2. The LTE atmosphere
Let us treat the number N of structural elements each of which is described by the power of the energy release, B, and optical thickness, . The value of B is assumed to be constant within each individual element. As earlier in Paper II, we begin by considering the simplest situation, when the pair of quantities () takes randomly only two possible sets of values ( ) and ( ), each occurring with probability and . One may think of a more general problem when various elements take different values of for the same value of B. Referring the interested reader to the paper by Jefferies and Lindsey (1988) for this problem, we note that all the results to be obtained can be easily extended to comprise this case as well.
Thus, suppose that we have a set of N radiating elements with randomly varying properties ( ). We are interested in the averaged characteristics of the emerging radiation such as the mean intensity and the RelMSD . As was emphasized in Paper II, the LTE atmosphere differs from the Non-LTE atmosphere essentially by the absence of reflected radiation from the structural components. This fact greatly simplifies the problem since the averaged characteristics of radiation emerging from a given medium are not affected as a result of the addition of new elements to the medium. This implies that the averaging process may be performed in parts, which allows to write directly
A more rigorous derivation of Eq. (1) might proceed along the following lines. Let a certain configuration of elements occur with probability P. Adding a new element to the front part of such a medium we shall observe a radiation of intensity or with probability and , respectively. Here we introduced the quantities characterizing the intensity of radiation emitted by an individual structural element of each type. Multiplying each value of intensity by the proper probability, and adding up the results we are led to Eq. (1). The same reasonings applied to yields
An important comment to be made at this stage is that the physical considerations and ratiocinations underlying Eqs. (1) and (3), do not depend on the number n of the possible values taken by the pair of parameters () Therefore, the mentioned equations along with those to be obtained are valid for an arbitrary number of realizations of the components' physical properties. Moreover, Eqs. (1) and (3) remain true also for the continual analogue of the problem at hand, i.e., when B and (hence J and ) are continuum-valued random quantities. Knowing the probability distributions of these quantities, one may easily find the proper averaged parameters (see below Eq. 12) being necessary for evaluation of the mean intensity and the RelMSD. For expository reasons, however, in what follows we continue studying the discrete problem, keeping in mind that the physical conclusions at which we arrive can be easily reformulated for the continuous distributions of B and .
where and .
where , and .
We now have at our disposal all of the equations needed to discuss the statistical properties of radiation emerging from the LTE atmosphere. An important salient trait inherent in Eqs. (4) and (9) (see also Eqs. 10 and 11) is that the values of the mean intensity and the RelMSD for the multicomponent atmosphere with an arbitrary number of elements are determined by only a few parameters. These parameters for the general case of n realizations of ( are
It is seen that all the above parameters are the averaged characteristics of a single structural element. Thus we arrive at the conclusion that, in general, there must exist a great number of configurations, having a fixed number of components, that are characterized by the same values of the mean intensity and the RelMSD. Furthermore, the values of and for such media exhibit the same behaviour with varying N.
in contrast (as will be seen later) to the Non-LTE atmosphere. Let us now consider several special cases when one of the physical parameters is the same for all components of an atmosphere:
where As might be expected, the fluctuations stem from the differences in values of B, and fall off with , tending to the nonzero limit . The larger the optical thickness of the components, the greater and the faster the passing of to its asymptotic plateau, . For sufficiently small such that , Eq. (14) simplifies to
(ii) Now we suppose that all components of a medium are characterized by the same value of i.e., the atmosphere is homogeneous, so that fluctuations in the observed radiation are due to variations in the total optical thickness. It is obvious that only in this case the arrangement of the elements for a given proportion of various species is not essential. Taking into account that now and , we obtain
It follows from Eq. (16) that for a homogeneous atmosphere the RelMSD tends exponentially to when . One may show that this is the only case in which fluctuations vanish with increasing N.
(iii) Also of interest is the situation in which all structural elements are emitting equal amounts of energy so that the fluctuations are due only to the difference in absorption of the emerging radiation. Now and which represent the minimal values of these quantities for a given set of , as compared to other cases. Thus the fluctuations in the observed intensity are also the lowest. In the special case in which the equality of follows from the equality of (and hence ), we are led back to the homogeneous atmosphere. In this particular case, when are also equal, is obviously zero, otherwise is zero only for , and increases monotonically with an increase of N to its asymptotic value, , resulting from Eq. (13).
In order to make an impression on the run of with N for any values of and , we consider the results of calculations concerning the simplest problem of . As was stated above, the conclusions at which we arrive may be readily generalized to cover more complicated problems. Particular attention will be paid to the behaviour of with respect to N for which may be regarded as the discrete and extremely schematic model of the continuous-valued problem with symmetrical probability distributions characterizing the physical properties of an atmosphere. The values of for fall typically between those evaluated for large and small probabilities (see Fig. 1) (here we exclude the non-interesting situations in which p is close to zero or unity, which collapse to the homogeneous problem). The only exception shown in Figs. 2-4 concerns the case in which approaches and this will be discussed below.
Depending on the values of the parameters given by Eq. (12), the function can exhibit a broad variety of different behaviours. It may decrease or increase monotonically with or exhibit an initial decrease followed by an increase for greater values of To facilitate further discussion, we note that the symmetry of the problem with respect to simultaneous exchange and , allows us to limit the discussion to the case It is expedient to distinguish among others the situation in which the structural elements radiate an equal amount of energy (i.e., when , or ). This situation is unreachable if the condition is satisfied together with inequality In this case is a monotonically decreasing function of N and goes to a nonzero limit as .
Fig. 1 shows that for ( ) fixed the values of are smaller when the bright component is more probable. With increasing this function becomes steeper, while an increase in the values of both of not violating the inequality leads to a smaller limit of as N . As might be expected, with an increase of from 0 to 1, (i.e., with decreasing contrast between ), the RelMSD becomes smaller (see first three graphs of Fig. 3a). The behaviour of with respect to N is altered essentially when one of inequalities, or , changes its sign (see Fig. 2). This corresponds to the case when the brighter component is less opaque than the fainter. We also observe that now the values of for are the largest. We see from Fig. 3a that for , close to , becomes smaller for any value of N, and alters its behaviour by turning into a monotonically increasing function of N. When , changes from an increasing function of N for to a monotonically decreasing function for (Fig. 3b).
Figs. 4a and b illustrate the relationship between and for and , respectively. The minimum attained by at is clearly seen. It is noteworthy that depending on whether the inequality or holds, the behaviour of as is different for large values of N. The quantitative analysis of numerical results described above as well as their application to prominences will be given in Sect. 5.
© European Southern Observatory (ESO) 1999
Online publication: February 23, 1999