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Deep learning's success has been widely recognized in a variety of machine learning tasks, including image classification, audio recognition, and natural language processing. As an extension of deep learning beyond these domains, graph…

Machine Learning · Computer Science 2021-07-22 Zhiqian Chen , Fanglan Chen , Lei Zhang , Taoran Ji , Kaiqun Fu , Liang Zhao , Feng Chen , Lingfei Wu , Charu Aggarwal , Chang-Tien Lu

We present Full SMS, a multipurpose graphical user interface (GUI)-based software package for analysing single-molecule spectroscopy (SMS) data. SMS typically delivers multiparameter data -- such as fluorescence brightness, lifetime, and…

Biological Physics · Physics 2024-05-01 Joshua L. Botha , Bertus van Heerden , Tjaart P. J. Krüger

We present a new open-source data-reduction pipeline to reconstruct spectral data cubes from raw SPHERE integral-field spectrograph (IFS) data. The pipeline is written in Python and based on the pipeline that was developed for the CHARIS…

Earth and Planetary Astrophysics · Physics 2022-12-14 Matthias Samland , Timothy Brandt , Julien Milli , Philippe Delorme , Arthur Vigan

SpectroWeb is an online maintained interactive graphical database of digital spectral atlases of spectral standard stars at http://spectra.freeshell.org . It is an efficient and user-friendly research tool for accurate analyses of stellar…

Astrophysics · Physics 2007-07-26 A. Lobel

The fitting of spectral lines is a common step in the analysis of line observations and simulations. However, the observational noise, the presence of multiple velocity components, and potentially large data sets make it a non-trivial task.…

Astrophysics of Galaxies · Physics 2024-03-08 Mika Juvela , Devika Tharakkal

Deep learning computer vision techniques have achieved many successes in recent years across numerous imaging domains. However, the application of deep learning to spectral data remains a complex task due to the need for augmentation…

Image and Video Processing · Electrical Eng. & Systems 2021-08-18 Conor C. Horgan , Mads S. Bergholt

iSpec is an integrated spectroscopic software framework suitable for the creation of spectral libraries such as the Benchmark Stars library and the determination of atmospheric parameters (i.e. effective temperature, surface gravity,…

Solar and Stellar Astrophysics · Physics 2013-12-18 S. Blanco-Cuaresma , C. Soubiran , P. Jofré , U. Heiter

SMART is a software package written in IDL to reduce and analyze Spitzer data from all four modules of the Infrared Spectrograph, including the peak-up arrays. The software is designed to make full use of the ancillary files generated in…

This research presents a comprehensive assessment of pan-sharpening techniques for satellite imagery, focusing on the critical aspects of spectral fidelity and spatial enhancement. Motivated by the need for informed algorithm selection in…

Computer Vision and Pattern Recognition · Computer Science 2024-05-30 Abdul Aziz A. B , A. B Abdul Rahim

This paper presents SunPy (version 0.5), a community-developed Python package for solar physics. Python, a free, cross-platform, general-purpose, high-level programming language, has seen widespread adoption among the scientific community,…

Applications integrating analysis components require a programmable interface which defines statistical operations independently of any programming language. By separating concerns of scientific computing from application and implementation…

Computation · Statistics 2014-06-19 Jeroen Ooms

Despite remarkable advancements in supervised pansharpening neural networks, these methods face domain adaptation challenges of resolution due to the intrinsic disparity between simulated reduced-resolution training data and real-world…

Image and Video Processing · Electrical Eng. & Systems 2025-11-17 Lihua Jian , Jiabo Liu , Shaowu Wu , Lihui Chen

Deep reinforcement learning (RL) is increasingly deployed in resource-constrained environments, yet the go-to function approximators - multilayer perceptrons (MLPs) - are often parameter-inefficient due to an imperfect inductive bias for…

Machine Learning · Computer Science 2026-02-02 Rajib Mostakim , Reza T. Batley , Sourav Saha

Graph representation learning seeks to transform complex, high-dimensional graph structures into compact vector spaces that preserve both topology and semantics. Among the various strategies, subgraph-based methods provide an interpretable…

Machine Learning · Computer Science 2025-12-05 Yeamin Kaiser , Muhammed Tasnim Bin Anwar , Bholanath Das

Ever brighter light sources, fast parallel detectors, and advances in phase retrieval methods, have made ptychography a practical and popular imaging technique. Compared to previous techniques, ptychography provides superior robustness and…

Data Analysis, Statistics and Probability · Physics 2016-07-20 Stefano Marchesini , Hari Krishnan , Benedikt J. Daurer , David A. Shapiro , Talita Perciano , James A. Sethian , Filipe R. N. C. Maia

Despite being the most popular programming language, Python has not yet received enough attention from the community. To the best of our knowledge, there is no general static analysis framework proposed to facilitate the implementation of…

Software Engineering · Computer Science 2022-02-25 Li Li , Jiawei Wang , Haowei Quan

ScopeSim is a flexible multipurpose instrument data simulation framework built in Python. It enables both raw and reduced observation data to be simulated for a wide range of telescopes and instruments quickly and efficiently on a personal…

Instrumentation and Methods for Astrophysics · Physics 2021-09-29 Kieran Leschinski , Hugo Buddelmeijer , Oliver Czoske , Miguel Verdugo , Gijs Verdoes-Kleijn , Werner Zeilinger

We present Spectral GUI, a multiplatform breast MR image analysis tool designed to facilitate the segmentation of fibro glandular tissues and lesions in T1 weighted breast MR images via a graphical user interface (GUI). Spectral GUIR uses…

Image and Video Processing · Electrical Eng. & Systems 2020-04-21 Prajval Koul

INTEGRAL observations provide a large amount of data on accreting binary systems. The interpretation of the spectral emission of these sources needs timing analysis and phase resolved spectroscopy, which are really cumbersome tasks if…

Astrophysics · Physics 2007-09-27 A. Segreto , C. Ferrigno

Iris is an extensible application that provides astronomers with a user-friendly interface capable of ingesting broad-band data from many different sources in order to build, explore, and model spectral energy distributions (SEDs). Iris…