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Copy file name to clipboardexpand all lines: README.md
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Casey Law
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claw@astro.berkeley.edu
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Introduction:
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Introduction
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----
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Python library for analysis of radio interferometry data for finding dispersed (fast) transients.
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Searches multiple DMs and timescales using multiple cores via the multiprocessing library.
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Searches can be done with accelerated FFT imaging or bispectrum algorithms.
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Requirements:
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Requirements
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----
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-- python (probably version >2.6..?)
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-- numpy, matplotlib
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-- CASA 4.0 or higher
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-- patchelf (to get casapy-free CASA)
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-- pyFFTW (for accelerated fft)
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Usage:
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Citation
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----
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If you use tpipe, please support open software by citing the record on the [Astrophysics Source Code Library](ascl.net) at http://ascl.net/1603.012. In AASTeX, you can do this like so:
This command will read the first 100 interations from scan 0 (first scan) of 'data.ms'. It will look for the first spectral window and save channels 5,59 (inclusive) for two, orthogonal, circular polarizations. The data will have calibration applied from the gain and bp files. A zero-mean will be subtracted, data dedispersed, and resampled for DM=0 and 100 pc/cm3 and time widths of 1 and 2 integrations. The image search will use a uv grid cell size of 58 lambda and an image size of 512 pixels square (appropriate 2 pixels per beam for L-band, VLA images; covers twice the FWHM).
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Files:
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Files
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----
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-- leanpipedt.py: master script that defines search pipeline.
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-- applycals2.py and applytelcal.py: script to parse CASA calibration tables (gain and bp) or telcalfile. Called by leanpipedt.py.
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-- leanpipedt_cython.pyx: Cython-accelerated utility functions, including dedispersion of visibilities.
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