Quantum microscopic dynamical approaches
Abstract
Nuclear physics is ideal to test and develop techniques to describe the microscopic dynamics of quantum many-body systems. At low energy, nuclear dynamics is described with non-relativistic approaches based on the mean-field approximation and its extensions. Variational principles based on the stationarity of the action are introduced to build theoretical models with different levels of approximation. In particular, the time-dependent Hartree-Fock (TDHF) equation for mean-field dynamics and its linear approximation, also known as the Random Phase Approximation (RPA), are derived. Predictions of vibrational spectra at the RPA level are presented as an application. The inclusion of beyond TDHF correlations and fluctuations are then discussed. In particular, pairing correlations are treated at the BCS and Bogoliubov levels. The Balian-Vénéroni variational principle is finally introduced. In addition to provide some insight into mean-field limitations, it offers a possibility to incorporate quantum fluctuations of one-body observables with the time-dependent RPA formalism.
1 Introduction
The goal of this chapter is to introduce tools to describe the dynamics of nuclear systems out of equilibrium through their explicit time-evolution. This allows to investigate nuclear responses to external excitations leading to collective motion such as vibration, rotation and fission. The same tools are also used to study heavy-ion collisions such as fusion and (multi)nucleon transfer reactions.
Our focus in on the tools and concepts rather than applications. The ambition, here, is not to provide a review with an exhaustive list of references. The methods discussed in this Chapter, as well as their applications to nuclear dynamics have been recently reviewed in (Simenel 2012; Lacroix and Ayik 2014; Nakatsukasa et al 2016, Simenel and Umar 2018; Sekizawa 2019; Stevenson and Barton 2019), which the reader is invited to consult for further details. See also the Sky3D solver (Maruhn et al 2014; Schuetrumpf et al 2018).
Our framework is limited to low-energy nuclear dynamics, with typically few MeV per nucleon. In this case, the internal structure of nucleons in terms of quark and gluon degrees of freedom can be neglected. The nucleons are approximated as point-like spin fermions without internal excitations. They also carry an isospin to distinguish between protons and neutrons. Another consequence of the limitation to low-energy dynamics is that relativistic effects can be neglected in a first approximation.
The nuclei are then treated as non-relativistic quantum many-body systems, with up to nucleons in the case of actinide collisions (the heaviest nuclear systems that can be studied on Earth). Ideally, one has to solve the time-dependent Schrödinger equation
(1) |
where is the time-dependent many-body quantum state and the interaction between 2 nucleons. (For simplicity, 3-body interactions and higher are omitted.)
There are two main problems here. The first one is that is not well known. Unfortunately, this interaction is different to the one between two isolated nucleons (which can be measured through scattering experiments), and connecting the interaction in vacuum with the interaction in medium is not straightforward. This is in part due to the fact that the nucleons are not point like objects and could be polarised by surrounding nucleons, thus modifying the interaction in a non-straightforward way. Another difficulty is that relativity leaves significant traces in the nuclear interaction such as spin-orbit interaction terms.
The second problem is that it is usually impossible to solve Eq. (1) exactly. As a result, approximations to the quantum many-body problem are needed. A compromise is often needed between the complexity and level of precision of the mechanism one wants to describe in one hand, and, in the other hand, the computational capabilities that are available. This is the problem that is addressed here, leaving the very interesting and highly challenging issue with the in-medium interaction to others. It is thus assumed that is “known”, and the focus of this chapter on building efficient approximations to the time-dependent quantum many-body problem to describe aspects of low-energy nuclear dynamics.
As a reminder (as well as an introduction to the notation), this chapter starts with a description of many-body states. The question “Why can’t we solve the time-dependent Schrödinger equation exactly for many-body systems?” is then answered. Variational principles are introduced as a tool to optimise many-body dynamics. The time-dependent Hartree-Fock (TDHF) theory and its linearisation leading to the Random Phase (RPA) approximation are described in the following two sections. The inclusion of pairing correlations are then done within the time-dependent Hartree-Fock-Bogoliubov (TDHFB) and BCS approaches. The Balian-Vénéroni variational principle and its application to one-body fluctuations through the time-dependent RPA are discussed in the last section.
2 Many-body states
2.1 One-particle states
The quantum state of a single-particle is noted . It belongs to the Hilbert space of one particle, noted . In the framework of second quantisation, such a state is written , where is the state of the vacuum and creates a particle in the state .
2.2 Two distinguishable particles
When two particles are distinguishable, such as a proton and an electron in the Hydrogen atom, or a proton and a neutron in a deuteron, the state of each particle can be labelled, e.g., with a number. Two cases are considered: one where the particles are independent and one where they are correlated.
Independent particles
The state of two independent particles can be written as . In this case, the state of one particle does not depend on the state of the other particle. The notations are used equivalently.
Correlated particles
The state of two correlated particles is written as a sum of independent particle states: . The correlation reads as follows:
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If particle 1 is in , then particle 2 is in
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If particle 1 is in , then particle 2 is in
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The coefficients are the amplitude of probability for each configuration.
