Skip to main content

"High ENergy Data Reduction Interface from the Command Shell"

Project description

Build Status Build status Coverage Status Documentation Status

HENDRICS - High ENergy Data Reduction Interface from the Command Shell

Description

This set of command-line scripts based on Stingray is designed to do correctly and fairly easily a quick-look (spectral-)timing analysis of X-ray data, treating properly the gaps in the data due, e.g., to occultation from the Earth or passages through the SAA. Originally, its development as MaLTPyNT - Matteo’s Libraries and Tools in Python for NuSTAR Timing - was driven by the need of performing aperiodic timing analysis on NuSTAR data, whose long dead time made it difficult to treat power density spectra with the usual tools. By exploiting the presence of two independent detectors, one could use the cospectrum as a proxy for the power density spectrum (for an explanation of why this is important, look at Bachetti et al., ApJ, 800, 109 -arXiv:1409.3248).

Today, this set of command line scripts is much more complete and it is capable of working with the data of many more satellites. Among the features already implemented are power density and cross spectra, time lags, pulsar searches with the Epoch folding and the Z_n^2 statistics, color-color and color-intensity diagrams. More is in preparation: rms-energy, lag-energy, covariance-energy spectra, Lomb-Scargle periodograms and in general all that is available in Stingray. The analysis done in HENDRICS will be compatible with the graphical user interface DAVE, so that users will have the choice to analyze single datasets with an easy interactive interface, and continue the analysis in batch mode with HENDRICS. The periodograms produced by HENDRICS (like a power density spectrum or a cospectrum), can be saved in a format compatible with Xspec or Isis, for those who are familiar with those fitting packages. Despite its original main focus on NuSTAR, the software can be used to make standard aperiodic timing analysis on X-ray data from, in principle, any other satellite (for sure XMM-Newton and RXTE).

The documentation can be found here.

A tutorial is also available here.

Installation instructions

To install stable or beta releases:

$ pip install hendrics

For development versions:

$ git clone git@github.com/StingraySoftware/HENDRICS
$ cd HENDRICS
$ python setup.py install

License and notes for the users

This software is released with a 3-clause BSD license. You can find license information in the LICENSE.rst file.

If you use this software in a publication, please refer to its Astrophysics Source Code Library identifier:

  1. Bachetti, M. 2015, MaLTPyNT, Astrophysics Source Code Library, record ascl:1502.021.

In particular, if you use the cospectrum, please also refer to:

  1. Bachetti et al. 2015, ApJ , 800, 109.

If you have found a bug please report it by creating a new issue on the HENDRICS GitHub issue tracker.

Development guidelines

Please follow the development workflow for the Astropy project. In the hendrics/tests directory, there is a test suite called test_fullrun.py. These tests use the actual command line scripts, and should always pass (albeit with some adaptations). The other test suites, e.g. test_unit.py, tests the API.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

hendrics-5.0b2.tar.gz (30.9 MB view details)

Uploaded Source

File details

Details for the file hendrics-5.0b2.tar.gz.

File metadata

  • Download URL: hendrics-5.0b2.tar.gz
  • Upload date:
  • Size: 30.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/46.0.0.post20200309 requests-toolbelt/0.9.1 tqdm/4.37.0 CPython/3.7.5

File hashes

Hashes for hendrics-5.0b2.tar.gz
Algorithm Hash digest
SHA256 ea4a3f240d533210ef62dd34631387a9159b981f8bd93bc521e0744314898773
MD5 9ebda9a86347b203d7773992dc4fb512
BLAKE2b-256 bba7b0acb35bb1be026b4ca16d05951c78e4517a68aa193753305b28f58e8d63

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page