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Anirban

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Anirban

Anirban Dutta enhanced the tardis-sn/tardis repository by developing advanced gamma-ray spectral simulation features, including a comprehensive refactor of gamma-ray packet handling and energy deposition to improve the accuracy of astrophysical decay modeling. Leveraging Python, Numba, and Monte Carlo methods, Anirban introduced time-dependent isotopic decay and refined positronium sampling, enabling higher-fidelity spectra for research applications. He also established a reusable high-energy gamma-ray transport workflow with an integrated Jupyter Notebook example, supporting reproducible simulations. Additionally, Anirban improved project documentation by formally integrating and citing the radioactivedecay package, ensuring traceability and reproducibility in scientific computing environments.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

3Total
Bugs
0
Commits
3
Features
3
Lines of code
2,012
Activity Months3

Work History

August 2025

1 Commits • 1 Features

Aug 1, 2025

Concise monthly summary for tardis-sn/tardis (2025-08) focusing on business value and technical achievements.

May 2025

1 Commits • 1 Features

May 1, 2025

May 2025: Delivered a new High Energy Gamma-Ray Transport Workflow for TARDIS, establishing a reusable workflow class and an example notebook. No major bugs fixed this month; stability of existing pipelines maintained while adding significant capability for researchers to run high-energy gamma-ray transport simulations more reproducibly and efficiently. Overall, this work strengthens TARDIS' simulation capabilities and accelerates planning and execution of high-energy studies.

February 2025

1 Commits • 1 Features

Feb 1, 2025

February 2025: Gamma-ray Spectral Simulation Enhancements in TARDIS were delivered, featuring a full refactor of gamma-ray packet handling and energy deposition, along with time evolution of isotopic decays and improved positronium sampling to yield more accurate gamma-ray spectra from radioactive decay in astrophysical environments.

Activity

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Quality Metrics

Correctness93.4%
Maintainability86.6%
Architecture93.4%
Performance86.6%
AI Usage20.0%

Skills & Technologies

Programming Languages

BibTeXJupyter NotebookNumbaPythonRst

Technical Skills

Astrophysics SimulationData AnalysisDocumentationHigh-Energy PhysicsHigh-Performance ComputingJupyter NotebooksMonte Carlo MethodsNuclear Decay ModelingNumbaPythonScientific ComputingTechnical Writing

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

tardis-sn/tardis

Feb 2025 Aug 2025
3 Months active

Languages Used

NumbaPythonJupyter NotebookBibTeXRst

Technical Skills

Astrophysics SimulationData AnalysisHigh-Performance ComputingMonte Carlo MethodsNuclear Decay ModelingNumba

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