Conveners
Contributed Talks
- Cecilio García Quirós (University of Zurich)
- Sascha Husa (Institute of Space Sciences (ICE, CSIC))
- Jorge Valencia (University of the Balearic Islands)
- Jordi Portell de Mora (ICCUB)
- Carlos Sopuerta (ICE, CSIC and IEEC)
- Ivan Martín Vílchez (ICE-CSIC)
The Distributed Data Processing Center (DDPC) is the entity within the European Science Ground Segment, organised by ESA member states, that extracts the scientific products (L3 Data) from the noise corrected data (L1 data). The talk will first summarise the objectives and organisation of the DDPC, and then focus on the challenge of developing waveform models for LISA science, and of...
Parameter estimation with full Bayesian inference remains one of the outstanding challenges for the LISA data analysis infrastructure. Very few studies have focused on this issue and have been reduced to the use of Fourier domain waveforms. The limiting factor of this approach is the need for the development of approximate transfer functions that replicate the TDI response in the Fourier...
The talk will summarise ongoing efforts at UIB in gravitational wave data analysis for LISA, and for ground based detectors from a LISA perspective, focussing on waveform modelling, including numerical relativity,
and parameter estimation.
The Gaia space astrometry mission of ESA is collecting data from more than one billion stars of the Milky Way and beyond, meaning over 136 TB of raw data, nearly 260 billion combined measurements (star transits) and over 2.5 trillion astrometric measurements so far. Even though these numbers may seem "manageable" with nowadays technology, it was a huge challenge back in 2005 when the Gaia Data...
LISA will be the first space-based gravitational-wave and will operate in the milli-Hertz frequency band, with is rich in different astrophysical and cosmological sources. LISA is a signal-dominated detector which means that the data stream always contains overlapping sources, among them millions of galactic ultracompact binaries. In order to detect and estimate the physical parameters of...
