Issue 
A&A
Volume 507, Number 3, December I 2009



Page(s)  1243  1256  
Section  Cosmology (including clusters of galaxies)  
DOI  https://doi.org/10.1051/00046361/200912061  
Published online  08 October 2009 
A&A 507, 12431256 (2009)
A numerical code for the solution of the Kompaneets equation in cosmological context
P. Procopio^{1,2}  C. Burigana^{1,2}
1  INAF/IASFBO, Istituto di Astrofisica Spaziale e Fisica
Cosmica di Bologna,
Via Gobetti 101, 40129 Bologna, Italy
2  Dipartimento di Fisica, Università degli Studi di Ferrara,
Via Saragat 1, 44100 Ferrara, Italy
Received 13 March 2009 / Accepted 23 July 2009
Abstract
Context. After fundamental groundbased, balloonborn, and
space experiments, and, in particular, after the COBE/FIRAS results,
confirming that only very small deviations from a Planckian shape can
be present in the CMB spectrum, current and future
CMB absolute temperature experiments aim at discovering very small
distortions such as those associated with the cosmological reionization
process or that could be generated by different kinds of earlier
processes.
Aims. Interpretation of future data calls for a continuous
improvement in the theoretical modeling of CMB spectrum. In this
work we describe the fundamental approach and, in particular, the
update to recent NAG versions of a numerical code, KYPRIX, specifically
written to solve the Kompaneets equation in a cosmological context. It
was first implemented in the years 19891991 to accurately compute
the CMB spectral distortions under general assumptions.
Methods. Specifically, we describe the structure and the main
subdivisions of the code and discuss the most relevant aspects of its
technical implementation. After a presentation of the equation
formalism and of the boundary conditions added to the set of ordinary
differential equations derived from the original parabolic partial
differential equation, we provide details on the adopted space variable
(i.e. dimensionless frequency) and space discretization, on time
variables, on the output results, on the accuracy parameters, and on
the used auxiliary integration routines. The problem with introducing
the time dependence of the ratio between electron and photon
temperatures and of the radiative Compton scattering term, both of them
introducing integral terms into the Kompaneets equation, is addressed
in the specific context of the recent NAG versions. We describe the
introduction of the cosmological constant in the terms controlling the
general expansion of the Universe in agreement with the current
concordance model, of the relevant chemical abundances, and on the
ionization history, from recombination to cosmological reionization.
The global computational time, the impact of the various aspects of the
code on it, and the accuracy of the numerical integration are also
discussed.
Results. We present some of fundamental tests we carried out to
verify the accuracy, reliability, and performance of the code. We focus
on some quantitative tests of energy conservation and the time behavior
of electron temperature. A comparison of the results obtained with the
update and the original version of the code is presented for some
representative cases. Finally, we focus on some properties of the
freefree distortions relevant for the long wavelength region of the
CMB spectrum.
Conclusions. All the tests demonstrate the reliability and
versatility of the new code version and its accuracy and applicability
to the scientific analysis of current CMB spectrum data and of
much more precise measurements that will be available in the future.
The recipes and tests described in this work can also be useful for
implementing accurate numerical codes for other scientific purposes
using the same or similar numerical libraries or for verifying the
validity of different codes aimed at the same problem or similar ones.
Key words: cosmic microwave background  radiation mechanisms: general  radiative transfer  scattering  methods: numerical
1 Introduction
The CMB spectrum emerges from the thermalization redshift, , with a shape very close to Planckian, owing to the tight coupling between radiation and matter through Compton scattering and photon production/absorption processes, radiative Compton, and bremsstrahlung. These processes were extremely efficient at early times and able to reestablish a blackbody (BB) spectrum from a perturbed one on much shorter timescales than the expansion time (see e.g. Danese & de Zotti 1977). The value of (Burigana et al. 1991a) depends on the baryon density parameter, , and the Hubble constant, H_{0}, through the product (H_{0} expressed in km s^{1} Mpc^{1}).
On the other hand, physical processes occurring at redshifts may leave imprints on the CMB spectrum. Therefore, the CMB spectrum carries crucial information on physical processes occurring during early cosmic epochs (see e.g. Danese & Burigana 1994 and references therein), and the comparison between models of CMB spectral distortions and CMB absolute temperature measures can constrain the physical parameters of the considered dissipation processes (Burigana et al. 1991b).
The timescale for the achievement of
kinetic equilibrium between radiation and matter
(i.e. the relaxation time for the photon spectrum), ,
is
where is the photonelectron collision time, and are respectively the electron and the CMB radiation temperature, ; (with the electron mass) is the mean fractional change of photon energy in a scattering of cool photons off hot electrons, i.e. ; T_{0} is the present radiation temperature related to the present radiation energy density by (here , ). A primordial helium abundance of 25% in mass is assumed in these numerical estimates. It is useful to introduce the dimensionless time variable defined by
where t is the time, t_{0} is the present time, and is the expansion time, and where a=1/(1+z) is the cosmic scale factor normalized to the present time.
In particular,
by neglecting the cosmological constant (or dark energy)
contribution, we have
where is the redshift of equal non relativistic matter and photon energy densities and takes into account the contribution of relativistic neutrinos to the dynamics of the Universe^{}; here is the number of relativistic, 2component, neutrino species (for 3 species of massless neutrinos, ). While assuming , , and neglecting the radiation energy density, as possible at relatively low redshifts, we have
where s (h=H_{0}/100).
The time evolution
of the photon occupation number,
,
under the combined effect of Compton scattering
and of photon production processes, namely radiative Compton (RC)
(Gould 1984),
bremsstrahlung (B)
(Rybicki & Lightman 1979; Karzas & Latter 1961),
plus other possible photon emission/absorption contributions
(EM)^{},
is described well by
the complete Kompaneets equation
(Burigana et al. 1995; Kompaneets 1956):
This equation is coupled to the time differential equation governing the electron temperature evolution for an arbitrary radiation spectrum in the presence of Compton scattering, energy losses due to radiative Compton and bremsstrahlung, adiabatic cooling, plus possible external heating sources, ,
Here, is the Compton equilibrium electron temperature (Peyraud 1968; Zeldovich & Levich 1970), , with the radiation energy density today, and is a dimensionless, redshiftindependent frequency ( being the present frequency).
2 Setting up the problem
Partial differential linear equations are divided into three classes: elliptic, parabolic, and hyperbolic. The Kompaneets equation is a parabolic partial differential equation (Tricomi 1957). Solutions to this equation under general conditions have to be searched numerically, because it is impossible to find analytical solutions that accurately take the many kinds of cosmological scenarios and the great number of relevant physical processes into account. The numerical code KYPRIX was written to overcome the limited applicability of analytical solutions and to get a precise computation of the evolution of the photon distribution function for a wide range of cosmic epochs and for many cases of cosmological interest (Burigana et al. 1991a). KYPRIX makes use of the NAG libraries (NAG Ltd 2009).
Besides these libraries, a lot of numerical algorithms
are used in the code: we used some of the routines available
to the scientific community, but often we wrote
routines dedicated to a specific task.
Among the formers, the D03PCF
routine of the current version of the NAG release
has been used to
reduce the Kompaneets equation into a system of ordinary
differential equations
(Berzins 1990; Skeel & Berzins 1990; Dew & Walsh 1981; Berzins et al. 1989).
