Sep 2026· Zenodo (CERN European Organization for Nuclear Research)
Abstract
🚀 What's Changed in v1.1.0 This release marks a major milestone in preparing the Exoplanet Transit Detection Pipeline for formal peer review with the Journal of Open Source Software (JOSS) and triggering an updated version snapshot on Zenodo. 📜 Academic Manuscript & Packaging JOSS Manuscript Draft: Added paper/paper.md and paper/paper.bib structured according to JOSS standards, complete with metadata, mathematical background, and BibTeX citations. Licensing & Dependencies: Added the MIT License (LICENSE), standardized environment setup in requirements.txt, and updated project documentation in README.md. Repository Architecture: Refactored project structure into clean modules for interactive exploration (project.ipynb) and standalone script execution (project.py). ⚙️ Pipeline & Signal Processing Enhancements Automated Unit Testing: Integrated self-verifying assertion tests (assert checks) to programmatically validate detected orbital periods against known physical target parameters (verified on Kepler-10b). Digital Signal Processing (DSP): Refined high-pass baseline flattening and median outlier rejection algorithms to handle noisy NASA Kepler/TESS optical telemetry. Fault Tolerance: Enhanced error handling and exception logging for continuous batch processing across multi-quarter star datasets. 📦 Quick Installation & Verification # Clone the repository git clone [https://github.com/UtkarshPandey-0/Task-Master-codes.git](https://github.com/UtkarshPandey-0/Task-Master-codes.git) # Navigate into the project folder cd Task-Master-codes # Install dependencies pip install -r requirements.txt # Run the pipeline & automated unit test python project.py
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StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
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