Speaker
Description
The wealth and complexity of X-ray data provided by modern observatories has seen a dramatic improvement in recent years, in part due to new facilities like NICER and IXPE. This trend will accelerate further with new techniques like polarimetry timing, as well as future missions like eXTP and Athena. On the other hand, the software modelling tools utilized by the community to model spectral timing data are mostly legacy stand-alone packages tailored to one-dimensional spectral analysis. In mu talk, I will discuss the development and alpha release of nDspec, a new Python-based modeling package designed to enable Xspec-style forward folding of models with multi-dimensional data in a computationally efficient fashion, and at the same time enabling users to utilize modern inference libraries for model fitting. I will demonstrate a sample application to a set of exising NICER data, and highlight how nDspec allows users to easily constrain a model impulse response function. Finally, I will discuss planned features for the software and the development time table.
| Affiliation | University of Amsterdam |
|---|---|
| m.lucchini@uva.nl |
