Galithesis.bib

@article{abbottGW170817ObservationGravitational2017,
  title = {{{GW170817}}: {{Observation}} of {{Gravitational Waves}} from a {{Binary Neutron Star Inspiral}}},
  shorttitle = {{{GW170817}}},
  author = {Abbott, B. P. and Abbott, R. and Abbott, T. D. and Acernese, F. and Ackley, K. and Adams, C. and Adams, T. and Addesso, P. and Adhikari, R. X. and Adya, V. B. and Affeldt, C. and Afrough, M. and Agarwal, B. and Agathos, M. and Agatsuma, K. and Aggarwal, N. and Aguiar, O. D. and Aiello, L. and Ain, A. and Ajith, P. and Allen, B. and Allen, G. and Allocca, A. and Altin, P. A. and Amato, A. and Ananyeva, A. and Anderson, S. B. and Anderson, W. G. and Angelova, S. V. and Antier, S. and Appert, S. and Arai, K. and Araya, M. C. and Areeda, J. S. and Arnaud, N. and Arun, K. G. and Ascenzi, S. and Ashton, G. and Ast, M. and Aston, S. M. and Astone, P. and Atallah, D. V. and Aufmuth, P. and Aulbert, C. and AultONeal, K. and Austin, C. and Avila-Alvarez, A. and Babak, S. and Bacon, P. and Bader, M. K. M. and Bae, S. and Bailes, M. and Baker, P. T. and Baldaccini, F. and Ballardin, G. and Ballmer, S. W. and Banagiri, S. and Barayoga, J. C. and Barclay, S. E. and Barish, B. C. and Barker, D. and Barkett, K. and Barone, F. and Barr, B. and Barsotti, L. and Barsuglia, M. and Barta, D. and Barthelmy, S. D. and Bartlett, J. and Bartos, I. and Bassiri, R. and Basti, A. and Batch, J. C. and Bawaj, M. and Bayley, J. C. and Bazzan, M. and Bécsy, B. and Beer, C. and Bejger, M. and Belahcene, I. and Bell, A. S. and Berger, B. K. and Bergmann, G. and Bernuzzi, S. and Bero, J. J. and Berry, C. P. L. and Bersanetti, D. and Bertolini, A. and Betzwieser, J. and Bhagwat, S. and Bhandare, R. and Bilenko, I. A. and Billingsley, G. and Billman, C. R. and Birch, J. and Birney, R. and Birnholtz, O. and Biscans, S. and Biscoveanu, S. and Bisht, A. and Bitossi, M. and Biwer, C. and Bizouard, M. A. and Blackburn, J. K. and Blackman, J. and Blair, C. D. and Blair, D. G. and Blair, R. M. and Bloemen, S. and Bock, O. and Bode, N. and Boer, M. and Bogaert, G. and Bohe, A. and Bondu, F. and Bonilla, E. and Bonnand, R. and Boom, B. A. and Bork, R. and Boschi, V. and Bose, S. and Bossie, K. and Bouffanais, Y. and Bozzi, A. and Bradaschia, C. and Brady, P. R. and Branchesi, M. and Brau, J. E. and Briant, T. and Brillet, A. and Brinkmann, M. and Brisson, V. and Brockill, P. and Broida, J. E. and Brooks, A. F. and Brown, D. A. and Brown, D. D. and Brunett, S. and Buchanan, C. C. and Buikema, A. and Bulik, T. and Bulten, H. J. and Buonanno, A. and Buskulic, D. and Buy, C. and Byer, R. L. and Cabero, M. and Cadonati, L. and Cagnoli, G. and Cahillane, C. and Calderón Bustillo, J. and Callister, T. A. and Calloni, E. and Camp, J. B. and Canepa, M. and Canizares, P. and Cannon, K. C. and Cao, H. and Cao, J. and Capano, C. D. and Capocasa, E. and Carbognani, F. and Caride, S. and Carney, M. F. and Carullo, G. and Casanueva Diaz, J. and Casentini, C. and Caudill, S. and Cavaglià, M. and Cavalier, F. and Cavalieri, R. and Cella, G. and Cepeda, C. B. and Cerdá-Durán, P. and Cerretani, G. and Cesarini, E. and Chamberlin, S. J. and Chan, M. and Chao, S. and Charlton, P. and Chase, E. and Chassande-Mottin, E. and Chatterjee, D. and Chatziioannou, K. and Cheeseboro, B. D. and Chen, H. Y. and Chen, X. and Chen, Y. and Cheng, H.-P. and Chia, H. and Chincarini, A. and Chiummo, A. and Chmiel, T. and Cho, H. S. and Cho, M. and Chow, J. H. and Christensen, N. and Chu, Q. and Chua, A. J. K. and Chua, S. and Chung, A. K. W. and Chung, S. and Ciani, G. and Ciolfi, R. and Cirelli, C. E. and Cirone, A. and Clara, F. and Clark, J. A. and Clearwater, P. and Cleva, F. and Cocchieri, C. and Coccia, E. and Cohadon, P.-F. and Cohen, D. and Colla, A. and Collette, C. G. and Cominsky, L. R. and Constancio, M. and Conti, L. and Cooper, S. J. and Corban, P. and Corbitt, T. R. and Cordero-Carrión, I. and Corley, K. R. and Cornish, N. and Corsi, A. and Cortese, S. and Costa, C. A. and Coughlin, M. W. and Coughlin, S. B. and Coulon, J.