Introduction
The hot Big Bang theory, first proposed in 1946 by Gamow [1], is now the most widely accepted cosmological model of the universe, where it has expanded from a very high-density state dominated by radiation. This theory has been confirmed by the observations of the cosmic microwave background [2-4], the expansion of the universe, and good global agreement between the predictions and observations of the primordial abundances of the lightest elements in nature: hydrogen, helium, and lithium. According to the Big Bang theory, the universe began with a fireball approximately 13.8 billion years ago. Following inflation and cooling, primordial big-bang nucleosynthesis (BBN) began when the universe was approximately 3 min old (when the temperature was reduced to approximately 1 GK, i.e., particle energy E≈kT≈0.1 MeV) and ended less than half an hour later when the nuclear reactions were quenched by the low temperature and density conditions in the expanding universe. Only the lightest nuclides were synthesized in appreciable quantities through BBN: approximately 75% 1H and 25% 4He, with small amounts of 2H, 3He, and 7Li. These relics provide us with a unique window into the early universe. More comprehensive reviews on BBN can be found in the literature [5-7].
In general, the primordial abundances of 2H (referred to as D) and 4He inferred from observational data agree with predictions, except for the lithium problem [8, 9]. Deuterium, a fragile isotope, was destroyed after the BBN. Its most primitive abundance was determined from observing cosmological clouds at a high redshift on the line of sight of distant quasars. Recently, the precision of deuterium observations in cosmological clouds has dramatically improved, reaching an accuracy of 1.19% for primordial deuterium abundance (D/H), that is, D/H = (2.527±0.030)×10-5[10]. Therefore, the nuclear cross section data relevant to the deuterium involved in the BBN network needs to be known with similar precision to constrain further the cosmological parameter, that is, the cosmic baryon density. In this study, we focused on BBN deuterium abundance.
In BBN, deuterium synthesis is the first to occur, and the accumulation of primitive deuterium significantly affects the rate of subsequent reactions. Therefore, accurate determination of the abundance of deuterium in BBN calculations is important. Eextensive studies relevant to BBN deuterium abundance have been conducted [11-13] but only a few mention the impact of the uncertainties of the relevant reaction rates on D/H uncertainty. In this study, we used the Monte Carlo simulation code PRIMAT [14] to study the D/H uncertainty within BBN reaction networks and demonstrated the reaction rate sensitivity for some major reactions. In addition, the uncertainties of both the nuclear physics input and cosmological parameters were proposed to satisfy the accuracy of the observed deuterium abundance.
BBN model & Monte Carlo method
For a standard BBN model, the evolution of the nucleosynthetic abundance can be obtained by solving the following system of differential equations [15]:
The Monte Carlo method is a statistical method based on the large number theorem. Converting the solutions of mathematical problems into random samples can significantly reduce the difficulty in solving complex models. Because of the sampling of specific physical quantities following a certain distribution (such as Poisson, Gaussian, and log-normal distributions), it also preserves the statistical significance of the physical quantities and their associated uncertainties and applies them realistically in the calculation results.
In this study, we used the PRIMAT code [14] for BBN calculations. PRIMAT is mainly divided into the following parts: first, it needs to determine some cosmological parameters, such as the parameter a(t) of the Friedmanan-Lemaitre (FL) spacetime, which in the code is obtained from the thermodynamics of the plasma, and its change with temperature is obtained by numerical inversion; second, it calculates the effects of some weak interactions and stores the relationship between them and the temperature in a hard disk; finally, a reaction network model is established to calculate the nuclear reaction processes of ≥10 GK, 10–1.25 GK, and ≤1.25 GK according to the temperature change. During the entire process, the code uses random sampling of the distribution of relevant parameters to obtain the distribution function of abundance and then determines the uncertainty of the abundances.
In particular, the main focus of BBN is nuclear physics input quantities, specifically the reaction rates of the relevant reactions. The PRIMAT code assumes that the reaction rate follows a lognormal distribution [14]:
Model parameters & Simulation
The main parameters in the PRIMAT code that can be adjusted are the reaction rates and the associated uncertainties of the 11 reactions of primary importance [19] involved in the BBN network to evaluate their impact on deuterium abundance. The reaction rates were adopted from the default rates used in the PRIMAT code, and the data sources are listed in Table 1. In addition, the default values set in the PRIMAT code were adopted, that is, the cosmological parameter was Ωbh2 = (0.02225±0.00016) [4] for the baryon-to-photon ratio, and the neutron lifetime was τn = (879.5±0.8) s [20]. Notably, in the original PRIMAT calculations [14], a calculated D/H uncertainty of 1.46% was obtained using the default reaction rates and their uncertainties, but without considering the uncertainties of the cosmological parameter Ωbh2 at that time. In our calculations, a similar D/H uncertainty of 1.47% was obtained under the same conditions, confirming the correctness of our calculations.
