Año de inicio
2006
Unidad organizativa
Institución organizadora
Subvenciones relacionadas:
General
Descripción
Bienvenida a la página web del grupo de investigación Traces of Galaxy Formation.
Somos un grupo de investigación amplio, diverso y muy activo cuyo objetivo principal es entender la formación de galaxias en el Universo de una manera lo más completa posible. Con el estudio detellado de las poblaciones estelares como bandera, estamos constantemente buscando y desarrollando nuevas herramientas e ideas que nos permitan entender cómo las galaxias han llegado a convertirse en lo que hoy observamos.
Una historia de formación compleja, como la que se espera describa la evolución de las galaxias, necesita de un acercamiento multidisciplinar para ser entendida. Nuestro grupo en el IAC está compuesto por personal investigador de gran experiencia en simulaciones cosmológicas, estudios dinámicos, análisis de poblaciones estelares y caracterizaciones morfológicas de galaxias tanto locales como a alto corrimiento al rojo. Combinamos distintas alternativas (e.g. observaciones y teoría o procesos de evolución secular y cosmológica) para poder alcanzar en los próximos años una visión consistente de los mecanismos físicos que regulan la formación de las galaxias.
Dentro de este esquema general, estamos principalmente centrados en el estudio de tres líneas centrales:
- Modelos de síntesis de poblaciones estelares
- Desarrollo de modelos de poblaciones estelares
- Métodos de análisis para el estudio de poblaciones estelares
- Universalidad de la función inicial de masa (IMF)
- Evolución cósmica de galaxias
- Evolución de galaxias masivas
- Poblaciones estelares en distintos entornos
- Ciencia a bajo brillo superficial
- Simulaciones númericas y aprendizaje automático
- Procesos evolutivos en galaxias cercanas
- Agujeros negros como moduladores de la formación estelar
- Cartogrtafiados locales
- Cinemática estelar y modelos dinámicos
Si quieres ponerte en contacto o trabajar con el grupo, por favor, envía un correo al investigador principal (Ignacio Martín-Navarro ignacio.martin [at] iac.es (ignacio[dot]martin[at]iac[dot]es)).
Miembros
Investigador principal
Ignacio
Martín Navarro
Personal del proyecto
Ignacio
Trujillo Cabrera
Alexandre
Vazdekis Vazdekis
Ignacio Alfonso
Ferreras Páez
Jesús
Falcón Barroso
Marc
Huertas-Portocarrero Company
Adriana de
Lorenzo-Cáceres Rodríguez
Anna
Ferré Mateu
Mireia
Montes Quiles
Regina
Sarmiento
Iveth Adaena
Gaspar Gorostieta
Eirini
Angeloudi
Giulia
Golini
Laura Elizabeth
Scholz Díaz
Pablo
Rodríguez Beltrán
Resultados
Esta es una muestra de algunos de nuestros resultados destacados más recientes:
- Local variations of the stellar velocity ellipsoid - II. The effect of the bar in the inner regions of Auriga galaxies. Walo et al. 2022, MNRAS (https://ui.adsabs.harvard.edu/abs/2022MNRAS.513.4587W)
- Anisotropic satellite galaxy quenching modulated by black hole activity. Martín-Navarro et al. 2021, Nature (https://ui.adsabs.harvard.edu/abs/2021Natur.594..187M)
- Evaluating hydrodynamical simulations with green valley galaxies. Angthopo et al. 2021, MNRAS (https://ui.adsabs.harvard.edu/abs/2021MNRAS.502.3685A)
- Sub one per cent mass fractions of young stars in red massive galaxies. Salvador-Rusiñol et al. 2020, Nature Astronomy (https://ui.adsabs.harvard.edu/abs/2020NatAs...4..252S)
- Detection of young stellar populations in apparently quenched low-mass galaxies using red spectral line indices. de Lorenzo-Cáceres et al. 2020, MNRAS (https://ui.adsabs.harvard.edu/abs/2020MNRAS.498.1002D)
Actividad científica
Publicaciones relacionadas
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sMILES: a library of semi-empirical MILES stellar spectra with variable [α/Fe] abundancesWe present a new library of semi-empirical stellar spectra that is based on the empirical Medium resolution Isaac Newton Library of Empirical Spectra (MILES) library. A new, high-resolution library of theoretical stellar spectra is generated that is specifically designed for use in stellar population studies. We test these models across their fullKnowles, Adam T. et al.
Fecha de publicación:
62021 -
Numerical simulations of dark matter haloes produce polytropic central cores when reaching thermodynamic equilibriumSelf-gravitating astronomical objects often show a central plateau in the density profile (core) whose physical origin is hotly debated. Cores are theoretically expected in N-body systems of maximum entropy, however, they are not present in the canonical N-body numerical simulations of cold dark matter (CDM). Our work shows that despite thisSánchez Almeida, Jorge et al.