-P. and Countryman, S. T. and Couvares, P. and Covas, P. B. and Cowan, E. E. and Coward, D. M. and Cowart, M. J. and Coyne, D. C. and Coyne, R. and Creighton, J. D. E. and Creighton, T. D. and Cripe, J. and Crowder, S. G. and Cullen, T. J. and Cumming, A. and Cunningham, L. and Cuoco, E. and Dal Canton, T. and Dálya, G. and Danilishin, S. L. and D’Antonio, S. and Danzmann, K. and Dasgupta, A. and Da Silva Costa, C. F. and Dattilo, V. and Dave, I. and Davier, M. and Davis, D. and Daw, E. J. and Day, B. and De, S. and DeBra, D. and Degallaix, J. and De Laurentis, M. and Deléglise, S. and Del Pozzo, W. and Demos, N. and Denker, T. and Dent, T. and De Pietri, R. and Dergachev, V. and De Rosa, R. and DeRosa, R. T. and De Rossi, C. and DeSalvo, R. and de Varona, O. and Devenson, J. and Dhurandhar, S. and Díaz, M. C. and Dietrich, T. and Di Fiore, L. and Di Giovanni, M. and Di Girolamo, T. and Di Lieto, A. and Di Pace, S. and Di Palma, I. and Di Renzo, F. and Doctor, Z. and Dolique, V. and Donovan, F. and Dooley, K. 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  options = {useprefix=true},
  date = {2017-10-16},
  journaltitle = {Physical Review Letters},
  shortjournal = {Phys. Rev. Lett.},
  volume = {119},
  number = {16},
  pages = {161101},
  issn = {0031-9007, 1079-7114},
  doi = {10.1103/PhysRevLett.119.161101},
  url = {https://link.aps.org/doi/10.1103/PhysRevLett.119.161101},
  urldate = {2021-04-04},
  langid = {english},
  file = {/home/jacopo/Zotero/storage/P93SDVDI/Abbott et al_2017_GW170817.pdf}
}

@unpublished{bergerScaleneScriptingLanguageAware2020,
  title = {Scalene: {{Scripting-Language Aware Profiling}} for {{Python}}},
  shorttitle = {Scalene},
  author = {Berger, Emery D.},
  date = {2020-07-25},
  eprint = {2006.03879},
  eprinttype = {arxiv},
  primaryclass = {cs},
  url = {http://arxiv.org/abs/2006.03879},
  urldate = {2022-01-16},
  abstract = {Existing profilers for scripting languages (a.k.a. "glue" languages) like Python suffer from numerous problems that drastically limit their usefulness. They impose order-of-magnitude overheads, report information at too coarse a granularity, or fail in the face of threads. Worse, past profilers---essentially variants of their counterparts for C---are oblivious to the fact that optimizing code in scripting languages requires information about code spanning the divide between the scripting language and libraries written in compiled languages. This paper introduces scripting-language aware profiling, and presents Scalene, an implementation of scripting-language aware profiling for Python. Scalene employs a combination of sampling, inference, and disassembly of byte-codes to efficiently and precisely attribute execution time and memory usage to either Python, which developers can optimize, or library code, which they cannot. It includes a novel sampling memory allocator that reports line-level memory consumption and trends with low overhead, helping developers reduce footprints and identify leaks. Finally, it introduces a new metric, copy volume, to help developers root out insidious copying costs across the Python/library boundary, which can drastically degrade performance. Scalene works for single or multi-threaded Python code, is precise, reporting detailed information at the line granularity, while imposing modest overheads (26\%--53\%).},
  archiveprefix = {arXiv},
  keywords = {Computer Science - Programming Languages,Computer Science - Software Engineering},
  file = {/home/jacopo/Zotero/storage/4T7MFFEP/Berger_2020_Scalene.pdf;/home/jacopo/Zotero/storage/7IY42D49/2006.html}
}

@article{borhanianGwbenchNovelFisher2021,
  title = {Gwbench: A Novel {{Fisher}} Information Package for Gravitational-Wave Benchmarking},
  shorttitle = {Gwbench},
  author = {Borhanian, Ssohrab},
  date = {2021-08-19},
  journaltitle = {Classical and Quantum Gravity},
  shortjournal = {Class. Quantum Grav.},
  volume = {38},
  number = {17},
  eprint = {2010.15202},
  eprinttype = {arxiv},
  primaryclass = {gr-qc},
  pages = {175014},
  issn = {0264-9381, 1361-6382},
  doi = {10.1088/1361-6382/ac1618},
  url = {http://arxiv.org/abs/2010.15202},
  urldate = {2022-10-24},
  abstract = {We present a new Python package, gwbench, implementing the well-established Fisher information formalism as a fast and straightforward tool for the purpose of gravitational-wave benchmarking, i.e. the estimation of signal-to-noise ratios and measurement errors of gravitational waves observed by a network of detectors. Such an infrastructure is necessary due to the high computational cost of Bayesian parameter estimation methods which renders them less effective for the scientific assessment of gravitational waveforms, detectors, and networks of detectors, especially when determining their effects on large populations of gravitational-wave sources spread throughout the universe. gwbench further gives quick access to detector locations and sensitivities, while including the effects of Earth's rotation on the latter, as well as waveform models and their derivatives, while giving access to the host of waveforms available in the LSC Algorithm Library. With the provided functionality, gwbench is relevant for a wide variety of applications in gravitational-wave astronomy such as waveform modeling, detector development, cosmology, and tests of general relativity.},
