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W., & +Pfeiffer, H. P. (2017). Numerical Relativity Injection Infrastructure. +https://doi.org/10.48550/arXiv.1703.01076 + + + Advanced LIGO + Aasi + Classical and Quantum Gravity + 7 + 32 + 10.1088/0264-9381/32/7/074001 + 1361-6382 + 2015 + Aasi, J., Abbott, B. P., Abbott, R., +Abbott, T., Abernathy, M. R., Ackley, K., Adams, C., Adams, T., Addesso, +P., Adhikari, R. X., Adya, V., Affeldt, C., Aggarwal, N., Aguiar, O. D., +Ain, A., Ajith, P., Alemic, A., Allen, B., Amariutei, D., … Zweizig, J. +(2015). Advanced LIGO. Classical and Quantum Gravity, 32(7), 074001. +https://doi.org/10.1088/0264-9381/32/7/074001 + + + Advanced virgo: A second-generation +interferometric gravitational wave detector + Acernese + Classical and Quantum Gravity + 2 + 32 + 10.1088/0264-9381/32/2/024001 + 1361-6382 + 2014 + Acernese, F., Agathos, M., Agatsuma, +K., Aisa, D., Allemandou, N., Allocca, A., Amarni, J., Astone, P., +Balestri, G., Ballardin, G., Barone, F., Baronick, J.-P., Barsuglia, M., +Basti, A., Basti, F., Bauer, T. S., Bavigadda, V., Bejger, M., Beker, M. +G., … Zendri, J.-P. (2014). Advanced virgo: A second-generation +interferometric gravitational wave detector. Classical and Quantum +Gravity, 32(2), 024001. +https://doi.org/10.1088/0264-9381/32/2/024001 + + + Overview of KAGRA : KAGRA +science + Akutsu + 10.1093/ptep/ptaa120 + 2020 + Akutsu, T., Ando, M., Arai, K., Arai, +Y., Araki, S., Araya, A., Aritomi, N., Asada, H., Aso, Y., Bae, S., Bae, +Y., Baiotti, L., Bajpai, R., Barton, M. A., Cannon, K., Cao, Z., +Capocasa, E., Chan, M., Chen, C., … Zhu, Z. -H. (2020). Overview of +KAGRA : KAGRA science. +https://doi.org/10.1093/ptep/ptaa120 + + + Observation of gravitational waves from a +binary black hole merger + Abbott + Physical Review Letters + 6 + 116 + 10.1103/physrevlett.116.061102 + 1079-7114 + 2016 + Abbott, B. P., Abbott, R., Abbott, T. +D., Abernathy, M. R., Acernese, F., Ackley, K., Adams, C., Adams, T., +Addesso, P., Adhikari, R. X., Adya, V. B., Affeldt, C., Agathos, M., +Agatsuma, K., Aggarwal, N., Aguiar, O. D., Aiello, L., Ain, A., Ajith, +P., … Zweizig, J. (2016). Observation of gravitational waves from a +binary black hole merger. Physical Review Letters, 116(6). +https://doi.org/10.1103/physrevlett.116.061102 + + + GWTC-2: Compact binary coalescences observed +by LIGO and virgo during the first half of the third observing +run + Abbott + Physical Review X + 2 + 11 + 10.1103/physrevx.11.021053 + 2160-3308 + 2021 + Abbott, R., Abbott, T. D., Abraham, +S., Acernese, F., Ackley, K., Adams, A., Adams, C., Adhikari, R. X., +Adya, V. B., Affeldt, C., Agathos, M., Agatsuma, K., Aggarwal, N., +Aguiar, O. D., Aiello, L., Ain, A., Ajith, P., Akcay, S., Allen, G., … +Zweizig, J. (2021). GWTC-2: Compact binary coalescences observed by LIGO +and virgo during the first half of the third observing run. Physical +Review X, 11(2). +https://doi.org/10.1103/physrevx.11.021053 + + + GWTC-1: A gravitational-wave transient +catalog of compact binary mergers observed by LIGO and virgo during the +first and second observing runs + Abbott + Physical Review X + 3 + 9 + 10.1103/physrevx.9.031040 + 2160-3308 + 2019 + Abbott, B. P., Abbott, R., Abbott, T. +D., Abraham, S., Acernese, F., Ackley, K., Adams, C., Adhikari, R. X., +Adya, V. B., Affeldt, C., Agathos, M., Agatsuma, K., Aggarwal, N., +Aguiar, O. D., Aiello, L., Ain, A., Ajith, P., Allen, G., Allocca, A., … +Zweizig, J. (2019). 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(2023). +Second MAYA catalog of binary black hole numerical relativity waveforms. +https://doi.org/10.48550/arXiv.2309.00262 + + + Accuracy limitations of existing numerical +relativity waveforms on the data analysis of current and future +ground-based detectors + Jan + 10.48550/arXiv.2312.10241 + 2023 + Jan, A., Ferguson, D., Lange, J., +Shoemaker, D., & Zimmerman, A. (2023). Accuracy limitations of +existing numerical relativity waveforms on the data analysis of current +and future ground-based detectors. +https://doi.org/10.48550/arXiv.2312.10241 + + + Black hole - neutron star binary mergers: The +impact of stellar compactness + Tsao + 10.48550/arXiv.2404.09924 + 2024 + Tsao, B.-J., Khamesra, B., +Gracia-Linares, M., & Laguna, P. (2024). Black hole - neutron star +binary mergers: The impact of stellar compactness. +https://doi.org/10.48550/arXiv.2404.09924 + + + + + + From 40724b7e95c442f7759d0436e77e03c42b81f935 Mon Sep 17 00:00:00 2001 From: The Open Journals editorial robot <89919391+editorialbot@users.noreply.github.com> Date: Thu, 13 Jun 2024 00:54:47 +0100 Subject: [PATCH 3/3] Creating 10.21105.joss.06032.jats --- .../paper.jats/10.21105.joss.06032.jats | 10702 ++++++++++++++++ 1 file changed, 10702 insertions(+) create mode 100644 joss.06032/paper.jats/10.21105.joss.06032.jats diff --git a/joss.06032/paper.jats/10.21105.joss.06032.jats b/joss.06032/paper.jats/10.21105.joss.06032.jats new file mode 100644 index 0000000000..05e317acc9 --- /dev/null +++ b/joss.06032/paper.jats/10.21105.joss.06032.jats @@ -0,0 +1,10702 @@ + + +

