Beta decay of the exotic = -2 nuclei Fe, Ni and Zn
The results of a study of the beta decays of three proton-rich nuclei with , namely Fe, Ni and Zn, produced in an experiment carried out at GANIL, are reported. In all three cases we have extracted the half-lives and the total -delayed proton emission branching ratios. We have measured the individual -delayed protons and -delayed rays and the branching ratios of the corresponding levels. Decay schemes have been determined for the three nuclei, and new energy levels are identified in the daughter nuclei. Competition between -delayed protons and rays is observed in the de-excitation of the Isobaric Analogue States in all three cases. Absolute Fermi and Gamow-Teller transition strengths have been determined. The mass excesses of the nuclei under study have been deduced. In addition, we discuss in detail the data analysis taking as a test case Zn, where the exotic -delayed -proton decay has been observed.
pacs:23.40.-s, 23.50.+z, 21.10.-k, 27.40.+z,
The investigation of nuclear structure far from the valley of nuclear stability is a topic of the utmost importance in contemporary nuclear physics. The experimental challenge of exploring this demands and has driven the construction of a new generation of facilities for the production and acceleration of radioactive ion beams. Following the steady improvement in the range of beams available and their intensities, more and more proton-rich nuclei can be produced up to the proton drip-line, enabling one to perform detailed decay studies and explore new and exotic decay modes Blank and Borge (2008).
Beta-decay spectroscopy is a powerful tool to investigate the structure of exotic nuclei. Beta decay is a weak interaction process mediated by the well-understood and operators, responsible for the observed Fermi (F) and Gamow-Teller (GT) transitions, respectively. It provides direct access to the absolute values of the corresponding transition strengths, (F) and (GT).
The GT transitions are characterized by an angular momentum transfer and spin-isospin flip ( and ). For F transitions and . Due to the simple nature of the operator, the GT transitions are an important tool for the study of nuclear structure Bohr and Mottelson (1969); Osterfeld (1992); Rubio and Gelletly (2009); Fujita et al. (2011), providing information on the overlap between the wave-functions of the parent ground state and the states populated in the daughter nucleus. Moreover, they play an important role in nuclear astrophysics, especially in stellar evolution, supernovae explosions and nucleosynthesis Langanke and Martínez-Pinedo (2003). Since many heavy proton-rich elements are produced in the -process passing through proton-rich -shell nuclei, the study of GT transitions starting from unstable proton-rich nuclei is also of crucial importance. Our knowledge of GT transitions when approaching the proton drip-line is still rather incomplete Langanke and Martínez-Pinedo (2003), however, because the production of such nuclei becomes steadily more challenging.
Normally in proton-rich nuclei proton decay is expected to dominate above the proton separation energy. In this context, proton-rich nuclei with the third component of isospin are of particular interest because their decay may present peculiarities related to the competition between -delayed protons and -delayed rays Orrigo et al. (2014a); Dossat et al. (2007). Moreover recently a rare and exotic decay mode, the -delayed -proton decay, has been observed for the first time in the -shell in the decay of Zn Orrigo et al. (2014a).
In this paper we present the results of a study of the decay of the nuclei Fe, Ni and Zn. The analysis of the data is described in detail using the Zn case as an example, expanding on some of the procedures already presented in Ref. Orrigo et al. (2014a).
The paper is organized as follows. Section II describes the experiment performed at GANIL. Section III describes the data analysis procedures. Section IV presents the experimental results for the decays of Fe, Ni and Zn. The determination of the mass excesses of the nuclei under study is addressed in Section V. Finally, Section VI gives our conclusions.
Ii Experimental set-up
The experiment to study the decay of Fe, Ni and Zn was performed at the LISE3 facility of GANIL (France) Anne and Mueller (1992). A Ni primary beam, with an average intensity of 3.7 eA, was accelerated to 74.5 MeV/nucleon and fragmented on a natural Ni target, 200 m thick. The LISE3 separator Anne and Mueller (1992) was used to select the fragments, which were implanted at a rate of approximately 200 ions/s into a Double-Sided Silicon Strip Detector (DSSSD) of 300 m thickness. The DSSSD had 16 X and 16 Y strips with a pitch of 3 mm, defining 256 pixels. Two parallel electronic chains were used having different gains to detect both the implanted heavy-ions and subsequent charged-particle (betas and protons) decays. The DSSSD was surrounded by four EXOGAM Ge clovers Simpson et al. (2000) used to detect the -delayed rays.
The experiment was focused on the study of some proton-rich nuclei. The energy of the Ni beam was optimized to implant Zn close to the middle of the DSSSD. Data were also taken by optimizing on Fe to increase the statistics for this ion. Further data were also recorded by focusing on the , Zn nucleus, of astrophysics interest since it constitutes a waiting point in the -process. The results from this dataset were used for comparison with a previous experiment and to estimate the detection efficiency in the DSSSD.
The Time-of-Flight (ToF) of the selected ions was defined as the time difference between the cyclotron radio-frequency and the signal they generated in a silicon detector located 28 cm upstream from the DSSSD. Simultaneous signals from both the detector and the DSSSD defined an implantation event. The implanted ions were identified by combining the energy loss signal in the detector and the ToF. An example of the two-dimensional identification matrix obtained for the setting focused on Zn is shown in Fig. 1, where the positions of the nuclei Fe, Ni and Zn are indicated. The identification matrix obtained for the dataset optimized for Fe is shown in Fig. 2, where the positions of Fe and Ni are indicated. A signal above threshold (typically 50-90 keV) in the DSSSD and no coincident signal in the detector defined a decay event.
Iii Data analysis
The present section describes the analysis of the data related to the decays of Fe, Ni and Zn. Here we also expand on some of the details already presented in Ref. Orrigo et al. (2014a). The Zn case is used as an example for the discussion. The Fe and Ni cases were analyzed following the same procedure; differences are also discussed.
iii.1 Time correlations
In decay spectroscopy experiments performed with a continuous beam, no unequivocal correlation between a given implantation event and its corresponding decay event can be established Dossat et al. (2007). A widely-used approach Dossat et al. (2007); Orrigo et al. (2014a); Molina et al. (2015) is to construct the correlations in time between all implantations and decay events. To this end, the 256 pixels of the DSSSD can be used as independent detectors. The is defined as the time difference between a decay event in a given pixel of the DSSSD and any implantation signal that occurred before or after it in the same pixel that satisfied the conditions required to identify the nuclear species. The correlation condition is , where is a chosen period of time. This means that a given decay event will be correlated with all the implantations happening in the same pixel within the time , and vice versa. There will be a true correlation only when that decay event belongs to the implantation event under consideration. Otherwise correlations will be random because the decay event will be correlated artificially with an implantation happening before or after the implantation to which it really belongs.
This procedure ensures that the true correlations are taken into account, at the price of including many random correlations. The correlation-time spectrum and the energy spectra resulting from this method will therefore contain both true and random correlations.