  archiveprefix = {arXiv},
  keywords = {General Relativity and Quantum Cosmology},
  file = {/home/jacopo/Zotero/storage/ZP5LZRCH/Borhanian - 2021 - Gwbench a novel Fisher information package for gr.pdf;/home/jacopo/Zotero/storage/2AC3RVQG/2010.html}
}

@article{harmsGWFishSimulationSoftware2022,
  title = {{{GWFish}}: {{A}} Simulation Software to Evaluate Parameter-Estimation Capabilities of Gravitational-Wave Detector Networks},
  shorttitle = {{{GWFish}}},
  author = {Harms, Jan and Dupletsa, Ulyana and Banerjee, Biswajit and Branchesi, Marica and Goncharov, Boris and Maselli, Andrea and Oliveira, Ana Carolina Silva and Ronchini, Samuele and Tissino, Jacopo},
  date = {2022},
  keywords = {detector: network,Einstein Telescope,gravitational radiation detector: network,gravitational radiation: polarization,lunar,neutron star: binary,programming,statistical analysis},
  annotation = {\_eprint: 2205.02499},
  file = {/home/jacopo/Zotero/storage/X2PIWSK8/Harms et al. - 2022 - GWFish A simulation software to evaluate paramete.pdf}
}

@article{harmsLunarGravitationalwaveAntenna2021,
  title = {Lunar {{Gravitational-wave Antenna}}},
  author = {Harms, Jan and Ambrosino, Filippo and Angelini, Lorella and Braito, Valentina and Branchesi, Marica and Brocato, Enzo and Cappellaro, Enrico and Coccia, Eugenio and Coughlin, Michael and Ceca, Roberto Della and Valle, Massimo Della and Dionisio, Cesare and Federico, Costanzo and Formisano, Michelangelo and Frigeri, Alessandro and Grado, Aniello and Izzo, Luca and Marcelli, Augusto and Maselli, Andrea and Olivieri, Marco and Pernechele, Claudio and Possenti, Andrea and Ronchini, Samuele and Serafinelli, Roberto and Severgnini, Paola and Agostini, Maila and Badaracco, Francesca and Bertolini, Alessandro and Betti, Lorenzo and Civitani, Marta Maria and Collette, Christophe and Covino, Stefano and Dall'Osso, Simone and D'Avanzo, Paolo and DeSalvo, Riccardo and Giovanni, Matteo Di and Focardi, Mauro and Giunchi, Carlo and van Heijningen, Joris and Khetan, Nandita and Melini, Daniele and Mitri, Giuseppe and Mow-Lowry, Conor and Naponiello, Luca and Noce, Vladimiro and Oganesyan, Gor and Pace, Emanuele and Paik, Ho Jung and Pajewski, Alessandro and Palazzi, Eliana and Pallavicini, Marco and Pareschi, Giovanni and Pozzobon, Riccardo and Sharma, Ashish and Spada, Giorgio and Stanga, Ruggero and Tagliaferri, Gianpiero and Votta, Raffaele},
  date = {2021-03},
  journaltitle = {The Astrophysical Journal},
  shortjournal = {ApJ},
  volume = {910},
  number = {1},
  pages = {1},
  publisher = {{American Astronomical Society}},
  issn = {0004-637X},
  doi = {10.3847/1538-4357/abe5a7},
  url = {https://doi.org/10.3847/1538-4357/abe5a7},
  urldate = {2021-09-16},
  abstract = {Monitoring of vibrational eigenmodes of an elastic body excited by gravitational waves was one of the first concepts proposed for the detection of gravitational waves. At laboratory scale, these experiments became known as resonant bar detectors first developed by Joseph Weber in the 1960s. Due to the dimensions of these bars, the targeted signal frequencies were in the kHz range. Weber also pointed out that monitoring of vibrations of Earth or the Moon could reveal gravitational waves in the mHz band. His Lunar Surface Gravimeter experiment deployed on the Moon by the Apollo 17 crew had a technical failure, which greatly reduced the science scope of the experiment. In this article, we revisit the idea and propose a Lunar Gravitational-Wave Antenna (LGWA). We find that LGWA could become an important partner observatory for joint observations with the space-borne, laser-interferometric detector LISA and at the same time contribute an independent science case due to LGWA’s unique features. Technical challenges need to be overcome for the deployment of the experiment, and development of inertial vibration sensor technology lays out a future path for this exciting detector concept.},
  langid = {english},
