PUSHing Core-collapse Supernovae to Explosions in Spherical Symmetry. IV. Explodability, Remnant Properties, and Nucleosynthesis Yields of Low-metallicity Stars*

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Published 2020 January 13 © 2020. The American Astronomical Society. All rights reserved.
, , Citation Kevin Ebinger et al 2020 ApJ 888 91 DOI 10.3847/1538-4357/ab5dcb

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0004-637X/888/2/91

Abstract

In this fourth paper of the series, we use the parameterized, spherically symmetric explosion method PUSH to perform a systematic study of two sets of nonrotating stellar progenitor models. Our study includes pre-explosion models with metallicities Z = 0 and Z = Z × 10−4 and covers a progenitor mass range from 11 to 75 M. We present and discuss the explosion properties of all models and predict remnant (neutron star or black hole) mass distributions within this approach. We also perform systematic nucleosynthesis studies and predict detailed isotopic yields as a function of the progenitor mass and metallicity. We present a comparison of our nucleosynthesis results with observationally derived 56Ni ejecta from normal core-collapse supernovae (CCSNe) and with iron-group abundances for metal-poor star HD 84937. Overall, our results for explosion energies, remnant mass distribution, 56Ni mass, and iron-group yields are consistent with observations of normal CCSNe. We find that stellar progenitors at low and zero metallicity are more prone to black hole formation than those at solar metallicity, which allows for the formation of black holes in the mass range observed by LIGO/VIRGO.

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1. Introduction

At the end of their lives, stars more massive than 8 M undergo gravitational collapse of their core, either of an ONeMg core for stars of ∼8–10 M (Doherty et al. 2017) or of an iron core for stars >10 M. This collapse marks the onset of a core-collapse supernova (CCSN), a violent event resulting in an explosion that disrupts the star, leaves behind a compact object as a remnant, and synthesizes and disperses many chemical elements in the host galaxy of the progenitor star, contributing to its chemical enrichment. However, exactly which stars successfully explode and form neutron stars (NSs) after core collapse and which stars fail to explode and eventually form black holes (BHs) remains an open question.

Observationally, estimates of explosion energies and pre-explosion masses are available for many CCSNe. For the well-studied case of SN 1987A, additional information on the ejected masses of 56,57,58Ni and 44Ti is also available (Fransson & Kozma 2002; Seitenzahl et al. 2014; Boggs et al. 2015). Failed SNe provide complimentary data relevant to the question of which massive stars successfully explode and which stars fail to explode. The LIGO/VIRGO Collaboration has observed gravitational wave signals from 10 BH–BH mergers (The LIGO Scientific Collaboration et al. 2019) during the first two observing runs (and several more during the ongoing third observing run). The individual BH masses span a range from 7.6 to 50.6 M, with most of the masses being above ∼23 M. A possible formation pathway of these BHs are failed SNe of low-metallicity massive stars (Abbott et al. 2016). In addition, Adams et al. (2017) have optically confirmed the disappearance of a 25 M zero-age main-sequence (ZAMS) mass red supergiant star.

There exist several studies that have investigated the connection between the final stellar pre-collapse structure of a massive star and the outcome of neutrino-driven explosions in effective models (O'Connor & Ott 2011; Ugliano et al. 2012; Pejcha & Thompson 2015; Perego et al. 2015; Ertl et al. 2016; Müller et al. 2016; Sukhbold et al. 2016; Couch et al. 2019; Curtis et al. 2019; Ebinger et al. 2019; Mabanta et al. 2019). These studies use different approaches and have different scopes. However, overall they all agree that there is no single stellar mass that divides the massive stars into exploding and imploding stars. Instead, a more complex picture with "islands of explodability" has emerged.

Another open question related to CCSNe is what are the detailed yields from CCSNe for the entire range of initial masses and initial metallicities. To date only a few nucleosynthesis predictions from multidimensional CCSN simulations are available (Eichler et al. 2018; Harris et al. 2017; Wanajo et al. 2018; Yoshida et al. 2017). Currently, multidimensional simulations are computationally still too expensive to be performed over the full range of initial masses and metallicities, as required for Galactic chemical evolution (GCE) simulations. Nucleosynthesis predictions from piston and thermal/kinetic bomb models in spherical symmetry are very abundant in the literature (Woosley & Weaver 1995; Thielemann et al. 1996; Rauscher et al. 2002; Limongi & Chieffi 2006, 2012, 2018; Nomoto et al. 2006, 2013; Woosley & Heger 2007; Umeda & Nomoto 2008; Heger & Woosley 2010; Chieffi & Limongi 2013, 2017; Nomoto 2017), but these calculations do not include the physics of the collapse and of the explosion phase. In particular, the neutrino interactions that set the electron fraction in the innermost ejecta are omitted. This uncertainty most strongly affects the iron-group yields (Fröhlich et al. 2006a). In addition, the explosion energy and the mass cut are treated as two independent free parameters. Moreover, at the present time, only a few sets of yield predictions that include the entire mass range of CCSNe at more than one initial metallicity exist in the literature (Woosley & Weaver 1995; Nomoto et al. 2013; Limongi & Chieffi 2018). Such yields are required to interpret the observed abundances in metal-poor stars and also as input to GCE simulations.

The present work is part of a series of investigations using the PUSH method, first introduced in Perego et al. (2015, hereafter Paper I). The PUSH method is an effective method that relies on the neutrino-driven mechanism for the central engine of CCSNe. It mimics, in spherically symmetric simulations, the enhanced neutrino energy deposition of multidimensional models. Particularly important for the nucleosynthesis predictions is the fact that the PUSH method allows us to trigger explosions without modifying the electron-flavor neutrino/antineutrino luminosities. In addition, the bifurcation between ejecta and proto-neutron star (PNS) matter (the mass cut) emerges naturally from the PUSH simulations. Both of these aspects are crucial for accurate predictions of the conditions in the innermost ejecta, where in particular the iron-group elements are synthesized.

In Paper I, we calibrated the PUSH method using SN 1987A and pre-explosion models with ZAMS masses in the range of 18–21 M. We showed in a proof-of-principle study that explosion energies and yields of 56,57,58Ni and 44Ti consistent with observationally derived values can be obtained. In Ebinger et al. (2019, hereafter Paper II) we extended and refined the PUSH method and applied it to two large sets of pre-explosion models of massive stars at solar metallicity. We predicted explosion properties and remnant properties in Paper II. In Curtis et al. (2019, hereafter Paper III) we made use of the simulations from Paper II to predict detailed nucleosynthesis yields. In this work, we apply the PUSH method, using the calibration obtained in Paper II, to predict explosion outcomes and nucleosynthesis yields for pre-explosion models of massive stars at low and zero initial metallicity.

This article is organized as follows: Section 2 summarizes the input models, the CCSN simulations, and the nuclear reaction network used. We present the explosion outcomes in Section 3 and the detailed nucleosynthesis yields in Section 4. We also discuss trends in the explosion properties and yields as a function of progenitor properties. The explosion properties and nucleosynthesis yields are compared to observations in Section 5. In Section 6, we present and discuss the properties of the compact remnants (NSs and BHs) from our simulations. We conclude with a discussion and a summary of our results in Section 7.

2. Method and Input

2.1. Initial Models

In this study, we explore pre-explosion models of two different metallicities: low metallicity (Z = 10−4 Z, "u-series") and zero metallicity (Z = 0, "z-series") from Woosley et al. (2002). These models are based on the stellar evolution code KEPLER and represent nonrotating single stars. We investigate all models of the z-series from 11 to 40 M ZAMS mass, increasing in steps of 1 M. From the u-series, we investigate the corresponding pre-explosion models of the same mass and six additional models between 45 and 70 M. A list of all pre-explosion models used in this study is given in Table 1. We use the same naming convention as in our previous papers: each model is labeled by its ZAMS mass and the letter "u" or "z," indicating which series it belongs to (see also Table 1). We compare our results for the u- and z-series to those of the two previously investigated series of pre-explosion models with solar metallicity: the "s-series" (Woosley et al. 2002) and the "w-series" (Woosley & Heger 2007), as presented in Papers II and III.

Table 1.  Pre-explosion Models Used in This Study

Series Label Min Mass Max Mass Δm Reference
    (M) (M) (<)  
u-series u 11.0 40.0 1.0 1
    45.0 70.0 5.0 1
z-series z 11.0 40.0 1.0 1

Note. The u-series has low metallicity (Z = 10−4 Z). The z-series has zero metallicity (Z = 0).

