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Astrophysics and Space Science in Marche III: Big Bang, Big stars, Big Computers

→ Europe/Rome
Sala Congressi della Fondazione Cassa di Risparmio di Jesi (Jesi)

Sala Congressi della Fondazione Cassa di Risparmio di Jesi

Jesi

Piazza Angelo Colocci, 4, 60035 Jesi (AN)
Alessandro Renzi (Univ. and INFN Padova, INAF-OAS), Gianluca Castignani (INAF-OAS Bologna)
Description

We are at a pivotal moment in cosmology. An unprecedented influx of observational data—from the tomography of black holes and the detection of gravitational waves to the precision mapping of the cosmic microwave background (CMB) and large-scale structure (LSS)—has placed us in a "gold mine" of discovery. Moreover, future surveys such as Euclid and LiteBird will further increase the challenge of analysing cosmological data.

 

However, this wealth of data has also sharpened our most fundamental questions. The nature of dark matter and dark energy remains elusive, cosmological tensions (such as the Hubble constant discrepancy) persist, and key details of the primordial universe, including inflation and baryogenesis, are still unresolved.

To unravel the fundamental physics underlying our universe, this conference aims to build a collaborative bridge between the three foundational pillars of modern research:

  • Theoretical Modeling: Developing the fundamental theories of inflation, dark matter, and modified gravity.
  • High-Performance Computing (HPC): Running sophisticated simulations (e.g., numerical relativity and large-scale structure formation) that link theory to reality.
  • Advanced Data Analysis: Employing cutting-edge AI/ML and astro-statistical techniques to extract meaningful insights from massive and complex datasets.

"Big Bang Big Stars Big Computer" will bring together leading theorists, computational scientists, and observational astronomers. The conference will explore the synergistic relationship between these disciplines, addressing how fundamental theories guide simulations, how HPC provides the crucial link between theory and observation, and how AI-driven data analysis unlocks discoveries hidden within complex datasets.

Confirmed Invited Speakers

Yashar Akrami (IFT UAM-CSIC, Madrid, Spain)

Fabio Finelli (INAF OAS, Bologna, Italy)

Nathaniel Starkman (MIT Kavli Institute, Cambridge, USA)

More Invited speakers will be announced soon.

Registration fees

For early registration (before 29 June), the registration fee is 250 euros for PhD, master's and bachelor's students and 350 euros for Seniors. This fee covers coffee breaks. For late registration (after June 29 and before July 20), the registration fee is 300 euros for PhD, Master's, and Bachelor's students and 400 euros for senior participants.

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