Fecha de publicación:
62021 -
Fingerprints of stellar populations in the near-infrared: an optimized set of spectral indices in the JHK bands 0Stellar population studies provide unique clues to constrain galaxy formation models. So far, detailed studies based on absorption line strengths have mainly focused on the optical spectral range although many diagnostic features are present in other spectral windows. In particular, the near-infrared (NIR) can provide a wealth of information aboutEftekhari, Elham et al.
Fecha de publicación:
62021 -
Beyond the hubble sequence - exploring galaxy morphology with unsupervised machine learningWe explore unsupervised machine learning for galaxy morphology analyses using a combination of feature extraction with a vector-quantized variational autoencoder (VQ-VAE) and hierarchical clustering (HC). We propose a new methodology that includes: (1) consideration of the clustering performance simultaneously when learning features from images; (2Cheng, Ting-Yun et al.
Fecha de publicación:
52021 -
Investigating the projected phase space of Gaussian and non-Gaussian clustersBy way of the projected phase space (PPS), we investigate the relation between galaxy properties and cluster environment in a subsample of groups from the Yang catalogue. The sample is split according to the Gaussianity of the velocity distribution in the group into Gaussian (G) and non-Gaussian (NG). Our sample is limited to massive clusters withSampaio, V. M. et al.
Fecha de publicación:
52021 -
The Fornax3D project: Assembly histories of lenticular galaxies from a combined dynamical and population orbital analysisIn order to assess the impact of the environment on the formation and evolution of galaxies, accurate assembly histories of such galaxies are needed. However, these measurements are observationally difficult owing to the diversity of formation paths that lead to the same present-day state of a galaxy. In this work, we apply a powerful new techniquePoci, A. et al.
Fecha de publicación:
32021 -
The number of globular clusters around the iconic UDG DF44 is as expected for dwarf galaxiesThere is a growing consensus that the vast majority of ultradiffuse galaxies (UDGs) are dwarf galaxies. However, there remain a few UDGs that seem to be special in terms of their globular cluster (GC) systems. In particular, according to some authors, certain UDGs exhibit large GC populations when compared to expectations from their stellar (orSaifollahi, Teymoor et al.
Fecha de publicación:
42021 -
Evaluating hydrodynamical simulations with green valley galaxiesWe test cosmological hydrodynamical simulations of galaxy formation regarding the properties of the blue cloud (BC), green valley (GV), and red sequence (RS), as measured on the 4000Å break strength versus stellar mass plane at z = 0.1. We analyse the RefL0100N1504 run of EAGLE and the TNG100 run of IllustrisTNG project, by comparing them with theAngthopo, J. et al.
Fecha de publicación:
42021 -
BAYES-LOSVD: A Bayesian framework for non-parametric extraction of the line-of-sight velocity distribution of galaxiesWe introduce BAYES-LOSVD, a novel implementation of the non-parametric extraction of line-of-sight velocity distributions (LOSVDs) in galaxies. We employed Bayesian inference to obtain robust LOSVDs and associated uncertainties. Our method relies on a principal component analysis to reduce the dimensionality on the set of templates required for theFalcón-Barroso, J. et al.
Fecha de publicación:
22021 -
Constraining stellar population parameters from narrow band photometric surveys using convolutional neural networksUpcoming large-area narrow band photometric surveys, such as Javalambre Physics of the Accelerating Universe Astrophysical Survey (J-PAS), will enable us to observe a large number of galaxies simultaneously and efficiently. However, it will be challenging to analyse the spatially resolved stellar populations of galaxies from such big data toLiew-Cain, Choong Ling et al.
Fecha de publicación:
32021 -
Galaxies within galaxies in the TIMER survey: stellar populations of inner bars are scaled replicas of main barsInner bars are frequent structures in the local Universe and thought to substantially influence the nuclear regions of disc galaxies. In this study we explore the structure and dynamics of inner bars by deriving maps and radial profiles of their mean stellar population content and comparing them to previous findings in the context of main bars. ToBittner, Adrian et al.
Fecha de publicación:
22021 -
The nature of giant clumps in high-z discs: a deep-learning comparison of simulations and observationsWe use deep learning to explore the nature of observed giant clumps in high-redshift disc galaxies, based on their identification and classification in cosmological simulations. Simulated clumps are detected using the 3D gas and stellar densities in the VELA zoom-in cosmological simulation suite, with ${\sim}25\ \rm {pc}$ maximum resolutionGinzburg, Omri et al.
