alphaFeedback

WorksPhysics and Astronomy

Light and charge yields from nuclear recoils in noble liquids: From sub-keV energies to 1 MeV

AI contributions
Not recorded for this paper
View details

Abstract

We present a first-principles study of total quanta and charge recombination in noble liquids, based on a solution of Lindhard's integro-differential equation for atomic motion with electronic straggling and detailed modeling of inter-atomic potentials. We introduce the electronic scaling length ξeξ_e as a fundamental parameter related to a physical observable of the system. We study the energy and electric-field dependence of the exciton-to-ion ratio for nuclear recoils based on the Bates-Griffing process and semiclassical atomic interactions. The resulting light and charge yields are expressed through the recombination probability in the Thomas-Imel box model using the calculated parameter ξeξ_e and one fitted constant. We compare our model with recent measurements of the electric-field dependence of the box size in LAr and LXe and provide a physical explanation for this behavior. Our model extends to sub-keV energies and provides a consistent description of available data from a few keV to 1 MeV, yielding better overall agreement with existing LAr data than NEST and offering predictions for LXe.

Introduction

Over the last decade, dual-phase time projection chambers (TPCs) based on liquid argon (LAr) and liquid xenon (LXe) have emerged as the leading technology for the direct detection of dark matter (DM) [1, 2, 3] and the observation of coherent elastic neutrino-nucleus scattering (CEνNS) [4, 5, 6]. The exceptional scalability, high target density, and superior electron-recoil discrimination of these media make them ideal for probing physics beyond the Standard Model (BSM) via nuclear recoil channels.

The observation of CEνNS [7] has opened a new window for precision phenomenology. As a low-threshold energy process, CEνNS serves as a powerful tool for measuring the electroweak mixing angle at low momentum transfer and providing stringent constraints on non-standard interactions (NSI), neutrino magnetic moments, and sterile neutrinos [8, 9, 10]. However, the success of these precision programs and the possibility of distinguishing a DM signal from the so-called “neutrino fog” depend critically on accurate calibration of the detector response [11, 12]. Specifically, the conversion of nuclear recoil energy into detectable quanta (photons and electrons) in the sub-keV regime remains the dominant source of systematic uncertainty.

It is essential to have a comprehensive theoretical model that describes the ionization and scintillation yields of low-energy nuclear recoils. This is a difficult task. Standard Lindhard theory [13], while foundational, fails to describe the quenching behavior at energies below 10 keV because it neglects the underlying atomic structure and non-linear electronic stopping effects [14, 15, 16]. For its part, semi-empirical frameworks, such as the Noble Element Simulation Technique (NEST) [17], rely on extensive fitting to experimental data. Although effective, these models often lack a fundamental predictive basis and may require different parameterizations for different experimental setups.

Nuclear collisions are governed by the competition between electronic and nuclear stopping processes. Atom-atom interactions involve more degrees of freedom than those between electrons and atoms, and the energy deposited by them is not fully converted into electron-equivalent energy. In the following, we outline the main stages of the physical processes for the production of quanta in noble liquids [15, 18]:

  1. The process begins when a non-ionizing particle hits an atom of a noble element and transfers an initial recoil energy. If this energy is greater than the minimum required to create quanta, further collisions will occur until the ions or valence electrons scatter with an energy below this minimum value. In cascade collisions, the momentum transferred to the nuclei and the momentum transferred to the electrons are proportional to the nuclear and electronic stopping powers, respectively.

  1. Since the recoil velocity of atoms is much lower than the typical Fermi velocity of valence electrons, it is appropriate to describe nuclear collisions as an adiabatic, elastic, or inelastic process, depending on whether the total kinetic energy is conserved or not during the process.

  1. In a binary atomic collision, the system has many degrees of freedom, and hence, the average energy to create an ion during the cascade is generally not constant. We classify the dielectric process as follows:

  • Passive channel: During the binary collision, the projectile electron remains in its ground state. Since it is strongly bound, it behaves as a “heavy” particle that transfers momentum to the nucleus. A quasi-molecule is formed during the process because of the partial shielding of the nuclear charges by the inner electron cloud. This reduces the target

ionization cross section compared to a bare nucleus [19]. Subsequently, due to the exchange of momentum, the target electrons can remain in their orbitals, become excited, or ionize. Therefore, depending on the magnitude of the momentum interchanged, either elastic or inelastic processes can occur in this channel. The passive inelastic channel is also known as the “single-inelastic channel” because only one of the atoms is excited or ionized.

  • Active channel: This is essentially determined by direct Coulomb interactions between target and projectile valence electrons, which are emitted with an average energy proportional to the valence band width. For the energies involved, the closest approach distance is not short enough for the resulting ions to form a quasi-molecule. Consequently, only inelastic processes can happen in this channel, which is also known as the “double-inelastic channel”.

The passive and active channels modify the ionization cross section in opposite ways. One or the other can dominate, depending on the relative magnitudes of the projectile and target nuclear charges, and the projectile’s energy.

(iv) The probability of elastic scattering between atoms is proportional to the ratio of electronic to nuclear stopping power. At low energies, elastic collisions in the passive channel dominate.

(v) The elastic electron momentum exchange determines the electronic straggling in atom collisions [20]. This process is proportional to the ratio of the electronic straggling to the electronic stopping power multiplied by energy. As energy increases, this ratio decreases.

(vi) The total electronic energy, also called the equivalent electronic energy (eVee), corresponds to the sum of the energies of all nuclear recoils in the cascade with electron emission. The remaining energy, associated with nuclear motion, is converted into heat. Electrons, ions, and excitons form a plasma along a path determined by the first recoiling atom.

(vii) In the absence of an external electric field, the electron escape probability is negligible. Consequently, all electrons generated by a nuclear recoil recombine with ions, contributing to the scintillation light.

(viii) By contrast, in a dual-phase TPC, the applied electric field displaces electrons into the gas phase (S2), while photons are captured in the liquid phase by an array of photomultiplier tubes (S1). A region is created where partial electron recombination occurs, the size of which decreases as the intensity of the external field increases, with the consequent reduction of the recombination probability.

(ix) The probability that an ion captures two electrons during recombination is negligible. Thus, we can consider that there is only one electron per ion and one photon per exciton.

(x) In a cascade with high exciton density, there exists a considerable probability of exciton-exciton collisions, producing a single survival excitation.

(xi) If the noble liquid is pure enough (less than 10 ppb) to reduce light-quenching agents such as water and oxygen, then electrons and photons travel through the TPC as the primary detection signal.

Using the second-order integro-differential equation [21], derived from the Linhard integral equation [13] for atomic motion, we incorporate the effects of electronic and nuclear stopping powers, binding energy, and electronic straggling. From the solution to this equation, incorporating realistic inter-atomic potentials, we implement a unified description of the light and charge yields. A distinctive feature of our model is that it characterizes the medium’s response across a broad energy range from sub-keV energies to 1 MeV, in terms of only one adjustable parameter, which is associated with the recombination process. Our method accounts for the energy and electric field dependence of the recombination process through a modification of the Thomas-Imel box model which is valid for different noble liquids. The results show a significant improvement over traditional empirical models, providing the theoretical precision required by the next generation of CEvNS and DM experiments.

The paper is organized as follows. In § 2, we describe the production of quanta in noble liquids and introduce the total quanta model for noble liquid detectors, covering energy conservation, the passive elastic and inelastic channels derived from the second-order integro-differential equation, the electronic scaling parameter ξe\xi_{\mathrm{e}}, and the active-inelastic channel. § 3 presents the active Bates-Griffing electron scattering model, describing the energy dependence of the exciton-to-ion ratio and incorporating spin exchange effects in binary atomic collisions. Section IV describes the recombination process within an extended Thomas-Imel box model, where the box size is derived from electrostatic equilibrium, along with a polarizability model for the electric field dependence of Nex/NiN_{\mathrm{ex}}/N_{\mathrm{i}} and an analytical calculation of Birks’ constant. In § 5, we show the unified recombination predictions for light and charge yields across different noble liquids, comparing our results with experimental data and NEST predictions. Finally, Sec. VI summarizes our main conclusions and highlights the implications for future dark matter and CEvNS experiments. Detailed mathematical derivations and atomic calculations are provided in the Appendices.

Total quanta model for noble liquid detectors

Energy distribution

In dual-phase noble liquid detectors, the nuclear recoil energy ERE_R that a particle (e.g., DM or neutrino) transfers to the target nucleus is partitioned into three channels: excitation of atoms NexRN_{\rm ex}^{R} (excitons), formation of electron-ion pairs NiRN_i^{R} (ions), and atomic motion EνE_\nu. Consequently, the conservation of energy is expressed by the Platzman equation [22]

ER=NexREexR+NiREiR+Eν(1)E_R = N_{\rm ex}^{R} E_{\rm ex}^{R} + N_i^{R} E_i^{R} + E_\nu \tag*{(1)}

where EexRE_{\rm ex}^{R} and EiRE_i^{R} are the average nuclear recoil energies used to create excited states and electron-ion pairs, respectively.

For electron recoils, the transferred energy EeE_e is divided between the production of excitons and ions; therefore, the total quanta is Nqe=Nexe+NieN_q^e = N_{\rm ex}^e + N_i^e. The average energy to create an exciton or ion can be defined as W≡Ee/NqeW \equiv E_e/N_q^e and from this the mean electron ionization energy is given by Wie=W(1+Nexe/Nie)W_i^e = W(1+N_{\rm ex}^e/N_i^e), where Nexe/NieN_{\rm ex}^e/N_i^e is called the (electronic) exciton-to-ion ratio. For LAr, W=19.5±1.0W = 19.5 \pm1.0 eV and (Wie)LAr=23.6±0.3(W_i^e)_{\rm LAr} = 23.6 \pm0.3 eV and (Wie)LXe=15.6±0.3(W_i^e)_{\rm LXe} = 15.6 \pm0.3 [23]. For LXe, we use the average value from Dahl [24] (W=13.7±0.2W = 13.7 \pm0.2 eV) and the more recent value from Zurich II [25] (W=11.5±0.25W = 11.5 \pm0.25 eV), W=12.84±0.2W = 12.84 \pm0.2 eV, this value is closer to that calculated with the electron-free gas model, see Appendix B. This yields electronic exciton-to-ion ratios of (Nexe/Nie)LAr=0.21(N_{\rm ex}^e/N_i^e)_{\rm LAr} = 0.21, and (Nexe/Nie)LXe=0.06(N_{\rm ex}^e/N_i^e)_{\rm LXe} = 0.06.

In this work, we study the light and charge yields of the photons and electrons originating from nuclear recoils. In general, the exciton to ion ratio is not equal to the value obtained from electron interactions. The binary collision includes a pair of nuclei with screened charges; consequently, more excitation levels are available and NexR≃NiRN_{\rm ex}^{R} \simeq N_i^{R}. The nuclear quanta efficiency fn(ER)f_n(E_R) (also known as the Lindhard factor) is defined as

fn(ER)≡EeeER(2)f_n(E_R) \equiv\frac{E_{ee}}{E_R} \tag*{(2)}

where Eee=NqRWE_{ee} = N_q^R W is the electron energy equivalent. Here, NqR=NiR+NexRN_q^R = N_i^R + N_{\rm ex}^R is the total nuclear quanta and ER=E+UE_R = E + U, with EE the kinetic energy of the moving ion and UU the energy absorbed by atomic electrons. From this equation, one obtains the relation fn(ER)ER=WiRNiRf_n(E_R)E_R = W_i^R N_i^R, where

WiR=(1+β)W(3)W_i^R = (1+\beta)W \tag*{(3)}

is the mean ionization energy, with β=NexR/NiR\beta= N_{\rm ex}^R/N_i^R.

The basic parameters needed to determine fn(ER)f_n(E_R) in noble liquids are the electronic stopping power, SeS_e, the nuclear stopping power, SnS_n, the electronic straggling, W\mathcal{W}, the atomic binding energy, the spin exchange energy, EexE_{\rm ex}, and the atomic number, ZZ. Two contributions to fn(ER)f_n(E_R) can be identified: passive and active. The passive component fnPI(ER)f_n^{\rm PI}(E_R) is determined by the competition between SeS_e, W\mathcal{W}, and SnS_n, during electronic momentum transfer in the quasi-molecule. In contrast, the active component fnAI(ER)f_n^{\rm AI}(E_R) is governed by the direct electron-electron interaction, which induces ionization without the formation of the quasi-molecule, provided the projectile energy is greater than WiRW_i^R. In the rest of the article we will restrict ourselves to the nuclear recoil process and omit the index RR, except for the recoil energy ERE_R of the nucleus that initiates the cascade.

Passive elastic and inelastic channels

We determine fnPI(ER)f_n^{\rm PI}(E_R) from the solution to the second-order integro-differential equation derived from the Lindhard integral equation [21]:

−12εSe(ε)(1+W(ε)Se(ε)ε)νˉ′′(ε)+Se(ε)νˉ′(ε)=∫εu(ε)ε2dtf(t1/2)2t3/2[νˉ(ε−t/ε)+νˉ(t/ε−u(ε))−νˉ(ε)](4)-\frac{1}{2}\varepsilon S_e(\varepsilon)\left(1+\frac{\mathcal{W}(\varepsilon)}{S_e(\varepsilon)\varepsilon}\right)\bar{\nu}''(\varepsilon)+S_e(\varepsilon)\bar{\nu}'(\varepsilon) = \int_{\varepsilon u(\varepsilon)}^{\varepsilon^2} dt \frac{f(t^{1/2})}{2t^{3/2}}\left[\bar{\nu}(\varepsilon-t/\varepsilon)+\bar{\nu}(t/\varepsilon-u(\varepsilon))-\bar{\nu}(\varepsilon)\right] \tag*{(4)}

where ε=QE\varepsilon= QE, νˉ(ε)=QEν\bar{\nu}(\varepsilon) = QE_\nu, and u(ε)=QUu(\varepsilon) = QU, with Q=16.26[Z1Z2(Z10.23+Z20.23) keV]−1Q = 16.26[Z_1Z_2(Z_1^{0.23}+Z_2^{0.23})\,\mathrm{keV}]^{-1} [26]. The integration variable is t=ε2sin⁡2(θ/2)t = \varepsilon^2\sin^2(\theta/2), with θ\theta the scattering angle in the center of mass frame. It is pertinent to point out that the original Lindhard formula for νˉ(ε)\bar{\nu}(\varepsilon) [27] is an approximate solution to the first-order integro-differential equation, with u=0u=0 and an electronic stopping power valid for energies above 10 keV (bare ions). This precludes its applicability to lower energies.

The solution to the second order equation in Eq. (4) that we derive here incorporates the effects of atomic binding energy, electronic straggling in nuclear collisions, and electronic stopping. For the nuclear stopping power, we use LSS theory [27], with ion-ion differential cross-section parametrized according to Ziegler f(t1/2)f(t^{1/2}) [16]. The effect of the binding energy is modeled as the sum of an ε\varepsilon-dependent term, uTF(ε)=QUTF(ε)u_{TF}(\varepsilon)=Q U_{TF}(\varepsilon), plus a constant term, ucu_c, fixed by an energy threshold proportional to the average energy needed to create an exciton in a noble liquid (see Appendix A). UTF(ε)U_{TF}(\varepsilon) is given by the average energy to excite electrons in the atomic collision, calculated from the Thomas-Fermi (TF) formalism, and, as shown in Figure 1, it depends on the atomic number of the noble element.