The D03PGF routine used in the first versions of KYPRIX
is no longer available (see also Sect. 3.2).
The two codes work adopting the same numerical framework
or, in other words, the D03PCF routine
of the current NAG release
corresponds to the D03PGF routine of the NAG release used in
the first versions of KYPRIX.
On the other hand, they come from
different technical implementations
and exibit remarkable differences in several aspects.
The main differences between the two routines,
their use, and the corresponding implications
for the code KYPRIX will be described in this work.
To use the D03PCF routine,
we have to put the Kompaneets equation in the form
where Y is the time variable and X the spatial variable. Here i=1 and , and P_{i,j},Q_{i},R_{i} depend on , the vector U is defined below. In our case, P_{i,j}=1 and m=0 (Cartesian coordinates). Note that P_{i,j},Q_{i},R_{i} do not depend on .
The variables that enter in this equation
are introduced and used in
logarithmic form
to have a good and essentially uniform accuracy of the solution
in the whole frequency range under consideration.
They are
and
.
Hereafter, we use the variables X, U, Y for
what concerns the informatic aspect of the problem,
keeping the use of the variables
for considerations directly linked to physical aspects.
The function R_{i} is determined only
by the inverse Compton term, while the other physical processes,
i.e. at least Compton scattering, bremsstrahlung,
and radiative Compton, are included in the function Q_{i}.
To reduce Eq. (7) into a system
of ordinary differential equations, the D03PCF routine uses the method
of lines: the right member
of Eq. (7) is discretized, reducing the calculation of partial
derivatives in terms of finite values of the
solution vector U on all the points of the X axis grid. Spatial
discretization is made by the method of finite
differences (Mitchell & Griffiths 1980).
The resulting system of ordinary
differential equations is solved using a
differentiation formula method.
The choice of the time parameter was driven by the need to
have a very simple form of the Kompaneets equation. Finally,
a ``temperature independent'' (time) Comptonization parameter
has been found to be particularly advantageous (Burigana et al. 1991a).
2.1 Boundary conditions
Integrating equations of the type of Eq. (7) means to calculate the time evolution of the function U(X,Y), for a given initial condition U(X,0). In fact, the problem is also called ``problem at initial conditions''. Numerically, the derivatives of U are replaced by finite differences between values of U computed on a grid of points (in X) and the differential equation is replaced by a system of more simple equations. However, in the presence of the only initial condition, this system is singular (Press et al. 1992). For this reason, resolving partial differential parabolic equations needs boundary conditions. In general, boundary conditions mean additional relations written to be joined to the system derived from the discretization to finite differences.
Therefore, a good statement of the problem needs the definition of appropriate boundary conditions. The capability of a refresh of these conditions along the integration in time leads more stability to the solution evolution because of the evolution of the radiation field. Thanks to the opportunity of having the correct value of for each time step, the update of the boundary conditions can be physically motivated (see also Sect. 3.2.6). The limits of the frequency range considered are and . Of course, we want a solution of the Kompaneets equation over all the frequency range where it is possible to measure the CMB. Also, we need to consider a frequency range wide enough to contain, in practice, all the energy density of the cosmic radiation field. The frequency range is so wide for the other two reasons described below.
During the time evolution, some spurious oscillations of the solution may appear at points close to the boundaries. These effects may be partially amplified if, for the computational reasons discussed in the following, the necessary refreshing of the electronic temperature is not made for every time step (but they could also occur independently of the need to refresh  for example for cases at constant ). Fixing the frequency integration range limits far from the interval where we are interested in computing the photon distribution function allows prevention of the ``contamination'' of these solution by possible spurious oscillations in the frequency range of interest.
We can generally assume
that a Planckian spectrum at
is formed
before recombination on a shorter timescale than the
expansion time and, in contrast, at
the shape of the spectrum is unknown.
Thus, we implemented in the code
the possibility of adopting
a particular case of Neumann boundary conditions,
i.e. the requirement that the current density, in the frequency space,
is null at the boundaries of the integration range (Chang & Cooper 1970):
This choice of boundary conditions formally satisfies the requirement of the problem when we integrate the Kompaneets equation in the case of BoseEinsteinlike distortions (with a frequency dependent chemical potential, , vanishing at very low frequencies). In fact, such distorted spectra are indistinguishable from a blackbody spectrum at sufficiently high and at low frequencies.
Of course, it is possible to make a different choice of the boundary conditions by selecting Dirichletlike conditions. In this case the photon occupation number at the boundaries of the integration interval does not change for the whole integration time. (In general cases, keeping constant conditions at the boundaries could be dangerous for the continuity of the solution. Nevertheless, this condition can work for some specific problems  typically for problems with constant ).
3 A detailed view on KYPRIX
The code KYPRIX was written to solve the Kompaneets equation in many kinds of situations. The physical processes that can be considered in KYPRIX are: Compton scattering, bremsstrahlung, radiative Compton scattering, sources of photons, energy injections without photon production, energy exchanges (heating or cooling processes) associated to at low redshifts, radiative decays of massive particles, and so on (see e.g. Danese & Burigana 1994 for some applications). This code could be easily implemented to consider other kinds of physical processes. Various kinds of initial conditions for the problem can be considered, and many of them have already been implemented in KYPRIX. The first obvious case is a pure Planckian spectrum. Several ways to model an instantaneuos heating implying deviations from the Planckian spectrum have been introduced: a pure BoseEinstein (BE) spectrum or a BE spectrum modified to become Planckian at low frequencies (this option could be exploited to integrate the Kompaneets equation with a constant and constant boundary conditions); a greybody spectrum; a superposition of blackbodies.
The data are saved in five files:
 DATI.
 This file contains the information about the specific parameters of the problem with a general description of its main aspects.
 DATIP.
 In this file we give the evolution of interesting quantities, such time, redshift, , and other quantities inherent to the physical and numerical aspects of the problem (see also Sect. 5.1).
 DATIG.
 It contains the grid of points for the X axis used by the main program (remember that we are using a dimensionless frequency), a Planckian spectrum at temperature T_{0}, and the solution vector (that is to say ) at y = 0 (starting time).
 DATIDE.
 This is the fundamental output file, which gives the solution of the Kompaneets equations at the desired cosmic epochs.
 DATIT.
 It is similar to the file DATIDE, but it contains the solution in term of brightness temperature (i.e. equivalent thermodynamic temperature; see Eq. (12) in Sect. 3.2.2).
3.1 Main subdivisions
The code is divided into several sections and, from a general point of view, is structured as described here.
 1.
 the main program, where many actions can be carried out: choice of the physical processes, choice of the cosmological parameters, initial conditions, characteristics of the numerical integration (accuracy, number of points of the grid), time interval of interest, choice of the boundary conditions, chemical abundances, ionization history;
 2.
 subroutine PDEDEF is the subprogram where the problem is numerically defined. This subroutine is also divided in subsections to allow modifications in a simple and practical way;
 3.
 subroutine BNDARY. Here the boundary conditions are numerically specified;
 4.
 Subroutines and auxiliary functions perform specific calculations.
3.2 Technical specifications and code implementation
The first version^{} of KYPRIX worked with the Mark 8 version of the NAG numerical library and were based on the routine D03PGF. The version of the NAG numerical library currently distributed is the Mark 21, so an update of the code KYPRIX is necessary to adapt it to this new package.