For example, in the case of a deuteron, if a proton is found in , the neutron is at a nearby position and not elsewhere. In the case of a prolately deformed nucleus, if one nucleon is found at one tip of the nucleus, then another one has to be present at the other tip.
2.3 Two indistinguishable fermions
Now consider the case of two identical fermions which are indistinguishable. In this case, the states and are equivalent and must both appear with the same probability in the two-body state. For two independent fermions,
The minus sign accounts for the fact that the state must be antisymmetric for fermions (there would be a plus sign for bosons). The antisymmetry is obvious as . In particular, which is a manifestation of the Pauli principle.
The state can be written in the form of a Slater determinant
where is the antisymmetrisation operator.
In second quantisation, , with the antisymmetry ensured by the anticommutation relationship . The generalisation to correlated two-particle states becomes . Both and belong to the Hilbert space of two identical fermions .
2.4 Many-fermion states
The generalisation to the case of identical fermions is now straightforward. For independent particles, the many-body state is described by a Slater determinant
As before, a correlated state is written as a sum of independent particle states . As a result, a complete set of orthonormal Slater determinants constitute a possible basis of the Hilbert space of particles .
3 Why can’t the many-body time-dependent Schrödinger equation be solved exactly?
Consider a Slater (uncorrelated many-body state) at initial time . The goal is to evaluate the state at a later time . This can be done using the evolution operator
with the Hamiltonian
The first term of the Hamiltonian (the kinetic energy) is a one-body operator, while the second term (the interaction) is a two-body operator. (The factor is to avoid double counting interactions between pairs of particles.)
If (no interaction), then the particles remain independent and evolve according to their own kinetic energy operator . In this case, the state remains a single Slater determinant and the problem becomes trivial. Of course, the difficulty comes from the interaction when it is non-zero.
The exponential of an operator is usually expressed as a Taylor expansion. As the latter is an infinite sum, it needs to be truncated. For a time evolution operator, this is done with a small time increment . The evolution over is then repeated many times to reach the desired time .
Choosing small enough, the exponential can be approximated in the first order, .
The first iteration reads . One then has to compute the action of the interaction on the initial Slater, .
Let us use some simple (and maybe not so rigorous) arguments to evaluate the complexity of the problem. If there was only one sum instead of two (), then the problem would be mathematically similar to the case, i.e., the Slater would remain a Slater at all times. However, there is an additional sum which means that the state at is a sum of (the number of particles) Slaters. One then expects Slaters at and, more generally, Slaters at . This exponential increase in not tractable. As a result, the many-body Schrödinger equation can usually not be solved brut force, and an approach which allows to build various levels of approximation is required.
4 Variational principles
Neglecting relativistic effects, the exact evolution is supposed to be given by the time-dependent Schrödinger equation. Thus, any theory that is equivalent to Schrödinger when no approximations are made is as “good” as Schrödinger.
4.1 Variational principle with the Dirac action
There are several variational principles that could be used. For the moment, consider a variational principle based on Dirac’s action
Requiring the stationarity of the action, , leads to the Schrödinger equation.
Remember that, for a complex variable , there are two independent variables, and , or, equivalently, and . Similarly, and can be treated as independent variational quantities and the property can be restored at the end. The stationarity condition is then expressed as
The first condition gives
where was used. The last line is the Schrödinger equation.
The second condition can be expressed as
One has to be careful with the term. Using integration by part,
(2) |
(Note that in the term was not used intentionally.)
Now “restore” the property . As shown earlier, imposing leads to the Schrödinger equation. Taking its Hermitian conjugate, . Comparing with Eq. (4), it is seen that, to have , one needs to have
This is obtained by forbidding variations at the initial and final times, i.e., .
To summarise, defining the Dirac action and requiring leads to Schrödinger equation, while gives its Hermitian conjugate if it is required that cannot vary at and .
4.2 Variational space
To get Schrödinger from the variational principle , the variational space for was not restricted, i.e., it spans the entire Hilbert space . If the variational space was restricted to a sub-space of , one would expect to get a solution to the variational principle that is not solution to the Schrödinger equation, but which is an optimised approximation of the exact evolution within . The role of a theorist is then to choose a sub-space which (i) contains enough physics to give a good approximation to the evolution of the system of interest, and (ii) is simple enough so that the resulting equations of motion can be solved analytically or numerically.
5 Time-Dependent Hartree-Fock (TDHF) theory
If the state of the system was to remain a Slater at all time, then the evolution would be in principle easier to evaluate. The TDHF theory, as proposed by Dirac in 1930, is built upon the approximation that the state of the many-body system remains in the sub-space of Slater determinants. To get the TDHF equation, one then needs to solve the variational principle within this subspace.
5.1 TDHF equation
The Dirac action is
where is a Slater determinant built from the occupied single-particle states , .
The expectation value of the time derivative is computed first. From
one gets
Now compute the expectation value of the Hamiltonian and write it as an energy density functional (EDF) :
where is the one-body density matrix. Its elements are defined as
(5) |
For a Slater,
(6) |
For instance, in the position-spin-isospin basis of , , one has
The one-body density matrix is expressed as a function of all the occupied single-particle states. It contains the same information on the system as the Slater. This is why the functional can be replaced by the energy density functional . The EDF accounts for the kinetic energy and the interaction between the particles. The most popular EDF are the Skyrme and Gogny functionals [see (Bender et al 2003) for a review].