Reference. (1) Woosley et al. 2002.

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As in our previous studies, we make use of the compactness, introduced in O'Connor & Ott (2011) and given by

Equation (1)

where we use M = 2.0 M for the mass enclosed by the radius R(M) in our investigations. In Figure 1 we show the compactness for the low- and zero-metallicity pre-explosion models used in this study and the solar-metallicity models used in our previous studies, which illustrates the nonmonotonic relationship between compactness and ZAMS mass. This is due to a complex interplay of different burning shells and the efficiency of semiconvection and overshooting (Sukhbold & Woosley 2014; Sukhbold et al. 2018). Furthermore, at zero metallicity hydrogen burning proceeds initially solely via the p–p chains, which do not produce enough energy to prevent the star from contracting during H burning. Once the temperature is high enough, the triple-alpha reaction switches on and H burning continues as in low-metallicity stars but at higher temperature. The total mass at collapse, however, follows a monotonic relationship with the ZAMS mass for these low/zero-metallicity pre-explosions models. Stellar winds, which cause mass loss from the stellar surface, are metallicity dependent and can significantly influence the stellar evolution (Chiosi & Maeder 1986). The mass-loss rate scales with the initial metallicity of the stellar model, such that zero-metallicity stars experience virtually no mass loss during their evolution. In Figure 2, we show the internal structure of the pre-explosion models used in this work. We define the Fe core as the layers with Ye < 0.495, the carbon–oxygen (CO) core mass as the enclosed mass with XHe ≤ 0.2, i.e., up to the beginning of the He shell, and the He core mass as the mass regions with XH ≤ 0.2, i.e., up to the beginning of the H shell. For ZAMS masses up to ∼27 M, the CO core masses are very similar for all four series of pre-explosion models and increase monotonically with ZAMS mass. Above 27 M, the CO core mass continues to increase monotonically for the u- and z-series. For the s- and w-series (at solar metallicity), mass loss can be strong enough that even the outermost layers of the CO core can be stripped (see Figures 3 and 4 in Paper II).

Figure 1.

Figure 1. Compactness ξ2.0 (evaluated at 2.0 M) as a function of the ZAMS mass of the pre-explosion models. Four sets of initial models are shown: z-series (red), u-series (yellow), and s-series (blue) from Woosley et al. (2002), and also the solar-metallicity models (green) from Woosley & Heger (2007). The horizontal dashed black line denotes the compactness for which the standard calibration of ${k}_{\mathrm{push}}$ reaches the maximum value.

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Figure 2.

Figure 2. Fe core mass (black), CO core mass (blue), He shell mass (yellow), and total mass including the H envelope (red) as a function of ZAMS mass at the onset of collapse for the pre-explosion models from the u-series (top) and z-series (bottom).

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2.2. Hydrodynamic Simulations

We use the same setup as in Papers II and III to simulate and investigate the collapse, bounce, and post-bounce phases of all models in Table 1. The hydrodynamic simulations are performed with the general relativistic, adaptive-grid code Agile, which is coupled to neutrino transport. We use the IDSA scheme (Liebendörfer et al. 2009) for the electron-flavor neutrino transport and the advanced spectral leakage scheme (ASL) for heavy-flavor neutrino transport (Perego et al. 2016). For matter in nuclear statistical equilibrium (NSE) conditions we use the finite-temperature, nuclear equation of state (EOS) HS(DD2) (Hempel & Schaffner-Bielich 2010). Matter in the non-NSE regime is described by an ideal gas EOS coupled with an approximate alpha-network. We trigger explosions in spherical symmetry using the PUSH method (Perego et al. 2015). PUSH is a physically motivated, effective method that mimics in one-dimensional simulations the additional neutrino heating caused by accretion and convection present in multidimensional simulations. This is achieved via the parameterized heating term ${Q}_{\mathrm{push}}^{+}$(t, r), which deposits a fraction of the heavy-flavor neutrino energy behind the shock (see Equation (4) in Paper I). This heating term depends on the spectral energy flux for a single heavy lepton neutrino flavor and includes both a spatial term (which ensures that heating only takes place where electron neutrinos also heat) and a temporal term ${ \mathcal G }(t)$, which contains the two free parameters of the method, ${k}_{\mathrm{push}}$ and ${t}_{\mathrm{rise}}$.

We follow Paper II and use the there-presented standard calibration of the PUSH method, which is in good agreement with observations. This calibration uses trise = 400 ms and a parabolic dependence of ${k}_{\mathrm{push}}$ on the compactness ξ: ${k}_{\mathrm{push}}(\xi )=a{\xi }^{2}+b\xi +c$, where the calibrated parameters are a = −23.99, b = 13.22, and c = 2.5, and ξ denotes the compactness at bounce. For the standard calibration we use ξ2.0, i.e., the compactness evaluated at M = 2.0 M. To investigate the dependence of the explodability and remnant properties on the PUSH calibration, we also study the "second calibration" from Paper II,6 which is based on the compactness value ξ1.75 instead of ξ2.0. Hence, the "second calibration" depends more strongly on the iron-core mass, resulting in a setup more prone to BH formation.

We include matter of the pre-explosion model from the center to the He layer, corresponding to a radial coordinate of ∼1010 cm. For the pre-explosion models above ∼30 M that collapse to BHs, we include ∼10 M. The hydrodynamic simulations are run for a total time of 5 s. The outcome of a run for a given model corresponds to one of the following three options: (i) a successful explosion if the explosion energy at the end of the simulation is saturated and positive, (ii) the formation of a BH if the central density exceeds ∼1015 g cm−3 during the 5 s simulation time, or (iii) a failed explosion if the explosion energy is negative at the final simulation time for which PUSH no longer is active. We calculate the explosion energy as in Paper I, where we defined it as the sum of thermal, kinetic, and gravitational energy integrated from the mass cut to the stellar surface (see also Equations (14)–(16) in Paper I).

2.3. Nucleosynthesis Post-processing

The detailed nucleosynthesis of our CCSN simulations is calculated in a post-processing approach using the nuclear reaction network CFNET (Fröhlich et al. 2006a), as in Paper III. We follow 2902 isotopes, including free neutrons, protons, and isotopes on both sides of the valley of β-stability, up to 211Eu. For the reaction rates we use the reaction rate library REACLIB (Cyburt et al. 2010), which is based on experimentally known rates wherever available, and theoretical predictions for n-, p-, and α-capture reactions from Rauscher & Thielemann (2000). For the weak interactions, we include electron and positron capture rates from Langanke & Martínez-Pinedo (2001), β± decays from the nuclear database NuDat27 and from Möller et al. (1995), and also neutrino/antineutrino captures on free nucleons.

We divide the ejecta into mass elements (called "tracers") of 10−3 M each. For every tracer, the thermodynamic history is known from the beginning of the hydrodynamical simulation until the final simulation time of 5.0 s. Following Papers II and III, only tracers that reach a peak temperature ≥1.75 GK are processed with the nuclear reaction network. For tracers that are heated to ≥10 GK, we start the nucleosynthesis calculations when the temperature starts dropping below that value. We assume an NSE abundance distribution for the initial abundances at 10 GK. For the other tracers that never reach 10 GK, we start the nucleosynthesis calculations at the beginning of the hydrodynamic simulation and follow the full thermodynamic history of the tracer. In both cases, we use the electron fraction from the hydrodynamic simulation as the initial value and evolve the electron fraction in the nuclear reaction network consistent with the nuclear reactions occurring. The extrapolation of the trajectories of the tracers beyond the end of the hydrodynamic simulations is given by

Equation (2)

Equation (3)

Equation (4)

where r is the radial position, v the radial velocity, ρ the density, T the temperature, s the entropy per baryon, and Ye the electron fraction of the tracer. The subscript "final" indicates the end time of the hydrodynamical simulation. To calculate the extrapolated temperature, we use the EOS of Timmes & Swesty (2000). The end point of the nucleosynthesis calculations is set when the temperature falls below 0.05 GK.

3. Systematic Explosion Properties

3.1. Explosion Properties

In this section we present and discuss the explosion properties of our simulations for the u-series and z-series. An overview of the explosion properties and predicted remnant properties for all pre-explosion models of this study is given in Figure 3. We show the explosion energy, the explosion time, the ejected 56Ni mass, the total ejecta, and the baryonic remnant mass (top to bottom) for the u-series (left column) and the z-series (right column) for the standard calibration.

