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1. Cosmology with the Laser Interferometer Space Antenna

Author: Pierre Auclair, David Bacon, Tessa Baker, Tiago Barreiro, Nicola Bartolo, Enis Belgacem, Nicola Bellomo, Ido Ben-Dayan, Daniele Bertacca, Marc Besancon, Jose J. Blanco-Pillado, Diego Blas, Guillaume Boileau, Gianluca Calcagni, Robert Caldwell, Chiara Caprini, Carmelita Carbone, Chia-Feng Chang, Hsin-Yu Chen, Nelson Christensen, Sebastien Clesse, Denis Comelli, Giuseppe Congedo, Carlo Contaldi, Marco Crisostomi, Djuna Croon, Yanou Cui, Giulia Cusin, Daniel Cutting, Charles Dalang, Valerio De Luca, Walter Del Pozzo, Vincent Desjacques, Emanuela Dimastrogiovanni, Glauber C. Dorsch, Jose Maria Ezquiaga, Matteo Fasiello, Daniel G. Figueroa, Raphael Flauger, Gabriele Franciolini, Noemi Frusciante, Jacopo Fumagalli, Juan García-Bellido, Oliver Gould, Daniel Holz, Laura Iacconi, Rajeev Kumar Jain, Alexander C. Jenkins, Ryusuke Jinno, Cristian Joana, Nikolaos Karnesis, Thomas Konstandin, Kazuya Koyama, Jonathan Kozaczuk, Sachiko Kuroyanagi, Danny Laghi, Marek Lewicki, Lucas Lombriser, Eric Madge, Michele Maggiore, Ameek Malhotra, Michele Mancarella, Vuk Mandic, Alberto Mangiagli, Sabino Matarrese, Anupam Mazumdar, Suvodip Mukherjee, Ilia Musco, Germano Nardini, Jose Miguel No, Theodoros Papanikolaou, Marco Peloso, Mauro Pieroni, Luigi Pilo, Alvise Raccanelli, Sébastien Renaux-Petel, Arianna I. Renzini, Angelo Ricciardone, Antonio Riotto, Joseph D. Romano, Rocco Rollo, Alberto Roper Pol, Ester Ruiz Morales, Mairi Sakellariadou, Ippocratis D. Saltas, Marco Scalisi, Kai Schmitz, Pedro Schwaller, Olga Sergijenko, Geraldine Servant, Peera Simakachorn, Lorenzo Sorbo, Lara Sousa, Lorenzo Speri, Danièle A. Steer, Nicola Tamanini, Gianmassimo Tasinato, Jesús Torrado, Caner Unal, Vincent Vennin, Daniele Vernieri, Filippo Vernizzi, Marta Volonteri, Jeremy M. Wachter, David Wands, Lukas T. Witkowski, Miguel Zumalacárregui, James Annis, Fëanor Reuben Ares, Pedro P. Avelino, Anastasios Avgoustidis, Enrico Barausse, Alexander Bonilla, Camille Bonvin, Pasquale Bosso, Matteo Calabrese, Mesut Çalışkan, Jose A. R. Cembranos, Mikael Chala, David Chernoff, Katy Clough, Alexander Criswell, Saurya Das, Antonio da Silva, Pratika Dayal, Valerie Domcke, Ruth Durrer, Richard Easther, Stephanie Escoffier, Sandrine Ferrans, Chris Fryer, Jonathan Gair, Chris Gordon, Martin Hendry, Mark Hindmarsh, Deanna C. Hooper, Eric Kajfasz, Joachim Kopp, Savvas M. Koushiappas, Utkarsh Kumar, Martin Kunz, Macarena Lagos, Marc Lilley, Joanes Lizarraga, Francisco S. N. Lobo, Azadeh Maleknejad, C. J. A. P. Martins, P. Daniel Meerburg, Renate Meyer, José Pedro Mimoso, Savvas Nesseris, Nelson Nunes, Vasilis Oikonomou, Giorgio Orlando, Ogan Özsoy, Fabio Pacucci, Antonella Palmese, Antoine Petiteau, Lucas Pinol, Simon Portegies Zwart, Geraint Pratten, Tomislav Prokopec, John Quenby, Saeed Rastgoo, Diederik Roest, Kari Rummukainen, Carlo Schimd, Aurélia Secroun, Alberto Sesana, Carlos F. Sopuerta, Ismael Tereno, Andrew Tolley, Jon Urrestilla, Elias C. Vagenas, Jorinde van de Vis, Rien van de Weygaert, Barry Wardell, David J. Weir, Graham White, Bogumiła Świeżewska, Valery I. Zhdanov, and The LISA Cosmology Working Group
Subjects: Laser Interferometer Space Antenna (LISA), Cosmology, Atomic physics. Constitution and properties of matter, QC170-197
Abstract: Abstract The Laser Interferometer Space Antenna (LISA) has two scientific objectives of cosmological focus: to probe the expansion rate of the universe, and to understand stochastic gravitational-wave backgrounds and their implications for early universe and particle physics, from the MeV to the Planck scale. However, the range of potential cosmological applications of gravitational-wave observations extends well beyond these two objectives. This publication presents a summary of the state of the art in LISA cosmology, theory and methods, and identifies new opportunities to use gravitational-wave observations by LISA to probe the universe.
Published: 2023
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2. Cosmology and fundamental physics with the Euclid satellite

Author: Luca Amendola, Stephen Appleby, Anastasios Avgoustidis, David Bacon, Tessa Baker, Marco Baldi, Nicola Bartolo, Alain Blanchard, Camille Bonvin, Stefano Borgani, Enzo Branchini, Clare Burrage, Stefano Camera, Carmelita Carbone, Luciano Casarini, Mark Cropper, Claudia de Rham, Jörg P. Dietrich, Cinzia Di Porto, Ruth Durrer, Anne Ealet, Pedro G. Ferreira, Fabio Finelli, Juan García-Bellido, Tommaso Giannantonio, Luigi Guzzo, Alan Heavens, Lavinia Heisenberg, Catherine Heymans, Henk Hoekstra, Lukas Hollenstein, Rory Holmes, Zhiqi Hwang, Knud Jahnke, Thomas D. Kitching, Tomi Koivisto, Martin Kunz, Giuseppe La Vacca, Eric Linder, Marisa March, Valerio Marra, Carlos Martins, Elisabetta Majerotto, Dida Markovic, David Marsh, Federico Marulli, Richard Massey, Yannick Mellier, Francesco Montanari, David F. Mota, Nelson J. Nunes, Will Percival, Valeria Pettorino, Cristiano Porciani, Claudia Quercellini, Justin Read, Massimiliano Rinaldi, Domenico Sapone, Ignacy Sawicki, Roberto Scaramella, Constantinos Skordis, Fergus Simpson, Andy Taylor, Shaun Thomas, Roberto Trotta, Licia Verde, Filippo Vernizzi, Adrian Vollmer, Yun Wang, Jochen Weller, Tom Zlosnik, and The Euclid Theory Working Group
Subjects: Dark energy, Cosmology, Galaxy evolution, Atomic physics. Constitution and properties of matter, QC170-197
Abstract: Abstract Euclid is a European Space Agency medium-class mission selected for launch in 2020 within the cosmic vision 2015–2025 program. The main goal of Euclid is to understand the origin of the accelerated expansion of the universe. Euclid will explore the expansion history of the universe and the evolution of cosmic structures by measuring shapes and red-shifts of galaxies as well as the distribution of clusters of galaxies over a large fraction of the sky. Although the main driver for Euclid is the nature of dark energy, Euclid science covers a vast range of topics, from cosmology to galaxy evolution to planetary research. In this review we focus on cosmology and fundamental physics, with a strong emphasis on science beyond the current standard models. We discuss five broad topics: dark energy and modified gravity, dark matter, initial conditions, basic assumptions and questions of methodology in the data analysis. This review has been planned and carried out within Euclid’s Theory Working Group and is meant to provide a guide to the scientific themes that will underlie the activity of the group during the preparation of the Euclid mission.
Published: 2018
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3. Inadequate knowledge about snakebite envenoming symptoms and application of harmful first aid methods in the community in high snakebite incidence areas of Myanmar.

Author: Mohammad Afzal Mahmood, Dale Halliday, Robert Cumming, Khin Thida Thwin, Mya Myitzu, Julian White, Sam Alfred, David A Warrell, David Bacon, Win Naing, Htay Aung, Myat Myat Thein, Nyein Nyein Chit, Sara Serhal, Myat Thet Nwe, Pyae Phyo Aung, and Chen Au Peh
Subjects: Arctic medicine. Tropical medicine, RC955-962, Public aspects of medicine, RA1-1270
Abstract: INTRODUCTION:Every year millions of people in developing countries suffer from snakebite, causing a large number of deaths and long term complications. Prevention and appropriate first aid could reduce the incidence and improve the health outcomes for those who suffer bites. However, many communities where snakebite is a major issue suffer from a lack of information about prevention and first aid measures that a family or community member could take to prevent severe envenoming, complications and poor outcomes. Myanmar suffers from a high burden of snakebites with a large number of deaths. As part of a health services and community development program, a community survey was conducted to identify communities' knowledge about snakebite and their sequelae, and knowledge and practice about first aid and health services use. METHOD:4,276 rural residents of Kyaukse and Madaya townships in the Mandalay region were recruited by cluster sampling, involving random selection of 144 villages and random sampling of 30 households from each village. One adult member of each household was interviewed using a structured questionnaire. RESULTS:The incidence of snakebite was 116/100,000 people. Respondents reported 15 different types of snakes in the area, with Russell's Viper, Cobra and Green snakes as the most common. 88% of the people informed that working in the fields and forests was when most of the bites occur. A majority knew about snakebite prevention methods such as wearing long boots. However, only a few people knew about the specific symptoms caused by snakebites. Only 39% knew about the correct methods of first aid. More than 60% mentioned tourniquet as a first aid method, though this may cause significant complications such as ischaemia of the limb. 88% said that they would take a snakebite victim to a government hospital, and 58% mentioned availability of antivenom as the reason for doing this. At the same time, the majority mentioned that traditional methods existed for first aid and treatment and 25% mentioned at least one harmful traditional method as an effective measure that they might use. CONCLUSION:The community is aware of snakebites as a major public health issue and know how to prevent them. However, the high incidence of snakebites point to lack of application of preventive methods. The community recognise the need for treatment with antivenom. However, inadequate knowledge about appropriate first aid methods, and a reliance on using tourniquets require a targeted education program. Existing knowledge in communities, albeit insufficient, provides a good starting point for mass media educational campaigns.
Published: 2019
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4. A comprehensive approach to managing a neglected, neglected tropical disease; The Myanmar Snakebite Project (MSP)

Author: Julian White, Mohammad Afzal Mahmood, Sam Alfred, Khin Thida Thwin, Khin Maung Kyaw, Aung Zaw, David Warrell, Robert Cumming, John Moody, Debbie Eagles, Keiran Ragas, Nathan Dunstan, David Bacon, Plinio Hurtado, and Chen Au Peh
Subjects: Toxicology. Poisons, RA1190-1270
Abstract: Snakebite is predominantly an occupational disease affecting poor rural farmers in tropical regions and was recently added to the World Health Organisation list of Neglected Tropical Diseases (NTD). We document an overview of methodologies developed and deployed in the Myanmar Snakebite Project, a foreign aid project largely funded by the Australian Government, with the core aim to “improve outcomes for snakebite patients”. A multidisciplinary team of experts was assembled that worked in a collaborative manner with colleagues in Myanmar, first to identify problems related to managing snakebite and then develop interventions aimed to improve selected problem areas. A broad approach was adopted, covering antivenom production, antivenom distribution and health system management of snakebite. Problems identified in antivenom production included poor snake husbandry resulting in poor survival of captive specimens, lack of geographical diversity; poor horse husbandry, resulting in high mortality, inadequate stock acquisition protocols and data collection, and inappropriate immunisation and bleeding techniques; and inadequate production capacity for freeze dried antivenoms and quality control systems. These problems were addressed in various ways, resulting in some substantial improvements. Antivenom distribution is being reorganised to achieve better availability and utilisation of stock. Health system management of snakebite was assessed across all levels within the area selected for the study, in Mandalay region. A comprehensive community survey indicated that hospital statistics substantially underestimated the snakebite burden, and that access to care by local villagers was delayed by transport and cost issues compounded by lack of antivenom at the most peripheral level of the health service. A health system survey confirmed under-resourcing at the local village level. Prospective case data collection initiated at tertiary hospitals indicated the extent of the snakebite burden on health resources. Interventions initiated or planned include training of health staff, development of a core of senior trainers who can “train the trainers” nationwide in a sustainable way, development and deployment of management guidelines and algorithms for snakebite and a distribution of solar powered fridges to remote health facilities to allow storage of antivenom and prompt treatment of snakebite cases before transfer to major hospitals, thereby reducing the “bite to needle” time. Keywords: Snakebite, Antivenom, Prospective clinical studies, Community evaluation, Health services development, Training
Published: 2019
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5. Snakebite incidence in two townships in Mandalay Division, Myanmar.

