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researcher

S. Krishna

4 papers hereh-index 211 citations7 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • astro-ph.CO2
  • astro-ph.GA1
  • astro-ph.IM1
same name
  • S. Krishna — 3 papers, h 4
  • S. Krishna — 2 papers, h 0
  • S. Krishna — 2 papers, h 3
  • S. Krishna — 2 papers, h 0
  • S. Krishna — 1 paper, h 0
  • S. Krishna — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

astro-ph.CO2025

Deep learning approach for identification of HII regions during reionization in 21-cm observations -- III. image recovery

Michele Bianco, Sambit. K. Giri, Rohit Sharma +7

The low-frequency component of the upcoming Square Kilometre Array Observatory (SKA-Low) will be sensitive enough to construct 3D tomographic images of the 21-cm signal distributio…

astro-ph.CO2025

Primary Beam Chromaticity in HIRAX: I. Characterization from Simulations and Power Spectrum Implications

Ajith Sampath, Devin Crichton, Kavilan Moodley +15

The Hydrogen Intensity and Real-time Analysis eXperiment (HIRAX) is an upcoming radio interferometric telescope designed to constrain dark energy through the 21cm intensity mapping…

astro-ph.IM2024

BIPP: An efficient HPC implementation of the Bluebild algorithm for radio astronomy

Emma Tolley, Simon Frasch, Etienne Orliac +6

The Bluebild algorithm is a new technique for image synthesis in radio astronomy which decomposes the sky into distinct energy levels using functional principal component analysis.…

astro-ph.GA2024

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation

Ashutosh K. Mishra, Emma Tolley, Shreyam Parth Krishna +1

Detecting diffuse radio emission, such as from halos, in galaxy clusters is crucial for understanding large-scale structure formation in the universe. Traditional methods, which re…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.