Figure 3.

Figure 3. From top to bottom: explosion energy, explosion time, ejected Ni mass, total ejecta mass, and remnant mass (baryonic mass) for the u-series (left column) and z-series (right column) as a function of the ZAMS mass using the standard calibration. Dark bars in the explosion energy and remnant mass panels indicate models that did not explode, i.e., ultimately formed BHs. The presented data are available as a machine-readable table. Sample tables can be found in Appendix A.

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We obtain explosion energies from ∼0.2 to 1.6 B. The lowest explosion energies are obtained for the lowest ZAMS mass progenitors (≤12 M), as well as for the heaviest ZAMS mass progenitors that still explode for both series. In addition, we find very low explosion energies for a few models with ZAMS masses that are located directly next to a region of BH formation (almost-failing SNe; see Section 3.3). The highest explosion energies are obtained for pre-explosion models around ∼15 M ZAMS mass for the u-series and around ∼17 M for the z-series. This corresponds to the slight shift of the peak compactness values to higher ZAMS masses for the u-series when compared to the z-series.

The obtained ejected 56Ni masses range from ∼0.025 to 0.14 M. Below 20 M ZAMS mass, the highest and lowest values of the ejected 56Ni coincide with the highest and lowest explosion energies, respectively. Above 20 M, the almost-failing models do not follow this trend. Instead, they eject the largest amount of 56Ni at the lowest explosion energies in delayed explosions. This aspect is discussed in more detail in Section 3.3.

The total ejecta mass increases with ZAMS mass below ∼20 M for all exploding models. Above ∼20 M ZAMS mass, the total ejecta mass continues to increase with increasing ZAMS mass for models at low/zero initial metallicity, while at solar metallicity the total ejecta mass decreases with increasing ZAMS mass above ∼20 M. This is because at low metallicity massive stars experience almost no mass loss during their evolution, and as a result they collapse with their initial mass, while at solar metallicity mass loss is quite strong, which reduces the total stellar mass significantly.

For the exploding models, we obtain gravitational NS masses from ∼1.3 to 1.8 M. Overall, the u-series is more prone to BH formation than the z-series, consistent with the results of O'Connor & Ott (2011). Also in agreement with their results, we find that low-metallicity stars above ∼30 M robustly form BHs. These low-metallicity sets were studied by Pejcha & Thompson (2015) as well. While they also find successful explosions interwoven with BH formation, their detailed predictions differ from ours. In particular, one of their parameterizations predicts a larger fraction of BHs compared to our standard calibration, including BHs below 20 M ZAMS mass, for both progenitor sets. Their second parameterization is more optimistic and predicts explosions below 20 M; however, it also finds many exploding models above 30 M, in contrast with our results. In the u-series, BH formation starts to occur at lower ZAMS masses than in the z-series. Exploding models beyond 20 M ZAMS mass also have lower explosion energies in the u-series than their counterparts in the z-series. As we have speculated in Paper II—based on the higher compactness and larger stellar masses at collapse—the low-metallicity models indeed do not lead to successful explosion above ∼30 M and therefore constitute a potential origin of the BHs seen by LIGO/VIRGO (see also Section 6).

In Figure 4, we give a summary of the final outcomes of the "standard calibration" and of the "second calibration" for both samples of pre-explosion models presented in this paper and the two samples at solar metallicity discussed in Paper II. In agreement with our previous work, we see that the second calibration results in a lower explodability and leads to a larger fraction of BHs, which is of particular interest for the resulting birth-mass distributions of NSs and BHs discussed in Section 6. Additionally, the low- and zero-metallicity series have a continuous region of BH formation above certain values of ZAMS mass for both calibrations. The one outlier to this in the z-series is a model with very low explosion energy and that almost fails to explode (see also Section 3.3).

Figure 4.

Figure 4. Explosion outcomes for the four sets of pre-explosion models: z-series (red), u-series (yellow), s-series (blue), and w-series (green). The colored areas indicate exploding models that leave behind an NS as a remnant, and black areas indicate failed explosions that lead to BH formation. Dark colors are used for the standard calibration (top panel), and lighter colors are used for the second calibration (bottom panel).

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3.2. Trends with Compactness

In this section, we examine the outcomes of our simulations in terms of the compactness ξ2.0 at bounce and discuss emerging trends. The explosion energy, the baryonic remnant mass, and the explosion time for both series of pre-explosion models are shown in Figure 5. For all three quantities we find similar trends to those for the samples at solar metallicity presented already in Paper II.

Figure 5.

Figure 5. From top to bottom: explosion energy, remnant mass (baryonic mass), and explosion time for the u-series (orange triangles) and z-series (red squares) as a function of the compactness ξ2.0. Only exploding models are shown. Open symbols correspond to models to the left of the compactness peak; filled symbols indicate models to the right of the compactness peak.

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For the explosion energy as a function of the compactness we find two trends within our models. Below compactness values of ξ2.0 ∼ 0.3 the explosion energy increases roughly linearly with compactness (${k}_{\mathrm{push}}$ increases with compactness up to ξ2.0 ∼ 0.3; see Figure 8 in Paper II). Above compactness ξ2.0 ≳ 0.3, we observe a bifurcation into two branches of explosion energies. In one branch (consisting mostly of filled symbols), the explosion energies decrease with compactness, slightly following the decrease in ${k}_{\mathrm{push}}$ for ξ2.0 ≳ 0.3 of our calibration. In the other branch (consisting of open symbols) continues the increasing relation between compactness and explosion energy from ξ2.0 < 0.3. The two branches of explosion energy correspond to the pre-explosion models with similar compactness but distinct ZAMS masses. In Figure 1 we see that there are two regions of ZAMS masses, separated by a peak in compactness around ∼25 M, which have similar values of compactness. These models, however, differ in their total mass at collapse and also in the mass of the CO core (see Figure 2). These differences lift the degeneracy in compactness and explain the two branches of explosion energies. In Figure 5 we use open markers for models to the left of the peak in compactness and filled markers for models to the right of the peak to emphasize this point. Furthermore, the models in the lower explosion energy branch have higher pre-explosion model mass and an overall flatter density profile with on average higher densities above an enclosed mass of ∼1.25 M. Therefore, in these models more mass needs to be unbound in the course of the explosion and the shock front needs to pass through denser infalling matter.

We find a strong correlation between the NS mass and the compactness. Models with a higher compactness experience higher mass accretion rates and therefore accrete more matter onto the PNS before they ultimately explode. In our framework, the models with the highest compactness values do not explode and instead collapse to BHs. This sets an upper mass limit for the NSs that are formed in CCSNe. The explosion times somewhat reflect our choice of calibration and as such are not a true prediction from our models. The models with the lowest and the highest compactness values have lower values of ${k}_{\mathrm{push}}$ and hence take longer to explode than the models with intermediate compactness values where ${k}_{\mathrm{push}}$ reaches the largest values. There the explosion times become comparable to the set value of ${t}_{\mathrm{rise}}$.

3.3. Almost-failing Supernovae

As we have seen in Section 3.1, there are some models with low explosion energies around 0.3 B and relatively high masses of ejected 56Ni around 0.1 M. From Figure 3 we immediately find that these are the u24, u30, and z31 models, which have very low explosion energies and large values of ejected 56Ni mass, coupled with very delayed explosion times and among the highest remnant masses in the investigated samples. All three models have high compactness values (ξ2.0 ∼ 0.6) and are right next to regions of BH formation. In our calibration of PUSH, a high compactness value implies a small ${k}_{\mathrm{push}}$ value, and hence only a little extra heating is provided, which results in delayed explosions (or no explosion). A reduction of ${k}_{\mathrm{push}}$ by a small amount leads to the failing of the explosion of these models, and an increase of ${k}_{\mathrm{push}}$ would result in earlier explosions with increased explosion energies. For delayed explosions, the mass accretion onto the freshly formed PNS extends to later times. This leads to higher luminosities of the electron neutrinos and antineutrinos during this extended accretion. As a consequence, the neutrino heating from electron neutrinos and antineutrinos is enhanced at later times. This is illustrated with Figure 6, which shows the contributions from electron neutrinos/antineutrinos (dEIDSA/dt) and from PUSH (dEpush/dt), as well as the total heating rate dEtot/dt for z31 (blue) and z30 (green). In the almost-failing models such as u24, u30, and z31 this extended heating leads to very marginal and delayed explosions (texpl ≳ 0.5 s). A delayed explosion time also means that some of the energy is deposited in layers that will be accreted later onto the PNS, which further reduces the final explosion energy. As long as the mass accretion and hence the high neutrino luminosities persist, the material above the PNS is being heated to temperatures ≳6 GK, sufficient for the synthesis of 56Ni. In models with delayed explosions, this is ∼0.1 M of material (a similar amount of 56Ni is synthesized in models with more canonical explosion energies around 1 B). In spherically symmetric models the accretion onto the PNS effectively shuts off when the explosion sets in irrevocably. In models with short explosion times, the accretion onto the PNS turns off early, allowing less material to be neutrino heated to temperatures high enough for the synthesis of 56Ni. In models that ultimately fail to explode, similar (or larger) amounts of mass are neutrino heated above 6 GK; however, all of this material eventually accretes on the central compact object.