  file = {/home/jacopo/Zotero/storage/SFXM74BH/Harms et al_2021_Lunar Gravitational-wave Antenna.pdf}
}

@misc{iacovelliForecastingDetectionCapabilities2022,
  title = {Forecasting the Detection Capabilities of Third-Generation Gravitational-Wave Detectors Using \$\textbackslash texttt\{\vphantom\}{{GWFAST}}\vphantom\{\}\$},
  author = {Iacovelli, Francesco and Mancarella, Michele and Foffa, Stefano and Maggiore, Michele},
  date = {2022-09-27},
  number = {arXiv:2207.02771},
  eprint = {2207.02771},
  eprinttype = {arxiv},
  primaryclass = {astro-ph, physics:gr-qc},
  publisher = {{arXiv}},
  doi = {10.48550/arXiv.2207.02771},
  url = {http://arxiv.org/abs/2207.02771},
  urldate = {2022-10-24},
  abstract = {We introduce \$\textbackslash texttt\{GWFAST\}\$, a novel Fisher-matrix code for gravitational-wave studies, tuned toward third-generation gravitational-wave detectors such as Einstein Telescope (ET) and Cosmic Explorer (CE). We use it to perform a comprehensive study of the capabilities of ET alone, and of a network made by ET and two CE detectors, as well as to provide forecasts for the forthcoming O4 run of the LVK collaboration. We consider binary neutron stars, binary black holes and neutron star-black hole binaries, and compute basic metrics such as the distribution of signal-to-noise ratio (SNR), the accuracy in the reconstruction of various parameters (including distance, sky localization, masses, spins and, for neutron stars, tidal deformabilities), and the redshift distribution of the detections for different thresholds in SNR and different levels of accuracy in localization and distance measurement. We examine the expected distribution and properties of `golden events', with especially large values of the SNR. We also pay special attention to the dependence of the results on astrophysical uncertainties and on various technical details (such as choice of waveforms, or the threshold in SNR), and we compare with other Fisher codes in the literature. In a companion paper we discuss the technical aspects of the code. Together with this paper, we publicly release the code \$\textbackslash texttt\{GWFAST\}\$ at https://github.com/CosmoStatGW/gwfast, and the library \$\textbackslash texttt\{WF4Py\}\$ implementing state-of-the-art gravitational-wave waveforms in pure \$\textbackslash texttt\{Python\}\$ at https://github.com/CosmoStatGW/WF4Py.},
  archiveprefix = {arXiv},
  keywords = {Astrophysics - Cosmology and Nongalactic Astrophysics,Astrophysics - High Energy Astrophysical Phenomena,General Relativity and Quantum Cosmology},
  file = {/home/jacopo/Zotero/storage/NJRVFNQ9/Iacovelli et al. - 2022 - Forecasting the detection capabilities of third-ge.pdf;/home/jacopo/Zotero/storage/ESD965X6/2207.html}
}

@article{iacovelliTextttGWFASTFisherInformation2022,
  title = {\$\textbackslash texttt\{\vphantom\}{{GWFAST}}\vphantom\{\}\$: A {{Fisher}} Information Matrix {{Python}} Code for Third-Generation Gravitational-Wave Detectors},
  shorttitle = {\$\textbackslash texttt\{\vphantom\}{{GWFAST}}\vphantom\{\}\$},
  author = {Iacovelli, Francesco and Mancarella, Michele and Foffa, Stefano and Maggiore, Michele},
  date = {2022-11-01},
  journaltitle = {The Astrophysical Journal Supplement Series},
  shortjournal = {ApJS},
  volume = {263},
  number = {1},
  eprint = {2207.06910},
  eprinttype = {arxiv},
  primaryclass = {astro-ph, physics:gr-qc},
  pages = {2},
  issn = {0067-0049, 1538-4365},
  doi = {10.3847/1538-4365/ac9129},
  url = {http://arxiv.org/abs/2207.06910},
  urldate = {2022-10-25},
  abstract = {We introduce \$\textbackslash texttt\{GWFAST\}\$, a Fisher information matrix \$\textbackslash texttt\{Python\}\$ code that allows easy and efficient estimation of signal-to-noise ratios and parameter measurement errors for large catalogs of resolved sources observed by networks of gravitational-wave detectors. In particular, \$\textbackslash texttt\{GWFAST\}\$ includes the effects of the Earth's motion during the evolution of the signal, supports parallel computation, and relies on automatic differentiation rather than on finite differences techniques, which allows the computation of derivatives with accuracy close to machine precision. We also release the library \$\textbackslash texttt\{WF4Py\}\$ implementing state-of-the-art gravitational-wave waveforms in \$\textbackslash texttt\{Python\}\$. In this paper we provide a documentation of \$\textbackslash texttt\{GWFAST\}\$ and \$\textbackslash texttt\{WF4Py\}\$ with practical examples and tests of performance and reliability. In a companion paper we present forecasts for the detection capabilities of the second and third generation of ground-based gravitational-wave detectors, obtained with \$\textbackslash texttt\{GWFAST\}\$.},
