Reports de recerca
http://hdl.handle.net/2117/1132
Sat, 28 Nov 2015 19:21:20 GMT2015-11-28T19:21:20ZProblemes d'espais vectorials
http://hdl.handle.net/2117/80005
Problemes d'espais vectorials
Cubarsí Morera, Rafael
Problemes test d'espais vectorials
Problemes test d'espais vectorials
Fri, 27 Nov 2015 12:08:37 GMThttp://hdl.handle.net/2117/800052015-11-27T12:08:37ZCubarsí Morera, RafaelProblemes test d'espais vectorialsConsolidated characterisation of an ionospheric indicator for the definition of EGNOS Ionospheric Conditions
http://hdl.handle.net/2117/23040
Consolidated characterisation of an ionospheric indicator for the definition of EGNOS Ionospheric Conditions
Juan Zornoza, José Miguel; Sanz Subirana, Jaume
Fri, 23 May 2014 18:17:49 GMThttp://hdl.handle.net/2117/230402014-05-23T18:17:49ZJuan Zornoza, José MiguelSanz Subirana, JaumeFeasibility analysis of a methodology to estimate hourly DCBs for Feared Events Characterization
http://hdl.handle.net/2117/23039
Feasibility analysis of a methodology to estimate hourly DCBs for Feared Events Characterization
Juan Zornoza, José Miguel; Sanz Subirana, Jaume
Analysis of Hardware Biases Feared Events
Fri, 23 May 2014 17:48:23 GMThttp://hdl.handle.net/2117/230392014-05-23T17:48:23ZJuan Zornoza, José MiguelSanz Subirana, JaumeAnalysis of Hardware Biases Feared EventsICASES scenarios Final Report
http://hdl.handle.net/2117/22332
ICASES scenarios Final Report
Juan Zornoza, José Miguel; Sanz Subirana, Jaume
Fri, 21 Mar 2014 14:17:23 GMThttp://hdl.handle.net/2117/223322014-03-21T14:17:23ZJuan Zornoza, José MiguelSanz Subirana, JaumeDescription of the experiment set-up in Vietnam
http://hdl.handle.net/2117/20959
Description of the experiment set-up in Vietnam
Quang, Phuong Xuan; Vinh, La The; Juan Zornoza, José Miguel; Sanz Subirana, Jaume; García Rigo, Alberto; Hai Tung, Ta
Tue, 10 Dec 2013 15:34:07 GMThttp://hdl.handle.net/2117/209592013-12-10T15:34:07ZQuang, Phuong XuanVinh, La TheJuan Zornoza, José MiguelSanz Subirana, JaumeGarcía Rigo, AlbertoHai Tung, TaIONI-R and IONA-R scenarios report
http://hdl.handle.net/2117/20958
IONI-R and IONA-R scenarios report
Juan Zornoza, José Miguel; Sanz Subirana, Jaume
Tue, 10 Dec 2013 15:13:10 GMThttp://hdl.handle.net/2117/209582013-12-10T15:13:10ZJuan Zornoza, José MiguelSanz Subirana, JaumeFinal report on EGNOS default ionospheric conditions. Volume 2: selection of ionospheric conditions: indicator thresholds
http://hdl.handle.net/2117/20957
Final report on EGNOS default ionospheric conditions. Volume 2: selection of ionospheric conditions: indicator thresholds
Juan Zornoza, José Miguel; Sanz Subirana, Jaume
Tue, 10 Dec 2013 15:06:34 GMThttp://hdl.handle.net/2117/209572013-12-10T15:06:34ZJuan Zornoza, José MiguelSanz Subirana, JaumeFinal report on EGNOS default ionospheric conditions. Volume 1: Selection and justification of indicators and analysis against past EGNOS performance
http://hdl.handle.net/2117/20955
Final report on EGNOS default ionospheric conditions. Volume 1: Selection and justification of indicators and analysis against past EGNOS performance
Juan Zornoza, José Miguel; Sanz Subirana, Jaume
Tue, 10 Dec 2013 14:52:26 GMThttp://hdl.handle.net/2117/209552013-12-10T14:52:26ZJuan Zornoza, José MiguelSanz Subirana, JaumeProgramas del algoritmo de clasificacion de poblaciones normales trivariantes a partir de la entropia de mezcla
http://hdl.handle.net/2117/12404
Programas del algoritmo de clasificacion de poblaciones normales trivariantes a partir de la entropia de mezcla
Cubarsí Morera, Rafael; Alcobé López, Santiago
The complete FORTRAN codified programs of the segregation algorithm described in Alcobé (2001) are described. The classification algorithm is applied to study the trivariate velocity distribution of stars from the star catalogs, which can be locally approximated by a superposition of two or more normal components. An auxiliar sampling parameter P (such as the velocity module referred to a specific point, the absolute value of one peculiar velocity component alone, the distance to the galactic plane, etc.) is introduced in order to define the sample boundaries. The sampling paramenter must induce a hyerarchical incorporation of stars to the population components, in the sense that the greater the P value, the greater the number of stars in each component. For a fixed P, a sample S(P) is drawn from the global catalog. Depending on the sampling parameter the population entropy H(P) of a two-component mixture is computed from the mixing proportions. The purpose is to find the optimal P value in order to maximize H(P). Then the algorithm is used recursively in order to segregate a global sample in more than two populations. Moreover, for each subsample S(P), the goodness of the superposition approximation is evaluated by reconstructing the sample central moments up to fourth-order from the population parameters. A chi-square test, taking into account the sampling distribution moments, is evaluated to measure the fitting error. For subsamples S(P) a total accordance between the minimum chi-square and the maximum population entropy H(P) is produced.