Figure 6.

Figure 6. Heating rates from electron neutrinos (dashed–dotted line), heating rates from PUSH (dotted line), and total heating rates (solid line) for models z30 (green) and z31 (blue) as a function of the post-bounce time. The light-colored dashed lines denote the total energy deposited in the gain region. Vertical lines indicate different times during the simulations. The explosion time is set as the time when the shock goes beyond a radius of 500 km.

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Based on the low explosion energies, the delayed explosion times, and the fact that these models are directly next to BH-forming regions, we argue that they could easily experience sufficient fallback to transition into the failed SN branch of neutrino-driven SNe. We will discuss the effect the assumed collapse of the critical models has on the resulting distribution of the NS birth mass and BH birth mass in Section 6. Due to the large amount of synthesized 56Ni, the weakly exploding CCSNe could result in comparably bright events.

4. Nucleosynthesis Yields

In the previous section, we applied the "standard calibration" from Paper II to the u- and z-series, allowing us to predict explosion outcomes. In this section, we present and discuss the nucleosynthesis yields computed for all exploding models. These yields are available electronically as a machine-readable table (see Appendix B, Tables 5 and 6).

CCSNe make an important contribution to the iron-group elements. The iron-group elements are synthesized in the inner layers of the ejecta, which undergo either complete or incomplete silicon burning. The detailed nucleosynthesis pathways for all iron-group isotopes are discussed already in Paper III. The yields of these elements are quite sensitive to the conditions in these layers. The interaction of neutrinos with matter in these layers sets the local electron fraction Ye, which determines whether the nucleosynthesis takes place under proton-rich or neutrino-rich conditions. In our models, we consistently find a proton-rich (Ye > 0.5) environment (a few times 10−3 M) close to the mass cut, above the late neutron-rich wind. In these layers, some isotopes beyond iron can be formed through the νp-process (Fröhlich et al. 2006b). The late-time neutron-rich neutrino-driven wind ejecta is quite uncertain in our models. We use a mass resolution of 10−3 M for the nucleosynthesis post-processing. This is quite coarse for the neutrino-driven wind. In our models, the wind includes a couple of hundredths of a solar mass of material. The electron fraction can be quite low, and, in a few models, we see some production of elements up to mass number A ∼ 140. However, the conditions are not sufficient for a full r-process (Farouqi et al. 2010; Kratz et al. 2014), as discussed already in Paper I. A more detailed analysis of the conditions and nucleosynthesis in the late neutrino-driven wind is beyond the scope of this paper.

CCSNe also make significant contributions to the alpha-elements (16O, 20Ne, 24Mg, 28Si, 32S, 36Ar, 40Ca, 48Cr, 52Fe). These elements have contributions from hydrostatic and explosive burning. Intermediate-mass elements are primarily synthesized in explosive oxygen burning, which only reduces the overall oxygen yield by a small fraction. The majority of the oxygen–neon-rich layer does not reach high enough temperatures in the explosion to significantly alter the composition from its pre-explosion state.

The light elements (such as H, He, and C) depend on the details of stellar evolution (e.g., mixing) and the mass loss during the pre-explosion evolution. The abundances of these elements are essentially unaltered by the explosion.

Figures 7 (u-series) and 8 (z-series) show the final abundances after decay to stability for all exploding models as a function of the mass number A. In both series, we find a pronounced iron peak around A = 56 and high abundances of alpha-elements. There are some variations in the synthesis of elements beyond the iron peak between different models, depending on the exact Ye value in the innermost ejected layers.

Figure 7.

Figure 7. Final abundances after decay for all exploding models of the u-series (Z = 10−4Z) as a function of the mass number A.

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Figure 8.

Figure 8. Same as Figure 7, but for the z-series (Z = 0).

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4.1. Trends with Progenitor and Explosion Properties

Here we want to examine the yields of all models for trends with ZAMS mass and compactness of the pre-explosion models. As seen in Figure 3, we do not find a monotonic behavior of ejected 56Ni as a function of the ZAMS mass. However, we find a correlation of the symmetric (N = Z) isotopes 56Ni and 44Ti with compactness ξ2.0, as seen in the first and fourth panels of Figure 9. The correlation is similar for the u-series and z-series presented in this paper to that for the s-series and w-series presented in Paper III. When combining the results from all four sets of pre-explosion models, it becomes visible that the correlation has some width to it, which indicates that an exact one-to-one connection between compactness and 56Ni ejecta may not exist. Some of our models with the highest yields of ejected 44Ti are the almost-failing models with low explosion energy and high 56Ni yields discussed in Section 3.3. The asymmetric nickel isotopes 57Ni and 58Ni behave differently. The yields of these asymmetric isotopes strongly depend on small changes in the local Ye, with lower values of Ye favoring higher production of 57,58Ni (see second and third panels of Figure 9). The color-coding in Figure 9 denotes the electron fraction of the layers where each isotope is made. In Paper III, we found two (or more) branches of yields that independently correlate with compactness for the pre-explosion model sets at solar metallicity. The u-series and the z-series predominantly populate the branch with lower yields of the asymmetric 57,58Ni isotopes. For almost all models of the z-series, the final mass cut lies in layers with Ye ∼ 0.5, either in the Si layer but outside of the region with Ye < 0.5 or in the O-rich layer. The only exception is z15.0, where the mass cut is located in the inner parts of the Si-rich layer, where the pre-explosion Ye is lower (Ye ∼ 0.498). This allows for the ejection of slightly neutron-rich material where asymmetric isotopes such as 57,58Ni can be synthesized. In the u-series, only u11.0 and u12.0 are on the branch with higher yields of 57Ni. In these two models, the final mass cut is in the Si-rich layer where Ye ∼ 0.498, allowing for the synthesis of asymmetric nickel isotopes.

Figure 9.

Figure 9. Top two rows: isotopic yields of 56Ni (top left), 57Ni (top right), 58Ni (second row left), and 44Ti (second row right) after explosive processing as a function of compactness for all four sets of pre-explosion models: squares for the z-series (Z = 0), triangles for the u-series (Z = 10−4Z), circles for the s-series (Z = Z), and stars for the w-series (Z = Z). Bottom two rows: elemental yields of titanium (third row left), chromium (third row right), manganese (bottom left), and nickel (bottom right). The color-coding represents the average Ye value in the layers that made the highest contribution to the yield of each isotope shown.

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The elemental yields of the iron-group elements show similar trends (see bottom four panels of Figure 9). To understand these trends, we need to look at the isotopes from which the elemental yields originate. For example, elemental titanium is mainly synthesized as 48Cr (a symmetric isotope), and chromium is synthesized as 52Fe (also a symmetric isotope). Thus, the elemental yields of Ti and Cr, similar to 44Ti and 56Ni, show linear correlations with compactness, having experienced the highest temperatures and an alpha-rich freeze-out. Manganese is made as (asymmetric) 55Co, and stable nickel is dominated by 58Ni and 60Ni, which are made as 58Ni and 60Cu. Hence, the yields of elemental Mn and Ni strongly depend on the local Ye value. With the exception of z15.0, all models of the u-series and z-series result in low elemental Mn yields. Only u11.0, u12.0, u14.0, and z15.0 have relatively high elemental Ni yields (synthesized at relatively low Ye values).

