Number conserving particle-hole RPA for superfluid nuclei

TheAuthor(s) - .Published by Elsevier B.V. "This is an open access article under the CCBY license (http://creativecommons.org/licenses/by/4.0/).Funded by SCOAP"We present a number conserving particle-hole RPA theory for collective excitations in the transition from normal to superfluid nuclei. The method derives from an RPA theory developed long ago in quantum chemistry using antisymmetric geminal powers, or equivalently number projected HFB states, as reference states. We show within a minimal model of pairing plus monopole interactions that the number conserving particle-hole RPA excitations evolve smoothly across the superfluid phase transition close to the exact results, contrary to particle-hole RPA in the normal phase and quasiparticle RPA in the superfluid phase that require a change of basis at the broken symmetry point. The new formalism can be applied in a straightforward manner to study particle-hole excitations on top of a number projected HFB state.Consejería de Economía, Conocimiento, Empresas y Universidad de la Junta de Andalucía (Spain) FQM-160 and FQM-370Fondo Europeo de Desarrollo Regional (ERDF), ref. SOMM17/6105/UGRMinisterio de Ciencia, Innovación y Universidades and the ERDF under Projects No. FIS2015-63770-P, FIS2017-88410-P and PGC2018-094180-B-I00CEAFMC and Universidad de Huelva High Performance Computer (HPC@UHU) funded by FEDER/MINECO project UNHU-15CE-284

Number conserving particle-hole RPA for superfluid nuclei

TheAuthor(s) - .Published by Elsevier B.V. "This is an open access article under the CCBY license (http://creativecommons.org/licenses/by/4.0/).Funded by SCOAP"We present a number conserving particle-hole RPA theory for collective excitations in the transition from normal to superfluid nuclei. The method derives from an RPA theory developed long ago in quantum chemistry using antisymmetric geminal powers, or equivalently number projected HFB states, as reference states. We show within a minimal model of pairing plus monopole interactions that the number conserving particle-hole RPA excitations evolve smoothly across the superfluid phase transition close to the exact results, contrary to particle-hole RPA in the normal phase and quasiparticle RPA in the superfluid phase that require a change of basis at the broken symmetry point. The new formalism can be applied in a straightforward manner to study particle-hole excitations on top of a number projected HFB state.Consejería de Economía, Conocimiento, Empresas y Universidad de la Junta de Andalucía (Spain) FQM-160 and FQM-370Fondo Europeo de Desarrollo Regional (ERDF), ref. SOMM17/6105/UGRMinisterio de Ciencia, Innovación y Universidades and the ERDF under Projects No. FIS2015-63770-P, FIS2017-88410-P and PGC2018-094180-B-I00CEAFMC and Universidad de Huelva High Performance Computer (HPC@UHU) funded by FEDER/MINECO project UNHU-15CE-284

Connection between decoherence and excited state quantum phase transitions

In this work we explore the relationship between an excited state quantum phase transition (ESQPT) and the phenomenon of quantum decoherence. For this purpose, we study how the decoherence is affected by the presence of a continuous ESQPT in the environment. This one is modeled as a two level boson system described by a Lipkin Hamiltonian. We will show that the decoherence of the system is maximal when the environment undergoes a continuous ESQPT