Reaction | References |
---|---|
p(n,γ)d | Ando et al. [21] |
d(p,γ)3He | Iliadis et al. [22] |
d(d,n)3He | Gómez Iñesta et al. [23] |
d(d,p)t | Gómez Iñesta et al.[23] |
3He(n,p)t | Descouvemont et al.[24] |
t(d,n)4He | Descouvemont et al.[24] |
3He(d,p)4He | Descouvemont et al. [24] |
3He(α,γ)7Be | Iliadis et al.[22] |
t(α,γ)7Li | Descouvemont et al. [24] |
7Be(n,p)7Li | Descouvemont et al. [24] |
7Li(p,α)4He | Descouvemont et al. [24] |
First, we studied the effect of uncertainties in the 11 reaction rates, Ωbh2 and τn on the calculated D/H uncertainties. The results are listed in Table 2. This shows that the uncertainty in the neutron lifetime
ΔRates | D/H uncer. (%) | |||
---|---|---|---|---|
w/o | w/o | w/o | 2.460(0.05%) | 0.247(0.001%) |
default | w/o | w/o | 2.458(1.1998%) | 0.247(0.03%) |
w/o | default | w/o | 2.460(0.06%) | 0.247(0.07%) |
w/o | w/o | default | 2.460(1.50%) | 0.247(0.01%) |
w/o | default | default | 2.460(1.47%) | 0.247(0.07%) |
default | w/o | default | 2.459(1.87%) | 0.247(0.03%) |
default | default | w/o | 2.458(1.1995%) | 0.247(0.08%) |
default | default | default | 2.459(1.83%) | 0.247(0.07%) |
In the following, we investigate the sensitivity of the reaction-rate uncertainties to the primordial deuterium abundance (D/H) uncertainties by considering the uncertainties of Ωbh2 and τn simultaneously. The default reaction rate uncertainties adopted in PRIMAT for the four most important reactions are presented in Table 3.
T (GK) | p(n,γ) [21] (%) | d(p,γ) [22] (%) | d(d,n) [23] (%) | d(d,p) [23] (%) |
---|---|---|---|---|
0.001 | 0.45 | 3.70 | 1.10 | 1.10 |
0.005 | 0.45 | 3.70 | 1.10 | 1.10 |
0.010 | 0.45 | 3.70 | 1.10 | 1.10 |
0.050 | 0.46 | 3.70 | 1.10 | 1.10 |
0.100 | 0.46 | 3.70 | 1.10 | 1.10 |
0.500 | 0.44 | 3.70 | 1.10 | 1.10 |
1.000 | 0.44 | 3.70 | 1.10 | 1.10 |
1.500 | 0.46 | 3.70 | 1.10 | 1.10 |
2.000 | 0.49 | 3.70 | 1.10 | 1.10 |
3.000 | 0.56 | 3.70 | 1.40 | 1.40 |
4.000 | 0.61 | 3.70 | 1.50 | 1.50 |
5.000 | 0.64 | 4.00 | 1.60 | 1.60 |
6.000 | 0.67 | 4.20 | 1.70 | 1.70 |
7.000 | 0.69 | 4.40 | 1.80 | 1.80 |
9.000 | 0.71 | 4.60 | 1.80 | 1.80 |
9.000 | 0.72 | 4.70 | 1.80 | 1.80 |
10.000 | 0.74 | 4.90 | 1.80 | 1.90 |
To examine the sensitivity, we multiplied the default uncertainty of just one reaction rate by arbitrary factors of M.F. = 0.1, 0.8, 0.9, 1, 2, 4 and 6, respectively, and set the remaining 10 reactions with their default rate uncertainties. We found that the d(p,γ)3He, d(d,n)3He, d(d,p)t and p(n,γ)d reactions are the four major reactions that have the largest influence on the D/H uncertainty, compared to the remaining reactions. The calculated results are listed in Table 4 and shown in Fig. 1.
