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  <a href="https://www.ict.inaf.it/gitlab/xmm-newton-proton-response-files/ProtonRMFSimAnalysis">
    <img src="AHEAD2020_logo.png" alt="AHEAD2020_logo" height="150">
     <img src="HORIZON2020_logo.png" alt="AHEAD2020_logo" height="150">
  </a>
  <h3 align="center">XMM-Newton proton response files</h3>

  <p align="center">
    XMM-Newton proton RMF and ARF files 
  </p>
</p>



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## Table of Contents

* [About the Project](#about-the-project)
* [Usage](#usage)
* [License](#license)
* [Contact](#contact)
* [Acknowledgements](#acknowledgements)



<!-- ABOUT THE PROJECT -->
## About The Project

AHEAD2020 · Horizon 2020 Research and Innovation Programme · GA 871158
WP 9.3.c "Understanding the interaction between soft protons and X-ray mirrors"

* Authors: V.Fioretti(1), T. Mineo(2), R. Amato(2), S. Lotti(3), C. Macculi(3), S. Molendi(4), F. Gastaldello(4), M. Cappi(1), M. Dadina(1), S. Ettori(1)
(1)INAF OAS Bologna, (2)INAF IASF Palermo, (3)INAF IAPS Roma, (4)INAF IASF Milano 

The proton response matrix for the XMM-Newton telescope is composed by a Redistribution Matrix File (RMF)
mapping the proton energy space (from tens to hundreds of keV) into detector pulse height and an Auxiliary Response File (ARF) 
collecting the grasp of the optics, the filter transmission efficiency and the detector quantum efficiency.

The files are formatted according to the NASA OGIP (Office of Guest Investigators Program) calibration database (caldb) format, and they are tested with the NASA HEASARC XSPEC analysis software tool.

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## Usage

The RMF and ARF files can be loaded with any X-ray analysis software compliant with the NASA caldb format.

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## License

* copyright            : (C) 2022 Valentina Fioretti INAF/OAS
* email                : valentina.fioretti@inaf.it



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## Contact

Valentina Fioretti (INAF OAS) - valentina.fioretti@inaf.it
Project Link: [https://ahead.iaps.inaf.it/](https://ahead.iaps.inaf.it/)



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## Acknowledgements
The research leading to these results has received funding from the European Union’s Horizon 2020 Programme under the AHEAD2020 project (grant agreement n. 871158).


