In this short report we examine the ideal status of the seven-stone antas (a type of very ancient megalithic monument in the southwest of the Iberian Peninsula) as an excellent candidate for a serial nomination within the Astronomy and World Heritage Initiative. This case will be compared with an extraordinary set of dolmens at the other side of

A search for new physics is performed using events that contain one or more jets, no isolated leptons, and a large transverse momentum imbalance, as measured through the M T2 variable, which is an extension of the transverse mass in events with two invisible particles. The results are based on a sample of proton-proton collisions collected at a

Context. For over 12 yr, we have carried out a precise radial velocity (RV) survey of a sample of 373 G- and K-giant stars using the Hamilton Échelle Spectrograph at the Lick Observatory. There are, among others, a number of multiple planetary systems in our sample as well as several planetary candidates in stellar binaries. Aims: We aim at

Searches for new physics by the CMS collaboration are interpreted in the framework of the phenomenological minimal supersymmetric standard model (pMSSM). The data samples used in this study were collected at √{s}=7 and 8 TeV and have integrated luminosities of 5.0 fb-1 and 19.5 fb-1, respectively. A global Bayesian analysis is performed

The OSIRIS (Optical System for Imaging and Low-Intermediate Resolution Integrated Spectroscopy) instrument at the 10.4 m GTC has offered a multi-object spectroscopic mode since March 2014. In this paper we describe the detailed process of designing a MOS mask for OSIRIS by using the Mask Designer Tool, and give some numbers on the accuracy of the

Aims: We present an innovative artificial neural network (ANN) architecture, called Generative ANN (GANN), that computes the forward model, that is it learns the function that relates the unknown outputs (stellar atmospheric parameters, in this case) to the given inputs (spectra). Such a model can be integrated in a Bayesian framework to estimate