Figure 1. Energy absorbed by the electronic degrees of freedom for different noble elements, U(E)=Uc+UTF(E)U(E) = U_c + U_TF(E) as a function of the kinetic energy of the ion in keV, the constant term UcU_c is the energy required to create an exciton.

We adopt the model of Tilinin [28], in which, for impact parameters small compared with aa, the electronic stopping power is governed by the mean free path of the electron, λT\lambda_T, during the formation of the quasi-molecule, and the energy transferred elastically by the electron per collision, ΔET=(m(v+vF)2−mvF2)/2≃mvvF\Delta E_T=(m(v+v_F)^2-mv_F^2)/2\simeq mvv_F, where mm is the electron mass, vv is the ion velocity and vFv_F is the Fermi velocity of the electron, with v≪vFv\ll v_F in the quasi-molecular system. SeS_e is obtained by integrating the volume of the quasi-molecule and multiplying the result by the atomic density, NbN_b, namely,

Se=Nb∫VΔETλT dV,(5)S_e=N_b\int_V\frac{\Delta E_T}{\lambda_T}\,\mathrm{d}V, \tag*{(5)}

with λT−1=neTσtr\lambda_T^{-1}=n_{eT}\sigma_{tr}, where neTn_{eT} is the electronic density in the quasi-molecule and σtr\sigma_{tr} is the momentum transfer cross section (MTCS) of the electron. The electronic density determines the Coulomb repulsion effects [15, 21] and can be approximated by the sum of the contributions of the projectile, neTPn_{eT}^{P}, and the target, neTTn_{eT}^{T}. For atoms with the same mass and atomic number, we have neTP=2neTTn_{eT}^{P}=2n_{eT}^{T}. This model better describes the low energy region than the one in [27] and works well for silicon [21, 29]. However, it uses a semiclassical momentum transfer cross section for electron-atom scattering, and its applicability is limited to energies higher than a threshold proportional to the atomic number (1.4 keV for Ne and 70 keV for LXe). To examine the low-energy regime, we implemented a solution for the MTCS using a partial-wave analysis with the ZBL potential for the atomic numbers of Ne, Ar, Kr, and Xe. In Figure 2, we compared our computed values of σtr\sigma_{tr} with available experimental data for these noble-gas elements [30, 31, 32, 33, 34]. The comparison is presented as a function of the reduced energy, εe=32.52Ee keV Z−4/3\varepsilon_e=32.52 E_e\,\mathrm{keV}\,Z^{-4/3}. In addition, we report the mean trend obtained by averaging across all species, which highlights the near-universal behavior of the MTCS at electron energies exceeding 10 eV. We have used the standard Fermi scale, a=0.885a0Z−1/3a=0.885a_0 Z^{-1/3}, where a0a_0 is the Bohr radius, and add the data for other elements reported in [35]. In this way, the validity of our model extends from εe=0.1\varepsilon_e=0.1 to εe=10−3\varepsilon_e=10^{-3}. For ER=22ZEeE_R=2\sqrt{2}ZE_e, this interval corresponds approximately to nuclear recoil energies from 10 keV to 0.1 keV, for LXe. As shown in the Figure, this energy region corresponds to the peak of

Momentum-transfer cross sections for electron–atom scattering

Figure 2. Momentum-transfer cross sections (MTCSs) for electron–atom scattering in Ne, Ar, Kr, and Xe. The black curve denotes the mean cross section across these noble-gas targets. Colored markers indicate measurements from distinct experimental datasets; the Tilinin dataset additionally includes O2_2, N2_2, Ar, and Ne. Solid lines show MTCS predictions obtained using the semiclassical Tilinin formalism (dotted) and, partial-wave calculation employing the ZBL interaction potential.

the cross section for both LAr and LXe. Since existing data are for noble gases, extending the applicability for liquid phase to lower energies would require considering the liquid structure and polarization potentials [36, 37]. For electronic straggling WW, in a first-order approximation, we assume that the electronic and nuclear straggling contributions are equal. Consequently, we adopt the expression provided by [20], in which WW is evaluated on the basis of the nuclear straggling. Given that WW appears only through the second-order derivative in Eq. (4), rescaling the electronic straggling by a factor M0M_0 induces only a small modification of fn(ER)f_n(E_R), with the effect being more pronounced at low recoil energies.

Electronic scaling parameter

As discussed in [21], the electronic stopping power must be corrected with the fermion factor ξe\xi_e, which accounts for the energy dependence of the electronic excitations and depends on the media. Then, the scaling length becomes a=0.885a0Z−1/3ξe2/3a=0.885a_0 Z^{-1/3}\xi_e^{2/3}, and the electronic stopping power can be written as Se(ε,ξe)=ξeSe(ε)S_e(\varepsilon,\xi_e)=\xi_e S_e(\varepsilon). Lindhard et al [38] derived the expression Se(ε,ξe)=Kξe1/2S_e(\varepsilon,\xi_e)=\mathcal{K}\xi_e^{1/2} for bare ions, where K=0.133(Z/A)1/2ξe\mathcal{K}=0.133(Z/A)^{1/2}\xi_e, with ξe≃Z1/6\xi_e\simeq Z^{1/6}.

For high-energy collisions, all electrons up to the Fermi level can be effectively excited (Lindhard assumption) and ξe→1\xi_e\to1, whereas for low energies, only electrons close to the Fermi level can be excited and $\xi_e\to(5/3)^{3/2}\simeq

2.15. Instead of the fit for ξe\xi_e given in [21], here we define the scaling factor from Thomas-Fermi (TF) theory, using the plane-wave approximation for electrons:

ξe2/3=53∫kF−ΔkkFE(k)k2 dkE(kF)∫kF−ΔkkFk2 dk(6)\xi_e^{2/3} = \frac{5}{3}\frac{\int_{k_F-\Delta k}^{k_F} E(k)k^2\,\mathrm{d}k}{E(k_F)\int_{k_F-\Delta k}^{k_F} k^2\,\mathrm{d}k} \tag*{(6)}

where E(k)=ℏ2k2/2mE(k)=\hbar^2 k^2/2m, kFk_F is the average Fermi wave-number of electrons, Δk\Delta k is the maximum electron dispersion in the collision, which depends on the projectile energy, and E(kF)=U0/ξe2/3E(k_F)=U_0/\xi_e^{2/3}, with U0=24.04Z1.23U_0=24.04Z^{1.23} eV for a two atom system and U0=20.92Z4/3U_0=20.92Z^{4/3} eV for a single atom.

Associated with Δk\Delta k there is an average energy available for excitation below the Fermi level, which we denote as the average Fermi energy of skin penetration ΔEF\Delta E_F [39]. Another interpretation of Δk\Delta k is as follows. Suppose that electrons scatter elastically, then Δk=kFsin⁡(θc/2)\Delta k=k_F\sin(\theta_c/2), where θc\theta_c is the scattering angle in the CM frame, as shown in Appendix C. For θc=π\theta_c=\pi, we have Δk=kF\Delta k=k_F, and only radial collisions are allowed [40]. For angles above θc\theta_c we have damping due to energy transfer from electrons to inner shells, then only electrons up to the energy ΔEF\Delta E_F have to be taken into account.

For noble elements, the ξe\xi_e factor has to decrease as the atomic number increases, because the TF model has been shown to be exact in the limit Z→∞Z\to\infty [41]. For the cascade process, the value of the momentum transferred is related to the average kinetic energy of the electrons in the atom, and consequently the electronic stopping power depends on this energy. Thus, the upper limit for ξe\xi_e can be estimated (in the gas phase) using the expected TF average kinetic energy for electrons in an atom,

TF/Z=⟨TF⟩=20.92(Z2/ξe)2/3 eV.(7)T_F/Z=\langle T_F\rangle=20.92\left(Z^2/\xi_e\right)^{2/3}\ \mathrm{eV}. \tag*{(7)}

For ξe=1\xi_e=1 the average kinetic energy is overestimated, because Eq. (7) ignores the exchange effect and sudden variations in electron density near the nuclei and in the valence orbital region. The maximum value for ξe\xi_e can be calculated using the formula (7) for the hydrogen atom and ⟨TF⟩=⟨Te⟩=13.6057\langle T_F\rangle=\langle T_e\rangle=13.6057 eV, which gives us ξemax⁡=1.91\xi_e^{\max}=1.91.

For multielectron atoms we can determine ⟨TF⟩\langle T_F\rangle using atomic orbital calculations based on local density approximations [42, 43], see Table I. It can be shown that the values for ΔEF\Delta E_F follow the approximate relation ΔEF≃0.29Z2/3\Delta E_F\simeq0.29Z^{2/3} eV.

Element⟨TF⟩RLDA\langle T_F\rangle_{RLDA} eVξe\xi_eΔEF\Delta E_F eV
He37.71.661.2
Ne348.41.4726.2
Ar797.11.3885.3
Kr2114.41.27347.0
Xe3793.91.19855.6

Table I. Z orbital average kinetic energies for different noble elements calculated in refs. [42, 43], using the average value among the local-density, relativistic local-density, local-spin-density and scalar-relativistic local-density approximations. The ξe\xi_e factor has been computed by using Eq. (7) and ⟨TF⟩RLDA\langle T_F\rangle_{RLDA}. In the last column, we tabulate the corresponding average skin Fermi penetration energy ΔEF\Delta E_F.

The electron-electron interaction can be significant for low ZZ elements, resulting in an ideal fermion system with lower ΔEF\Delta E_F. According to the TF approach and Eq. (6) electrons with kinetic orbital energy up to ΔEF\Delta E_F behave as free particles. Therefore, for light elements, only the outer electrons fulfill this assumption. In the limit Z→∞Z\to\infty, we have ΔEF→EF\Delta E_F\to E_F as expected.

The estimation of ξe\xi_e for noble liquid elements can be done by adding to ΔEF\Delta E_F the gap energy to create a pair of electrons, EgE_g. Then, we can compute the ξe\xi_e factor for the liquid phase by means of Eq. (6), see Table II. This addition only affects those elements with an atomic number lower than Z=36Z=36 and, in particular, for LAr the correction is only of 3%. In the case of He, the MIMAC experiment [44] indicates a lower value than the Lindhard model (ξe=1.12\xi_e=1.12), in better agreement with the present model.

Element(ΔEF+Eg)(\Delta E_F+E_g) eVξe\xi_e (liquid phase)
He25.81.03
Ne47.71.33
Ar99.61.34
Kr358.71.26
Xe864.91.19

Table II. Effective Fermi energy of skin penetration for noble liquid elements calculated using the energy gap values from [45, 46, 47]. The last column shows the solutions of Eq. (6) for the tabulated energies.

Active-Inelastic channel

For elements with a high atomic number such as LXe, the Tilinin model, used to account for the contribution of the passive channel, yields a low value of fn(ER)f_n(E_R). The discrepancies between the predictions of the model and the observed data are illustrated in Figure 3. This indicates that other electron emission processes, particularly inelastic electron emission, should be considered.

Figure 3. (gray lines) Passive total quanta efficiency using Tilinin electronic stopping power for LXe considering several ξe\xi_e, (dotted) Lindhard model and data from [49].

When an electron associated with the projectile atom interacts with the inner-shell electrons of the target atom, an electronic interaction potential energy uAeu_A^e arises. This quantity is taken to correspond to the atomic electronic binding energy, uTF(ε)u_{TF}(\varepsilon), as described within the Thomas-Fermi framework. By contrast, direct interactions between the valence electrons of the projectile and those of the target predominantly drive inelastic electron emission during the cascade process. These electrons are emitted with an energy uA=εˉDu_A=\bar{\varepsilon}_D, where εˉD\bar{\varepsilon}_D is the average electron kinetic energy associated with the valence-orbital energy εD0\varepsilon_D^0. From [48] we can estimate εD0\varepsilon_D^0 using two models; Shockley εD0=3Eex/5\varepsilon_D^0=3E_{\mathrm{ex}}/5 and Alkhazov’s εD0=Eex/2\varepsilon_D^0 = E_{ex}/2, where EexE_{ex} is the exciton energy, see Table III.

ElementEex1E_{ex1} (eV)(εD0)sub(\varepsilon_D^0)_{\mathrm{sub}} (eV)(εD0)Shockley(\varepsilon_D^0)_{\mathrm{Shockley}} (eV)
He19.809.9011.88
Ne17.508.7510.50
Ar12.066.037.24
Kr10.175.096.10
Xe8.374.195.02

Table III. First exciton transition energy and estimated average electron kinetic energy across noble liquid elements.

Consequently, the total energy satisfies the following

ε=(ηˉ(ε)+uAe−uPe)+(νˉ(ε)−uPν)=ηˉ(ε)+εˉD+νˉ(ε)−u,(8)\begin{aligned} \varepsilon&= \left(\bar{\eta}(\varepsilon) + u_A^e - u_P^e\right) + \left(\bar{\nu}(\varepsilon) - u_P^\nu\right) \\ &= \bar{\eta}(\varepsilon) + \bar{\varepsilon}_D + \bar{\nu}(\varepsilon) - u, \tag*{(8)} \end{aligned}

where uPνu_P^\nu is the nuclear recoil energy associated with the first process, and we define the total atomic binding energy as u=uPe+uPν=uTF(ε)+ucu = u_P^e + u_P^\nu= u_{\mathrm{TF}}(\varepsilon) + u_c. The resulting total-quanta efficiency is

fn(εR)=ηˉ(ε)+εˉDεR,(9)f_n(\varepsilon_R) = \frac{\bar{\eta}(\varepsilon) + \bar{\varepsilon}_D}{\varepsilon_R}, \tag*{(9)}

where we identify εˉD/εR=fnAI(εR)\bar{\varepsilon}_D/\varepsilon_R = f_n^{\mathrm{AI}}(\varepsilon_R) as the active channel contribution. Inelastic electron emission is energetically allowed only when the projectile energy exceeds the threshold WiW_i, which is equivalently expressed as requiring an interaction distance smaller than rMr_M. At rE=rMr_E = r_M, the emission probability p(rM)p(r_M) attains its maximum. For E>WiE > W_i (i.e., rE<rMr_E < r_M), electron emission may still occur, but with a reduced probability. The expected number of emitted electrons is given by p(rE)E/Wip(r_E)E/W_i, and the corresponding mean electron energy is εˉD=p(rE)εD0E/Wi\bar{\varepsilon}_D = p(r_E)\varepsilon_D^0 E/W_i. Incorporating this inelastic energy-loss channel into the quenching factor yields:

fn(εR)=EeeER=ηˉ(ε)εR+p(rE)εD0EWiεR.(10)f_n(\varepsilon_R) = \frac{E_{ee}}{E_R} = \frac{\bar{\eta}(\varepsilon)}{\varepsilon_R} + \frac{p(r_E)\varepsilon_D^0 E}{W_i\varepsilon_R}. \tag*{(10)}

Given that the process is governed by Coulomb interactions between electrons, the scaling relation E/Z2≃1/rEE/Z^2 \simeq1/r_E follows. Consequently, p(rE)p(r_E) is expected to increase proportionally to Z2Z^2. The IDES formulation for fn(ER)f_n(E_R) is determined by the underlying interatomic interaction potential, the effective scaling length ξe\xi_e, and the atomic number and atomic mass of the target medium. In the present work, the effective atom–atom interaction is modeled using the Ziegler potential [16].

