Patricia Iglesias-Navarro

ORCID: 0009-0009-8959-2404
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About
Contact & Profiles
Research Areas
  • Astronomy and Astrophysical Research
  • Galaxies: Formation, Evolution, Phenomena
  • Astrophysical Phenomena and Observations
  • Astronomical Observations and Instrumentation
  • Stellar, planetary, and galactic studies
  • Impact of Light on Environment and Health
  • Adaptive optics and wavefront sensing

Instituto de Astrofísica de Canarias
2021-2024

Universidad de La Laguna
2021-2024

The formation time-scales of quiescent galaxies can be estimated in two different ways, by their star history and chemistry. Previously, both methods yielded conflicting results, especially when considering $\alpha$-enhanced objects. This is primarily due to the time resolution limitations very old stellar populations that prevent us from accurately constraining histories. We analyse JWST observations extremely massive galaxy ZF-UDS-7329 at z$\sim$3.2 show we achieve higher necessary match...

10.48550/arxiv.2501.06050 preprint EN arXiv (Cornell University) 2025-01-10

The formation time scales of quiescent galaxies can be estimated in two different ways: by their star history and chemistry. Previously, the methods yielded conflicting results, especially when considering α-enhanced objects. This is primarily due to resolution limitations very old stellar populations, which prevent accurately constraining histories. We analysed JWST observations extremely massive galaxy ZF-UDS-7329 at z∼3.2 show that higher necessary match chemical using population...

10.1051/0004-6361/202452781 article EN cc-by Astronomy and Astrophysics 2025-01-24

The mission is generating a vast amount of imaging data in four broadband filters at high angular resolution. This will allow for the detailed study mass, metallicity, and stellar populations across galaxies that constrain their formation evolutionary pathways. Transforming large samples into maps physical parameters an efficient reliable manner outstanding challenge. Here, we investigate power reliability machine learning techniques to extract distribution within well-resolved galaxies. We...

10.1051/0004-6361/202453111 article EN Astronomy and Astrophysics 2025-02-10

Abstract We study how mock-observed stellar morphological and structural properties of massive galaxies are built up between z = 0.5 3 in the TNG50 cosmological simulation. generate mock images with CANDELS survey derive Sersic parameters optical rest-frame morphologies as usually done observations. Overall, simulation reproduces observed evolution abundances different galaxy types star-forming quiescent galaxies. The log M* − Re Σ1 relations simulated quenched also match slopes zeropoints...

10.1093/mnras/stab3149 article EN Monthly Notices of the Royal Astronomical Society 2021-11-09

High-resolution galaxy spectra encode information about the stellar populations within galaxies. The properties of stars, such as their ages, masses, and metallicities, provide insights into underlying physical processes that drive growth transformation galaxies over cosmic time. We explore a simulation-based inference (SBI) workflow to infer from optical absorption posterior distributions metallicities star formation histories (SFHs) (i.e. rate function time). generated dataset synthetic...

10.48550/arxiv.2406.18661 preprint EN arXiv (Cornell University) 2024-06-26

High-resolution galaxy spectra encode information about the stellar populations within galaxies. The properties of stars, such as their ages, masses, and metallicities, provide insights into underlying physical processes that drive growth transformation galaxies over cosmic time. We explore a simulation-based inference (SBI) workflow to infer from optical absorption posterior distributions metallicities star formation histories (SFHs) (i.e. rate function time). generated dataset synthetic...

10.1051/0004-6361/202449909 article EN Astronomy and Astrophysics 2024-07-01
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