Author: Mohammad Afzal Mahmood, Dale Halliday, Robert Cumming, Khin-Thida Thwin, Mya Myint Zu Kyaw, Julian White, Sam Alfred, David Warrell, David Bacon, Win Naing, Myat Myat Thein, Nyein Nyein Chit, Sarah Serhal, and Chen Au Peh
Subjects: Arctic medicine. Tropical medicine, RC955-962, Public aspects of medicine, RA1-1270
Abstract: The global incidence of snakebite is estimated at more than 2.5 million cases annually, with greater than 100,000 deaths. Historically, Myanmar has one of the highest incidences of venomous snakebites. In order to improve the health outcomes of snakebite patients in Myanmar, access to accurate snakebite incidence data is crucial. The last population-based study in Myanmar was conducted more than a decade ago. In 2014, the Ministry of Health and Sports data from health facilities indicated an incidence of about 29.5 bites/ 100,000 population/year (a total of 15,079 bites). Since data from health facilities lack information about those who do not seek health care from government health services, a new population-based survey was conducted in 2 rural areas of Mandalay region. The survey data were compared to those obtained from healthcare services.4,276 rural respondents in Kyaukse and Madaya townships in Mandalay Division were recruited using cluster sampling that involved random selection of 150 villages and random sampling of 30 households from each village. One adult member of each household was interviewed using a structured questionnaire.One respondent from each of 4,276 households represented 19,877 residents from 144 villages. 24 people in these households had suffered snakebite during the last one year giving an annual incidence of 116/100,000. During the last ten years, 252 people suffered snakebites. 44.1% of the victims were women. 14% of the villages reported 4 or more bites during the last ten years, whereas 27% villages reported no snakebites. 92.4% of the victims recovered fully, 5.4% died, and 2% suffered long term health issues. One victim was reported to have died from causes unrelated to the snakebite. While there was no statistically significant difference between outcomes for children and adults, 4 of 38 of those under 18 years of age died compared to 7 of 133 adults between 19 to 40 years of age.This incidence reported by the community members points to substantially more snakebites than the number of snakebite patients attending health facilities. This higher incidence points to the need for a nation-wide population-based survey, community education about gaining access to care where antivenom is available, and to the potential need for a larger supply of antivenom and expansion of medical care in rural areas.
Published: 2018
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6. Why snakebite patients in Myanmar seek traditional healers despite availability of biomedical care at hospitals? Community perspectives on reasons.

Author: Eliza Schioldann, Mohammad Afzal Mahmood, Mya Myitzu Kyaw, Dale Halliday, Khin Thida Thwin, Nyein Nyein Chit, Robert Cumming, David Bacon, Sam Alfred, Julian White, David Warrell, and Chen Au Peh
Subjects: Arctic medicine. Tropical medicine, RC955-962, Public aspects of medicine, RA1-1270
Abstract: Snakebite is a major public health problem in many developing countries. Farmers are particularly exposed to snakes, and due to their rural location often experience delays in accessing formal healthcare. The reasons to use traditional healers may include difficulties in accessing formal healthcare, certain beliefs about snakes and snake venom, tradition, and trust in the capacity of traditional healers. Traditional healing, however, may have serious consequences in terms of delays or added complications. There is little in-depth current information about the reasons for its continued use for snakebite. As part of a health services development project to improve health outcomes for snakebite patients, community attitudes to the use of traditional healers were explored in the Mandalay region of Myanmar.With the objective of learning from local communities, information was generated in three communities using participatory appraisal methods with the communities, and focus group discussions with the local healthcare staff. Many snakebite victims in these communities use traditional healing. Reasons include transport difficulties, low cost for traditional healing, inadequacy of anti-snake venom in the formal healthcare sector, and traditional beliefs, as traditional healing practices are rooted in many cultural and traditional factors. The communities reported that even if access to medical care were improved, traditional healing would continue to be used.These findings point to the need for working with traditional healers for prevention, appropriate first aid and timely access to effective treatment for snakebite.
Published: 2018
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7. Machine Learning Approach for National Innovation Performance Data Analysis.

Author: Dominik Forner, Sercan Ozcan, and David Bacon
Published: 2019
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8. Successful Extracorporeal Membrane Oxygenation (ECMO) Use without Systemic Anticoagulation for Acute Respiratory Distress Syndrome in a Patient with Aneurysmal Subarachnoid Hemorrhage

Author: Amanda L. Faulkner, James David Bacon, Brian A. Fischer, Stephen L. Grupke, and Kevin W. Hatton
Subjects: Neurology. Diseases of the nervous system, RC346-429
Abstract: Extracorporeal membrane oxygenation (ECMO) is an important life-saving technology for patients with severe acute respiratory distress syndrome (ARDS). Unfortunately, ECMO has been traditionally contraindicated in patients with hemorrhagic neurologic diseases. The recent improvement in ECMO devices, increased utilization and experience with venovenous ECMO technologies among healthcare teams, and the use of ECMO without anticoagulation has expanded the potential populations that may benefit from ECMO. We present a case of successful utilization of venovenous ECMO for severe respiratory failure secondary to ARDS in a patient with aneurysmal subarachnoid hemorrhage and severe, episodic cerebral vasospasm. We also discuss important limitations and considerations for future successful use of ECMO in hemorrhagic stroke. This case report highlights the potential for this life-saving technology in patients with hemorrhagic stroke.
Published: 2019
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9. Dairy cattle lameness: a roundtable discussion

Author: Nick Bell, David Bacon, Emily Craven, Steve Crowe, Reuben Newsome, Georgios Oikonomou, Sara Pedersen, Jon Reader, and James Wilson
Abstract: Foreword Lameness in dairy cattle is a high prevalence condition with significant negative impact on the welfare and economics of the dairy herd. Most lameness is attributable to four main conditions: sole bruising (also referred to as sole haemorrhage), sole ulcer, white line disease and digital dermatitis. Understanding of the pathogenesis of major claw horn diseases has undergone a transformation in the last 20 years, with a shift from a primary nutritional aetiology to a biomechanical one. This has led to significant research into factors relating to claw biomechanics and interventions targeting the inflammatory process. Even for infectious conditions, the benefit of non-steroidal anti-inflammatory drugs to cow welfare and recovery cannot be underrated. In this roundtable discussion, the panel explore the clinical relevance of the findings of research exploring biomechanics and managing inflammation.
Published: 2022

10. Optical Variability of Quasars with 20-Year Photometric Light Curves

Author: Zachary Stone, Yue Shen, Colin J. Burke, Yu-Ching Chen, Qian Yang, Xin Liu, Robert Gruendl, Monika Adamów, Felipe Andrade-Oliveira, James Annis, David Bacon, Emmanuel Bertin, Sebastian Bocquet, David Brooks, David Burke, Aurelio Carnero Rosell, Matias Carrasco-Kind, Jorge Carretero, Luiz da Costa, Maria Elidaiana da Silva Pereira, Juan De Vicente, Shantanu Desai, H. Thomas Diehl, Peter Doel, Ismael Ferrero, Douglas Friedel, Joshua Frieman, Juan García-Bellido, Enrique Gaztanaga, Daniel Gruen, Gaston Gutierrez, Samuel Hinton, Devon L. Hollowood, Klaus Honscheid, David James, Kyler Kuehn, Nikolay Kuropatkin, Chrostopher Lidman, Marcio Maia, Felipe Menanteau, Ramon Miquel, Robert Morgan, Francisco Paz-Chinchón, Adriano Pieres, Andrés Plazas-Malagón, Martin Rodriguez-Monroy, Eusebio Sanchez, Vic Scarpine, Santiago Serrano, Ignacio Sevilla-Noarbe, Mathew Smith, Eric Suchyta, Molly Swanson, Gregory Tarlé, Chun-Hao To, National Science Foundation (US), European Commission, Agenzia Spaziale Italiana, Alfred P. Sloan Foundation, Department of Energy (US), National Aeronautics and Space Administration (US), Max Planck Society, Higher Education Funding Council for England, Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), European Research Council, Instituto Nacional de Ciência e Tecnologia (Brasil), Generalitat de Catalunya, Conselho Nacional das Fundaçôes Estaduais de Amparo à Pesquisa (Brasil), and UAM. Departamento de Física Teórica
Subjects: Astrophysics::High Energy Astrophysical Phenomena, quasars, supermassive black holes, Física, FOS: Physical sciences, Quasars: supermassive black holes, Astronomy and Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, Surveys, Astrophysics - Astrophysics of Galaxies, Quasars: general, Space and Planetary Science, Astrophysics of Galaxies (astro-ph.GA), Astrophysics::Galaxy Astrophysics
Abstract: Z. Stone et al., We study the optical gri photometric variability of a sample of 190 quasars within the SDSS Stripe 82 region that have long-term photometric coverage during ∼1998−2020 with SDSS, PanSTARRS-1, the Dark Energy Survey, and dedicated follow-up monitoring with Blanco 4m/DECam. With on average ∼200 nightly epochs per quasar per filter band, we improve the parameter constraints from a Damped Random Walk (DRW) model fit to the light curves over previous studies with 10–15 yr baselines and ≲ 100 epochs. We find that the average damping time-scale τDRW continues to rise with increased baseline, reaching a median value of ∼750 d (g band) in the rest frame of these quasars using the 20-yr light curves. Some quasars may have gradual, long-term trends in their light curves, suggesting that either the DRW fit requires very long baselines to converge, or that the underlying variability is more complex than a single DRW process for these quasars. Using a subset of quasars with better-constrained τDRW (less than 20 per cent of the baseline), we confirm a weak wavelength dependence of τDRW∝λ0.51 ± 0.20. We further quantify optical variability of these quasars over days to decades time-scales using structure function (SF) and power spectrum density (PSD) analyses. The SF and PSD measurements qualitatively confirm the measured (hundreds of days) damping time-scales from the DRW fits. However, the ensemble PSD is steeper than that of a DRW on time-scales less than ∼ a month for these luminous quasars, and this second break point correlates with the longer DRW damping time-scale., ZS and YS acknowledge support from NSF grants AST-1715579 and AST-2009947, and NASA grant 80NSSC21K0775. Funding for the SDSS and SDSS-II has been provided by the Alfred P. Sloan Foundation, the Participating Institutions, the National Science Foundation, the U.S. Department of Energy, the National Aeronautics and Space Administration, the Japanese Monbukagakusho, the Max Planck Society, and the Higher Education Funding Council for England. The DES participants from Spanish institutions are partially supported by MICINN under grants ESP2017-89838, PGC2018-094773, PGC2018-102021, SEV-2016-0588, SEV-2016-0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA programme of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Program (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciência e Tecnologia (INCT) do e-Universo (CNPq grant 465376/2014-2).
Published: 2023
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11. Diagnosis of Brain Death and Management of the Brain Dead Patient

Author: J. David Bacon and Kevin W. Hatton
Abstract: Brain death, the irreversible cessation of all brain function, is a difficult diagnosis in patients with severe neurologic injury. The diagnosis is based, primarily, on physical examination findings and central reflex testing, after confounding factors have been excluded. When confounding factors cannot be eliminated or when clinical exam findings are equivocal, additional or ancillary testing may be necessary to confirm the diagnosis. Once the diagnosis of brain death has been made, a discussion of the potential for organ donation should occur with the family, and, if consent is given, the critical care management goals change to focus on optimization of transplantable organ function. Common problems in the brain dead patient include hemodynamic instability, endocrine gland dysfunction, coagulopathy, and nosocomial infections. Aggressive treatment of these problems has been associated with improved recovery and function of transplanted organs.
Published: 2022