Active Bates-Griffing Electron Scattering

Energy-dependent β\beta model

In the active channel of collisions between pairs of identical atoms, one electron from each atom is released from its orbital through its energy-dependent electrostatic interactions with the electrons and nucleus of the atom it collides with. This process is modeled in terms of the Bates-Griffing (BG) scattering adapted to the present case for energies of the order of keV. We use a semiclassical approach, assuming that only valence electrons participate in the process. These are located at the radii of their valence orbitals. Since the electron clouds are not expected to change significantly during the collision, the average positions of the electrons can be considered nucleus-centered. When the two atoms are separated by a distance x′x', ignoring spin effects, a valence electron from one atom interacts through the Coulomb potential of the valence electrons and the shielded nucleus of the other atom, see Figure 4.

Diagrammatic description of the semi-classical BG model

Figure 4. Diagrammatic description of the semi-classical BG model. The electrons in the target are centered around the nuclei position (≅0\cong0) with orbital radius x0′x'_0. These electrons interact with Coulomb potential by a separation x′x' and with the screen potential by the distance y′y'.

The atom-atom system is described by a multi-electron wave function ψ(re,R)\psi(r_e,R), where RR is the nucleus separation and rer_e denotes the set of vector positions of electrons in both atoms. In the Born-Oppenheimer approximation ψ(re,R)=ψe(re)ψN(R)\psi(r_e,R) = \psi_e(r_e)\psi_N(R) [50]. We define x=R/aZx = R/a_Z, in terms of the Ziegler units aZ=0.885qξe2a0/(2Z0.23)a_Z = 0.885 q \xi_e^2 a_0/(2Z^{0.23}), with Z1=Z2=ZZ_1 = Z_2 = Z. Here, qq is a correction factor for atom resizing, which, ignoring relativistic corrections, can be determined by the Hartree-Fock model [51]. The respective values for LNe, LAr, LKr, and LXe are 0.667, 0.92, 0.95, and 1.08. For LXe, a relativistic contraction correction is needed, giving q=1.05q = 1.05 [52, 53], while for LAr, using data from Ref. [20], we get q=0.942q = 0.942.

We use the semi-empirical potential energy [16],

eϕZ(x,ξe)=(Z1Z2e2aZx)χZ(x),(11)e\phi_Z(x,\xi_e) = \left(\frac{Z_1Z_2e^2}{a_Zx}\right)\chi_Z(x), \tag*{(11)}

where χZ(x)\chi_Z(x) is the Ziegler screening function:

χZ(x)=0.18175e−3.1998x+0.50986e−0.94229x+0.28022e−0.40290x+0.02817e−0.20162x.\chi_Z(x) = 0.18175e^{-3.1998x}+0.50986e^{-0.94229x}+0.28022e^{-0.40290x}+0.02817e^{-0.20162x}.

Consider an incoming atom with kinetic energy EE, then the minimum approach distance, xmx_m, is obtained from the equality E=eϕZ(xm,ξe)E=e\phi_Z(x_m,\xi_e).

At the end of the cascade process, for a given incoming energy EE, the atoms involved in the collisions may have an effective number of electrons N<ZN<Z determined by the Bohr stripping criteria [54, 55], see Appendix § 2.4. Assuming that NN remains constant during the recombination process, the potential describing a neutral atom (Z=NZ=N) must be replaced by a potential characterized by an effective charge Z−NZ-N. This modification can be implemented using the Amaldi model. Within this framework, the electron–ion potential energy can be written as

eϕZe(x′,ξe,N)=−Ze2bx′[(NZ)χZ(x′)+(Z−NZ)],(12)e\phi_Z^e(x',\xi_e,N)=-\frac{Z e^2}{bx'}\left[\left(\frac{N}{Z}\right)\chi_Z(x')+\left(\frac{Z-N}{Z}\right)\right], \tag*{(12)}

with x′=r/bx'=r/b and b=q 0.885 ξe2/3a0N−1/3b=q\,0.885\,\xi_e^{2/3}a_0N^{-1/3}. For details on the validity of this potential, see Appendix § 12.

The orbital radius of the valence electron with l≠0l\ne0 is determined by condition eϕZe(x0′,ξe,N)/2=−Uee\phi_Z^e(x'_0,\xi_e,N)/2=-U_e, where UeU_e is the average electron binding energy of the valence electrons: 21.6 eV, 15.82 eV, 14.1 eV, and 12.57 eV for Ne, Ar, Kr, and Xe, respectively [56, 57].

The total energy of the system is given by the sum of negative projectile binding EU=−Ue/2E_U=-U_e/2, negative projectile-target binding Ey=eϕZe(y′,ξe,N)/2E_y=e\phi_Z^e(y',\xi_e,N)/2, with y′=x′2+x0′2y'=\sqrt{x'^2+x_0'^2}, and positive Coulomb electron-electron repulsion (TC=0T_C=0) EC=e2/(bx′)E_C=e^2/(bx'). For an electron to be emitted from the projectile, the total energy must be zero, which gives the transcendental equation,

Ue2=eϕZe(y′,ξe,N)2+e2bx′.(13)\frac{U_e}{2}=\frac{e\phi_Z^e(y',\xi_e,N)}{2}+\frac{e^2}{bx'}. \tag*{(13)}

We can determine x′x' by solving Eq. (13) for a given NN. Subsequently, the associated ion-ion potential energy, denoted as WiW_i, required to ionize an electron from one of the ions can be calculated.

Wi(ER,ξe)2=eϕZ(x,ξe)2,(14)\frac{W_i(E_R,\xi_e)}{2}=\frac{e\phi_Z(x,\xi_e)}{2}, \tag*{(14)}

with x=x′b/aZx=x'b/a_Z. Using the definition (14),

NexNi(ER,ξe)=(Wi(ER,ξe)W−1),(15)\frac{N_{\rm ex}}{N_i}(E_R,\xi_e)=\left(\frac{W_i(E_R,\xi_e)}{W}-1\right), \tag*{(15)}

we can obtain the exciton to ion ratio. Since NN is expected to decrease with ERE_R the screening in the potential ϕZe\phi_Z^e will decrease, and therefore the right-hand side of (14) will increase with energy; see Figure 5, Figure 6, Figure 7 and Figure 8. Consequently, we infer that Nex/NiN_{\rm ex}/N_i has to be an increasing function of energy, with minimum value at the limit ER→0E_R\to0 where N→ZN\to Z. Nex/NiN_{\rm ex}/N_i is expected to also be sensitive to the scale parameter in the allowed interval of values 1≤ξe≤2.151\le\xi_e\le2.15. For values near ξe=2.15\xi_e=2.15 the electrons below the Fermi energy cannot be ionized and only excited by the exchange mechanism, hence it is expected that Nex/NiN_{\rm ex}/N_i be greater than for the opposite case. For electron recoils in LAr and LXe, (Nex/Ni)min⁡=0.23(N_{\rm ex}/N_i)_{\min}=0.23 and (Nex/Ni)min⁡=0.06(N_{\rm ex}/N_i)_{\min}=0.06 [58, 59] may be considered the lowest limit value for the respective nuclear recoil ratios.

Figure 5. Exciton to ion ratio for LNe computed with Eq. (15) for several scaling lengths.

Figure 7. Exciton to ion ratio for LKr computed with Eq. (15) for several scaling lengths.

Figure 6. Exciton to ion ratio for LAr computed with Eq. (15) for several scaling lengths. We also show SCENE [60] data, which agree with ξe=1.34\xi_e = 1.34 with χ2/ndf=1.6/4\chi^2/\mathrm{ndf} = 1.6/4.

Figure 8. Exciton to ion ratio for LXe computed with Eq. (15) for several scaling lengths.

Spin effects

Because of permutation symmetry between the electrons, for a multi-electronic wave function with spin there is an extra interaction energy contribution to the total Hamiltonian of nonclassical origin (exchange interaction) [61]. Consequently, a more precise description of the BG process can be given by considering the spin wave function in the binary process.

For two approaching atoms, at separation distance x≫1x\gg1, the total potential energy of an electron in each atom is given by the sum of the two individual potentials: V1(x1′)+V2(x2′)V_1(x'_1)+V_2(x'_2), where x1′x'_1 and x2′x'_2 are the corresponding electron coordinates. Taking into account the spin, the orbital wave function of the electrons becomes ψ(x1′,x2′)=(ψ1(x1′)ψ2(x2′)±ψ1(x2′)ψ2(x1′))/2\psi(x'_1,x'_2)=(\psi_1(x'_1)\psi_2(x'_2)\pm\psi_1(x'_2)\psi_2(x'_1))/\sqrt{2}, where we can define the average Coulomb potential ⟨ψ∣VC∣ψ⟩\langle\psi| V_C | \psi\rangle for x≫xix \gg x_i (i=1,2i = 1, 2). At closer distance we have to include the perturbation potential Vnn+V′+Vee′V_{nn} + V' + V'_{ee}, where VnnV_{nn} is the nuclei-nuclei potential, the electron potential in atom 1 with the nuclei in atom 2, V′V', and the electron-electron interaction between both atoms, Vee′V'_{ee}. Since ∣V′+Vee′∣/Vnn≅xi′/Zx≪1|V' + V'_{ee}|/V_{nn} \cong x'_i/Zx \ll1, the potential VnnV_{nn} makes the dominant contribution.

Consequently, the perturbation potential is positive, and the orbital energy level shifts to higher values. To gain more stability, electron orbitals can lower their energies through exchange interaction, which, according to the generalized Hund rule [62], flip the spins to point in the same direction. For noble element quasi-molecules,

we can have three electron spins down for the p1/2p_{1/2} (shifted) orbitals and three spins up for p3/2p_{3/2}. In this way, the total spin is conserved (S=0S = 0) and the multiplicity is maximized.

For the singlet, the spatial wave function has to be symmetric and the Coulomb potential energy will have two terms, the direct term e2/(bx)e^2/(bx), considered previously, and the exchange term VeeexV^{ex}_{ee}; VC=e2/(bx′)+VeeexV_C = e^2/(bx') + V^{ex}_{ee}. In this situation, since the overlap of the wave function is not too strong, for distances (x≅2x0′x \cong2x'_0) the active BG process is favored, where Eq. (15) is satisfied (x≅2x0′x \cong2x'_0). Thus, e2/(b2x0′)≫Veeexe^2/(b2x'_0) \gg V^{ex}_{ee} and Eq. (13) remains valid as a good (classical) approximation.

For the triplet case, the spatial wave function is antisymmetric, leading to a potential energy reduction VC=e2/(bx′)−VeeexV_C=e^2/(bx')-V_{ee}^{\mathrm{ex}}. For distances x<2x0′x<2x'_0 the overlap of the wave function becomes significant and disfavors the active BG process. Therefore, this case may lead to a passive BG process. In principle, the active channel can be computed from the interaction between two atoms and Eq. (4). This calculation requires the emission cross section, which depends on the atomic orbitals of both atoms, as well as on the energy and spin degrees of freedom. A rigorous treatment of this process would require a spinor wave function obtained from the Dirac equation [52]. Such a relativistic analysis lies beyond the scope of the present work; therefore, we adopt a semiclassical approach.

To examine the probability of electron spin exchange, we account for the Coulomb energy of the quasi-molecule and the exchange energy. We assume that the Coulomb interaction is dominant. We define the average electron exchange interaction distance xλ=(aZσtNe)−1x_{\lambda}=(a_Z\sigma_tN_e)^{-1} and, assuming a Poisson process, determine the probability of an odd number of flip-flops during the collision, Nff=x/xλ≥1N_{ff}=x/x_{\lambda}\geq1:

p(x)≅Ps2(1−e−2Nff)Θ(E−Wi),(16)p(x)\cong\frac{P_s}{2}\left(1-e^{-2N_{ff}}\right)\Theta(E-W_i), \tag*{(16)}

where PsP_s is the singlet probability (≅1/4\cong1/4), σt\sigma_t is the total cross section, ∑σi+σel\sum\sigma_i+\sigma_{el}, σi\sigma_i is the ionization cross section for each sub-level ii and σel\sigma_{el} is the elastic cross section, NeN_e the electron density of the quasi-molecule that contributes to the dielectronic process (by exchange interaction) and xx the minimum separation distance of the atoms; for details, see Appendix G.

From Eq. (16) it can be argued that for low ZZ elements NeN_e is expected to be low, then x≪xλx\ll x_{\lambda}, so the emission probability is suppressed p∝x/xλ≪1p\propto x/x_{\lambda}\ll1. For Ne and Ar, the BG effect is negligible compared with that observed for heavier elements such as Kr and Xe.

Recombination process: Thomas-Imel box model

The recombination process is relevant only for liquid-phase detectors because the probability of its occurrence in solids is negligible. The partition between ionization and scintillation produced in a noble liquid by the initial recoil of an atom is governed by the recombination probability prp_r between the ions and excitons that were generated [15, 63]. The Thomas-Imel box model [63] assumes that the recombination mechanism is described by a classical process of ions and electrons recombining in a box of size aBa_B in the presence of a uniform electric field F0F_0, given in units of V/cm.

It is generally assumed that each ionization produces a single electron and that each excited atom and each recombination emit a scintillation photon [23]. Then, for NiN_i ion-electron pairs generated by the cascade process in the box, the number NeN_e of electrons escaping recombination predicted by Thomas-Imel is

NeNi=1−pr=1ξln⁡(1+ξ),(17)\frac{N_e}{N_i}=1-p_r=\frac{1}{\xi}\ln(1+\xi), \tag*{(17)}

where

ξ=Niα4aB2ve,(18)\xi=\frac{N_i\alpha}{4a_B^2v_e}, \tag*{(18)}

where μe\mu_e is the electron mobility, ve=μeF0v_e=\mu_eF_0 is the electron drift velocity and α\alpha is a constant recombination parameter with dimensions of m3 s−1\mathrm{m^3\,s^{-1}}. Scintillation is equal to exciton quanta plus the fraction of recombined ions, that is, Nγ=Nex+prNiN_{\gamma}=N_{ex}+p_rN_i. The remaining (1−pr)Ni(1-p_r)N_i electrons escape recombination. Therefore, Nex+Ni=Ne+NγN_{ex}+N_i=N_e+N_{\gamma}.