In Section 3.3, we discussed explosion details of the models that do not follow the general correlation between explosion energy and 56Ni yields. Here we analyze the detailed nucleosynthesis yields of these models using the z31.0 model, which we compare to model z30.0 to illustrate the differences. Figures 10 and 11 show the post-explosion profiles of the innermost ∼1 M of ejecta above the mass cut. For z30.0 (a model that follows the general Eexpl56Ni trend) the mass cut resides inside the Si layer. The ejected 56Ni is explosively synthesized from 28Si. For z31.0 (an almost-failing model with low explosion energy and high Ni yields), the final mass cut is located farther from the center in the O-rich layer. Here, the ejected 56Ni originates from explosively processed 16O instead. However, the total amount of ejecta heated to temperatures above 6 GK (and hence resulting in 56Ni) is similar in z30.0 and z31.0. While z30.0 and z31.0 both have ejecta with similar peak electron fractions of Ye ∼ 0.515, the z31.0 model has some ejecta just above the mass cut with low enough Ye values that the 58Ni production is enhanced to approximately the same level as 57Ni. The yields of alpha-elements and iron-group elements are very similar between z30.0 and z31.0. Only beyond mass number A ≈ 80 are there some (small) differences in individual isotopes, but the overall abundance pattern is the same.

Figure 10.

Figure 10. Post-explosion composition profile for model z30.0 as a function of the mass coordinate. The dotted–dashed lines indicate the pre-explosion and the final electron fraction. The vertical dashed line indicates the mass cut.

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Figure 11.

Figure 11. Same as Figure 10, but for z31.0.

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4.2. Metallicity Dependence

We display in Figure 12 the abundances of selected stable isotopes (16O, 28Si, and 40Ca) and of three iron-group elements (Mn, Ni, Zn) for six different ZAMS masses to analyze their dependence on the initial metallicity of the pre-explosion model. The 16O is mainly produced in helium and neon burning and is expected to be mostly independent of the initial stellar metallicity. In our models, there is no trend of 16O abundance with initial metallicity. However, we find higher abundances of 16O for higher ZAMS mass owing to the overall larger stellar mass and larger CO core. The decrease in 16O yield for the s28.0 model is due to explosive O burning. Of the models shown, s28.0 is the only model with an extended layer consisting of a mixture of 16O and 28Si, which allows for 16O being explosively burned (the other models have a sharp transition from 28Si to 16O at the Si–O interface). For 28Si and 40Ca, we find weak trends with initial metallicity: For the higher ZAMS mass models, there are somewhat higher abundances of 28Si and 40Ca ejected. In the lower ZAMS mass models, our results do not exhibit any metallicity dependence in those abundances. The yields of iron-group elements, such as Ni, are more sensitive to the details of the explosion, as they are synthesized during explosive burning in the innermost ejecta. The yields of symmetric iron-group nuclei depend mostly on the explosion strength and hence the local peak temperature. For odd-Z elements, the final abundances are also quite sensitive to the local Ye-values, as previously discussed. With very few exceptions, all models of the z-, u-, and s-series only synthesize a very low abundance of Mn. As discussed in Paper III, the small nuclear network used for modeling the pre-explosion evolution artificially keeps the Ye closer to 0.5, which is not favorable for the production of Mn. As expected, the Ni yields are mostly independent of the initial metallicity. The higher yields of Ni (and also of other iron-group elements) in some of the solar-metallicity models (e.g., s28.0 and s30.0) are due to these models having larger explosion energies than their low/zero-metallicity counterparts. In our models, zinc is synthesized as 64Zn in layers with Ye > 0.5 and as neutron-rich isotopes of Zn in neutron-rich layers close to the mass cut. The final abundances of Zn are very sensitive to the amount of proton-rich and neutron-rich ejecta, which depends on the explosion strength, the neutrino/antineutrino luminosities, the local Ye, and the location of the mass cut. Our models span a range of conditions that is reflected in the range of Zn yields we obtain. We do not find any clear trends with metallicity or with ZAMS mass.

Figure 12.

Figure 12. Abundances of 16O, 28Si, and 40Ca (left column) and elemental Mn, Ni, and Zn (right column) as a function of the initial metallicity for models of different ZAMS masses in M.

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5. Comparison with Observations

5.1. The Supernova Landscape

First, we compare our simulations to observations of CCSNe. In the top panel of Figure 13 we show the explodability for the progenitors in our sample in comparison with observed explosion energies (black crosses). The observational data shown are the same as in Paper II, complemented with the sample of Müller et al. (2017). Note that the observed SNe are in the local universe (redshift z < 0.01). Hence, we do not expect a perfect agreement of the models from low- and zero-metallicity progenitors with the observational data. Nevertheless, including the observational data in the figure is useful to identify general trends. The overall trend in explosion energy is very similar to what we found for pre-explosion models at solar metallicity (see Paper II). The explosion energies for both sets (u and z) increase from lower values for low-mass progenitors ("Crab-like SNe") to explosions with energies Eexpl ≈ 0.8–1.6 B between 15 and 21 M. We find the strongest explosions around 15 M for the u-series and at slightly higher masses around 17 M for the z-series. For ZAMS masses above 20 M we find predominantly BHs (denoted by short vertical lines along the bottom axis), interspersed with some explosions. As expected from the higher compactness values, we find more failed explosions and BHs, and overall lower explosion energies, for a given ZAMS mass (especially for ZAMS masses >25 M) at low and zero metallicity compared to solar metallicity. As already seen in Figure 1, the compactness curves for the four sets of progenitors are quite similar in shape. The only big difference is a shift of the peak compactness values in the u-series to lower ZAMS masses when compared to the other three series. From this we expect quite similar behaviors from the four series, only with a shift of the peak explosion energies to slightly lower ZAMS masses for the u-series, as seen in Figure 13.

Figure 13.

Figure 13. Top: explosion energies as a function of ZAMS mass for observed SNe (black crosses with error bars taken from Paper II) and our simulations (red squares for z-series; yellow triangles for u-series) using the standard calibration. The vertical dashes at the bottom of the figure indicate masses for which a BH was formed. Bottom: ejected 56Ni masses as a function of explosion energy from our simulations (color symbols) and from observations (black crosses are from Paper II; gray crosses are from Müller et al. 2017; the labels "a" and "b" denote the two different energy determinations given in Müller et al. 2017). The lines are the corresponding fits to the data given in Müller et al. (2017).

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In the bottom panel of Figure 13 we show the resulting 56Ni yields against the corresponding explosion energies. When comparing the 56Ni yields from our simulations with observations, we find that most models agree well with observations (as in the case of solar-metallicity models). We find that the amount of 56Ni increases with ZAMS mass up to ∼15 M and then remains roughly constant, similar to our findings in Paper III. The almost-failing models with 56Ni yields of ∼0.1 M and with very low explosion energies (<0.5 B) discussed in Section 3.3 can be seen above and to the left of the observational data. It is worth reminding the reader that the 56Ni (and the iron group in general) is synthesized from completely dissociated material after shock passage. Hence, the initial metallicity does not directly impact the yield of 56Ni (and other iron-group nuclei). The lower observed explosion energies and 56Ni ejecta masses originate from progenitors at or below 10 M ZAMS mass, which are not included in our samples.

5.2. Metal-poor Stars

Next, we compare our predicted yields with the observationally derived abundances in metal-poor stars. The atmospheres of these low-mass, long-lived, metal-poor stars carry the signature of one or a few previously exploded CCSNe from massive stars that deposited their yields in the interstellar medium. The iron-group elements are of particular interest to test our CCSN nucleosynthesis predictions, as they are made in primary explosive nucleosynthesis processes. In Figure 14 we compare our predictions for iron-group elements with the abundances of metal-poor star HD 84937 (z-series in the top panel; u-series in the bottom panel). The abundances of this metal-poor star have recently been determined using improved laboratory data for neutral and singly ionized transitions in iron-group elements (Sneden et al. 2016). Each transparent square represents one of our models. Our results are not weighted with an initial mass function (IMF) to illustrate how sensitive or robust the results for each element are. The triangles indicate the observational data (neutral and singly ionized species). Overall, we find a good agreement between our predictions and the observational data. We do not find significant differences between the u-series and the z-series. Scandium and zinc are synthesized at levels comparable to the observed values of [Sc/Fe] and [Zn/Fe], respectively. Both elements are difficult to produce in sufficient amounts in traditional piston and thermal bomb nucleosynthesis calculations that neglect the neutrino interactions and employ a canonical explosion energy of 1051 erg. Enhanced explosion energies, such as in hypernovae, lead to enhanced production of Sc and Zn, even without the inclusion of neutrino interactions (Nomoto et al. 2006). A careful treatment of the neutrino interactions robustly leads to enhanced production of Sc and Zn already at canonical explosion energies (Fröhlich et al. 2006a). Our models (u-series and z-series) co-produce Zn with Fe. We find a smaller spread of [Zn/Fe] values in the u-series and z-series as at solar metallicity (top panel of Figure 9 in Paper III). As in the case of the s-series, we find that [Mn/Fe] is significantly lower than the observations in both the u- and the z-series. We attribute this to the relatively small network used in the pre-explosion models of WHW02 at all metallicities, which results in Ye values of ∼0.4995 in the relevant layers. As discussed above, the production of manganese is quite sensitive to the local Ye value. Hence, a Ye value of ∼0.4995 yields small amounts of manganese. The pre-explosion models of the w-series employ a much larger network during the stellar evolution phase, which results in a somewhat lower final Ye (∼0.4992) and hence larger values of [Mn/Fe]; see Paper III for details.

