Dr. Shubham Kejriwal

Gravitational-wave (GW) observations with the current network of detectors have unlocked a new window to the universe. In the coming years, the next generation of instruments will come online, allowing more sensitive and longer-duration observation of GW signals from various sources within our galaxy and of extragalactic origin. However, this boost in sensitivity presents new and exciting challenges for the accurate recovery of the source parameters, since our models must now be accurate over longer durations and to higher precision. This is where my research comes in: I am developing statistical and machine learning techniques to robustly and accurately measure the source parameters of GW sources expected to be observed by future missions.

In particular, my research focuses on the robust inference of extreme-mass-ratio inspirals (EMRIs) within the band of the upcoming space-based observatory LISA. Their accurate and precise measurement can set tight constraints on black hole populations, astrophysical environments, and deviations from general relativity itself. I am also assessing their potential link to the dozens of observed low-frequency, soft X-ray band sources known as quasi-periodic eruptions (QPEs) and quasi-periodic oscillations (QPOs), which may enable exciting multimessenger astronomy prospects with EMRIs.

Publications
Here are links to my publications: from INSPIRE, and from the ADS database.