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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Formation et évolution des galaxies en cosmologie : modèles semi-analytiques et simulations hydrodynamiques / Formation and evolution of the galaxies in cosmology : semi-analytic models and hydrodynamical simulations

Tollet, Edouard 08 October 2018 (has links)
Une galaxie est un système complexe au sens où, autant des phénomènes se produisant à l'échelle du milieu interstellaire, comme des explosions de supernovæ ou l'activité d'un trou noir supermassif, que des interactions entre galaxies au sein de groupes ou d'amas, comme l'effeuillage par effet de marée ou par effet de bélier, influencent et conditionnent l'évolution de la galaxie dans son ensemble. Comme les processus œuvrant dans de tels systèmes font intervenir une gamme d'échelle de temps et de distance considérable, allant de l'étoile individuelle aux amas de galaxies tout entier, leur modélisation constitue un immense défi qui ne peut être relevé ni par une approche purement analytique ni par l'entremise de techniques exclusivement numériques.Cette thèse, à l'interface entre modèles semi-analytique et analyse de simulations numériques, se concentre sur l'étude de l'effeuillage des étoiles des galaxies satellites par effet de marée et sur les rétro-actions induites par les supernovæ.Ce manuscrit présente, d'une part, un modèle d'occupation des halos permettant de contraindre la masse d'étoiles perdue par les galaxies satellites depuis leur entrée dans leur groupe ou leur amas ainsi qu'un modèle d'effeuillage impulsif prédisant la masse stellaire arrachée aux satellites. Ce dernier est confronté, par le truchement du modèle d'occupation des halos, aux observations des fonctions de masses des groupes et des amas.Il expose, d'autre part, l'étude des rétro-actions des supernovæ implémenté dans les simulations numériques du projet NIHAO, conduite en séparant en différentes composantes le gaz des simulations et en comptabilisant les échanges entre ces dernières, laquelle a permis de mettre en évidence trois processus distincts par le biais desquels les supernovæ réduisent ou suppriment la formation stellaire.Enfin, il détaille les améliorations techniques et scientifiques apportées au modèle semi-analytique GalICS. / A galaxy is a complex system since as many phenomena take place at the scale of the interstellar medium, such as supernovae explosions or the activity of supermassive black holes, as interactions between galaxies within groups or clusters, such as tidal or ram pressure stripping, affect and condition the evolution of the galaxy itself as a whole. Because the processes acting in such systems involve a considerable range of times and distances, going from individual stars to entire clusters of galaxies, they modelling constitutes an immense challenge that cannot be met neither by a purely analytical approach nor by solely numerical technics.This thesis, being at the interface between semi-analytical models and the analysis of numerical simulations, focuses on the study of star stripping in satellite galaxies by tidal effects and on the supernovae induced feedback.This manuscript presents, on one hand, an halo occupation model that allows to constrain the stellar mass lost by satellite galaxies since they entered their group or their cluster, and a model of impulsive stripping that predicts the stellar mass ripped out of satellites. The latter is compared, through the halo occupation model, to the observed mass functions of groups and clusters.It exposes, on the other hand, the study of the supernovae feedback implemented in the numerical simulations of the NIHAO project, performed separating the simulated gas into different components and counting the exchanges that take place between them. This allowed for the highlighting of three distinct processes through which supernovae reduce or suppress their star formation.