Figure 14.

Figure 14. Abundances of iron-group elements: observationally derived abundances for metal-poor star HD 84937 (triangles), together with our results (z-series in the top panel, u-series in the bottom panel).

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6. Remnant Properties

In this section we present and discuss the mass distribution of the compact remnants formed in our CCSN study. In addition to explosion energies, total ejecta mass, and elemental yields, remnant properties represent complementary observables that we can compare our results to. The simulation setup and the procedure to compute the mass distributions are the same as in Paper II. We follow the full evolution of the PNS and obtain the baryonic mass of the freshly born hot NS. We then compute the corresponding zero-temperature gravitational mass of the NS using the HS(DD2) nuclear EOS. We obtain the distributions of the birth masses by weighting the predicted remnant masses as a function of ZAMS mass with the IMF of massive stars from Salpeter (1955). This IMF is suitable for the mass range (M > 10 M) of this study.

We show the predicted gravitational birth-mass distribution of cool NSs for the u- and z-series for the standard calibration in Figure 15 (left column). The pre-explosion models have masses between 11 and 40 M (see Table 1). The predicted NS masses are in the range between 1.3 and 1.8 M. Different ranges of ZAMS masses of the pre-explosion models that contribute to the distributions are indicated by different colors. In general, the higher ZAMS masses result in higher NS masses. The NS mass range around 1.4 M is mainly populated by pre-explosion models in the mass range from 11 to 15 M. The NS distribution above 1.4 M mainly originates from the ZAMS mass models above 15 M.

Figure 15.

Figure 15. Gravitational birth-mass distributions of cold NSs for u-series (top panel) and z-series (bottom panel) for the standard calibration (left column) and the second calibration (right column). The colors indicate different ranges of ZAMS masses of the pre-explosion models that contribute to the distribution.

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The main difference between the u- and z-series is how many models contribute to the higher NS masses around ∼1.6 M. In the u-series we find some models contributing to the higher NS masses, whereas in the z-series typically these higher ZAMS mass models collapse to BHs and hence do not contribute to the NS distribution. As in our previous study of the solar-metallicity samples in Paper II, the predicted NS distributions are slightly shifted to higher masses when compared to observed NS distributions (Özel et al. 2012). This is due to the lack of low-mass pre-explosion models (M < 11 M) in the u- and z-series. Lower-mass models are expected to produce lighter NSs. Due to their weighting in the applied IMF, these missing pre-explosion models should considerably contribute to the overall distribution of NS masses and should shift the lower limit of the NS mass distribution. Note that the presented birth-mass distributions correspond to the outcome of single-star systems, and we do not consider possible effects that are present in binary-star systems (e.g., accretion or mass loss). A potential difficulty in comparing theoretically predicted NS masses with observed NS masses is that the precision measurements of NS masses are from binary systems. However, Raithel et al. (2018) argue that such a comparison is still meaningful since the single-star models can be interpreted to be representative of some close binary scenarios owing to the uncertain nature of mass loss.

The predicted NS birth-mass distributions for the second calibration are more localized around 1.4 M and have an upper mass limit of M ≈ 1.6 M, which is lower than for the standard calibration, as can be seen in Figure 15. Pre-explosion models in higher ZAMS mass regions more often collapse to BHs (see below) and do not contribute to the NS birth-mass distributions for this calibration.

If we assume that the almost-failing SNe discussed in Section 3.3 actually fail to explode and instead form a BH, the NS birth-mass distribution we obtain would almost exclude gravitational birth masses above 1.6 M for nonaccreting single-star systems at low metallicity. If we further assume that also the u20, which has a delayed explosion, will fail to explode, then the mass range above 1.6 M is excluded from nonaccreting single-star systems at low metallicity.

Now we turn to the predicted BH birth-mass distributions from our simulations. In the PUSH framework, CCSN simulations that run longer than the time on which PUSH is active and ultimately do not explode, as well as the simulations that directly lead to the formation of a BH, contribute to the predicted BH birth-mass distribution. The mass of the BH formed in failed CCSN explosions depends on the stellar mass at collapse, which is affected by the star's mass-loss history. In addition to mass loss, other processes such as the loss of the PNS binding energy in a weak shock (Lovegrove & Woosley 2013) or the stripping of the envelope by a binary companion before collapse may affect the mass ultimately collapsing to a BH. To investigate the impact of these scenarios on the BH mass distribution, we consider three cases that span the range of outcomes. The most massive BHs for a given ZAMS mass are formed when the entire stellar mass at the onset of collapse ultimately ends up in the BH. The smallest BH masses for a given ZAMS are the results of a fully stripped CO core collapsing to a BH. We also consider an intermediate case where only the hydrogen envelope is stripped, leaving the He core to collapse to a BH.

In our simulations, we find continuous regions of BH formation above 31 and 32 M for the u- and z-series, respectively. We also find an isolated region of BH formation around 21–23 M (u-series) or 24–26 M (z-series). In Figure 16 (left column) we show the predicted BH birth-mass distributions for the standard calibration, obtained by weighting the BH masses obtained in our simulations with the Salpeter IMF. Different shaded regions represent the three cases of mass stripping the star may have experienced prior to forming a BH. Depending on the degree of mass stripping, the predicted BH birth-mass distributions range from 5 to 14 M if only the bare carbon core collapses to 21–40 M if the entire final stellar mass collapses to a BH. In contrast to the pre-explosion models at solar metallicity, those at low and zero metallicity do not experience much mass loss during their pre-SN evolution, and as a result their final mass at collapse can be similar to their initial ZAMS mass. This means that BHs as heavy as ∼40 M could be formed in our low- and zero-metallicity samples (see Figure 2). Note that the z-series does not include pre-explosion models with masses beyond 40 M. All u-series models above 40 M that are included in our study led to BH formation.

Figure 16.

Figure 16. Birth-mass distributions of BHs for u-series (top panels) and z-series (bottom panels) for the standard calibration (left column) and the second calibration (right column). The different shaded bars indicate three different cases of possible BH mass distributions depending on how much of the initial stellar mass ultimately contributes to the final BH mass.

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For the second calibration considerably more BHs are formed (see Figures 4 and 16). This shifts the resulting BH birth-mass distribution to lower BH masses. The BH birth-mass distributions resulting from stripped CO cores have an upper mass limit of ∼14 M (similar to the standard calibration) and populate almost all masses between 3 and 14 M. The distributions from the case where only the hydrogen envelope is stripped, and hence the He core mass determines the BH mass, span a range between 4 and 17 M. The most massive BHs (of the order of the initial ZAMS masses of the collapsing stars) are obtained in the case where the entire pre-explosion stellar mass forms the BH. In this case, the BH birth-mass distribution is not continuous in mass because the ZAMS mass range of models forming BHs is also not continuous.

Next, we compute and present the fraction of stars that ultimately form BHs for all four samples of pre-explosion models and for both calibrations. Following Paper II, we consider a mass range from 8 to 150 M for the estimate, assume that stars between 8 M and the lowest ZAMS mass in each pre-explosion series successfully explode and leave behind an NS as a remnant, and assume that the fate of the star with the highest ZAMS mass of each series is continued to 150 M. For our estimate we use again the Salpeter IMF. In Table 2 we summarize the predictions for all series and both calibrations. Furthermore, we also include the fraction of mass from the CCSN progenitors that ultimately ends up in the BHs. We list the values for the case that the full pre-explosion models collapse to BHs and the values for the case that only the CO cores contribute to the BH mass.