In the correlation-time spectrum the random events will form a flat background which can easily be taken into account, while the true correlations will form the typical exponential decay curve. As an example, the correlation-time spectrum for Zn including all the decays (betas and protons) is shown in Fig. 3.
Besides the truly-correlated decays, the energy spectra will contain decay events coming from either the same ion but a different implantation event, or from different nuclei. These randoms have to be carefully removed. The background subtraction procedure is described in Sections III.5 and III.6 for the charged-particle and -ray energy spectra, respectively.
We decided to correlate decays and implants in a period = 50 s, i.e., in the interval [-50 s, +50 s]. This is different from Ref. Dossat et al. (2007) where the correlations were formed in the interval [0, 5000 ms]. There are two motivations for this choice. The , [-50 s, 0], clearly have no physical meaning but they are useful in the background subtraction procedure (see Section III.5). The choice of a huge period allows one to check the shape of the background, which is expected to be flat (see Section III.2.2).
iii.2 Determination of the half-life
For each nucleus of interest, the correlation-time spectrum can be constructed as explained in Section III.1. This spectrum includes all the decays (betas and protons) correlated with a given implant. Thus all the possible decays, from the parent nucleus or its daughters, have to be taken into account in the fit of the half-life with the Bateman equations Bateman (1910).
The detection efficiency for a particular decay event will depend strongly on the decay mode of that event, i.e., either by -delayed proton or by emission alone. Indeed the detection efficiency of the DSSSD is very different for protons (close to 100%) and for particles ( %), see Section III.3. Therefore for nuclei where the decay mode is only by emission, the integration of the parent contribution and descendants will depend on the rather limited detection efficiency.
Fe, Ni and Zn all emit -delayed protons. Thus an additional condition can be imposed to select only the proton decays. This is achieved by setting an energy threshold in the DSSSD spectrum (Section III.5) which removes the pure decays while keeping the -delayed protons, and selecting correlated implants for the desired nuclear species. The advantage is that the daughter activity (where no protons are present) is removed from the correlation-time spectrum. In this way the half-life can be fitted simply by using the parent activity :
where is the radioactive decay constant and is the total number of proton emissions. Thus the integration of the parent contribution does not rely on and directly yields . The background is fixed by a fit done on the left of the peak using a linear function.
Fig. 4 shows the correlation-time spectrum for Zn correlated with the proton decays alone (DSSSD energy threshold above 0.8 MeV). The half-life is determined by a least squares fit to the data with the function of Eq. 1. A value of ms is obtained for Zn Orrigo et al. (2014a). A fit using a maximum likelihood minimization method gives a value of 32.8(8) ms. The result is not affected by the choice of the range over which the fit was made. Changing the range from 10 to 1000 half-lives (50 s) made no difference to the results.
For comparison, if we use the Bateman equations Bateman (1910) to fit the Zn correlation-time spectrum containing all the decay modes (Fig. 3), we have to include: the decay of Zn to Cu, which partially goes to the ground state of Cu and partially undergoes proton emission to Ni; the decay of Cu to Ni; and the decay of Ni to Co. As expected, we get a similar value, 31.2(11) ms.
We adopt the first method because it is more precise, it relies only on our data and it allows us to extract independently of the detection efficiency.
Background from the random correlations
Various methods can be used to deal with the random-correlation background. As in Ref. Dossat et al. (2007), we included a flat background in the half-life fit. This is a well-established method to be used in simple cases such as the present one, where the beam is continuous. If instead one subtracts the background before fitting, there is an additional source of uncertainty when fitting the final spectrum because of the larger fluctuations introduced by the subtraction.
Alternatively, a method that is very useful when the beam is pulsed has been developed in Refs. Molina (2011); Molina et al. (2015). There, a correlation-time spectrum for the background is constructed by performing the time correlations in the , i.e., between decays in the pixel [,] and implants in the pixel [,] for . The background spectrum is then subtracted from the main correlation-time spectrum. By applying this method in our case we get consistent results but a larger uncertainty on caused by the subtraction. Besides, the background spectrum introduces many fluctuations because of its low statistics. Indeed in our case most of the ions produced were implanted in the same region of the DSSSD as Zn, thus the opposite pixel can have few events when far from the implantation region. This is not the case for the nuclei studied in Refs. Molina (2011); Molina et al. (2015).
In order to increase the statistics of the background spectrum we have also considered an background spectrum created by correlating the decays in the pixel [,] with the implants in all the pixels of the DSSSD except the 8 pixels surrounding the pixel [,] and the pixel [,] itself. In this way the statistics of the background spectrum are indeed improved, however when the beam is continuous we still prefer the first method because it avoids the introduction of additional fluctuations due to the background subtraction procedure.
In summary, as expected the three methods give consistent results. The choice of the method depends on the details of the experiment carried out (beam properties and implantation pattern).
Finally, in Ref. Molina (2011) a peculiar effect has been observed. Ideally the profile of the random-correlation background is expected to be a constant. However, there can be situations where the background profile is not flat, but has a shape. The shape can be affected, e.g., by pulsing of the beam, or by the limited duration of the runs. In the latter case the background assumes a triangular shape centred at Molina (2011). This effect is more pronounced as the runs become shorter and it may affect the determination of . The effect and the procedure to correct for it will be described in detail elsewhere.
Here we performed the time correlations over a huge period to study the background profile. In the present case the duration of the runs is large enough that the background profile is not affected. We verified that the results for the half-life fit are the same both with and without applying the correction for this effect.
iii.3 DSSSD detection efficiency
A DSSSD detection efficiency of 100% has been assumed for both implants and -delayed protons. A rather low efficiency value is expected for the particles, also reflected in the -delayed emission, because of the combined effect of the small energy loss of the betas in the DSSSD detector (about 100-200 keV) and the electronic threshold. In contrast, the -delayed proton emission yields a much higher signal in the DSSSD so that the proton detection efficiency is not affected by the threshold. If the implantation occurs in the middle of the DSSSD, the proton efficiency is close to 100%, as explained below.
A Monte Carlo simulation of the detection efficiency for protons is shown as a function of their energy in Fig. 5 of Ref. Dossat et al. (2007), where different implantation depths in a 300 m thick DSSSD detector are considered. It was found that the detection efficiency was symmetric with respect to the centre of the detector. If the Zn ions are implanted in the centre of the DSSSD (150 m), the efficiency for protons of energy up to 3.5 MeV is 100%. We simulated the implantation profile of the Zn ions in the DSSSD in realistic conditions using the simulation code LISE Tarasov and Bazin (2008), obtaining a distribution centred in the DSSSD and having a width of 30 m FWHM. From previous similar works, such as Ref. Dossat et al. (2007), the GANIL experts indicate that the differences in the implantation depth between the LISE simulations and the measurements are of the order of 10 m. If we adopt a reasonable systematic error of 20 m in the implantation depth, then the detection efficiency is 100% for all the protons with energy 3.0 MeV. Only for the 3.45 MeV proton seen in the decay of Ni is the efficiency slightly lower ( 98.5%).