Fecha de publicación:
22021 -
A deep learning approach to test the small-scale galaxy morphology and its relationship with star formation activity in hydrodynamical simulationsHydrodynamical simulations of galaxy formation and evolution attempt to fully model the physics that shapes galaxies. The agreement between the morphology of simulated and real galaxies, and the way the morphological types are distributed across galaxy scaling relations are important probes of our knowledge of galaxy formation physics. Here, weZanisi, Lorenzo et al.
Fecha de publicación:
32021 -
The kinematics of young and old stellar populations in nuclear rings of MUSE TIMER galaxiesContext. Studying the stellar kinematics of galaxies is a key tool in the reconstruction of their evolution. However, the current measurements of the stellar kinematics are complicated by several factors, including dust extinction and the presence of multiple stellar populations. Aims: We use integral field spectroscopic data of four galaxies fromRosado-Belza, D. et al.
Fecha de publicación:
122020 -
Galactic cirri in deep optical imagingThe ubiquitous presence of Galactic cirri in deep optical images represents a major obstacle to study the low surface brightness features of extragalactic sources. To address this issue, we have explored the optical properties of cirri using g, r, i, and z bands in the Sloan Digital Sky Survey (SDSS) Stripe82 region. Using state-of-the-art, customRomán, Javier et al.
Fecha de publicación:
122020 -
The Galaxy "Missing Dark Matter" NGC 1052-DF4 is Undergoing Tidal DisruptionThe existence of long-lived galaxies lacking dark matter represents a challenge to our understanding of how galaxies form. Here, we present evidence that explains the lack of dark matter in one such galaxy: NGC 1052-DF4. Deep optical imaging of the system has detected tidal tails in this object caused by its interaction with its neighboring galaxyMontes, Mireia et al.
Fecha de publicación:
122020 -
Detecting outliers in astronomical images with deep generative networksWith the advent of future big-data surveys, automated tools for unsupervised discovery are becoming ever more necessary. In this work, we explore the ability of deep generative networks for detecting outliers in astronomical imaging data sets. The main advantage of such generative models is that they are able to learn complex representationsMargalef-Bentabol, Berta et al.
Fecha de publicación:
62020 -
Stellar masses of giant clumps in CANDELS and simulated galaxies using machine learningA significant fraction of high redshift star-forming disc galaxies are known to host giant clumps, whose nature and role in galaxy evolution are yet to be understood. In this work, we first present a new method based on neural networks to detect clumps in galaxy images. We use this method to detect clumps in the rest-frame optical and UV images ofHuertas-Company, Marc et al.
Fecha de publicación:
92020 -
Inside-out formation of nuclear discs and the absence of old central spheroids in barred galaxies of the TIMER surveyThe centres of disc galaxies host a variety of structures built via both internal and external processes. In this study, we constrain the formation and evolution of these central structures, in particular, nuclear rings and nuclear discs, by deriving maps of mean stellar ages, metallicities, and [α/Fe] abundances. We use observations obtained withBittner, Adrian et al.
Fecha de publicación:
112020 -
Kinematic signatures of nuclear discs and bar-driven secular evolution in nearby galaxies of the MUSE TIMER projectThe central regions of disc galaxies hold clues to the processes that dominate their formation and evolution. To exploit this, the TIMER project has obtained high signal-to-noise and spatial resolution integral-field spectroscopy data of the inner few kpc of 21 nearby massive barred galaxies, which allows studies of the stellar kinematics in theirGadotti, Dimitri A. et al.
Fecha de publicación:
112020
![Izquierda - Imagen RGB de la nebulosa de Orión y M43 obtenida filtros estrechos con la cámara WFC en el INT: H alfa (rojo), [S II] 6716+30 (verde), [O III] 5007 (azul). Derecha - Imagen en falso color de la nebulosa planetaria NGC 6778. En azul se ve la emisión en la línea de O II tomada con el filtro sintonizable azul del instrumento OSIRIS en el GTC; en verde imagen con el filtro estrecho de [O III] del Nordic Optical Telescope (NOT).](/sites/default/files/styles/crop_square_2_2_to_320px/public/images/project/imagen_web.jpg?itok=fsBmV9CO "Izquierda - Imagen RGB de la nebulosa de Orión y M43 obtenida filtros estrechos con la cámara WFC en el INT: H alfa (rojo), [S II] 6716+30 (verde), [O III] 5007 (azul). Derecha - Imagen en falso color de la nebulosa planetaria NGC 6778. En azul se ve la emisión en la línea de O II tomada con el filtro sintonizable azul del instrumento OSIRIS en el GTC; en verde imagen con el filtro estrecho de [O III] del Nordic Optical Telescope (NOT).")