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15 followers · 17 following
  • Max-Planck-Institut für Physik (Werner-Heisenberg-Institut)
  • Garching bei München
  • LinkedIn in/micheleperesano

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Achievement: QuickdrawAchievement: YOLOAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor

Achievements

Achievement: QuickdrawAchievement: YOLOAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor

Organizations

@cta-observatory

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HealthyPear/README.md

hey there 👋

👩‍💻 About Me

- 🔭 I’m working as a post-doctoral researcher at the Max-Planck-Institut for Physics working on Very High energy astrophysics using imaging atmospheric Cherenkov telescopes
- 📚 Python aficionado, but learning C++20 and Rust
- ⚙️ I care about well-documented, public and reproducible results
- ⚡ In my free time I like to hike, climb and ski!

🛠 Languages and tools

python logo bash logo markdown logo c logo cplusplus logo git logo codecov logo numpy logo pandas logo jupyter logo gcc logo docker logo vagrant logo github logo gitlab logo bitbucket logo trello logo linux logo apple logo vscode logo vim logo atom logo

🔥 My Stats

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Pinned Loading

  1. pyirf pyirf Public

    Forked from cta-observatory/pyirf

    Python IRF builder

    Python 1

  2. protopipe protopipe Public

    Forked from cta-observatory/protopipe

    Prototype pipeline for the analysis of simulated data of the Cherenkov Telescope Array observatory

    Jupyter Notebook

  3. cpp_project_with_python_bindings cpp_project_with_python_bindings Public template

    A template repository for a C++ project with Python bindings using nanobind and scikit-build-core

    CMake

  4. cta-observatory/iact-estimator cta-observatory/iact-estimator Public

    Estimate the observability properties of a source with an IACT system

    Python 4

  5. reproducible-fermi-lat reproducible-fermi-lat Public template

    A Fermi-LAT analysis workflow for reproducible open articles based on showyourwork

    TeX

  6. naimatic naimatic Public

    A framework for building and running multiple astrophysical models using naima

    Python