The action is then written as
where the notations and are introduced.
The variational principle is solved by considering the variation of all the independent variables and , :
(8) |
The variation over gives
(9) |
The functional derivative of can be re-written thanks to a change of variable
(10) |
Using
(11) |
and noting the single-particle Hartree-Fock Hamiltonian with matrix elements
(12) |
one gets the TDHF equation for the set of occupied states
(13) |
As in the Schrödinger case, the variation over leads to the complex conjugate of the TDHF equation.
The TDHF equation can also be written in a matrix form
or, using Dirac notation,
(14) |
Note that the single-particle Hamiltonian is self-consistent, i.e., it depends on the density matrix . It is then also a function of time. As a result, the TDHF equation is equivalent to a set of non-linear single-particle Schrödinger equations. The non-linearity comes from the self-consistency of : The Hamiltonian is a function of the states on which it acts.
5.2 Liouville form of the TDHF equation
The one-body density matrix can be written as an operator of :
Indeed, its matrix elements
are the same as for a Slater determinant in Eq. (6).
Multiplying Eq. (14) by on the right and summing over ,
(15) |
Similarly, multiplying the Hermitian conjugate of Eq. (14) by on the left and summing over leads to
(16) |
Taking the difference between Eqs. (15) and (16) gives the Liouville form of the TDHF equation
(17) |
This can be written also in the matrix form
(18) |
5.3 Solving TDHF
The easiest way to solve the TDHF equation numerically is to start from the non-linear Schrödinger equation for occupied single-particles wave-functions
Because is time-dependent, one cannot use as an evolution operator, unless one considers an evolution over a time interval that is short enough so that the variation of during this time interval can be neglected, i.e., .
To ensure that the evolution is unitary (required for energy and particle number conservations), one needs the same operator (up to Hermitian conjugation) to go from as the one to do the time-reversed operation . Therefore, has to be estimated at .
A possible algorithm is
(19) |
The initial state could be a Hartree-Fock (HF) ground-stale which is put into motion thanks to an external one-body time dependent potential added to the mean-field. For collisions, one usually starts with two non-overlapping HF ground-states at some finite distance in a large box and a Galilean boost ( denotes the two nuclei) is applied to induce a momentum to the nucleons at the initial time .
Typical TDHF solvers use cartesian grids with mesh spacing fm. Several types of boundary conditions can be used:
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Hard (particles are reflected by an infinite potential on the edges of the box)
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Periodic (particles reaching one edge reappear on the other side)
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Absorbing (particles are absorbed on the edge)
Absorbing boundary conditions can be obtained with an additional layer of imaginary potential outside the box, or by “twisting” the phase on the boundaries (Schuetrumpf et al 2016).
5.4 Static HF
Static HF ground-states are required to build the TDHF initial condition. The static HF equation reads
As they commute, one can find a single-particle states basis that diagonalises both and simultaneously. (Note that to solve TDHF, a basis needs to be chosen. TDHF equations are usually solved in the “canonical” basis in which is diagonal. In this basis, is not diagonal if and do not commute, i.e., when the state evolves in time: .)
In principle the HF ground-states could be determined from any HF code as long as the same energy density functional is used as in the TDHF evolution. However, to minimise numerical errors, it is best to use a HF code that uses the same numerical approximations as in TDHF, in particular in term of mesh grid and spatial derivatives.
One way to do this is by solving the HF equation with the imaginary time method, i.e., replacing in the TDHF equation. This makes an initial state (usually built from Nilsson or harmonic oscillator wave-functions) converge towards the ground-state.
Of course, in the Hartree-Fock theory, the Hamiltonian is self-consistent so an iterative process with imaginary time step is needed. In addition, is not unitary so an orthonormalisation of the occupied single-particle wave-functions is required, e.g., with a Gram-Schmidt procedure.
5.5 Examples of TDHF applications
Here, some applications are only briefly mentioned. See Reviews (Simenel 2012; Lacroix and Ayik 2014; Nakatsukasa et al 2016, Simenel and Umar 2018; Sekizawa 2019; Stevenson and Barton 2019) for more detailed examples.
TDHF calculations are now standard to investigate various aspects of nuclear dynamics. Collective vibrations can be studied by computing the time evolution of multipole moments of a nucleus following a collective boost excitation (see next section on RPA). Although most applications have been dedicated to giant resonances, low-lying collective vibrations have been also studied.
Fusion barriers can be obtained in a straightforward manner by searching for fusion thresholds in head-on collisions. Below this threshold, the two fragments re-separate after contact. Once this threshold is overcome, the fragments merge in a single one. Compared to barrier heights of the “bare” nucleus-nucleus potential, this fusion threshold is often found at a lower energy due to dynamical effects such as vibration and transfer in the entrance channel. Applying the same method for searching for fusion thresholds at finite impact parameters allow the computation of above barrier fusion cross-sections.