Biexcitonic process

Excitons can self-trap at a frequency similar to that of the electron-hole can recombination process. Before trapping, free excitons can diffuse and undergo biexcitonic quenching, i.e.i.e., Ar∗+Ar∗→Ar+Ar+e\mathrm{Ar}^{*}+\mathrm{Ar}^{*}\rightarrow\mathrm{Ar}+\mathrm{Ar}+e. This mechanism is proportional to the energy deposited and produces light quenching in noble liquids [64]. Consequently, the total quanta is also quenched [65]:

Nex+Ni=Nγfl(ER)+Ne=Nq,(19)N_{ex}+N_i=\frac{N_{\gamma}}{f_l(E_R)}+N_e=N_q, \tag*{(19)}

where fl(ER)f_l(E_R) is the biexcitonic quenching factor, which is related to the Penning effect and can only be present in nuclear recoil ionization. Some authors [15, 66] have parameterized this process in terms of Birks’ saturation law,

fl(ER)=11+kBSe(ER),(20)f_l(E_R)=\frac{1}{1+k_BS_e(E_R)}, \tag*{(20)}

where kBk_B is called Birks’ constant. For this model to work, the timescale of exciton self-trapping must be shorter than the recombination time at this recoil energy [67].

Let us consider the total quanta efficiency measured in a dual phase detector fn∗(ER)=(Nγ+Ne)W/ERf_n^*(E_R)=(N_{\gamma}+N_e)W/E_R; from Eqs. (2) and (19), it can be expressed as:

fn∗(ER)=fn(ER)fl(ER)+(1−fl(ER))NeWER.(21)f_n^*(E_R)=f_n(E_R)f_l(E_R)+(1-f_l(E_R))\frac{N_eW}{E_R}. \tag*{(21)}

Some observations are in order. First, fn(ER)f_n(E_R) is an upper limit for the measured efficiency, and second, fn∗(ER)f_n^*(E_R) depends slightly on the electric field through NeN_e. Because Ne/ERN_e/E_R is much smaller than the light yield for ERE_R greater than 50 keV and fl(ER)≅1f_l(E_R)\cong1 for recoil energies lower than this value, we can make fn∗(ER)≅fn(ER)fl(ER)f_n^*(E_R)\cong f_n(E_R)f_l(E_R).

Using Ni=(ER/W)fn(ER)/(1+β)N_i=(E_R/W)f_n(E_R)/(1+\beta), and taking into account Eqs. (19), (17), and (2), we obtain the following expressions for the charge and light yields:

NeER=fn(ER)ln⁡(1+ξ)W(1+β)ξ,(22)\frac{N_e}{E_R}=\frac{f_n(E_R)\ln(1+\xi)}{W(1+\beta)\xi}, \tag*{(22)}
NγER=fn(ER)fl(ER)W(1−ln⁡(1+ξ)(1+β)ξ).(23)\frac{N_\gamma}{E_R}=\frac{f_n(E_R)f_l(E_R)}{W}\left(1-\frac{\ln(1+\xi)}{(1+\beta)\xi}\right). \tag*{(23)}

In recent works [49, 58, 60], the recombination parameters β\beta, ξ\xi, and α\alpha are determined from direct measurements. In some studies, the model depends on up to five parameters for each noble liquid [68] and, particularly for LAr, the consistency with charge and light yields is not entirely satisfactory. Next, we present a comprehensive model that explains the recombination parameters and the total quanta of all noble elements as functions of a single experimental parameter. In a subsequent publication, we will provide the explicit formulas and software to implement the model.

For recoil energies below ≃1\simeq1 MeV (v≪Z2/3v0v \ll Z^{2/3}v_0 and Z≥10Z \ge10) the recombination is not expected to drastically alter electronic orbitals, so that when the cascade process ends and exciton-ion recombination begins, Δk\Delta k should not change significantly. It is important to note that the previous equations strongly depend on fn(ER)f_n(E_R), the exciton-ion ratio β\beta and implicitly on the length of the electronic scaling ξe\xi_e. Considering the interpretation of Dahl [24], we will assume that the box size is determined by the electrostatic length scale, which implies a non-hyperbolic dependence of ξ\xi on F0F_0.

Box size description in terms of the electrostatic electron-ion interaction

In this part of the study we present a model for the box size parameter aBa_B, valid for any noble liquid detector, which explains the electric field behavior of the parameter ξ\xi in Eq. (18). The model depends on the microscopic properties of the noble liquid, the scale length ξe\xi_e, and the electrostatic potential.

During recombination, electrons and ions coexist until thermalization begins to contribute significantly. In the Thomas-Imel model this is characterized by the box size parameter aBa_B, see Eq. (18), with the box assumed to be isolated and the ions and electrons uniformly distributed. Typical values of aBa_B are of the order of micrometers [24, 69].

In many studies [70, 71], for the fit function of ξ\xi, aBa_B is taken as an average quantity and the dependence on the electric field is a power law: ξ∝1/F0γ\xi\propto1/F_0^\gamma, where γ≠1\gamma\ne1 is a nonuniversal parameter that depends on the medium. Instead, we will follow Dahl’s ideas [24] and consider that aBa_B is determined by the electrostatic equilibrium between electron-ion pairs and the applied electric field, namely, ϕext(z,ξe)=−bzF0\phi_{\mathrm{ext}}(z,\xi_e)=-bzF_0, where zz is the average electron-ion separation. To estimate the lowest electric field for which this criterion can be applied, we use the Coulomb potential for the electron-ion interaction and assume that

the electron’s time inside the box t=2aB/vt=2a_B/v is less than the thermalization time (≃1\simeq1 ns), which gives us F0>10F_0>10 V/cm. These assumptions are supported by several observations [24, 49, 58, 65, 68].

Because the box size is expected to be much larger than the atomic scale, screening effects due to the induced charge and atom polarization have to be included. Since we are not in a relativistic regime, we can use the linear Thomas-Fermi screening theory [72], where a semi-classical approximation for a slowly varying potential is assumed. Additionally, for low energy ion tracks (<1<1 MeV), only the valence electrons need to be considered inside the box, thus the electron-ion potential becomes

(ϕZe(z,ξe,N))sc≃ϕZe(z,ξe,N)e−kz,(24)\left(\phi_Z^e(z,\xi_e,N)\right)_{\mathrm{sc}}\simeq\phi_Z^e(z,\xi_e,N)e^{-kz}, \tag*{(24)}

where k2=6πe2ne/ΔEFk^2=6\pi e^2n_e/\Delta E_F is the Thomas-Fermi wave vector, with nen_e denoting the electron density in the box and, according to Eq. (6), ΔEF\Delta E_F is determined by the value of the scaling length ξe\xi_e. In this model, the number NN of effective electrons for each atom inside the box is given by the average ion energy, Ei=2Z(ΔEF/2)E_i=2Z(\Delta E_F/2).

We define the electron density ne0n_e^0 in thermal equilibrium by NvnN_v n, where nn is the number density of atoms in the medium at a certain equilibrium temperature and NvN_v is the number of valence electrons. The electron density is expected to vary from nen_e to ne0n_e^0. To establish an approximate relation between nen_e and ne0n_e^0, we make the following specific assumptions:

The electron density is proportional to the mean free path λe\lambda_e of electron-ion interactions, ne∝1/λe3n_e\propto1/\lambda_e^3. Here, λe=1/niσ\lambda_e=1/n_i\sigma, where nin_i is the density of ions within the box and σ\sigma is the elastic cross section for the electron-ion dispersion, which, for ΔEF≳10\Delta E_F\gtrsim10 eV, is proportional to Z/ΔEFZ/\Delta E_F [28].

The density of ions is proportional to the mean separation xix_i of the ions inside the box, determined by the ion-ion potential ϕZ(xi,ξe)\phi_Z(x_i,\xi_e) in the weakly coupled dense plasma approximation [73]. This, for the interval from xmin⁡=2x0x_{\min}=2x_0 to the thermal equilibrium distance xth=2rW/ax_{\mathrm{th}}=2r_W/a, where rWr_W is the Van der Waals radius.

For simplicity, we approximate the ion-ion potential by a power law, ϕZ(r,ξe)∝Z2/rΩ\phi_Z(r,\xi_e)\propto Z^2/r^\Omega, where Ω\Omega is a noble liquid dependent parameter, with Ω>1\Omega>1 [74], see Figure 9. Then, we can establish an explicit proportionality relationship for the average ion energy for the entire range of xix_i: ΔEF≃ϕZ(xi,ξe)/Z∝Z/xiΩ\Delta E_F\simeq\phi_Z(x_i,\xi_e)/Z\propto Z/x_i^\Omega. This relation is valid only if q≪1q\ll1, with q=(xth−xmin⁡)/(xth+xmin⁡)q=(x_{\mathrm{th}}-x_{\min})/(x_{\mathrm{th}}+x_{\min}). Then ni∝(1/xi)3∝(ΔEF)3/ΩZ−3/Ωn_i\propto(1/x_i)^3\propto(\Delta E_F)^{3/\Omega}Z^{-3/\Omega}.

Figure 9. Power-law approximations to Ziegler atom-atom potentials for several noble liquids in the range between xthx_{th} and xminx_{min} discussed in the text.

From the previous results, for the mean electron-ion scattering length, we get

λe=λ0(ΔEF/10 eV)−3/ΩZ3/Ω−1,(25)\lambda_e=\lambda_0(\Delta E_F/10\,\mathrm{eV})^{-3/\Omega}Z^{3/\Omega-1}, \tag*{(25)}

where λ0\lambda_0 is a proportionality constant with units of length. Then, the electron density becomes

ne=ne0(ΔEF(ΔEF)0)(9/Ω−3)(NZ)(3−9/Ω),(26)n_e=n_e^0\left(\frac{\Delta E_F}{(\Delta E_F)_0}\right)^{(9/\Omega-3)} \left(\frac{N}{Z}\right)^{(3-9/\Omega)}, \tag*{(26)}

with (ΔEF)0(\Delta E_F)_0 being the average electron energy for thermal electrons, which can be estimated from the gap energy, EgE_g. Thermal equilibrium is reached when ΔEF→(ΔEF)0\Delta E_F \to(\Delta E_F)_0 for Ω>3\Omega> 3 [75]. On the other hand, condition q2≪1q^2 \ll1 limits the applicability of Eq. (26) for high energies (Ω<3\Omega< 3), in which the electron density, nen_e, increases with energy.

To determine the size of the box, aBa_B, we equal the screened electron-ion potential to the external field potential

−bzF0=(ϕZe(z,ξe,N))sc,(27)-bzF_0 = \left(\phi_Z^e(z,\xi_e,N)\right)_{\mathrm{sc}}, \tag*{(27)}

and solve for zz as a function of the electric field F0F_0. Then, the size of the box is determined by doing aB=z(F0)a_B = z(F_0). For an electric field of about 10 V/cm we obtain a≃10a \simeq10 nm for LAr and a≃80a \simeq80 nm for LXe. As expected, in both cases, the box size is smaller than the Onsager radius, which is about 100 nm. From Eq. (18) we see that now ξ∝1/(aB2F0)\xi\propto1/(a_B^2F_0) and its dependence becomes more complicated than the hyperbolic one. In general, aB(F0)a_B(F_0) is expected to be a monotonic decreasing function of the electric field, and its derivative with respect to F0F_0 is sensitive to ξe\xi_e. The minimal value of F0F_0 for Eq. (27) to be valid can be estimated by equating the box size to the Onsager radius, with is related to the average thermal energy ETE_T, with the formula F3=(ET/Eg)(Wi/Eg−1)F_3 = (E_T/E_g)(W_i/E_g - 1), where F3F_3 is the excitation Fano factor [48]. For LAr, F3=0.004F_3 = 0.004 and then ET=9E_T = 9 meV, which corresponds to an Onsager radius of 10 nm, and a minimal electric field of 10 V/cm. In the case of LXe, F3=0.0006F_3 = 0.0006, ET=1E_T = 1 meV, and the Onsager radius is 67 nm, which gives a minimal electric field 20 V/cm.

For simplicity, to have some insight on the solution of Eq. (27), we can perform a power-law fit to the box size, aB=a0′(F0′/F0)δa_B = a'_0(F'_0/F_0)^\delta around a specific electric field value, where a0′a'_0 and F0′F'_0 are fit constants. Typical electric fields in liquid TPCs are approximately 100–1000 V/cm. As discussed above, the slope of the box size depends on the scale parameter ξe\xi_e. For noble liquids considered here we obtain different values for the slope δ\delta at different electric fields, see Table IV. The slope δ\delta depends on ξe\xi_e, the atomic number (for noble elements), and the electric field. From Eq. (27), we find δmax⁡=1/2\delta_{\max} = 1/2, reached only for a purely Coulomb interaction potential. For elements with large atomic numbers, the valence electrons are located relatively far from the nucleus, and the effective nuclear charge estimated using Slater’s rules is approximately equal to the net charge experienced by the valence shell after shielding by the other valence electrons. Consequently, the screening parameter δ\delta is expected to increase and approach its maximal value as the atomic number increases.

For δ\delta values corresponding to ξe\xi_e in Table II we get the fit function,

aB≃13Z1.94(F0 V−1cm)−δ pm.(28)a_B \simeq13Z^{1.94}(F_0\ \mathrm{V}^{-1}\mathrm{cm})^{-\delta}\ \mathrm{pm}. \tag*{(28)}

This result demonstrates that, to a very good approximation, the recombination parameter exhibits an inverse proportionality to the electric field and obeys a power law dependence, ξ/Ni∝1/F0(1−2δ)\xi/N_i \propto1/F_0^{(1-2\delta)}.

Elementδ\delta (10210^2 V/cm)δ\delta (10310^3 V/cm)
Neon0.1610.211
Argon0.2030.270
Krypton0.2880.371
Xenon0.3850.449

Table 4. Slope value obtained from a fit to the solution of Eq. (27) for LNe, LAr, LKr and LXe. We compare how the slope varies with the electric field.

Polarizability model for Nex/NiN_{ex}/N_i

When an electric field F0F_0 is applied to a noble liquid, the ions and atoms that recombine are expected to interact with the field. This interaction produces a small displacement dd of the outer electron orbitals. For an electric field applied along the zz direction, assuming a spherical shape of the atom in the absence of the field, to first order, the deformation due to the displacement is x′=x0′+xd′cos⁡θx' = x'_0 + x'_d \cos\theta, where xd′=d/bx'_d = d/b and θ\theta is the angle with respect to the field direction.

The potential of the atom-atom system, V(re,x,ξe)V(r_e,x,\xi_e), is given by the sum of the following contributions: nuclei-nuclei VNN(x)V_{NN}(x), electron-electron Vee(re)V_{ee}(r_e), and electron-nuclei VeN(re,x,ξe)V_{eN}(r_e,x,\xi_e). We consider this interaction in the context of a semiclassical theory, where the quantum interference effects for distances lower than xx are ignored.

