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Achievements

Achievement: YOLOAchievement: Pull Shark

Achievements

Achievement: YOLOAchievement: Pull Shark

Highlights

  • Pro

Organizations

@CMB-S4 @superbit-collaboration @NextGenCMB @Souradeep-CMBLab

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s-Sayan/README.md

Hi folks 🙋🏻‍♂️, I'm Sayan

s-sayan

  • 🔭 I’m currently working on CosmoHMC, Lensit

  • 🧑🏻‍💻 All of my projects are available at s-sayan.github.io

  • 💬 Ask me about Cosmology, Cosmic Microwave Background (CMB), Large Scale Structure (LSS), Weak Gravitational Lensing, Galaxy-clusters, Bayesian Inferences

  • 📫 How to reach me [email protected]

  • 📄 Know about my experiences - CV

  • ⚡ Beside my academic career, I play guitar and love metal music :)

Connect with me:

sayan saha sayan saha sayan.saha96

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  1. carronj/LensIt carronj/LensIt Public

    Jupyter Notebook 25 18

  2. superbit-collaboration/superbit-lensing superbit-collaboration/superbit-lensing Public

    superbit-metacal successor – contains a collection of routines used to perform ngmix/metacalibration on real SuperBIT images

    Python 4

  3. ShearNet ShearNet Public

    A Python library and CLI for galaxy shear estimation using neural networks. Features include galaxy simulation, GPU-accelerated training with JAX, metacalibration comparison, and performance visual…

    Python 2

  4. GeorgeVassilakis/SMPy GeorgeVassilakis/SMPy Public

    From Shear to Map: A Python-based approach to constructing mass maps from lensing measurements.

    Python 7 3

  5. CosmoHMC CosmoHMC Public

    An easy-to-use HMC sampler to do field level inference and parameter inference from full (and partial) sky survey data

    Jupyter Notebook 1