Results 21 to 30 of about 4,751,007 (301)
Deep-learnt classification of light curves [PDF]
8 pages, 9 figures, 6 tables, 2 listings. Accepted to 2017 IEEE Symposium Series on Computational Intelligence (SSCI)
Mahabal, Ashish +7 more
openaire +5 more sources
Rotation Periods of Asteroids Determined With Bootstrap Convex Inversion From ATLAS Photometry
The rotation period is one of the fundamental physical characteristics of asteroids. It can be determined from photometric measurements by standard methods of time-series period analysis or by creating a physical model of an asteroid with the rotation ...
Josef Ďurech +3 more
doaj +1 more source
Focusing light in a curved-space
We use transformation optics to demonstrate 2D silicon nanolenses, with wavelength-independent focal point. The lenses are designed and fabricated with dimensions ranging from 5.0 microm x 5.0 microm to 20 microm x 20 microm. According to numerical simulations the lenses are expected to focus light over a broad wavelength range, from 1.30 mum to 1.60 ...
Danilo H, Spadoti +3 more
openaire +2 more sources
SPECTRA AND LIGHT CURVES OF FAILED SUPERNOVAE [PDF]
33 pages, 14 ...
Fryer, C. +13 more
openaire +3 more sources
Light curves of six bright soft X-ray transients in M31 [PDF]
Disc irradiation is thought to be capable of explaining the global behaviour of the light curves of soft X-ray transients (SXTs). Depending on the strength of the central X-ray emission in irradiating the disc, the light curve may exhibit an exponential ...
Nooraee, Nakisa
core +1 more source
Motions of Curves in the Projective Plane Inducing the Kaup-Kupershmidt Hierarchy [PDF]
The equation of a motion of curves in the projective plane is deduced. Local flows are defined in terms of polynomial differential functions. A family of local flows inducing the Kaup-Kupershmidt hierarchy is constructed.
Musso, Emilio, Emilio Musso, Musso, E.
core +1 more source
Light on curved backgrounds [PDF]
34 pages, 10 ...
Batic, D., Nelson, S., Nowakowski, M.
openaire +2 more sources
Discrete Chi-square Method for Detecting Many Signals
Unambiguous detection of signals superimposed on unknown trends is difficult for unevenly spaced data. Here, we formulate the Discrete Chi-square Method (DCM) that can determine the best model for many signals superimposed on arbitrary polynomial trends.
Lauri Jetsu
doaj +1 more source
Understanding X-ray irradiation in low-mass X-ray binaries directly from their light-curves [PDF]
The X-ray light curves of the recurring outbursts observed in low-mass X-ray binaries provide strong test beds for constraining (still) poorly understood disc-accretion processes.
Dubus, G. +4 more
core +1 more source
A non-linear analysis of the longitudinal static stability of light, multi-engined aircraft [PDF]
The longitudinal handling qualities of light aircraft have traditionally been assessed in terms of the slope of the static stability trim curves. This method of assessment is simple in terms of analysis as well as being a relatively easy task for the ...
Eshelby, M. E.
core +4 more sources