  archiveprefix = {arXiv},
  keywords = {Astrophysics - Cosmology and Nongalactic Astrophysics,Astrophysics - High Energy Astrophysical Phenomena,Astrophysics - Instrumentation and Methods for Astrophysics,General Relativity and Quantum Cosmology},
  file = {/home/jacopo/Zotero/storage/IFQAD8MP/Iacovelli et al. - 2022 - $texttt GWFAST $ a Fisher information matrix Pyt.pdf;/home/jacopo/Zotero/storage/WLCADEKS/2207.html}
}

@article{ligoscientificcollaborationandvirgocollaborationObservationGravitationalWaves2016,
  ids = {abbottObservationGravitationalWaves2016},
  title = {Observation of {{Gravitational Waves}} from a {{Binary Black Hole Merger}}},
  author = {{LIGO Scientific Collaboration and Virgo Collaboration} and Abbott, B. P. and Abbott, R. and Abbott, T. D. and Abernathy, M. R. and Acernese, F. and Ackley, K. and Adams, C. and Adams, T. and Addesso, P. and Adhikari, R. X. and Adya, V. B. and Affeldt, C. and Agathos, M. and Agatsuma, K. and Aggarwal, N. and Aguiar, O. D. and Aiello, L. and Ain, A. and Ajith, P. and Allen, B. and Allocca, A. and Altin, P. A. and Anderson, S. B. and Anderson, W. G. and Arai, K. and Arain, M. A. and Araya, M. C. and Arceneaux, C. C. and Areeda, J. S. and Arnaud, N. and Arun, K. G. and Ascenzi, S. and Ashton, G. and Ast, M. and Aston, S. M. and Astone, P. and Aufmuth, P. and Aulbert, C. and Babak, S. and Bacon, P. and Bader, M. K. M. and Baker, P. T. and Baldaccini, F. and Ballardin, G. and Ballmer, S. W. and Barayoga, J. C. and Barclay, S. E. and Barish, B. C. and Barker, D. and Barone, F. and Barr, B. and Barsotti, L. and Barsuglia, M. and Barta, D. and Bartlett, J. and Barton, M. A. and Bartos, I. and Bassiri, R. and Basti, A. and Batch, J. C. and Baune, C. and Bavigadda, V. and Bazzan, M. and Behnke, B. and Bejger, M. and Belczynski, C. and Bell, A. S. and Bell, C. J. and Berger, B. K. and Bergman, J. and Bergmann, G. and Berry, C. P. L. and Bersanetti, D. and Bertolini, A. and Betzwieser, J. and Bhagwat, S. and Bhandare, R. and Bilenko, I. A. and Billingsley, G. and Birch, J. and Birney, R. and Birnholtz, O. and Biscans, S. and Bisht, A. and Bitossi, M. and Biwer, C. and Bizouard, M. A. and Blackburn, J. K. and Blair, C. D. and Blair, D. G. and Blair, R. M. and Bloemen, S. and Bock, O. and Bodiya, T. P. and Boer, M. and Bogaert, G. and Bogan, C. and Bohe, A. and Bojtos, P. and Bond, C. and Bondu, F. and Bonnand, R. and Boom, B. A. and Bork, R. and Boschi, V. and Bose, S. and Bouffanais, Y. and Bozzi, A. and Bradaschia, C. and Brady, P. R. and Braginsky, V. B. and Branchesi, M. and Brau, J. E. and Briant, T. and Brillet, A. and Brinkmann, M. and Brisson, V. and Brockill, P. and Brooks, A. F. and Brown, D. A. and Brown, D. D. and Brown, N. M. and Buchanan, C. C. and Buikema, A. and Bulik, T. and Bulten, H. J. and Buonanno, A. and Buskulic, D. and Buy, C. and Byer, R. L. and Cabero, M. and Cadonati, L. and Cagnoli, G. and Cahillane, C. and Bustillo, J. Calderón and Callister, T. and Calloni, E. and Camp, J. B. and Cannon, K. C. and Cao, J. and Capano, C. D. and Capocasa, E. and Carbognani, F. and Caride, S. and Diaz, J. Casanueva and Casentini, C. and Caudill, S. and Cavaglià, M. and Cavalier, F. and Cavalieri, R. and Cella, G. and Cepeda, C. B. and Baiardi, L. Cerboni and Cerretani, G. and Cesarini, E. and Chakraborty, R. and Chalermsongsak, T. and Chamberlin, S. J. and Chan, M. and Chao, S. and Charlton, P. and Chassande-Mottin, E. and Chen, H. Y. and Chen, Y. and Cheng, C. and Chincarini, A. and Chiummo, A. and Cho, H. S. and Cho, M. and Chow, J. H. and Christensen, N. and Chu, Q. and Chua, S. and Chung, S. and Ciani, G. and Clara, F. and Clark, J. A. and Cleva, F. and Coccia, E. and Cohadon, P.-F. and Colla, A. and Collette, C. G. and Cominsky, L. and Constancio, M. and Conte, A. and Conti, L. and Cook, D. and Corbitt, T. R. and Cornish, N. and Corsi, A. and Cortese, S. and Costa, C. A. and Coughlin, M. W. and Coughlin, S. B. and Coulon, J.