute the observed ILOT's (or one peak of the ILOT) duration tj and the energy radiated from one jet-shell interaction Lj in Equations (9) and (10), and solve for the one jet's energy Ej and the mass of the shell that one jet interacts with Mjs.

In Table 2 we present six sets of values in the cocoon toy model for SNhunt120. We emphasise that we do not try to fit the shape of the light curves, and only try to explain the amount of radiated energy, the timescale and the maximum luminosity of the peak. In Figure 1 we signify Case 1 by the green line.

Table 2. Six different sets of parameters that fit the peak of the light curve and the total radiated energy of the ILOT SNhunt120 in the frame of the cocoon toy model.

Case κc αj E2j M2js frad
 (cm2 g−1) (1047 erg)(M) 
10.160°4.10.210.93
20.360°7.20.130.53
30.0540°4.60.360.83
40.140°6.40.250.59
50.340°11.40.150.33
60.130°9.60.290.4

The opacity κc and the jets' half opening angle αj are input parameters for the modelling. Other parameters are as in Eqs. (7) and (8). We calculate from these equations (see text) the combined energy of the two jets E2j and the combined mass in the interaction regions of the two jets with the shell M2js. In the last column, we list the emission efficiency frad = Erad/E2j.

The energy of the jets and the mass they interact with vary between the cases. The energy range is E2j ≃ 4 × 1047 erg − 11 × 1047 erg. In the spherical-shell model of Section 2.2, the jets' energy is 4:5 × 1047 erg. From the cases of Tables 1 and 2, we crudely take the jets' energy for this ILOT to be E2j(SNhunt120) ≃ 5 × 1047 erg.

In the cocoon toy model, the jets interact with a fraction of the shell. After the 'mini-explosion' the assumed spherical interaction zone (cocoon) expands from its initial cocoon-radius ac,0 = sin αj β RBB to larger radii. The mass in the interaction zone is then M2js > (1 − cos αj ) Ms. Namely, the shell mass is Ms < M2js/(1 − cos αj ). From Table 2 we find the shell masses of the different cases to be Ms (Case 2) < 0.3 M to Ms (Case 6) < 2.2 M. In the spherical shell model the shell mass is 0.7 M (Table 1). We crudely take for this ILOT Ms(SNhunt120) ≃ 0.5 − 1 M, but we note that the model can accommodate somewhat lower shell masses. As we discussed in Section 2.2, the progenitor binary system of this ILOT might have a combined mass of M1 + M2 ≈ 10 M.

3.3. The Cocoon Toy Model Fit of AT 2014ej

Because at discovery AT 2014ej was already in its decline from the first peak in its light curve, we only try to fit the maximum luminosity and the radiated energy of the second peak. In Figure 2 we plot the blackbody light curve of AT 2014ej by the thick-red line, as Stritzinger et al. (2020a) estimate (their fig. 4). The maximum luminosity of the second peak is LAT = 2.6 × 1041 erg s−1. In our cocoon toy model this value implies Lj = L2j/2 = LAT/2 = 1.3 × 1041 erg s−1. We examine only the time near maximum luminosity before the break around t ≃ 70 d. We therefore extend the blackbody light curve near maximum (solid-blue line in Fig. 2) by taking a linear fit before t = 42 d and beyond t = 67 d after discovery, in both sides down to LAT = 1.2 × 1041, which is the minimum in the light curve between the two peaks. We find that the total energy that this ILOT radiated in its second peak according to our fit (solid-blue line in Fig. 2) is Erad,AT = 1.1 × 1048 erg. We note that in Section 2.3 where we apply the spherical shell model we include the 'hump' at t ≃ 90 d, and therefore the radiated energy is somewhat larger. The hump can result from a weak third jet-launching episode or from mass collision in the equatorial plane.

Fig. 2

Fig. 2 Similar to Fig. 1 but for AT 2014ej. We show the light curve of AT 2014ej (thick-red line; from Stritzinger et al. 2020a), our fit to the light curve of the second peak of AT 2014ej (blue line) and the assumed light curve of the cocoon toy model (green line). We fit the radiated energy of the second peak Erad, AT = 1.1 × 1048 erg and the maximum luminosity LAT = 2.6 × 1041 erg s−1. The relevant scaled-equations are Eqs. (9) and (10).

Standard image

We recall that our cocoon toy model does not fit a light curve, but rather fits only the maximum luminosity and total radiated energy (or timescale). We rather assume a symmetric light curve (green line in Fig. 2 for Case 1). We proceed as in Section 3.2 and solve Equations (6) iteratively for several combinations of the input parameters αj and κc. We can scale Equations (6) with typical values for AT 2014ej (Case 1). The scaled equations read

Equation (9)

and

Equation (10)

We examine four cases with different values of αj and κc that we summarise in Table 3.

Table 3. Similar to Table 2 but for the second peak of the ILOT AT 2014ej (Fig. 2), and with the scaling of Eqs. (9) and (10).

