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researcher

T N Varga

3 papers here

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

author position
  • middle author1

Across the 1 of 3 papers where every author was matched, so the position is known.

fields
  • astro-ph.GA2
  • astro-ph.CO1
ORCID 0000-0001-5126-4178

identity via Semantic Scholar / OpenAlex

activity
20202022
most citedA machine learning approach to galaxy properties: joint redshift-stellar mass probability distributions with Random Forest

46 citations · 125 across the 3 of their papers we have counts for

collaborators

3 papers

astro-ph.GA2022★ 41 cited

A galaxy-driven model of type Ia supernova luminosity variations

P. Wiseman, M. Vincenzi, M. Sullivan +59

Type Ia supernovae (SNe Ia) are used as standardisable candles to measure cosmological distances, but differences remain in their corrected luminosities which display a magnitude s…

astro-ph.CO2021★ 38 cited

The DES view of the Eridanus supervoid and the CMB Cold Spot

A. Kovács, N. Jeffrey, M. Gatti +119

The Cold Spot is a puzzling large-scale feature in the Cosmic Microwave Background temperature maps and its origin has been subject to active debate. As an important foreground str…

astro-ph.GA2020★ 46 cited

A machine learning approach to galaxy properties: joint redshift-stellar mass probability distributions with Random Forest

S. Mucesh, W. G. Hartley, A. Palmese +72

We demonstrate that highly accurate joint redshift-stellar mass probability distribution functions (PDFs) can be obtained using the Random Forest (RF) machine learning (ML) algorit…

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