Table 2.  Fraction of Core Collapses Forming BHs and Fraction of Initial Stellar Mass of Massive Stars Bound in BHs for the Standard Calibration (I) and the "Second Calibration" (II)

Series Metallicity Calibration BH Fraction Fraction of Mass
  Z/Z     Bound in BH
z 0 I ∼18% ∼16%–45%
u 10−4 I ∼20% ∼18%–48%
s 1 I ∼5% ∼1%–3%
w 1 I ∼8% ∼5%–6%
z 0 II ∼27% ∼18%–55%
u 10−4 II ∼32% ∼22%–61%
s 1 II ∼16% ∼4%–7%
w 1 II ∼21% ∼8%–14%

Note. The range of the mass fraction bound in BHs indicates the three cases also shown in Figure 16.

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7. Summary and Discussion

In this paper, we have simulated the death of two series of pre-SN models either as successful CCSN explosion or as the collapse to a BH, and for the successful explosion we have computed the detailed nucleosynthesis yields. The pre-SN models represent massive stars at low initial metallicity (Z = 10−4 Z) and zero initial metallicity (Z = 0). We have used the PUSH method, which was first introduced in Perego et al. (2015), together with the standard calibration obtained in Ebinger et al. (2019). The work presented here complements the results obtained for pre-SN models at solar metallicity presented in Ebinger et al. (2019) and Curtis et al. (2019).

The main findings of our study are as follows:

  • 1.  
    As a whole, the resulting explosion energies for the low- and zero-metallicity pre-SN models are in agreement with observations of CCSNe. The results of the two series are similar, and they are also very similar to our results obtained with the same method for pre-SN models at solar metallicity. As in our earlier works, we find that models with lower compactness tend to explode early, with lower explosion energy and a lower remnant mass. A similar conclusion has recently been found by Burrows et al. (2020) using 3D models.
  • 2.  
    The pre-SN model series at low and zero metallicity are more prone to BH formation than those at solar metallicity. In addition, we find a few almost-failing models at low/zero metallicity, which exhibit very low explosion energies, together with ∼0.1 M of 56Ni. These models are located next to regions of BH formation and experience extended periods of mass accretion until the explosion finally sets in late. Unlike all other models, the almost-failing SNe do not follow the observed 56Ni–Eexpl relationship.
  • 3.  
    We have shown and discussed that the compactness allows us to infer some interesting explosion properties; however, it does not tell the full story, as already found in Ebinger et al. (2019). In particular, we found a monotonic correlation between the compactness and the remnant mass of the exploding models. For models with compactness above ∼0.3 we identify two branches of explosion energies, corresponding to models of similar compactness but located to either side of the peak in compactness (see Figure 1).
  • 4.  
    We find the same trends with compactness for iron-group isotopes and elements for the low/zero-metallicity pre-SN series of this work as for the pre-SN series at solar metallicity discussed in Curtis et al. (2019). For symmetric isotopes (e.g., 56Ni and 44Ti) and iron-group elements (e.g., Ni and Cr) dominated by symmetric isotopes the yields exhibit linear trends with compactness. For asymmetric isotopes (e.g., 57Ni and 58Ni) and elements dominated by asymmetric isotopes (e.g., Mn) the yields depend more strongly on the local electron fraction, which measures the neutron excess.
  • 5.  
    We combined the predicted yields from the low- and zero-metallicity models with those from the models at solar metallicity and analyzed the metallicity dependence of the yields. For alpha-elements that have significant contributions from pre-explosion hydrostatic burning we find almost no metallicity dependence. However, the oxygen yields have a strong dependence on the CO core mass and hence the ZAMS mass. For iron-group elements, the local electron fraction and the location of the mass cut affect the yields more strongly than the initial stellar metallicity. Machine-readable tables of all yields are included in this paper.
  • 6.  
    We compare our results for iron-group nuclei to observationally derived abundances of a metal-poor star. Overall, we find a good agreement. We find large variations between models for some elements (e.g., Sc and Zn). Mn is underproduced in all our models.
  • 7.  
    The predicted NS masses are broadly consistent with observations, as was the case for series at solar metallicity in Ebinger et al. (2019). For the low/zero-metallicity pre-SN samples, we find BH masses up to 40 M, which provides a potential explanation for the BHs observed with LIGO/VIRGO. If we assume that the almost-failing SNe do not explode, we exclude NS masses above 1.6 M. This is similar to the findings in Raithel et al. (2018), where they do not find any NS masses with m > 1.7 M from the simulations presented in Sukhbold et al. (2016).
  • 8.  
    We calculated the fraction of BHs and the fraction of mass ultimately bound in BHs for all four series of pre-explosion models. The fraction of mass that could ultimately be bound in BHs can be as high as ∼45%–48% for the low/zero-metallicity samples when using the standard calibration (∼55%–61% for the second calibration). For the samples at solar metallicity, the mass fraction in BHs is considerably smaller.

The work at NC State was supported by United States Department of Energy, Office of Science, Office of Nuclear Physics (award No. DE-FG02-02ER41216). The effort at the Universität Basel was supported by the Schweizerischer Nationalfond and by the ERC Advanced grant "FISH." This work has benefited from the "ChETEC" COST Action (CA16117), supported by COST (European Cooperation in Science and Technology). K.E. acknowledges the support from GSI and from the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), SFB 1245. A.P. acknowledges supports from the INFN project "High Performance data Network" funded by the Italian CIPE.

Software: Agile Liebendörfer et al. (2001), CFNET Fröhlich et al. (2006a), Matplotlib Hunter (2007).

Appendix A: Tables of Explosion Properties

The explosion properties obtained from the standard PUSH calibration for the u- and z-series (see Figure 3) are provided as machine-readable tables. Only the exploding models are included in the tables. Parts of the tables of the u-series and z-series are shown here for guidance regarding their form and content (see Tables 3 and 4). The tables are published in machine-readable format.

Table 3.  Explosion Properties for the u-series

MZAMS Mcollapse Eexpl texpl ${M}_{{}^{56}\mathrm{Ni}}$ Mremn
(M) (M) (B) (s) (M) (M)
11.0 11.00 0.75 0.51 4.30E−02 1.51
12.0 12.00 1.13 0.44 6.10E−02 1.56

Only a portion of this table is shown here to demonstrate its form and content. A machine-readable version of the full table is available.

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Table 4.  Explosion Properties for the z-series

MZAMS Mcollapse Eexpl texpl ${M}_{{}^{56}\mathrm{Ni}}$ Mremn
(M) (M) (B) (s) (M) (M)
11.0 11.00 0.50 0.49 2.02E−02 1.50
12.0 12.00 0.49 0.46 2.64E−02 1.41

Only a portion of this table is shown here to demonstrate its form and content. A machine-readable version of the full table is available.

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Appendix B: Tables of Complete Isotopic Yields

Tables 5 and 6 give the detailed isotopic composition of the post-processed ejecta and the total amount of post-processed ejecta for all exploding models of the u- and z-series.8

