5,293 research outputs found
The self-consistent general relativistic solution for a system of degenerate neutrons, protons and electrons in beta-equilibrium
We present the self-consistent treatment of the simplest, nontrivial,
self-gravitating system of degenerate neutrons, protons and electrons in
-equilibrium within relativistic quantum statistics and the
Einstein-Maxwell equations. The impossibility of imposing the condition of
local charge neutrality on such systems is proved, consequently overcoming the
traditional Tolman-Oppenheimer-Volkoff treatment. We emphasize the crucial role
of imposing the constancy of the generalized Fermi energies. A new approach
based on the coupled system of the general relativistic
Thomas-Fermi-Einstein-Maxwell equations is presented and solved. We obtain an
explicit solution fulfilling global and not local charge neutrality by solving
a sophisticated eigenvalue problem of the general relativistic Thomas-Fermi
equation. The value of the Coulomb potential at the center of the configuration
is and the system is intrinsically stable against
Coulomb repulsion in the proton component. This approach is necessary, but not
sufficient, when strong interactions are introduced.Comment: Letter in press, Physics Letters B (2011
On the Mass to Charge Ratio of Neutron Cores and Heavy Nuclei
We determine theoretically the relation between the total number of protons
and the mass number (the charge to mass ratio) of nuclei and
neutron cores with the model recently proposed by Ruffini et al. (2007) and we
compare it with other versus relations: the empirical one, related to
the Periodic Table, and the semi-empirical relation, obtained by minimizing the
Weizs\"{a}cker mass formula. We find that there is a very good agreement
between all the relations for values of typical of nuclei, with differences
of the order of per cent. Our relation and the semi-empirical one are in
agreement up to ; for higher values, we find that the two relations
differ. We interprete the different behaviour of our theoretical relation as a
result of the penetration of electrons (initially confined in an external
shell) inside the core, that becomes more and more important by increasing ;
these effects are not taken into account in the semi-empirical mass-formula.Comment: Some misprints of the published version corrected (value of nuclear
density and eq. 7). Talk given at the 4th Italian-Sino Workshop, July 20-30
(2007), Pescara (Italy
Cooling of young neutron stars in GRB associated to Supernova
Recent observations of the late (-- s) emission of supernovae
(SNe) associated to GRBs (GRB-SN) show a distinctive emission in the X-ray
regime consistent with temperatures -- K. Similar features have
been also observed in the two Type Ic SNe SN 2002ap and SN 1994I that are not
associated to GRBs. We advance the possibility that the late X-ray emission
observed in GRB-SN and in isolated SN is associated to a hot neutron star (NS)
just formed in the SN event, here defined as a neo-NS. We discuss the thermal
evolution of neo-NS in the age regime that spans from minute (just
after the proto-NS phase) up to ages <10-100 yr. We examine the key factor
governing the neo-NS cooling emphasizing on the neutrino emission. A
phenomenological heating source and new boundary conditions are introduced to
mimic the high-temperature atmosphere of young NSs. We match the neo-NS
luminosity to the late X-ray emission of the GRB-SN events URCA-1 in
GRB980425-SN1998bw, URCA-2 in GRB030329-SN2003dh, and URCA-3 in
GRB031203-SN2003lw. By calibrating our additional heating source at early times
to -- erg/g/s, we find a striking agreement of the
luminosity obtained from the cooling of neo-NSs with the late
(-- s) X-ray emission observed in GRB-SN. It is therefore
appropriate to revise the boundary conditions used in the cooling theory of
NSs, to match the proper conditions of the atmosphere at young ages. Additional
heating processes that are still not studied within this context, such as e+e-
pair creation by overcritical fields and nuclear fusion and fission energy
release, might also take place under such conditions and deserve further
analysis. Observation of GRB-SN has shown the possibility of witnessing the
thermal evolution of neo-NSs. A new campaign of dedicated observations is
recommended both of GRB-SN and of isolated Type Ic SN.Comment: Version to be published by Astronomy & Astrophysics. Abstract reduced
with respect to the one to be published in A&A due to arXiv system constraint
of 300 word
Strong electric fields induced on a sharp stellar boundary
Due to a first order phase transition, a compact star may have a
discontinuous distribution of baryon as well as electric charge densities, as
e.g. at the surface of a strange quark star. The induced separation of positive
and negative charges may lead to generation of supercritical electric fields in
the vicinity of such a discontinuity. We study this effect within a
relativistic Thomas-Fermi approximation and demonstrate that the strength of
the electric field depends strongly on the degree of sharpness of the surface.
The influence of strong electric fields on the stability of compact stars is
discussed. It is demonstrated that stable configurations appear only when the
counter-pressure of degenerate fermions is taken into consideration.Comment: 13 pages, 2 figure
Local Kernel Renormalization as a mechanism for feature learning in overparametrized Convolutional Neural Networks
Feature learning, or the ability of deep neural networks to automatically
learn relevant features from raw data, underlies their exceptional capability
to solve complex tasks. However, feature learning seems to be realized in
different ways in fully-connected (FC) or convolutional architectures (CNNs).
Empirical evidence shows that FC neural networks in the infinite-width limit
eventually outperform their finite-width counterparts. Since the kernel that
describes infinite-width networks does not evolve during training, whatever
form of feature learning occurs in deep FC architectures is not very helpful in
improving generalization. On the other hand, state-of-the-art architectures
with convolutional layers achieve optimal performances in the finite-width
regime, suggesting that an effective form of feature learning emerges in this
case. In this work, we present a simple theoretical framework that provides a
rationale for these differences, in one hidden layer networks. First, we show
that the generalization performance of a finite-width FC network can be
obtained by an infinite-width network, with a suitable choice of the Gaussian
priors. Second, we derive a finite-width effective action for an architecture
with one convolutional hidden layer and compare it with the result available
for FC networks. Remarkably, we identify a completely different form of kernel
renormalization: whereas the kernel of the FC architecture is just globally
renormalized by a single scalar parameter, the CNN kernel undergoes a local
renormalization, meaning that the network can select the local components that
will contribute to the final prediction in a data-dependent way. This finding
highlights a simple mechanism for feature learning that can take place in
overparametrized shallow CNNs, but not in shallow FC architectures or in
locally connected neural networks without weight sharing.Comment: 22 pages, 5 figures, 2 tables. Comments are welcom
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