The detection efficiency of the DSSSD is determined by means of known emitters, i.e., the nuclei populated in the dataset focused on Zn Orrigo et al. (2014b). As distinct from the nuclei under study, -delayed proton emission is not present in the decay of these isotopes. Indeed their decay proceeds by either -delayed emission or by decay to the ground state, thus they can be used to estimate the detection efficiency from:
where is the number of decays obtained by integrating the parent activity from the correlation-time spectrum for these nuclei and is the dead time fraction, which varies from 12% in the Zn dataset to 28% in the Zn+Fe datasets. The number of implants is obtained by selecting the ion of interest in the identification matrix (Section III). We obtain . Monte Carlo simulations of the emitted particles (done as in Section III.5 for the -p events) showed that the differences in between Zn and the nuclei under study (Fe, Ni and Zn) are of the order of 1%, hence well inside the quoted uncertainty for .
As explained in Section II, the data acquisition system was triggered by either an implantation event or by a decay event ( or proton). The rays were not included in the trigger. The emissions were acquired in coincidence with the decay events, which are affected by the corresponding DSSSD efficiency. The efficiency is used to determine the absolute intensity of each -delayed ray observed in the decays of Fe and Ni from:
where represents the number of counts in the given line and is the detection efficiency of the EXOGAM Ge clovers (see Section III.6). For Zn, instead, the observed lines are in coincidence with the proton emission, therefore their intensity does not depend on :
iii.4 Total proton-emission branching ratio
The total proton branching ratio is determined by comparing the total number of protons, , with the total number of implanted nuclei, , according to:
is obtained, together with the half-life, from a fit of the correlation-time spectrum after selection of the proton decays (see Section III.2.1). The selection of the proton emission is achieved by setting an energy threshold in the DSSSD spectrum just below the first proton peak we identify. As discussed in Ref. Dossat et al. (2007), the systematic error of this procedure can be estimated by repeating the determination of using a DSSSD threshold differing by 100 keV. Since the dead time fraction could change in the different measurements, we calculated a weighted-average dead time in the same way as in Ref. Dossat et al. (2007). The dead time recorded in each run was weighted by the number of implants of a given ion in that run and divided by the total of that isotope.
iii.5 Analysis of the charged-particle spectrum
A 300 m thick DSSSD detector was used to detect both the implanted heavy-ions and the following charged-particle (betas and protons) decays (see Section II). The strips of the DSSSD were calibrated and aligned using a triple--particle source and the peaks of known energy from the decay of Ni Dossat et al. (2007). The DSSSD spectrum was obtained as the sum of the spectra from all the 256 pixels.
The charged-particle spectrum measured in the DSSSD for decays associated with implants of a given nuclear species was formed as follows (the figures shown as examples are related to Zn). A DSSSD spectrum was created by selecting time correlations from 0 to 1 s (red-dashed zone in Fig. 5). This DSSSD spectrum, shown in Fig. 6a, contains both true and random correlations. A background DSSSD spectrum, containing only randoms and shown in Fig. 6b, was formed by setting a gate from -40 to -10 s on the time correlation spectrum (selecting the blue-dotted zone in Fig. 5). The two spectra were then normalized to the time interval used and the spectrum derived from Fig. 6b was subtracted from the spectrum in Fig. 6a. The resulting DSSSD spectrum associated with Zn is shown in Fig. 6c.
Our procedure is similar to that of Ref. Dossat et al. (2007), but there the gate for the background spectrum was chosen from 1 to 2 s. We chose a larger time gate, 30 s, to increase the statistics of the background spectrum. The advantage is a reduction in the fluctuations coming from the subtraction of the two spectra. This is important in cases such as Zn where the number of counts is limited. Moreover, we use the to define a time interval on the left of the peak, which ensures that only randoms are included in the background spectrum.
In general, a DSSSD spectrum shows a bump at low energy, due to the detection of particles. The discrete peaks visible above this bump are interpreted as being due to -delayed proton emission. The proportion of -delayed protons to decay depends on the nucleus under study and it is reflected in the value of (Eq. 5). For example, for Zn the strength in Fig. 6c is dominated by -delayed proton emission and = 88.5(26) % Orrigo et al. (2014a).
The DSSSD experimental energy resolution is 70 keV FWHM. The summing with the coincident particles also affects the lineshape of the peak. To study the lineshape we performed Monte Carlo simulations for a silicon DSSSD strip using the Geant4 code (version 4.9.6) Agostinelli et al. (2003); Allison et al. (2006). The radioactive sources (i.e., the implants) were located in an extended area in the middle of the detector, with an implantation profile obtained from LISE calculations Tarasov and Bazin (2008). Protons of a given energy were emitted at the same time as particles. The latter follow a distribution determined by the Fermi function (-decay event generator), with an end-point energy corresponding to , where is the proton separation energy in the daughter nucleus. A widening of 70 keV FWHM was imposed to simulate the DSSSD experimental resolution.
As an example, Fig. 7a shows the result of the simulation of the -p decay with = 1.1 MeV (corresponding to the Cu level at 1.7 MeV, see Table 5). A Gaussian with an exponential high-energy tail describes the lineshape to a good approximation. This result is an additional justification for the procedure widely used in Ref. Dossat et al. (2007). The lineshape obtained from the simulations was also checked by us with the well isolated Zn proton peak at = 4.6 MeV. We used this lineshape to fit the experimental DSSSD spectra, by keeping the shape fixed (i.e., the Gaussian+exponential and the slope of the exponential) and fitting the parameters of the Gaussian (height, mean, width) to the experimental proton peaks. The result for Zn is shown in Fig. 7b. The subroutine Giovinazzo (2008), which allows the use of the same function in a more automated way, was used to cross-check the fit of Zn and to perform the fits for Fe and Ni, where many small peaks overlap.
The procedures adopted allow for a proper determination of the proton centre-of-mass energy and the number of counts in each proton peak . The intensities of the proton peaks, which are important for the extraction of the -decay strengths, are then given by:
The excitation energy of each level populated in the daughter nucleus is obtained by adding and . It should be noted that in this kind of experiment both the kinetic energy of the proton and the recoil energy are absorbed in the DSSSD.
iii.6 Analysis of the gamma spectrum
Four EXOGAM Ge clovers were used to detect the -delayed rays. Each clover comprised four Ge crystals, giving a total of 16 Ge crystals. Two parallel electronic chains with different amplifiers were used to detect rays up to 2 MeV and rays of higher energy. The first electronic chain was used in the analysis of all the rays up to 2 MeV. In the spectra obtained by using the second electronic chain a problem was detected during the data analysis. As seen from known peaks, a regular deformation pattern was observed, i.e., a distortion of each peak in a interval of 60 keV. This affected the analysis of the higher-energy rays, particularly for Fe because of the poor statistics.