-P. and Countryman, S. T. and Couvares, P. and Cowan, E. E. and Coward, D. M. and Cowart, M. J. and Coyne, D. C. and Coyne, R. and Craig, K. and Creighton, J. D. E. and Creighton, T. D. and Cripe, J. and Crowder, S. G. and Cruise, A. M. and Cumming, A. and Cunningham, L. and Cuoco, E. and Canton, T. Dal and Danilishin, S. L. and D’Antonio, S. and Danzmann, K. and Darman, N. S. and Da Silva Costa, C. F. and Dattilo, V. and Dave, I. and Daveloza, H. P. and Davier, M. and Davies, G. S. and Daw, E. J. and Day, R. and De, S. and DeBra, D. and Debreczeni, G. and Degallaix, J. and De Laurentis, M. and Deléglise, S. and Del Pozzo, W. and Denker, T. and Dent, T. and Dereli, H. and Dergachev, V. and DeRosa, R. T. and De Rosa, R. and DeSalvo, R. and Dhurandhar, S. and Díaz, M. C. and Di Fiore, L. and Di Giovanni, M. and Di Lieto, A. and Di Pace, S. and Di Palma, I. and Di Virgilio, A. and Dojcinoski, G. and Dolique, V. and Donovan, F. and Dooley, K. L. and Doravari, S. and Douglas, R. and Downes, T. P. and Drago, M. and Drever, R. W. P. and Driggers, J. C. and Du, Z. and Ducrot, M. and Dwyer, S. E. and Edo, T. B. and Edwards, M. C. and Effler, A. and Eggenstein, H.-B. and Ehrens, P. and Eichholz, J. and Eikenberry, S. S. and Engels, W. and Essick, R. C. and Etzel, T. and Evans, M. and Evans, T. M. and Everett, R. and Factourovich, M. and Fafone, V. and Fair, H. and Fairhurst, S. and Fan, X. and Fang, Q. and Farinon, S. and Farr, B. and Farr, W. M. and Favata, M. and Fays, M. and Fehrmann, H. and Fejer, M. M. and Feldbaum, D. and Ferrante, I. and Ferreira, E. C. and Ferrini, F. and Fidecaro, F. and Finn, L. S. and Fiori, I. and Fiorucci, D. and Fisher, R. P. and Flaminio, R. and Fletcher, M. and Fong, H. and Fournier, J.-D. and Franco, S. and Frasca, S. and Frasconi, F. and Frede, M. and Frei, Z. and Freise, A. and Frey, R. and Frey, V. and Fricke, T. T. and Fritschel, P. and Frolov, V. V. and Fulda, P. and Fyffe, M. and Gabbard, H. A. G. and Gair, J. R. and Gammaitoni, L. and Gaonkar, S. G. and Garufi, F. and Gatto, A. and Gaur, G. and Gehrels, N. and Gemme, G. and Gendre, B. and Genin, E. and Gennai, A. and George, J. and Gergely, L. and Germain, V. and Ghosh, Abhirup and Ghosh, Archisman and Ghosh, S. and Giaime, J. A. and Giardina, K. D. and Giazotto, A. and Gill, K. and Glaefke, A. and Gleason, J. R. and Goetz, E. and Goetz, R. and Gondan, L. and González, G. and Castro, J. M. Gonzalez and Gopakumar, A. and Gordon, N. A. and Gorodetsky, M. L. and Gossan, S. E. and Gosselin, M. and Gouaty, R. and Graef, C. and Graff, P. B. and Granata, M. and Grant, A. and Gras, S. and Gray, C. and Greco, G. and Green, A. C. and Greenhalgh, R. J. S. and Groot, P. and Grote, H. and Grunewald, S. and Guidi, G. M. and Guo, X. and Gupta, A. and Gupta, M. K. and Gushwa, K. E. and Gustafson, E. K. and Gustafson, R. and Hacker, J. J. and Hall, B. R. and Hall, E. D. and Hammond, G. and Haney, M. and Hanke, M. M. and Hanks, J. and Hanna, C. and Hannam, M. D. and Hanson, J. and Hardwick, T. and Harms, J. and Harry, G. M. and Harry, I. W. and Hart, M. J. and Hartman, M. T. and Haster, C.-J. and Haughian, K. and Healy, J. and Heefner, J. and Heidmann, A. and Heintze, M. C. and Heinzel, G. and Heitmann, H. and Hello, P. and Hemming, G. and Hendry, M. and Heng, I. S. and Hennig, J. and Heptonstall, A. W. and Heurs, M. and Hild, S. and Hoak, D. and Hodge, K. A. and Hofman, D. and Hollitt, S. E. and Holt, K. and Holz, D. E. and Hopkins, P. and Hosken, D. J. and Hough, J. and Houston, E. A. and Howell, E. J. and Hu, Y. M. and Huang, S. and Huerta, E. A. and Huet, D. and Hughey, B. and Husa, S. and Huttner, S. H. and Huynh-Dinh, T. and Idrisy, A. and Indik, N. and Ingram, D. R. and Inta, R. and Isa, H. N. and Isac, J.-M. and Isi, M. and Islas, G. and Isogai, T. and Iyer, B. R. and Izumi, K. and Jacobson, M. B. and Jacqmin, T. and Jang, H. and Jani, K. and Jaranowski, P. and Jawahar, S. and Jiménez-Forteza, F. and Johnson, W. W. and Johnson-McDaniel, N. K. and Jones, D. I. and Jones, R. and Jonker, R. J. G. and Ju, L. and Haris, K. and Kalaghatgi, C. V. and Kalogera, V. and Kandhasamy, S. and Kang, G. and Kanner, J. B. and Karki, S. and Kasprzack, M. and Katsavounidis, E. and Katzman, W. and Kaufer, S. and Kaur, T. and Kawabe, K. and Kawazoe, F. and Kéfélian, F. and Kehl, M. S. and Keitel, D. and Kelley, D. B. and Kells, W. and Kennedy, R. and Keppel, D. G. and Key, J. 