Numba is a JIT compiler that translates a subset of Python and NumPy code into fast machine code. Cppyy is an automatic, run-time, Python-C++...
Deep Autoencoders for Scientific Data Compression
Aman Singh Thakur
Development and Deployment of a Lossy Compression Tool 'Baler' that uses deep autoencoders to flexibly compress scientific data. Use Baler to...
MCnet/LHAPDF - Test Suite and Coverage for Parton Density Calculations
Arjun Taneja
The LHAPDF C++ library plays a crucial role in the Large Hadron Collider (LHC) programme by providing it with Parton Distribution Function (PDF) data...
Geant4-FastSim: Transformer-based architecture for fast shower simulation
Chenguang Guan
Calorimeter is one of the most important components of the Large Hadron Collider (LHC) experiments, detecting energy loss of particles after...
Improve automatic differentiation of object-oriented paradigms using Clad
Daemond Zhang
I would like to apply for the Improve automatic differentiation of object-oriented paradigms using Clad project. This project is mainly focused on...
Extend and improve the CERNBox Notifications platform
daniel-rey
Reva is the core of the CERNBox service. It is a middleware framework, providing interoperability between storage and application providers using a...
Belle II Event Display with Phoenix
Hieu Le Cong Minh
The proposed project aims to improve the accessibility and user experience of Belle II by developing a web application for event display. Currently,...
Graph Construction for Charged Particle Tracking using Point Cloud Networks
Jian Park
Graph neural networks (GNNs) have shown great potential in solving the complex problem of charged particle tracking, which is an essential task in...
Estimating the energy cost of scientific software
Manas Pratim Biswas
The Large Hadron Collider (LHC) experiments generate massive datasets composed of billions of proton-proton collisions. The analysis of this data...
Leverage Spark Connect for interactive data analysis in Jupyter Notebooks
Muhammad Aditya Hilmy
CERN uses a service called Service for Web Analysis (SWAN) to perform analyses on scientific data, which is built on top of Jupyter notebook....
ROOT - TMVA SOFIE Developments - Inference Code Generation for Deep Learning models
Neel Shah
Toolkit for Multivariate Analysis (TMVA) is a multi-purpose machine learning toolkit integrated into the ROOT scientific software framework, used in...
Enable cross-talk between Python and C++ kernels in xeus-clang-REPL by using Cppyy
Smit Shah
xeus-clang-REPL is a C++ kernel for Jupyter notebooks using clang-REPL as its C++ Interpreter. Cppyy is an automatic, run-time, Python-C++ bindings...
Improving the sense of scale and navigation in high energy physics event visualization
Somya Bansal
This project aims to improve the scale and navigation inside the Phoenix application which is basically an Angular-based web application written in...
Real-time lossless data compression for the FASER experiment
Sumalyo Datta
This project aims to add support for real-time lossless compression libraries and algorithms in the data acquisition system that is being used for...
Implement vector mode in forward mode automatic differentiation in Clad
Vaibhav Thakkar
In mathematics and computer algebra, automatic differentiation (AD) is a set of techniques to numerically evaluate the derivative of a function...
RooFit - Pythonic interaction with the RooWorkspace
Yash Solanki
RooFit uses RooWorkSpace to manage its models. Currently, the syntax to interact with RooWorkspace is completely different from Python syntax, which...