    + + + + +Journal of Open Source Software +JOSS + +2475-9066 + +Open Journals + + + +6032 +10.21105/joss.06032 + +Mayawaves: Python Library for Interacting with the +Einstein Toolkit and the MAYA Catalog + + + +https://orcid.org/0000-0002-4406-591X + +Ferguson +Deborah + + + +* + + + +Anne +Surendra + + + + +https://orcid.org/0000-0002-5033-2973 + +Gracia-Linares +Miguel + + + + +https://orcid.org/0009-0008-1089-9239 + +Iglesias +Hector + + + + +https://orcid.org/0000-0003-2050-7231 + +Jan +Aasim + + + + + +Martinez +Erick + + + + + +Lu +Lu + + + + + +Meoni +Filippo + + + + + +Nowicki +Ryan + + + + +https://orcid.org/0000-0001-9743-0303 + +Trostel +Max L. + + + + +https://orcid.org/0000-0003-4614-0378 + +Tsao +Bing-Jyun + + + + + +Valorz +Finny + + + + + +University of Texas at Austin, Austin TX, USA + + + + +University of Illinois Urbana-Champaign, Urbana IL, +USA + + + + +* E-mail: + + +12 +6 +2024 + +9 +98 +6032 + +Authors of papers retain copyright and release the +work under a Creative Commons Attribution 4.0 International License (CC +BY 4.0) +2022 +The article authors + +Authors of papers retain copyright and release the work under +a Creative Commons Attribution 4.0 International License (CC BY +4.0) + + + +Python +Numerical Relativity +Gravitational Waves +Black Holes + + + + + + Summary +