12. The Maquiladora Workers of Juárez Find Their Voice

Author: David Bacon
Published: 2022

13. Dark energy survey year 3 results: weak lensing shape catalogue

Author: Peter Doel, Alexandra Amon, Joe Zuntz, Jack Elvin-Poole, M. Smith, Daniel Gruen, V. Scarpine, J. Carretero, Tamara M. Davis, H. T. Diehl, David Bacon, Niall MacCrann, I. Tutusaus, Tesla E. Jeltema, A. Navarro-Alsina, J. De Vicente, D. W. Gerdes, J. Gschwend, Daniel Thomas, Gary Bernstein, Marcos Lima, E. M. Huff, M. Gatti, W. C. Wester, Josh Frieman, R. Chen, Michel Aguena, Samuel Hinton, G. Gutierrez, David J. Brooks, R. P. Rollins, Matthew R. Becker, J. Prat, Ami Choi, Ben Hoyle, S. Samuroff, F. Paz-Chinchón, Santiago Avila, Chihway Chang, Antonella Palmese, M. A. G. Maia, E. Bertin, M. E. C. Swanson, S. Serrano, S. Pandey, S. Desai, Michael Schubnell, J. McCullough, M. Costanzi, D. L. Burke, J. P. Dietrich, Juan Garcia-Bellido, E. Suchyta, W. G. Hartley, Carlos Solans Sanchez, Christopher J. Conselice, S. Allam, Robert A. Gruendl, Ramon Miquel, Eli S. Rykoff, Jochen Weller, F. J. Castander, Richard G. Kron, T. Shin, D. L. Hollowood, T. M. C. Abbott, Elisabeth Krause, C. Doux, Chun-Hao To, E. J. Sanchez, A. A. Plazas, I. Ferrero, Matt J. Jarvis, K. Honscheid, S. Everett, L. F. Secco, M. Carrasco Kind, Martin Crocce, R. D. Wilkinson, Sunayana Bhargava, Risa H. Wechsler, J. Myles, David J. James, Jennifer L. Marshall, Agnès Ferté, Michael Troxel, I. Sevilla-Noarbe, M. Soares-Santos, N. Kuropatkin, Alex Drlica-Wagner, K. D. Eckert, T. N. Varga, Dragan Huterer, L. N. da Costa, Bhuvnesh Jain, J. Annis, Douglas L. Tucker, Erin Sheldon, Robert Morgan, G. Tarle, Ian Harrison, A. Roodman, Tommaso Giannantonio, A. Carnero Rosell, Gatti, M., Sheldon, E., Amon, A., Becker, M., Troxel, M., Choi, A., Doux, C., Maccrann, N., Navarro Alsina, A., Harrison, I., Gruen, D., Bernstein, G., Jarvis, M., Secco, L. F., Ferté, A., Shin, T., Mccullough, J., Rollins, R. P., Chen, R., Chang, C., Pandey, S., Tutusaus, I., Prat, J., Elvin-Poole, J., Sanchez, C., Plazas, A. A., Roodman, A., Zuntz, J., Abbott, T. M. C., Aguena, M., Allam, S., Annis, J., Avila, S., Bacon, D., Bertin, E., Bhargava, S., Brooks, D., Burke, D. L., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Castander, F. J., Conselice, C., Costanzi, M., da Costa, L. N., Davis, T. M., De Vicente, J., Desai, S., Diehl, H. T., Dietrich, J. P., Doel, P., Drlica-Wagner, A., Eckert, K., Everett, S., Ferrero, I., Frieman, J., García-Bellido, J., Gerdes, D. W., Giannantonio, T., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hartley, W. G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Hoyle, B., Huff, E. M., Huterer, D., Jain, B., James, D. J., Jeltema, T., Krause, E., Kron, R., Kuropatkin, N., Lima, M., Maia, M. A. G., Marshall, J. L., Miquel, R., Morgan, R., Myles, J., Palmese, A., Paz-Chinchón, F., Rykoff, E. S., Samuroff, S., Sanchez, E., Scarpine, V., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Tucker, D. L., Varga, T. N., Wechsler, R. H., Weller, J., Wester, W., Wilkinson, R. D., National Science Foundation (US), Ministerio de Economía y Competitividad (España), European Commission, Instituto Nacional de Ciência e Tecnologia (Brasil), UAM. Departamento de Física Teórica, Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), and DES
Subjects: Effective Area, Point spread function, Cosmology and Nongalactic Astrophysics (astro-ph.CO), media_common.quotation_subject, Techniques: image processing, FOS: Physical sciences, Astrophysics, Surveys, 01 natural sciences, surveys, weak [gravitational lensing], Gravitational lensing: weak, Methods: data analysis, 0103 physical sciences, data analysis [methods], survey, Spurious relationship, weak [ravitational lensing], 010303 astronomy & astrophysics, catalogues, Weak gravitational lensing, media_common, Physics, Energy Surveys, Number density, image processing [techniques], 010308 nuclear & particles physics, Cosmology: observations, Física, Astronomy and Astrophysics, Catalogues, Dark Energy, observations [cosmology], Galaxy, Weak Lensing, Space and Planetary Science, Sky, data analysi [methods], Dark energy, ravitational lensing: weak, Catalog, methods: data analysis, techniques: image processing, cosmology: observations, Astrophysics - Cosmology and Nongalactic Astrophysics, Cosmology Observations, catalogue, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], observation [cosmology]
Abstract: Gatti, M., et al. (DES Collaboration), We present and characterize the galaxy shape catalogue from the first 3 yr of Dark Energy Survey (DES) observations, over an effective area of 4143 deg2 of the southern sky. We describe our data analysis process and our self-calibrating shear measurement pipeline metacalibration, which builds and improves upon the pipeline used in the DES Year 1 analysis in several aspects. The DES Year 3 weak-lensing shape catalogue consists of 100 204 026 galaxies, measured in the riz bands, resulting in a weighted source number density of neff = 5.59 gal arcmin-2 and corresponding shape noise σe = 0.261. We perform a battery of internal null tests on the catalogue, including tests on systematics related to the point spread function (PSF) modelling, spurious catalogue B-mode signals, catalogue contamination, and galaxy properties., Based in part on observations at Cerro Tololo Inter-American Observatory at NSF’s NOIRLab (NOIRLab Prop. ID 2012B-0001; PI: J. Frieman), which is managed by the Association of Universities for Research in Astronomy (AURA) under a cooperative agreement with the National Science Foundation. The DES data management system is supported by the National Science Foundation under grants AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MINECO under grants AYA2015-71825, ESP2015-66861, FPA2015-68048, SEV-2016-0588, SEV-2016-0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA programme of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Program (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciência e Tecnologia (INCT) e-Universe (CNPq grant 465376/2014-2).
Published: 2021

14. The effect of quasar redshift errors on Lyman-$\alpha$ forest correlation functions

Author: Samantha Youles, Julian E Bautista, Andreu Font-Ribera, David Bacon, James Rich, David Brooks, Tamara M Davis, Kyle Dawson, Axel de la Macorra, Govinda Dhungana, Peter Doel, Kevin Fanning, Enrique Gaztañaga, Satya Gontcho A Gontcho, Alma X Gonzalez-Morales, Julien Guy, Klaus Honscheid, Vid Iršič, Robert Kehoe, David Kirkby, Theodore Kisner, Martin Landriau, Laurent Le Guillou, Michael E Levi, Paul Martini, Andrea Muñoz-Gutiérrez, Nathalie Palanque-Delabrouille, Ignasi Pérez-Ràfols, Claire Poppett, César Ramírez-Pérez, Michael Schubnell, Gregory Tarlé, Michael Walther, Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Laboratoire de Physique Nucléaire et de Hautes Énergies (LPNHE (UMR_7585)), and Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO), Space and Planetary Science, cosmology: theory, Astrophysics::High Energy Astrophysical Phenomena, Astrophysics::Instrumentation and Methods for Astrophysics, FOS: Physical sciences, Astronomy and Astrophysics, large-scale structure of Universe, Astrophysics::Cosmology and Extragalactic Astrophysics, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Astrophysics::Galaxy Astrophysics, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Using synthetic Lyman-$\alpha$ forests from the Dark Energy Spectroscopic Instrument (DESI) survey, we present a study of the impact of errors in the estimation of quasar redshift on the Lyman-$\alpha$ correlation functions. Estimates of quasar redshift have large uncertainties of a few hundred $\text{km s}^{-1}\,$ due to the broadness of the emission lines and the intrinsic shifts from other emission lines. We inject Gaussian random redshift errors into the mock quasar catalogues, and measure the auto-correlation and the Lyman-$\alpha$-quasar cross-correlation functions. We find a smearing of the BAO feature in the radial direction, but changes in the peak position are negligible. However, we see a significant unphysical correlation for small separations transverse to the line of sight which increases with the amplitude of the redshift errors. We interpret this contamination as a result of the broadening of emission lines in the measured mean continuum, caused by quasar redshift errors, combined with the unrealistically strong clustering of the simulated quasars on small scales., Comment: 13 pages, 8 figures, submitted to MNRAS
Published: 2022

15. Social justice writing and photography

Author: David Bacon and John W. McKerley
Published: 2022

16. Impact of relativistic effects on the primordial non-Gaussianity signature in the large-scale clustering of quasars

Author: Florian Beutler, David Bacon, and Mike Wang
Subjects: ST/S000550/1, Cosmology and Nongalactic Astrophysics (astro-ph.CO), Astrophysics::High Energy Astrophysical Phenomena, Population, FOS: Physical sciences, Astrophysics::Cosmology and Extragalactic Astrophysics, Astrophysics, Luminosity, cosmological parameters, education, STFC, Astrophysics::Galaxy Astrophysics, Luminosity function (astronomy), Physics, education.field_of_study, RCUK, Spectral density, Astronomy and Astrophysics, Quasar, observations [cosmology], Redshift, Space and Planetary Science, Dark energy, large-scale structure of Universe, Relativistic quantum chemistry, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Relativistic effects in clustering observations have been shown to introduce scale-dependent corrections to the galaxy over-density field on large scales, which may hamper the detection of primordial non-Gaussianity $f_\textrm{NL}$ through the scale-dependent halo bias. The amplitude of relativistic corrections depends not only on the cosmological background expansion, but also on the redshift evolution and sensitivity to the luminosity threshold of the tracer population being examined, as parametrised by the evolution bias $b_\textrm{e}$ and magnification bias $s$. In this work, we propagate luminosity function measurements from the extended Baryon Oscillation Spectroscopic Survey (eBOSS) to $b_\textrm{e}$ and $s$ for the quasar (QSO) sample, and thereby derive constraints on relativistic corrections to its power spectrum multipoles. Although one could mitigate the impact on the $f_\textrm{NL}$ signature by adjusting the redshift range or the luminosity threshold of the tracer sample being considered, we suggest that, for future surveys probing large cosmic volumes, relativistic corrections should be forward modelled from the tracer luminosity function including its uncertainties. This will be important to quasar clustering measurements on scales $k \sim 10^{-3} h \, \textrm{Mpc}^{-1}$ in upcoming surveys such as the Dark Energy Spectroscopic Instrument (DESI), where relativistic corrections can overwhelm the expected $f_\textrm{NL}$ signature at low redshifts $z \lesssim 1$ and become comparable to $f_\textrm{NL} \simeq 1$ in the power spectrum quadrupole at redshifts $z \gtrsim 2.5$., Comment: Published by MNRAS, 7 figures and 1 table; changes made after peer review; public code HorizonGRound available at http://github.com/MikeSWang/HorizonGRound
Published: 2020

17. Courage in the Time of Covid-19: Amazon Warehouse, May Day 2020

Author: David Bacon
Subjects: 2019-20 coronavirus outbreak, Coronavirus disease 2019 (COVID-19), Amazon rainforest, media_common.quotation_subject, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Economics, Econometrics and Finance (miscellaneous), medicine.disease, Warehouse, Urban Studies, Geography, Industrial relations, medicine, Medical emergency, Social Sciences (miscellaneous), Courage, media_common
Published: 2020

18. In a Covid-19 World, Can Hotel Workers Keep Their Gains?

Author: David Bacon
Subjects: Urban Studies, Collective bargaining, Market economy, Coronavirus disease 2019 (COVID-19), Economics, Econometrics and Finance (miscellaneous), Industrial relations, Business, Capitalism, Social Sciences (miscellaneous)
Published: 2020

