Proceedings of the Particle Physics and Early Universe Conference (PPEUC).
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2 Generation of simulated maps  

In this section we briefly present the basic issues for generating high resolution full sky maps which include CMB fluctuations and the Galaxy emission.

2.1 Generation of the CMB fluctuation maps 

The CMB anisotropy is usually written as (Bond & Efstathiou (1987), White et al (1994)):

 

where are the spherical harmonics:

 

We note that in the above equations all the dependence on is in the Legendre polynomials, while all the dependence on is in the exponential factor. Provided that the anisotropies are a Gaussian random field, the coefficients are randomly distributed variables with zero mean and variance given by the , namely where is the angular power spectrum obtained from a given cosmological model. The Legendre polynomials can be evaluated by the standard recurrence relations (see Press et al. (1987)). These relations in some cases are inadequate to evaluate the , especially at high values of , and we have worked with a slightly modified set of polynomials, , and the corresponding recurrence relations, related to the Legendre polynomials by:

 

In addition, the reality of the temperature anisotropies imposes the condition:

 

taking into account that , it results .

With this condition, we have that:

 

and therefore:

 

We have chosen to neglect here the cosmological dipole term, , which is dominated by the Doppler effect due to the relative motion of the earth respect to the CMB.

In equation 6 only the polynomials depends on , while all the dependence on is in the square bracket part. This particular feature makes the choice of the pixelization (i.e. the set of where to calculate ) a crucial parameter for the computational cost of the simulation. Namely, if one is not particularly interested in having an equal--area pixelization, the best choice is a pixelization in which the is the same for all ; in this way it is possible to evaluate the and once for all and memorise them at the beginning, so diminishing the computational time by a factor 10. In addition it allows one to use FFT techniques to generate a full sky map and this further reduces the required amount of computation (see for example Muciaccia et al. (1997)). We have chosen to keep a general routine with no particular assumption on the pixelization but two simple symmetry properties: if , then also ; if then also . The symmetry property for is useful because of the parity in of the polynomials . This property, together with the trigonometric properties of sines and cosines, allow us to divide by four the computational time because the temperature anisotropy can be computed in four points of the sky at the same time. The ``standard'' COBE-CUBE pixelization satisfies these conditions and we have used that for our beam tests. It offers the advantage of good equal-area conditions, hierarchic and that Galaxy maps and software are presently available for that pixelization scheme (for an improved scheme see Gorski et al. (1997)).

From a simulated map we can compute the correlation function :

 

where .

Directly from the , and the corresponding , used for generating a given map we can have the correlation function defined by:

 

We have generated maps at COBE-CUBE resolution 9, 10 and 11 (i.e. with typical distances between two pixels of about , , respectively) and with up to 1200 and we have verified the goodness of the maps obtained with our code by comparing the correlation functions obtained from the two above equations, in order avoid the ambiguity due to the cosmic variance. In addition we have checked that the average of the correlation functions obtained by few tens of maps tends to that obtained from the equation 7 when the theoretical prescription for the is used.

2.2 Galactic Emission 

In the spectral range of interest here, the Galaxy emission is mainly due to three different physical mechanisms: synchrotron emission from cosmic rays electrons accelerated into galactic magnetic fields, free--free or thermal bremsstrahlung emission and dust emission.

Both synchrotron and free--free spectral shape can be described, in terms of antenna temperature, by simple power laws, , with spectral indices: and . While free--free emission is a well known mechanisms and has relatively small uncertainties, the synchrotron emission is still rather unknown and it seems that a steeping of the spectral index will occur at higher frequencies, as expected from the theory. It is also expected a spatial variation of due to its dependence upon electrons energy density and galactic magnetic field which change in the Galaxy (Lawson et al. (1987), Banday & Wolfendale (1990), Banday & Wolfendale (1991), Kogut et al. (1996), Platania et al. (1997)).

Dust emission spectral shape can be described by a simple modified blackbody law where is the emissivity and is the brightness of a blackbody of temperature . Recent works, based upon COBE- DMR and DIRBE data (Kogut et al. (1996)), give values of and , but also a model with two dust temperatures is possible.

 
Figure 1:  Schematic representation of the three different components of Galaxy emission compared to the CMB emission and its typical fluctuations in terms of antenna temperature (in mK).

Figure 1 shows a schematic representation of these spectral shapes.

In order to build up a realistic model of galactic emission we have to know both spatial and spectral behaviour of the three emission mechanisms. The best situation would be when we have measurements of galactic emission in those spectral regions where only one of these emission mechanisms is dominant. From Figure 1 it is clear that this is possible only for synchrotron emission (at very low frequencies) and for dust emission (at very high frequencies). For free--free emission is more complicated to derive detailed informations, because does not exist a spectral region where it is the dominant component of the signal. At the moment, our model does not yet include free--free emission in our Galaxy. We use a synchrotron spectral index constant in the sky, but our code allows to change its value within an appropriate range. For the dust model we took a two dust temperature model, but we are able to select different models.

The model we constructed is based upon two full-sky maps: the map of Haslam et al. (1982) at 408 MHz and DIRBE map at . Both maps have nearly the same angular resolution: 0.85 deg and 0.6 deg respectively. It is also clear that both maps lack the proper angular resolution to simulate directly the PLANCK observations ().

Studies on the spatial distribution and power spectrum of galactic emission (Gautier et al. (1992), Kogut et al. (1996)) show that dust and at least one component of the free--free follow a power law with index : . For synchrotron emission the situation is still under discussion: the index will probably range from to .

We then extended in power our maps to match the proper PLANCK resolution. In order to do that we build square region of about with different indices of the power law spectrum. We then ``cover'' the sky with many of these fundamental patches with the condition that the signal in the extended map on the smaller angular scales provided by the original ``true'' map (Haslam et al. (1982) or DIRBE) must be the signal in the ``true'' map. In this way we are able to construct maps of galactic emission with the desired angular resolution for each of the PLANCK frequencies where the signals are scaled in frequency according to their spectral shape. In particular we built two maps of galactic emission at 30 and 100 GHz, that we have used for the present beam tests.


PPEUC Proceedings
Fri Jul 25 11:36:12 BST 1997