Skip to main content

Future Collider Experiment Studio — HEP analysis tool for FCC-ee simulated data

Project description

Future Collider Experiment Studio

The Future Collider Experiment (FCE) project provides a sneak peek into the particle physics processes that will become available at the Future Circular Collider (FCC) in a user-friendly environment.

Built with Dear PyGui, it runs natively on macOS, Windows, and Linux. All dependencies are installed automatically via pip.

Main screen interface

FCE main screen


Installation

pip install fce

Then launch from a terminal:

fce

Requirements

  • Python ≥ 3.10
  • A display (X11/Wayland on Linux, Quartz on macOS, Win32 on Windows)

License

LGPL-2.1

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

fce-0.0.9.tar.gz (864.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

fce-0.0.9-py3-none-any.whl (862.5 kB view details)

Uploaded Python 3

File details

Details for the file fce-0.0.9.tar.gz.

File metadata

  • Download URL: fce-0.0.9.tar.gz
  • Upload date:
  • Size: 864.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.15

File hashes

Hashes for fce-0.0.9.tar.gz
Algorithm Hash digest
SHA256 b2c684cc284a6daa085182857e9bc7726910c838ba8fb02c26a6cbfe6c66fd8e
MD5 67e9fec81913674f0583793710ae2113
BLAKE2b-256 d0d6472393eeabc8278e8e2568958bb0ad14706406a858804f9c6c4451098f38

See more details on using hashes here.

File details

Details for the file fce-0.0.9-py3-none-any.whl.

File metadata

  • Download URL: fce-0.0.9-py3-none-any.whl
  • Upload date:
  • Size: 862.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.15

File hashes

Hashes for fce-0.0.9-py3-none-any.whl
Algorithm Hash digest
SHA256 d4cb628dc51a9b20a5a3aa20622babbc7241814c8e489724fde445e90b5a5677
MD5 0ae0bc99ec1ac05e56eab99e21abbd1b
BLAKE2b-256 e8ccab5c61ac699e14c884746c87515fd8934b185b2e79ea05f512690ffbbba6

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page