Case κc αj E2j M2js frad
 (cm2 g−1) (1048 erg)(M) 
10.130°1.140.460.96
20.330°1.80.240.61
30.120°1.80.490.61
40.320°30.280.37

We find that we can better fit the second peak in the light curve of AT 2014ej with moderately wide jets αj ≃ 20 − 30°. Fitting with wide jets does not yield acceptable results. For the parameters we list in Table 3, the jets' energy range is E2j ≃ 1.14 × 1048 − 3 × 1048 erg. In the spherical shell model for the second peak, we found this energy to be 1.6 × 1048 erg (Table 1). We take the jets' energy for this ILOT to be E2j(AT 2014ej) ≈ 1.5 × 1048 erg. For jet velocity of vj = 1000 km s−1 the mass in the jets is then M2j ≃ 0.15 M.

We proceed as in Section 3.2 to put an upper limit on the shell mass Ms < M2js/(1 − cos αj ). We calculate from Table 3 Ms < 2 M, 1 M, 3.7 M and 1.2M for Cases 1, 2, 3 and 4 respectively. In the spherical shell model we crudely estimate (Table 1) the shell mass to be Ms ≈ 1.5 M. We take the slow shell mass for this ILOT to crudely be Ms(AT 2014ej) ≈ 1 − 2 M. If this shell mass holds, then the progenitor binary system of this ILOT cannot be a low mass system, and requires the combined mass to be M1 + M2 > 5 M, but more likely M1 + M2 ≳ 10 M.

4. Summary

We apply the jet-power ILOT scenario to two recently studied ILOTs, SNhunt120 (Stritzinger et al. 2020b) and AT 2014ej (Stritzinger et al. 2020a). In Section 2 we apply the spherical shell model (Soker 2020a), and in Section 3 we apply the cocoon toy model that we have used to explain some peaks in the light curve of core collapse supernovae (Kaplan & Soker 2020). In both these models of the jet-power ILOT scenario, fast jets catch up with a slower and older shell and collide with it. The collision converts kinetic energy to thermal energy. The post-shock shell and jet gases form a hot bubble, the cocoon. The cocoon cools by photon diffusion that turns to radiation, and by adiabatic expansion. The competition between these processes determines the efficiency of converting kinetic energy, mainly of the jets, to radiation.

These two models are very crude because we neither conduct hydrodynamic simulations of the interaction nor radiative transfer calculations. As well, we take some parameters to have constant values, in particular the opacity. Even if one does conduct these numerical calculations, the parameter space of the model is very large. Namely, we have no knowledge of the properties of the shell or of the jets, in particular the distribution of the momentum flux of the shell or of the jets with direction and time. Nonetheless, we did reach our main goal, which is to show that the jet-powered ILOT scenario can account for these two ILOTs.

We found the following properties of the jet-powered ILOT scenario for these ILOTs. For SNhunt120 (Table 2) we found that we need to use moderately-wide, αj ≃ 30°, to wide, αj ≃ 60°, jets. For wider jets the assumptions of the model do not hold any more (like the assumption that the cocoon has time to expand), and for narrower jets the shell becomes too massive. The typical jet energy that might explain the peak of SNhunt120 is E2j(SNhunt120) ≃ 5 × 1047 erg (Tables 1 and 2). For jet velocity of vj = 1000 km s−1 the mass in the jets is then M2j ≃ 0.05 M. The mass of the shell is less certain, and it is sensitive to the parameters of the models. We crudely estimated Ms(SNhunt120) ≃ 0.5 − 1 M.

For the second peak of AT 2014ej we had to use moderately wide jets (Table 3). The jet energy is E2j(AT 2014ej) ≈ 1.5 × 1048 erg (Tables 1 and 3). For jet velocity of vj = 1000 km s−1 the mass in the jets is then M2j ≃ 0.15 M. We crudely estimated Ms(AT 2014ej) ≈ 1 − 2 M.

To launch jets with a mass of ≃ 0.1 M, the star that launches the jets should accrete Macc ≃ 10 M2j ≃ 1 M. An example of such a case is a very young massive star of ≈ 10 M that tidally destroys a pre-main sequence star of ≃ 1 M and accretes most of its mass. This high value of accreted mass and the massive shell Ms ≈ 1 M suggest that the binary system progenitors of these two ILOTs are massive, namely M1 + M2 ≳ 10 M.

Future studies should include more accurate numerical simulations of the jet-shell interaction and of radiative transfer. A parallel line of studies should examine which type of binary systems can lead to such high mass transfer and mass loss rates.

Acknowledgements

We thank Ari Laor for useful discussions and Amit Kashi and an anonymous referee for helpful comments. This research was supported by a grant from the Israel Science Foundation (420/16 and 769/20) and a grant from the Asher Space Research Fund at the Technion.

Footnotes

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10.1088/1674-4527/21/4/90