From the 1 of 8 linked papers with an AI index.
8 papers
Assessing the Impact of Instrumental Requirements on the Scientific Performance of the Einstein Telescope
Ulyana Dupletsa, Francesco Iacovelli, Mikhail Korobko +23
The paper evaluates how different design choices and noise characteristics of the Einstein Telescope affect its ability to detect and analyze various gravitational‑wave sources, us…
On the Codesign of Scientific Experiments and Industrial Systems
Tommaso Dorigo, Pietro Vischia, Shahzaib Abbas +84
The optimization of large experiments in fundamental science, such as detectors for subnuclear physics at particle colliders, shares with the optimization of complex systems for in…
GraviBERT: Transformer-based inference for gravitational-wave time series
Martin Benedikt, Ippocratis D. Saltas
We introduce GraviBERT, a novel deep learning framework for gravitational wave inference, built on a multi-scale feature extractor with a transformer encoder and a suitable regress…
Modelling Gaia photometry signals of dark halos
George Pappas, Ippocratis D. Saltas, Laurent Eyer
We use the framework of microlensing to show that observations of binary systems, such as those made by {\it Gaia}, combined with follow-up weak lensing measurements, can provide a…
The CosmoVerse White Paper: Addressing observational tensions in cosmology with systematics and fundamental physics
Eleonora Di Valentino, Jackson Levi Said, Adam Riess +533
The standard model of cosmology has provided a good phenomenological description of a wide range of observations both at astrophysical and cosmological scales for several decades.…
On the nature of the missing mass of galaxy clusters in MOND: the view from gravitational lensing
Benoit Famaey, Lorenzo Pizzuti, Ippocratis D. Saltas
Modified Newtonian Dynamics (MOND) has long been known to fail in galaxy clusters, implying a residual missing mass problem for clusters in this context. Here, using mass profiles…