Speaker
Description
The Einstein Telescope is expected to revolutionize our understanding of the universe through the detection of gravitational waves.
In this work, we test how the duty cycle affects parameter estimation for astrophysically relevant variables, such as source frame masses and distance, for the triangular and the 2L design. By analyzing a large set of injections with nested sampling algorithms, we find the triangular design to be more resilient to the loss of data than the 2L design: when comparing both designs, when a detector in the network is not functioning, the triangle gives better constraints with respect to the 2L 99.5% of the time, independently of the signal ot noise ratio. We explore how the choice of how the coordination of maintenance on the detectors impacts overall performance and finally we show how these results impact the expected science output of the 2 designs over different duty cycle estimates.