2

Simulations numériques de collisions de vents dans les systèmes binaires / Numerical simulations of colliding winds in binary systems

Lamberts-Marcade, Astrid 14 September 2012 (has links)
L'objectif de cette thèse est de comprendre la structure des binaires gamma, binaires à collision de vents composées d'une étoile massive et d'un pulsar jeune. Ces binaires possèdent probablement une structure similaire aux binaires à collision de vents composées de deux étoiles massives, avec des particularités liées à la nature relativiste du vent de pulsar. L'interaction de deux vents supersoniques d'étoiles massives crée une structure choquée qui présente des signatures observationnelles du domaine radio aux rayons X. Plusieurs instabilités ainsi que le mouvement orbital des étoiles influent sur la structure choquée. Afin de comprendre leur impact, j'ai effectué des simulations à haute résolution de binaires à collision de vents à l'aide du code hydrodynamique RAMSES. Ces simulations sont numériquement coûteuses à réaliser, surtout lorsque un des vents domine fortement l'autre. A petite échelle, les simulations soulignent l'importance de l'instabilité de couche mince non-linéaire dans les collisions isothermes alors que l'instabilité de Kelvin-Helmholtz peut fortement modifier la structure choquée dans une collision adiabatique. A plus grande échelle, cette instabilité peut parfois détruire la structure spirale à laquelle on s'attend si la différence de vitesse entre les vents est trop importante. WR 104 est une binaire dont on observe la structure spirale grâce à l'émission de poussières. Les simulations de ce système montrent un bon accord avec la structure observée et indiquent que des processus de refroidissement du gaz sont nécessaires à la formation de poussières. Pour modéliser les vents de pulsar dans les binaires gamma, RAMSES a été étendu à l'hydrodynamique relativiste. J'utilise ce nouveau code pour réaliser des simulations préliminaires de binaires gamma. Elles montrent effectivement une structure similaire aux binaires stellaires, avec de légères corrections relativistes . Ce code est adapté à l'étude de divers systèmes astrophysiques tels que les jets relativistes, les sursauts gamma ou les nébuleuses de pulsar et fera partie de la prochaine version de RAMSES qui sera rendue publique. / The aim of this thesis is to understand the structure of colliding wind binaries composed of a massive star and a young pulsar, called gamma-ray binaries. They are expected to display a similar structure to colliding wind binaries composed of massive stars, with some particularities due to the relativistic nature of the pulsar wind. The interaction of the supersonic winds from massive stars creates a shocked structure with observational signatures from the radio domain to the X-rays. The structure is affected by various instabilities and by the orbital motion of the stars. To understand their impact, I carried out high resolution simulations of colliding wind binaries with the hydrodynamical code RAMSES. They are computationally demanding, especially when one of the winds strongly dominates the other one. Small scale simulations highlight the importance of the Non-linear Thin Shell Instability in isothermal collisions while the Kelvin-Helmholtz instability may strongly impact the dynamics of adiabatic collisions. I found that, at larger scales, this instability can destroy the expected large scale spiral structure when there is an important velocity gradient between the winds. WR 104 is a system that displays a spiral structure with important dust emission. The simulation of this system shows a good agreement with the observed structure and indicates cooling processes are necessary to enable dust formation. To model the pulsar wind in gamma-ray binaries, an extension of RAMSES has been developed, that incorporates relativistic hydrodynamics. I used this new relativistic code to perform preliminary simulations of gamma-ray binaries. They display a similar structure to colliding wind binaries with small relativistic corrections. We expect to use this code to perform large scale simulations of gamma-ray binaries. It will be part of the next public release of RAMSES and is suited for the study of many astrophysical problems such as relativistic jets, pulsar wind nebulae or gamma-ray bursts.
3

Influência da formação estelar versus buracos negros de nucleos ativos de galaxias (AGN) na evolução de ventos galácticos / Star Formation versus Active Galactic Nuclei (AGN) Black Hole feedback in the Evolution of Galaxy Outflows

Bohórquez, William Eduardo Clavijo 10 August 2018 (has links)
