Projects and Resources

Publications

  1. Snehanshu Saha, Suryoday Basak, Margarita Safonova, Kakoli Bora, Surbhi Agrawal, Jayant Murthy, Poulami Sarkar, Theoretical Validation of Potential Habitability via Analytical and Boosted Tree Methods: An Optimistic Study on Recently Discovered Exoplanets, accepted by Astronomy and Computing (Elsevier), Preprint, Link
  2. Margarita Safonova, Snehanshu Saha, Jayant Murthy, Suryoday Basak, Madhu Kashyap, Surbhi Agrawal, Kakoli Bora, Pros and Cons of Classification of Exoplanets: in Search for the Right Habitability Metric, doi:10.13140/RG.2.2.27301.81121, Preprint
  3. [work in progress]Suryoday Basak, Snehanshu Saha, Kakoli Bora, Abhijit Jeremiel Theophilus, Margarita Safonova, Jayant Murthy, Gouri Deshpande, Surbhi Agrawal, CEESA Meets Machine Learning: A Constant Elasticity Earth Similarity Approach to Habitability and Classification of Exoplanets
  4. Rahul Aedula, Yashasvi Madhukumar, Snehanshu Saha, Archana Mathur, Kakoli Bora, Surbhi Agrawal, L1 Norm SVD based Ranking Scheme: A Novel Method in Big Data Mining, Springer Advances in Intelligent Systems and Computing (AISC) Series Preprint
  5. Mohammed Viquar, Suryoday Basak, Ariruna Dasgupta, Surbhi Agrawal, Snehanshu Saha, Machine Learning in Astronomy: A Case Study in Quasar-Star Classification, Springer Advances in Intelligent Systems and Computing (AISC) Series, Preprint
  6. Surbhi Agrawal, Margarita Safonova, Kakoli Bora, Suryoday Basak, Snehanshu Saha, Note on Proxima Centauri b: Theoretical validation of potential habitability via CD-HPF, Astrobiology Newsletter, Vol.10, No.4, 2017, URL: Link
  7. Kakoli Bora, Snehanshu Saha, Surbhi Agrawal, Margarita Safonova, Swati Routh, Anand Narasimhamurthy, CD-HPF: New habitability score via data analytic modeling, Astronomy and Computing (Elsevier), Volume 17, October 2016, Pages 129-143, Preprint
  8. Swati Routh, Snehanshu Saha, Atul Bhat, M.N. Sundar, An analytical model of prominence dynamics, Advances in Space Research (Elsevier) doi:10.1016/j.asr.2017.10.035, Preprint
  9. Surbhi Agrawal, Suryoday Basak, Snehanshu Saha, Kakoli Bora, Jayant Murthy, A Comparative Analysis of the Cobb-Douglas Habitability Score (CDHS) with the Earth Similarity Index (ESI), Preprint
  10. Rahul Aedula, Surya Rahul Duvvuri, Lalitha Saravanan, Snehanshu Saha, Machine Learning Based Analysis of Gravitational Waves Preprint
  11. Snehanshu Saha, Kakoli Bora, Suryoday Basak, Surbhi Agrawal, Archana Mathur, Saha-Bora Activation Function: Habitability Classification, Preprint
  12. Poulami Sarkar, Snehanshu Saha, Archana Mathur, Suryoday Basak, Time Reversed Delay Differential Equation Based Modeling Of Journal Influence In An Emerging AreaPreprint

Datasets and Catalogs

  1. CDHS catalog using imputed values of eccentricity
  2. CEESA Catalogs: CEESA DRS catalog and CEESA CRS Catalog
  3. CDHS catalog

EBook

  1. [work in progress]Snehanshu Saha, Kakoli Bora, Suryoday Basak, Gowri Srinivasa, Margarita Safonova, Jayant Murthy and Surbhi Agrawal, Machine learning in Astronomy: A Workman’s Manual

Posters

  1. Snehanshu Saha, Jayant Murthy, Madhu Kashyap, Surbhi Agrawal, Suryoday Basak, Swati Routh, Kakoli Bora, Anand Narasimhamurthy, Pros and Cons in Classification of Exoplanets: in Search for Right Habitability Metric, 36th Meeting of the Astronomical Society of India, Osmania Univeristy, Hyderabad, India
  2. Suryoday Basak, Kakoli Bora, Abhijit Jeremiel Theophilus, Margarita Safonova, Surbhi Agrawal, CEESA Meets Machine Learning: A Constant Elasticity Earth Similarity Approach to Habitability and Classification of Exoplanets , Drone Computing Symposium, IEEE Bangalore Section (presented on a special track)
  3. Center for Applied Mathematical Modeling and Simulation, A model of structure and dynamics of solar prominences
  4. Center for Applied Mathematical Modeling and Simulation, Estimating Planetary Habitability: Theory of convex optimization and metaheuristics

Research Gate

Astroinformatics

Software

ExoPlanet, developed by: Abhijit Jeremiel Theophilus, Mohinish Reddy, Suryoday Basak

ExoPlanet provides a graphical interface for the construction, evaluation and application of a machine learning model in predictive analysis. With the back-end built using the numpy and scikit-learn libraries, ExoPlanet couples fast and well tested algorithms, a UI designed over the PyQt framework, and graphs rendered using Matplotlib. This serves to provide the user with a rich interface, rapid analytics and interactive visuals. Link: http://ascl.net/code/v/1475

Important Code and Repositories

  1. Abhijit Jeremiel Theophilus' GitHub
  2. Suryoday Basak's GitHub
  3. Archana Mathur's GitHub
  4. Neural Networks: Back Propagation with Fuzzification (and related data) by Archana Mathur

Other Online Posts

Astroinformatics: What it is and why it is important by Suryoday Basak

External and Other Relevant Links

  1. Astroinformatics Research Group (AstrIRG)
  2. Astrostatistics and Astroinformatics Portal (ASAIP)
  3. Planetary Habitability Laboratory's Exoplanets Catalog
  4. International Astrostatistics Association (IAA)