Browsing by Author "Srivastava, D. C."

Now showing 1 - 3 of 3

Data analysis of continuous gravitational wave : All sky search and study of templates
(2001-07-01) Srivastava, D. C.; Sahay, S. K.
We have studied the problem of all sky search in reference to continuous gravita- tional wave particularly for such sources whose wave-form are known in advance. We have made an analysis of the number of templates required for matched ﬁlter analysis as applicable to these sources. We have employed the concept of ﬁtting factor (FF); treating the source location as the parameters of the signal manifold and have studied the matching of the signal with templates corresponding to different source locations. We have investigated the variation of FF with source location and have noticed a sym- metry in template parameters, θT and φT . It has been found that the two different template values in source location, each in θT and φT , have same FF. We have also computed the number of templates required assuming the noise power spectral density Sn(f) to be ﬂat. It is observed that higher FF requires exponentially increasing large number of templates.
Data analysis of continuous gravitational wave : Fourier transform - I
(2001-03-12) Srivastava, D. C.; Sahay, S. K.
We present the Fourier Transform of a continuous gravitational wave. We have analysed the data set for one day observation time and our analysis is applicable for arbitrary location of detector and source. We have taken into account the effects arising due to rotational as well as orbital motions of the earth.
Data analysis of continuous gravitational wave: Fourier transform-II
(2001-06-02) Srivastava, D. C.; Sahay, S. K.
In this paper we obtain the Fourier Transform of a continuous gravitational wave. We have analysed the data set for (i) one year observation time and (ii) arbitrary obser- vation time, for arbitrary location of detector and source taking into account the effects arising due to rotational as well as orbital motion of the earth. As an application of the transform we considered spin down and N-component signal analysis.