When KYPRIX starts running, it asks for all the input data: from the declarations of the output files' names to the integration accuracy and features. In the following sections we give a description of the various aspects of the code (and of its update), trying to give relevant hints about computational aspects of the code.
3.2.1 Grid
The frequency integration interval is divided into a grid of points (the mesh points): the larger the number of points, the smaller the adopted frequency step. We adopted an equispaced grid in X. It is possible to use a very dense grid (for example 36 001 mesh points corresponding to 36 000 frequency steps). In general, it is necessary to use at least 3001 mesh points to have an accurate enough solution.
We find a big difference between the two NAG versions, not reported in the documentation of the routine D03PCF. In the first version (D03PGF), the subroutine where the partial differential equation is defined adopted the same mesh points defined in the main program. In the Mark 21 version the calculation is carried out in a different manner: the mesh points used in the subroutine PDEDEF is shifted of half spatial step with respect to the mesh defined in the main program. In this way, the mesh points in the PDEDEF subroutine will be exactly in the middle of the steps defined in the grid of the main program. For this reason, the limits of the integration interval are not considered in the mesh points in the subroutine PDEDEF, and they are used only for the boundary conditions.
The effect of this feature implies the definition of new
parameters that play a fundamental role in
the subroutine PDEDEF.
The integral quantities in the Kompaneets equation
(necessary to define the radiative Compton
term in the kinetic equations and the electron temperature) are computed
once for any time step, inside the PDEDEF subroutine.
For this computation,
arrays of dimension equal to the number of mesh points
of the x variable as defined in the PDEDEF subroutine
are used.
Therefore, a particular care must be taken in the definition
of the dimension of the
arrays defined in KYPRIX.
Those used
in the main program have dimensions equal to the number of points of
the mesh defined in the main program. The same
dimension is given for the arrays defined for the boundary conditions.
On the other hand, the major number of arrays
are used in the PDEDEF subroutine to compute the integral
quantities. The
``inner'' grid adopted in the PDEDEF subroutine is based on mesh points in
the middle of the spatial
steps of the main program grid, so the two grids can not
work with the same point number; in fact, the arrays used in the
PDEDEF subroutine have dimension
.
Therefore, in the main program and in the subroutine BNDARY we have
to work with arrays based on the formula:
to define the correspondence between the grid of points and the X position, while we need another expression able to shift the grid in the PDEDEF subroutine by a half step and based on mesh points:
For continuity reasons, we need to define (according to the choices made in the main program) the solution vector, containing the photon initial distribution function, at the beginning of the integration also according to this grid definition. This vector is used by the PDEDEF subroutine as the initial spectrum adopted for the computation of the rates of the physical processes, and, of course, it is then renewed at every time step incrementation.
3.2.2 Output
Concerning the output files, the updated version of KYPRIX stores a new vector containing the ``inner'' X grid used by the PDEDEF subroutine, XXGR (XGR refers to the main program X grid).
In addition, we preferred to have the
possibility of performing the conversion of the solution
into equivalent thermodynamic temperatures directly
into the code and save it in a new output file (DATIT).
The conversion relation is
(we remember that in the code and ).
The fundamental reason for performing this conversion directly in the code is associated to the extreme accuracy required for the solution in the case of very small distortions, of particular interest given the FIRAS results (Fixsen et al. 1996). During the first tests, the conversion of the solution in brightness temperature was performed at the same time as the solution visualization, through the IDL visualization program. Saving the solution into files is typically performed, not for all the points of the grid, but for a reduced grid of, for example, 300 equidistant points along the original grid to avoid to store files of large size, useless for our scope, given the interest for the CMB continuous spectrum (by definition, the Kompaneets equation is not appropriate to treating recombination lines). If the considered distortions were very small, then the solution at each specific ``inner'' grid point could be affected by a numerical uncertainty that is not negligible in comparison with the very small deviations from a Planckian spectrum relevant in these cases. This numerical error is greatly reduced (becoming negligible for our purposes) by the averaging over a suitable number of grid points. Of course, the storing of the solution directly on a limited number of grid points makes this averaging no longer possible on the stored data. It is then necessary to average the solution values in intervals corresponding to the output x grid directly into the code. In many circumstances, the diagram shape derived by applying the conversion to brightness temperature only on the stored averaged solution still deviates at high frequencies from the effectively computed solution displayed by considering all the ``inner'' grid points because of the high gradients in the photon distribution function and/or in the brightness temperature that makes it difficult, or impossible, to find a general rule for the solution binning that simultaneously works properly for the two solution representations. This problem is avoided by converting the solution vector in equivalent thermodynamic temperature before the binning of its values and then applying the binning to the equivalent thermodynamic temperature. The result is then a very clean and precise brightness temperature diagram, even for very small distortions.
Other minor changes we made in the output data, where we pass from real to double precision, and in the frequency of storing results into the output files.
3.2.3 Equation formalism
A necessary update of the code was performed to adapt it
to the different formalism adopted by the new version of the NAG routine.
This regards the expression of the Kompaneets equation in the PDEDEF
subroutine.
In particular, the D03PGF routine adopted the following expression
of the partial differential equation:
where (number of partial differential equations); C_{i}, F_{i} depends on ; G_{i,j} depends on X,Y,U and U is the set of solutions values . The expression now adopted by the D03PCF routine is represented by Eq. (7).
It is simple to translate the code from the old to the new formalism.
In the case
.
In this case, we have simply that
R_{1} contains both the function G_{1} and
the vector solution derivative with respect to X according to
At this point, it is necessary to apply only the following substitutions:
With respect to this formalism, it is not difficult to adapt the various terms of the Kompaneets equation to the D03PCF routine. The terms that describe radiative Compton, bremsstrahlung, (optional) electromagnetic processes, and part of the contribution of the Compton scattering are counted in the function Q_{1}. Instead, the second derivative of the solution vector with respect to X, which represents part of the inverse Compton rate, is counted in the function R_{1}, so, according to these settings, we can write:
where stands for the contribution of the Compton scattering, the bremsstrahlung one, the radiative Compton one, and represents the contribution of the radiative decaying of particles. These terms are written in the form
=  
(17) 
and
(18) 
where and are the coefficients for the rates of bremsstrahlung and radiative Compton, respectively; and represent the Gaunt factor corrections for bremsstrahlung and radiative Compton, respectively; I_{1} is an integral quantity refreshed at every time step (see also Sect. 3.2.7).
The inverse Compton contributes to R_{1} in this way:
(19) 
Finally, we can put P_{11} = 1.
Furthermore, it is possible to add other source terms^{} in Eq. (16).
3.2.4 Boundary conditions
Also notable are the differences between the input
expressions defining the boundary conditions.
The D03PGF routine
adopted an expression of the form
where and P_{i}(Y),R_{i}(Y,U),Q_{i}(Y) are functions to be defined. A quite different notation is used to provide the boundary conditions in the D03PCF routine
where and and are functions to be defined . As a consequence of this notation, Neumann like boundary conditions can be now specified according to the expression
(22) 
where XVA is the vector related to the X position computed in A, and the dimension of both the equations corresponds to the differential equation number. Similar conditions are defined for the other extreme of the integration interval [A, B].
