"High ENergy Data Reduction Interface from the Command Shell"

## 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. 2018, HENDRICS: High ENergy Data Reduction Interface from the Command Shell, record ascl:1805.019.

and please also cite stingray <https://stingray.science/stingray/citing.html>

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

### Source Distribution

hendrics-7.0.2.tar.gz (31.4 MB view hashes)

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### Built Distribution

hendrics-7.0.2-py3-none-any.whl (25.8 MB view hashes)

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