Colas Droin's Projects
A jupyter notebook to help align slices acquired from MALDI imaging to a reference (manual alignment, using ipywidgets, or semi-automated registration, with itk-elastix).
Allen Brain Atlas utilities, parsers and data structures
a python based software for visualization of neuroanatomical and morphological data.
Tools to create a Xmask config file at a given timestamp from NXCALS
Code for the project: Space-time logic of liver gene expression at sublobular scale
My personal page, built with React, Mantine and P5.js
A Dash application to visualize the observables and parameters of a collider built and configured with Xsuite.
A small package that provides functions to check the observables in a collider, using a collider built with Xsuite.
An exhaustive comparison of pymask and xmask, to ensure machines built with both collider configuration managers are identical.
Project code: Low-dimensional Dynamics of Two Coupled Biological Oscillators (Nature Physics paper)
A Python Dash application to explore rhythmic circadian zonation data.
A small webpage to host the CZViz Python Dash app
Fourier animation with D3.js
Code repository for the article "Status of beam-beam studies for the high-luminosity LHC" by C. Droin & al., published in the proceedings of the 2024 International Particle Accelerator Conference (IPAC'24).
A repository used for dynamic aperture simulations of the High-Luminosity LHC
A repository used for dynamic aperture simulations of the High-Luminosity LHC, adapted for the High Performance Computing clusters at INFN-CNAF
Dynamics aperture study template
A volume slicer for Dash
A list of notebooks corresponding to the posts made on my blog.
The Lipid Brain Atlas Explorer is a Python Dash web-application developed to assist the inspection and the analysis of a large mass-spectrometry dataset of lipids brain distribution.
A small Python Dash app to interactively explore the LHC layout.
Small Python module to generate the Hamiltonian for a given multipole order, and find the Lie transformation accordingly.
Julia implementation of different methods used for phase inference