3.2.5 Accuracy parameters
Another considerable difference between the two library versions regards the definition of the integration accuracy parameter. D03PGF used three parameters for monitoring the local error estimate in the time direction, supplying a good versatility. RELERR and ABSERR were respectively the quantity for the relative and absolute components to be used in the error test. The third parameter, INORM, was used to define the error test. If E(i,j) is the estimated error for U_{i} (the vector solution) at the jth point of the X grid, then the error test was
 INORM
 INORM
 INORM .
This is equivalent to the error test implemented in the D03PGF routine in the case INORM = 0 and ABSERR = RELERR (= ACC).
3.2.6 Electron temperature
During the numerical integration,
some subprograms use the
distribution function calculated at that time to compute .
The integrals to be computed are those that we
find in the expression for
:
In this calculation, the integration range is obviously the integration interval considered for the problem: (that, in terms of mesh ordering, corresponds to the range between 1 and or ). All the points of the grid are used to compute these integrals. The integration is based on the NAG D01GAF routine, suitable for tabulated functions. The update value of is also used in the boundary conditions.
In the previous version of the code KYPRIX, integral quantities were computed through a specific modification of the NAG package implemented by the KYPRIX code author that allowed recovery of the whole vector solution at each time step in the subroutines (and in particular in PDEDEF), while the original package made the solution only available in PDEDEF separately at each grid point (the package originally designed for ``pure'' partial differential equation, without terms involving integrals of the solution). This modification, possible thanks to the availability of the NAG sources (and, in practice, thanks to the relative simplicity of the early library versions), permitted updating the integral quantities perfectly according to the ``implicit'' scheme adopted by the code for the integration in time. This is no longer feasible. Therefore, the update of the integral quantities must now be performed with a ``backward'' scheme, saving the solution at the previous time step in a proper vector and using it in the computation at the given time step. As is well known, ``backward'' schemes are typically less stable than implicit schemes. And, in fact, we verified in some cases the difficulty of the D03PCF routine to work implementing the update of the quantities corresponding to the integral terms in the Kompaneets equation (and in particular of ) for each time step. This was likely caused by numerical instabilities.
We then introduced a new integer control parameter into the code: STEPFI. It determines the frequency for the update of the dimensionless electron temperature , relevant, of course, in case we want to perform an integration with a variable . We have checked that updating the integral terms in the Kompaneets equation not at every time step, but after a suitable number of time steps does not affect the accuracy of the solution. This is because the time increasing in the code is performed with very small steps, while the physical variation of occurs on longer timescales^{}. See Sect. 5.2.2 for tests regarding the implications of this new implementation of the electron temperature evolution.
3.2.7 Radiative Compton
In computing of the radiative Compton term there is an integral term, I_{1}, given by the numerator of the right member of Eq. (25) (see Eq. (16) in Burigana et al. 1995), so it is necessary to harmonize its update according to the parameter STEPFI discussed in the previous subsection. In fact, a possible asynchronous update of it and could create numerical instabilities and the crash of the code run, as physically evident from the strong relevance of both radiative Compton term (at least at high redshifts) and electron temperature for the evolution of the lowfrequency region of the spectrum.
3.2.8 Integration routines
The global accuracy of the code KYPRIX depends on the accuracy of the solver for the partial differential equation, as well as on the accuracy of all the other routines dedicated to different specific computations. In this section we focus on the routines of numerical integration used in the KYPRIX. As discussed in the previous sections, the D01GAF routine has been used for tabulated functions. On the other hand, KYPRIX involves computing the integrals of various functions defined by analytical expressions, namely the parameters characterizing different types of initial conditions for the distorted spectra, such as the amount of fractional injected energy, the electron temperature, and the relationship between the different time variables entering into the code (see also Sect. 4.1). Ultimately, the better accuracy in these specific computations implies a better global accuray for KYPRIX. In the early release of the code KYPRIX, the NAG D01BDF routine was used to calculate integrals of a function over a finite interval. The same task can be carried out by the D01AJF routine. This code offers a better accuracy than D01BDF (D01AJF is in fact suitable also to integrating functions with singularities, both algebraic and logarithmic). After the routines substitution, the results show a strong increase in accuracy. In particular, this improvement offers the possibility of also investigating very small distortions that require a very precise determination of all the relevant quantities because the absolute numerical error of the integration must be much smaller than the (very small quantities) of interest in these cases. In particular, the quantity (where is the actual density energy and the energy density corresponding to the unperturbed distribution function just before the energy injection) must be constant during all the integration process in the absence of energy injection terms, according to the energy conservation. The increase in precision on the computation of this quantity was noteworthy, now always keeping inside a few percent of the physical value (and its possible physical variation; see Sect. 5.1) of the same quantity independently of the magnitude of the considered distortion, at the same time allowing an accurate check of the global accuracy of the code, improved thanks to better computation of all the integral terms appearing in the Kompaneets equation. The remarkable improvement in energy conservation, even in the case of very small distortions, is an important feature of the new version of KYPRIX that makes is applicable to a wider set of cases.
4 New physical options
4.1 Cosmological constant
About ten years ago, the relevance of the cosmological constant term (or of dark energy contribution) was probed by a wide set of astronomical observations of type Ia supernovae (Riess et al. 1998; Perlmutter et al. 1999). We then updated the numerical integration code KYPRIX to include the cosmological constant in the terms controlling the general expansion of the Universe. In particular the input background cosmological parameters considered in the code are now , i.e. the present CMB temperature, the contribution of massless neutrinos, the Hubble constant, the (non relativistic) matter and baryon energy density, the energy densities corresponding to cosmological constant and curvature terms.
To compute the proper cosmic evolution of the various terms,
a scale factor parameter
(increasing with time)
(Silk & Stebbins 1983),
defined by
has been adopted (here K, and the index 1 refers to a particular epoch, when the CMB energy density was equal to the electron mass^{}: ). To write a suitable expression for its time evolution we have to introduce two new key parameters
which is the initial ratio between matter energy density and radiation energy density, and
defined as a initial gravitational time scale. The quantities with the index 1 refer to the epoch when a = a_{1}, with the index 0 when t = t_{0} (today); and are related to and by
respectively.
Now we can define an equation for the evolution of :
where we have included the contribution of massless relativistic neutrinos in the term (see also footnote 1. The term should be properly evaluated considering also possible energy injections after neutrino decoupling). After some calculations, we can finally write the completed and updated expression of :
where .
The equation for
has to be inserted in the expression
giving
,
which is inside the integral used to compute the time variable
because we set
y=0 when the integration starts at
(or equivalently at
).
Finally, the
expression for the time evolution of
and y
are related by the variable change:
where ( )).
Implementation of the cosmological constant and curvature terms makes the code KYPRIX suitable to being applied to interesting cases at late ages, including cosmic epochs at z < 1 when supplies the greatest contribution to the expansion rate of the Universe. Remarkable examples are spectral distortions associated to the reionization of the Universe, which starts at relatively low redshifts ( ) in typical astrophysical scenarios. For the sake of completeness, a few words are needed about the computation of the time evolution in the code. The subroutine called WDIY0 is the core of the time evolution in KYPRIX: it computes the value of given a value of y. This process takes advantage of the definition of y as the integral of dy and, of course, it happens at each time step. To do this, we make use of a double precision version of the function ZBRENT, from ``Numerical Recipes'' (Press et al. 1992).
4.2 Chemical abundances
In this new version of the code, it is possible to choose the primordial
abundances of H and He. We have consistently computed
the electron number density,
,
involved in the different physical processes.