19. Dark Energy Survey Year 3 results: cosmology with moments of weak lensing mass maps – validation on simulations

Author: M. Smith, Daniel Gruen, D. W. Gerdes, F. Paz-Chinchón, D. J. James, J. Carretero, G. Tarle, Ian Harrison, J. Gschwend, Shantanu Desai, Marcos Lima, Kyler Kuehn, M. Carrasco Kind, Ramon Miquel, E. Suchyta, Juan Garcia-Bellido, August E. Evrard, Felipe Menanteau, Daniel Thomas, E. Buckley-Geer, Jennifer L. Marshall, L. Whiteway, Peter Doel, Juan Estrada, M. March, J. DeRose, L. F. Secco, Josh Frieman, V. Scarpine, Oliver Friedrich, Michael Schubnell, H. T. Diehl, Enrique Gaztanaga, Michael Troxel, T. M. C. Abbott, David Bacon, Martin Crocce, Pablo Fosalba, A. Carnero Rosell, Marcelle Soares-Santos, Niall MacCrann, S. Everett, Peter Melchior, David J. Brooks, R. Cawthon, Elisabeth Krause, E. J. Sanchez, Antonella Palmese, M. A. G. Maia, M. E. C. Swanson, A. A. Plazas, D. L. Burke, S. Santiago, J. Annis, I. Sevilla-Noarbe, T. McClintock, S. Allam, Robert A. Gruendl, J. De Vicente, L. N. da Costa, Santiago Avila, Carlos Solans Sanchez, Chihway Chang, Bhuvnesh Jain, M. D. Johnson, Joe Zuntz, Niall Jeffrey, I. Ferrero, Tim Eifler, G. Gutierrez, M. Gatti, Henry Luce Foundation, Department of Energy (US), National Science Foundation (US), Ministerio de Ciencia, Innovación y Universidades (España), Science and Technology Facilities Council (UK), University of Illinois, Kavli Institute for Theoretical Physics, University of Chicago, The Ohio State University, Texas A&M University, Financiadora de Estudos e Projetos (Brasil), Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro, Conselho Nacional de Desenvolvimento Científico e Tecnológico (Brasil), Ministério da Ciência, Tecnologia e Inovação (Brasil), German Research Foundation, European Commission, Generalitat de Catalunya, and Fermilab
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO), Large-scale structure of Universe, Higher education, FOS: Physical sciences, Library science, Astrophysics::Cosmology and Extragalactic Astrophysics, 7. Clean energy, 01 natural sciences, Gravitational lensing: weak, Observatory, 0103 physical sciences, media_common.cataloged_instance, MECÂNICA ESTATÍSTICA, European union, Astronomy observatory, 010303 astronomy & astrophysics, media_common, Physics, 010308 nuclear & particles physics, business.industry, European research, Cosmology: observations, Astronomy and Astrophysics, 13. Climate action, Space and Planetary Science, Fundamental physics, Christian ministry, business, National laboratory, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present a simulated cosmology analysis using the second and third moments of the weak lensing mass (convergence) maps. The second moment, or variances, of the convergence as a function of smoothing scale contains information similar to standard shear two-point statistics. The third moment, or the skewness, contains additional non-Gaussian information. The analysis is geared towards the third year (Y3) data from the Dark Energy Survey (DES), but the methodology can be applied to other weak lensing data sets. We present the formalism for obtaining the convergence maps from the measured shear and for obtaining the second and third moments of these maps given partial sky coverage. We estimate the covariance matrix from a large suite of numerical simulations. We test our pipeline through a simulated likelihood analyses varying 5 cosmological parameters and 10 nuisance parameters and identify the scales where systematic or modelling uncertainties are not expected to affect the cosmological analysis. Our simulated likelihood analysis shows that the combination of second and third moments provides a 1.5 per cent constraint on S8 σ8(ωm/0.3)0.5 for DES Year 3 data. This is 20 per cent better than an analysis using a simulated DES Y3 shear two-point statistics, owing to the non-Gaussian information captured by the inclusion of higher order statistics. This paper validates our methodology for constraining cosmology with DES Year 3 data, which will be presented in a subsequent paper., Funding for the DES Projects has been provided by the U.S. Department of Energy, the U.S. National Science Foundation, the Ministry of Science and Education of Spain, the Science and Technology Facilities Council of the United Kingdom, the Higher Education Funding Council for England, the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign, the Kavli Institute of Cosmological Physics at the University of Chicago, the Center for Cosmology and Astro-Particle Physics at the Ohio State University, the Mitchell Institute for Fundamental Physics and Astronomy at Texas A&M University, Financiadora de Estudos e Projetos, Fundac¸ao Carlos Chagas Filho de Amparo ˜ a Pesquisa do ` Estado do Rio de Janeiro, Conselho Nacional de Desenvolvimento Cient´ıfico e Tecnologico and the Minist ´ erio da Ci ´ encia, Tecnologia ˆ e Inovac¸ao, the Deutsche Forschungsgemeinschaft and the Collabo- ˜ rating Institutions in the Dark Energy Survey. The Collaborating Institutions are Argonne National Laboratory, the University of California, Santa Cruz, the University of Cambridge, Centro de Investigaciones Energeticas, Medioambientales y ´ Tecnologicas-Madrid, the University of Chicago, University College ´ London, the DES-Brazil Consortium, the University of Edinburgh, the Eidgenossische Technische Hochschule (ETH) Z ¨ urich, Fermi ¨ National Accelerator Laboratory, the University of Illinois at UrbanaChampaign, the Institut de Ciencies de l’Espai (IEEC/CSIC), the ` Institut de F´ısica d’Altes Energies, Lawrence Berkeley National Laboratory, the Ludwig-Maximilians Universitat M¨ unchen, and the ¨ associated Excellence Cluster Universe, the University of Michigan, the National Optical Astronomy Observatory, the University of Nottingham, the Ohio State University, the University of Pennsylvania, the University of Portsmouth, SLAC National Accelerator Laboratory, Stanford University, the University of Sussex, Texas A&M University, and the OzDES Membership Consortium. Based in part on observations at Cerro Tololo Inter-American Observatory, National Optical Astronomy Observatory, which is operated by the Association of Universities for Research in Astronomy (AURA) under a cooperative agreement with the National Science Foundation. The DES data management system is supported by the National Science Foundation under Grant Numbers AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MINECO under grants AYA2015- 71825, ESP2015-66861, FPA2015-68048, SEV-2016-0588, SEV2016-0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union 7th Framework Program (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciencia e Tecnologia (INCT) e-Universe (CNPq grant ˆ 465376/2014-2). This manuscript has been authored by Fermi Research Alliance, LLC under Contract No. DE-AC02-07CH11359 with the U.S. Department of Energy, Office of Science, Office of High Energy Physics.
Published: 2020

20. Multipole expansion for H i intensity mapping experiments: simulations and modelling

Author: Chris Blake, David Bacon, Alkistis Pourtsidou, Paula S. Soares, and Steven Cunnington
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO), FOS: Physical sciences, 01 natural sciences, symbols.namesake, MR/S016066/1, 0103 physical sciences, ST/S000437/1, Cluster analysis, 010303 astronomy & astrophysics, STFC, computer.programming_language, Physics, 010308 nuclear & particles physics, Intensity mapping, RCUK, Spectral density, Astronomy and Astrophysics, Markov chain Monte Carlo, Python (programming language), Computational physics, MRC, Space and Planetary Science, ST/P006760/1, Frequency domain, Quadrupole, symbols, ST/N000668/1, Multipole expansion, computer, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present a framework and an open-source python toolkit to analyse the 2-point statistics of 3D fluctuations in the context of HI intensity maps using the multipole expansion formalism. We include simulations of the cosmological HI signal using N-body and log-normal methods, foregrounds and their removal, as well as instrumental effects. Using these simulations and analytical modelling, we investigate the impact of foreground cleaning and the instrumental beam on the power spectrum multipoles as well as on the Fourier space clustering wedges. We find that both the instrumental beam and the foreground removal can produce a quadrupole (and a hexadecapole) signal, and demonstrate the importance of controlling and accurately modelling these effects for precision radio cosmology. We conclude that these effects can be modelled with reasonable accuracy using our multipole expansion technique. We also perform an MCMC analysis to showcase the effect of foreground cleaning on the estimation of the HI abundance and bias parameters. The accompanying python toolkit is available at https://github.com/IntensityTools/MultipoleExpansion, and includes an interactive suite of examples to aid new users., 21 pages, 14 figures
Published: 2020

21. Vigan's Public Market: The Commons in the Hands of Farmers and the Poor

Author: David Bacon
Subjects: General Medicine, Business, Public administration, Commons, Public market
Published: 2020

22. Dark Energy Survey Y3 results: blending shear and redshift biases in image simulations

Author: Matthew R. Becker, J. Carretero, F. Paz-Chinchón, F. Tarsitano, Brian Yanny, Josh Frieman, David J. Brooks, M. March, Erin Sheldon, Martin Crocce, R. D. Wilkinson, Antonella Palmese, Carlos Solans Sanchez, M. Smith, M Rodriguez-Monroy, Peter Doel, R. L. C. Ogando, M. A. G. Maia, W. G. Hartley, Adriano Pieres, Daniel Gruen, J. Myles, D. L. Burke, V. Scarpine, B. Flaugher, H. T. Diehl, J. P. Dietrich, Juan Garcia-Bellido, D. W. Gerdes, David J. James, David Bacon, Alexandra Amon, G. Tarle, I. Harrison, Pablo Fosalba, Niall MacCrann, Agnès Ferté, J. Annis, E. Suchyta, I. Sevilla-Noarbe, S. Allam, Robert A. Gruendl, M. Soares-Santos, Peter Melchior, Maria E. S. Pereira, J. McCullough, K. D. Eckert, Daniel Thomas, K. Herner, T. N. Varga, Felipe Menanteau, M. Costanzi, E. Bertin, M. Gatti, M. Carrasco Kind, T. M. C. Abbott, Ramon Miquel, Michael Troxel, Paul Martini, Jennifer L. Marshall, J. Muir, Enrique Gaztanaga, J. Gschwend, A. Choi, D. L. Hollowood, A. Alarcon, Gary Bernstein, M. E. C. Swanson, Ofer Lahav, E. M. Huff, Chun-Hao To, K. Honscheid, A. Roodman, Tommaso Giannantonio, Samuel Hinton, E. J. Sanchez, Michel Aguena, S. Serrano, Robert Morgan, G. Gutierrez, Joe Zuntz, R. P. Rollins, A. Carnero Rosell, I. Ferrero, Matt J. Jarvis, Marcos Lima, Sarah Bridle, Scott Dodelson, Tim Eifler, S. Desai, Joseph J. Mohr, S. Everett, S. Samuroff, A. A. Plazas, L. F. Secco, J. de Vicente, Maccrann, N, Becker, M R, Mccullough, J, Amon, A, Gruen, D, Jarvis, M, Choi, A, Troxel, M A, Sheldon, E, Yanny, B, Herner, K, Dodelson, S, Zuntz, J, Eckert, K, Rollins, R P, Varga, T N, Bernstein, G M, Gruendl, R A, Harrison, I, Hartley, W G, Sevilla-Noarbe, I, Pieres, A, Bridle, S L, Myles, J, Alarcon, A, Everett, S, Sánchez, C, Huff, E M, Tarsitano, F, Gatti, M, Secco, L F, Abbott, T M C, Aguena, M, Allam, S, Annis, J, Bacon, D, Bertin, E, Brooks, D, Burke, D L, Carnero&nbsp, Rosell, A, Carrasco&nbsp, Kind, M, Carretero, J, Costanzi, M, Crocce, M, Pereira, M E S, De&nbsp, Vicente, J, Desai, S, Diehl, H&nbsp, T, Dietrich, J P, Doel, P, Eifler, T F, Ferrero, I, Ferté, A, Flaugher, B, Fosalba, P, Frieman, J, García-Bellido, J, Gaztanaga, E, Gerdes, D W, Giannantonio, T, Gschwend, J, Gutierrez, G, Hinton, S R, Hollowood, D L, Honscheid, K, James, D J, Lahav, O, Lima, M, Maia, M A G, March, M, Marshall, J L, Martini, P, Melchior, P, Menanteau, F, Miquel, R, Mohr, J J, Morgan, R, Muir, J, Ogando, R L C, Palmese, A, Paz-Chinchón, F, Plazas, A A, Rodriguez-Monroy, M, Roodman, A, Samuroff, S, Sanchez, E, Scarpine, V, Serrano, S, Smith, M, Soares-Santos, M, Suchyta, E, Swanson, M E C, Tarle, G, Thomas, D, To, C, Wilkinson, R D, Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), European Commission, Generalitat de Catalunya, Ministerio de Economía y Competitividad (España), European Research Council, Department of Energy (US), National Aeronautics and Space Administration (US), and Fondo Nacional de Desarrollo Científico y Tecnológico (Chile)
Subjects: Physics, Large-scale structure of Universe, 010308 nuclear & particles physics, Astronomy and Astrophysics, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, 01 natural sciences, Redshift, Image (mathematics), gravitational lensing: weak, large-scale structure of Universe, Astrophysics - Cosmology and Nongalactic Astrophysics, Shear (sheet metal), Space and Planetary Science, Gravitational lensing: weak, weak [gravitational lensing], 0103 physical sciences, Dark energy, 010303 astronomy & astrophysics
Abstract: DES Collaboration: N. MacCrann et al., As the statistical power of galaxy weak lensing reaches per cent level precision, large, realistic, and robust simulations are required to calibrate observational systematics, especially given the increased importance of object blending as survey depths increase. To capture the coupled effects of blending in both shear and photometric redshift calibration, we define the effective redshift distribution for lensing, nγ(z), and describe how to estimate it using image simulations. We use an extensive suite of tailored image simulations to characterize the performance of the shear estimation pipeline applied to the Dark Energy Survey (DES) Year 3 data set. We describe the multiband, multi-epoch simulations, and demonstrate their high level of realism through comparisons to the real DES data. We isolate the effects that generate shear calibration biases by running variations on our fiducial simulation, and find that blending-related effects are the dominant contribution to the mean multiplicative bias of approximately −2 per cent ⁠. By generating simulations with input shear signals that vary with redshift, we calibrate biases in our estimation of the effective redshift distribution, and demonstrate the importance of this approach when blending is present. We provide corrected effective redshift distributions that incorporate statistical and systematic uncertainties, ready for use in DES Year 3 weak lensing analyses., Funding for the DES Projects has been provided by the U.S. Department of Energy, the U.S. National Science Foundation, the Ministry of Science and Education of Spain, the Science and Technology Facilities Council of the United Kingdom, the Higher Education Funding Council for England, the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign, the Kavli Institute of Cosmological Physics at the University of Chicago, the Center for Cosmology and Astro-Particle Physics at the Ohio State University, the Mitchell Institute for Fundamental Physics and Astronomy at Texas A&M University, Financiadora de Estudos e Projetos, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro, Conselho Nacional de Desenvolvimento Científico e Tecnológico and the Ministério da Ciência, Tecnologia e Inovação, the Deutsche Forschungsgemeinschaft and the Collaborating Institutions in the Dark Energy Survey. The Collaborating Institutions are Argonne National Laboratory, the University of California at Santa Cruz, the University of Cambridge, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas-Madrid, the University of Chicago, University College London, the DES-Brazil Consortium, the University of Edinburgh, the Eidgenössische Technische Hochschule (ETH) Zürich, Fermi National Accelerator Laboratory, the University of Illinois at Urbana-Champaign, the Institut de Ciències de l’Espai (IEEC/CSIC), the Institut de Física d’Altes Energies, Lawrence Berkeley National Laboratory, the Ludwig-Maximilians Universität München and the associated Excellence Cluster Universe, the University of Michigan, NFS’s NOIRLab, the University of Nottingham, The Ohio State University, the University of Pennsylvania, the University of Portsmouth, SLAC National Accelerator Laboratory, Stanford University, the University of Sussex, Texas A&M University, and the OzDES Membership Consortium. Based in part on observations at Cerro Tololo Inter-American Observatory at NSF’s NOIRLab (NOIRLab Prop. ID 2012B-0001; PI: J. Frieman), which is managed by the Association of Universities for Research in Astronomy (AURA) under a cooperative agreement with the National Science Foundation. The DES data management system is supported by the National Science Foundation under Grant Numbers AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MICINN under grants ESP2017-89838, PGC2018-094773, PGC2018-102021, SEV-2016-0588, SEV-2016-0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Program (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciência e Tecnologia (INCT) do e-Universo (CNPq grant 465376/2014-2). This manuscript has been authored by Fermi Research Alliance, LLC under Contract No. DE-AC02-07CH11359 with the U.S. Department of Energy, Office of Science, Office of High Energy Physics. NM acknowledges support from a European Research Council (ERC) Starting Grant under the European Union’s Horizon 2020 research and innovation programme (grant agreement no. 851274). MRB is supported by DOE grant DE-AC02-06CH11357. This work was supported by the Department of Energy, Laboratory Directed Research and Development program at SLAC National Accelerator Laboratory, under contract DE-AC02-76SF00515 and as part of the Panofsky Fellowship awarded to DG. MJ is partially supported by the U.S. Department of Energy grant DE-SC0007901 and funds from the University of Pennsylvania. AC acknowledges support from NASA grant 15-WFIRST15-0008. RR, IH, and SB acknowledge support from the European Research Council in the form of a Consolidator Grant with number 681431. IH also acknowledges support from the Beecroft Trust. We gratefully acknowledge the computing resources provided on Bebop, a high-performance computing cluster operated by the Laboratory Computing Resource Center at Argonne National Laboratory, and the RHIC Atlas Computing Facility, operated by Brookhaven National Laboratory. This research used resources of the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility operated under Contract No. DE-AC02-05CH11231.
Published: 2022