The Ge crystals were calibrated in energy by using the lines from Co, Cs and Eu sources. The alignment between the spectra measured in the 16 crystals was cross-checked and a summed spectrum was constructed. The energy resolution was 4 keV FWHM for the Co line at 1.33 MeV. The detection efficiency was calibrated by using the lines from the Co, Cs, Ba and Bi sources. An efficiency curve, shown in Fig. 8, was fitted to the experimental data according to the efficiency energy dependence given in Ref. Hu et al. (1998). The efficiency was 10% at 1 MeV -ray energy.
In order to create the spectrum correlated with implants of a given nuclear species, one has first to define a (-p)- event. This is done by taking all the events in coincidence with the (-p) decays. Then the (-p)- events are correlated with the implantation signals, in the same way as was done in Section III.1. The background subtraction procedure is analogous to that adopted to create the DSSSD spectrum (Section III.5). An example of the resulting spectra is shown in Fig. 9 for Zn. A spectrum was created by selecting ((-p)-)-implant time correlations from 0 to 1 s, which contains both true and random correlations (Fig. 9a). A background spectrum, containing only randoms, was formed by setting a gate on the (Fig. 9b). The two spectra were then normalized to the time interval used and the spectrum in Fig. 9b was subtracted from that in Fig. 9a to produce Fig. 9c.
The spectrum coincident with decays correlated with a given ion is then analyzed. The lines of this spectrum are good candidates for -delayed transitions belonging to the ion of interest. The half-life associated with each line is determined from the fit of a correlation-time spectrum gated on that line, after subtraction of a background correlation-time spectrum obtained by setting an energy gate on the two sides of the line (mainly Compton background). This half-life is compared to the half-life of the nucleus. Such a procedure allowed the association of the 1835 keV line with Zn Orrigo et al. (2014a).
Gamma-proton coincidences are also obtained either by placing conditions on the proton peaks of the DSSSD spectrum or by putting gates on the lines. In cases such as Zn, where most of the decay is followed by a proton emission, the -proton coincidences allow for the identification of weak lines and further confirm that these transitions belong to the decay of Zn.
iii.7 Determination of (F) and (Gt)
For the even-even = -2 nuclei discussed here, two kinds of state are expected to be populated in decay: the = 2, = 0 Isobaric Analogue State (IAS), fed by the Fermi transition, and a number of = 1, = 1 states due to Gamow-Teller transitions. In the present section we describe the procedure used for the determination of the Fermi and GT transition strengths, (F) and (GT), respectively. The peculiarities observed in the decay of each nucleus will be addressed in Section IV.
For each nucleus, for the proton and peaks identified in the DSSSD and spectra respectively, we determined the energies of the peaks (from the centroids obtained in the fits) and the intensities of the transitions (from the areas of the peaks). The feeding to the states populated in the daughter nucleus is then deduced.
In proton-rich nuclei the proton decay is expected to dominate for states well above (1 MeV) the proton separation energy and so usually the feeding is readily inferred from the intensities of the proton peaks. However, the de-excitation of the = 2, IAS via proton decay is isospin-forbidden and it can only happen because of a = 1 isospin impurity in the IAS. In such cases competition between -delayed proton emission and -delayed de-excitation from the IAS becomes possible, also because relatively low proton energies are usually involved. We indeed observe such competition in the decay of Fe, Ni and Zn. Zn is a special case where the competition becomes possible even at energies well above . Thus for all three nuclei the intensities of the proton and transitions from the IAS have to be added to get the correct feeding to the IAS, and hence the right amount of Fermi strength. Furthermore, in the case of Zn we observed the exotic -delayed -proton decay in three cases Orrigo et al. (2014a). Therefore for a proper determination of (GT) of a given level the intensity deduced from the proton transition has to be corrected for the amount of indirect feeding coming from the de-excitation.
The measured and were used to determine the (F) and (GT) values according to the equations:
Iv Experimental results
In this section we show the experimental results for the = -2 nuclei Fe, Ni and Zn. The total numbers of implantation events , the half-lives and the total proton-emission branching ratios are given in Table 1.
|Fe||154241||45.3(6)||15.9(6)||Dossat et al. (2007)|
|44(7)||Faux et al. (1996)|
|Ni||272152||40.8(2)||31.4(15)||Dossat et al. (2007)|
|38(5)||Faux et al. (1994)|
|Zn||630||30.0(17)||86.0(49)||Dossat et al. (2007)|
Our values are larger than those in the literature, nevertheless using the same analysis procedure we found a good agreement with Ref. Dossat et al. (2007) for the half-lives of other nuclei, such as Fe and Ni. In comparison with the previous study Dossat et al. (2007), the present experiment achieved a higher energy resolution for protons, 70 keV FWHM, thanks to the use of a thinner DSSSD detector and better preamplifiers. The improved resolution, together with the increased statistics, allowed us to establish for the first time the decay scheme of Zn and to observe the exotic -delayed -proton decay Orrigo et al. (2014a).
New and detailed spectroscopic information has also been obtained on the decays of Fe and Ni because of the improved experimental conditions. The decay schemes of Fe and Ni have been enriched with many new states identified in the corresponding daughter nuclei, and the -decay strengths have been extracted.
The details for each of the three nuclei under study are discussed in the following sections.
iv.1 Beta decay of Fe
Fig. 10 shows the correlation-time spectrum for Fe obtained in our experiment, where proton decays with energy above 0.94 MeV have been selected in the DSSSD and the region corresponding to the Fe impurity (see below) has been removed. The half-life is determined by fitting the data including the decay of Fe (Eq. 1) and the random correlation background (Section III.2). A half-life = 51(3) ms is obtained. The maximum likelihood and least squares minimization methods gave the same result.
The charged-particle spectrum measured in the DSSSD for decay events correlated with Fe implants is shown in Fig. 11a. The large bump observed at low energy is due to the detection of particles not coincident with protons. Nine discrete peaks are identified above this bump and interpreted as being due to -delayed proton emission. They are fitted as explained in Section III.5. The fit is shown in Fig. 11b where the peaks are labelled according to the corresponding excitation energies in Mn, obtained as with = 2018(10) keV (see Section V). The proton decay of the IAS is identified at = 3.036(2) MeV as in Ref. Dossat et al. (2007).