In the previous implementation, it was assumed a fixed abundance of H
and He (and full ionization).
The electron number density was then given by
(33) 
where is the baryon density and the mean mass of a baryon. Now, denoting by the fraction in mass of primordial H and considering that , we have
(34) 
This obviously affects the physical processes involved in the code. Compton scattering, radiative Compton, and bremsstrahlung depend linearly^{} on .
4.3 Ionization history
In the past years, CMB observations are achieving a very high accuracy, in particular regarding the angular power spectrum of temperature anisotropies, but also for that of E mode polarization and crosscorrelation (see e.g. Nolta et al. 2009). A detailed understanding of the cosmological reionization process is crucial for precisely modeling the power spectrum of CMB anisotropies in comparison with current data, while a better treatment of recombination is very relevant in view of the data expected by the forthcoming ESA Planck satellite^{} (The Planck Collaboration 2006).
Accurate modeling of the ionization history is also crucial for precisely computing of CMB spectral distortions in view of the comparison with data from a future generation of highsensitivity experiments. We then included these aspects in the current implementation of KYPRIX. In particular, the fraction of each state of ionization of the relevant elements (H and He) has been implemented.
The effects of this implementation is negligible^{} in practice for the radiative Compton, because this process is important at high redshifts when the medium is fully ionized. Instead, Compton scattering and bremsstrahlung rates are significantly influenced by this implementation. Once introduced, the electron ionization fraction in the code, , which gives the number of electrons that takes part in the physical processes, we can choose different ways the active fractions of elements can play their roles in the phenomena.
Given , from the charge conservation law, we have a constraint on the number of the free ions in the considered plasma. The simplest way to account for them in the code is to assume an equal fraction of ionization for H and He. Of course, this is a toy model, but this parametrization was very useful for testing the code.
A somewhat more accurate treatment of the physics of
reionization/recombination processes
implemented in the code is based on the Saha equation:
(35) 
where n_{i} is the density of atoms in the ith state of ionization, the electron density, g_{i} the degeneracy of states for the iions, the energy required to remove i electrons from a neutral atom, and the thermal de Broglie wavelength of an electron, defined by
(36) 
Providing the electron ionization fraction defined as^{}
(37) 
we can compute the unknowns , defined as the relative abundances of the different ionization states of each element with respect to the global number density of the element. The Saha equation provides the ratio between two state of ionization of a single specie, once given the electron density and the temperature:
To recover all the unknowns we need other relations. These additional conditions are provided by the charge conservation and the nuclei conservation. From charge conservation it is possible to recover the contribution of the electrons related to a single specie to the total number of free electrons. The latter is of course related to the ionization fraction of all the involved species and can be written as:
where is the fraction of primordial H described in the previous section. In Eq. (39) it is possible to identify the number of electrons coming from H and from He.
The nuclei conservation law separately for H and He
is expressed by
(40) 
(41) 
Providing the electron ionization fraction and the temperature, it is possible to build two separate systems (one for H and one for He) in order to recover the considered ionization fractions. The code can ingest a table with the desired evolution of and, as needed for a physical modeling of cosmological reionization, of the electron temperature.
The best way to perform the exact calculation of the rates of considered processes in scenarios involving reionization/recombination uses a corunning code, coupled to KYPRIX, able to supply the ionization fraction for all the species. For the recombination process, we developed an interface that allows the code to call an external program, in our case RECFAST (Seager et al. 1999), and run it with the same cosmological parameters selected for KYPRIX. Then KYPRIX will read the output table from RECFAST and use the ionization fractions for the calculation of the rates of the processes, allowing a more detailed estimation of the spectral distortion arising during the recombination process (Wong et al. 2008). If we are interested in standard recombination, we adopt the equilibrium electron temperature (Eq. (25)). A consistent modeling of a modified recombination should provide the evolution of both electron temperature and ionization fractions (at least ).
5 Tests on code performance, reliability, and accuracy
Once terminated the updating of the numeric integration code, we carried out many accuracy and performance tests. Obviously, we checked the physical meaning of the numerical solutions provided by the code comparing them with the existing analytical solutions that in some cases can be considered as good approximations of exact solutions. In general, a code of good quality must have high numerical precision compared to the knowledge, both theoretical and observational, of the problem. Various routines, mainly from the NAG package, but also from the ``Numerical Recipes'' (Press et al. 1992) package, we used for several specific computations. Since different routines can solve the same mathematical problems using different numerical methods and/or implementations with different settings and input parameters, we verified that the adopted routines allow the appropriate accuracy and efficiency. In the following we report on some specific quality tests of the numerical solutions. We comment now briefly on the code computational time.
To evaluate the global CPU time of the code, we performed many runs with very different settings. These times we carried out testing the code on a machine with 4 Alpha CPUs, but effectively using only one CPU (now we are running the code on IBM Power5 Processors). The code's global CPU time ranges from a few minutes, for cases in which the integration starts at low redshifts, to about 5 h for some cases starting at very high redshifts ( ). There are many variables that play a role in determining the global CPU time. The complete Kompaneets equation in fact involves several terms. In the code KYPRIX we can select the physical processes to be considered in the numerical integration, and the global CPU time increases with the number of activated processes.
Of course, the global CPU time depends on the parameters related to the numerical integration characteristics. The number of points adopted for the X grid (see Sect. 3.2.1) has a strong influence on the global CPU time. Clearly, the integration accuracy improves with NPTS, and in many cases it must be set to a very high value. We find that the global CPU time is approximately proportional to NPTS ( ).
The parameter that plays the most relevant role in determining the global CPU time is the accuracy required for the time integration. The final solution precision depends on the value of the corresponding parameter ACC. Only for very high accuracy (ACC ) does the CPU time reach the duration of some hours while keeping ACC the integration is carried out in a few minutes. The limits imposed by CMB spectrum observations drive us to investigate the small distortions in particular. It is then necessary to work with low values of ACC (in general, 10^{8}).
After assessing of the better choice for using of the parameters of the various numerical routines and the definition of the accuracy of the integration in time, we carried out several tests to verify the physical validity of the code results.
5.1 Energy conservation
In the code output file DATIP, we stored values of several parameters of
interest.
Two of them provided very useful information on the
goodness of the numerical integration.
The first one is the ratio,
,
between the radiation energy density at each time and the energy density
corresponding to the unperturbed distribution function before
the distortion^{}
in the absence of dissipation processes. The exact energy conservation
is represented by the constance of this ratio during the integration.
To quantify the accuracy supplied by KYPRIX,
the values of
we stored
at the start of the integration and at many times thereafter.
In order to estimate the precision of the energy conservation,
we define the quantity:
which gives the relative induced error in the energy conservation with respect to the initial value of or, more formally, the relative error induced by numerical uncertainty on the amount of fractional injected energy. Typical results obtained starting from a superposition of blackbodies are reported in Fig. 1.
Figure 1: Error in the energy conservation expressed in terms of relative (%) deviation from its input value of the quantity . The accuracy of the integration in time is set to ACC =10^{12}(see also the text for further details on computation). Solid, dotdashed, and dashed lines refer to an energy injection occurred respectively at , 0.25, 0.01. Obviously, this error further decreases improving the accuracy parameter adopted in the numerical integration. 