Ventos (em inglês outflows) de ampla abertura e larga escala sâo uma característica comum em galáxias ativas, como as galáxias Seyfert. Em sistemas como este, onde buracos negros supermassivos (em inglês super massive black holes, SMBHs) de núcleos galácticos ativos de galáxias (em inglês active galactic nuclei, AGN) coexistem com regiões de formação estelar (em inglês star forming, SF), nâo está claro das observações se o AGN SMBH ou o SF (ou ambos) são responsaveis pela indução desses ventos. Neste trabalho, estudamos como ambos podem influenciar a evolução da galáxia hospedeira e seus outflows, considerando galáxias tipo Seyfert nas escalas de kilo-parsec (kpc). Para este objetivo, estendemos o trabalho anterior desenvolvido por Melioli & de Gouveia Dal Pino (2015), que considerou ventos puramente hidrodinâmicos impulsionados tanto pela SF quanto pelo AGN, mas levando em conta para este último apenas ventos bem estreitos (colimados). A fim de obter uma melhor compreensão da influencia (feedback) desses mecanismos sobre a evolução da galáxia e seus outflows, incluímos também os efeitos de ventos de AGN com maior ângulo de abertura, já que ventos em forma de cone podem melhorar a interação com o meio interestelar da galáxia e assim, empurrar mais gás nos outflows. Além disso, incluímos também os efeitos dos campos magnéticos no vento, já que estes podem, potencialmente, ajudar a preservar as estruturas e acelerar os outflows. Realizamos simulações tridimensionais magneto-hidrodinâmicas (MHD) considerando o resfriamento radiativo em equilíbrio de ionização e os efeitos dos ventos do AGN com dois diferentes ângulos de abertura (0º e 10º) e razões entre a pressão térmica e a pressão magnética beta=infinito, = 300 e 30, correspondentes a campos magnéticos 0, 0,76 micro-Gauss e 2,4 micro-Gauss respectivamente. Os resultados de nossas simulações mostram que os ventos impulsionados pelos produtos de SF (isto é, pelas explosões de supernovas, SNe) podem direcionar ventos com velocidades 100-1000 km s¹, taxas de perda de massa da ordem de 50 Massas solares/ano, densidades de ~1-10 cm-3 e temperaturas entre 10 e 10 K, que se assemelham às propriedades dos denominados absorvedores de calor (em inglês warm absorbers, WAs) e também são compatíveis com as velocidades dos outflows moleculares observadas. No entanto, as densidades obtidas nas simulações são muito pequenas e as temperaturas são muito grandes para explicar os valores observados nos outflows moleculares (que têm n ~150-300 cm³ e T<1000 K). Ventos colimados de AGN (sem a presença de ventos SF) também são incapazes de conduzir outflows, mas podem acelerar estruturas a velocidades muito altas, da ordem de ~10.000 km s¹ e temperaturas T> 10 K, tal como observado em ventos ultra rapidos (em inglês, ultra-fast outflows, UFOs). A introdução do vento de AGN, particularmente com um grande ângulo de abertura, causa a formação de estruturas semelhantes a fontes galácticas. Isso faz com que parte do gás em expansão (que está sendo empurrado pelo vento de SF) retorne para a galáxia, produzindo um feedback \'positivo\' na evolução da galáxia hospedeira. Descobrimos que esses efeitos são mais pronunciados na presença de campos magnéticos, devido à ação de forças magnéticas extras pelo vento AGN, o qual intensifica o efeito de retorno do gás (fallback), e ao mesmo tempo reduz a taxa de perda de massa nos outflows por fatores de até 10. Além disso, a presença de um vento de AGN colimado (0º) causa uma remoção significativa da massa do núcleo da galáxia em poucos 100.000 anos, mas este é logo reabastecido pelo de gás acretante proveniente do meio interestelar (ISM) à medida que as explosões de SNe se sucedem. Por outro lado, um vento de AGN com um grande ângulo de abertura, em presença de campos magnéticos, remove o gás nuclear inteiramente em alguns 100.000 anos e não permite o reabastecimento posterior pelo ISM. Portanto, extingue a acreção de combustível e de massa no SMBH. Isso indica que o ciclo de trabalho desses outflows é de cerca de alguns 100.000 anos, compatível com as escalas de tempo inferidas para os UFOs e outflows moleculares observados. Em resumo, os modelos que incluem ventos de AGN com um ângulo de abertura maior e campos magnéticos, levam a velocidades médias muito maiores que os modelos sem vento de AGN, e também permitem que mais gás seja acelerado para velocidades máximas em torno de ~10 km s¹, com densidades e temperaturas compatíveis com aquelas observadas em UFOs. No entanto, as estruturas com velocidades intermediárias de vários ~100 km s¹ e densidades até uns poucos 100 cm³, que de fato poderiam reproduzir os outflows moleculares observados, têm temperaturas que são muito grandes para explicar as características observadas nos outflows moleculares, que tem temperaturas T< 1000 K. Além disso, estes ventos de AGN não colimados em presença de campos magnéticos entre T< 1000 K. Alem disso, estes grandes ventos AGN de angulo de abertura em fluxos magnetizados reduzem as taxas de perda de massa dos outflows para valores menores que aqueles observados tanto em outflows moleculares quanto em UFOs. Em trabalhos futuros, pretendemos estender o