Orateur
Description
Among the numerous sources expected to be observed by LISA, stellar-mass black holes and EMRIs constitute two of the main classes with specific science objectives. The former, already observed by LVK detectors, would be now discovered in their early inspiral phase where, for example, eccentricity information would give us information on the environment in which they form and would give a probe of stellar-mass black hole formation channels. The latter would enable observations of quiescent galaxies alike to the Milky Way, not visible in the electromagnetic spectrum, and therefore give information on the content of galaxies similar to ours, as well a being a great probe of General Relativity and its extensions. The signal generated by those source have in common that they stay for a long time in the LISA band (months to years), therefore all source of noise have to be considered as non-stationary. Representing the signals using time-frequency transforms allows us to take this into account. I will present an approach based on the knowledge of the amplitude and the phase of a gravitational waveform to compute an approximate LISA response using Short Time Fourier Transforms, to be used to run MCMC chains to recover the parameters from a given signal, and its application to Mojito Lite simulated data.