23. Communities of Resistance along the Border

Author: David Bacon
Subjects: Sociology and Political Science, Geography, Planning and Development
Published: 2023

24. About the Artist: Red and Brown Fresno

Author: David Bacon
Subjects: Cultural Studies, Linguistics and Language, History, Anthropology, Language and Linguistics
Published: 2021

25. Assessing tension metrics with dark energy survey and Planck data

Author: Martin Crocce, Antonella Palmese, G. Tarle, I. Ferrero, Matt J. Jarvis, Samuel Hinton, J. Myles, David J. James, G. Gutierrez, Tim Eifler, M. A. G. Maia, M. Rodriguez-Monroy, A. Roodman, Tommaso Giannantonio, R. P. Rollins, Pablo Fosalba, D. L. Burke, J. De Vicente, J. DeRose, E. Suchyta, M Gatti, Josh Frieman, Elisabeth Krause, M. Costanzi, M. E. C. Swanson, W. G. Hartley, Joseph J. Mohr, Ben Hoyle, August E. Evrard, Juan Garcia-Bellido, Daniel Thomas, S. Samuroff, Jack Elvin-Poole, Enrique Gaztanaga, I. Harrison, M. March, Markus Rau, S. Pandey, J. Muir, S. Allam, Robert A. Gruendl, Peter Melchior, Ofer Lahav, A. A. Plazas Malagón, J. Carretero, Tamara M. Davis, E. Bertin, Michael Schubnell, B. Flaugher, V. Scarpine, Maria E. S. Pereira, Felipe Menanteau, E. M. Huff, P. Lemos, Michel Aguena, M. Carrasco Kind, W. C. Wester, Michael Troxel, A. Choi, Robert Morgan, Youngsoo Park, J. Gschwend, K. Honscheid, Gary Bernstein, I. Sevilla-Noarbe, R. L. C. Ogando, R. Cawthon, M. Soares-Santos, Ramon Miquel, A. Carnero Rosell, Christopher J. Conselice, D. L. Hollowood, N. Weaverdyck, Peter Doel, Marco Raveri, K. D. Eckert, T. N. Varga, H. T. Diehl, David Bacon, Niall MacCrann, S. Serrano, Paul Martini, A. Campos, Agnès Ferté, David J. Brooks, J. Prat, S. Everett, Marcos Lima, M. Smith, Daniel Gruen, Jennifer L. Marshall, Dragan Huterer, D. W. Gerdes, J. Annis, Joe Zuntz, F. Paz-Chinchón, Andrew R. Liddle, Jochen Weller, F. J. Castander, C. Doux, Chun-Hao To, E. J. Sanchez, Jonathan Blazek, L. F. Secco, Scott Dodelson, Santiago Avila, Chihway Chang, S. Desai, UAM. Departamento de Física Teórica, Lemos, P., Raveri, M., Campos, A., Park, Y., Chang, C., Weaverdyck, N., Huterer, D., Liddle, A. R., Blazek, J., Cawthon, R., Choi, A., Derose, J., Dodelson, S., Doux, C., Gatti, M., Gruen, D., Harrison, I., Krause, E., Lahav, O., Maccrann, N., Muir, J., Prat, J., Rau, M. M., Rollins, R. P., Samuroff, S., Zuntz, J., Aguena, M., Allam, S., Annis, J., Avila, S., Bacon, D., Bernstein, G. M., Bertin, E., Brooks, D., Burke, D. L., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Castander, F. J., Conselice, C., Costanzi, M., Crocce, M., Pereira, M. E. S., Davis, T. M., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., Eckert, K., Eifler, T. F., Elvin-Poole, J., Everett, S., Evrard, A. E., Ferrero, I., Ferté, A., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Gerdes, D. W., Giannantonio, T., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hartley, W. G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Hoyle, B., Huff, E. M., James, D. J., Jarvis, M., Lima, M., Maia, M. A. G., March, M., Marshall, J. L., Martini, P., Melchior, P., Menanteau, F., Miquel, R., Mohr, J. J., Morgan, R., Myles, J., Ogando, R. L. C., Palmese, A., Pandey, S., Paz-Chinchón, F., Plazas Malagón, A. A., Rodriguez-Monroy, M., Roodman, A., Sanchez, E., Scarpine, V., Schubnell, M., Secco, L. F., Serrano, S., Sevilla-Noarbe, I., Smith, M., Soares-Santos, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Troxel, M. A., Varga, T. N., Weller, J., Wester, W., Des, Collaboration, National Science Foundation (US), Ministerio de Ciencia, Innovación y Universidades (España), European Commission, Generalitat de Catalunya, Fermilab, Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), and DES
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO), Statistical [Methods], Physics beyond the Standard Model, Cosmic microwave background, FOS: Physical sciences, Lambda-CDM model, robustness, Astrophysics::Cosmology and Extragalactic Astrophysics, 01 natural sciences, Cosmology: Observations, Observations [Cosmology], Cosmological parameters, Cosmology: observations, Methods: statistical, Methods: Statistical, Bayes' theorem, symbols.namesake, statistical, cosmological parameters, cosmology: observations [methods], 0103 physical sciences, ST/T000473/1, Statistical physics, [PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det], Planck, Instrumentation and Methods for Astrophysics (astro-ph.IM), 010303 astronomy & astrophysics, STFC, Physics, inference, cosmological constant, 010308 nuclear & particles physics, Tension (physics), methods: statistical, cosmological parameters, cosmology: observations, Estimator, RCUK, Física, Astronomy and Astrophysics, ST/R000476/1, universe, Astronomía, Space and Planetary Science, symbols, Dark energy, Cosmological Parameters, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Lemos, P. et al., Quantifying tensions – inconsistencies amongst measurements of cosmological parameters by different experiments – has emerged as a crucial part of modern cosmological data analysis. Statistically significant tensions between two experiments or cosmological probes may indicate new physics extending beyond the standard cosmological model and need to be promptly identified. We apply several tension estimators proposed in the literature to the dark energy survey (DES) large-scale structure measurement and Planck cosmic microwave background data. We first evaluate the responsiveness of these metrics to an input tension artificially introduced between the two, using synthetic DES data. We then apply the metrics to the comparison of Planck and actual DES Year 1 data. We find that the parameter differences, Eigentension, and Suspiciousness metrics all yield similar results on both simulated and real data, while the Bayes ratio is inconsistent with the rest due to its dependence on the prior volume. Using these metrics, we calculate the tension between DES Year 1 3 × 2pt and Planck, finding the surveys to be in ∼2.3σ tension under the ΔCDM paradigm. This suite of metrics provides a toolset for robustly testing tensions in the DES Year 3 data and beyond., The DES data management system is supported by the National Science Foundation under grant numbers AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by Ministerio de Ciencia e Innovación (MICINN) under grants ESP2017-89838, PGC2018-094773, PGC2018-102021, SEV-2016-0588, SEV-2016-0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the Centres de Recerca de Catalunya (CERCA) program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Program (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciência e Tecnologia (INCT) do e-Universo (CNPq grant 465376/2014-2). This manuscript has been authored by Fermi Research Alliance, LLC under Contract No. DE-AC02-07CH11359 with the U.S. Department of Energy, Office of Science, Office of High Energy Physics.
Published: 2021

26. In Mexico, a New Dawn for Independent Unions?

Author: David Bacon
Subjects: 060101 anthropology, Political science, 05 social sciences, 0507 social and economic geography, Economic reform, Economic history, 0601 history and archaeology, 06 humanities and the arts, 050703 geography, Purchasing
Abstract: In a speech to Mexican Congress during his December 1, 2018 inauguration, President Andres Manuel Lopez Obrador charged that 36 years of neo- liberal economic reforms had lowered the purchasing pow...
Published: 2019

27. A Novel Tool to Guide Reintegration of Anesthesiologists Into Clinical and Academic Work After Concussion

Author: Randall M. Schell, Kevin W. Hatton, J. David Bacon, and Katherine McKinney
Subjects: Adult, Male, Protocol (science), medicine.medical_specialty, Post-Concussion Syndrome, business.industry, Traumatic brain injury, Cognition, Recovery of Function, General Medicine, medicine.disease, Anesthesiologists, Anesthesiology, Practice Guidelines as Topic, Concussion, medicine, Physical therapy, Humans, business, Brain Concussion
Abstract: Concussion is a common form of mild traumatic brain injury that can cause somatic, cognitive, and behavioral impairments lasting days to weeks. There are no published guidelines or recommendations to facilitate the safe and successful reintegration of anesthesiologist clinicians and trainees into clinical and academic work after concussion. We developed a simple 4-phase postconcussion recovery protocol for anesthesiologists who have suffered concussion and describe the successful use of this postconcussion recovery protocol to support reintegration of an Anesthesiology Critical Care Medicine fellow who developed mild concussion during vacation leave.
Published: 2019

28. First cosmological results using Type Ia supernovae from the Dark Energy Survey: measurement of the Hubble constant

Author: F. J. Castander, Geraint F. Lewis, W. G. Hartley, Alex Drlica-Wagner, T. M. C. Abbott, C. B. D'Andrea, Tesla E. Jeltema, Dragan Huterer, E. J. Sanchez, D. A. Finley, M. Carrasco Kind, Tenglin Li, Santiago Avila, Carlos E. Cunha, Robert C. Nichol, N. E. Sommer, Vinu Vikram, J. Carretero, Santiago González-Gaitán, R. H. Schindler, K. Bechtol, Tamara M. Davis, E. Swann, D. L. Burke, A. Carnero Rosell, Samuel Hinton, Ben Hoyle, J. Annis, Edward Macaulay, David Brooks, M. E. C. Swanson, Peter Nugent, Martin Crocce, G. Gutierrez, Daniel Thomas, Mark Sullivan, Joshua A. Frieman, P. Wiseman, E. Suchyta, August E. Evrard, Antonella Palmese, Ryan J. Foley, N. Kuropatkin, Daniel Scolnic, A. G. Kim, V. Scarpine, S. Allam, Robert A. Gruendl, E. Kasai, R. C. Thomas, M. A. G. Maia, Mathew Smith, C. Lidman, Peter de Nully Brown, Alistair R. Walker, Lluís Galbany, D. Brout, Jacobo Asorey, S. Serrano, Marcelle Soares-Santos, Jennifer L. Marshall, Enrique Gaztanaga, L. N. da Costa, Rob Sharp, M. Sako, Brad E. Tucker, J. Calcino, David J. James, Daniela Carollo, Bruce A. Bassett, D. L. Hollowood, Anais Möller, A. A. Plazas, Pablo Fosalba, Bonnie Zhang, Richard Kessler, Bhuvnesh Jain, J. De Vicente, K. Honscheid, S. A. Uddin, Karl Glazebrook, Marcos Lima, Flavia Sobreira, M. S. Schubnell, Ofer Lahav, I. Sevilla-Noarbe, J. Lasker, Juan Garcia-Bellido, A. Roodman, Juan Estrada, B. Flaugher, H. T. Diehl, C. Davis, Kyler Kuehn, Daniel Gruen, David Bacon, Alexei V. Filippenko, J. Gschwend, Gregory Tarle, P. Martini, Tim Eifler, Elisabeth Krause, Ramon Miquel, P. Doel, Thomas E. Collett, Huan Lin, J. K. Hoormann, A. K. Romer, and Yen-Chen Pan
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO), Cepheid variable, media_common.quotation_subject, Cosmic microwave background, FOS: Physical sciences, Astrophysics::Cosmology and Extragalactic Astrophysics, Astrophysics, 01 natural sciences, symbols.namesake, 0103 physical sciences, Astrophysics::Solar and Stellar Astrophysics, 010303 astronomy & astrophysics, Astrophysics::Galaxy Astrophysics, QC, STFC, media_common, Physics, 010308 nuclear & particles physics, Cosmic distance ladder, RCUK, SATÉLITES ARTIFICIAIS, Astronomy and Astrophysics, Universe, Redshift, Space and Planetary Science, astro-ph.CO, Dark energy, symbols, ST/N000668/1, Baryon acoustic oscillations, Astrophysics - Cosmology and Nongalactic Astrophysics, Hubble's law
Abstract: We present an improved measurement of the Hubble constant (H_0) using the 'inverse distance ladder' method, which adds the information from 207 Type Ia supernovae (SNe Ia) from the Dark Energy Survey (DES) at redshift 0.018 < z < 0.85 to existing distance measurements of 122 low redshift (z < 0.07) SNe Ia (Low-z) and measurements of Baryon Acoustic Oscillations (BAOs). Whereas traditional measurements of H_0 with SNe Ia use a distance ladder of parallax and Cepheid variable stars, the inverse distance ladder relies on absolute distance measurements from the BAOs to calibrate the intrinsic magnitude of the SNe Ia. We find H_0 = 67.8 +/- 1.3 km s-1 Mpc-1 (statistical and systematic uncertainties, 68% confidence). Our measurement makes minimal assumptions about the underlying cosmological model, and our analysis was blinded to reduce confirmation bias. We examine possible systematic uncertainties and all are below the statistical uncertainties. Our H_0 value is consistent with estimates derived from the Cosmic Microwave Background assuming a LCDM universe (Planck Collaboration et al. 2018)., 15 pages, 5 figures, updated to match accepted version
Published: 2019