espaço paramétrico aqui investigado e também incluir novos ingredientes em nossos modelos, como o resfriamento radioativo fora do equilíbrio, a fim de tentar reproduzir as características acima que não foram explicadas pelo modelo atual. / Large-scale broad outflows are a common feature in active galaxies, like Seyfert galaxies. In systems like this, where supermassive black hole (SMBH) active galactic nuclei (AGN) coexist with star-forming (SF) regions it is unclear from the observations if the SMBH AGN or the SF (or both) are driving these outflows. In this work, we have studied how both may influence the evolution of the host galaxy and its outflows, considering Seyfert-like galaxies at kilo-parsec (kpc) scales. For this aim, we have extended previous work developed by Melioli & de Gouveia Dal Pino (2015), who considered purely hydrodynamical outflows driven by both SF and AGN, but considering for the latter only very narrow (collimated) winds. In order to achieve a better understanding of the feedback of these mechanisms on the galaxy evolution and its outflows, here we have included the effects of AGN winds with a larger opening angle too, since conic-shaped winds can improve the interaction with the interstellar medium of the galaxy and thus push more gas into the outflows. Besides, we have also included the effects of magnetic fields in the flow, since these can potentially help to preserve the structures and speed up the outflows. We have performed three-dimensional magneto-hydrodynamical (MHD) simulations considering equilibrium radiative cooling and the effects of AGN-winds with two different opening angles (0º and 10º), and thermal pressure to magnetic pressure ratios of beta=infinite, 300 and 30 corresponding to magnetic fields 0, 0.76 micro-Gauss and 2.4 micro-Gauss, respectively. The results of our simulations show that the winds driven by the products of SF (i.e., by explosions of supernovae, SNe) alone can drive outflows with velocities ~100-1000 km s¹, mass outflow rates of the order of 50 Solar Masses yr¹, densities of ~1-10 cm³, and temperatures between 10 and 10 K, which resemble the properties of warm absorbers (WAs) and are also compatible with the velocities of the observed molecular outflows. However, the obtained densities from the simulations are too small and the temperatures too large to explain the observed values in molecular outflows (which have n ~ 150-300 cm³ and T<1000 K). Collimated AGN winds alone (without the presence of SF-winds) are also unable to drive hese outflows, but they can accelerate structures to very high speeds, of the order of ~ 10.000 km s¹, and temperatures T> 10 K as observed in ultra-fast outflows (UFOs). The introduction of an AGN wind, particularly with a large opening angle, causes the formation of fountain-like structures. This makes part of the expanding gas (pushed by the SF-wind) to fallback into the galaxy producing a \'positive\' feedback on the host galaxy evolution. We have found that these effects are more pronounced in presence of magnetic fields, due to the action of extra magnetic forces by the AGN wind producing enhanced fallback that reduces the mass loss rate in the outflows by factors up to 10. Furthermore, the presence of a collimated AGN wind (0º) causes a significant removal of mass from the core region in a few 100.000 yr, but this is soon replenished by gas inflow from the interstellar medium (ISM) when the SNe explosions fully develop. On the other hand, an AGN wind with a large opening angle in presence of magnetic fields is able to remove the nuclear gas entirely within a few 100.000 yr and does not allow for later replenishment. Therefore, it quenches the fueling and mass accretion onto the SMBH. This indicates that the duty cycle of these outflows is around a few 100.000 yr, compatible with the time-scales inferred for the observed UFOs and molecular outflows. In summary, models that include AGN winds with a larger opening angle and magnetic fields, lead to to be accelerated to maximum velocities around 10 km s¹ (than models with collimated AGN winds), with densities and temperatures which are compatible with those observed in UFOs. However, the structures with intermediate velocities of several ~100 km s¹ and densities up to a few 100 cm3, that in fact could reproduce the observed molecular outflows, have temperatures which are too large to explain the observed molecular features, which have temperatures T<1000 K. Besides, these large opening angle AGN winds in magnetized flows reduce the mass loss rates of the outflows to values smaller than those observed both in molecular outflows and UFOs. In future work, we intend to extend the parametric space here investigated and also include new ingredients in our models, such as non-equilibrium radiative cooling, in order to try to reproduce the features above that were not explained by the current model.