The additional peak visible at 2 MeV (in blue) is due to a residual contribution (3.0(3)%) of the Fe contaminant. As explained in Ref. Dossat et al. (2007), the background subtraction procedure cannot remove completely the activity of very strongly produced isotopes such as Fe. By imposing an increasingly restricted identification cut on Fe we can progressively get rid of the Fe contaminant, but at the price of poorer statistics. We have chosen the reasonable compromise of obtaining a good separation between the residual Fe peak and the Fe peaks. We have also checked that there is no visible contribution from Fe below the Fe peak. Hence in the construction of the correlation-time spectrum, besides imposing a DSSSD threshold of 0.94 MeV, we have also removed the energy region corresponding to the Fe peak by imposing [1.85,2.23] MeV. In this way we get a = 14.4(7)%. Since in Ref. Dossat et al. (2007) the residual Fe impurity is not removed, they get a slightly different value, 15.9(6)%. If we include the Fe peak we also get 15.1(7)%.
The -ray spectrum measured in coincidence with all the decays correlated with the Fe implants is shown in Fig. 12. Three lines are observed at 90, 98 and 313 keV. The fourth line visible in Fig. 12 at 261 keV comes from the residual Fe contaminant. A further ray of 2634 keV is expected in the decay of Fe Dossat et al. (2007), which we can only partially observe because of the problem affecting the low-amplification electronic chain (see Section III.6). Thus for this ray we took = 30(5)% from Ref. Dossat et al. (2007) to calculate the -decay strength.
Gamma-proton coincidences were performed for all the rays observed. As expected, the lines at 90 and 313 keV are found to be coincident with the bump. The 98 keV line comes from the decay of the first excited state to the ground state in the proton-daughter Cr Dossat et al. (2007).
It is worth noting that the pair of proton peaks at 3.619 and 3.713 MeV differs in energy by approximately 100 keV, close to the energy of the first excited state in Cr. The DSSSD spectrum gated on the line at 98 keV, corrected by the corresponding efficiency, is shown in Fig. 13 (dashed-red histogram) and compared with the full DSSSD spectrum (black-empty histogram). The 98 keV ray is found to be in coincidence with part of the 3.619 MeV proton peak, indicating that this part of the intensity (0.6%), given in Table 2 as in percent, comes from the decay of the observed 3.713 MeV level to the first excited state of Cr. Hence the intensities of the 3.619 and 3.713 MeV peaks have been corrected by shifting this 0.6% intensity from the lower energy level to the upper one, as indicated in Table 2. At higher energy a triplet of peaks is observed (4.299, 4.399 and 4.517 MeV), the first two of which are also separated by around 100 keV, for which a small amount of intensity is also observed in coincidence with the 98 keV ray (dashed-red histogram in Fig. 13). Thus the intensities of this triplet of peaks have been corrected in a similar way (see Table 2). Finally, in the -gated spectrum a small peak (of intensity 0.3%) is seen at 0.9 MeV, which is attributed to the decay of the IAS to the first excited state in Cr, thus this intensity is added to the IAS one. Table 2 shows the corrections and the intensities, before and after correcting.
The weight of evidence outlined above supports the decay scheme shown in Fig. 14. There is an alternative explanation, namely that the levels at 3.619 and 4.299 MeV do not exist and the corresponding proton peaks are due to transitions from the 3.713 and 4.399 MeV levels, respectively, to the first excited state in Cr. To indicate this possibility we show the levels at 3.619 and 4.299 MeV with dashed lines in Fig. 14.
The coincidence with the 98 keV ray selects proton-decay events only. The half-life associated with the line at 98 keV agrees well with the Fe half-life obtained in Fig. 10. This is an additional confirmation that the fit in Fig. 10 is not affected by some possible residual contribution from the tail in the region 0.94 MeV.
Our observations are summarized in the Fe decay scheme in Fig. 14 and in Table 3, which gives the energies and intensities of the proton and peaks, the feedings, the (F) and (GT) strengths (where we used = 11202(19) keV determined in Section V). Fig. 14 also shows the half-lives of the daughter nuclei Tuli (2015).
The IAS decays by both proton emission and de-excitation, via the cascade at 2634, 90 and 313 keV. Indeed barrier-penetration calculations give a partial proton half-life of s, two orders-of-magnitude smaller than the de-excitation probability. Since the proton emission is isospin-forbidden, the decay can compete with it. From our data, each 100 decays from the IAS divide into 14(2) proton decays to the ground state of Cr, and 86(19) decays to the ground state of Mn. The two possible decay modes of the IAS give two independent determinations of the excitation energy of the IAS. From our measured proton energy and the experimental mass excess of the ground states in Cr and Mn Audi et al. (2012) we get = 3.066(170) MeV, while from the summing of the energies of the de-exciting lines we obtain = 3.036(2) MeV. The two values agree well with each other and the second is a lot more precise.
From Ref. Dossat et al. (2007). IAS.
The total feeding of the IAS is 34.8(50)% and (F) = 2.8(4). We calculated that the feeding should be 49(3)% to get the expected (F) = = 4. A possible explanation for the missing feeding could be that there are other weak branches which are not observed. In addition, we took the intensity of the 2634 keV line from Ref. Dossat et al. (2007) where there is also missing IAS feeding.
Considering = 14.4(7) % and the intensity of the 90 keV line, 72(14) %, we get a total feeding of 87(14)%, thus globally there is a missing feeding of 13(14)%. This value is compatible with the missing feeding in the IAS, however the sizable uncertainty lets us explore an additional hypothesis. In the mirror nucleus V two 1 states are observed at 2.288 and 2.406 MeV, also seen in a recent measurement of the charge exchange (CE) reaction Ti(He,)V Ganioğlu (2016). Due to the mirror symmetry, these states should also exist in Mn and they could explain part of the missing feeding. However we cannot make a conclusive statement about this hypothesis because we do not see any line compatible with their population or de-excitation, although the statistics expected for these weak lines may place them below our sensitivity limit. In addition the corresponding proton decay from these 1 states is expected at around 300-400 keV and so the corresponding peaks, if they exist, would lie beneath the bump, making it impossible to identify them in the DSSSD spectrum. In Fig. 13, however, the coincidence with the 98 keV ray suppresses the bump and a group of peaks is visible in the region 200-500 keV, compatible with the expected energies. We calculated the barrier-penetration half-life for the expected protons and found it to be in the range 10-10 s, while the partial half-life for decay using the Weisskopf estimate is around 10-10 s. Therefore the decay should dominate unless additional reasons, lying in the structure of the nuclear states involved, would favour the proton decay.
iv.2 Beta decay of Ni
Fig. 15 shows the correlation-time spectrum obtained for Ni in our experiment, where the proton decays have been selected by putting a threshold of 0.98 MeV on the energy in the DSSSD. The data are fitted with the function of Eq. 1, including the decay of Ni and a constant background. A half-life of 42.8(3) ms is obtained. The maximum likelihood and least squares minimization methods gave the same result. The total proton branching ratio is determined as explained in Section III.4. We obtain = 31.1(5)%, in good agreement with the value 31.4(15)% from Ref. Dossat et al. (2007).
