In August 2006 a new planetary transit was discovered from data from the TrES network. The discovery was confirmed using radial velocity curves obtained with the Keck and characterised with light curves in different filters obtained using two telescopes at the Observatorio del Teide: "IAC80" and "TELAST" (the first result of scientific interest obtained from the latter). The planet discovered, TrES-2, is more massive and somewhat larger than its quasi-homonym TrES-1 (the first exoplanet discovered using the transit method), and follows the expected patterns for this type of object. Its main importance is that it is the first object discovered in the area of observation of the future Kepler satellite, which will be able to track it in a degree of detail never before achieved.
Advertised on
It may interest you
-
The properties of blue supergiants are key for constraining the end of the main sequence phase, a phase during which massive stars spend most of their lifetimes. The lack of fast-rotating stars below 21.000K, a temperature around which stellar winds change in behaviour, has been proposed to be caused by enhanced mass-loss rates, which would spin down the star. Alternatively, the lack of fast-rotating stars may be the result of stars reaching the end of the main sequence. Here, we combine newly derived estimates of photospheric and wind parameters, wind terminal velocities from the literatureAdvertised on
-
The formation and evolution of the disk of our Galaxy, the Milky Way, remains an enigma in astronomy. In particular, the relationship between the thick disk and the thin disk —two key components of the Milky Way— is still unclear. Understanding the chemical and dynamical properties of the stars within these disks is crucial, especially in the parameter spaces where their characteristics overlap, such the metallicity regime around [Fe/H] ~ -0.7, which marks the metal-poor end of the thin disk, higher than that of the thick disk. This is often interpreted as an indication that the thin diskAdvertised on
-
Light bridges are elongated and bright structures protruding into the umbra of sunspots. The presence of light bridges has a significant role in the evolution of sunspots and the heating of their overlying atmosphere. Therefore, investigating these structures is crucial to understanding fundamental aspects of sunspots. By applying a novel code based on deep-learning algorithms called SICON to spectropolarimetric observations acquired with the Hinode satellite, we computed atmospheric parameters that allowed us to infer the variation of the physical properties of light bridges on a geometricAdvertised on