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F. and Libson, A. and Littenberg, T. B. and Lockerbie, N. A. and Logue, J. and Lombardi, A. L. and London, L. T. and Lord, J. E. and Lorenzini, M. and Loriette, V. and Lormand, M. and Losurdo, G. and Lough, J. D. and Lousto, C. O. and Lovelace, G. and Lück, H. and Lundgren, A. P. and Luo, J. and Lynch, R. and Ma, Y. and MacDonald, T. and Machenschalk, B. and MacInnis, M. and Macleod, D. M. and Magaña-Sandoval, F. and Magee, R. M. and Mageswaran, M. and Majorana, E. and Maksimovic, I. and Malvezzi, V. and Man, N. and Mandel, I. and Mandic, V. and Mangano, V. and Mansell, G. L. and Manske, M. and Mantovani, M. and Marchesoni, F. and Marion, F. and Márka, S. and Márka, Z. and Markosyan, A. S. and Maros, E. and Martelli, F. and Martellini, L. and Martin, I. W. and Martin, R. M. and Martynov, D. V. and Marx, J. N. and Mason, K. and Masserot, A. and Massinger, T. 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R. and Rapagnani, P. and Raymond, V. and Razzano, M. and Re, V. and Read, J. and Reed, C. M. and Regimbau, T. and Rei, L. and Reid, S. and Reitze, D. H. and Rew, H. and Reyes, S. D. and Ricci, F. and Riles, K. and Robertson, N. A. and Robie, R. and Robinet, F. and Rocchi, A. and Rolland, L. and Rollins, J. G. and Roma, V. J. and Romano, J. D. and Romano, R. and Romanov, G. and Romie, J. H. and Rosińska, D. and Rowan, S. and Rüdiger, A. and Ruggi, P. and Ryan, K. and Sachdev, S. and Sadecki, T. and Sadeghian, L. and Salconi, L. and Saleem, M. and Salemi, F. and Samajdar, A. and Sammut, L. and Sampson, L. M. and Sanchez, E. J. and Sandberg, V. and Sandeen, B. and Sanders, G. H. and Sanders, J. R. and Sassolas, B. and Sathyaprakash, B. S. and Saulson, P. R. and Sauter, O. and Savage, R. L. and Sawadsky, A. and Schale, P. and Schilling, R. and Schmidt, J. and Schmidt, P. and Schnabel, R. and Schofield, R. M. S. and Schönbeck, A. and Schreiber, E. and Schuette, D. and Schutz, B. 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H. and Winkelmann, L. and Winkler, W. and Wipf, C. C. and Wiseman, A. G. and Wittel, H. and Woan, G. and Worden, J. and Wright, J. L. and Wu, G. and Yablon, J. and Yakushin, I. and Yam, W. and Yamamoto, H. and Yancey, C. C. and Yap, M. J. and Yu, H. and Yvert, M. and Zadrożny, A. and Zangrando, L. and Zanolin, M. and Zendri, J.-P. and Zevin, M. and Zhang, F. and Zhang, L. and Zhang, M. and Zhang, Y. and Zhao, C. and Zhou, M. and Zhou, Z. and Zhu, X. J. and Zucker, M. E. and Zuraw, S. E. and Zweizig, J.},
  options = {useprefix=true},
  date = {2016-02-11},
  journaltitle = {Physical Review Letters},
  shortjournal = {Phys. Rev. Lett.},
  volume = {116},
  number = {6},
  pages = {061102},
  publisher = {{American Physical Society}},
  doi = {10.1103/PhysRevLett.116.061102},
  url = {https://link.aps.org/doi/10.1103/PhysRevLett.116.061102},
  urldate = {2020-03-23},
  abstract = {On September 14, 2015 at 09:50:45 UTC the two detectors of the Laser Interferometer Gravitational-Wave Observatory simultaneously observed a transient gravitational-wave signal. The signal sweeps upwards in frequency from 35 to 250 Hz with a peak gravitational-wave strain of 1.0×10−21. It matches the waveform predicted by general relativity for the inspiral and merger of a pair of black holes and the ringdown of the resulting single black hole. The signal was observed with a matched-filter signal-to-noise ratio of 24 and a false alarm rate estimated to be less than 1 event per 203 000 years, equivalent to a significance greater than 5.1σ. The source lies at a luminosity distance of 410+160−180 Mpc corresponding to a redshift z=0.09+0.03−0.04. In the source frame, the initial black hole masses are 36+5−4M⊙ and 29+4−4M⊙, and the final black hole mass is 62+4−4M⊙, with 3.0+0.5−0.5M⊙c2 radiated in gravitational waves. All uncertainties define 90\% credible intervals. These observations demonstrate the existence of binary stellar-mass black hole systems. This is the first direct detection of gravitational waves and the first observation of a binary black hole merger.},
  file = {/home/jacopo/Zotero/storage/6UMYNMD9/Abbott et al_2016_Observation of Gravitational Waves from a Binary Black Hole Merger.pdf;/home/jacopo/Zotero/storage/NJKEJ45F/LIGO Scientific Collaboration and Virgo Collaboration et al. - 2016 - Observation of Gravitational Waves from a Binary B.pdf;/home/jacopo/Zotero/storage/6PFQCG5K/PhysRevLett.116.html}
}

@book{maggioreGravitationalWavesVolume2007,
  title = {Gravitational {{Waves}}: {{Volume}} 1: {{Theory}} and {{Experiments}}},
  shorttitle = {Gravitational {{Waves}}},
  author = {Maggiore, Michele},
  date = {2007-11-24},
  edition = {1 edition},
  publisher = {{Oxford University Press}},
