153 skills found · Page 1 of 6
xraypy / XraylarchLarch: Applications and Python Library for Data Analysis of X-ray Absorption Spectroscopy (XAS, XANES, XAFS, EXAFS), X-ray Fluorescence (XRF) Spectroscopy and Imaging, and more.
space-physics / LowtranLOWTRAN atmospheric absorption extinction, scatter and irradiance model--in Python and Matlab
sonicether / Sound PhysicsA Minecraft mod that provides realistic sound attenuation, reverberation, and absorption through blocks.
UCSB-VRL / MethaneMapper Spectral Absorption Aware Hyperspectral Transformer For Methane DetectionMethaneMapper: Spectral Absorption aware Hyperspectral Transformer for Methane Detection
bruceravel / DemeterProcess and analyze X-ray Absorption Spectroscopy data using Feff and either Larch or Ifeffit.
qedsoftware / BrukeropusreaderPython package for reading Bruker OPUS files.
LucaDeSiena / MuRATA multi-resolution seismic attenuation tomography code - currently in its 3.0 release
jeffgortmaker / PyhdfeHigh dimensional fixed effect absorption with Python 3
marcus-cmc / Optical ModelingOptical Modeling (Transfer Matrix): Modeling the light propogation, light absorption, transmission, and reflection in a multi-layer thin-film stack and current in solar cells.
gudasergey / PyFitItPython implementation of FitIt software to fit X-ray absorption near edge structure (XANES) extended with additional features.
joshduran / BrukeropusA python package for communicating with Bruker OPUS spectroscopy software and reading its binary file format.
idanstei / Superiorized Photo Acoustic Non NEgative Reconstruction For Clinical Photoacoustic ImagingPhotoacoustic (PA) imaging can revolutionize medical ultrasound by augmenting it with molecular information. However, clinical translation of PA imaging remains a challenge due to the limited viewing angles and imaging depth. Described here is a new robust algorithm called Superiorized Photo-Acoustic Non-NEgative Reconstruction (SPANNER), designed to reconstruct PA images in real-time and to address these limitations. The method utilizes precise forward modeling of the PA propagation and reception of signals while accounting for the effects of acoustic absorption, element size, shape, and sensitivity, as well as the transducer's impulse response and directivity pattern. A fast superiorized conjugate gradient algorithm is used for inversion. SPANNER is compared to three reconstruction algorithms: delay-and-sum (DAS), universal back-projection (UBP), and model-based reconstruction (MBR). All four algorithms are applied to both simulations and experimental data acquired from tissue-mimicking phantoms, ex vivo tissue samples, and in vivo imaging of the prostates in patients. Simulations and phantom experiments highlight the ability of SPANNER to improve contrast to background ratio by up to 20 dB compared to all other algorithms, as well as a 3-fold increase in axial resolution compared to DAS and UBP. Applying SPANNER on contrast-enhanced PA images acquired from prostate cancer patients yielded a statistically significant difference before and after contrast agent administration, while the other three image reconstruction methods did not, thus highlighting SPANNER's performance in differentiating intrinsic from extrinsic PA signals and its ability to quantify PA signals from the contrast agent more accurately.
jkrogager / VoigtFitPython code to fit absorption lines semi-interactively
WMD-group / PyTASERPython package to simulate differential absorption spectra of crystals from first principles
xatu-code / XatuXatu solves the Bethe-Salpeter equation in solids to obtain the exciton spectrum
rjsmethurst / SnitchBayesian inference of star formation histories using emission and absorption spectral features
navid58 / FDFD Ver02Frequency-domain finite-difference (FDFD) MATLAB package for 2D visco-acoustic wave equation
multiwavelength / GleamGalaxy Line Emission & Absorption Modeling
Beckybams / AI For Carbon Capture OptimizationAI-for-Carbon-Capture-Optimization is a machine learning project that uses synthetic industrial data to improve carbon capture efficiency. It predicts optimal operating conditions such as temperature, pressure, and energy usage to maximize CO₂ absorption.
ytpeng-aimlab / Underwater Image Restoration Based On Image Blurriness And Light AbsorptionNo description available