4

Influência da formação estelar versus buracos negros de nucleos ativos de galaxias (AGN) na evolução de ventos galácticos / Star Formation versus Active Galactic Nuclei (AGN) Black Hole feedback in the Evolution of Galaxy Outflows

William Eduardo Clavijo Bohórquez 10 August 2018 (has links)
Ventos (em inglês outflows) de ampla abertura e larga escala sâo uma característica comum em galáxias ativas, como as galáxias Seyfert. Em sistemas como este, onde buracos negros supermassivos (em inglês super massive black holes, SMBHs) de núcleos galácticos ativos de galáxias (em inglês active galactic nuclei, AGN) coexistem com regiões de formação estelar (em inglês star forming, SF), nâo está claro das observações se o AGN SMBH ou o SF (ou ambos) são responsaveis pela indução desses ventos. Neste trabalho, estudamos como ambos podem influenciar a evolução da galáxia hospedeira e seus outflows, considerando galáxias tipo Seyfert nas escalas de kilo-parsec (kpc). Para este objetivo, estendemos o trabalho anterior desenvolvido por Melioli & de Gouveia Dal Pino (2015), que considerou ventos puramente hidrodinâmicos impulsionados tanto pela SF quanto pelo AGN, mas levando em conta para este último apenas ventos bem estreitos (colimados). A fim de obter uma melhor compreensão da influencia (feedback) desses mecanismos sobre a evolução da galáxia e seus outflows, incluímos também os efeitos de ventos de AGN com maior ângulo de abertura, já que ventos em forma de cone podem melhorar a interação com o meio interestelar da galáxia e assim, empurrar mais gás nos outflows. Além disso, incluímos também os efeitos dos campos magnéticos no vento, já que estes podem, potencialmente, ajudar a preservar as estruturas e acelerar os outflows. Realizamos simulações tridimensionais magneto-hidrodinâmicas (MHD) considerando o resfriamento radiativo em equilíbrio de ionização e os efeitos dos ventos do AGN com dois diferentes ângulos de abertura (0º e 10º) e razões entre a pressão térmica e a pressão magnética beta=infinito, = 300 e 30, correspondentes a campos magnéticos 0, 0,76 micro-Gauss e 2,4 micro-Gauss respectivamente. Os resultados de nossas simulações mostram que os ventos impulsionados pelos produtos de SF (isto é, pelas explosões de supernovas, SNe) podem direcionar ventos com velocidades 100-1000 km s¹, taxas de perda de massa da ordem de 50 Massas solares/ano, densidades de ~1-10 cm-3 e temperaturas entre 10 e 10 K, que se assemelham às propriedades dos denominados absorvedores de calor (em inglês warm absorbers, WAs) e também são compatíveis com as velocidades dos outflows moleculares observadas. No entanto, as densidades obtidas nas simulações são muito pequenas e as temperaturas são muito grandes para explicar os valores observados nos outflows moleculares (que têm n ~150-300 cm³ e T<1000 K). Ventos colimados de AGN (sem a presença de ventos SF) também são incapazes de conduzir outflows, mas podem acelerar estruturas a velocidades muito altas, da ordem de ~10.000 km s¹ e temperaturas T> 10 K, tal como observado em ventos ultra rapidos (em inglês, ultra-fast outflows, UFOs). A introdução do vento de AGN, particularmente com um grande ângulo de abertura, causa a formação de estruturas semelhantes a fontes galácticas. Isso faz com que parte do gás em expansão (que está sendo empurrado pelo vento de SF) retorne para a galáxia, produzindo um feedback \'positivo\' na evolução da galáxia hospedeira. Descobrimos que esses efeitos são mais pronunciados na presença de campos magnéticos, devido à ação de forças magnéticas extras pelo vento AGN, o qual intensifica o efeito de retorno do gás (fallback), e ao mesmo tempo reduz a taxa de perda de massa nos outflows por fatores de até 10. Além disso, a presença de um vento de AGN colimado (0º) causa uma remoção significativa da massa do núcleo da galáxia em poucos 100.000 anos, mas este é logo reabastecido pelo de gás acretante proveniente do meio interestelar (ISM) à medida que as explosões de SNe se sucedem. Por outro lado, um vento de AGN com um grande ângulo de abertura, em presença de campos magnéticos, remove o gás nuclear inteiramente em alguns 100.000 anos e não permite o reabastecimento posterior pelo ISM. Portanto, extingue a acreção de combustível e de massa no SMBH. Isso indica que o ciclo de trabalho desses outflows é de cerca de alguns 100.000 anos, compatível com as escalas de tempo inferidas para os UFOs e outflows moleculares observados. Em resumo, os modelos que incluem ventos de AGN com um ângulo de abertura maior e campos magnéticos, levam a velocidades médias muito maiores que os modelos sem vento de AGN, e também permitem que mais gás seja acelerado para velocidades máximas em torno de ~10 km s¹, com densidades e temperaturas compatíveis com aquelas observadas em UFOs. No entanto, as estruturas com velocidades intermediárias de vários ~100 km s¹ e densidades até uns poucos 100 cm³, que de fato poderiam reproduzir os outflows moleculares observados, têm temperaturas que são muito grandes para explicar as características observadas nos outflows moleculares, que tem temperaturas T< 1000 K. Além disso, estes ventos de AGN não colimados em presença de campos magnéticos