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Echoes is a radio spectral analysis software for SDR devices
Echoes it's a radio spectral analysis software for SDR devices, designed for meteor scattering purposes.
The older releases supported only RTL-SDR devices. They are very cheap SDR based on DVB-T TV tuner dongles based on Realtek's
RTL2832U chipset. Starting from 0.50 Echoes embeds SoapySDR allowing the support of many other SDRs.
Echoes doesn't demodulate neither decode any human-made signal. Its main goal is to analyze and record the total power of natural signals and generate...
Slim is a data compression system for scientific data sets, a binary and a library with C linkage. Slim works with integer data from one or more channels in a file, which it can compress more effectively and more rapidly than general tools like gzip.
MieConScat is a GUI/Console program for generating MIE SCATtering data as a table of cross sections. It can generate scattering cross sections over specified angular ranges and total absorption cross sections.
It was initially developed to aid work with optical particle counters (OPC) especially when CONverting data between cross section and diameter space. These methods are described in Rosenberg et al. 2012, Particle sizing calibration with refractive index correction for light scattering...
Open PECTool - manipulate peroidic error data for Celestron mounts.
...Communication to the hand control is 9600 bits/sec, no parity and one
stop bit via the RS-232 port on the base of the hand control.
To build it libnexstar version 0.11 or newer is needed, which can be found here: https://sourceforge.net/projects/libnexstar/
Mac OSX binary is available here: http://sourceforge.net/projects/openpectool/files/prebuilt/openpectool-0.0.1.dmg/download
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Finds the cosmological power spectrum from a N-body simulation using the MPI FFTW library. May be run as a parallel computation for increased resolution. Reads in binary Gadget2 files.
A code for fast multi-dimensional density estimation . Instead of assuming an a-priori metric definition, it calculates a locally adaptive metric for each data point by using, a Shannon Entropy based, binary space partitioning scheme.