422 citations · 3.6k across the 91 of their papers we have counts for
88 papers
Why the Northern Hemisphere Needs a 30-40m Telescope and the Science at Stake: Ultra-Low-Mass Dwarf Galaxies Across the Boreal Cosmic Web
J. Alfonso L. Aguerri, Jesús Falcón-Barroso, María Argudo-Fernández +22
Dwarf galaxies dominate the galaxy population in the nearby Universe and occupy the regime where feedback, reionization, and environment exert their strongest influence on galaxy f…
Hierarchical Progressive Survey (HiPS) format: moving from visualisation to scientific analysis
Fabrizio Giordano, Yago Ascasibar, Luca Cortese +2
Context. In the current era of multi-wavelength and multi-messenger astronomy, international organisations are actively working on the definition of new standards for the publicati…
Prospects for dark matter observations in dwarf spheroidal galaxies with the Cherenkov Telescope Array Observatory
K. Abe, S. Abe, J. Abhir +491
The dwarf spheroidal galaxies (dSphs) orbiting the Milky Way are widely regarded as systems supported by velocity dispersion against self-gravity, and as prime targets for the sear…
The PyKOALA python library: a multi-instrument package for IFS data reduction
Pablo Corcho-Caballero, Yago Ascasibar, Ángel R. López-Sánchez +8
PyKOALA is an innovative Python-based library designed to provide a robust and flexible framework for Integral Field Spectroscopy (IFS) data reduction. By addressing the complexiti…
Enhanced sub-resolution star formation models in cosmological simulations
Ezequiel Lozano, Cecilia Scannapieco, Sebastián E. Nuza +3
One of the crucial components in simulating the growth and evolution of galaxies within a cosmological framework is the modeling of star formation (SF) and its corresponding feedba…
The Population Synthesis Toolkit (PST) Python library
Pablo Corcho-Caballero, Yago Ascasibar, Daniel Jiménez-López
Stellar population synthesis is a crucial methodology in astrophysics, enabling the interpretation of the integrated light of galaxies and stellar clusters. By combining empirical…