entre T< 1000 K. Alem disso, estes grandes ventos AGN de angulo de abertura em fluxos magnetizados reduzem as taxas de perda de massa dos outflows para valores menores que aqueles observados tanto em outflows moleculares quanto em UFOs. Em trabalhos futuros, pretendemos estender o espaço paramétrico aqui investigado e também incluir novos ingredientes em nossos modelos, como o resfriamento radioativo fora do equilíbrio, a fim de tentar reproduzir as características acima que não foram explicadas pelo modelo atual. / Large-scale broad outflows are a common feature in active galaxies, like Seyfert galaxies. In systems like this, where supermassive black hole (SMBH) active galactic nuclei (AGN) coexist with star-forming (SF) regions it is unclear from the observations if the SMBH AGN or the SF (or both) are driving these outflows. In this work, we have studied how both may influence the evolution of the host galaxy and its outflows, considering Seyfert-like galaxies at kilo-parsec (kpc) scales. For this aim, we have extended previous work developed by Melioli & de Gouveia Dal Pino (2015), who considered purely hydrodynamical outflows driven by both SF and AGN, but considering for the latter only very narrow (collimated) winds. In order to achieve a better understanding of the feedback of these mechanisms on the galaxy evolution and its outflows, here we have included the effects of AGN winds with a larger opening angle too, since conic-shaped winds can improve the interaction with the interstellar medium of the galaxy and thus push more gas into the outflows. Besides, we have also included the effects of magnetic fields in the flow, since these can potentially help to preserve the structures and speed up the outflows. We have performed three-dimensional magneto-hydrodynamical (MHD) simulations considering equilibrium radiative cooling and the effects of AGN-winds with two different opening angles (0º and 10º), and thermal pressure to magnetic pressure ratios of beta=infinite, 300 and 30 corresponding to magnetic fields 0, 0.76 micro-Gauss and 2.4 micro-Gauss, respectively. The results of our simulations show that the winds driven by the products of SF (i.e., by explosions of supernovae, SNe) alone can drive outflows with velocities ~100-1000 km s¹, mass outflow rates of the order of 50 Solar Masses yr¹, densities of ~1-10 cm³, and temperatures between 10 and 10 K, which resemble the properties of warm absorbers (WAs) and are also compatible with the velocities of the observed molecular outflows. However, the obtained densities from the simulations are too small and the temperatures too large to explain the observed values in molecular outflows (which have n ~ 150-300 cm³ and T<1000 K). Collimated AGN winds alone (without the presence of SF-winds) are also unable to drive hese outflows, but they can accelerate structures to very high speeds, of the order of ~ 10.000 km s¹, and temperatures T> 10 K as observed in ultra-fast outflows (UFOs). The introduction of an AGN wind, particularly with a large opening angle, causes the formation of fountain-like structures. This makes part of the expanding gas (pushed by the SF-wind) to fallback into the galaxy producing a \'positive\' feedback on the host galaxy evolution. We have found that these effects are more pronounced in presence of magnetic fields, due to the action of extra magnetic forces by the AGN wind producing enhanced fallback that reduces the mass loss rate in the outflows by factors up to 10. Furthermore, the presence of a collimated AGN wind (0º) causes a significant removal of mass from the core region in a few 100.000 yr, but this is soon replenished by gas inflow from the interstellar medium (ISM) when the SNe explosions fully develop. On the other hand, an AGN wind with a large opening angle in presence of magnetic fields is able to remove the nuclear gas entirely within a few 100.000 yr and does not allow for later replenishment. Therefore, it quenches the fueling and mass accretion onto the SMBH. This indicates that the duty cycle of these outflows is around a few 100.000 yr, compatible with the time-scales inferred for the observed UFOs and molecular outflows. In summary, models that include AGN winds with a larger opening angle and magnetic fields, lead to to be accelerated to maximum velocities around 10 km s¹ (than models with collimated AGN winds), with densities and temperatures which are compatible with those observed in UFOs. However, the structures with intermediate velocities of several ~100 km s¹ and densities up to a few 100 cm3, that in fact could reproduce the observed molecular outflows, have temperatures which are too large to explain the observed molecular features, which have temperatures T<1000 K. Besides, these large opening angle AGN winds in magnetized flows reduce the mass loss rates of the outflows to values smaller than those observed both in molecular outflows and UFOs. In future work, we intend to extend the parametric space here investigated and also include new ingredients in our models, such as non-equilibrium radiative cooling, in order to try to reproduce the features above that were not explained by the current model.