Even if the nuclei do not fuse after contact, part of the wave-function can be transferred from one fragment to the other in quasi-elastic collisions. The final fragments being a coherent superposition of eigenstates of the particle number operator, one obtains a distribution of probability to find a given number of nucleons in the final fragments. Naturally, both fragments are entangled so that “measuring” the number of protons or neutrons of one fragment projects the other fragment into a state with the corresponding number of nucleons as the total number of particles is conserved in TDHF.
Significant efforts have been dedicated in the past decade to study heavy-ion collision at energies well above the barrier, leading to deep inelastic collisions (DIC), as well as in heavy systems leading to quasi-fission where fission-like fragments are produced without the intermediate formation of an equilibrated compound nucleus. These reactions offer a wide variety of observables to compare with experiment, such as fragment mass and charge distributions, scattering angle and final kinetic energy. Comparison with theory offers valuable information on expected contact times between the fragments, as well as equilibration and dissipation mechanisms.
5.6 Limitations of TDHF
The TDHF theory is based on the mean-field approximation. It describes the evolution of independent particles in a mean-field potential produced by the ensemble of particles. As a result, some correlations are neglected. This is the case of pairing correlations that lead to the formation of Cooper pairs and induce a superfluid behaviour to some nucleons in the nucleus. These correlations are generated by the pairing residual interaction that is neglected in the Hartree-Fock approximation.
Another limitation is the lack of quantum tunnelling of the many-body wave-function. This is due to the restriction of the variational space to a single Slater determinant. In reality, colliding nuclei have a non-zero probability to fuse even at sub-barrier energies thanks to tunnelling. However, to describe a coherent superposition of a fused system and a system of two outgoing fragments, one would need at least two Slaters, one for the compound nucleus and for the outgoing fragments. Standard applications of TDHF are then unable to describe sub-barrier fusion or spontaneous fission. There are however, techniques such as Density-Constrained TDHF that allow to extract a nucleus-nucleus potential from TDHF simulations of two colliding nuclei (Umar and Oberacker 2016). Such potential can then be used to evaluate tunnelling probabilities with standard techniques, and then predict fusion cross-sections even below the barrier. Alternatively, tunnelling can be studied at the mean-field level through a Wick rotation changing real time into imaginary time (Levit 1980). However, this approach has not reached the level of realistic applications yet.
It is also well known that TDHF lacks of quantum fluctuations. This is evident from comparisons between theoretical predictions and experimental measurements of fragment particle number distributions in deep-inelastic collisions in which TDHF underpredicts widths of these distributions. This is again a limitation due to the restriction to a single Slater determinant. Indeed, in TDHF, one Slater is used to describe all exit channels. While the mean-field dynamics of this Slater is expected to give a reasonable description of the most likely outcome, it is unlikely to be realistic for exit channels that deviate significantly from the average one.
5.7 Justification of the mean-field approximation
It may seem strange that an independent particle approximation works for the nucleus which is a very dense object of nucleons very close to each other and interacting via the strong and Coulomb interactions. What makes it work is the Pauli exclusion principle. The latter prevents the collision of two nucleons to happen inside the nucleus if the final state of the collision is already occupied.
Consider two nucleons with an energy and before they interact and an energy and after the collision. Because of energy conservation, and assuming the state of the other nucleons is not changed, one has . In the ground state, or a low excitation energy state, the nucleons have initially an energy lower than the Fermi energy below which single-particle states are essentially occupied and above which they are mostly empty. This means that and . Thus, even if one final state has , the other must have an energy lower than and then one nucleon ends up in a state which is likely to be already occupied, which is forbidden by Pauli. This “Pauli blocking” increases the mean-free path of a nucleon to about the size of the nucleus, reducing the effect of collisions and thus allowing the mean-field approximation to work.
6 Random Phase Approximation (RPA)
(The term “random phase” refers to another way of deriving the RPA equations.)
6.1 Harmonic approximation
The RPA is used to study small amplitude oscillations of many-body systems. It is a “harmonic” approximation as in the small amplitude limit (i.e. the system is only allowed small deformations around the ground-state) the potential energy varies quadratically, , with respect to the deformation (e.g., multipole moment). In the harmonic picture, the relationship between the frequency of the oscillation and the energy spectrum of the harmonic oscillator can then be used.
6.2 Transition amplitude
In addition to the energy of the vibration, one is also interested in its collectivity quantified by the transition amplitude between the ground-state and the first phonon of the vibrational spectrum. is a one-body operator, often chosen as a multipole moment
In the expression for the transition amplitude , the contributions of each nucleon to the many-body state are summed over. Then, the larger the magnitude of , the larger the collectivity. Both and can be extracted from TDHF using the linear response theory.