Fig. 16a shows the DSSSD charged-particle spectrum obtained for decay events correlated with Ni implants. The bump observed below 1 MeV is attributed to particles not coincident with protons (the structure in the bump comes from the different thresholds of the strips in the DSSSD). Ten discrete peaks are identified above this bump and interpreted as being due to -delayed proton emission. The fit to these peaks, performed as in Section III.5, is shown in Fig. 16b. The peaks are labelled according to the corresponding excitation energies in Co, obtained by adding = 1574(51) keV (see Section V) to the measured proton energy in each case.
The DSSSD spectrum can be compared to the spectrum obtained from the mirror CE experiment, the reaction Cr(He,)Mn (see Fig. 45a in Ref. Fujita et al. (2011)). All the dominant transitions are observed in both spectra, showing a good isospin symmetry. In detail, the Mn peaks seen in the CE spectrum at = 2.636, 3.585, 4.390 and 5.090 MeV correspond to the Co peaks seen in the DSSSD spectrum at = 2.622, 3.523, 4.376 and 5.024 MeV. In addition we see other small peaks at = 3.148, 3.254, 3.410, 3.634 and 4.462 MeV which seem to be only very weakly populated in the mirror CE process.
Moreover, we see a strong peak at = 2.926 MeV which is identified as the proton decay of the Co IAS, as in Ref. Dossat et al. (2007). The higher energy resolution of the CE reaction allows the separation of two Mn states lying close in energy, at 2.875(1) and 2.938(0) MeV Fujita et al. (2011). Hence the peak seen in Co at 2.926 MeV could also contain a contribution from an unresolved 1 level, which is expected to be small since the 0 contribution is enhanced in the decay in comparison to CE Fujita et al. (2011). We neglected this possible contribution in the calculation of (F).
The -ray spectrum observed for the decay of Ni is shown in Fig. 17 (where the high-amplification and low-amplification spectra are shown in the panels a and b, respectively). Two lines are observed at 141 and 2407 keV, also seen in Ref. Dossat et al. (2007) at 142 and 2418 keV, respectively. We determine for the first time the intensity of the 141 keV line, = 43(8)%. This line is found to be coincident with the bump, as expected. Even if the shape of the 2407 keV peak is distorted, due to the problem affecting the low-amplification electronic chain (see Section III.6), the high statistics allowed us to extract an intensity = 42(10)% which agrees well with the value 38(5)% from Ref. Dossat et al. (2007).
Our observations are summarized in the Ni decay scheme shown in Fig. 18 and in Table 4, which gives the energies and intensities of the proton and peaks, the feedings, the (F) and (GT) strengths (for which we used = 11571(54) keV determined in Section V). Fig. 18 also shows the half-lives of the daughter nuclei Tuli (2015). The total feeding of the IAS is 56(10)% and (F) = 4.1(8), consistent with the expected (F) = 4. The 2.622 MeV level takes most of the GT strength. From and the intensity of the 141 keV line we get a total feeding of 74(8)%, thus globally there is a missing feeding of 26(8)% which could belong to other unobserved weak or proton branches.
The IAS in Co decays 75(23)% of the time by rays and 25(5)% by (isospin-forbidden) proton emission to the ground state in Fe ( = 5/2). The population of the first excited state at 253 keV (7/2) in Fe via proton decay would be followed by the emission of a ray at 253 keV that we do not see. The branch from the IAS proceeds via the rays of 2407 and 141 keV which populate the levels in Co at 519 and 378 keV, respectively, while no rays are observed from the 378 keV (2) level. As explained in detail in Section V, we assume for this level an energy of 378(50) keV from the value in the mirror nucleus Mn, 377.749(5) keV DelVecchio (1973), fixing the excitation energies for the Co levels. Barrier-penetration calculations give a partial proton half-life of s for the decay of the IAS to the ground state in Fe, and the calculated Weisskopf transition probability for the decay of the IAS to the 1 level at 519 keV is of the same order-of-magnitude. In the mirror Mn the 2 level at 378 keV is an isomer with a half-life of 21.1 min. Hence the 2 level in Co is also likely to be an isomeric state decaying by emission to Fe.
iv.3 Beta decay of Zn
The Zn nucleus was observed for the first time in 1999 in an experiment carried out at GANIL Giovinazzo et al. (2001). However, before the present experiment there was only a little information on the decay of Zn and the excited states of its daughter Cu. The observation of -delayed proton emission was reported in Ref. Dossat et al. (2007), but only by improving the statistics and energy resolution has it been possible to perform a fine study of the energy levels in Cu. Moreover, -delayed rays were reported for the first time in the present experiment Orrigo et al. (2014a).
The correlation-time spectrum for Zn with selection of the proton emission (DSSSD energy above 0.8 MeV) is shown in Fig. 4. It has already been discussed in Section III.2.1. A least squares fit to the data using the function in Eq. 1 gives a half-life of = 32.9(8) ms.
Fig. 6c shows the DSSSD charged-particle spectrum obtained for decay events correlated with Zn implants. In this case only a small number of particles not coincident with protons are observed below 0.8 MeV, while above this energy the decay is dominated by -delayed proton emission. The fit of the six proton peaks identified, shown in Fig. 7b, was performed as explained in Section III.5. In the figure the peaks are labelled according to the corresponding excitation energies in Cu, obtained by adding = 560(140) keV Audi et al. (2003) (see Section V) to the measured proton energy .
The total proton branching ratio, determined according to the procedure of Section III.4, is = 88.5(26)%, in good agreement with the value 86.0(49)% reported in Ref. Dossat et al. (2007). Thanks to the higher energy resolution, we were able to identify the first proton peak at = 0.831 MeV ( = 1.391 MeV), while in Ref. Dossat et al. (2007) it was assumed proton emission only occurred above 0.9 MeV.
The comparison of the DSSSD spectrum with the mirror spectrum obtained in the Fe(He,)Co CE reaction Fujita et al. (2013) has already been discussed in Ref. Orrigo et al. (2014a). There is a remarkable isospin symmetry. The Cu levels seen in the DSSSD spectrum at = 1.691, 2.537, 2.661 and 3.508 MeV correspond to the Co levels seen in the CE spectrum at 1.720, 2.633, 2.729 and 3.599 MeV. The broader Cu peak at 3.423 MeV contains, unresolved Orrigo et al. (2014a), at least two of the three states seen in Co at 3.432, 3.496 and 3.527 MeV. In addition, the Cu level at 1.391 MeV is the 0 antianalogue state Kampp et al. (1978) and corresponds to the Co level at 1.451 MeV, which is not populated in the CE reaction. The 2.633 MeV level is also very-weakly populated in the CE experiment. Thus we expect that the 1.391 and 2.537 MeV levels will only receive a small amount of feeding in the decay and are populated only indirectly by decay from the levels above. This has been taken into account in the calculation of the de-excitation of the IAS Orrigo et al. (2014a).
