Guido Cupani is a researcher at the Italian National Institute for Astrophysics. He specializes in software solutions for the analysis of medium-to-high resolution quasar spectra. He developed the quasar branch of the Data Analysis Software for the VLT ESPRESSO spectrograph and is now responsible for the data reduction work package of the VLT CUBES spectrograph and for the data analysis work package of the ELT Hi-Res spectrograph. He is involved on several science projects to investigate the properties of the intergalactic medium using quasars as background sources.Profile Picture – adass-xxxi-2021/question_uploads/IMG_7675_HyR3j4Q.jpeg Affiliation –
INAF–Osservatorio Astronomico di TriestePosition –
ResearcherGitHub ID –
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- and circumgalactic medium, which can be used to constrain both the cosmic evolution (abundance of primordial elements, reionization, etc.) and fundamental physics (dark matter, variability of constants, general relativity, etc.). Such endeavour entails two basic requirements: the accessibility of bright QSOs as background beacons, to be observed with current and future earth-based facilities (e.g. the ESO VLT and ELT), and the availability of software resources to properly analyze the data, extracting the relevant information in a reliable and reproducible way. In this talk, we will present the latest results we obtained in both direction within the QUBRICS project (QUasars as BRIght beacons for Cosmology in the Southern hemisphere). We will describe how machine learning techniques (canonical component analysis, probabilistic random forest) 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 intergalactic medium observations.