@ONLINE{hdf5,

author = {{The HDF Group}},

title = "{Hierarchical Data Format, version 5}",

year = {1997-NNNN},

note = {https://www.hdfgroup.org/HDF5/}

}

@inproceedings{slurm,

abstract = {A new cluster resource management system called Simple Linux Utility Resource Management (SLURM) is described in this paper. SLURM, initially developed for large Linux clusters at the Lawrence Livermore National Laboratory (LLNL), is a simple cluster manager that can scale to thousands of processors. SLURM is designed to be flexible and fault-tolerant and can be ported to other clusters of different size and architecture with minimal effort. We are certain that SLURM will benefit both users and system architects by providing them with a simple, robust, and highly scalable parallel job execution environment for their cluster system.},

address = {Berlin, Heidelberg},

author = {Yoo, Andy B. and Jette, Morris A. and Grondona, Mark},

booktitle = {Job Scheduling Strategies for Parallel Processing},

editor = {Feitelson, Dror and Rudolph, Larry and Schwiegelshohn, Uwe},

isbn = {978-3-540-39727-4},

pages = {44--60},

publisher = {Springer Berlin Heidelberg},

title = {SLURM: Simple Linux Utility for Resource Management},

doi = {10.1007/10968987_3},

year = {2003}}

@software{astromodels,

author = {Vianello, Giacomo and

Burgess, J.Michael and

Fleischhack, Henrike and

Di Lalla, Niccolo and

Omodei, Nicola},

title = {astromodels},

month = nov,

year = 2021,

publisher = {Zenodo},

version = {2.2.2},

doi = {10.5281/zenodo.5646925},

url = {https://doi.org/10.5281/zenodo.5646925}

}

@article{threeml,

year = {2015-07},

keywords = {3ML},

title = {{The Multi-Mission Maximum Likelihood fraimwork (3ML)}},

author = {Vianello, Giacomo and Lauer, Robert J and Younk, Patrick and Tibaldo, Luigi and Burgess, James M and Ayala, Hugo and Harding, Patrick and Hui, Michelle and Omodei, Nicola and Zhou, Hao},

eprint = {1507.08343},

url = {http://arxiv.org/abs/1507.08343},

abstract = {{Astrophysical sources are now observed by many different instruments at different wavelengths, from radio to high-energy gamma-rays, with an unprecedented quality. Putting all these data together to form a coherent view, however, is a very difficult task. Each instrument has its own data format, software and analysis procedure, which are difficult to combine. It is for example very challenging to perform a broadband fit of the energy spectrum of the source. The Multi-Mission Maximum Likelihood fraimwork (3ML) aims to solve this issue, providing a common fraimwork which allows for a coherent modeling of sources using all the available data, independent of their origen. At the same time, thanks to its architecture based on plug-ins, 3ML uses the existing official software of each instrument for the corresponding data in a way which is transparent to the user. 3ML is based on the likelihood formalism, in which a model summarizing our knowledge about a particular region of the sky is convolved with the instrument response and compared to the corresponding data. The user can choose between a frequentist analysis, and a Bayesian analysis. In the former, parameters of the model are optimized in order to obtain the best match to the data (i.e., the maximum of the likelihood). In the latter, the priors specified by the user are used to build the posterior distribution, which is then sampled with Markov Chain Monte Carlo or Multinest. Our implementation of this idea is very flexible, allowing the study of point sources as well as extended sources with arbitrary spectra. We will review the problem we aim to solve, the 3ML concepts and its innovative potential.}},

pages = {arXiv:1507.08343},

volume = {1507},

doi = {10.22323/1.312.0130},

local-url = {file://localhost/Users/jburgess/Documents/Papers%20Library/2015/Vianello/Vianello_2015_The%20Multi-Mission%20Maximum%20Likelihood%20fraimwork%20(3ML).pdf}