The average potential is given by

Vˉ(x,ξe)≅∫re∞∫x∞d3x′′d3re∣ψe(re)∣2∣ψN(x′′)∣2V(re,x′′,ξe).(29)\bar{V}(x,\xi_e) \cong\int_{r_e}^{\infty}\int_{x}^{\infty} d^3x^{\prime\prime}d^3r_e \left|\psi_e(r_e)\right|^2\left|\psi_N(x^{\prime\prime})\right|^2 V(r_e,x^{\prime\prime},\xi_e). \tag*{(29)}

For an atom with ZZ electrons, the electron-atom potential can be defined in a similar manner as in Eq. (29). For a test charge at a distance x′x^{\prime} from the nuclei,

VˉNe(x′,ξe)+Vˉee(x′,ξe)=\bar{V}_{Ne}(x^{\prime},\xi_e)+\bar{V}_{ee}(x^{\prime},\xi_e)=
ϕZe(x′,ξe,Z)≅4πb3eZˉ(x′)∫x′∞ρ(x′′)x′′2VZ(x′′)dx′′,(30)\phi_Z^e(x^{\prime},\xi_e,Z)\cong\frac{4\pi b^3}{e\bar{Z}(x^{\prime})}\int_{x^{\prime}}^{\infty}\rho(x^{\prime\prime})x^{\prime\prime2}V_Z(x^{\prime\prime})dx^{\prime\prime}, \tag*{(30)}

where eZˉ(x′)=4πb3∫x′∞ρ(x′′)x′′2dx′′e\bar{Z}(x^{\prime})=4\pi b^3\int_{x^{\prime}}^{\infty}\rho(x^{\prime\prime})x^{\prime\prime2}dx^{\prime\prime} is the effective charge and ρ(x′)=e∣ψZ(x′)∣2\rho(x^{\prime})=e\left|\psi_Z(x^{\prime})\right|^2. Here, ψZ(x′)\psi_Z(x^{\prime}) and VZ(x′)V_Z(x^{\prime}) are the wave function and the effective potential, respectively, resulting after the integration of the electronic coordinates.

The correction δϕZe(x′,F0)\delta\phi_Z^e(x^{\prime},F_0), due to the external field potential ϕext(x′,ξe)\phi_{\mathrm{ext}}(x^{\prime},\xi_e), modifies the total potential for electron-atom and atom-atom systems,

(ϕZe(x′,ξe,Z,F0))S=ϕZe(x′,ξe,Z)+δϕZe(x′,F0),(31)\left(\phi_Z^e(x^{\prime},\xi_e,Z,F_0)\right)_S=\phi_Z^e(x^{\prime},\xi_e,Z)+\delta\phi_Z^e(x^{\prime},F_0), \tag*{(31)}
(ϕZ(x,ξe,Z,F0))S=ϕZ(x,ξe,Z)+2δϕZ(x,F0).(32)\left(\phi_Z(x,\xi_e,Z,F_0)\right)_S=\phi_Z(x,\xi_e,Z)+2\delta\phi_Z(x,F_0). \tag*{(32)}

We determine both shifts in terms of the Stark effect [76] for a deformed charge distribution using nondegenerate first-order perturbation theory [77],

δϕZe(x′,F0)=2πb4F0eZˉ(x′)∫0π∫x′∞x′′3ρ(x′′+xd′cos⁡θ)cos⁡θsin⁡θdθdx′′.(33)\delta\phi_Z^e(x^{\prime},F_0)=\frac{2\pi b^4F_0}{e\bar{Z}(x^{\prime})}\int_0^\pi\int_{x^{\prime}}^\infty x^{\prime\prime3}\rho(x^{\prime\prime}+x_d^{\prime}\cos\theta)\cos\theta\sin\theta d\theta dx^{\prime\prime}. \tag*{(33)}

To evaluate the double integral on the right-hand side of this equation, we make the following approximations: (i) Since xd′≪x′x_d^{\prime}\ll x^{\prime}, ρ(x′+xd′cos⁡θ)≅ρ(x′)+xd′cos⁡θ dρ′/dx′\rho(x^{\prime}+x_d^{\prime}\cos\theta)\cong\rho(x^{\prime})+x_d^{\prime}\cos\theta\,d\rho^{\prime}/dx^{\prime}, the radial integration is separated and, only the term dependent on cos⁡2θ\cos^2\theta gives a nonzero result to the integration over θ\theta. (ii) Only interaction with valence electrons is considered and consequently x′′≫1x^{\prime\prime}\gg1; therefore, we can use the Kohn-Sham asymptotic electron density, ρ(x′)≅ρ0e−γx′\rho(x^{\prime})\cong\rho_0e^{-\gamma x^{\prime}}, with γ=2(2Ue1/Eh)1/2q ξe2/30.885Z−1/3\gamma=2(2U_{e1}/E_h)^{1/2}q\,\xi_e^{2/3}0.885Z^{-1/3} [78], where EhE_h is the hydrogen binding energy (≅13.6\cong13.6 eV), Ue1U_{e1} is the second ionization energy of the atom, and ρ0\rho_0 is a constant associated with the electron density in the region close to the valence electrons. (iii) We assume that xd′=αpF0/ebx_d^{\prime}=\alpha_pF_0/eb and αp\alpha_p is the polarizability constant. Using these approximations we get,

δϕZe(x′,F0)≅−(4πε0γαp(100F0)23e)(x′+γ).(34)\delta\phi_Z^e(x^{\prime},F_0)\cong-\left(\frac{4\pi\varepsilon_0\gamma\alpha_p(100F_0)^2}{3e}\right)(x^{\prime}+\gamma). \tag*{(34)}

Since we use first order perturbation theory and assume x′≫xd′x^{\prime}\gg x_d^{\prime}, the validity of Eq. (34) is limited to electric

fields not very intense. Since the shift is negative, the exciton to ion ratio Nex/NiN_{\mathrm{ex}}/N_i is expected to be a decreasing function of F0F_0.

Using the same procedure as in § 3 A, we compute the ratio Nex/NiN_{\mathrm{ex}}/N_i by means of Eqs. (13) and (15) but with the shifted potentials defined in Eq. (31). The results of this computation for LXe and LAr are shown in Figure 10 and Figure 11. From these figures, we see that the upper value for the electric field is of the order ∼104\sim10^4 V/cm, which is sufficiently large for the current noble liquid experiments [69].

Figure 10. Exciton-to-ion ratio for LAr as a function of the electric field.

Exciton-to-ion ratio for LXe as a function of the electric field

Figure 11. Exciton-to-ion ratio for LXe as a function of the electric field.

Birks constant

The coefficient kBk_B in Birks’ law (Eq. (20)) is related to the probability that two excitons form a bonded system at high energies. Assuming a simple orbital bonding, the symmetric wave function (singlet) is required and kB∝kB′/4k_B\propto k'_B/4, where kB′k'_B is another constant. From the Birks law, the constant kB′k'_B has to be proportional to Se(ϵ0,ξe)−1S_e(\epsilon_0,\xi_e)^{-1}, where ϵ0\epsilon_0 is the energy of the ions such that the effective ion charge, ZeffZ_{\mathrm{eff}}, allows the production of an exciton pair. The effective charge for an exciton must be in the range 0<Zeff<10<Z_{\mathrm{eff}}<1, thus, to estimate ϵ0\epsilon_0 we use the Ziegler effective charge formula for ions, Zeff=Z(1−e−vi/v0Z2/3)Z_{\mathrm{eff}}=Z(1-e^{-v_i/v_0Z^{2/3}}), where viv_i is ion velocity, such that, Zeff=1/2Z_{\mathrm{eff}}=1/2, see Table V. From the energies listed in Table V we can make an analytic estimate using Lindhard’s electronic stopping power, including the effect of the correction factor qq for the inter-atomic potential, with

IonZZAAε0/Q\varepsilon_0/Q (keV)
Ne1020.18027.92
Ar1839.9535.96
Kr3683.79848.1
Xe54131.29356.98

Table V. Energy required for noble gas ions to reach Zeff=0.5Z_{\mathrm{eff}} = 0.5 using a Ziegler parametrization.

Se(ε0,ξe)=q3/20.133ξe(Zε0/A)1/2S_{\mathrm{e}}(\varepsilon_0,\xi_{\mathrm{e}}) = q^{3/2}0.133\xi_{\mathrm{e}}(Z\varepsilon_0/A)^{1/2}, then

ξekB=14q3/2(7.52ε01/2)(AZ)1/2,(35)\xi_{\mathrm{e}} k_B = \frac{1}{4q^{3/2}}\left(\frac{7.52}{\varepsilon_0^{1/2}}\right)\left(\frac{A}{Z}\right)^{1/2}, \tag*{(35)}

where we can use the approximate trend ε0≃121.52/Z1.91\varepsilon_0 \simeq121.52/Z^{1.91} (ε0/Q∼Z1/3\varepsilon_0/Q \sim Z^{1/3}) to give a closed formula for ξekB\xi_{\mathrm{e}} k_B for all noble elements, see Table VI.

Elementq3/2ξekBq^{3/2}\xi_{\mathrm{e}} k_B, (35)
Ne2.18
Ar3.97
Kr7.99
Xe12.01

Table VI. Values of ξekB\xi_{\mathrm{e}} k_B for noble elements

The results obtained for LAr and LXe are in good agreement with the experimental measurements, [15, 79]. This model predicts that for higher ZZ the biexcitonic quenching is more active.

Recombination for noble liquids

We now show that the ratio ξ/Ni\xi/N_i can be determined for all noble liquids in terms of a single fit constant. It is convenient to write α=α0r02vmax⁡\alpha= \alpha_0 r_0^2 v_{\max}, where α0\alpha_0 is a dimensionless constant, vmax⁡≃v0v_{\max} \simeq v_0 is the maximum drift velocity of the electrons, and r0r_0 is the minimum box length. The electron mobility is μe∝λe/v0e\mu_{\mathrm{e}} \propto\lambda_{\mathrm{e}}/v_0^{\mathrm{e}}, where λe\lambda_{\mathrm{e}} is given in Eq. (25) and ve0v_{\mathrm{e}}^0 is the electron velocity within the box, ve0=(2ΔEF/m)1/2v_{\mathrm{e}}^0 = (2\Delta E_F/m)^{1/2}. From the empirical formula for the atomic radius r0≃0.18Z0.44A˚r_0 \simeq0.18Z^{0.44}\mathring{\mathrm{A}}, Eq. (18), and Eq. (28), we find

4ξNi=α0r02vFaβ2μeF0≃C0ΔEF−1/2+3/ΩZ2.0+3/ΩF01−2δ,(36)\frac{4\xi}{N_i} = \frac{\alpha_0 r_0^2 v_F}{a_\beta^2\mu_{\mathrm{e}}F_0} \simeq C_0 \frac{\Delta E_F^{-1/2+3/\Omega}}{Z^{2.0+3/\Omega}F_0^{1-2\delta}}, \tag*{(36)}

where C0=(α0/λ0)(271v0m1/2(10 eV)1−3/Ω/e)C_0 = (\alpha_0/\lambda_0)(271v_0m^{1/2}(10\,\mathrm{eV})^{1-3/\Omega}/e), where α0/λ0\alpha_0/\lambda_0 is an unknown constant.

To find C0C_0 we have to determine δ\delta. From the fit with the power law of Eq. (28), in the range 100 V/cm<F0<2000 V/cm100\ \mathrm{V/cm} < F_0 < 2000\ \mathrm{V/cm} for the electric field, we obtain 1−2δ=0.1061-2\delta= 0.106 for LXe and 1−2δ=0.531-2\delta= 0.53 for LAr, see Figure 12. Using the exact solution of Eq. (27) we obtain the curves in Figure 13 for 1−2δ1-2\delta as a function of the electric field. We also show the mean values, <1−2δ>=0.082<1-2\delta> = 0.082 for LXe and <1−2δ>=0.51<1-2\delta> = 0.51 for LAr, in the range 100 V/cm<F0<10000 V/cm100\ \mathrm{V/cm} < F_0 < 10000\ \mathrm{V/cm}. We observe that the exponent behavior is nearly constant with the electric field. Except for the cases where the model is not reliable for low electric fields, F0<50 V/cmF_0 < 50\ \mathrm{V/cm} or near the breakdown electric field, F0>104 V/cmF_0 > 10^4\ \mathrm{V/cm}.

Figure 12. Box size z=aB(F0)z = a_B(F_0) (black line) as a function of the electric field according to Eq. (27) for (a) LXe and (b) LAr. In both cases, a power-law approximation (red line) is performed over the specified range.

Figure 13. Predicted dependence of 1−2δ1 - 2\delta for (a) LXe and (b) LAr with the electric field according to Eq. (27).

The dimensionless parameter 4ξ/Ni4\xi/N_i as a function of the applied electric field is one of the main comparison tests to validate the physical consistency of our model. The dependence of this parameter on the electric field is not universal for the noble liquid elements. To determine the constant C0C_0 we fit the experimental data for LXe [49] using a power-law function of the form P0/(F0/(1 V/cm))1−2δP_0/(F_0/(1\ \mathrm{V/cm}))^{1-2\delta}, which yields (4ξ/Ni)LXe=(0.05961±0.034)/(F0/(1 V/cm))0.082(4\xi/N_i)_{\mathrm{LXe}} = (0.05961 \pm0.034)/(F_0/(1\ \mathrm{V/cm}))^{0.082}. This fit results in a value of C0=1.88×103 m3s−1(eV)−3/Ω+1/2(V/cm)1−2δC_0 = 1.88 \times10^3\ \mathrm{m^3s^{-1}(eV)^{-3/\Omega+1/2}(V/cm)^{1-2\delta}}. Using this value in Eq. (36) for LAr, the model predicts (4ξ/Ni)LAr=1.36/(F0/(1 V/cm))0.51(4\xi/N_i)_{\mathrm{LAr}} = 1.36/(F_0/(1\ \mathrm{V/cm}))^{0.51}, which is consistent with the direct experimental fit (4ξ/Ni)LArfit≃(1.41±0.18)/(F0/(1 V/cm))0.51(4\xi/N_i)_{\mathrm{LAr}}^{\mathrm{fit}} \simeq(1.41 \pm0.18)/(F_0/(1\ \mathrm{V/cm}))^{0.51} as illustrated in Figure 14.

Measurements for the $4\xi/N_i$ parameter in LXe

(a)

(b)

Figure 14. Measurements for 4ξ/Ni4\xi/N_i parameter from Eq. (17) as function of electric field F0F_0 for (a) LXe and (b) LAr. (blue line) Model using the power law dependence computed from Eq. (27), where we extract the one fit constant C0C_0 from LXe.

The predictions of the model for LKr and LNe are (4ξ/Ni)LKr=(0.219 m3s−1)/(F0/(1 V/cm))0.26(4\xi/N_i)_{\mathrm{LKr}} = (0.219\ \mathrm{m^3s^{-1}})/(F_0/(1\ \mathrm{V/cm}))^{0.26} and (4ξ/Ni)LNe=(12.12 m3s−1)/(F0/(1 V/cm))0.52(4\xi/N_i)_{\mathrm{LNe}} = (12.12\ \mathrm{m^3s^{-1}})/(F_0/(1\ \mathrm{V/cm}))^{0.52}. The general trend for any noble liquid with Z>10Z > 10 is predicted to be (4ξ/Ni)Z=2650[Z2.9−1.5/Z1/2]−1/(F0/(1 V/cm))1−2δ(4\xi/N_i)_Z = 2650[Z^{2.9-1.5/Z^{1/2}}]^{-1}/(F_0/(1\ \mathrm{V/cm}))^{1-2\delta}. For the sake of completeness we present the results for total quanta using Eq. (9) for LXe, LAr, GNe and LNe. The BG effect for neon is negligible and is not shown, see fig. 15.

