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researcher

M. Aguena

16 papers here

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

author position
  • middle author2

Across the 2 of 16 papers where every author was matched, so the position is known.

fields
  • astro-ph.CO13
  • astro-ph.GA2
  • astro-ph.SR1
ORCID 0000-0001-5679-6747
same name
  • M. Aguena — 68 papers
  • M. Aguena — 1 paper
  • M. Aguena — 1 paper
  • M. Aguena — 1 paper
  • M. Aguena — 1 paper

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

activity
20212024
most citedA galaxy-driven model of type Ia supernova luminosity variations

41 citations · 140 across the 16 of their papers we have counts for

collaborators

4 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.CO2021★ 14 cited

DeepZipper: A Novel Deep Learning Architecture for Lensed Supernovae Identification

Robert Morgan, B. Nord, K. Bechtol +48

Large-scale astronomical surveys have the potential to capture data on large numbers of strongly gravitationally lensed supernovae (LSNe). To facilitate timely analysis and spectro…

astro-ph.CO2021★ 7 cited

CLMM: a LSST-DESC Cluster weak Lensing Mass Modeling library for cosmology

M. Aguena, C. Avestruz, C. Combet +22

We present the v1.0 release of CLMM, an open source Python library for the estimation of the weak lensing masses of clusters of galaxies. CLMM is designed as a standalone toolkit o…

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