6.3 Linear response theory
The time evolution of an observable is computed from the time-dependent state after an excitation induced by a small boost on the ground-state :
(20) |
Inserting where are the eigenstates of with eigenenergies ,
The time-evolution of the state reads
with . The response to this excitation can be written
(22) | |||||
The energies and transition amplitudes can be extracted from the strength function
(23) |
Indeed, using the expression (22) for ,
(24) | |||||
(25) |
6.4 Strength function from TDHF evolution
The evolution of can be computed directly from TDHF codes. The boost of Eq. (20) can be applied directly to the single-particle wave-functions according to
To ensure that the response is in the linear regime, various values are usually used to check that .

An example of octupole response in the linear regime is shown in Fig. 1 in 40Ca and 56Ni. The computation of the strength function can be done with Eq. (23). However, the computational time being finite, the integral cannot be performed up to . Performing the integration up to without modifying Eq. (23) would induce spurious oscillations in the spectrum as can be expected from the Fourier transform of a signal convoluted with a step function. To avoid such spurious oscillations, one usually multiply by a damping function (e.g., a or a Gaussian function) decreasing slowly from to . The damping function induces a small width proportional to in the strength function.
The strength functions associated with the octupole responses in 40Ca and 56Ni are shown in Fig. 1. The rapid oscillation of the octupole moment in 56Ni is associated with a higher energy MeV than in 40Ca where the main low-lying octupole vibration is found at MeV. Other states with smaller strengths are also observed at higher energy. As these nuclei have ground-state spin and parity , and as the octupole operator allows for a change of angular momentum , these vibrational states have a spin-parity . The area of the peaks correspond to the transition probabilities .
6.5 Reduced electric transition probability and deformation parameters
The transition amplitudes can be used to evaluate other useful quantities such as the reduced electric transition probability and the deformation parameters. The former can be evaluated according to
where the proton density is assumed to be proportional to the neutron density. For instance, one can evaluate from the TDHF evolution of the quarupole moment following a quadrupole boost.
The deformation parameter can be computed from
where is the nuclear radius with fm. It is often useful to compare deformations of different nuclei, as well as to account for couplings to low-lying vibrations in coupled-channel calculations of heavy-ion collisions.
6.6 Giant resonances
Giant resonances are highly collective nuclear vibrations that can usually decay by emitting nucleons. Their first phonons are often found between 10 and 30 MeV, depending on their multipolarity as well as their scalar/vector and isoscalar/isovector characteristics. Although most TDHF applications to nuclear vibrations are dedicated to giant resonances, the fact that they decay via particle emission means that such calculations has to be treated with care to avoid spurious finite size effects of the numerical box. To avoid using very large boxes (which often limit the calculations to spherical symmetric systems), one can use absorbing boundary conditions. In this case, the resulting strength functions correspond to continuum-RPA calculations.

An example of TDHF calculation of a monopole giant resonance in 208Pb is shown in Fig. 2. The direct decay of the oscillation amplitude is due to evaporation of nucleon wave-functions that are leaving the nucleus. This decay is exponential and contributes to the width of the peak in the strength function.
6.7 RPA equation
TDHF can be used in the small amplitude regime to extract energies and transition amplitudes of vibrational states at the RPA level. This is not, however, how a standard RPA code works. The goal is now to show the connection between linearised TDHF and RPA in more details.
When a small boost is applied to the wave function, it induces a perturbation to the one-body density matrix
(26) |
where is the one-body density matrix of the Hartree-Fock ground-state. In TDHF, the many-body state remains a Slater with the corresponding one-body density matrix . One can see that is a projector onto the sub-space of occupied single-particle states by computing as . Using this property with the expression (26) gives
As a result, and
(27) |
In the single-particle basis which diagonalises ,
where and denote hole and particle states, respectively.
Let us write in this basis and use Eq. (27) to get
implying that . As a result, has only particle-hole non-zero matrix elements.
The RPA equation is an equation for . It is obtained from the linearisation of the TDHF equation, i.e., keeping only terms linear in :
(28) |
Expanding the Hamiltonian as
leads to
Note that is a shorthand notation for
One then gets the RPA equation
(29) |
where
is the RPA matrix acting only on the particle-hole space and is the RPA, or , residual interaction.
6.8 RPA modes
Let us decompose the density matrix as
where stands for “Hermitian conjugate”. The RPA equation then becomes
(30) |
leading to
(31) |
This is an eigenvalue problem with the RPA modes of energy .
These energies are the same as the ones obtained from the linear response of TDHF, corresponding to peaks in the strength functions such as the ones plotted in Fig. 1. The task of an RPA code is then to diagonalise the RPA matrix in order to get these energies, and, from the corresponding eigenstates, the transition amplitudes. Unlike TDHF, no explicit time evolution is required.
RPA goes beyond HF thanks to the residual interaction . In HF, which, in the basis which diagonalises both and , gives
with and diagonal matrices with single-particle energies and on their diagonal. In RPA, there is also the residual interaction
in the particle-hole channel. This residual interaction is what is responsible for the collectivity of vibrational state, allowing many 1p1h excitations to contribute coherently. This is illustrated in Fig. 3 where a RPA response (from TDHF) is compared to an “unperturbed” one obtained without the residual interaction. Large peaks in the strength function, corresponding to collective vibrations, are indeed only observed once the RPA residual interaction is taken into account.