Mon, 18 Apr 2011 10:03:50 GMThttp://hdl.handle.net/2117/124042011-04-18T10:03:50ZCubarsí Morera, RafaelAlcobé López, SantiagoThe complete FORTRAN codified programs of the segregation algorithm described in Alcobé (2001) are described. The classification algorithm is applied to study the trivariate velocity distribution of stars from the star catalogs, which can be locally approximated by a superposition of two or more normal components. An auxiliar sampling parameter P (such as the velocity module referred to a specific point, the absolute value of one peculiar velocity component alone, the distance to the galactic plane, etc.) is introduced in order to define the sample boundaries. The sampling paramenter must induce a hyerarchical incorporation of stars to the population components, in the sense that the greater the P value, the greater the number of stars in each component. For a fixed P, a sample S(P) is drawn from the global catalog. Depending on the sampling parameter the population entropy H(P) of a two-component mixture is computed from the mixing proportions. The purpose is to find the optimal P value in order to maximize H(P). Then the algorithm is used recursively in order to segregate a global sample in more than two populations. Moreover, for each subsample S(P), the goodness of the superposition approximation is evaluated by reconstructing the sample central moments up to fourth-order from the population parameters. A chi-square test, taking into account the sampling distribution moments, is evaluated to measure the fitting error. For subsamples S(P) a total accordance between the minimum chi-square and the maximum population entropy H(P) is produced.Closure of the stellar hydrodynamic equations for arbitrary distributions
http://hdl.handle.net/2117/11678
Closure of the stellar hydrodynamic equations for arbitrary distributions
Cubarsí Morera, Rafael
The closure problem of the stellar hydrodynamic equations is studied in a general case by describing the family of phase space density functions for which the collisionless Boltzmann equation is strictly equivalent to a finite subset of moment equations.
The method is based on the use of maximum entropy distributions, which are afterwards generalised to phase space density functions depending on any isolating integral of motion in terms of a polynomial function of degree $n$ in the velocities. Then, there is an independent set of velocity moments, up to an order $n$, so that the higher-order moments can be expressed in terms of the independent moments; the collisionless Boltzmann equation is given by a set of differential equations expressed from symmetric tensors of rank up to $n+1$;
the independent moment equations are those of an order of up to $n+1$; and the hydrodynamic equations of an order higher than $n+1$ are redundant.
Fri, 04 Mar 2011 13:52:59 GMThttp://hdl.handle.net/2117/116782011-03-04T13:52:59ZCubarsí Morera, RafaelThe closure problem of the stellar hydrodynamic equations is studied in a general case by describing the family of phase space density functions for which the collisionless Boltzmann equation is strictly equivalent to a finite subset of moment equations.
The method is based on the use of maximum entropy distributions, which are afterwards generalised to phase space density functions depending on any isolating integral of motion in terms of a polynomial function of degree $n$ in the velocities. Then, there is an independent set of velocity moments, up to an order $n$, so that the higher-order moments can be expressed in terms of the independent moments; the collisionless Boltzmann equation is given by a set of differential equations expressed from symmetric tensors of rank up to $n+1$;
the independent moment equations are those of an order of up to $n+1$; and the hydrodynamic equations of an order higher than $n+1$ are redundant.