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paper.bib
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@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 framework (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 framework (3ML) aims to solve this issue, providing a common framework which allows for a coherent modeling of sources using all the available data, independent of their origin. 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%20framework%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
[email protected]. 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}
}