  location = {{Oxford}},
  abstract = {The aim of this book is to become THE reference text for gravitational-wave physics, covering in detail both the experimental and the theoretical aspects. It is he only existing book on gravitational waves, and it will likely remain unique for its broadeness and scope. It brings the reader to the forefront of present-day research, both theoretical and experimental, assuming no previous knowledge of gravitational-wave physics. Part I of this volume is devoted to the theory of gravitational waves. Here we have rederived - in a coherent way - most of the results that we present, clarifying or streamlining existing derivations. Part II is devoted to a description of experimental GW physics. We discuss in great detail exisiting and planned experiments, as well as data analysis techniques.},
  isbn = {978-0-19-857074-5},
  langid = {english},
  pagetotal = {576},
  file = {/home/jacopo/Zotero/storage/3KQXNB2L/Maggiore - 2007 - Gravitational Waves Volume 1 Theory and Experime.pdf;/home/jacopo/Zotero/storage/5XIDN4PR/Michele Maggiore - Gravitational Waves, Volume 1_ Theory and Experiments. 1-Oxford University Press (2008).pdf}
}

@book{martinCleanCodeHandbook2008,
  title = {Clean {{Code}}: {{A Handbook}} of {{Agile Software Craftsmanship}}},
  shorttitle = {Clean {{Code}}},
  author = {Martin, Robert C.},
  date = {2008-08-01},
  edition = {1st edition},
  publisher = {{Pearson}},
  location = {{Upper Saddle River, NJ}},
  isbn = {978-0-13-235088-4},
  langid = {english},
  pagetotal = {464},
  annotation = {https://gist.github.com/wojteklu/73c6914cc446146b8b533c0988cf8d29},
  file = {/home/jacopo/Zotero/storage/RSQFQHNV/Martin - 2008 - Clean Code A Handbook of Agile Software Craftsman.pdf}
}

@article{paridaComponentSeparationIsotropic2016,
  title = {Component Separation of a Isotropic {{Gravitational Wave Background}}},
  author = {Parida, Abhishek and Mitra, Sanjit and Jhingan, Sanjay},
  date = {2016-04},
  journaltitle = {Journal of Cosmology and Astroparticle Physics},
  shortjournal = {J. Cosmol. Astropart. Phys.},
  volume = {2016},
  number = {04},
  pages = {024},
  issn = {1475-7516},
  doi = {10.1088/1475-7516/2016/04/024},
  url = {https://dx.doi.org/10.1088/1475-7516/2016/04/024},
  urldate = {2022-10-21},
  abstract = {A Gravitational Wave Background (GWB) is expected in the universe from the superposition of a large number of unresolved astrophysical sources and phenomena in the early universe. Each component of the background (e.g., from primordial metric perturbations, binary neutron stars, milli-second pulsars etc.) has its own spectral shape. Many ongoing experiments aim to probe GWB at a variety of frequency bands. In the last two decades, using data from ground-based laser interferometric gravitational wave (GW) observatories, upper limits on GWB were placed in the frequency range of 0∼ 50−100 Hz, considering one spectral shape at a time. However, one strong component can significantly enhance the estimated strength of another component. Hence, estimation of the amplitudes of the components with different spectral shapes should be done jointly. Here we propose a method for “component separation” of a statistically isotropic background, that can, for the first time, jointly estimate the amplitudes of many components and place upper limits. The method is rather straightforward and needs negligible amount of computation. It utilises the linear relationship between the measurements and the amplitudes of the actual components, alleviating the need for a sampling based method, e.g., Markov Chain Monte Carlo (MCMC) or matched filtering, which are computationally intensive and cumbersome in a multi-dimensional parameter space. Using this formalism we could also study how many independent components can be separated using a given dataset from a network of current and upcoming ground based interferometric detectors.},
  langid = {english},
  file = {/home/jacopo/Zotero/storage/FTV8TQED/Parida et al. - 2016 - Component separation of a isotropic Gravitational .pdf}
}

@software{procidaDiataxisDocumentationFramework2022,
  title = {Diátaxis Documentation Framework},
  author = {Procida, Daniele},
  date = {2022-08-12T20:48:49Z},
  url = {https://diataxis.fr/},
  urldate = {2022-08-13},
  abstract = {"The Grand Unified Theory of Documentation" (David Laing) - a popular and transformative documentation authoring framework}
}