    Einstein’s Theory of General Relativity (GR) dictates how matter + responds to the curvature of space-time and how space-time curves due + to matter. From GR came the prediction that orbiting massive objects + would create ripples in space-time called gravitational waves (GW). In + 2015, the Laser Interferometer Gravitational-Wave Observatory (LIGO) + (Aasi + et al., 2015) detected the first such GW signal from merging + binary black holes (BBHs) + (B. + P. Abbott, Abbott, Abbott, Abernathy, Acernese, Ackley, Adams, Adams, + Addesso, Adhikari, Adya, Affeldt, Agathos, Agatsuma, Aggarwal, Aguiar, + Aiello, Ain, Ajith, Allen, Allocca, Altin, Anderson, Anderson, Arai, + Arain, et al., 2016), and in the years since, the LIGO, Virgo, + and KAGRA Collaborations (LVK) have accumulated 90 detections of + merging compact objects + (B. + P. Abbott et al., 2019; + R. + Abbott et al., 2021, + 2023; + Acernese + et al., 2014; + Akutsu + et al., 2020). Extracting these signals from noise and using + them to infer the parameters of coalescing black holes (BHs) relies + upon having vast template banks that accurately predict the expected + GWs + (B. + P. Abbott, Abbott, Abbott, Abernathy, Acernese, Ackley, Adams, Adams, + Addesso, Adhikari, Adya, Affeldt, Agathos, Agatsuma, Aggarwal, Aguiar, + Aiello, Ain, Ajith, Allen, Allocca, Altin, Anderson, Anderson, Arai, + Araya, et al., 2016; + B. + P. Abbott et al., 2017, + 2020; + Blackman + et al., 2017; + Bohé + et al., 2017; + Hannam + et al., 2014; + Husa + et al., 2016; + Khan + et al., 2016; + Lange + et al., 2017; + Schmidt + et al., 2017; + Shibata + et al., 2017).

    +

    While analytic solutions exist for the simplest cases within GR, + e.g. single BHs, merging BBHs have no analytic solution. Approximate + methods can be used when the BHs are far apart or have highly unequal + masses, but the coalescence of BHs of comparable mass must be solved + computationally. Numerical relativity (NR) simulations accomplish this + by evolving a BBH space-time on supercomputers, enabling us to study + the dynamics of BBH systems as well as predict the GWs they emit. The + Einstein Toolkit (ETK) is a set of tools created to perform these NR + simulations + (Löffler + et al., 2012), and MAYA is a branch of + ETK used by the MAYA collaboration + (Ferguson + et al., 2023; + Healy + et al., 2009; + Herrmann + et al., 2007; + Jani + et al., 2016; + Pekowsky + et al., 2013; + Vaishnav + et al., 2007). The Einstein Toolkit is a finite-differencing + code, evolved using the BSSN formulation + (Baumgarte + & Shapiro, 1998; + Shibata + & Nakamura, 1995). It is built upon the Cactus + infrastructure + (Goodale + et al., 2003) with Carpet mesh refinement + (Schnetter + et al., 2004).

    +

    These tools allow us to study the coalescence of compact objects, + their evolution, and the gravitational radiation they emit. The + Mayawaves library introduced in this paper is + an analysis pipeline used to process and analyze such NR simulations, + specifically for BBHs.

    +     + + Statement of need +

    NR simulations are crucial for studying BHs and have been + instrumental in the detection of GWs by the LVK. However, these + simulations produce vast amounts of data that must be processed in + order to perform studies, create models, and use them with GW + detection pipelines. Additionally, given the complexity of these + simulations, they are typically performed for many days or weeks + across many processors, leading to data which is split into several + output directories and files. Sifting through all this data can be + overwhelming for newcomers to the field and is cumbersome for even the + most experienced numerical relativists. While it can be important to + develop an understanding of these files and their complexities, in + many situations, a simpler, more streamlined workflow is + beneficial.

    +

    Mayawaves is an open-source Python library + for processing, studying, and exporting NR simulations performed using + ETK and MAYA. While other tools exist to + analyze ETK simulations including, but not limited to, Kuibit + (Bozzola, + 2021), POWER + (Johnson + et al., 2017), PyCactus + (Kastaun, + 2021), and SimulationTools + (Hinder + & Wardell, n.d.), Mayawaves is + unique in the way it not only streamlines simulation analysis but also + the production of NR catalogs. Mayawaves builds + upon the existing set of tools, creating a new Python library designed + for convenience and intuition, while still being versatile and + powerful enough to perform more complex analyses. It interacts + effortlessly with the MAYA waveform catalog and + also easily exports ETK simulations to the LVK catalog of NR + waveforms. The architecture of Mayawaves is + easily extensible, designed to naturally grow to encompass more types + of simulation output. One of the ways in which + Mayawaves has uniquely improved the NR analysis + infrastructure is that it stitches together raw NR simulations and + stores them in HDF5 files, a format that handles numerical data more + efficiently than ASCII. This significantly reduces the disc space + taken by simulations while still retaining the precision of the raw + data. By preprocessing the simulations into this format, the library + also reduces computational time for future analysis, as the data only + has to be stitched once. It also keeps all the data organized in one + place, making it easier to share and distribute simulations.