5

Mesurer la masse de trous noirs supermassifs à l’aide de l’apprentissage automatique

Chemaly, David 07 1900 (has links)
Des percées récentes ont été faites dans l’étude des trous noirs supermassifs (SMBH), grâce en grande partie à l’équipe du télescope de l’horizon des évènements (EHT). Cependant, déterminer la masse de ces entités colossales à des décalages vers le rouge élevés reste un défi de taille pour les astronomes. Il existe diverses méthodes directes et indirectes pour mesurer la masse de SMBHs. La méthode directe la plus précise consiste à résoudre la cinématique du gaz moléculaire, un traceur froid, dans la sphère d’influence (SOI) du SMBH. La SOI est définie comme la région où le potentiel gravitationnel du SMBH domine sur celui de la galaxie hôte. Par contre, puisque la masse d’un SMBH est négligeable face à la masse d’une galaxie, la SOI est, d’un point de vue astronomique, très petite, typiquement de quelques dizaines de parsecs. Par conséquent, il faut une très haute résolution spatiale pour étudier la SOI d’un SMBH et pouvoir adéquatement mesurer sa masse. C’est cette nécessité d’une haute résolution spatiale qui limite la mesure de masse de SMBHs à de plus grandes distances. Pour briser cette barrière, il nous faut donc trouver une manière d’améliorer la résolution spatiale d’objets observés à un plus au décalage vers le rouge. Le phénomène des lentilles gravitationnelles fortes survient lorsqu’une source lumineuse en arrière-plan se trouve alignée avec un objet massif en avant-plan, le long de la ligne de visée d’un observateur. Cette disposition a pour conséquence de distordre l’image observée de la source en arrière-plan. Puisque cette distorsion est inconnue et non-linéaire, l’analyse de la source devient nettement plus complexe. Cependant, ce phénomène a également pour effet d’étirer, d’agrandir et d’amplifier l’image de la source, permettant ainsi de reconstituer la source avec une résolution spatiale considérablement améliorée, compte tenu de sa distance initiale par rapport à l’observateur. L’objectif de ce projet consiste à développer une chaîne de simulations visant à étudier la faisabilité de la mesure de la masse d’un trou noir supermassif (SMBH) par cinéma- tique du gaz moléculaire à un décalage vers le rouge plus élevé, en utilisant l’apprentissage automatique pour tirer parti du grossissement généré par la distorsion d’une forte lentille gravitationnelle. Pour ce faire, nous générons de manière réaliste des observations du gaz moléculaire obtenues par le Grand Réseau d’Antennes Millimétrique/Submillimétrique de l’Atacama (ALMA). Ces données sont produites à partir de la suite de simulations hydrody- namiques Rétroaction dans des Environnements Réalistes (FIRE). Dans chaque simulation, l’effet cinématique du SMBH est intégré, en supposant le gaz moléculaire virialisé. Ensuite, le flux d’émission du gaz moléculaire est calculé en fonction de sa vitesse, température, densité, fraction de H2, décalage vers le rouge et taille dans le ciel. Le cube ALMA est généré en tenant compte de la résolution spatiale et spectrale, qui dépendent du nombre d’antennes, de leur configuration et du temps d’exposition. Finalement, l’effet de la forte lentille gravi- tationnelle est introduit par la rétro-propagation du faisceau lumineux en fonction du profil de masse de l’ellipsoïde isotherme singulière (SIE). L’exploitation de ces données ALMA simulées est testée dans le cadre d’un problème de régression directe. Nous entraînons un réseau de neurones à convolution (CNN) à apprendre à prédire la masse d’un SMBH à partir des données simulées, sans prendre en compte l’effet de la lentille. Le réseau prédit la masse du SMBH ainsi que son incertitude, en supposant une distribution a posteriori gaussienne. Les résultats sont convaincants : plus la masse du SMBH est grande, plus la prédiction du réseau est précise et exacte. Tout comme avec les méthodes conventionnelles, le réseau est uniquement capable de prédire la masse du SMBH tant que la résolution spatiale des données permet de résoudre la SOI. De plus, les cartes de saillance du réseau confirment que celui-ci utilise l’information contenue