Table 5.  Isotopic Yields of Stable Isotopes in M for the u-series

Isotope Integrated Processed Yields for Model
  u11.0 u12.0 u13.0 u14.0 u15.0 u16.0 u17.0 u18.0 u19.0 u20.0 u21.0
(-) (M) (M) (M) (M) (M) (M) (M) (M) (M) (M) (M)
1H 9.47E−05 1.24E−04 1.56E−04 2.00E−04 1.72E−04 2.16E−04 2.00E−04 1.17E−04 1.24E−04 1.99E−04 1.27E−04
2H 1.53E−07 1.47E−07 1.87E−07 1.84E−07 1.13E−07 1.61E−07 1.42E−17 1.21E−07 9.46E−08 2.35E−08 1.39E−14
3He 1.85E−09 1.78E−09 2.27E−09 2.24E−09 1.36E−09 1.93E−09 1.85E−12 1.46E−09 1.14E−09 2.81E−10 1.13E−14
4He 1.15E−02 1.55E−02 1.89E−02 2.21E−02 1.87E−02 2.46E−02 1.36E−02 1.30E−02 1.31E−02 2.04E−02 1.69E−02
6Li 5.42E−15 4.33E−19 2.41E−19 1.39E−19 2.18E−19 4.41E−19 3.45E−19 3.09E−19 3.31E−19 5.51E−19 2.93E−16
7Li 3.92E−11 5.15E−11 6.22E−11 9.06E−11 4.86E−11 5.82E−11 3.82E−11 2.77E−11 2.37E−11 1.47E−11 1.98E−12
9Be 1.52E−13 1.85E−13 2.55E−13 2.93E−13 3.11E−13 5.64E−13 1.96E−20 2.23E−13 2.03E−13 2.43E−13 8.30E−24
10B 3.37E−13 3.67E−13 4.85E−13 5.45E−13 6.69E−13 1.29E−12 9.80E−17 4.37E−13 4.27E−13 5.99E−13 1.99E−15
11B 2.13E−11 2.48E−11 3.04E−11 4.27E−11 2.44E−11 2.97E−11 1.22E−11 1.11E−11 9.48E−12 8.93E−12 1.38E−12
12C 4.85E−04 1.07E−03 3.58E−03 4.78E−03 1.06E−03 3.75E−03 3.89E−04 9.25E−04 5.15E−04 4.68E−03 2.67E−03
13C 4.40E−10 6.91E−10 1.59E−09 1.25E−09 8.63E−10 9.93E−10 6.62E−10 4.94E−10 4.95E−10 7.69E−10 5.44E−10
14N 7.65E−09 6.85E−09 2.25E−08 2.87E−08 8.02E−09 2.45E−08 8.38E−09 5.97E−09 6.11E−09 3.55E−08 9.95E−09
15N 3.52E−08 5.95E−08 8.15E−08 9.92E−08 4.92E−08 1.32E−07 2.90E−08 2.16E−08 2.21E−08 1.44E−07 4.23E−08
16O 1.42E−01 2.15E−01 2.33E−01 3.11E−01 3.49E−01 4.85E−01 2.53E−01 2.76E−01 3.09E−01 5.08E−01 6.64E−01
17O 4.02E−09 4.50E−09 6.13E−09 6.23E−09 7.14E−09 6.51E−09 6.75E−09 5.36E−09 5.37E−09 8.21E−09 7.34E−09
18O 9.46E−10 1.04E−09 1.25E−09 1.17E−09 8.86E−10 7.70E−10 1.07E−09 6.17E−10 6.33E−10 3.41E−10 2.14E−10
19F 1.15E−09 2.03E−10 5.54E−10 1.54E−10 1.66E−10 5.95E−11 2.38E−10 3.92E−11 4.08E−11 3.81E−11 1.35E−09
20Ne 2.74E−02 3.68E−02 3.53E−02 4.65E−02 3.22E−02 6.14E−02 2.53E−04 2.52E−03 1.23E−03 6.59E−02 2.07E−02
21Ne 1.82E−08 1.90E−08 1.66E−07 2.77E−07 9.06E−09 2.02E−07 5.12E−10 1.28E−09 6.87E−10 3.92E−07 1.61E−08
22Ne 9.75E−07 9.28E−07 2.26E−06 2.37E−06 2.61E−06 2.09E−06 1.08E−06 7.30E−07 7.61E−07 1.07E−06 2.12E−07

Note. The amount of mass above the mass cut that reaches temperatures >1.75 GK and hence has been post-processed with the nuclear reaction network for each model is 1.799 M (u11), 1.989 M (u12), 2.128 M (u13), 2.278 M (u14), 2.287 M (u15), 2.663 M (u16), 2.061 M (u17), 2.093 M (u18), 2.122 M (u19), 2.988 M (u20), 3.195 M (u24), 2.638 M (u25), 3.118 M (u26), 3.171 M (u27), 3.277 M (u28), and 3.065 M (u30).

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Table 6.  Isotopic Yields of Stable Isotopes in M for the z-series

Isotope Integrated Processed Yields for Model
  z11.0 z12.0 z13.0 z14.0 z15.0 z16.0 z17.0 z18.0 z19.0 z20.0 z24.0
(-) (M) (M) (M) (M) (M) (M) (M) (M) (M) (M) (M)
1H 5.97E−05 9.21E−05 1.10E−04 1.41E−04 1.35E−04 1.55E−04 2.22E−04 2.08E−04 1.98E−04 2.04E−04 1.66E−04
2H 8.54E−08 2.83E−13 1.70E−07 2.45E−07 1.37E−07 1.13E−07 1.97E−07 1.13E−07 7.91E−08 9.29E−08 1.06E−07
3He 1.02E−09 5.23E−12 2.06E−09 3.00E−09 1.65E−09 1.36E−09 2.36E−09 1.35E−09 9.50E−10 1.12E−09 1.28E−09
4He 7.90E−03 7.94E−03 1.11E−02 1.41E−02 1.38E−02 1.30E−02 2.47E−02 2.42E−02 1.61E−02 1.62E−02 1.37E−02
6Li 4.53E−18 6.80E−15 9.39E−19 5.50E−19 2.37E−19 5.74E−19 3.65E−19 4.56E−19 2.55E−19 2.21E−19 2.77E−19
7Li 3.46E−11 5.24E−11 3.80E−11 5.01E−11 5.44E−11 5.31E−11 6.98E−11 5.21E−11 2.80E−11 4.07E−11 3.78E−11
 9Be 3.66E−13 6.03E−20 2.38E−13 2.49E−13 1.98E−13 3.13E−13 5.87E−13 4.93E−13 2.10E−13 2.08E−13 1.80E−13
10B 9.05E−13 3.05E−14 4.72E−13 4.21E−13 3.89E−13 6.83E−13 1.29E−12 1.13E−12 4.60E−13 4.37E−13 3.63E−13
11B 1.48E−11 2.23E−11 1.92E−11 2.52E−11 2.44E−11 2.00E−11 3.57E−11 2.65E−11 1.13E−11 1.64E−11 1.46E−11
12C 3.13E−03 1.34E−03 1.02E−03 1.24E−03 1.80E−03 2.22E−03 3.89E−03 6.80E−03 5.70E−03 2.24E−03 3.57E−03
13C 6.65E−10 6.63E−10 8.46E−10 1.18E−09 2.00E−10 9.58E−10 1.05E−09 8.14E−10 1.03E−09 6.38E−10 9.53E−10
14N 1.66E−08 1.09E−08 8.11E−09 8.42E−09 1.07E−08 1.42E−08 2.04E−08 4.34E−08 2.65E−08 1.22E−08 1.67E−08
15N 2.76E−08 2.65E−08 4.10E−08 4.16E−08 7.78E−08 9.01E−08 1.32E−07 2.04E−07 2.75E−08 5.96E−08 2.19E−08
16O 5.25E−02 5.34E−02 1.22E−01 1.84E−01 1.68E−01 1.78E−01 3.92E−01 4.87E−01 3.13E−01 3.09E−01 1.67E−01
17O 2.99E−09 5.71E−09 5.54E−09 6.10E−09 5.35E−09 5.47E−09 7.14E−09 6.94E−09 6.58E−09 7.22E−09 7.10E−09
18O 1.12E−09 2.04E−09 1.34E−09 1.29E−09 9.61E−10 1.16E−09 9.40E−10 7.13E−10 6.31E−10 7.61E−10 9.17E−10
19F 3.74E−08 5.33E−10 5.75E−11 2.54E−10 4.44E−11 2.08E−09 9.67E−11 5.08E−11 4.23E−11 5.12E−11 4.14E−11
20Ne 1.16E−02 1.83E−02 2.62E−02 2.02E−02 4.51E−02 4.74E−02 6.78E−02 1.03E−01 7.72E−02 8.27E−02 4.67E−02
21Ne 1.31E−07 1.04E−07 1.19E−08 1.21E−08 5.18E−08 8.32E−08 1.32E−07 5.71E−07 5.68E−07 7.21E−08 2.84E−07
22Ne 1.15E−06 1.02E−06 4.89E−07 9.95E−07 7.32E−07 1.37E−06 2.21E−06 2.88E−06 2.22E−06 1.10E−06 1.18E−06

Note. The amount of mass above the mass cut that reaches temperatures > 1.75 GK and hence has been post-processed with the nuclear reaction network for each model is 1.627 M (z11), 1.583 M (z12), 1.792 M (z13), 1.951 M (z14), 1.887 M (z15), 1.902 M (z16), 2.547 M (z17), 2.745 M (z18), 2.461 M (z19), 2.332 M (z20), 2.042 M (z21), 2.118 M (z22), 2.565 M (z23), 3.170 M (z27), 2.967 M (z28), 2.631 M (z29), 2.775 M (z30), and 3.041 M (z31).

Only a portion of this table is shown here to demonstrate its form and content. A machine-readable version of the full table is available.

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Footnotes

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10.3847/1538-4357/ab5dcb