29. Simulation of the interaction between an edge dislocation and ⟨111⟩ interstitial dislocation loops in α-iron

Author: Panagiotis Grammatikopoulos, Yuri N. Osetsky, and David Bacon
Subjects: 010302 applied physics, Nuclear and High Energy Physics, Radiation, Materials science, Strain (chemistry), Condensed matter physics, Interatomic potential, 02 engineering and technology, Strain rate, 021001 nanoscience & nanotechnology, Condensed Matter Physics, 01 natural sciences, Loop (topology), Molecular dynamics, 0103 physical sciences, Atom, Radiation damage, General Materials Science, Dislocation, 0210 nano-technology
Abstract: The dependence of the interactions of intermediate-size ½ self-interstitial atom (SIA) loops with an edge dislocation on strain rate and temperature was investigated by molecular dynamics (MD) simulations for the interatomic potential derived by Ackland et al. (A97). For low temperatures (T = 1 K), the mechanisms of the interactions were in agreement with recent literature. It was shown that a second passing of the dislocation through the loop led to a different mechanism than the one that occurred upon first passing. Since these mechanisms are associated with different SIA loop sizes, and since the loop lost a number of SIAs upon first interaction, it was deduced that the dividing threshold between large and small loops (rendering them strong or weak obstacles, respectively) is at the vicinity of the loop size studied (169 SIAs). For higher temperatures (T = 300 K), the strain rate dependence proved strong: for low strain rates, the dislocation absorbed the loop as a double super-jog almost ...
Published: 2019

30. Exploring the contamination of the DES-Y1 cluster sample with SPT-SZ selected clusters

Author: A. Saro, B. Ansarinejad, Lindsey Bleem, T. F. Eifler, Santiago Serrano, Jochen Weller, D. L. Burke, Joseph J. Mohr, Chun-Hao To, Ramon Miquel, E. J. Sanchez, E. Bertin, H. T. Diehl, S. R. Hinton, D. L. Hollowood, R. Ogando, M. Carrasco Kind, J. Myles, F. Paz-Chinchón, A. Carnero Rosel, M. Lima, P. Doel, A. A. Plazas, D. H. Brooks, Shantanu Desai, David James, A. Choi, M. E.C. Swanson, J. Annis, J. Gschwend, Peter Melchior, Matthias Klein, E. Suchyta, David Bacon, Robert A. Gruendl, I. Ferrero, Tesla E. Jeltema, G. Gutierrez, L. N. Da Costa, S. Bocquet, K. Honscheid, Antonella Palmese, M. A. G. Maia, Christian L. Reichardt, Jennifer L. Marshall, J. Frieman, S. Allam, M. Costanzi, V. Scarpine, A. K. Romer, D. Gruen, C. Lidman, Sebastian Grandis, Felipe Menanteau, M. Aguena, Gregory Tarle, P. Fosalba, O. Lahav, J. De Vincente, Parampreet Singh, S. Everett, Robert Morgan, E. Gaztanaga, K. Kuehn, D. Thomas, H. Wu, B. Floyd, J. P. Dietrich, Juan Garcia-Bellido, J. Carretero, N. Gupta, M. Smith, F. J. Castander, M. March, R. D. Wilkinson, I. Sevilla-Noarbe, National Science Foundation (US), Ministerio de Economía y Competitividad (España), European Commission, Generalitat de Catalunya, Instituto Nacional de Ciência e Tecnologia (Brasil), Grandis, S., Mohr, J. J., Costanzi, M., Saro, A., Bocquet, S., Klein, M., Aguena, M., Allam, S., Annis, J., Ansarinejad, B., Bacon, D., Bertin, E., Bleem, L., Brooks, D., Burke, D. L., Carnero Rosel, A., Carrasco Kind, M., Carretero, J., Castander, F. J., Choi, A., da Costa, L. N., De Vincente, J., Desai, S., Diehl, H. T., Dietrich, J. P., Doel, P., Eifler, T. F., Everett, S., Ferrero, I., Floyd, B., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Gruen, D., Gruendl, R. A., Gschwend, J., Gupta, N., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Jeltema, T., Kuehn, K., Lahav, O., Lidman, C., Lima, M., Maia, M. A. G., March, M., Marshall, J. L., Melchior, P., Menanteau, F., Miquel, R., Morgan, R., Myles, J., Ogando, R., Palmese, A., Paz-Chinchón, F., Plazas, A. A., Reichardt, C. L., Romer, A. K., Sanchez, E., Scarpine, V., Serrano, S., Sevilla-Noarbe, I., Singh, P., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Weller, J., Wilkinson, R. D., and Wu, H.
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO), Large-scale structure of Universe, statistical [methods], Population, FOS: Physical sciences, Astrophysics, Lambda, 01 natural sciences, large-scale structure of Universe, methods: statistical, galaxies: clusters: general, Astrophysics - Cosmology and Nongalactic Astrophysics, Galaxy group, 0103 physical sciences, clusters: general [galaxies], education, 010303 astronomy & astrophysics, STFC, Weak gravitational lensing, Galaxy cluster, Methods: statistical, Physics, education.field_of_study, 010308 nuclear & particles physics, RCUK, Astronomy and Astrophysics, Redshift, Projection (relational algebra), South Pole Telescope, 13. Climate action, Space and Planetary Science, Galaxies: clusters: general
Abstract: Grandis, S., et al. (DES Colaboration), We perform a cross validation of the cluster catalogue selected by the red-sequence Matched-filter Probabilistic Percolation algorithm (redMaPPer) in Dark Energy Survey year 1 (DES-Y1) data by matching it with the Sunyaev-Zel'dovich effect (SZE) selected cluster catalogue from the South Pole Telescope SPT-SZ survey. Of the 1005 redMaPPer selected clusters with measured richness $\hat{\lambda }\gt 40$ in the joint footprint, 207 are confirmed by SPT-SZ. Using the mass information from the SZE signal, we calibrate the richness-mass relation using a Bayesian cluster population model. We find a mass trend λ ∝ MB consistent with a linear relation (B ∼1), no significant redshift evolution and an intrinsic scatter in richness of σλ = 0.22 ± 0.06. By considering two error models, we explore the impact of projection effects on the richness-mass modelling, confirming that such effects are not detectable at the current level of systematic uncertainties. At low richness SPT-SZ confirms fewer redMaPPer clusters than expected. We interpret this richness dependent deficit in confirmed systems as due to the increased presence at low richness of low-mass objects not correctly accounted for by our richness-mass scatter model, which we call contaminants. At a richness $\hat{\lambda }=40$, this population makes up ${\gt}12{{\ \rm per\ cent}}$ (97.5 percentile) of the total population. Extrapolating this to a measured richness $\hat{\lambda }=20$ yields ${\gt}22{{\ \rm per\ cent}}$ (97.5 percentile). With these contamination fractions, the predicted redMaPPer number counts in different plausible cosmologies are compatible with the measured abundance. The presence of such a population is also a plausible explanation for the different mass trends (B ∼0.75) obtained from mass calibration using purely optically selected clusters. The mean mass from stacked weak lensing (WL) measurements suggests that these low-mass contaminants are galaxy groups with masses ∼3-5 × 1013 M⊙ which are beyond the sensitivity of current SZE and X-ray surveys but a natural target for SPT-3G and eROSITA., The DES data management system is supported by the National Science Foundation under Grant Numbers AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MINECO under grants AYA2015-71825, ESP2015-66861, FPA2015-68048, SEV-2016-0588, SEV-2016-0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Program (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciência e Tecnologia (INCT) e-Universe (CNPq grant 465376/2014-2).
Published: 2021

