Astrophysics Source Code Library

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Searching for codes credited to 'Ransom, Scott'

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[ascl:1107.017] PRESTO: PulsaR Exploration and Search TOolkit

PRESTO is a large suite of pulsar search and analysis software. It was primarily designed to efficiently search for binary millisecond pulsars from long observations of globular clusters (although it has since been used in several surveys with short integrations and to process a lot of X-ray data as well). To date, PRESTO has discovered well over a hundred and fifty pulsars, including approximately 100 recycled pulsars, about 80 of which are in binaries. It is written primarily in ANSI C, with many of the recent routines in Python.

Written with portability, ease-of-use, and memory efficiency in mind, it can currently handle raw data from the following pulsar machines or formats:

  • PSRFITS search-format data (as from GUPPI at the GBT and the Mock Spectrometers at Arecibo)
  • SPIGOT at the GBT
  • Most Wideband Arecibo Pulsar Processor (WAPP) at Arecibo
  • The Parkes and Jodrell Bank 1-bit filterbank formats
  • Berkeley-Caltech Pulsar Machine (BCPM) at the GBT (may it RIP...)
  • 8-bit filterbank format from SIGPROC (other formats will be added if required)
  • A time series composed of single precision (i.e. 4-byte) floating point data
  • Photon arrival times (or events) in ASCII or double-precision binary formats

[ascl:1606.013] Pulse Portraiture: Pulsar timing

Pulse Portraiture is a wideband pulsar timing code written in python. It uses an extension of the FFTFIT algorithm (Taylor 1992) to simultaneously measure a phase (TOA) and dispersion measure (DM). The code includes a Gaussian-component-based portrait modeling routine. The code uses the python interface to the pulsar data analysis package PSRCHIVE (ascl:1105.014) and also requires the non-linear least-squares minimization package lmfit (ascl:1606.014).

[ascl:1902.007] PINT: High-precision pulsar timing analysis package

PINT (PINT Is Not Tempo3) analyzes high-precision pulsar timing data, enabling interactive data analysis and providing an extensible and flexible development platform for timing applications. PINT utilizes well-debugged public Python packages and modern software development practices (e.g., the NumPy and Astropy libraries, version control and development with git and GitHub, and various types of testing) for increased development efficiency and enhanced stability. PINT has been developed and implemented completely independently from traditional pulsar timing software such as TEMPO (ascl:1509.002) and Tempo2 (ascl:1210.015) and is a robust tool for cross-checking timing analyses and simulating data.