311,751 research outputs found
Radio Planetary Nebulae in the Small Magellanic Cloud
We present ten new radio continuum (RC) detections at catalogued planetary
nebula (PN) positions in the Small Magellanic Cloud (SMC): SMPS6, LIN 41, LIN
142, SMP S13, SMP S14, SMP S16, J18, SMP S18, SMP S19 and SMP S22.
Additionally, six SMC radio PNe previously detected, LIN 45, SMP S11, SMPS17,
LIN321, LIN339 and SMPS24 are also investigated (re-observed) here making up a
population of 16 radio detections of catalogued PNe in the SMC. These 16 radio
detections represent ~15 % of the total catalogued PN population in the SMC. We
show that six of these objects have characteristics that suggest that they are
PN mimics: LIN 41, LIN 45, SMP S11, LIN 142, LIN 321 and LIN 339. We also
present our results for the surface brightness - PN radius relation
({\Sigma}-D) of the SMC radio PN population. These are consistent with previous
SMC and LMC PN measurements of the ({\Sigma}-D) relation.Comment: Accepted for publication in Astrophysics and Space Scienc
Generalized Supersymmetries and Composite Structure in M-Theory
We describe generalized D=11 Poincar\'{e} and conformal supersymmetries. The
corresponding generalization of twistor and supertwistor framework is outlined
with superspinors describing BPS preons. The BPS
states as composed out of preons are introduced, and basic ideas
concerning BPS preon dynamics is presented. The lecture is based on results
obtained by J.A. de Azcarraga, I. Bandos, J.M. Izquierdo and the author.Comment: LaTeX, 7pages. Talk presented at the XVI-th Max Born Symposium
,,Supersymmetries and Quantum Symmetries `01" (21-25.09.2001, Karpacz,
Poland) and International Nankai Symposium (8-11.10.2001, Tianjin, China). To
be published in the Proceedings of Nankai Symposium, Ed. Ge Mo-Lin and J.
Park, Int. J. Mod. Phys.
Algoritma golden section bootstrap dalam regersi non parametrik
ABSTRAK
Bentuk taksiran kurva regresi nonparametrik
ditentukan oleh parameter penghalus h yang lebih dikenal dengan nama bandwidth. Untuk mengetahui taksiran kurva regresi, dengan hubungan regresinya adalah
Yi = m(X ) -1- - i = 1, 2, n
digunakan metode bootstrap yaitu suatu resampling dari sekumpulan data pengamatan dengan pengembalian dengan massa peluangnya adalah lin untuk setiap titik data. Salah sate metode ini adalah Golden Section Bootstrap. Di sini digunakan penaksir Nadaraya-Watson yang diharapkan akan menghasilkan taksiran kurva regresi nonparametrik yang lebih halus dibanding taksiran kurva regresi dari data aslinya
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