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Dr. Pranjal Rajendra Singh

Photo of Pranjal Rajendra Singh

Address:

4800 Oak Grove Drive

Pasadena, CA 91109

Curriculum Vitae:

Click here

Member of:

Cosmology

JPL Postdoc

Biography

Pranjal is broadly interested in probing the large-scale structure of the Universe using a combination of simulations, analytical modeling and multi-probe observations.

Education

  • 2019 - Current University of Arizona PhD candidate in Astronomy Tucson, AZ.
  • 2015-2019 Indian Institute of Technology Bombay Bachelor of Technology in Engineering Physics (with Honors) Mumbai, India

Research Interests

Weak lensing, large-scale structure, multi-probe analysis, baryonic effects.

Selected Awards

TAP Travel Award 2024- Theoretical Astrophysics Program, University of Arizona

University of Arizona - CNRS PhD Fellowship 2021-2024

University of Arizona-Newton-Bhabha Fund Summer 2018

Selected Publications

  1. Pranjal R. S., Shivam Pandey, et al. (2025). Testing halo models for constraining astrophysical feedback with

multi-probe modeling: I. 3D Power spectra and mass fractions arXiv:2507.13317

2. Pranjal R. S., Elisabeth Krause, et al. (2024). Impact of cosmology dependence of baryonic feedback in weak lensing

arXiv:2410.21980, Accepted in JCAP

3. Pranjal R. S., Eric Huff, et al. (2025). Kinematic Lensing Inference II: Cluster Lensing with O(1) Galaxies MNRAS,

540,2877 (2025)

4. Pranjal R. S., Elisabeth Krause, et al. (2023). Kinematic Lensing Inference I: Characterizing Shape Noise with

Simulated Analyses MNRAS, 524, 3324 (2023

5. Pranjal R. S., Dennis Zaritsky, et al. (2019). Ultra-diffuse Galaxies at UltravioletWavelengths The Astronomical

Journal, 157, 212 (2019)

Contributing Author

  1. Kritti Sharma, Elisabeth Krause, Vikram Ravi, Robert Reischke, Pranjal R. S., et al. (2024). A hydrodynamical

simulations-based model that connects the FRB DM–redshift relation to suppression of the matter power spectrum

via feedback arXiv:2504.18745

2. Emma Ayçoberry, Pranjal R. S., et al. (2024). Testing the thermal Sunyaev-Zel’dovich power spectrum of a halo

model using hydrodynamical simulations arXiv:2409.11472, Submitted to Astronomy & Astrophysics

3. Xiao Fang, Elisabeth Krause, Time Eifler, Simone Ferraro, Karim Benabed, Pranjal R. S., et al. (2024). Cosmology

from weak lensing, galaxy clustering, CMB lensing, and tSZ - I. 10 × 2pt modelling methodology MNRAS 527, 9581

(2024)

4. Jennifer Kadowaki, Dennis Zaritsky, R. L. Donnerstein, Pranjal R. S., et al. (2021). On the Properties of

Spectroscopically Confirmed Ultra-diffuse Galaxies across Environments The Astrophysical Journal 923, 257 (2021)

5. V. Gayathri, Dixeena Lopez, Pranjal R. S., et al. (2020). Enhancing the sensitivity of transient gravitational wave

searches with Gaussian mixture models Physical Review D 102, 104023 (2020)

Co-author

  1. Yu-Hsiu Huang, Elisabeth Krause, et al. (Pranjal R. S. 5 of 6) (2024). Astrophysical systematics in kinematic lensing:

Quantifying an intrinsic alignment analog Physical Review D 110, 043509

2. Jiachuan Xu, Tim Eifler, et al. (Pranjal R. S. 7 of 8) (2024). Kinematic Lensing with the Dark Energy Spectroscopic

Instrument – Probing structure formation at very low redshift arXiv:2407.20867, Submitted to Physical Review D

3. Jiachuan Xu, Tim Eifler, et al. (Pranjal R. S. 4 of 7) (2023). Kinematic lensing with the Roman Space Telescope

MNRAS 519, 2535 (2023)