The constant C0C_0 allows us to estimate the recombination probability constant, α0\alpha_0, providing deeper physical insight into the underlying modeling. From Eq. (36), we derive the ratio α0/τc=2.2×107 s−1\alpha_0/\tau_c = 2.2 \times10^7\ \mathrm{s}^{-1}, where τc\tau_c is the mean collision time within the recombination box. This quantity is related to electron mobility by μe=eτc/m\mu_e = e\tau_c/m and can be estimated in terms of the plasma frequency for LXe (ωe2=4πe2n/mϵ0\omega_e^2 = 4\pi e^2n/m\epsilon_0), giving us τc≃2π/ωe=3.4×10−16 s\tau_c \simeq2\pi/\omega_e = 3.4 \times10^{-16}\ \mathrm{s}, which yields α0≃7.5×10−9\alpha_0 \simeq7.5 \times10^{-9}. By applying the Jaffe equations to the stationary regime for

both ions and electrons [63], the recombination constant can be approximated as α0≃(τrN−r02vF)−1\alpha_0 \simeq(\tau_r N_- r_0^2 v_F)^{-1}, where τr\tau_r is the recombination time for nuclear recoils and N−N_- denotes the electron density, estimated as N−≃NvnN_- \simeq N v_n. Proceeding in such a way, we obtain τr≃0.033 ns\tau_r \simeq0.033\ \mathrm{ns}, which is in good agreement with the results in the literature τr≪1 ns\tau_r \ll1\ \mathrm{ns} [24, 49]. Finally, in Figure 17-Figure 21, we present the light and charge yields for LAr and LXe predicted by our model and compare them with the data and NEST predictions. We further compare our model predictions with the mean light-yield efficiency, LeffL_{\rm eff}, in liquid argon (LAr) at 36.1 keV under varying applied electric-field strengths, see Figure 16.

Figure 16. Scintillation efficiency in LAr for different electric fields, all points are at 36.1 keV energy.

Figure 17. Light yield for LAr for different electric fields, compared with data from [49] and NEST curve.

Figure 21. Charge yield for LXe for different electric fields, compared with data from [49] and NEST curve.

Total quanta prediction for LXe

(a)

Total quanta prediction for LAr

(b)

(c)

Figure 15. Total quanta prediction for (a) LXe, (b) LAr and (c) LNe-GNe compared with data.

Figure 18. Charge yield for LAr for different electric fields, compared with data from [49] and NEST curve.

Figure 19. Light yield for LXe for different electric fields, compared with data from [49] and NEST curve.

Figure 20. Charge yield for LXe for different electric fields, compared with data from [49] and NEST curve.

Conclusions

In this work, we have developed a first-principles theoretical formalism to describe total quanta production in noble liquids over an energy range spanning from the sub-keV regime to 1 MeV. The commonly used Lindhard formula is only valid for ε>1\varepsilon> 1 and assumes an electronic stopping power proportional to the velocity (only the parameter kk). In contrast, our total quanta model is elaborated from the second-order integro-differential equation, which accounts for a general electronic stopping power, electronic straggling, and nuclear stopping power. The electronic stopping is characterized using Tilinin’s non-linear analysis of the momentum transfer cross-section, incorporating recent experimental data for liquid argon and xenon, as well as low-energy Coulomb repulsion and high-energy Bohr stripping criteria.

We demonstrated that elastic momentum transfer effects alone are insufficient to characterize ionization measurements in noble elements with Z>20Z > 20. A significant contribution of this work is the inclusion of the Bates-Griffing dielectronic process to account for inelastic electron emission during the atomic cascade. The explicit mechanism is formulated in terms of the electrostatic potential, the spin configuration of the diatomic system, the exchange energy, and the kinetic energy of the projectile atom.

Furthermore, we introduced the electronic scaling length, ξe\xi_e, as a new fundamental physical parameter for nuclear recoil interactions. This parameter incorporates the Pauli exclusion principle within the Thomas-Fermi model, providing a more precise description of electronic orbitals during the nuclear cascade process. Within the recombination framework, ξe\xi_e gives a better characterization of the exciton to ion ratio, implemented as a function of the energy and the electric field, rather than as a constant value. The recombination process is described by an improved version of the Thomas-Imel box model, where the box size is derived from the electrostatic equilibrium between the external electric field and the field associated with the electrons and ions inside the box. This provides a physically grounded description of the field dependence, without the need for an empirical power-law fit.

Finally, the model shows overall consistency for the noble liquids most commonly used in experiments: neon, argon, and xenon. All of them can be described by a single fitting parameter, while other relevant parameters are derived from fundamental atomic properties. The results presented here show that our approach outperforms empirical methods, such as NEST, particularly in the low-energy regime, predicting substantially higher light and charge yields. The model can provide an even more accurate description if we add an additional fitting parameter to describe an energy dependence of ξe\xi_e. These findings highlight the qualities of the model as a robust tool for the next generation of ultra-low threshold experiments, including the search for dark matter and the detection of coherent elastic neutrino-nucleus scattering.

Acknowledgments

This research was supported in part by SECIHTI grant CF-2023-I-1169, a SECIHTI postdoctoral grant, and DGAPA-UNAM grant PAPIIT-IN104026. The authors also acknowledge SNII support.

Energy equilibrium for the cascade process

Consider the collision between two atoms, with the target and projectile having Z1Z_1 and Z2Z_2 electrons and masses M1M_1 and M2M_2, respectively. The total kinetic energy of the target atom for each atomic collision in the CM frame is, TN=ER′M2/(M1+M2)T_N = E^\prime_R M_2/(M_1+M_2), where ER′E^\prime_R is the nuclear recoil energy for each atomic collision in the lab frame. When the quasi-molecule is formed we assume that all electrons remain in a bound state, such that all the energy released to the system is absorbed by them,

TN=Te=∑i=1Z1+Z2Tei,(37)T_N = T_e = \sum_{i=1}^{Z_1+Z_2} T_{ei}, \tag*{(37)}

with TeiT_{ei} being the energy of the electron ii. We can define an average electron energy, T‾e\overline{T}_e, such that Te=(Z1+Z2)T‾eT_e = (Z_1+Z_2)\overline{T}_e,

T‾e=TNZ1+Z2.(38)\overline{T}_e = \frac{T_N}{Z_1+Z_2}. \tag*{(38)}

In the CM frame, T‾e≃T‾elab≡Ee\overline{T}_e \simeq\overline{T}^{\mathrm{lab}}_e \equiv E_e, since the electron mass is much lower than the atom mass; hence,

Ee=ERM2(Z1+Z2)(M1+M2).(39)E_e = \frac{E_R M_2}{(Z_1+Z_2)(M_1+M_2)}. \tag*{(39)}

The energy EeE_e, can be seen as the average energy of the electron-atom interaction during atomic collision. For identical atoms, Ee=ER/4Z1E_e = E_R/4Z_1, which coincides with the formula obtained using the Ziegler scale and can be compared with the Tilinin formula with the Lindhard scale, Ee=ER/22ZE_e = E_R/2\sqrt{2Z} [28].

For comparison, let us test the group IV of the periodic table. In particular the minimum energy to excite an electron from the valence band to the Fermi level is Eg/2E_g/2. For an electron energy below this value, no ionization can occur, then Ee≈Eg/2E_e \approx E_g/2. The minimal recoil energy, ERmE_{Rm}, can be calculated from, ERm=2Z1EgE_{Rm} = 2Z_1E_g. For energy gaps of 5.47, 1.17, 0.67 eV, we obtain ERm=65.7E_{Rm} = 65.7, 32.8, 42.9 eV, for C, Si, and Ge, respectively. In the case of Si, the obtained value is close to those obtained in other studies [80]. According to the solution of the integral equation for the atomic motion (Eq. (4)), the recoil threshold is approximately equal to 2UF2U_F, where UFU_F is the Frenkel pair energy. From the previous results it can be directly obtained UF=ERm/2U_F = E_{Rm}/2, which compares well with previous studies [81, 82, 83].

In noble liquids, the minimum energy to produce a metastable state is given by the spin-exchange, where the energy range to form this state is about 0.1 − 1.0 eV [84, 85]. Using eq. (A3) this gives, 4 eV<2Uc<216 eV4\ \mathrm{eV} < 2U_c < 216\ \mathrm{eV}, since the energy range under study is above 500 eV, as a first approximation we can take the average value, Uc=50 eVU_c = 50\ \mathrm{eV} for all noble liquids.

Free-electron model for the mean energy required to create an electron-hole pair

To estimate WW, we employ the free electron gas model in the limit T→0T \to0. In this framework, the change in internal energy, ΔU\Delta U, of the valence band electrons due to an energy transfer (ΔE∝kBΔT\Delta E \propto k_B\Delta T) from an ionizing particle is given by the following relation:

∂U∂E=π2E2EF(40)\frac{\partial U}{\partial E} = \frac{\pi^2 E}{2E_F} \tag*{(40)}

where E≪EFE \ll E_F is the energy transferred to the Fermi gas and EF=EV+Eg/2E_F = E_V + E_g/2, with EVE_V denoting the valence-band energy. The energy ΔU\Delta U corresponds to the average energy required to excite a valence electron, WVW_V, multiplied by the total number of excitations. Thus, assuming that the derivative ∂U/∂E\partial U/\partial E remains constant, we obtain E/WV=π2E/2EFE/W_V = \pi^2E/2E_F, where it follows that WV=2EF/π2W_V = 2E_F/\pi^2. To account for the additional energy EgE_g required to promote an electron from the valence band to the conduction band, the total average energy WW is given by:

W=2EFπ2+Eg(41)W = \frac{2E_F}{\pi^2} + E_g \tag*{(41)}

The width of the valence band can be estimated from the free-electron model as EV≃ℏ2/2m(3π2ne)2/3E_V \simeq\hbar^2/2m(3\pi^2n_e)^{2/3}, where nen_e is the number density of electrons (NvnN_v n), see Table VII and Table VIII.

Materialρ\rho (g/cm3^3)nen_e (m−3^{-3})EVE_V (eV)EgE_g (eV)
LNe1.2072.88×10292.88 \times10^{29}15.9121.50
LAr1.3951.68×10291.68 \times10^{29}11.1114.30
LKr2.4131.38×10291.38 \times10^{29}9.7711.55
LXe2.9401.08×10291.08 \times10^{29}8.269.30
Si2.3301.99×10291.99 \times10^{29}12.471.17
Ge5.3231.76×10291.76 \times10^{29}11.480.66
Diamond3.5107.04×10297.04 \times10^{29}28.865.48

Table VII. TABLE VII. Physical properties of noble liquids and semiconductors used to calculate the Fermi energy in the free-electron-gas model. The last column lists the band gap at T≃100 KT \simeq100\ \mathrm{K}.

MaterialWexpW_{\mathrm{exp}} eVWW eVEq. (B2)
CDiamondCDiamond13.0-13.311.88
Si3.66-3.753.70
Ge2.8-3.02.99
LNe25-2726.9
LAr19.518.0
LKr14.2-15.914.7
LXe11.5-13.711.92

Table VIII. Estimated mean energies WW for different materials, compared with measured values or reported ranges.

Free electron plasma dispersion

Consider the average Fermi energy for a free electron gas, EˉF=35(ℏ2kF2/2m)\bar{E}_{F} = \frac{3}{5}(\hbar^{2}k_{F}^{2}/2m), where kFk_{F} is the maximum wave vector that an electron can have. The variation of this energy,

ΔEF=3ℏ2kF⋅ΔkF5m,(42)\Delta E_{F} = \frac{3\hbar^{2}\mathbf{k}_{F}\cdot\Delta\mathbf{k}_{F}}{5m}, \tag*{(42)}

where kF⋅ΔkF=kFΔkcos⁡ψ\mathbf{k}_{F}\cdot\Delta\mathbf{k}_{F}=k_{F}\Delta k\cos\psi, with ψ\psi the collision angle between the electrons in the laboratory frame. On the other hand, to estimate the maximum value of ΔEFM\Delta E_{F}^{M}, we can use Lindhard dielectric function [38], to compare with (C1),

ΔEFM≃3ℏvF2ΔkF210ωF=3ℏ2ΔkF25m,(43)\Delta E_{F}^{M}\simeq\frac{3\hbar v_{F}^{2}\Delta k_{F}^{2}}{10\omega_{F}}=\frac{3\hbar^{2}\Delta k_{F}^{2}}{5m}, \tag*{(43)}

where ℏωF=mvF2/2\hbar\omega_{F}=mv_{F}^{2}/2. By equating (C1) and (C2) [86], we obtain the critical collision angle ψc\psi_{c},

cos⁡ψc=ΔkF/kF=sin⁡(θc/2),(44)\cos\psi_{c}=\Delta k_{F}/k_{F}=\sin(\theta_{c}/2), \tag*{(44)}

where θc\theta_{c} is the critical angle in the CM frame.

For angles θ<θc\theta<\theta_{c}, then ΔEF<ΔEFM\Delta E_{F}<\Delta E_{F}^{M} and there is no significant energy transfer from free electrons to bonding electrons. In the opposite case, the free-electron gas must be damped, due to direct transfer of all its energy to a single inner orbital electron. This can be interpreted as meaning that for electron energies lower than ΔEF\Delta E_{F} we can approximate the electrons as free. In the context of TF theory, inner electrons with energies larger than ΔEF\Delta E_{F} do not contribute significantly to momentum transfer in atomic collisions.

Effective number of electrons in atomic binary collisions

From appendix A we see that the total electron energy given to the system of identical ions during a collision is Ee=ER/4ZE_{e}=E_{R}/4Z. Using the adiabatic criteria [55], v≤3vFv\leq\sqrt{3}v_{F}, we have EF≈Ee/3E_{F}\approx E_{e}/3. Then calculate the effective electron distance for the electron to be stripped, EF=ℏ2(3π3nFe)2/3/2mE_{F}=\hbar^{2}(3\pi^{3}n_{F}^{e})^{2/3}/2m, where nFe(x′)=n_{F}^{e}(x')=

Amaldi model for ionized atoms

According to the Thomas-Fermi model for the atom, the screen function χZ(x′)\chi_{Z}(x'), x′=r/ax'=r/a with a=a00.885/Z1/3a=a_{0}0.885/Z^{1/3}, obeys the equation

χZ′′=χZ3/2x′1/2,(45)\chi_{Z}''=\frac{\chi_{Z}^{3/2}}{x'^{1/2}}, \tag*{(45)}

with the boundary conditions χZ(0)=1\chi_{Z}(0)=1 and χZ(x′)=0\chi_{Z}(x')=0. For an ionized atom with NN electrons, the boundary condition at x0′x'_{0} becomes χZ(x0′)=(Z−N)/Z\chi_{Z}(x'_{0})=(Z-N)/Z. Amaldi’s approach [87] approximates the ionized boundary condition, imposing the ansatz,

χZA(κx′)=χZ(κx′)+Z−NZ(1−χZ(κx′)),(46)\chi_{Z}^{A}(\kappa x')=\chi_{Z}(\kappa x')+\frac{Z-N}{Z}(1-\chi_{Z}(\kappa x')), \tag*{(46)}

with (Z−N)/Z≪1(Z-N)/Z\ll1 and κ\kappa a correction factor for screening length to be determined. Let us notice that this ansatz satisfies the boundary conditions for an ionized atom mentioned above.