Collective excitations in RPA (and in TDHF in the linear regime) are then coherent superpositions of one-particle one-hole excitations. One then understands why large differences between strength functions of various nuclei are sometimes found, as illustrated in the octupole responses of 40Ca and 56Ni in Fig. 1. Indeed, despite the fact that these nuclei are both doubly magic isotopes, their low-lying collective octupole vibrations have very different properties, with the energy in 56Ni more than twice the one in 40Ca. This is because in 40Ca, configurations coupling to spin-parity can be formed by promoting nucleons from the shells to the empty level sitting just above the Fermi level. In 56Ni, however, the level is fully occupied, and coupling a hole in this level to a particle in the other states cannot produce the desired spin-parity. As a result, the first configurations can only be obtained by coupling holes with the particle states in the higher energy level, and/or by coupling holes with (excluding ) particles states, producing a collective states at much higher energy than in 40Ca.
6.9 Widths of giant resonances
The width of a giant resonance (GR) has 3 components:
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The Landau dampings is due to the coupling of the collective (coherent) superposition of configurations forming the GR to incoherent excitations.
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The escape width is due to the emission of particles. It requires a proper treatment of the continuum.
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The spreading width comes from the coupling of configurations to states.
RPA and TDHF account for the Landau damping and the escape width (if the continuum is properly accounted for), but not the spreading width which requires residual interaction. This is the purpose of the “second-RPA” and extended TDHF approaches. As a result, the RPA and TDHF are known to underestimate the width of GR.
6.10 TDHF versus RPA
Although TDHF, in the linear limit, is formally equivalent to RPA, there are pros and cons in their implementation, and, depending on the application, one may favour the use of one solver against the other.
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RPA is sometimes solved with a simplified residual interaction in the channel (e.g., neglecting spin-orbit or Coulomb interaction). This can lead to spurious modes which need to be removed. TDHF, on the contrary, gives a fully self-consistent RPA response, i.e., the same interaction (or functional) is used to compute and . Naturally, fully self-consistent RPA codes that account for all terms in the residual interaction are free of such spurious modes.
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Unlike RPA, TDHF is not limited to the linear response. Nonlinearities in TDHF can be used to investigate other terms of the residual interaction than , such as and .
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A proper treatment of the continuum is necessary for unbound states such as giant resonances. In continuum-RPA, this is done with Coulomb (for protons) and Hankel (for neutrons) functions. In TDHF, this is often done with absorbing boundary conditions.
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RPA gives the amplitudes of the single-particles contributing to a collective state more directly than TDHF.
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TDHF may require long computational times, in particular if one wants to achieve a high resolution in the strength functions.
7 Time-Dependent Hartree-Fock-Bogoliubov theory
Pairs of nucleons with a strong overlap of their wave-functions (e.g., Cooper pairs of nucleons in time reversed states and ) are particularly sensitive to the short-range part of the nuclear interaction, leading to a pairing energy and pairing correlations between the particles: if one particle goes from one energy level to another, then the other one is expected to follow. The resulting correlated state is a coherent superposition of configurations.
7.1 Manifestation of pairing
In condensed matter, Cooper pairs are responsible for superconductivity and superfluidity. In nuclear physics, pairing induces odd-even mass staggering (even numbers of neutrons or protons are more bound than odd numbers), enhanced pair transfer in heavy-ion collisions (with respect to the transfer of 2 independent nucleons), backbending effect (moment of inertia suddenly increases when there is enough rotational energy to break a pair, which in turns slows down the rotation), and a first (non-collective) excitation in mid-shell even-even nuclei at MeV (energy needed to break a pair).
Note that the pairing residual interaction can only move a pair by MeV, so only nucleons near the Fermi surface can be paired. Indeed, the scattering of more bound nucleons would be blocked by the Pauli exclusion principle as the final state would be already occupied. As a result, the contribution of pairing to the total binding energy is relatively small.
7.2 Including correlations via symmetry breaking
Before discussing the specific case of pairing, let us review the general technique of including correlations at the mean-field level through symmetry breaking. The idea is that by allowing the mean-field Hamiltonian to break a symmetry of the exact Hamiltonian, one can include some of the residual interaction, while preserving the simplicity of a mean-field treatment.
Translational invariance
As a first example, let us discuss the case of translational invariance. The interaction between two nucleons depends on their relative distance, not the position of their centre of mass, so the interaction is of the form . If translational invariance is imposed to the mean-field Hamiltonian , however, one can see that , and therefore itself have to be flat (constant in space). In this case the eigenstate of are plane waves occupying the entire space: There is no spatial correlations between the nucleons and therefore no nucleus…
To allow a mean-field treatment of the nucleus, translational invariance needs then to be broken with a position dependent mean-field potential trapping the nucleons.
Rotational invariance
The same approach can be used by breaking rotational invariance of , i.e., with a deformed mean-field along a particular direction. This induces a deformation of and allows for a mean-field treatment of long-range correlations responsible for static deformations in nuclei.
7.3 Pairing correlations through breaking of gauge invariance
A mean-field treatment of pairing correlations can be obtained by breaking gauge invariance responsible for particle number conservation.