dans la SOI pour prédire la masse du SMBH. Dans les travaux à venir, l’effet des lentilles gravitationnelles fortes sera introduit dans les données pour évaluer s’il devient possible de mesurer la masse de ces mêmes SMBHs, mais à un décalage vers le rouge plus élevé. / Recent breakthroughs have been made in the study of supermassive black holes (SMBHs), thanks largely to the Event Horizon Telescope (EHT) team. However, determining the mass of these colossal entities at high redshifts remains a major challenge for astronomers. There are various direct and indirect methods for measuring the mass of SMBHs. The most accurate direct method involves resolving the kinematics of the molecular gas, a cold tracer, in the SMBH’s sphere of influence (SOI). The SOI is defined as the region where the gravitational potential of the SMBH dominates that of the host galaxy. However, since the mass of a SMBH is negligible compared to the mass of a galaxy, the SOI is, from an astronomical point of view, very small, typically a few tens of parsecs. As a result, very high spatial resolution is required to study the SOI of a SMBH and adequately measure its mass. It is this need for high spatial resolution that limits mass measurements of SMBHs at larger distances. To break this barrier, we need to find a way to improve the spatial resolution of objects observed at higher redshifts. The phenomenon of strong gravitational lensing occurs when a light source in the back- ground is aligned with a massive object in the foreground, along an observer’s line of sight. This arrangement distorts the observed image of the background source. Since this distor- tion is unknown and non-linear, analysis of the source becomes considerably more complex. However, this phenomenon also has the effect of stretching, enlarging and amplifying the image of the source, enabling the source to be reconstructed with considerably improved spatial resolution, given its initial distance from the observer. The aim of this project is to develop a chain of simulations to study the feasibility of measuring the mass of a supermassive black hole (SMBH) by kinematics of molecular gas at higher redshift, using machine learning to take advantage of the magnification generated by the distortion of a strong gravitational lens. To this end, we realistically generate observations of molecular gas obtained by the Atacama Large Millimeter/Submillimeter Antenna Array (ALMA). These data are generated from the Feedback in Realistic Environments (FIRE) suite of hydrodynamic simulations. In each simulation, the kinematic effect of the SMBH is integrated, assuming virialized molecular gas. Next, the emission flux of the molecular gas is calculated as a function of its velocity, temperature, density, H2 fraction, redshift and sky size. The ALMA cube is generated taking into account spatial and spectral resolution, which depend on the number of antennas, their configuration and exposure time. Finally, the effect of strong gravitational lensing is introduced by back-propagating the light beam according to the mass profile of the singular isothermal ellipsoid (SIE). The exploitation of these simulated ALMA data is tested in a direct regression problem. We train a convolution neural network (CNN) to learn to predict the mass of an SMBH from the simulated data, without taking into account the effect of the lens. The network predicts the mass of the SMBH as well as its uncertainty, assuming a Gaussian a posteriori distribution. The results are convincing: the greater the mass of the SMBH, the more precise and accurate the network’s prediction. As with conventional methods, the network is only able to predict the mass of the SMBH as long as the spatial resolution of the data allows the SOI to be resolved. Furthermore, the network’s saliency maps confirm that it uses the information contained in the SOI to predict the mass of the SMBH. In future work, the effect of strong gravitational lensing will be introduced into the data to assess whether it becomes possible to measure the mass of these same SMBHs, but at a higher redshift.

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