Requiring that the expression Eq. (E2) satisfy (E1), we find

χZ′′≃κ−3/2(NZ)1/2χZ3/2x′1/2,(47)\chi_{Z}''\simeq\kappa^{-3/2}\left(\frac{N}{Z}\right)^{1/2}\frac{\chi_{Z}^{3/2}}{x'^{1/2}}, \tag*{(47)}

if we set κ−3/2(N/Z)1/2=1\kappa^{-3/2}(N/Z)^{1/2}=1, we deduce Amaldi’s screening length, aA=a00.885/N1/3a_{A}=a_{0}0.885/N^{1/3} screening length.

Polarizability for free electron gas during recombination

Here, we apply the Lindhard dielectric function theory [38] for a gas of free electrons in the presence of a static electromagnetic field. In his semiclassical model the dielectric function is,

ε(kF,0)=1+3ωe2(kFvF)2,(48)\varepsilon(k_{F},0)=1+\frac{3\omega_{e}^{2}}{(k_{F}v_{F})^{2}}, \tag*{(48)}

where ωe2=Ze2nˉe/mε0\omega_{e}^{2}=Ze^{2}\bar{n}_{e}/m\varepsilon_{0} is the electron plasma frequency (in standard units), with nˉe\bar{n}_{e} given by the Thomas-Fermi model:

nˉe=(2mUTF)3/23π2ℏ3,\bar{n}_{e}=\frac{(2mU_{\mathrm{TF}})^{3/2}}{3\pi^{2}\hbar^{3}},
13π2(2m∣ϕZe(x′,ξe,Z)∣/ℏ2)3/2\frac{1}{3\pi^{2}}(2m\left|\phi_{Z}^{e}(x',\xi_{e},Z)\right|/\hbar^{2})^{3/2}

is the TF electron density. Having the distance x′x' we can compute the effective number of electrons in the binary collision by

Z−N=Z(χZ−x′dχZdx′),Z-N=Z\left(\chi_{Z}-x'\frac{d\chi_{Z}}{dx'}\right),

where χZ\chi_{Z} is the screen function associated with ϕZ(x′,ξe)\phi_{Z}(x',\xi_{e}). where UTF=20.9 Z4/3/ξe2/3U_{TF}=20.9\,Z^{4/3}/\xi_e^{2/3} eV. In Eq. (48) vFv_F is the Fermi velocity associated with the average energy of the valence electrons during recombination, kFvF=(2/ℏ)(ΔEF/Nv)k_Fv_F=(2/\hbar)(\Delta E_F/N_v).

The polarizability is given by

αp=(ε(kF,0)−1)ε0Nˉi(49)\alpha_p=\frac{(\varepsilon(k_F,0)-1)\varepsilon_0}{\bar{N}_i} \tag*{(49)}

where Nˉi\bar{N}_i is the average ion density during recombination. Thus,

ωe2=(270.25)(me7)1/2Z33π2ℏ3ξeε0,\omega_e^2=\frac{(270.25)(me^7)^{1/2}Z^3}{3\pi^2\hbar^3\xi_e\varepsilon_0},

from the previous result the polarizability is given by,

αp=(ε(kF,0)−1)ε0Nˉi=Nv2(270.25)(me7)1/2Z34π2ℏξe(ΔEF)2Nˉi.(50)\begin{aligned} \alpha_p&=\frac{(\varepsilon(k_F,0)-1)\varepsilon_0}{\bar{N}_i}\\ &=\frac{N_v^2(270.25)(me^7)^{1/2}Z^3}{4\pi^2\hbar\xi_e(\Delta E_F)^2\bar{N}_i}. \tag*{(50)} \end{aligned}

The average ion density can be estimated as gNgN, where NN is the atomic number density, and g=(rW/rˉ)3g=(r_W/\bar{r})^3, with rˉ=(rW+r0)/2\bar{r}=(r_W+r_0)/2. For LXe g=2.37g=2.37, αp/(4πε0)=1.30×104 A˚3\alpha_p/(4\pi\varepsilon_0)=1.30\times10^4\,\mathring{\mathrm{A}}^3, and for LAr g=6.07g=6.07, αp/4πε0=7.77×103 A˚3\alpha_p/4\pi\varepsilon_0=7.77\times10^3\,\mathring{\mathrm{A}}^3. To test Eq. (50) we estimate the polarizability of LXe and LAr in thermal equilibrium, in which case, instead of UTFU_{TF} we have to use the first ionization energy of the atom: 12.8 eV for LXe and 15.9 eV for LAr. Thus, we obtain αp≃4.5 A˚3\alpha_p\simeq4.5\,\mathring{\mathrm{A}}^3 for LXe and αp≃2.4 A˚3\alpha_p\simeq2.4\,\mathring{\mathrm{A}}^3 for LAr, which are similar to the measured values of 4.0 A˚34.0\,\mathring{\mathrm{A}}^3 and 1.7 A˚31.7\,\mathring{\mathrm{A}}^3, respectively [88].

Mean free path for electron ionization in atomic collisions

In § 2 A, we discussed the dielectronic emission process as a result of the collision between two atoms whose electrons interact through the electron-electron potential and the screened nucleus potential. At the threshold energy WiW_i, the electrons are emitted with an average energy ϵˉD\bar{\epsilon}_D. For energies larger than WiW_i electrons feel the attractive potential of both approaching atoms and, as a consequence, there is a probability of no emission. The probability of electron pair creation is related to the mean free path of the sum of the elastic and inelastic cross sections times the electron density in the binary collision.

For electrons with energies above 27.2 Z2/327.2\,Z^{2/3} eV, the elastic cross section is given by [28]

σel=4πa02Z4/3E0E,(51)\sigma_{el}=\frac{4\pi a_0^2Z^{4/3}E_0}{E}, \tag*{(51)}

where E0=13.6E_0=13.6 eV. The inelastic channel is given by the sum of all ionization (or excitation) processes [89]:

σi=∑iSiti+(ui+1)[Qln⁡ti2(1−1ti2)+(2−Q)(1−1ti−ln⁡titi+1)],(52)\sigma_i=\sum_i\frac{S_i}{t_i+(u_i+1)} \left[ \frac{Q\ln t_i}{2}\left(1-\frac{1}{t_i^2}\right) +(2-Q)\left(1-\frac{1}{t_i}-\frac{\ln t_i}{t_i+1}\right) \right], \tag*{(52)}

where ti=E/Uit_i=E/U_i, Si=4πa02ni(E0/Ui)2S_i=4\pi a_0^2n_i(E_0/U_i)^2, ui≃1/2u_i\simeq1/2, and QQ is the dipole constant defined in terms of the continuum dipole oscillator strength. Here, UiU_i and nin_i are the corresponding binding energy and orbital occupation number.

The electron density, NeN_e, relevant for the BG process in atomic collisions, is related to the exchange energy. Using the TF model, we estimate as

Ne=13π2ℏ3(2mEˉex)3/2,(53)N_e=\frac{1}{3\pi^2\hbar^3}(2m\bar{E}_{ex})^{3/2}, \tag*{(53)}

where Eˉex\bar{E}_{ex} is the average exchange potential energy in eV, calculated in terms of the sum of all orbital contributions. According to the electron free gas model [90], we obtain

Eˉex=−54.4a0(6/π)1/3Z∑iF(ηi)(Ni/2)1/3 eV.(54)\bar{E}_{ex}=-\frac{54.4a_0(6/\pi)^{1/3}}{Z}\sum_iF(\eta_i)(N_i/2)^{1/3}\ \mathrm{eV}. \tag*{(54)}

Here, NiN_i is the electron density in orbital ii and

F(ηi)=12+1−ηi24ηiln⁡(1+ηi1−ηi),(55)F(\eta_i)=\frac{1}{2}+\frac{1-\eta_i^2}{4\eta_i}\ln\left(\frac{1+\eta_i}{1-\eta_i}\right), \tag*{(55)}

with ηi=ki/ΔkF=Ui/2ΔEF\eta_i=k_i/\Delta k_F=\sqrt{U_i/2\Delta E_F}, where by the virial theorem (Ti=Ui/2)(T_i=U_i/2). The exchange energy contributes only if ℓ≠0\ell\ne0 and ηi≤1\eta_i\le1, for ki≥ΔkFk_i\ge\Delta k_F electrons are above the Fermi level and, if F(ηi)=0F(\eta_i)=0, consistent with the interpretation of ΔEF\Delta E_F. To compute NiN_i we use the Thomas-Fermi model with the AVG potential [20] evaluated at the corresponding radii, xi′=a0n2/bZeffix'_i=a_0n^2/bZ^{i}_{eff}, where nn is the principal quantum number of the orbital and ZeffiZ^{i}_{eff} effective charge of orbital ii, see Table IX and Table X.

iiShellZeffiZ^{i}_{eff}UiU_i eVnin_i
1(5s)14.2223.32
1(5p)12.4212.756
2(4s)26.17213.22
2(4p)24.96146.16
2(4d)21.8968.510
3(3s)35.581148.72
3(3p)35.67971.46
3(3d)39.95682.710
4(2s)39.854532
4(2p)49.834946.56
5(1s)52.92345612

Table IX. TABLE IX. Effective charge, ionization energies and occupation number for Xenon atom [43].

iiShellZeffiZ_{\mathrm{eff}}^{i}UiU_i eVnin_i
3(3s)7.7629.32
3(3p)6.7615.86
4(2s)12.23326.32
4(2p)14.01249.56
5(1s)17.5132062

Table X. Effective charge, ionization energies and occupation number for Argon atom [43].

For Ar, we need only consider the 3p3p orbital with electron density 8.68×10298.68\times10^{29} e/m3^3, which gives Eˉex=1.46\bar{E}_{ex}=1.46 eV. In the case of Xe, the orbitals 5p5p, 4p4p, 4d4d, 3p3p, and 3d3d must be included. Their electron densities, in units of e/m3e/\mathrm{m}^{3}, are 3.86×10293.86 \times10^{29}, 2.94×10312.94 \times10^{31}, 2.90×10312.90 \times10^{31}, 5.91×10325.91 \times10^{32}, and 5.98×10325.98 \times10^{32}, respectively, and Eˉex=10.8\bar{E}_{\mathrm{ex}} = 10.8 eV.

For the two-atom system, the mean free path is λ−1=Neσt(ΔEF)\lambda^{-1} = N_e\sigma_t(\Delta E_F), where σt(ΔEF)=σel(ΔEF)+σin(ΔEF)\sigma_t(\Delta E_F) = \sigma_{\mathrm{el}}(\Delta E_F) + \sigma_{\mathrm{in}}(\Delta E_F). By assuming a Poisson distribution, the probability of electron emission is 1−P1-P, with P=e−NλP=e^{-N_\lambda}, where Nλ=r/λN_\lambda=r/\lambda is the number of mean free paths for a separation rr of the approaching atoms. In Ziegler units, Nλ=ξe2/30.885 q a0Z−0.23Neσt(ΔEF)x/2N_\lambda= \xi_e^{2/3} 0.885\,q\,a_0 Z^{-0.23}N_e\sigma_t(\Delta E_F)x/2, where we considered the dependence of the scaling length on the electron density. The probabilities for no emission are P=e−0.068xP=e^{-0.068x} and P=e−0.5xP=e^{-0.5x} for LAr and LXe, respectively. Note that the exponential parameters are approximately proportional to Z2Z^2, thus for light noble liquids this effect becomes negligible [91].