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Since the same absolute numerical integration error corresponds to a larger relative error for a smaller distortion, i.e. for smaller in these models, we could in principle expect a relative degradation of the energy conservation for decreasing distortion amplitudes. Our tests in fact indicate an increase in the relative degradation of the energy conservation for decreasing distortions when the same accuracy parameters are adopted. On the other hand, one can select them according the specific problem. For example, considering an energy injection of occurred at , an accuracy equal to is fully satisfactory for a very precise calculation of the photon distribution function; while for earlier processes, such as for , and for the same injected fractional energy, the accuracy parameter needs to be set to to assure a calculation with less than 1%. We find that for suitable choices of the integration accuracy parameters, can always be kept below without requiring too a long computational time. Finally, we note that in some circumstances the scheme for the electron temperature evolution in the new version of KYPRIX (backward differences), different from that used in the original one (implicit scheme), could imply some small discontinuities in the evolution of the electron temperature and of . On the other hand, we have verified that this does not affect the accuracy of the solution, because of the very small amplitude of these discontinuities (together with their localization to a very limited number of time steps) and of the corresponding energy conservation violation.
5.2 Comparative tests
5.2.1 Comparing solutions
The first kind of test is a simple comparison between the results obtained with the updated version of KYPRIX and those obtained with the original version for the same set of input parameters.
To do this, we have considered some interesting cases carried out in the past. In particular we used the input parameters adopted in (Burigana et al. 1995) where semianalytical descriptions of the numerical solutions of the Kompaneets equation were also reported. We report here cases characterized by a specific amount of exchanged fractional energy . We started the integration from a redshift corresponding to in one case and to in another. The input cosmological parameters are K. The results given by the update version of KYPRIX are fully consistent with those reported in Burigana et al. (1995) (see Fig. 2 and note the excellent agreement between the results of the two codes). Moreover, since that paper also provided a seminalytical description of the solution of the Kompaneets equation, it is clear that the good agreement of the numerical results obtained with the original and update code represents further confirmation of the validity of the analytical description.
Figure 2: Comparison between the present time solution for the CMB spectrum obtained from the old version of the numerical code ( top panel; adapted from panel a of Fig. 1 in Burigana et al. 1995) and the current one ( bottom panel). See the text for further details on computation parameters. Dashed (dotdashed) line refers to an energy injection occurred at ( ). In the case of the old version of the code we report also the analytical approximation (dotted line) described by a Comptonization spectrum plus a freefree distortion (see Eq. 50). 

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5.2.2 Electron temperature behavior
While the energy exchange between matter and radiation
is led by Compton scattering
(in the absence of external energy dissipation processes),
electrons reach the equilibrium Compton temperature
(Peyraud 1968; Zeldovich & Levich 1970),
,
in a shorter time than the expansion time. For
,
(late heating processes) Compton scattering is no longer able to
significantly modify
the shape of the perturbed spectrum, and the final electronic
temperature
(remember
that
)
immediately after the decoupling is very close
to
.
On the other hand, for energy injections at redshifts corresponding
to
,
Compton scattering can establish kinetic equilibrium between
matter and radiation. This
corresponds to a BoseEinstein spectrum,
with a final electron temperature given by
(Danese & de Zotti 1977; Sunyaev & Zeldovich 1970)
where 1) is the usual dimensionless chemical potential. Moreover, in this case the evolution of the chemical potential, , the relation between it and the amount of fractional energy injected, , depends on the energy injection epoch.
For the intermediate energy injection epochs, corresponding to
,
the final value of
(a function depending on )
is between the values of
and
,
because the Compton
scattering works to produce a BoseEinstein like spectrum
anyway (Burigana et al. 1991a).
At these epochs the relation between the chemical potential and the amount of
fractional injected energy injected is simply given by
(Danese & de Zotti 1977; Sunyaev & Zeldovich 1970):
By exploiting the numerical results, a simple formula for can be found (Burigana et al. 1995):
here k=0.146 is a constant derived from the fit. Moreover, this expression represents an accurate description of the evolution of for any value of . In fact, for a value of y ( ) they find
In these cases, as in many situations of interest, the perturbed spectrum of the radiation (immediately after the heating process) is described by a superposition of blackbodies and the equilibrium temperature is given by (Burigana et al. 1995; Zeldovich & Sunyaev 1969; Zeldovich et al. 1972)
where and the Comptonization parameter u could be related to the amount of fractional energy exchanged by (Burigana et al. 1995; Zeldovich & Sunyaev 1969; Zeldovich et al. 1972):
Equations (45) and (46) can be used to test the behavior of the electron temperature during the numerical integration of the Kompaneets equation carried out with the new code version. With the increase in the time variable, the values of are saved into the file DATIP, from the initial time step to the final one. The upper panel of Fig. 3 shows the two behaviors of (the numerical one and the analytical expression given by Eqs. (45) and (46)), while the bottom panel displays their relative difference.
Figure 3: Top panel: evolution of as derived from the numerical code. The parameters adopted for the computation are the same as in Fig. 1, as well as the adopted kinds of lines. We also report for comparison the analytical results obtained from Eq. (45) (thin solid lines). Bottom panel: relative differences between the analytical results and the numerical results expressed in terms of . In absolute value they are at each time. The lines are the same as in Fig. 1, but a solid line is replaced by dots when the above relative difference is negative. 

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This test is of particular importance for checking the validity of the results because of the crucial role of in the Kompaneets equation. As remembered in the previous section, in the new version of the code a different scheme is used than implemented in the original version. Verifying of the very good agreement of these behaviors of further supports the equivalence of the two code versions and their reliability. In particular, it confirms that the new adopted numerical scheme for the evolution of , in principle less stable than the implicit scheme implemented in the code original version, does not affect the validity of the solution.
5.3 Freefree distortion
As already discussed in Sunyaev & Zeldovich (1970),
accurate measures of the CMB spectrum
in the RayleighJeans region could provide quantitative informations about the
thermal
history of the Universe at primordial cosmic epochs.
On the other hand, photon production processes (mainly radiative Compton at earlier
epochs and
bremsstrahlung at later epochs) work to reduce the CMB spectrum depression at long
wavelengths (see Danese & de Zotti 1980)
since they try to establish a true (Planckian) equilibrium.
For
(Burigana et al. 1991a; Danese & de Zotti 1980) with
lowfrequency photons are absorbed before Compton scattering moves them to higher frequencies.
In the case of small and late distortions (
), a
good approximation of the
whole spectrum is given by (Burigana et al. 1995)
where the index i denotes the initial value of the corresponding quantity and u is the Comptonization parameter. This expression provides also an exhaustive description of continuum spectral distortion generated in various scenarios of (standard or late) recombination or associated to the cosmological reionization. For an initial blackbody spectrum at dimensionless frequencies , the above equation can be simplified to (Burigana et al. 1995)
(51) 
Here, , an optical depth of the Universe for bremsstrahlung absorption (radiative Compton can be neglected at late epochs), is analogous to the Comptonization parameter, and it is given by
where is the frequency at which (de Zotti 1986; Zeldovich et al. 1972). The dependence of the Gaunt factor (Rybicki & Lightman 1979; Karzas & Latter 1961; Burigana et al. 1991a) on x and at very long wavelengths is weak: .
