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edoardomaragliano/README.md

Hi there 👋

  • 🎓 BSc and MSc in Physics @ University of Genova
  • 📚 PhD Student in Cosmology @ University of Genova
  • 🛰️ Member of the ESA Euclid Collaboration
  • 🤖 Interested in ML and AI
  • 🥁 Fun fact: I’m a drummer, trained in Orchestral Percussion - but mostly playing pop and rock!

📫 Contact: edoardo.maragliano@gmail.com

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  1. CosmoRecon CosmoRecon Public

    Deep-learning reconstruction of 3D cosmological density fields using an adaptive 3D U-Net with mask-aware losses. Supports multi-GPU training for tasks like removing redshift-space distortions, rec…

    Python 1

  2. baorecon baorecon Public

    BAO reconstruction in pure Python —Features FFT & multigrid solvers, Numba-accelerated for CPU/GPU.

    Python

  3. Mesh2PCF Mesh2PCF Public

    An efficient, parallelised C++ code to compute the two-point correlation function (2PCF) of gridded density fields directly in configuration space within minutes. The core library is wrapped in Pyt…

    C++

  4. LabMCS LabMCS Public

    This repo contains most of the code I developed a few years ago during the course "Computational and Statistical Methods Lab" at the University of Genova. It is in Python and C++ and often makes us…

    Jupyter Notebook 1

  5. CosmoIntro CosmoIntro Public

    A collection of introductory cosmology notebooks. Topics include cosmological distances, CMB, inflation, DM power spectrum. In partial fulfillment of the "CosmicStructures" class at UniGenova.

    Jupyter Notebook

  6. PhysicsSimulations PhysicsSimulations Public

    This repo contains code I developed as partial fulfillment of the course 'Simulation Methods Applied to Physics' in 2020-2021. It concerns simulations in CondensedMatterPhysics and ParticlePhysics.

    C++