Results 71 to 80 of about 199,105 (273)
PINT: Maximum-likelihood Estimation of Pulsar Timing Noise Parameters
PINT is a pure-Python framework for high-precision pulsar timing developed on top of widely used and well-tested Python libraries, supporting both interactive and programmatic data analysis workflows. We present a new frequentist framework within PINT to
Abhimanyu Susobhanan +23 more
doaj +1 more source
We present the first version release of SESAMME, a public, Python-based full spectrum fitting tool for Simultaneous Estimates of Star-cluster Age, Metallicity, Mass, and Extinction.
Logan H. Jones +5 more
doaj +1 more source
Memristive Physical Reservoir Computing
Memristors’ nonlinear dynamics and input‐dependent memory effects make them ideal candidates for high‐performance physical reservoir computing (RC). Based on their conductance modulation, memristors can be classified as electronic or optoelectronic types.
Dian Jiao +9 more
wiley +1 more source
The Markarian Multiwavelength Data Center ( MMDC ) is a web-based tool designed for accessing and retrieving multiwavelength and multimessenger data from blazar observations.
N. Sahakyan +9 more
doaj +1 more source
Firefly: A Browser-based Interactive 3D Data Visualization Tool for Millions of Data Points
We present Firefly, a new browser-based interactive tool for visualizing 3D particle data sets. On a typical personal computer, Firefly can simultaneously render and enable real-time interactions with ≳10 million particles, and can interactively explore ...
Alexander B. Gurvich, Aaron M. Geller
doaj +1 more source
Ag Nanowire‐Integrated MoS2/ZnO Heterojunctions for Highly Efficient Photogenerated Charge Transfer
A versatile strategy is reported for fabricating multi‐dimensional heterojunctions with significantly improved charge transfer capability. By integrating Ag nanowires with a MoS2/ZnO heterojunction, a fourfold increase in surface photovoltage is achieved, reaching 200 mV under visible light illumination.
Anh Thi Nguyen +8 more
wiley +1 more source
Probabilistic Neural Network Approach to Determining Parameters of Eclipsing Binaries
Eclipsing binaries provide one of the most direct mechanisms for measuring stellar properties such as mass and radius, but determining these properties has historically been nontrivial and computationally prohibitive.
Marina Kounkel +9 more
doaj +1 more source
A software baseband receiver for pulsar astronomy at GMRT
13 pages, 6 figures, accepted for publication in Bulletin of Astronomical Society of ...
Joshi, Bhal Chandra, Ramakrishna, Sunil
openaire +2 more sources
New ADS Functionality for the Curator
In this paper we provide an update concerning the operations of the NASA Astrophysics Data System (ADS), its services and user interface, and the content currently indexed in its database.
Accomazzi, Alberto +11 more
core +1 more source
Automatic Determination of Quasicrystalline Patterns from Microscopy Images
This work introduces a user‐friendly machine learning tool to automatically extract and visualize quasicrystalline tiling patterns from atomically resolved microscopy images. It uses feature clustering, nearest‐neighbor analysis, and support vector machines. The method is broadly applicable to various quasicrystalline systems and is released as part of
Tano Kim Kender +2 more
wiley +1 more source

