Moreno Fernandez Joaquin Contabilidad Basica.pdf
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Tese de Doutoramento, Instituto Tecnológico de México.
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Category:Business books by genre of the receiver, the apparent slope is set to be infinite in the direction of the putative source. This apparent infinite slope will be an important factor in implementing our time delay estimation algorithm.
The two shaded regions in Figure \[fig:fig3\] are delimited by the [**horizontal**]{} lines with equal x-intercepts, determined by the last common time for all the receivers. These horizontal lines correspond to the lines of the [**aperture function**]{}, and they can be calculated from the following equation: $\label{eq:t}
t = \frac{\sum\limits_{i=1}^{N} [l_i - \tau_i]}{\sum\limits_{i=1}^{N} l_i}$ where $t$ is the point in time where the receiver’s proper motion leads to a time lag, $l_i$ is the line-of-sight path length to the last common time for the $i$th receiver, and $\tau_i$ is the time lag of the $i$th receiver, which is equivalent to $\tau_{\rm S}$ in the case of a direct source. In the following discussion, $l_i$ and $\tau_i$ refer to the last common time at which receiver $i$ contributes to the time delay calculation.
The solid curve in Figure \[fig:fig4\] is the time delay function, which includes the geometry of the source and receivers, the redshift factor, and the cosmological constant. Using the equation for the time delay function, we can calculate the time delay to the last common time, and hence calculate the location of the last common time. In the illustration in Figure \[fig:fig4\], the last common time is 10 years from the present (as seen in the receiver’s proper motion) for this particular geometry.
The dashed curve in Figure \[fig:fig4\] shows the $\pm 1\sigma$ range in the time delay estimation, as determined by the S/N. In this case, the dashed curve 0b46394aab
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