31. Atacama Cosmology Telescope: A Catalog of >4000 Sunyaev–Zel’dovich Galaxy Clusters

Author: Eli S. Rykoff, Jo Dunkley, E. Bertin, Ofer Lahav, Nick Battaglia, M. Soares-Santos, Hironao Miyatake, Shannon M. Duff, R. D. Wilkinson, Adriaan J. Duivenvoorden, L. N. da Costa, Joel N. Ullom, Robert Morgan, D. L. Burke, Devin Crichton, Kavilan Moodley, Peter Doel, Alexandra Amon, Edward J. Wollack, N. C. Robertson, H. T. Diehl, Joseph E. Golec, Sunayana Bhargava, Samuel Hinton, Emmanuel Schaan, Enrique Gaztanaga, Megan Gralla, David N. Spergel, Johannes Hubmayr, Simon Dicker, David Bacon, S. Allam, Robert A. Gruendl, Simone Ferraro, C. Aros-Bunster, Felipe Menanteau, G. Gutierrez, Kevin M. Huffenberger, Daniel Thomas, Ramon Miquel, Michael D. Niemack, I. Ferrero, Mathew S. Madhavacheril, J. P. Dietrich, Niall MacCrann, Juan Garcia-Bellido, Tesla E. Jeltema, David J. James, Yanxi Zhang, A. K. Romer, Ben Hoyle, Hy Trac, Mark J. Devlin, Patricio A. Gallardo, J. Gschwend, A. A. Plazas, Brian J. Koopman, Rolando Dünner, Zhilei Xu, Simone Aiola, Behzad Ansarinejad, A. Choi, Jeff McMahon, Eduardo Rozo, Gary Bernstein, K. Honscheid, Michel Aguena, Tanay Bhandarkar, Dan Becker, C. Sifon, Neelima Sehgal, Bhuvnesh Jain, Laura Newburgh, Dongwon Han, F. Paz-Chinchón, J. R. Bond, Kyler Kuehn, Peter Melchior, M. Carrasco Kind, Eve M. Vavagiakis, Steve K. Choi, Suzanne T. Staggs, Paul Giles, R. L. C. Ogando, J. C. Hill, Federico Nati, M. E. C. Swanson, E. V. Denison, Kevin T. Crowley, Tony Mroczkowski, W. G. Hartley, Antonella Palmese, Martine Lokken, S. Kent, Alessandro Schillaci, Masamune Oguri, John P. Hughes, M. A. G. Maia, Maria Salatino, S. Amodeo, T. Shin, S. Adhikari, M. Hasselfield, M. Costanzi, S. I. Loubser, J. Van Lanen, B. Partridge, Sigurd Naess, Adam D. Hincks, J. A. Beall, B. Flaugher, S. M. Simon, Jason E. Austermann, S. P. Ho, John Orlowski-Scherer, M. Smith, Daniel Gruen, J. Martin, D. W. Gerdes, J. Annis, Kenda Knowles, David J. Brooks, Erminia Calabrese, Emilie R. Storer, Gene C. Hilton, Leila R. Vale, Salcedo Romero de Ávila, Phumlani Phakathi, Josh Frieman, Yen-Ting Lin, T. M. C. Abbott, Chun-Hao To, E. J. Sanchez, J. Carretero, E. Suchyta, Matt Hilton, Christopher J. Conselice, Tobias A. Marriage, Sebastian Grandis, A. Carnero Rosell, Agnès Ferté, Anton T. Jaelani, Marcos Lima, S. Everett, S. Serrano, Lyman A. Page, J. De Vicente, Atsushi J. Nishizawa, G. Tarle, UAM. Departamento de Física Teórica, Hilton, M, Sifon, C, Naess, S, Madhavacheril, M, Oguri, M, Rozo, E, Rykoff, E, Adhikari, S, Aguena, M, Aiola, S, Allam, S, Amodeo, S, Amon, A, Annis, J, Ansarinejad, B, Abbott, T, Aros-Bunster, C, Austermann, J, Avila, S, Bacon, D, Battaglia, N, Beall, J, Becker, D, Bernstein, G, Bertin, E, Bhandarkar, T, Bhargava, S, Bond, J, Brooks, D, Burke, D, Calabrese, E, Carrasco Kind, M, Carretero, J, Choi, S, Choi, A, Conselice, C, Da Costa, L, Costanzi, M, Crichton, D, Crowley, K, Dunner, R, Denison, E, Devlin, M, Dicker, S, Diehl, H, Dietrich, J, Doel, P, Duff, S, Duivenvoorden, A, Dunkley, J, Everett, S, Ferraro, S, Ferte, A, Flaugher, B, Frieman, J, Ferrero, I, Gallardo, P, Garcia-Bellido, J, Gaztanaga, E, Giles, P, Golec, J, Gralla, M, Grandis, S, Gruen, D, Gerdes, D, Gruendl, R, Gschwend, J, Gutierrez, G, Han, D, Hartley, W, Hasselfield, M, Hill, J, Hilton, G, Hincks, A, Hinton, S, Ho, S, Honscheid, K, Hoyle, B, Hubmayr, J, Huffenberger, K, Hughes, J, Jaelani, A, Jain, B, James, D, Jeltema, T, Kent, S, Knowles, K, Koopman, B, Kuehn, K, Lahav, O, Lima, M, Lin, Y, Lokken, M, Loubser, S, Maccrann, N, Maia, M, Marriage, T, Martin, J, Mcmahon, J, Melchior, P, Menanteau, F, Miquel, R, Moodley, K, Morgan, R, Mroczkowski, T, Nati, F, Newburgh, L, Niemack, M, Nishizawa, A, Miyatake, H, Ogando, R, Orlowski-Scherer, J, Page, L, Palmese, A, Partridge, B, Paz-Chinchon, F, Phakathi, P, Plazas, A, Robertson, N, Romer, A, Carnero Rosell, A, Sanchez, E, Schaan, E, Schillaci, A, Sehgal, N, Serrano, S, Shin, T, Simon, S, Smith, M, Salatino, M, Soares-Santos, M, Spergel, D, Staggs, S, Storer, E, Suchyta, E, Swanson, M, Tarle, G, Thomas, D, To, C, Trac, H, Ullom, J, Vale, L, Van Lanen, J, Vavagiakis, E, De Vicente, J, Wilkinson, R, Wollack, E, Xu, Z, Zhan, Y, Hilton, M., Sifón, C., Naess, S., Madhavacheril, M., Oguri, M., Rozo, E., Rykoff, E., Abbott, T. M. C., Adhikari, S., Aguena, M., Aiola, S., Allam, S., Amodeo, S., Amon, A., Annis, J., Ansarinejad, B., Aros-Bunster, C., Austermann, J. E., Avila, S., Bacon, D., Battaglia, N., Beall, J. A., Becker, D. T., Bernstein, G. M., Bertin, E., Bhandarkar, T., Bhargava, S., Bond, J. R., Brooks, D., Burke, D. L., Calabrese, E., Carretero, J., Choi, S. K., Choi, A., Conselice, C., da Costa, L. N., Costanzi, M., Crichton, D., Crowley, K. T., Dünner, R., Denison, E. V., Devlin, M. J., Dicker, S. R., Diehl, H. T., Dietrich, J. P., Doel, P., Duff, S. M., Duivenvoorden, A. J., Dunkley, J., Everett, S., Ferraro, S., Ferrero, I., Ferté, A., Flaugher, B., Frieman, J., Gallardo, P. A., García-Bellido, J., Gaztanaga, E., Gerdes, D. W., Giles, P., Golec, J. E., Gralla, M. B., Grandis, S., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Han, D., Hartley, W. G., Hasselfield, M., Hill, J. C., Hilton, G. C., Hincks, A. D., Hinton, S. R., S-P. P., Ho, Honscheid, K., Hoyle, B., Hubmayr, J., Huffenberger, K. M., Hughes, J. P., Jaelani, A. T., Jain, B., James, D. J., Jeltema, T., Kent, S., Carrasco Kind, M., Knowles, K., Koopman, B. J., Kuehn, K., Lahav, O., Lima, M., Lin, Y-T., Lokken, M., Loubser, S. I., Maccrann, N., Maia, M. A. G., Marriage, T. A., Martin, J., Mcmahon, J., Melchior, P., Menanteau, F., Miquel, R., Miyatake, H., Moodley, K., Morgan, R., Mroczkowski, T., Nati, F., Newburgh, L. B., Niemack, M. D., Nishizawa, A. J., Ogando, R. L. C., Orlowski-Scherer, J., Page, L. A., Palmese, A., Partridge, B., Paz-Chinchón, F., Phakathi, P., Plazas, A. A., Robertson, N. C., Romer, A. K., Carnero Rosell, A., Salatino, M., Sanchez, E., Schaan, E., Schillaci, A., Sehgal, N., Serrano, S., Shin, T., Simon, S. M., Smith, M., Soares-Santos, M., Spergel, D. N., Staggs, S. T., Storer, E. R., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Trac, H., Ullom, J. N., Vale, L. R., Van Lanen, J., Vavagiakis, E. M., De Vicente, J., Wilkinson, R. D., Wollack, E. J., Xu, Z., and Zhang, Y.
Subjects: Galaxy clusters, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, 01 natural sciences, Cosmology, Large-scale structure of the universe, Astrophysics - Cosmology and Nongalactic Astrophysics, Intracluster medium, 0103 physical sciences, Cluster (physics), Sunyaev-Zeldovich Effect, 010303 astronomy & astrophysics, Cosmology, Galaxy clusters, Galaxy cluster, Astrophysics::Galaxy Astrophysics, AGLOMERADOS (GALÁXIA), Physics, 010308 nuclear & particles physics, Star formation, Física, Astronomy and Astrophysics, XMM-newton Telescope, Galaxies, Galaxy, Redshift, Space and Planetary Science, Atacama Cosmology Telescope
Abstract: Hilton, M., et al., We present a catalog of 4195 optically confirmed Sunyaev–Zel’dovich (SZ) selected galaxy clusters detected with signal-to-noise ratio >4 in 13,211 deg of sky surveyed by the Atacama Cosmology Telescope (ACT). Cluster candidates were selected by applying a multifrequency matched filter to 98 and 150 GHz maps constructed from ACT observations obtained from 2008 to 2018 and confirmed using deep, wide-area optical surveys. The clusters span the redshift range 0.04 < z < 1.91 (median z = 0.52). The catalog contains 222 z > 1 clusters, and a total of 868 systems are new discoveries. Assuming an SZ signal versus mass-scaling relation calibrated from X-ray observations, the sample has a 90% completeness mass limit of M > 3.8 × 10 M, evaluated at z = 0.5, for clusters detected at signal-to-noise ratio >5 in maps filtered at an angular scale of 2 4. The survey has a large overlap with deep optical weak-lensing surveys that are being used to calibrate the SZ signal mass-scaling relation, such as the Dark Energy Survey (4566 deg), the Hyper Suprime-Cam Subaru Strategic Program (469 deg), and the Kilo Degree Survey (825 deg). We highlight some noteworthy objects in the sample, including potentially projected systems, clusters with strong lensing features, clusters with active central galaxies or star formation, and systems of multiple clusters that may be physically associated. The cluster catalog will be a useful resource for future cosmological analyses and studying the evolution of the intracluster medium and galaxies in massive clusters over the past 10 Gyr., The DES Data Management System is supported by the NSF under Grant Nos. AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MICINN under grants ESP2017-89838, PGC2018-094773, PGC2018-102021, SEV-2016-0588, SEV-2016-0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Unionʼs Seventh Framework Program (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciência e Tecnologia (INCT) do e-Universo (CNPq grant 465376/2014-2).
Published: 2021

32. The Children of NAFTA: Labor Wars on the U.S./Mexico Border

Author: David Bacon
Published: 2004

33. Manifest

Author: David Bacon and David Bacon
Abstract: A fatal fall during steel erection, witnessed by many, was misinterpreted in various ways, leading to further deaths and impacting future generations. The tragic repercussions echoed through time, dividing those involved. It took another war to unite them and heal the wounds of the past.
Published: 2024

34. Dark Energy Survey Year 3 results: Optimizing the lens sample in a combined galaxy clustering and galaxy-galaxy lensing analysis

Author: F. J. Castander, T. M. C. Abbott, Chun-Hao To, E. J. Sanchez, Sarah Bridle, Santiago Avila, Alex Drlica-Wagner, G. Tarle, Xiao Fang, Maria E. S. Pereira, A. Roodman, Tommaso Giannantonio, Samuel Hinton, Alexandra Amon, Josh Frieman, Martin Crocce, R. D. Wilkinson, G. Gutierrez, F. Paz-Chinchón, Sunayana Bhargava, V. Scarpine, Ramon Miquel, Jennifer L. Marshall, Shantanu Desai, Felipe Menanteau, N. Weaverdyck, A. Carnero Rosell, B. Flaugher, David J. Brooks, M. Carrasco Kind, M. E. C. Swanson, J. Carretero, M. Smith, Daniel Gruen, David J. James, Robert Morgan, W. G. Hartley, Pablo Fosalba, E. Gaztanaga, D. W. Gerdes, A. Choi, K. Honscheid, Juan Garcia-Bellido, E. Bertin, Elisabeth Krause, I. Ferrero, Matt J. Jarvis, Agnès Ferté, Peter Doel, D. L. Hollowood, S. Serrano, H. T. Diehl, S. Allam, Robert A. Gruendl, E. Suchyta, David Bacon, R. Cawthon, Niall MacCrann, J. Gschwend, A. Porredon, M. Costanzi, Michel Aguena, S. Pandey, I. Sevilla-Noarbe, J. De Vicente, Kyler Kuehn, N. Kuropatkin, K. D. Eckert, T. N. Varga, L. N. da Costa, M. Soares-Santos, S. Samuroff, Ben Hoyle, Antonella Palmese, M. A. G. Maia, M. Rodriguez-Monroy, Jack Elvin-Poole, A. A. Plazas, Jochen Weller, T. F. Eifler, Ministerio de Ciencia, Innovación y Universidades (España), Ministerio de Economía y Competitividad (España), European Commission, Generalitat de Catalunya, Instituto Nacional de Ciência e Tecnologia (Brasil), UAM. Departamento de Física Teórica, Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), DES, Porredon, A., Crocce, M., Fosalba, P., Elvin-Poole, J., Carnero Rosell, A., Cawthon, R., Eifler, T. F., Fang, X., Ferrero, I., Krause, E., Maccrann, N., Weaverdyck, N., Abbott, T. M. C., Aguena, M., Allam, S., Amon, A., Avila, S., Bacon, D., Bertin, E., Bhargava, S., Bridle, S. L., Brooks, D., Carrasco Kind, M., Carretero, J., Castander, F. J., Choi, A., Costanzi, M., Da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., Drlica-Wagner, A., Eckert, K., Ferte, A., Flaugher, B., Frieman, J., Garcia-Bellido, J., Gaztanaga, E., Gerdes, D. W., Giannantonio, T., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hartley, W. G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Hoyle, B., James, D. J., Jarvis, M., Kuehn, K., Kuropatkin, N., Maia, M. A. G., Marshall, J. L., Menanteau, F., Miquel, R., Morgan, R., Palmese, A., Pandey, S., Paz-Chinchon, F., Plazas, A. A., Rodriguez-Monroy, M., Roodman, A., Samuroff, S., Sanchez, E., Scarpine, V., Serrano, S., Sevilla-Noarbe, I., Smith, M., Soares-Santos, M., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Varga, T. N., Weller, J., and Wilkinson, R. D.
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO), Physics and Astronomy (miscellaneous), Dark matter, Cosmological parameters, FOS: Physical sciences, Scale (descriptive set theory), Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, large scale structure, 01 natural sciences, 7. Clean energy, Cosmology, dark matter, Gravitational lenses, 0103 physical sciences, cosmology, Weak, Large-scale structure of the Universe, cosmological parameters, 010306 general physics, dark energy, Sky suverys, STFC, Photometric redshift, AGLOMERADOS (GALÁXIA), Physics, Gravitational Lensing, 010308 nuclear & particles physics, Equation of state (cosmology), Gravitation, Cosmology and Astrophysics, RCUK, Física, Dark enery, Dark Energy, Redshift, Galaxy, observations, 13. Climate action, Dark energy, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Porredon, A., et al. DES Collaboration, We investigate potential gains in cosmological constraints from the combination of galaxy clustering and galaxy-galaxy lensing by optimizing the lens galaxy sample selection using information from Dark Energy Survey (DES) Year 3 data and assuming the DES Year 1 metacalibration sample for the sources. We explore easily reproducible selections based on magnitude cuts in i-band as a function of (photometric) redshift, zphot, and benchmark the potential gains against those using the well-established redMaGiC [E. Rozo et al., Mon. Not. R. Astron. Soc. 461, 1431 (2016)MNRAA40035-871110.1093/mnras/stw1281] sample. We focus on the balance between density and photometric redshift accuracy, while marginalizing over a realistic set of cosmological and systematic parameters. Our optimal selection, the MagLim sample, satisfies i, Funding for the DES Projects was provided by the U.S. Department of Energy, the U.S. National Science Foundation, the Ministry of Science and Education of Spain, the Science and Technology Facilities Council of the United Kingdom, the Higher Education Funding Council for England, the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign, the Kavli Institute of Cosmological Physics at the University of Chicago, the Center for Cosmology and Astro-Particle Physics at the Ohio State University, the Mitchell Institute for Fundamental Physics and Astronomy at Texas A&M University, Financiadora de Estudos e Projetos, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro, Conselho Nacional de Desenvolvimento Científico e Tecnológico and the Ministério da Ciência, Tecnologia e Inovação, the Deutsche Forschungsgemeinschaft, and the collaborating institutions in the Dark Energy Survey. The collaborating institutions are Argonne National Laboratory, the University of California at Santa Cruz, the University of Cambridge, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas-Madrid, the University of Chicago, University College London, the DES-Brazil Consortium, the University of Edinburgh, the Eidgenössische Technische Hochschule Zürich, Fermi National Accelerator Laboratory, the University of Illinois at Urbana-Champaign, the Institut de Ciències de l’Espai (IEEC/CSIC), the Institut de Física d’Altes Energies, Lawrence Berkeley National Laboratory, the Ludwig-Maximilians Universität München and the associated Excellence Cluster Universe, the University of Michigan, NFS’s NOIRLab, the University of Nottingham, The Ohio State University, the University of Pennsylvania, the University of Portsmouth, SLAC National Accelerator Laboratory, Stanford University, the University of Sussex, Texas A&M University, and the OzDES Membership Consortium. Based in part on observations at Cerro Tololo Inter-American Observatory at NSF’s NOIRLab (NOIRLab Prop. ID 2012B-0001; PI: J. Frieman), which is managed by the Association of Universities for Research in Astronomy under a cooperative agreement with the National Science Foundation. The DES data management system was supported by the National Science Foundation under Grants No. AST-1138766 and No. AST-1536171. The DES participants from Spanish institutions were partially supported by MICINN under Grants No. ESP2017-89838, No. PGC2018-094773, No. PGC2018-102021, No. SEV-2016-0588, No. SEV-2016-0597, and No. MDM-2015-0509, some of which include ERDF funds from the European Union. I. F. A. E. was partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results received funding from the European Research Council under the European Union’s Seventh Framework Program (FP7/2007-2013) including ERC Grants No. 240672, No. 291329, and No. 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciência e Tecnologia do e-Universo (CNPq Grant No. 465376/2014-2). This work was authored by Fermi Research Alliance, LLC under Contract No. DE-AC02-07CH11359 with the U.S. Department of Energy, Office of Science, Office of High Energy Physics.
Published: 2021