D/H mean×10-5 (uncer. in %) | |||||||
---|---|---|---|---|---|---|---|
M.F=0.1 | M.F.=0.8 | M.F.=0.9 | M.F.=1(Original) | M.F.=2 | M.F.=4 | M.F.=6 | |
p(n,γ)d | 2.4585(1.8234%) | 2.4586(1.8250%) | 2.4586(1.8255%) | 2.459(1.83%) | 2.459(1.83%) | 2.459(1.86%) | 2.459(1.90%) |
d(p,γ)3He | 2.4590(1.4073%) | 2.4587(1.6832%) | 2.4586(1.7520%) | 2.459(1.83%) | 2.457(2.73%) | 2.453(4.78%) | 2.447(6.83%) |
d(d,n)3He | 2.4581(1.7561%) | 2.4585(1.7973%) | 2.4585(1.8107%) | 2.459(1.83%) | 2.459(2.06%) | 2.460(2.83%) | 2.461(3.77%) |
d(d,p)t | 2.4584(1.7685%) | 2.4585(1.8038%) | 2.4586(1.8142%) | 2.459(1.83%) | 2.459(2.01%) | 2.459(2.61%) | 2.459(3.36%) |
3He(n,p)t | 2.459(1.83%) | 2.459(1.83%) | 2.459(1.83%) | 2.459(1.83%) | 2.459(1.82%) | 2.459(1.83%) | 2.459(1.83%) |
t(d,n)4He | 2.459(1.83%) | 2.459(1.83%) | 2.459(1.83%) | 2.459(1.83%) | 2.459(1.83%) | 2.459(1.83%) | 2.459(1.83%) |
3He(d,p)4He | 2.459(1.83%) | 2.459(1.83%) | 2.459(1.83%) | 2.459(1.83%) | 2.459(1.83%) | 2.459(1.84%) | 2.459(1.85%) |
3He(α,γ)7Be | 2.459(1.83%) | 2.459(1.83%) | 2.459(1.83%) | 2.459(1.83%) | 2.459(1.83%) | 2.459(1.83%) | 2.459(1.83%) |
t(α,γ)7Li | 2.459(1.83%) | 2.459(1.83%) | 2.459(1.83%) | 2.459(1.83%) | 2.459(1.83%) | 2.459(1.83%) | 2.459(1.83%) |
7Be(n,p)7Li | 2.459(1.83%) | 2.459(1.83%) | 2.459(1.83%) | 2.459(1.83%) | 2.459(1.83%) | 2.459(1.83%) | 2.459(1.83%) |
7Li(p,α)4He | 2.459(1.83%) | 2.459(1.83%) | 2.459(1.83%) | 2.459(1.83%) | 2.459(1.83%) | 2.459(1.83%) | 2.459(1.83%) |
-202403/1001-8042-35-03-015/alternativeImage/1001-8042-35-03-015-F001.jpg)
For multiplying factors of less than one (i.e., reducing the current rate uncertainty), the decreasing trend for the four reactions of interest is shown in the inset of Fig. 1. This demonstrates that the calculated D/H uncertainties can reach 1.41%, 1.76%, 1.77%, and 1.82% when the reaction rate uncertainties of d(p,γ)3He, d(d,n)3He, d(d,p)t and p(n,γ)d are reduced by a factor of 10 (i.e.,
In addition, we found that changing the uncertainty of the reaction rate also affected the central value of deuterium abundance. We believe that this is because the sampling of the reaction rates in the code was performed according to the log-normal distribution. This distribution is a typical skewed distribution, where the larger the parameter σ, the more the most likely position is to be skewed to the left. We found that the change in the central value of the deuterium abundance caused by increasing uncertainty was equivalent to the change in the central value caused by the shift in the most likely position associated with uncertainty.
Access to the observational precision
In recent astronomical observations [10], the recommended value of the deuterium abundance is D/H = (2.527±0.030)×10-5 with an accuracy of approximately 1.19%, which is better than the above PRIMAT calculated accuracy of 1.83%, that is, (2.459±0.045)×10-5. Therefore, we focus here on the four reactions that have the largest influence on the D/H uncertainty and use a binary search to confirm whether reducing their rate uncertainties can improve the BBN calculated accuracy to the level of the observation. However, we found that the accuracy of the current deuterium abundance observations could not be achieved by reducing only the uncertainties of the reaction rates, and the uncertainty of Ωbh2 should also be reduced. Note that the d(p,γ)3He reaction rate is adopted from Ref. [22] for all the abovementioned calculations.
