Ankit Biswas

2025

1. MNRAS

   Atmospheric model-trained machine learning selection and classification of ultracool TY dwarfs

   Ankit Biswas

   Monthly Notices of the Royal Astronomical Society, 2025

   Abs Bib

   An ensemble machine learning framework trained on atmospheric models to select and classify ultracool T- and Y-type brown dwarfs, enabling the discovery of new substellar candidates.

   @article{biswas2025tydwarfs,
     title = {Atmospheric model-trained machine learning selection and classification of ultracool TY dwarfs},
     author = {Biswas, Ankit},
     journal = {Monthly Notices of the Royal Astronomical Society},
     volume = {541},
     number = {2},
     pages = {1670--1681},
     year = {2025},
     publisher = {Oxford University Press},
     url = {https://ui.adsabs.harvard.edu/abs/2025MNRAS.541.1670B},
   }

2. Sensors

   Commissioning an all-sky infrared camera array for detection of airborne objects

   Laura Domine, Ankit Biswas, Richard Cloete, and 13 more authorsAlex Delacroix, Andriy Fedorenko, Lucas Jacaruso, Ezra Kelderman, Eric Keto, Sarah Little, Abraham Loeb, Eric Masson, Mike Prior, Forrest Schultz, Matthew Szenher, Andrés Wesley Watters, Abigail White

   Sensors, 2025

   Abs Bib

   Design and commissioning of an all-sky infrared camera array, developed by the Galileo Project, for the systematic detection and characterization of airborne objects.

   @article{domine2025allsky,
     title = {Commissioning an all-sky infrared camera array for detection of airborne objects},
     author = {Domine, Laura and Biswas, Ankit and Cloete, Richard and Delacroix, Alex and Fedorenko, Andriy and Jacaruso, Lucas and Kelderman, Ezra and Keto, Eric and Little, Sarah and Loeb, Abraham and Masson, Eric and Prior, Mike and Schultz, Forrest and Szenher, Matthew and Watters, Andrés Wesley and White, Abigail},
     journal = {Sensors},
     volume = {25},
     number = {3},
     pages = {783},
     year = {2025},
     publisher = {MDPI},
   }

3. AAS

   Reconstructing the Cosmic Web Over the First 2 Gyr via Deep Learning Decomposition of the Cosmic Infrared Background

   Ankit Biswas

   In American Astronomical Society Meeting Abstracts, Jun 2025

   Abs

   A deep-learning method to decompose the Cosmic Infrared Background and reconstruct the high-redshift large-scale structure of the universe during the first two billion years.

2024

1. SNCURCS

   Discovery of the 5 Oldest Population III LBG Candidates with a Population-Synthesis Approach

   Ankit Biswas

   In State of North Carolina Undergraduate Research and Creativity Symposium, 2024

   Abs

   Identification of five of the oldest Lyman-break galaxy candidates hosting Population III stars, using a population-synthesis approach to probe the Epoch of Reionization.

2. NCAM

   The Search for Intermediate-Mass Black Holes: Next Steps at NCMNS

   Patrick Treuthardt, Ian Hewitt, Grace Ockert, and 1 more authorAnkit Biswas

   In North Carolina Astronomers’ Meeting, 2024

   Abs

   An overview of current research in the (pitch angle)-(supermassive black hole mass) relation at NCMNS.