    +

    When using the library to interact with a simulation, the user does + not need to be familiar with all the types of output files generated + by the simulation, but rather, can think in terms of physical concepts + such as coalescences and compact + objects. This dramatically reduces the barrier to entry for + the field of NR. Some of the key functionalities of this library are + as follows:

    + + +

    read and stitch raw NR data

    +     + +

    store NR data in a more efficient format

    +     + +

    track properties of the BHs (trajectories, spins, masses, + horizon information, etc.)

    +     + +

    compute information about the binary orbit (eccentricity, + separation, orbital frequency, kick, etc.)

    +     + +

    compute quantities pertaining to the gravitational radiation + ( + + Ψ4, + strain, extrapolated strain, energy radiated, etc.)

    +     + +

    export NR data to the format required for LIGO analyses

    +     + +

    analyze the MAYA waveform catalog

    +     +     +

    The Coalescence class is the fundamental + basis for Mayawaves. It represents the entirety + of the BBH coalescence and serves as the interface between the user + and the simulation data. The main data format used with + mayawaves is an HDF5 file constructed from the + raw simulation data. With this HDF5 file in hand, the user need only + create a Coalescence object and then proceed + with analyzing the data.

    +

    Each Coalescence object contains + CompactObjects associated with each of the + merging bodies as well as any remnant object. Through these + CompactObjects, the user can track the objects’ + positions, spins, masses, etc. All radiative information is stored + within the RadiationBundle class. Each + Coalescence object contains a + RadiationBundle and uses it to compute GW + strain, energy radiated, etc.

    +

    A number of utility modules are included to create effortless + workflows that can move from raw simulations to community standard + formats. A typical workflow would be to use the + PostProcessingUtils functions to create the + HDF5 file from the raw simulation data, use the + Coalescence class to read that HDF5 file and + analyze the simulation, and finally export the + Coalescence object to another format such as + that required by the LVK catalog + (Schmidt + et al., 2017).

    +

    Mayawaves is also the primary way to + interact with the MAYA Public Catalog of NR waveforms + (Ferguson + et al., 2023) hosted at https://cgp.ph.utexas.edu/waveform. The + simulations are stored in the Mayawaves HDF5 + file format, and can be read using the + Coalescence class. + Mayawaves has a + CatalogUtils module for interacting with the + MAYA waveform catalog. This module includes functions for accessing + and plotting the metadata for the entire catalog as well as functions + to download simulations from the catalog.

    +

    Several papers have already been released using the + Mayawaves library for their analysis including + the Second MAYA Catalog of NR Waveforms + (Ferguson + et al., 2023), a study of the impact of NR errors on GW + parameter estimation + (Jan + et al., 2023), and a study of the impact of neutron star + compactness when a neutron star merges with a BH + (Tsao + et al., 2024).

    +

    Mayawaves is open source and is designed to + be easily extensible, and we look forward to additional contributions + from the ETK community.

    +     + + Acknowledgements +

    The authors thank Deirdre Shoemaker, Pablo Laguna, and Helvi Witek + for their support throughout the duration of this code development. + The work presented in this paper was possible due to grants NASA + 80NSSC21K0900, NSF 2207780 and NSF 2114582. This work was done by + members of the Weinberg Institute and has an identifier of + UTW1-33-2023.

    +     + + + + + + + + SchmidtPatricia + HarryIan W. + PfeifferHarald P. + + Numerical Relativity Injection Infrastructure + 201703 + https://arxiv.org/abs/1703.01076 + 10.48550/arXiv.1703.01076 + + + + + + AasiJ + AbbottB P + AbbottR + AbbottT + AbernathyM R + AckleyK + AdamsC + AdamsT + AddessoP + AdhikariR X + AdyaV + AffeldtC + AggarwalN + AguiarO D + AinA + AjithP + AlemicA + AllenB + AmariuteiD + AndersonS B + AndersonW G + AraiK + ArayaM C + ArceneauxC + AreedaJ S + AshtonG + AstS + AstonS M + AufmuthP + AulbertC + AylottB E + BabakS + BakerP T + BallmerS W + BarayogaJ C + BarbetM + BarclayS + BarishB C + BarkerD + BarrB + BarsottiL + BartlettJ + BartonM A + BartosI + BassiriR + BatchJ C + BauneC + BehnkeB + BellA S + BellC + BenacquistaM + BergmanJ + BergmannG + BerryC P L + BetzwieserJ + BhagwatS + BhandareR + BilenkoI A + BillingsleyG + BirchJ + BiscansS + BiwerC + BlackburnJ K + BlackburnL + BlairC D + BlairD + BockO + BodiyaT P + BojtosP + BondC + BorkR + BornM + 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