Most recently, Mossa et al. [29, 30] measured the d(p,γ)3He cross section in the
Observation (uncer.) | Present calc. (uncer.) | |
---|---|---|
0.2449(1.633%) | 0.2471(0.075%) | |
D/H×10-5 | 2.527(1.19%) | 2.471(1.56%) |
3He/H×10-5 | <1.1(18%) | 1.0697(2.12%) |
7Li/H×10-10 | 1.58(17.7%–22.2%) | 5.5676(4.24%) |
Conclusion & outlook
In this study, we investigated the primordial deuterium abundance and its uncertainty using the BBN code PRIMAT. We found that the predicted deuterium abundance uncertainties were dominated by the reaction rate uncertainties in the four most important reactions of d(p,γ)3He, d(d,n)3He, d(d,p)t, and p(n,γ)d, as well as that in Ωbh2. Although the current BBN calculation can reach a deuterium abundance precision level of 1.56% with the recent precise LUNA d(p,γ)3He rate, there is still a gap of 0.4 % in the observational precision. We found that this gap cannot be largely reduced by only reducing the uncertainties of the reaction rates and the uncertainty of Ωbh2 should also be reduced. If the uncertainty of Ωbh2 adopted from the Planck 2015 results [4] is reduced by approximately 50%, the calculated D/H uncertainty can reach the observational level.
In nuclear physics, the reaction rate uncertainties for the remaining three reactions must be significantly reduced, except for the d(p,γ)3He reaction. For instance, relevant reactions can be measured directly at the China Jinping Underground Laboratory (CJPL) [31-33], which is the deepest operational underground laboratory for particle and nuclear physics experiments worldwide. With such a unique superlow background environment[34], several successful experimental campaigns [35-42] were conducted at the Jinping Underground Nuclear Astrophysics Experimental Facility (JUNA) [43, 44].
Figure 2 shows the observational and BBN model calculated primordial deuterium abundances and their uncertainties. The observed deuterium abundance was recommended as D/H = (2.527±0.030)×10-5 [10, 14], whereas the currently calculated value was (2.471±0.039)×10-5 and there was an approximately 1.5σ deviation in the central abundance value. In addition, the calculated values were less accurate than the observed values. Therefore, From a nuclear physics perspective, these important reactions still need to be measured precisely. Furthermore, the BBN calculated precision for other primordial nuclides can also be effectively reduced using more precise reaction rates, with which the cosmic parameters can be strictly constrained.
-202403/1001-8042-35-03-015/alternativeImage/1001-8042-35-03-015-F002.jpg)
For instance, we collected all the available data for the important production reaction of p(n,γ)d, as shown in Fig. 3. This shows that there are still few experimental data in the 0.1–1.0 MeV energy region of the BBN interest. Furthermore, Hara’s et al. photoneutron data [58] still had relatively large error bars of (7–14)%. However, the PRIMAT code adopts only a very small (0.45–0.73)% reaction rate uncertainty for this p(n,γ)d reaction based on theoretical calculations [21]. Such a small uncertainty requires further validation using more precise experimental data in the BBN energy region. We are now planning to conduct photodisintegration measurements at the Shanghai Laser Electron Gamma Source (SLEGS) facility [63, 64], which uses the back-Compton scattering of electrons from the 3.5 GeV electron storage ring of the Shanghai Synchrotron Radiation Facility (SSRF) and the CO2 laser to generate the γ beam in the energy range of 0.4~20 MeV [65]. The γ flux is expected to reach 105~107/s, depending on both the γ-ray energy and the collimator size [66, 67].
-202403/1001-8042-35-03-015/alternativeImage/1001-8042-35-03-015-F003.jpg)
In the proposed experiment, a 4π flat-efficiency 3He neutron detector array was intended for use as a photoneutron detector with a detection efficiency of approximately 42% [68] in the energy region of interest. An LaBr3 scintillator detector was used for γ flux monitoring and waveform acquisition. We aim to measure the cross section in the energy region of 0.01–10 MeV (as shown in the shaded region in Fig. 3) with precision greater than 5% to further reduce the deuterium abundance uncertainty associated with the p(n, γ)d rate. As stated in Ref. [21], “the results of the R-matrix theory [69] at E = 0.1 and 1 MeV differ significantly from the other theoretical estimations by ≈4.6%. Therefore, it would be important to experimentally measure the np-capture cross sections at these energies to resolve this significant discrepancy”. Thus, precise data can also help constrain nuclear reaction models.
Finally, it is observed that different BBN codes generated quite different abundance values, maybe mainly owing to the different nuclear-physics inputs used. Therefore, the consistencies of different BBN codes can be verified using the same inputs. In addition, the Monte Carlo-type PRIMAT code always yields much smaller uncertainties than other codes; hence, the Monte Carlo method should be implemented in other codes to perform a cross-check. Moreover, it is important not only to check how the uncertainties in the reaction rates affect the D/H uncertainty but also how a shift in the central rate values may influence the D/H values. All these issues, which are beyond the scope of this study, need to be studied in the future.
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