Search Results for "aa-analyzer"
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Showing 8 open source projects for "aa-analyzer"
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dotScope
Scientific shell for live experiment
...Release 2.5: Store data to files, Several desktops, Complete version of postprocessing modules (Calculation, Linearization, Spline, Line regression, Statistic - mean and RMSD, Spectrum analyzer), Output table data for series experiments -
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GeigerLog
Python program for Geiger counters and Environmental Sensors
GeigerLog is a combination of data logger, presenter, and analyzer, and is now released in version 2.1! Based on Python (Version 3), it runs on Linux, Windows, Macs, Raspberry Pi, and other. GeigerLog is WiFi-enabled for servers and clients; it can be monitored by SmartPhone. Initially developed for Geiger counters, it is now a more universal tool, which equally well handles data like temperature, air-pressure, humidity, CO2. -
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pyrpl
PyRPL turns your Red Pitaya into a powerful analog feedback device.
The Red Pitaya is a commercial, affordable FPGA board with fast analog inputs and outputs. This makes it useful for quantum optics experiments, in particular as a digital feedback controller for analog systems. Based on the open source software provided by the board manufacturer, PyRPL (Python RedPitaya Lockbox) implements many devices that are needed for optics experiments with the Red Pitaya. PyRPL implements various digital signal processing (DSP) modules (see features below). It allows... -
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This is an implementation of post-process phonon analyzer, which calculates crystal phonon properties from input information calculated by external codes, e.g., first-principles calculation code.
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Gamma Grapher Nano
Gamma Spectrometry using DSO 201 Nano hardware
This software to turn a DSO Nano 201 into a Multi-Channel Analyzer for gamma spectrometry. Software is open source. Support and discussion are through the GammaSpectrometry group at http://tech.groups.yahoo.com/group/GammaSpectrometry/ -
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Distributions Networks Analyzer (DNA) is a tool for simulating (power flow) and analyzing electrical distribution networks. Users can easily implement and test their own power flow, optimal power flow and control algorithms.
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