Generalised one-body density matrix
Recall that the one-body density associated with a Slater contains the same information as the Slater itself. One can then focus the reasoning on how to treat pairing with an object like .
A Slater has a “good” (i.e., a well defined) number of particles . Thus, only the matrix elements are needed as . If one now considers a state which does not have a good number of particles, then the so-called anomalous density and its complex conjugate do not vanish. In this case, a “generalised” one-body density matrix which contains both and is used. It is defined as
Quasi-particle vacuum
The focus is now on the state . For a Slater, . In order to preserve the simplicity of mean-field equations, it is desirable to keep a similar form of a product of independent operators. However, to describe a system that does not have a good number of particles, a Slater cannot be used.
The form of a state describing a coherent superposition of various numbers of pairs of particles can be guessed as something like
(32) |
where the first term in the r.h.s. contains zero pair, the second contains one pair, the third contains two pairs, etc.
This state can also be written
(33) |
or, equivalently,
(34) |
Note that, and are generic matrices. Their complex conjugation in Eq. (34) is a convention. To show that Eqs. (33) and (34) are equivalent, start from (34), develop, bring the to the left using and , and use . This is easier to show at the BCS level where and couple time reversed states and only:
Introducing the quasiparticle operator through a Bogoliubov transformation, one gets . The and matrices can be chosen such that the quasi-particle operators obey the Fermionic anticommutation relationship and . In this case, , , i.e., is a quasiparticle vacuum. A state with, say, N quasiparticle excitations, , is clearly a state of independent quasi-particles. This is the generalisation of a Slater that was looked for.
Non-conservation of particle number
Before going to the TDHFB equation, let us discuss why the particle number conservation had to be broken in the first place. The problem comes from the component of which is associated with the two-body density matrix with elements . In (TD)HFB, these terms are approximated by (involving and ) which, to be non-zero, require the state to be a superposition of Slaters with different particle numbers, and which is described as a quasi-particle vacuum.
TDHFB equation
The TDHFB equation can be obtained from the variational principle with the Dirac action and the variational space defined by independent quasiparticles. Note, however, that this variational space span subspaces of .
The TDHFB equation is given here without derivation:
(35) |
where is the self-consistent generalised Hamiltonian of the form
and
is the pairing field.
Static HFB equation
It can be shown that is in fact conserved in TDHFB, i.e., the particle number is conserved in average. However this is not the case in the algorithms used to solve the static HFB equation
(36) |
It is therefore necessary to add a constraint on the particle number, e.g., replacing by , where is a Lagrange parameter adjusted to force the system to have particles at its minimum of energy.
7.4 Restoring a good particle number
Physicists are not always at ease with extracting observables (wether for structure or reaction studies) from states which have a number of particles defined only in average. Therefore they sometimes use a particle number projection technique to transform the HFB state into a state with well defined particle number. The projector onto a state with particles acts as
Indeed, decomposing with and , one gets
Noting that for , one finally obtains
A potential problem is that is a sum over quasiparticle vaccua. This takes the state outside the variational space of independent quasiparticle states. As a result, the final projected state is not entirely consistent with the variational approach.
7.5 Some applications of TDHFB
pairing vibrations
Pairing vibrations are associated with oscillations of . They can be studied in the same way as “normal” vibrations with using the small amplitude limit. The quasiparticle RPA (QRPA) can also be obtained from the linearisation of the TDHFB equation. Pairing vibrations are probed in pair transfer reactions with an operator containing and/or terms.
For instance,
induces transitions, e.g., from ground-state of a nucleus with nucleons to states in nuclei with nucleons. The TDHFB linear response contains modes from both final nuclei. As in RPA, some modes are clearly collective (larger peaks in the strength function). They are called pairing vibrations and are expected to be significantly populated in pair-transfer reactions.
Fusion barrier
Recently, full TDHFB simulations of fusion reactions have shown a possible hindrance of fusion due to different gauge angles (created by the gauge symmetry breaking) between the colliding nuclei and producing a domain wall at the neck (Magierski 2017; Scamps 2018).
8 Balian-Vénéroni variational principle
The possibility to have different variational principles was mentioned earlier. Indeed the action is not unique and, as long as one recovers Schrödinger in the exact case, i.e., without restriction of the variational space, they could equivalently be considered in order to build approximated dynamics. It turns out that TDHF is usually recovered at the simplest level, both from variational and non-variational approaches. It is often interesting to see different approaches to derive an equation such as TDHF as they usually give us new perspectives on the range of possible applications and limitations of the theory.
8.1 Balian-Vénéroni action
The Dirac action has two variational quantities, and , both describing the time evolution of the many-body state. They lead to the Schrödinger picture in which the time evolution is carried by the state while the observables are time-independent quantities. This is not the only possible picture. For instance, in the Heisenberg picture, the observables evolve in time while the state remains static.
