◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Omar Ulises Reyes-Amador

3 papers hereh-index 110 citations4 works total

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

author position
  • first author2
  • middle author1

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

fields
  • astro-ph.GA2
  • astro-ph.IM1

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedELLIPSECT: A surface brightness analysis tool for GALFIT 3

1 citations · 1 across the 1 of their papers we have counts for

collaborators

3 papers

astro-ph.IM2026★ 1 cited

ELLIPSECT: A surface brightness analysis tool for GALFIT 3

Christopher Añorve, Omar Ulises Reyes-Amador, Emmanuel Ríos-López +2

EllipSect is a user-friendly analysis and measurement tool, implemented in Python, that operates on the imaging data together with the output of the widely used 2D surface-brightne…

astro-ph.GA2025

Towards an observationally motivated AGN dusty torus model -- II. The roles of density distribution and chemical composition of the dust

Omar Ulises Reyes-Amador, Omaira González-Martín, Jacopo Fritz +5

Several models of nuclear dust in active galactic nuclei (AGN) have been presented in the literature to determine its physical and geometrical properties, usually assuming the dust…

astro-ph.GA2024

Towards an observationally motivated AGN dusty torus model. I. Dust chemical composition from the modeling of Spitzer spectra

Omar Ulises Reyes-Amador, Jacopo Fritz, Omaira González-Martín +7

Spectral energy distribution (SED) fitting is one of most commonly used techniques to study the dust properties in Active Galactic Nuclei (AGN). Works implementing this technique c…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.