A digital quantum simulation of the Agassi model

This work was partially supported by the Consejería de Trans-formación Económica, Industria, Conocimiento y Universidades de la Junta de Andalucía (Spain) and ERDF under Groups FQM-160, FQM-177, and FQM-370, and under projects P20-00617, P20-00764, P20-01247, UHU-1262561, and US-1380840; by grants PGC2018-095113-B-I00, PID2019-104002GB-C21, PID2019-104002GB-C22, and PID2020-114687GB-I00 funded by MCIN/AEI/10.13039/50110001103 and “ERDF A way of making Europe” and by ERDF, ref. SOMM17/6105/UGR. Resources supporting this work were pro-vided by the CEAFMC and Universidad de Huelva High Performance Computer (HPC@UHU) funded by ERDF/MINECO project UNHU-15CE-2848.A digital quantum simulation of the Agassi model from nuclear physics is proposed and analyzed. The proposal is worked out for the case with four different sites. Numerical simulations and analytical estimations are presented to illustrate the feasibility of this proposal with current technology. The proposed approach is fully scalable to a larger number of sites. The use of a quantum correlation function as a probe to explore the quantum phases by quantum simulating the time dynamics, with no need of computing the ground state, is also studied. Evidence is given showing that the amplitude of the time dynamics of a correlation function in this quantum simulation is linked to the different quantum phases of the system. This approach establishes an avenue for the digital quantum simulation of useful models in nuclear physics.Consejería de Trans-formación Económica, Industria, Conocimiento y Universidades de la Junta de Andalucía (Spain) and ERDF under Groups FQM-160, FQM-177, and FQM-370, and under projects P20-00617, P20-00764, P20-01247, UHU-1262561, and US-1380840PGC2018-095113-B-I00, PID2019-104002GB-C21, PID2019-104002GB-C22, and PID2020-114687GB-I00 funded by MCIN/AEI/10.13039/50110001103“ERDF A way of making Europe” and by ERDF, ref. SOMM17/6105/UGRCEAFMCUniversidad de Huelva High Performance Computer (HPC@UHU) funded by ERDF/MINECO project UNHU-15CE-284

Consolidation of an EV Project Based Learning program integrated within a complete Bachelor Engineering Degree

Proyecto docente para el aprendizaje de competencias fundamentales de la ingeniería a través del aprendizaje basado en un proyecto multianual y multidisciplinar coordinado sobre las asignaturas troncales de este tipo de grados. Los resultados obtenidos son del tipo docente, funcionales y científicos que han permitido fabricar varios modelos de vehículos eléctricos ligeros con los que se ha acudido a competiciones internacionales.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Transcriptomics of ammonium nutrition in the conifer Pinus pinaster Aiton

Nitrogen is an important element for all living beings because it is part of macromolecules as significant as nucleic acids or amino acids. For plants, it constitutes a limiting factor in their growth and development1 due to their low natural availability in soils thus limiting primary production in ecosystems2. Conifers are a group of gymnosperm plants that form large forest extensions of vegetation, being the main constituents of forests in boreal ecosystems3 where ammonium is the main source of inorganic nitrogen4. Due to the characteristics of the soils in which conifers usually grow, these plants have developed a high tolerance to the presence of ammonium, which may constitute their main source of inorganic nitrogen5. The maritime pine (Pinus pinaster Aiton) is a conifer that has a wide distribution in the western Mediterranean area and has been widely used in reforestation, soil stabilization tasks and industrially. In recent years, maritime pine has been the subject of multiple omic studies that have resulted in the acquisition of important tools and resources6,7. The present work is focused on the analysis of the ammonium uptake and management efficiency, and its relationship with the biomass accumulation in maritime pine. For this purpose, several experiments have been developed in which pine seedlings have undergone different levels of ammonium nutrition, both in the short and long term. As a result of short-term experiments, the characterization of transcriptomic response to the process of ammonium nutrition (uptake and assimilation) is being studied at mRNA, lncRNA and miRNA level in roots. In relation to long-term experiments, ten different provenances of maritime pine seedlings were treated with different ammonium levels and the biomass changes were measured. The results obtained suggest the existence a certain phenotypic plasticity grade for this conifer.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech. This project was supported by a grant form the Spanish Ministerio de Ciencia, Innovación y Universidades (MicroNUpE, BIO2015-73512-JIN; MINECO/AEI/FEDER, UE). FO was supported by a grant from the Universidad de Málaga (Programa Operativo de Empleo Juvenil vía SNJG, UMAJI11, FEDER, FSE, Junta de Andalucía) and JMVM by a grant from the Spanish Ministerio de Educación y Formación Profesional (FPU17/03517

