Cosmology in an accelerated universe: observations and phenomenology

En las últimas décadas la cosmología ha experimentado notables avances como consecuencia del desarrollo de nuevos experimentos que nos han abastecido con precisos datos observacionales. La calidad de estos datos ha permitido construir una imagen global del universo actual; un universo acelerado compuesto principalmente por materia oscura (23%) distinta a la materia ordinaria (5%), y energía oscura (70%), la componente del universo que contrarresta el efecto gravitatorio y explica la expansión acelerada de éste. Con la existencia de estas dos principales componentes se puede explicar la situación actual del universo y los fenómenos que tienen lugar en él. Sin embargo, su naturaleza es todavía un misterio, por lo que nos encontramos ante un largo y apasionante camino que recorrer.Es en este contexto donde se enmarca el trabajo presentado en esta tesis, cuyo principal objetivo es ir más allá y obtener algunas pistas nuevas sobre la naturaleza de la energía oscura. Las investigaciones llevadas a cabo durante esta tesis tratan de hacer frente a este sector ¿oscuro" desde varias perspectivas, combinando la teoría y el análisis de datos astronómicos.Como primer acercamiento, en el capítulo 2 se propone un nuevo modelo para unificar el sector ¿oscuro¿: materia y energía oscura. En los capítulos 3 y 4 se aborda el problema de la energía oscura desde una nueva perspectiva y se presentan unas nuevas parametrizaciones de la ecuación de estado de la energía oscura. Por último, en el capítulo 5, a través de los datos del fondo cósmico de microondas, se da un paso más allá en física de las épocas tempranas del universo, y se obtienen restricciones sobre el exceso de densidad de radiación observado. Por otra parte, se da una explicación a este fenómeno: se atribuye este exceso al fondo cósmico de ondas gravitacionales primordiales producido por las cuerdas cósmicas, bajo condiciones adiabáticas.

An Optical Fiber Bundle Sensor for Tip Clearance and Tip Timing Measurements in a Turbine Rig

When it comes to measuring blade-tip clearance or blade-tip timing in turbines, reflective intensity-modulated optical fiber sensors overcome several traditional limitations of capacitive, inductive or discharging probe sensors. This paper presents the signals and results corresponding to the third stage of a multistage turbine rig, obtained from a transonic wind-tunnel test. The probe is based on a trifurcated bundle of optical fibers that is mounted on the turbine casing. To eliminate the influence of light source intensity variations and blade surface reflectivity, the sensing principle is based on the quotient of the voltages obtained from the two receiving bundle legs. A discrepancy lower than 3% with respect to a commercial sensor was observed in tip clearance measurements. Regarding tip timing measurements, the travel wave spectrum was obtained, which provides the average vibration amplitude for all blades at a particular nodal diameter. With this approach, both blade-tip timing and tip clearance measurements can be carried out simultaneously. The results obtained on the test turbine rig demonstrate the suitability and reliability of the type of sensor used, and suggest the possibility of performing these measurements in real turbines under real working conditions.

Endogenous Timing in Pollution Control: Stackelberg versus Cournot-Nash Equilibria

27 p.

Effects of Spring Temperatures on the Strength of Selection on Timing of Reproduction in a Long-Distance Migratory Bird

Climate change has differentially affected the timing of seasonal events for interacting trophic levels, and this has often led to increased selection on seasonal timing. Yet, the environmental variables driving this selection have rarely been identified, limiting our ability to predict future ecological impacts of climate change. Using a dataset spanning 31 years from a natural population of pied flycatchers (Ficedula hypoleuca), we show that directional selection on timing of reproduction intensified in the first two decades (1980-2000) but weakened during the last decade (2001-2010). Against expectation, this pattern could not be explained by the temporal variation in the phenological mismatch with food abundance. We therefore explored an alternative hypothesis that selection on timing was affected by conditions individuals experience when arriving in spring at the breeding grounds: arriving early in cold conditions may reduce survival. First, we show that in female recruits, spring arrival date in the first breeding year correlates positively with hatch date; hence, early-hatched individuals experience colder conditions at arrival than late-hatched individuals. Second, we show that when temperatures at arrival in the recruitment year were high, early-hatched young had a higher recruitment probability than when temperatures were low. We interpret this as a potential cost of arriving early in colder years, and climate warming may have reduced this cost. We thus show that higher temperatures in the arrival year of recruits were associated with stronger selection for early reproduction in the years these birds were born. As arrival temperatures in the beginning of the study increased, but recently declined again, directional selection on timing of reproduction showed a nonlinear change. We demonstrate that environmental conditions with a lag of up to two years can alter selection on phenological traits in natural populations, something that has important implications for our understanding of how climate can alter patterns of selection in natural populations.