In terms of brightness temperature, the distortions at low frequencies
(at any redshift) can be written as
where . This approximation holds at low frequencies but not at too low frequencies, where the brightness temperature obviously approaches the electron temperature because of the extremely high efficiency of bremsstrahlung, still able to generate a Planckian spectrum at electron temperature.
To show that our numerical solution follows the behavior
described by the above equation, we can compute
from the brightness temperature derived from the numerical solution:
The reported numerical result (see Fig. 4) refers to a heating process corresponding to a full reionization starting at with K, producing a final Comptonization parameter compatible with FIRAS upper limits. As shown in Fig. 4, approaches an almost constant value at low frequencies. This is only correct for cm, while at higher frequencies is no longer almost constant (see again Fig. 4) because of the dependence of the Gaunt factor on x and as expressed in the definition of . We can also write an expression describing the brightness temperature through a constant parameter , derived from Eq. (54) (see Fig. 4) averaged over the range at very long frequencies before the declining shown in Fig. 4, to verify the accuracy of the below expression
in comparison with the numerical results. Where the Gaunt factor dependence on x and produces a significantly varying (see Fig. 4), the Comptonization decrement is more relevant than the freefree excess in determining the brightness temperature, as is evident from the good agreement of the two curves in Fig. 4. Clearly, the brightness temperature derived in this way works only up to frequencies (100 GHz) approaching where the excess in the brightness temperature produced by the Comptonization begins (at 220 GHz, see Fig. 4).
The use of in Eq. (55) implies a slight excess ( ) with respect to the accurate numerical results since decreases with the frequency (see Fig. 4). In this representative test, the excess is 0.1 mK, but obviously its value depends on the amplitude of freefree distortion (other than on the frequency). This error is clearly negligible for analysis of current data (see e.g. Salvaterra & Burigana 2000; Zannoni et al. 2008; Salvaterra & Burigana 2002; Singal et al. 2009). It is likely not so relevant for analyzing future measures at cm with accuracy comparable to what is proposed for DIMES (Kogut 1996; Burigana & Salvaterra 2003). On the contrary, it could be relevant for a very accurate analysis of future measures with precision comparable to what is proposed for FIRAS II cm (Fixsen & Mather 2002; Mather 2009; Burigana et al. 2004) or conceived for possible future long wavelength experiments from the Moon^{}^{,}^{} (Burigana et al. 2007). This calls for a complete frequency and thermal historydependent treatment of the freefree distortion in the accurate analysis of future data of extreme accuracy.
Figure 4: Top panel: as derived from Eq. (54). Bottom panel: comparison between the numerical (long dashes) solution and the analytical approximation represented by Eq. (55). See the text for further details. 

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6 Discussion and conclusion
We have described the fundamental numerical approach and, in particular, the recent update to recent NAG versions of a numerical code, KYPRIX, specifically written to solve the Kompaneets equation in a cosmological context, aimed at very accurate computation of the CMB spectral distortions under quite general assumptions. The recipes and tests described in this work can be useful for implementing accurate numerical codes for other scientific purposes using the same or similar numerical libraries or for verifying the validity of different codes aimed at the same or similar problems.
Specifically, we discussed the main subdivisions of the code and the most relevant aspects about technical specifications and code implementation. After presenting the equation formalism and the boundary conditions added to the set of ordinary differential equations derived from the original parabolic partial differential equation, we gave details on the adopted space (i.e. dimensionless frequency) grid, on the output results, on the accuracy parameters, and on the integration routines. The time dependence of the ratio between electron and photon temperatures and of the radiative Compton scattering term, both introducing integral terms into the Kompaneets equation, was addressed in the specific context of the recent NAG versions by discussing the solution adopted to solve the various related technical problems.
Some of the tests carried out to verify the reliability, accuracy, and performance of the code are presented. We compared the results of the update version of the code with those obtained with the original one, reporting some representative cases, and we find an excellent agreement.
Some specific quantitative tests we reported. They indicate very good accuracy in energy conservation: for appropriate choices of the code accuracy parameters, the fractional injected energy is conserved within an accuracy better than 0.05%, or, in other words, possible energy conservation violations are negligible in practice for theoretical predictions and for comparison with current and future data. The time behavior of the electron temperature is in excellent agreement with the results obtained with the original code version, in spite of the different schemes adopted to update the evolving electron temperature. These are important verifications that probe that the current implementation of the code KYPRIX circumvents the problem represented by the lost possibility of internally adapting the solver of partial differential equation to make it directly able to include integrals of the solution vector exactly at the current time step. Also, setting the accuracy parameters of the solver is now less flexible. Of course, these features imply a certain increased complexity in the code implementation, use, and in settings of code parameters. In spite of these difficulties, and thanks to better treatment of various computational steps involving integrals of functions over finite intervals, the new version of KYPRIX achieves good accuracy even in treating very small distortions.
We also described the introduction of the cosmological constant in the terms controlling the general expansion of the Universe in agreement with the current concordance model, of the relevant chemical abundances, and on the ionization history, from recombination to cosmological reionization. While an extensive discussion of various possible applications of these new features of the code, the object of future work, is not within the scope of this paper, we report here a few representative examples.
Figure 5: Final (i.e. at z=1090) distorted spectra for different treatments of the recombination process. We assume as initial condition a Comptonization spectrum at z=10^{4} characterized by . Top panel: initial condition (dashes), final spectrum in the case of instantaneous recombination at z=1090following the fully ionized phase (three dotsdashes), final spectrum in the case of gradual, more realistic modelizations of the recombination process (the two different treatments give results indistinguishable in these plots). Bottom panel: difference between the final solution found in the case of instantaneous recombination and of gradual, more modelizations. See the text for further details. 

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In Fig. 5 we show the effect of different treatments of the computation of the hydrogen and helium ionization fractions during the recombination epoch in the case of a relatively late spectral distortion. We exploited three different treatments of the recombination history: an instantaneous recombination following the fully ionized phase and two gradual, more realistic modelizations of the recombination process characterized by different evolutions of ionization fractions. In one of these two cases, only the evolution of the electron ionization fraction, , was taken from the code RECFAST, while the H and He ionization fractions were computed solving the system of Saha equations; in the other case we directly use the complete output of the code RECFAST (see Sect. 4.3 and the caption of Fig. 5 for more details). The results in these two cases are identical in practice, while the assumption of full ionization up to z=1090 in the instantaneous recombination case produces a certain overestimate (10%) of the long wavelength excess due to (essentially freefree) photon production, as well as a small amplification (1%) of the relaxation of the initial Comptonization spectrum towards a BoseEinstein like spectrum (obviously ineffecient, at the considered redshifts). With the adopted numerical accuracy (ACC = 10^{12}) and grid points ( ), the required CPU time on the chosen IBM platform is about 40 min, with less than 20% differences between the three different cases.
Figure 6: Distorted spectra predicted for the considered reionization models: initial blackbody spectrum (dots) at z=20, almost corresponding to the beginning of the heating phase in the model, final (at z=0) spectrum in the case of constant (=147) (dashes), and for the realistic implementation of the ionization and thermal history in the suppression model (solid line). See the text for further details. 