A -ray spectrum for the decay of Zn has been measured for the first time. In the spectrum, shown in Fig. 9c, a ray at 1835 keV is observed. Two additional rays have been identified at 309 and 861 keV from -proton coincidences. Fig. 19 shows the three lines.
The Zn decay scheme is shown in Fig. 20, which also shows the half-lives of the daughter nuclei Tuli (2015). Table 5 summarizes our results on the decay of Zn, giving the energies and intensities of the proton and peaks, the feedings, the (F) and (GT) strengths (where we used = 12870(300) keV Audi et al. (2003), see Section V).
The Zn ground state decays by a Fermi transition to its IAS in Cu. From there, two rays of 861 and 1835 keV are emitted, populating the 2.661 and 1.691 MeV levels in Cu, respectively. Due to the low , these levels are still proton-unbound and thereafter they both decay by proton emission. Consequently the rare and exotic -delayed -proton decay has been detected for the first time in the shell Orrigo et al. (2014a). Besides these two branches, there is a third case of a -delayed -proton sequence: the 1.691 MeV level emits a ray of 309 keV, going to the level at 1.391 MeV that is again proton-unbound and de-excites by proton emission.
The consequences of the -delayed -proton decay on the determination of the (GT) strength near the proton drip-line have been analyzed in Ref. Orrigo et al. (2014a). These findings demonstrate that it is crucial to employ detectors in such studies, stressing in particular the importance of carefully correcting the intensity extracted from the proton transitions for the amount of indirect feeding coming from the de-excitation.
Competition between -delayed proton emission and -delayed de-excitation is observed from the 3.508 MeV IAS in Cu. The decays represent 56(6)% of the total decays. The de-excitation of this = 2, IAS via proton decay to the ground state of Ni ( = 1/2, ) is isospin-forbidden. Therefore the 44(6)% proton emission that we observe can only happen because of a = 1 isospin impurity. Moreover, we have found evidence for fragmentation of the Fermi strength due to strong isospin mixing with a 0 state lying inside the 3.423 MeV peak Orrigo et al. (2014a). The isospin impurity in the Cu IAS, = 33(10)%, and the off-diagonal matrix element of the charge-dependent part of the Hamiltonian, = 40(23) keV, responsible for the isospin mixing of the 3.508 MeV IAS (mainly = 2, ) and the 0 part of the 3423 keV level (mainly = 1), agree with the values obtained in the mirror nucleus Co Fujita et al. (2013).
Main component of the IAS
Thus, the proton decay of the IAS proceeds thanks to its = 1 component. However, considering the quite large isospin mixing in Cu, the much faster proton decay ( s) should dominate the de-excitation ( s in the mirror). This is not the case since we still observe the decay of the IAS in competition with it. Knowledge of the nuclear structure of the three nuclei involved in the decay (Zn, Cu and Ni) may provide us with a possible explanation for the hindrance of the proton decay, as discussed in Ref. Rubio et al. (2014).
Shell model calculations are in progress to corroborate these ideas Poves (2016). The preliminary results give a spectroscopic factor of 10 for the proton decay of the = 1 component of the IAS to the ground state of Ni. They also confirm the amount of isospin mixing observed.
V Determination of the masses
A knowledge of the masses of the proton-rich nuclei under study and their daughters is important for the determination of some key quantities. The difference between the mass excesses of the parent and -daughter nuclei gives the value of the decay, which enters in the determination of the -decay strengths (see Section III.7). In addition, the information on the mass excess of the proton-daughter after the decay and of the -daughter allows the calculation of the proton separation energy which, together with the measured proton energy , provides the excitation energy of the levels populated in the daughter nucleus as .
If the mass excesses of at least three members of an isospin multiplet are known then the mass excess of the remaining member can be determined from the Isobaric Multiplet Mass Equation (IMME) Wigner (1957); Benenson and Kashy (1979); MacCormick and Audi (2014):
In the present section we determine the mass excesses of the = -2 nuclei Fe, Ni and Zn using the IMME with four members of each quintuplet.
For the = 48, = 2, = 0 mass multiplet we consider the following mass excesses: the Ti ground state (-48491.7(4) keV Audi et al. (2012)); the IAS in V (-41458.8(14) keV), obtained from the ground state mass in Ref. Audi et al. (2012) and the most recent measurement of the IAS excitation energy Ganioğlu (2016); the IAS in Cr (-34067(17) keV Audi et al. (2012); Burrows (2006)); the IAS in Mn (-26254(12) keV), which we determine from the mass excess of Cr Audi et al. (2012) and our measured = 1018(10) keV (see Table 3). We obtain for Fe a mass excess of -18088(15) keV.
For the = 52, = 2, = 0 mass multiplet we consider the following mass excesses: the Cr ground state (-55418.1(6) keV Audi et al. (2012)); the IAS in Mn (-47780.9(18) keV), obtained from the ground state mass in Ref. Audi et al. (2012) and the IAS excitation energy taken from Ref. Dong and Junde (2015) (combining the measurements of Refs. DelVecchio (1973); Meyer (1990)); the IAS in Fe (-39771(9) keV Audi et al. (2012); Dong and Junde (2015)); the IAS in Co (-31561(14) keV), which we determine from the mass excess of Fe Audi et al. (2012) and our measured = 1352(10) keV (see Table 4). We obtain for Ni a mass excess of -22916(16) keV.
For the = 56, = 2, = 0 mass multiplet we consider the mass excesses of the Fe ground state (-60606.4(5) keV Audi et al. (2012)) and the IAS in Ni (-43963(4) keV Audi et al. (2012)). We also take the mass excess of the IAS in Co (-52461(2) keV), obtained from the ground state mass in Ref. Audi et al. (2012) and the high-resolution CE measurement Fujita et al. (2013), where we have used the excitation energy of the unperturbed = 2 state taking into account the isospin mixing observed. Finally, we also use the mass excess of the IAS in Cu (-35128(66) keV), which we determine from the mass excess of Ni Audi et al. (2012) and our measured = 2948(10) keV (see Table 5), where similarly we have calculated the unperturbed energy for the = 2 state considering the isospin mixing. We obtain for Zn a mass excess of -25911(20) keV.
