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| Paper: |
Advanced Data Analysis for Observational Cosmology: Applications to the Study of the Intergalactic Medium |
| Volume: |
535, Astronomical Data Analysis Software and Systems XXXI |
| Page: |
127 |
| Authors: |
Cupani, G.; Calderone, G.; Cristiani, S.; Guarneri, F. |
| Abstract: |
The analysis of absorption features along the line of sight to distant sources is an invaluable tool for observational cosmology, giving a direct insight into the physical and chemical state of the inter-/circum-galactic medium. Such endeavor entails the accessibility of bright QSOs as background beacons, and the availability of software tools to extract the information in a reproducible way. In this article, we will present the latest results we obtained in both directions within the QUBRICS project: we will describe how machine learning techniques were applied to detect hundreds of previously unknown QSOs in the southern hemisphere, and how state-of-the art software like QSFit and Astrocook was integrated in the analysis of the targets, opening up new possibilities for the next era of observations. |
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