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Figure 6 reports the results derived for a particular astrophysical scenario of cosmological reionization. We adopt here the evolution of the electron ionization fraction (the H and He ionization fractions were then computed to solve the system of Saha equations) and of electron temperature predicted in the suppression model presented in Schneider et al. (2008) and Burigana et al. (2008), which implies a Thomson optical depth, , almost in agreement with recent WMAP data. (For consistency, we adopt in these computations the same cosmological parameters used in the quoted works.) For comparison, we exploited a simple case with full ionization and a constant ratio, , between the electron temperature and the radiation temperature that is chosen to have the same amount of energy injected into the plasma ( ) obtained in the above realistic model. As expected by construction, the two very different histories produce the same high frequency (Comptonization like) distortion, but the long wavelength region is very different because of the contribution of freefree emission^{}. The difference in this term in the two cases is mainly characterized by the evolution of the product and by the freefree being more efficient at higher redshifts in the simple case than in the realistic one (see the caption of Fig. 6 for more details). With the adopted numerical accuracy (ACC = 10^{12}) and grid points ( ), the required CPU time on this IBM platform is a few hours for the realistic model and about one hour in the simple model with a constant .
Finally, we focused on some properties of the freefree distortions, relevant for the long wavelength region of the CMB spectrum, by checking that the new code version, such as the original one, very accurately recovers the existing analytical approximations in their limit of validity. We also discussed the relevance of accurate computations able to improve the simple treatment based on the approximation with a frequency independent, freefree distortion parameter.
All the tests demonstrate the reliability and versatility of the new code version and its very good accuracy and applicability to scientific analysis of current CMB spectrum data and of those data, much more precise, that will be available in the future.
AcknowledgementsIt is a pleasure to thank L. Danese, G. De Zotti, R. Salvaterra, and A. Zizzo for useful discussions and collaborations. Some of the calculations presented here were carried out on an alpha digital unix machine at the IFP/CNR in Milano and at the IBM SP5/512 machine at CINECABologna by using some NAG integration codes. We warmly thank M. Genghini and C. Gheller for their kind assistance and technical support related to the machines used. We acknowledge the use of the code RECFAST. We acknowledge the support by the ASI contract I/016/07/0 ``COFIS''. We thank the anonymous referee for constructive comments.
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Footnotes
 ... Universe^{}
 Strictly speaking the present ratio of neutrino to photon energy densities, hence the value of , is itself a function of the amount of energy dissipated. The effect, however, is never very strong and is negligible for very small distortions.
 ... (EM)^{}
 A process that should be included is the cyclotron emission. On the other hand, for realistic values of cosmic magnetic field, the cyclotron process never plays an important role for (global) CMB spectral distortions when ordinary and stimulated emission and absorption are properly taken into account and CMB realistic distorted spectra are considered (Zizzo & Burigana 2005). In fact, the cyclotron term may be significant in the case of deviations of from the BB distribution at the electron temperature, only at very long wavelengths, corresponding to the cyclotron frequency, where, during the formation of a spectral distortion, FF and RC are able to keep extremely close to the BB equilibrium.
 ... version^{}
 Written in 1989 by C. Burigana.
 ... terms^{}
 For example, an already implemented subroutine models a term, called here, to be added in Eq. (16), which acconts for contributions of possible radiative decays of massive particles in the primordial Universe.
 ... timescales^{}
 Of course, for physical processes with a stronger variation in the electron temperature, the accuracy parameter (see previous subsection) should be good enough to force the code to adopt sufficiently small time steps.
 ... mass^{}
 The parameter is analogous to the scale factor a, but normalized at the epoch in which a=a_{1}, that is to say when .
 ... linearly^{}
 For bremsstrahlung, the dependence on the densities of nuclei is now explicit.
 ... satellite^{}
 http://www.rssd.esa.int/planck
 ... negligible^{}
 For example, for and we find that, for both BE and Comptonization like distortions, the rate of radiative Compton is less than 1/1000 of the rate of bremsstrahlung at each frequency of the grid.
 ... as^{}
 It is common to find normalized to the H number density in the literature. Obviously, the code can switch between the two conventions.
 ... distortion^{}
 For example, for a BoseEinstein distorted spectrum with a dimensionless chemical potential produced by an energy dissipation with negligible photon production (see e.g. Sunyaev & Zeldovich (1970); Danese & de Zotti (1977) and also Eqs. (8) and (9) in Burigana et al. (1991a) for the definition of and for arbitrary values of ; for , and ).
 ... Moon^{}
 http://www.lnf.infn.it/conference/moon07/Program.html
 ...^{}
 http://sci.esa.int/sciencee/www/object/index.cfm?fobjectid=40925
 ... emission^{}
 In both cases, the density contrast in the intergalactic medium associated to the formation of cosmic structures has been not included. The excess at low frequencies due to the freefree distortion should be then considered as lower limit in both cases, since the computation has been performed in the ``averaged density'' approximation. Therefore, a correction factor , coming from a proper inclusion of the treatment of density contrast in the intergalactic medium, should be applied to the freefree term.
All Figures
Figure 1: Error in the energy conservation expressed in terms of relative (%) deviation from its input value of the quantity . The accuracy of the integration in time is set to ACC =10^{12}(see also the text for further details on computation). Solid, dotdashed, and dashed lines refer to an energy injection occurred respectively at , 0.25, 0.01. Obviously, this error further decreases improving the accuracy parameter adopted in the numerical integration. 

Open with DEXTER  
In the text 
Figure 2: Comparison between the present time solution for the CMB spectrum obtained from the old version of the numerical code ( top panel; adapted from panel a of Fig. 1 in Burigana et al. 1995) and the current one ( bottom panel). See the text for further details on computation parameters. Dashed (dotdashed) line refers to an energy injection occurred at ( ). In the case of the old version of the code we report also the analytical approximation (dotted line) described by a Comptonization spectrum plus a freefree distortion (see Eq. 50). 

Open with DEXTER  
In the text 
Figure 3: Top panel: evolution of as derived from the numerical code. The parameters adopted for the computation are the same as in Fig. 1, as well as the adopted kinds of lines. We also report for comparison the analytical results obtained from Eq. (45) (thin solid lines). Bottom panel: relative differences between the analytical results and the numerical results expressed in terms of . In absolute value they are at each time. The lines are the same as in Fig. 1, but a solid line is replaced by dots when the above relative difference is negative. 

Open with DEXTER  
In the text 
Figure 4: Top panel: as derived from Eq. (54). Bottom panel: comparison between the numerical (long dashes) solution and the analytical approximation represented by Eq. (55). See the text for further details. 

Open with DEXTER  
In the text 
Figure 5: Final (i.e. at z=1090) distorted spectra for different treatments of the recombination process. We assume as initial condition a Comptonization spectrum at z=10^{4} characterized by . Top panel: initial condition (dashes), final spectrum in the case of instantaneous recombination at z=1090following the fully ionized phase (three dotsdashes), final spectrum in the case of gradual, more realistic modelizations of the recombination process (the two different treatments give results indistinguishable in these plots). Bottom panel: difference between the final solution found in the case of instantaneous recombination and of gradual, more modelizations. See the text for further details. 

Open with DEXTER  
In the text 
Figure 6: Distorted spectra predicted for the considered reionization models: initial blackbody spectrum (dots) at z=20, almost corresponding to the beginning of the heating phase in the model, final (at z=0) spectrum in the case of constant (=147) (dashes), and for the realistic implementation of the ionization and thermal history in the suppression model (solid line). See the text for further details. 

Open with DEXTER  
In the text 
Copyright ESO 2009
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