Hello, I am

Viraj Karambelkar


A PhD Candidate in Astrophysics at Caltech
viraj [at] astro.caltech.edu

About me

I am a PhD student in the Astrophysics Department at the California Institute of Technology.
My field of research is time-domain and multi-messenger astronomy - the study of our dynamic sky.

I am currently studying unusual cosmic explosions, stars that show unusual variations in their brightness and hunting for light from gravitational waves.

I use robotic telescopes that survey the sky at the visual and infrared wavelengths to look for such stars and explosions. Once identified, I use some of the largest telescopes in the world to study them in more detail. I also work on developing software to enable discoveries of such phenomena. My PhD advisor is Prof. Mansi Kasliwal .

My publications

Here is a complete list of my refereed publications, and here is a list of publications where I am the first-author or have major contributions.

Media / Outreach

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Astrobites

I was an astrobites author for two years! Check out my articles here.
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Star eats planet!

Our paper on a star engulfing a planet made it to the NY Times cover!
Some more articles featuring me here and here.
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Dimmest supernova ever!

A New Scientist article featuring me talking about the dimmest supernova discovered to date.
A Youtube video of me talking about this supernova.
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Mentorship

So far, I have mentored three awesome undergraduate students - Kayton Truong (2021), Sulekha Kishore (2022) and Aswin Suresh (2023) for summer research projects as part of the Caltech Summer Undergrad Research Fellowship program.
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Astronomy Public Outreach

I enjoy volunteering at astronomy outreach events in and around Pasadena. My favorites include Astronomy on Tap, curbside stargazing sessions, public lectures and stargazing nights at Caltech.

Research Description

For my work, I make use of all three time-domain surveys that operate out of the Palomar Observatory -

  1. The Zwicky Transient Facility (ZTF)
    The ZTF camera is mounted on a 1.2m telescope, has a whopping field-of-view (FOV) of 47 sq. deg. and has been surveying the entire northern sky every couple days since 2018 in the g,r,i bands to a depth of 20.5 mag.

  2. Palomar Gattini IR (PGIR)
    PGIR is a 30 cm. J-band detector with a 25 sq. deg. FOV and has been surveying the northern sky at a few day cadence to a depth of J = 15 mag since 2019.

  3. The Wide-field Infrared Transient Explorer (WINTER)
    WINTER is a new IR surveyor on a 1 m telescope with a 1 sq. deg. FOV. WINTER had first light in June 2023 and will conduct a time-domain survey of the northern sky to J = 20 mag. Developing the data processing pipeline for WINTER is a major part of my thesis.

I use these surveys to work on the following scientific areas :-

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Electromagnetic followup of gravitational waves
I work with ZTF and WINTER teams to follow-up gravitational wave alerts detected by the LIGO collaboration to search for their electromagnetic counterparts - the elusive kilonovae.
ZTF's large FOV is well-suited to search for the fast-fading kilonovae associated with binary neutron star or neutron star-black hole mergers. ZTF conducted GW followup campaigns during LIGO-O3 (paper), and will continue to do so during the LIGO's ongoing O4 observing run.

WINTER's NIR sensitivity is well-suited to search for kilonovae, as they are expected to be brighter and longer-lasting at infrared wavelengths. Using realistic GW simulations, we found that WINTER is capable of efficiently searching for kilonovae during LIGO O4 (paper).
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Stellar Mergers and Common-Envelope Evolution
Luminous Red Novae (LRNe) are transients associated with the final stages of common-envelope evolution in stellar binaries - a stellar merger or common-envelope ejection. LRNe have low intrinsic luminosities, making them observationally rare.

I use a systematic, volume-limited survey of transients discovered by ZTF to search for LRNe and study their demographics. With ZTF, we constructed the first systematic sample of LRNe and constrained their rates and luminosity function (paper).

I am now searching for LRNe using WINTER, to uncover the dustiest stellar mergers that are being missed by optical telescopes like ZTF. I also led an approved program on JWST to conduct mid-IR observations of LRNe during Cycle 2 to study their dust properties.
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R-Coronae-Borealis stars - Remnants of low-mass white-dwarf mergers
The remnants of low-mass white dwarf (WD) mergers are expected to spend a significant part of their lives as puffed-up supergiant stars. R-Coronae Borealis (RCB) stars are an enigmatic class of supergiants that have chemical compositions consistent with being WD merger remnants. Adding to their mystery, RCB stars show rapid brightness declines due to dust-formation around them.

I am conducting a systematic infrared search for RCB stars using the PGIR. I use PGIR infrared lightcurves of millions of stars to identify those showing RCB-like erratic variations in their lightcurves. I then use NIR spectroscopy to confirm their nature (paper). I also use the spectra to study the chemical abundances of RCB stars (paper).
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Low luminosity type Iax supernovae


Type Iax supernovae (SNe Iax) are a peculiar class of thermonuclear supernovae, that are thought to be the result of the partial deflagration of a white dwarf (WD) accreting from a companion. There is a sub-population of SNe Iax that are intrinsically fainter than the rest and cannot be explained by the standard WD deflagration model.

With ZTF, we discovered the lowest luminosity SN Iax to date, SN 2021fcg (paper). This SN had a peak absolute magnitude of a mere -12.5 mag and could not be explained by the standard WD deflagration model. A promising alternative model was the merger of an ONe WD with a CO WD.

I am now accumulating a systematic sample of low luminosity SNe Iax using ZTF. I also led a successful HST proposal to observe SN 2021fcg to search for its remnant, and constrain its progenitor system.
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Data processing pipelines for time-domain surveys


I co-created mirar (Modular Image Reduction and Analysis Resource) - an open-source python package for processing and analyzing images from time-domain surveys. The modular and flexible design of mirar allows for reducing images and detecting transients by performing image subtraction on images from any optical/infrared telescope. Originally built to process WINTER data, mirar is now being used to process data from four other telescopes.