Deep Chatterjee

Deep Chatterjee

Astrophysicist, Ph.D.

Publications

Lead author papers

  • El-CID: A filter for Gravitational-wave Electromagnetic Identification, MNRAS (2021).
  • Cosmology with Love: Measuring the Hubble constant using neutron star universal relations, PRD Editor’s suggestion (2021).
  • First Demonstration of Early Warning Gravitational-wave Alerts, ApJL (2021).
  • A Machine Learning-based Source Property Inference for Compact Binary Mergers, ApJ (2020).
  • Toward Rate Estimation for Transient Surveys. I. Assessing Transient Detectability and Volume Sensitivity for iPTF, ApJ (2019).

Contributing author papers

  • Applications of Deep Learning to physics workflows (Accelerating Physics with ML@MIT Conference Whitepaper), arXiv.
  • Demonstration of Machine Learning-assisted real-time noise regression in gravitational wave detectors, arXiv.
  • Breaking Bad Degeneracies with Love: Improving gravitational-wave measurements through universal relations, PRD (2023).
  • The Young Supernova Experiment Data Release 1 (YSE DR1): Light Curves and Photometric Classification of 1975 Supernovae, ApJS (2023).
  • The Simulated Catalogue of Optical Transients and Correlated Hosts (SCOTCH), MNRAS (2023).
  • Improved early warning of compact binary mergers using higher modes of gravitational radiation: a population study, MNRAS (2021).
  • Template bank for spinning compact binary mergers in the second observation run of Advanced LIGO and the first observation run of Advanced Virgo, PRD (2021).
  • Of Harbingers and Higher Modes: Improved Gravitational-wave Early Warning of Compact Binary Mergers, ApJL (2020).
  • The GstLAL Search Analysis Methods for Compact Binary Mergers in Advanced LIGO’s Second and Advanced Virgo’s First Observing Runs, arXiv (2019).
  • Optimizing searches for electromagnetic counterparts of gravitational wave triggers, MNRAS (2018).
  • Hunting Electromagnetic Counterparts of Gravitational-wave Events Using the Zwicky Transient Facility, PASP (2017).

Part of writing team in LVK

  • GW190425: Observation of a Compact Binary Coalescence with Total Mass \(\sim 3.4 M_{\odot}\), ApJL (2020).
  • Low-latency Gravitational-wave Alerts for Multimessenger Astronomy during the Second Advanced LIGO and Virgo Observing Run, ApJ (2019).

Notable discovery papers where my work was used

  • Observation of Gravitational Waves from Two Neutron Star–Black Hole Coalescences, ApJL (2021).
  • GW190814: Gravitational Waves from the Coalescence of a 23 Solar Mass Black Hole with a 2.6 Solar Mass Compact Object, ApJL (2020).
  • GW170817: Observation of Gravitational Waves from a Binary Neutron Star Inspiral, PRL (2017).

Observing and computing proposals

I was the PI for a startup allocation titled “Gravity and Light with Artificial Intelligence” for 500 GPU and 5000 CPU core hours on NCSA Delta during Fall 2021.

I am/was part of the following James Webb kilonova follow-up proposals:

  • Nebular Spectroscopy of a Kilonova with JWST, GO 1936 (PI: Charlie Kilpatrick)
  • Nucleosynthesis, Astrophysics, and Cosmology with IR Observations of a Gravitational Wave Counterpart, GO 2061 (PI: Ryan Foley)
  • Detecting the Synthesis of the Heaviest Elements with Photometry of a Kilonova in the Optically Thin Phase, GO 2091 (PI: Maria Drout)