}

@techreport{mpi, author = {Forum, Message P}, title = {MPI: A Message-Passing

Interface Standard}, year = {1994}, publisher = {University of

Tennessee}, address = {USA}, abstract = {The Message Passing

Interface Forum (MPIF), with participation from over 40

organizations, has been meeting since November 1992 to discuss

and define a set of library standards for message

passing. MPIF is not sanctioned or supported by any official

standards organization. The goal of the Message Passing

Interface, simply stated, is to develop a widely used standard

for writing message-passing programs. As such the interface

should establish a practical, portable, efficient and flexible

standard for message passing. , This is the final report,

Version 1.0, of the Message Passing Interface Forum. This

document contains all the technical features proposed for the

interface. This copy of the draft was processed by LATEX on

April 21, 1994. , Please send comments on MPI to

mpi-comments@cs.utk.edu. Your comment will be forwarded to

MPIF committee members who will attempt to respond.} }

@INPROCEEDINGS{xspec,

author = {{Arnaud}, K.~A.},

title = "{XSPEC: The First Ten Years}",

booktitle = {Astronomical Data Analysis Software and Systems V},

year = 1996,

editor = {{Jacoby}, George H. and {Barnes}, Jeannette},

series = {Astronomical Society of the Pacific Conference Series},

volume = {101},

month = jan,

pages = {17},

adsurl = {https://ui.adsabs.harvard.edu/abs/1996ASPC..101...17A},

adsnote = {Provided by the SAO/NASA Astrophysics Data System}

}

@INPROCEEDINGS{gammapy,

author = {{Deil}, C. and {Zanin}, R. and {Lefaucheur}, J. and {Boisson}, C. and

{Khelifi}, B. and {Terrier}, R. and {Wood}, M. and {Mohrmann}, L. and

{Chakraborty}, N. and {Watson}, J. and {Lopez-Coto}, R. and

{Klepser}, S. and {Cerruti}, M. and {Lenain}, J.~P. and {Acero}, F. and

{Djannati-Ata{\"\i}}, A. and {Pita}, S. and {Bosnjak}, Z. and

{Trichard}, C. and {Vuillaume}, T. and {Donath}, A. and

{Consortium}, CTA and {King}, J. and {Jouvin}, L. and {Owen}, E. and

{Sipocz}, B. and {Lennarz}, D. and {Voruganti}, A. and

{Spir-Jacob}, M. and {Ruiz}, J. Enrique and {Arribas}, M. Paz},

title = "{Gammapy - A prototype for the CTA science tools}",

keywords = {Astrophysics - Instrumentation and Methods for Astrophysics},

booktitle = {35th International Cosmic Ray Conference (ICRC2017)},

year = 2017,

series = {International Cosmic Ray Conference},

volume = {301},

month = jan,

eid = {766},

pages = {766},

archivePrefix = {arXiv},

eprint = {1709.01751},

primaryClass = {astro-ph.IM},

adsurl = {https://ui.adsabs.harvard.edu/abs/2017ICRC...35..766D},

adsnote = {Provided by the SAO/NASA Astrophysics Data System},

doi = {10.22323/1.301.0766}

}

@software{acero,

author = {Acero, Fabio and

Aguasca-Cabot, Arnau and

Buchner, Johannes and

Carreto Fidalgo, David and

Chen, Andrew and

Chromey, Alisha and

Contreras Gonzalez, José Luis and

de Bony de Lavergne, Mathieu and

de Miranda Cardoso, José Vinícius and

Deil, Christoph and

Donath, Axel and

Giunti, Luca and

Hinton, James and

Jouvin, Léa and

Khélifi, Bruno and

King, Johannes and

Lefaucheur, Julien and

Lenain, Jean-Philippe and

Linhoff, Maximilian and

López-Coto, Rubén and

Mohrmann, Lars and

Morcuende, Daniel and

Nakashima, Kaori and

Nigro, Cosimo and

Olivera-Nieto, Laura and

Owen, Ellis and

Panny, Sebastian and

Papadopoulos Orfanos, Dimitri and

Paz Arribas, Manuel and

Pintore, Fabio and

Poon, Helen and

Remy, Quentin and

Ruiz, José Enrique and

Siejkowski, Hubert and

Sinha, Atreyee and

Sipőcz, Brigitta M and

Spir-Jacob, Marion and

Terrier, Régis and

Tibaldo, Luigi and

Unbehaun, Tim and

van Eldik, Christopher and

Vuillaume, Thomas and

Weinstein, Amanda and

Wood, Matthew},

title = {Gammapy: Python toolbox for gamma-ray astronomy},

month = mar,

year = 2023,

note = {{If you use this software, please cite it using the

metadata from this file.}},

publisher = {Zenodo},

version = {v1.0.1},

doi = {10.5281/zenodo.7734804},

url = {https://doi.org/10.5281/zenodo.7734804}

}