There are 1 repository under spectra topic.
Paradox Magellan, Spectra and EVO, with MQTT, Signal, Pushbullet, Pushover and others
🌈 A collaborative list of awesome tools for spectroscopy. Also, check:
Proteomics search software with integrated calibration, PTM discovery, bottom-up, top-down and LFQ capabilities
esp8266, serial bus to mqtt for Paradox alarm systems
Tools for Flexible Spectroscopic Inference
Python package for reading Bruker OPUS files.
Integrate your chemometric tools with the scikit-learn API 🧪 🤖
Quantum dynamics package based on tensor network states
Fully automated Gaussian decomposition package for emission line spectra
C/C++ library and Python bindings for x-ray cross sections, x-ray source spectra modeling, multi-material beam hardening correction, and dual energy decomposition algorithms
Deep learning for the automated spectral classification of supernovae
Spectra.jl aims at helping treatment of spectral (Raman, Infrared, XAS, NMR) data under the Julia language
GUI application for calculating human-visible colors of celestial bodies from their photometric data
Paradox events and control using ESP32
A python package for communicating with Bruker OPUS spectroscopy software and reading its binary file format.
Calculate many-body states of an impurity Anderson model and spectra (e.g. XPS, XAS, RIXS, NIXS)
A project focused on the development of generalized spectra-trait models for the prediction of leaf photosynthetic capacity. This includes models focused on the prediction of Vcmax, Jmax and dark respiration as well as leaf nitrogen, leaf mass per area (LMA), leaf water content (LWC).
A code to convert spectra to colors. Our paper can be found at https://arxiv.org/abs/2101.06254. If you decide to use our code, please cite our paper. Some pre-computed colors from stellar and black body spectra can be found at https://zenodo.org/record/4090873.
A web app for high-resolution infrared molecular spectra using RADIS
Software for identifying spectral lines and calibrating spectroscopic observations.
Plotting and analysis tools for ARTIS simulations
A tutorial R package for illustrating how to fit, evaluate, and report spectra-trait PLSR models. The package provides functions to enhance the base functionality of the R pls package, identify an optimal number of PLSR components, standardize model validation, and vignette examples that utilize datasets sourced from EcoSIS (ecosis.org)
Better Radial velocities from Stellar Spectroscopy via Machine Learning
A Formal Method playground for limboole, Z3, nuXmv, Alloy, and Spectra