Balian and Vénéroni (BV) proposed an action that mixes both Schrödinger and Heisenberg pictures. The BV action has two variational quantities, namely the many-body state described by its density matrix
and the observable (Balian and Vénéroni 1981). This way, one can recover the exact dynamics in both the Schrödinger and Heisenberg pictures. The BV action is defined as
(37) |
with the boundary conditions
(38) |
(the initial state of the system at the initial time is known) and
(39) |
(the goal is to compute the expectation value at the final time ).
8.2 Exact evolution
Schrödinger equation
Let us verify that the exact evolution is recovered if no restrictions on the variational spaces are imposed. As the approach contains two variational quantities, the variational principle is obtained by imposing and , where induces small variations with respect to .
As is fixed by a boundary condition, . As a result,
For this to be true for all variations of , the term in brackets must be zero, leading to the Liouville form of the Schrödinger equation
(40) |
Heisenberg equation
Now consider the variations with respect to . It is easier to first rewrite the integral term in the action (37) using an integration by part:
(41) |
As is fixed, the variation of vanishes. Conveniently, the will cancel with the first term in the action (37). In addition, the last term can be rearranged using
One then obtains
(42) |
As this must be true for all variation of , one concludes that
(43) |
which gives the exact evolution of in the Heisenberg picture.
8.3 TDHF from the BV variational principle
Let us restrict the variational space of to independent particle states, i.e., where is a Slater, and the variational space of to one-body operators, i.e., in second quantisation,
Because the variations are arbitrary, one is free to choose
where and are arbitrary.
leads to
(44) |
Form the definition of the trace , where is a basis of , one has
(45) |
where the state is decomposed into and the definition of the one-body density matrix in Eq. (5) was used.
The second trace in Eq. (44) can be computed in the same way:
(46) | |||||
The goal is now to show that this last term is just . This is usually done by introducing an explicit expression for . However, here, one wishes to remain general so that the approach is still valid in the EDF formalism.
Introducing a basis of eigenstates of with eigenvalues ,
One can write in the particle hole basis built from as
(47) |
with . As a result,
(48) |
Now rearrange the term in order to express it as a function of the same quantities:
Noting and ,
(49) |
Notice that, in the canonical basis, and are non-zero only if is a hole state. Using and the decomposition (47), one can see that Eq. (49) includes terms like
(50) | |||||
Only terms are non zero and, for a Slater, and . As a result, as cannot be a particle and a hole at the same time. Equation (49) then becomes
(51) | |||||
Comparing with Eq. (48), the conclusion is that
(52) |
Combining Eqs. (44), (45), (46), and (52),
which, after rearranging, leads to the TDHF equation in the Liouville form
This demonstration shows that the BV variational principle with independent particles and one-body operator variational spaces leads to the TDHF equation. Note that no explicit form for was invoked, so this derivation still holds in the energy density functional approach.
Importantly, the fact that TDHF was obtained by restricting the variational space for the observables to one-body operators tells us that TDHF is only optimised to compute expectation values of one-body observables. In particular, fluctuations of one-body observables,
with are outside the variational space. Indeed, contains two-body terms of the form . This explains why TDHF underestimates the widths of fragment mass and charge distributions in deep-inelastic collisions.
8.4 Time-Dependent Random Phase Approximation
To estimate one-body fluctuations and correlations, Balian and Vénéroni used their variational principle with a larger variational space for the operators (Balian and Vénéroni 1984). Instead of (one-body), they used a variational space for operators of the form . Then the fluctuations of an operator can be computed from
using
Indeed, the term is .
How to solve the BV variational principle in this space is beyond the scope of this chapter and can be found in details in (Simenel 2012). The idea is to take small values of , which means small fluctuations of the action around the stationary path are considered. By analogy with the RPA (small fluctuation around a local static state minimising the energy), this approach is called the time-dependent RPA (TDRPA). Note that it can be also used to get correlations (in addition to fluctuations) between one-body observables.
Correlations of two (commuting) one-body operators, and , are given by
(53) |
To get the fluctuations of , just use the above formula with . It can be shown that, in TDHF, the correlations at are obtained from
(54) |
where is the identity, and and are the matrices representing the operators and .
One can also show that, in the TDRPA, this expression becomes
(55) |
where the one-body density matrices are solutions to the TDHF equation with the boundary condition
(56) |
To calculate the correlations, the state at is propagated backwards in time to the initial time , explaining why the correlations at the time of interest, , depends on the density matrices at the initial time, . Equations (54) and (55) are not equivalent. In fact, fluctuations computed from TDRPA are larger (in particular in DIC) than with TDHF, in better agreement with experiment.
To investigate fluctuations of particle number in outgoing fragments of deep-inelastic collisions, one can use
(57) |
where in the volume containing the fragment, and elsewhere. According to Eq. (56), the single-particle states (protons and/or neutrons) are transformed at as
(58) |
These transformed states are then propagated backwards in time to the initial time for various (small) values of . The succession of forward and backward propagations is illustrated in Fig. 4. To obtain the correlations (e.g., between proton and neutron numbers) and fluctuations, one then evaluates Eq. (55), which can be reduced to
(59) |
where is
(60) |
with and denoting the use of untransformed states, .

Acknowledgement
This work has been supported by the Australian Research Council under Grant No. DP190100256.
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