The input values for the IMME calculations are summarized in Table 6 together with the mass excesses determined above for Fe, Ni and Zn. In the same table these mass excesses are compared to the values from the 2003 Audi et al. (2003) and 2012 Audi et al. (2012) Atomic Mass Evaluations (AME), which are all deduced from systematics. The comparison is also shown in Fig. 21, where we plot the differences between our IMME values and the 2003 AME and 2012 AME values. For all the nuclei, the values from the 2003 AME lie much closer to our IMME estimates than the 2012 AME ones, which agree only thanks to the larger error bars. A measurement of these masses would be important to constrain the future AME. Ref. Santo et al. (2014) reports similar issues related to the 2012 AME entries for Se and Kr.
|Mass||= 2 input values||IMME results||2003 AME||2012 AME|
|multiplet||(this work)||Audi et al. (2003)||Audi et al. (2012)|
|= +2||= +1||= 0||= -1||= -2||= -2||= -2|
|= 48||-48491.7(4) Audi et al. (2012)||-41458.8(14)||-34067(17) Audi et al. (2012); Burrows (2006)||-26254(12)||-18088(15)||-18160(70)||-18420(400)|
|= 52||-55418.1(6) Audi et al. (2012)||-47780.9(18)||-39771(9) Audi et al. (2012); Dong and Junde (2015)||-31561(14)||-22916(16)||-22650(80)||-23470(700)|
|= 56||-60606.4(5) Audi et al. (2012)||-52461(2)||-43963(4) Audi et al. (2012)||-35128(66)||-25911(20)||-25730(260)||-25580(500)|
Based on the unperturbed energy of the = 2 state. Values obtained from systematics.
Among the three nuclei under investigation, Fe is the only case where the ground state mass of the daughter Mn can be determined directly from the measurements, hence the value and can be determined without further assumptions. This is not possible for Ni and Zn, where no mass measurement for the daughter exists and therefore, in view of the rather large discrepancies observed in Fig. 21, we have to rely on mirror symmetry.
Fe. Starting from the mass of the IAS in Mn (-26254(12) keV, see above), the ground state mass of Mn can be determined by subtracting the energies of the de-exciting -ray cascade (see Table 3). We obtain -29290(12) keV, which agrees with the 2012 AME measured value of -29320(170) keV. Finally, using our derived (more precise) value, we calculate = 11202(19) keV for the decay of Fe and = 2018(10) keV in Mn.
Ni. In order to determine the ground state mass of Co, we can again start from the IAS in Co (-31561(14) keV, see above) and subtract the energies of the observed de-exciting rays (see Table 4) up to the first excited 2 state in Co. At this point we have assumed an energy of 378 keV for this 2 state, which we take from the value in the mirror nucleus Mn, 377.749(5) Dong and Junde (2015); DelVecchio (1973), where we estimated an error of 50 keV by looking at the energies of the levels up to 400 keV in mirror nuclei with = +1/2, -1/2, +1, -1. In this way we obtain a ground state mass excess of -34487(52) keV in Co. For comparison, the mass excess for Co is -33990(200) keV in the 2012 AME Audi et al. (2012) and -33920(70) keV in the 2003 AME Audi et al. (2003), where indicates values derived from systematics. Based on our deduced mass excesses for Co and Ni, we calculate = 11571(54) keV for the decay of Ni and = 1574(51) keV in Co.
Zn. For Zn we presented in Ref. Orrigo et al. (2014a) the complete strength calculations for both AMEs. The difference in the (F) and (GT) strengths obtained with the two AMEs is tiny (see Table II of Ref. Orrigo et al. (2014a)) and the values agree well within the uncertainties. However, we already noticed that the energies of the mirror levels in Cu and Co agree within 100 keV when the 2003 AME Audi et al. (2003) is used, while they differ by keV if one uses the 2012 AME Audi et al. (2012). Therefore we argued that the 2003 AME gives a more reasonable value for the energy of the IAS. The IMME calculation for the mass excess of the Zn ground state confirms that the systematic value from the 2003 AME lies closer to the than the 2012 AME one. Hence in the present paper we continue to prefer the 2003 AME Audi et al. (2003) values and so we use = 12870(300) keV for the decay of Zn and = 560(140) keV in Cu.
In the present paper we reported on a study of the decays of the Fe, Ni and Zn nuclei, performed at GANIL. These three exotic nuclei lie close to the proton drip-line and have a third component of isospin = -2.
In the first half of the paper we have extensively described the experiment and data analysis procedures, taking Zn as an example and discussing differences in the analysis of Fe and Ni. The results obtained for each of the three nuclei have been presented in the second half of the paper.
We have extracted the half-lives and the total -delayed proton emission branching ratios for all of the nuclei under study. Individual -delayed protons and -delayed rays have been measured and the related branching ratios have been determined, most of them for the first time. Partial decay schemes have been determined for the three nuclei. The higher energy resolution achieved for protons, in comparison to previous studies, allowed us to identify new states populated in the decays of Fe and Ni and to establish for the first time the partial decay scheme of Zn. We have used the Isobaric Multiplet Mass Equation to deduce the mass excesses of the nuclei under study using information from our experimental data and the literature. Moreover we have determined the absolute Fermi and Gamow-Teller transition strengths.
In Fe, Ni and Zn the de-excitation of the = 2 IAS via -delayed proton emission is isospin-forbidden, however it is observed in all cases. This is attributed to a = 1 isospin impurity in the IAS wave function. Furthermore, we have observed in all three nuclei competition between -delayed protons and -delayed rays. Nevertheless, while for Fe and Ni the -delayed de-excitation of the IAS dominates (86(19) % and 75(23) %, respectively), in Zn the decays are only 56(6) % of the total decays from the IAS.
The case of Zn is, indeed, peculiar for various reasons. The comparison with the mirror CE experiment shows, only for this nucleus, that there is another 0, = 1 state which mixes at 33% with the IAS, making the proton decay allowed. Another interesting feature is that in Fe and Ni the calculated partial proton half-lives are of the same order-of-magnitude as the -decay Weisskopf transition probabilities (this is partly due to the relatively low proton energies involved). In contrast, in Zn the proton decay is expected to be four orders-of-magnitude faster than the de-excitation. However, the latter is still observed. This indicates some hindrance of the proton decay. The explanation may lie in nuclear structure reasons, as explained in Ref. Rubio et al. (2014). Shell model calculations are in progress Poves (2016) and the preliminary results confirm the amount of isospin mixing experimentally observed and the hindrance of the proton decay.
Acknowledgements.This work was supported by the Spanish MICINN grants FPA2008-06419-C02-01, FPA2011-24553; Centro de Excelencia Severo Ochoa del IFIC SEV-2014-0398; CPAN Consolider-Ingenio 2010 Programme CSD2007-00042; Programme (CSIC JAE-Doc contract) co-financed by FSE; ENSAR project 262010; MEXT, Japan 18540270 and 22540310; Japan-Spain coll. program of JSPS and CSIC; UK Science and Technology Facilities Council (STFC) Grant No. ST/F012012/1; Region of Aquitaine. E.G. acknowledges support by TUBITAK 2219 International Post Doctoral Research Fellowship Programme. R.B.C. acknowledges support by the Alexander von Humboldt foundation and the Max-Planck-Partner Group. We acknowledge the EXOGAM collaboration for the use of their clover detectors. We thank Prof. Ikuko Hamamoto and Dr. J. L. Taín for useful discussions.
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