Pith. sign in

REVIEW 1 cited by

ixpeobssim: a Simulation and Analysis Framework for the Imaging X-ray Polarimetry Explorer

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2203.06384 v2 pith:55ZD2OT4 submitted 2022-03-12 astro-ph.IM astro-ph.HE

classification astro-ph.IMastro-ph.HE
keywords analysisframeworkixpeixpeobssimsimulationx-raycapabilitiesexplorer
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

ixpeobssim is a simulation and analysis framework, based on the Python programming language and the associated scientific ecosystem, specifically developed for the Imaging X-ray Polarimetry Explorer (IXPE). Given a source model and the response functions of the telescopes, it is designed to produce realistic simulated observations, in the form of event lists in FITS format, containing a strict super-set of the information provided by standard IXPE level-2 files. The core ixpeobssim simulation capabilities are complemented by a full suite of post-processing applications, allowing for the implementation of complex, polarization-aware analysis pipelines, and facilitating the inter-operation with the standard visualization and analysis tools traditionally in use by the X-ray community. We emphasize that, although a significant part of the framework is specific to IXPE, the modular nature of the underlying implementation makes it potentially straightforward to adapt it to different missions with polarization capabilities.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. The hitchhiker's guide to the IXPE data analysis

    astro-ph.HE 2026-04 conditional novelty 3.0 of 10

    A user-oriented guide that collects best practices, data formats, and analysis strategies for extracting polarimetric information from IXPE observations.

Pith tools