An extended Agassi model: Algebraic structure, phase diagram, and large size limit

The Agassi model (Agassi 1968 Nucl. Phys. A 116 49) is a schematic two-level model that involves pairing and monopole-monopole interactions. It is, therefore, an extension of the well known Lipkin-Meshkov-Glick model (Lipkin et al 1965 Nucl. Phys. 62 188). In this paper we review the algebraic formulation of an extension of the Agassi model as well as its bosonic realization through the Schwinger representation. Moreover, a mean-field approximation for the model is presented and its phase diagram discussed. Finally, a 1/j analysis, with j proportional to the degeneracy of each level, is worked out to obtain the thermodynamic limit of the ground state energy and some order parameters from the exact Hamiltonian diagonalization for finite - j.Ministerio de Economía y Competitividad FIS2017-88410- 88410-P, FIS2014-53448-C2-2-P, FIS2015-63770-PJunta de Andalucía FQM-160, FQM- 37

Driver drowsiness detection based on respiratory signal analysis

Drowsy driving is a prevalent and serious public health issue that deserves attention. Recent studies estimate around 20% of car crashes have been caused by drowsy drivers. Nowadays, one of the main goals in the development of new advanced driver assistance systems is the trustworthy drowsiness detection. In this paper, a drowsiness detection method based on changes in the respiratory signal is proposed. The respiratory signal, which has been obtained using an inductive plethysmography belt, has been processed in real-time in order to classify the driver’s state of alertness as drowsy or awake. The proposed algorithm is based on the analysis of the respiratory rate variability (RRV) in order to detect the fight against to fall asleep. Moreover, a method to provide a quality level of the respiratory signal is also proposed. Both methods have been combined to reduce false alarms due to changes of measured RRV associated not to drowsiness but body movements. A driving simulator cabin has been used to perform the validation tests and external observers have rated the drivers’ state of alertness in order to evaluate the algorithm performance. It has been achieved a specificity of 96.6%, sensitivity of 90.3% and Cohen’s Kappa agreement score of 0.75 on average across all subjects through a leave-one-subject-out cross-validation. A novel algorithm for driver’s state of alertness monitoring through the identification of the fight against to fall asleep has been validated. The proposed algorithm may be a valuable vehicle safety system to alert drowsiness while drivingPeer ReviewedPostprint (published version

A new and fast index for the quantification of short range self-similarity in RR time series

We propose a new and very fast index (the frequency of sign changes of the mirrored differences or fscmd) with good correlation with the short range scaling exponent ( Ｒ) estimated among scales 4 to 16 of the DFA. fscmd computes the relative number of sign changes of the difference of the RR time series minus their corresponding reversed RR time series after a moving average detrending procedure is applied using a window of 30 samples. Linear regression results with simulated time series with Fractional Brownian Noise and with actual time series using the Fantasia (FT), Normal Sinus Rhythm RR time series (NSR) and Congestive Heart Failure RR interval (CHF) databases after artifact correction show good agreement between fscmd and Ｒ. Finally, Mann-Whitney Rank Sum tests applied to Ｒ and fscmd when comparing NSR and CHF databases show very significant differences (p<0.001) between groups for both indices.Postprint (published version

Estimation of the uncertainty in time domain indices of RR time series

A method for estimating the uncertainty in time-domain indices of RR time series is described. The method relies on the central limit theorem that states that the distribution of a sample average of independent samples has an uncertainty that asymptotically approaches to the sample standard deviation divided by the square root of the number of samples. Because RR time series cannot be characterized by a set of independent samples, we propose to estimate the uncertainty of indices by computing them in blocks that satisfy that the obtained partial indices are independent. We propose a methodology to search sets of independent partial indices and apply this methodology to the estimation of the uncertainty in the mean RR, SDRR, and r-msDD indices. The results show that the uncertainty can be higher than the 10% of the index for the SDRR and even higher for the r-msDD. Moreover, a statistical test for the difference of two indices is proposed.Peer Reviewe