References

  1. [1]J. Aalbers et al., First dark matter search results from the LUX-ZEPLIN (LZ) experiment, Physical Review Letters 131, 041002 (2023).DOI
  2. [2]P. Agnes et al., Darkside-20k: A next-generation liquid argon experiment for direct dark matter search, Journal of Instrumentation 19 (03), P03001.
  3. [3]E. Aprile et al., First dark matter search with XENONnT, Physical Review Letters 131, 041003 (2023).
  4. [4]D. Akimov et al., Measurement of the CEvNS cross section on argon, Physical Review Letters 126, 012002 (2021).
  5. [5]M. Giammei et al., Exploring new physics with the NU-CLEUS experiment, PoS ICHEP2024 476, 228 (2025).
  6. [6]C. Cai et al. (RELICS Collaboration), Reactor neutrino liquid xenon coherent elastic scattering experiment, Phys. Rev. D 110, 072011 (2024).DOI
  7. [7]D. Akimov et al. (COHERENT), First Measurement of Coherent Elastic Neutrino-Nucleus Scattering on Argon, Phys. Rev. Lett. 126, 012002 (2021), arXiv:2003.10630 [nucl-ex].DOI
  8. [8]D. K. Papoulias and T. S. Kosmas, Probing neutrino physics with CEvNS experiments, Frontiers in Physics 10, 834567 (2022).DOI
  9. [9]D. Aristizábal Sierra et al., Neutrino non-standard interactions and CEvNS physics, Journal of High Energy Physics 2023, 156 (2023).
  10. [10]V. De Romeri, L. Duque, D. K. Papoulias, G. S. Garcia, and C. A. Ternes, Refined extraction of electroweak and nuclear parameters from germanium ceνns data, Journal of High Energy Physics 2026, 77 (2026).DOI
  11. [11]J. Billard, E. Figueroa-Feliciano, and L. Strigari, Implication of neutrino backgrounds on the reach of next generation dark matter direct detection experiments, Phys. Rev. D 89, 023524 (2014).
  12. [12]L. Duque, J. M. Lamprea, and O. G. Miranda, Shifting the neutrino fog: studying the isospin-violating dark matter case (2026), arXiv:2512.19784 [hep-ph].arxiv.org/abs/2512.19784
  13. [13]J. Lindhard et al., Integral equations governing radiation effects, Kgl. Danske Videnskab. Selskab, Mat.-Fys. Medd. 33 (1963).
  14. [14]Y. Sarkis, J. C. D’Olivo, and A. Aguilar-Arevalo, Ionization efficiency for nuclear recoils in Si and Ge from first principles, Physical Review D 101, 096014 (2020).
  15. [15]F. Bezrukov, F. Kahlhoefer, and M. Lindner, Interplay between scintillation and ionization in liquid xenon dark matter searches, Astroparticle Physics 35, 119 (2011).DOI
  16. [16]F. Ziegler, J.P. Biersack, and U. Littmark, The Stopping and Range of Ions in Solids, Pergamon Press New York (1985).
  17. [17]M. Szydagis et al., NEST: Noble element simulation technique, Instruments 5, 13 (2021).
  18. [18]E. Aprile and T. Doke, Liquid xenon detectors for particle physics and astrophysics, Reviews of Modern Physics 82, 2053 (2010).DOI
  19. [19]Alternately referred to as the “electron-nuclear” interaction, “monoelectronic” process, or “singly inelastic” channel, its relative strength and dominance over the active channel depend dynamically on the impact parameters, the number of bound electrons, and the relative magnitudes of the projectile and target nuclear charges.
  20. [20]W. D. Wilson, L. G. Haggmark, and J. P. Biersack, Calculations of nuclear stopping, ranges, and straggling in the low-energy region, Phys. Rev. B 15, 2458 (1977).DOI
  21. [21]Y. Sarkis, A. Aguilar-Arevalo, and J. C. D’Olivo, Ionization efficiency for nuclear recoils in silicon from about 50 ev to 3 mev, Phys. Rev. A 107, 062811 (2023).DOI
  22. [22]R. Platzman, Total ionization in gases by high-energy particles: An appraisal of our understanding, The International Journal of Applied Radiation and Isotopes 10, 116 (1961).DOI
  23. [23]T. Doke, A. Hitachi, J. Kikuchi, K. Masuda, H. Okada, and E. Shibamura, Absolute scintillation yields in liquid argon and xenon for various particles, Japanese Journal of Applied Physics 41, 1538 (2002).DOI
  24. [24]C. E. Dahl, The physics of background discrimination in liquid xenon, and first results from XENON10 in the hunt for WIMP dark matter, Ph.D. thesis, Princeton U. (2009).
  25. [25]L. Baudis, P. Sanchez-Lucas, and K. Thieme, A measurement of the mean electronic excitation energy of liquid xenon, The European Physical Journal C 81, 1060 (2021).DOI
  26. [26]ECM = E/2 for identical atoms.
  27. [27]J. Lindhard, V. Nielsen, M. Scharff, and P. Thomsen, Integral equations governing radiation effects, Kong.Dan.Vid.Sel.Mat.Fys.Med. 33 (1963).
  28. [28]I. S. Tilinin, Quasiclassical expression for inelastic energy losses in atomic particle collisions below the bohr velocity, Phys. Rev. A 51, 3058 (1995).pubmed.ncbi.nlm.nih.gov/9911942
  29. [29]A. E. Chavarria et al., Measurement of the ionization produced by sub-key silicon nuclear recoils in a ccd dark matter detector, Phys. Rev. D 94, 082007 (2016).
  30. [30]K. Fedus, G. P. Karwasz, and Z. Idziaszek, Analytic approach to modified effective-range theory for electron and positron elastic scattering, Phys. Rev. A 88, 012704 (2013).DOI
  31. [31]M. Suzuki, T. Taniguchi, and H. Tagashira, Momentum transfer cross section of krypton deduced from electron drift velocity data, Journal of Physics D: Applied Physics 22, 1848 (1989).DOI
  32. [32]M. Suzuki, T. Taniguchi, N. Yoshimura, and H. Tagashira, Momentum transfer cross section of xenon deduced from electron drift velocity data, Journal of Physics D: Applied Physics 25, 50 (1992).
  33. [33]O. Zatsarinny and K. Bartschat, Large-scale pseudostate calculations for electron scattering from neon atoms, Phys. Rev. A 85, 062710 (2012).DOI
  34. [34]M. Hayashi, Determination of electron-xenon total excitation cross-sections, from threshold to 100 ev, from experimental values of townsend’s α, Journal of Physics D: Applied Physics 16, 581 (1983).DOI
  35. [35]I. S. Tilinin, Elastic scattering of electrons and positrons by complex atoms at medium energies, Soviet Physics JETP 67, 1570 (1988), translated from Zh. Eksp. Teor. Fiz. 94, 96–110 (August 1988).
  36. [36]M. Wojcik and M. Tachiya, Electron thermalization and electron–ion recombination in liquid argon, Chemical Physics Letters 379, 20 (2003).DOI
  37. [37]K. Fedus, G. P. Karwasz, and Z. Idziaszek, Analytic approach to modified effective-range theory for electron and positron elastic scattering, Phys. Rev. A 88, 012704 (2013).DOI
  38. [38]J. Lindhard, On the Properties of a Gas of Charged Particles, by J. Lindhard (E. Munksgaard, 1954).
  39. [39]< (k_F−Δk)^2/2m_e > = E_F + ΔE_F, since for the free electron gas distribution, the term < k_F · Δk > = 0.
  40. [40]For θ_c < π we have electron collisions described by a radial contribution potential with a non central term (e.g. electron-electron, spin coupling).
  41. [41]H. Narnhofer and W. Thirring, Asymptotic exactness of finite temperature thomas-fermi theory, Annals of Physics 134, 128 (1981).DOI
  42. [42]S. Kotchigova, Z. H. Levine, E. L. Shirley, M. D. Stiles, and C. W. Clark, Local-density-functional calculations of the energy of atoms, Phys. Rev. A 55, 191 (1997).
  43. [43]NIST, Atomic reference data for electronic structure calculations (2024).
  44. [44]Mayet, F., Guillaudin, O., Santos, D., and Trichet, A., Mimac: a μ tpc detector for non-baryonic dark matter search, EAS Publications Series 36, 263 (2009).DOI
  45. [45]T. Takahashi, S. Konno, T. Hamada, M. Miyajima, S. Kubota, A. Nakamoto, A. Hitachi, E. Shibamura, and T. Doke, Decay. Average energy expended per ion pair in liquid xenon, Phys. Rev. A 12, 1771 (1975).
  46. [46]M. Runne and G. Zimmerer, Excitonic excitations and desorption from rare-gas solids, Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms 101, 156 (1995), desorption Induced by.DOI
  47. [47]H. K. Mao, E. L. Shirley, Y. Ding, P. Eng, Y. Q. Cai, P. Chow, Y. Xiao, J. Shu, R. J. Hemley, C. Kao, and W. L. Mao, Electronic structure of crystalline 4He at high pressures, Phys. Rev. Lett. 105, 186404 (2010).
  48. [48]T. Doke, A. Hitachi, S. Kubota, A. Nakamoto, and T. Takahashi, Estimation of fano factors in liquid argon, krypton, xenon and xenon-doped liquid argon, Nuclear Instruments and Methods 134, 353 (1976).DOI
  49. [49]M. Szydagis et al., A review of NEST models for liquid xenon and an exhaustive comparison with other approaches, Front. Detect. Sci. Tech. 2, 1480975 (2024), arXiv:2211.10726 [hep-ex].DOI
  50. [50]M. Born and R. Oppenheimer, Zur quantentheorie der molekeln, Annalen der Physik 389, 457 (1927).
  51. [51]W. T. Y. Yamamura and T. Kawamura, The Screening Length of Interatomic Potential in Atomic Collisions (National Institute for Fusion Science (NIFS), 1998).
  52. [52]C. Lu, T. Carlson, F. Malik, T. Tucker, and C. Nestor, Relativistic hartree-fock-slater eigenvalues, radial expectation values, and potentials for atoms, Atomic Data and Nuclear Data Tables 3, 1 (1971).
  53. [53]K. Nordlund, S. Lehtola, and G. Hobler, Repulsive interatomic potentials calculated at three levels of theory, Phys. Rev. A 111, 032818 (2025).DOI
  54. [54]N. Bohr, The penetration of atomi c particles through matter, The Royal Danish Academy of Science (1948).
  55. [55]H. Gümüş and F. Köksal, Effective stopping charges and stopping power calculations for heavy ions, Radiation Effects and Defects in Solids 157, 445 (2002), https://doi.org/10.1080/104201502141610.
  56. [56]L. L. M. Cardona, Photoemission in Solids I (Springer-Verlag, Berlin, 1978).DOI
  57. [57]U. Rössler, Band structure of solid noble gases, Physica Status Solidi (b) 42, 345 (1970).
  58. [58]P. Agnes et al. (The ARIS Collaboration), Measurement of the liquid argon energy response to nuclear and electronic recoils, Phys. Rev. D 97, 112005 (2018).DOI
  59. [59]E. Aprile et al. (XENON100 Collaboration), First dark matter results from the xenon100 experiment, Phys. Rev. Lett. 105, 131302 (2010).DOI
  60. [60]H. Cao et al. (SCENE Collaboration), Measurement of scintillation and ionization yield and scintillation pulse shape from nuclear recoils in liquid argon, Phys. Rev. D 91, 092007 (2015).DOI
  61. [61]D. A. Liberman, Exchange potential for electrons in atoms and solids, Phys. Rev. 171, 1 (1968).DOI
  62. [62]H. Isobe and N. Nagao, Generalized hund’s rule for two-atom systems, Phys. Rev. B 90, 115122 (2014).
  63. [63]J. Thomas and D. A. Imel, Recombination of electron-ion pairs in liquid argon and liquid xenon, Phys. Rev. A 36, 614 (1987).pubmed.ncbi.nlm.nih.gov/9898903
  64. [64]J. A. LaVerne, A. Hitachi, and T. Doke, Scintillation response of liquid argon for 3–20 meV ion beams, Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 327, 63 (1993).DOI
  65. [65]E. Aprile, M. Anthony, Q. Lin, Z. Greene, P. de Perio, F. Gao, J. Howlett, G. Plante, Y. Zhang, and T. Zhu, Simultaneous measurement of the light and charge response of liquid xenon to low-energy nuclear recoils at multiple electric fields, Phys. Rev. D 98, 112003 (2018).DOI
  66. [66]D.-M. Mei, Z.-B. Yin, L. Stonehill, and A. Hime, A model of nuclear recoil scintillation efficiency in noble liquids, Astroparticle Physics 30, 12 (2008).DOI
  67. [67]M. Foxe, C. Hagmann, I. Jovanovic, A. Bernstein, T. Joshi, K. Kazkaz, V. Mozin, S. Pereverzev, S. Sangiorgio, and P. Sorensen, Modeling ionization and recombination from low energy nuclear recoils in liquid argon, Astroparticle Physics 69, 24 (2015).
  68. [68]M. Kimura, M. Tanaka, T. Washimi, and K. Yorita, Measurement of the scintillation efficiency for nuclear recoils in liquid argon under electric fields up to 3 kV/cm, Phys. Rev. D 100, 032002 (2019).DOI
  69. [69]M. Szydagis et al., A review of nest models, and their application to improvement of particle identification in liquid xenon experiments (2023), arXiv:2211.10726 [hep-ex].
  70. [70]A. Mozumder, Free-ion yield in liquid argon at low-let, Chemical Physics Letters 238, 143 (1995).DOI
  71. [71]W. Burns and A. Mozumder, Theoretical analysis of free-ion yield in liquid argon under low-let irradiation, Chemical Physics Letters 142, 381 (1987).
  72. [72]R. Resta, Thomas-fermi dielectric screening in semiconductors, Phys. Rev. B 16, 2717 (1977).DOI
  73. [73]E. E. Salpeter, Electron screening and thermonuclear reactions, Australian Journal of Physics 7, 373 (1954).DOI
  74. [74]It is expected that for Ω → 1 the ion has lost all electrons.
  75. [75]In this case the box size is on the order of 10 nm and the mean free path of the electrons is about 50 nm, verifying λₑ³nₑ ≫ 1.
  76. [76]E. Schrödinger, Quantisierung als eigenwertproblem, Annalen der Physik 385, 437 (1926).
  77. [77]This gives a similar result to the second order perturbation theory for non deformed charge distribution.
  78. [78]T. G. G. Gora Gori-Giorgi and E. J. Baerends, Asymptotic behaviour of the electron density and the kohn-sham potential in case of a kohn-sham homonodal plane, Molecular Physics 114, 1086 (2016), https://doi.org/10.1080/00268976.2015.1137643.
  79. [79]D.-M. Mei, Z.-B. Yin, L. Stonehill, and A. Hime, A model of nuclear recoil scintillation efficiency in noble liquids, Astroparticle Physics 30, 12 (2008).DOI
  80. [80]A. Lim, W. M. C. Foulkes, A. P. Horsfield, D. R. Mason, A. Schleife, E. W. Draeger, and A. A. Correa, Electron elevator: Excitations across the band gap via a dynamical gap state, Phys. Rev. Lett. 116, 043201 (2016).DOI
  81. [81]E. Holmström, K. Nordlund, and A. Kuronen, Threshold defect production in germanium determined by density functional theory molecular dynamics simulations, Physica Scripta 81, 035601 (2010).DOI
  82. [82]E. Holmström, A. Kuronen, and K. Nordlund, Threshold defect production in silicon determined by density functional theory molecular dynamics simulations, Phys. Rev. B 78, 045202 (2008).DOI
  83. [83]H. Yang, Y. Ma, and Y. Dai, Progress of structural and electronic properties of diamond: a mini review, Functional Diamond 1, 150 (2021), https://doi.org/10.1080/26941112.2021.1956287.
  84. [84]Y.-Q. Chu, Z.-F. Wan, F. Ritterbusch, W.-K. Hu, J.-Q. Gu, S.-M. Hu, Z.-H. Jia, W. Jiang, Z.-T. Lu, L.-T. Sun, A.-M. Tong, J. S. Wang, and G.-M. Yang, Optically enhanced discharge excitation and trapping of 39Ar, Phys. Rev. A 105, 063108 (2022).DOI
  85. [85]A. Kramida, Y. Ralchenko, J. Reader, and NIST ASD Team, NIST Atomic Spectra Database (ver. 5.11), https://physics.nist.gov/asd (2023).
  86. [86]R. H. Ritchie, Plasma losses by fast electrons in thin films, Phys. Rev. 106, 874 (1957).DOI
  87. [87]E. Fermi and E. Amaldi, Le orbite [infinito] s degli elementi (Reale Accademia d’Italia, 1934).
  88. [88]P. Schwerdtfeger and J. K. Nagle, 2018 table of static dipole polarizabilities of the neutral elements in the periodic table*, Molecular Physics 117, 1200 (2019).DOI
  89. [89]Y.-K. Kim and M. E. Rudd, Binary-encounter-dipole model for electron-impact ionization, Phys. Rev. A 50, 3954 (1994).pubmed.ncbi.nlm.nih.gov/9911367
  90. [90]I. Lindgren and K. Schwarz, Analysis of the electronic exchange in atoms, Phys. Rev. A 5, 542 (1972).DOI
  91. [91]We can set the ansatz P = e⁻Cz², with Cz = (3.01 × 10⁻⁴)Z².

Paper details

vlnc:W_m5p6th7z
v1 · latestHistory (1)

published · Fresh — added to the Hub within the last 30 days

added ·

Usage

views · 0

downloads · 0

A view counts once per browser per day, a download each time the PDF is requested.

CC BY 4.0

Original source

  • Physics and Astronomy

Not recorded for this paper · View statement →

Looking for related papers…
Contents