Search Results for "table"

Cosmic ray electrons scatter on the photon fields around stars, including the sun, to create gamma rays by the inverse Compton effect. This program computes the spectrum and angular distribution of this emission. The software also includes general-purpose routines for inverse Compton scattering on a given electron spectrum, for example for interstellar or astrophysical source modelling. For further information see these publications: http://arxiv.org/abs/astro-ph/0607563,...

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 optical particle counters and impacts upon PCASP and CDP data collected during the Fennec campaign and CDP data collected during the Fennec campaign, http://www.atmos-meas-tech.net/5/1147/2012/amt-5-1147-2012.html

Fixed width data files are probably the most annoying data to import into database. This utility allows user to insert user-defined column separators into user-defided positions of flat file table given in fixed-width format. I am using this utility to import astronomical catalogs provided as flat tables at CDS ftp-server into postgresql; Build: $ make all [cc={icc|gcc}] Install: $ make install [prefix=/path/to/your/bin/directory] Example of usage: $ gzip -dc table.dat.gz | fw2csv --stops=4,10,11,20,30,36 -d '|' -header 1 | psql wsdb -c "copy mytable from stdin with csv delimiter '|'" For the list of available options call $ fw2csv --help

ATpy (Astronomical Tables in Python) is a Python module aimed at dealing with tables of astronomical data with a common API. To date, the following formats are supported: FITS, VO, and IPAC tables, and SQLite, MySQL, and PostgreSQL databases