35. OzDES Reverberation Mapping Program: Lag recovery reliability for 6-year CIV analysis

Author: G. Tarle, Maria E. S. Pereira, E. Suchyta, R. D. Wilkinson, Daniela Carollo, I. Ferrero, A. Carnero Rosell, Samuel Hinton, J. Gschwend, Tim Eifler, Kyler Kuehn, M. E. C. Swanson, G. Gutierrez, Juan Garcia-Bellido, J. Carretero, Tamara M. Davis, Rob Sharp, Sunayana Bhargava, David J. Brooks, Antonella Palmese, M. A. G. Maia, M. Smith, D. L. Hollowood, Daniel Gruen, J. K. Hoormann, C. Lidman, B. E. Tucker, S. Serrano, Jennifer L. Marshall, A. K. Romer, Daniel Scolnic, Paul Martini, Josh Frieman, Enrique Gaztanaga, Anais Möller, E. Bertin, S. A. Uddin, D. W. Gerdes, J. Calcino, David J. James, A. A. Plazas, H. T. Diehl, David Bacon, A. Penton, A. G. Kim, Pablo Fosalba, M. Carrasco Kind, Ramon Miquel, M. Costanzi, K. Honscheid, J. Annis, J. De Vicente, W. C. Wester, S. Everett, S. Allam, Robert A. Gruendl, F. Paz-Chinchón, Felipe Menanteau, V. Scarpine, U. Malik, Chun-Hao To, Michel Aguena, E. J. Sanchez, Jacobo Asorey, N. Kuropatkin, Zhefu Yu, T. N. Varga, L. N. da Costa, Robert Morgan, Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique de Clermont (LPC), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA), DES, Penton, A, Malik, U, Davis, T M, Martini, P, Yu, Z, Sharp, R, Lidman, C, Tucker, B E, Hoormann, J K, Aguena, M, Allam, S, Annis, J, Asorey, J, Bacon, D, Bertin, E, Bhargava, S, Brooks, D, Calcino, J, Carnero&nbsp, Rosell, A, Carollo, D, Carrasco&nbsp, Kind, M, Carretero, J, Costanzi, M, da&nbsp, Costa, L N, Pereira, M E S, De&nbsp, Vicente, J, Diehl, H T, Eifler, T F, Everett, S, Ferrero, I, Fosalba, P, Frieman, J, García-Bellido, J, Gaztanaga, E, Gerdes, D W, Gruen, D, Gruendl, R A, Gschwend, J, Gutierrez, G, Hinton, S R, Hollowood, D L, Honscheid, K, James, D J, Kim, A G, Kuehn, K, Kuropatkin, N, Maia, M A G, Marshall, J L, Menanteau, F, Miquel, R, Morgan, R, Möller, A, Palmese, A, Paz-Chinchón, F, Plazas, A A, Romer, A K, Sanchez, E, Scarpine, V, Scolnic, D, Serrano, S, Smith, M, Suchyta, E, Swanson, M E C, Tarle, G, To, C, Uddin, S A, Varga, T N, Wester, W, Wilkinson, R D, Lewis, G, National Science Foundation (US), Ministerio de Ciencia e Innovación (España), Generalitat de Catalunya, European Commission, Instituto Nacional de Ciência e Tecnologia (Brasil), and UAM. Departamento de Física Teórica
Subjects: galaxies: active, quasars: emission lines, quasars: general, Astrophysics - Astrophysics of Galaxies, Lag, FOS: Physical sciences, 01 natural sciences, emission lines [Quasars], statistical analysis, (Galaxies:) Quasars: Emission Lines, 0103 physical sciences, quasar, silver, AGN, 010303 astronomy & astrophysics, Reliability (statistics), Physics, [PHYS]Physics [physics], general [quasars], 010308 nuclear & particles physics, ) Quasars: Emission Lines [(Galaxies], Física, Astronomy and Astrophysics, gold, (Galaxies:) Quasars: Supermassive Black Holes, Nuclei, Reliability engineering, emission line [quasars], Space and Planetary Science, quality, Astrophysics of Galaxies (astro-ph.GA), active [galaxies], slope, Reverberation mapping, dispersion, galaxy, statistical, ) Quasars: Supermassive Black Holes [(Galaxies]
Abstract: Penton, A. et al (DES Collaboration), We present the statistical methods that have been developed to analyse the OzDES reverberation mapping sample. To perform this statistical analysis we have created a suite of customizable simulations that mimic the characteristics of each source in the OzDES sample. These characteristics include: the variability in the photometric and spectroscopic light curves, the measurement uncertainties, and the observational cadence. By simulating the sources in the OzDES sample that contain the C iv emission line, we developed a set of criteria that rank the reliability of a recovered time-lag depending on the agreement between different recovery methods, the magnitude of the uncertainties, and the rate at which false positives were found in the simulations. These criteria were applied to simulated light curves and these results used to estimate the quality of the resulting Radius-Luminosity relation. We grade the results using three quality levels (gold, silver, and bronze). The input slope of the R-L relation was recovered within 1σ for each of the three quality samples, with the gold standard having the lowest dispersion with a recovered a R-L relation slope of 0.454 ± 0.016 with an input slope of 0.47. Future work will apply these methods to the entire OzDES sample of 771 AGN., The DES data management system is supported by the National Science Foundation under Grant Numbers AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MICINN under grants ESP2017-89838, PGC2018-094773, PGC2018-102021, SEV-2016-0588, SEV-2016-0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Program (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciência e Tecnologia (INCT) do e-Universo (CNPq grant 465376/2014-2).
Published: 2021

36. Cosmological Constraints from DES Y1 Cluster Abundances and SPT Multi-wavelength data

Author: E. Suchyta, F. Ruppin, Samuel Hinton, Sunayana Bhargava, M. Carrasco Kind, Felipe Menanteau, Maria E. S. Pereira, V. Scarpine, S. Samuroff, G. Gutierrez, Ramon Miquel, Enrique Gaztanaga, Jennifer L. Marshall, T. N. Varga, K. Kuehn, Elisabeth Krause, P. Fosalba, A. Choi, Josh Frieman, David J. Brooks, K. Honscheid, G. Tarle, Marcelle Soares-Santos, J. Myles, Daniel Gruen, David J. James, J. P. Dietrich, Sebastian Grandis, A. Roodman, Tommaso Giannantonio, Juan Garcia-Bellido, I. Ferrero, Daniel B. Thomas, D. W. Gerdes, Nikhel Gupta, M. E. C. Swanson, J. Annis, M. Costanzi, N. MacCrann, D. Rapetti, I. Sevilla-Noarbe, Sebastian Bocquet, A. Carnero Rosell, N. Kuropatkin, F. Paz-Chinchón, Shantanu Desai, Risa H. Wechsler, S. Everett, Antonella Palmese, E. Buckley-Geer, Agnès Ferté, L. N. da Costa, M. A. G. Maia, B. Flaugher, Joseph J. Mohr, M. N. K. Smith, Z. Zhang, A. Saro, Marcos Lima, Christian L. Reichardt, O. Lahav, A. A. Plazas, Parampreet Singh, R. L. C. Ogando, J. De Vicente, T. M. C. Abbott, Robert Morgan, Santiago Avila, D. L. Hollowood, S. Serrano, T. F. Eifler, Chun-Hao To, L. Salvati, E. J. Sanchez, H. T. Diehl, David Bacon, P. Doel, A. Amara, Douglas L. Tucker, Paul Giles, Tesla E. Jeltema, Bradford Benson, Michel Aguena, D. L. Burke, S. Allam, Robert A. Gruendl, A. A. Stark, W. G. Hartley, J. Carretero, A. K. Romer, UAM. Departamento de Física Teórica, Ministerio de Ciencia, Innovación y Universidades (España), Ministerio de Economía y Competitividad (España), European Commission, Generalitat de Catalunya, Instituto Nacional de Ciência e Tecnologia (Brasil), National Science Foundation (US), Costanzi, M., Saro, A., Bocquet, S., Abbott, T. M. C., Aguena, M., Allam, S., Amara, A., Annis, J., Avila, S., Bacon, D., Benson, B. A., Bhargava, S., Brooks, D., Buckley-Geer, E., Burke, D. L., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Choi, A., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Dietrich, J. P., Doel, P., Eifler, T. F., Everett, S., Ferrero, I., Ferté, A., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Gerdes, D. W., Giannantonio, T., Giles, P., Grandis, S., Gruen, D., Gruendl, R. A., Gupta, N., Gutierrez, G., Hartley, W. G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Jeltema, T., Krause, E., Kuehn, K., Kuropatkin, N., Lahav, O., Lima, M., Maccrann, N., Maia, M. A. G., Marshall, J. L., Menanteau, F., Miquel, R., Mohr, J. J., Morgan, R., Myles, J., Ogando, R. L. C., Palmese, A., Paz-Chinchón, F., Plazas, A. A., Rapetti, D., Reichardt, C. L., Romer, A. K., Roodman, A., Ruppin, F., Salvati, L., Samuroff, S., Sanchez, E., Scarpine, V., Serrano, S., Sevilla-Noarbe, I., Singh, P., Smith, M., Soares-Santos, M., Stark, A. A., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Tucker, D. L., Varga, T. N., Wechsler, R. H., and Zhang, Z.
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO), Physics and Astronomy (miscellaneous), media_common.quotation_subject, Cosmological parameters, FOS: Physical sciences, Galaxy clusters, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, 7. Clean energy, 01 natural sciences, XMM-Newton Telescope, Cosmology, 0103 physical sciences, Cluster (physics), Large-scale structure of the Universe, 010306 general physics, Weak gravitational lensing, STFC, media_common, AGLOMERADOS (GALÁXIA), Physics, 010308 nuclear & particles physics, Gravitation, Cosmology and Astrophysics, RCUK, Física, Galaxies, Cosmos, Redshift, Universe, Data set, South Pole Telescope, 13. Climate action, Dark energy, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Costanzi, M., et al. DES and SPT Collaborations, We perform a joint analysis of the counts of redMaPPer clusters selected from the Dark Energy Survey (DES) year 1 data and multiwavelength follow-up data collected within the 2500 deg2 South Pole Telescope (SPT) Sunyaev-Zel'dovich (SZ) survey. The SPT follow-up data, calibrating the richness-mass relation of the optically selected redMaPPer catalog, enable the cosmological exploitation of the DES cluster abundance data. To explore possible systematics related to the modeling of projection effects, we consider two calibrations of the observational scatter on richness estimates: a simple Gaussian model which account only for the background contamination (BKG), and a model which further includes contamination and incompleteness due to projection effects (PRJ). Assuming either a ΛCDM+mν or wCDM+mν cosmology, and for both scatter models, we derive cosmological constraints consistent with multiple cosmological probes of the low and high redshift Universe, and in particular with the SPT cluster abundance data. This result demonstrates that the DES Y1 and SPT cluster counts provide consistent cosmological constraints, if the same mass calibration data set is adopted. It thus supports the conclusion of the DES Y1 cluster cosmology analysis which interprets the tension observed with other cosmological probes in terms of systematics affecting the stacked weak lensing analysis of optically selected low-richness clusters. Finally, we analyze the first combined optically SZ selected cluster catalog obtained by including the SPT sample above the maximum redshift probed by the DES Y1 redMaPPer sample (z=0.65). Besides providing a mild improvement of the cosmological constraints, this data combination serves as a stricter test of our scatter models: the PRJ model, providing scaling relations consistent between the two abundance and multiwavelength follow-up data, is favored over the BKG model., Funding for the DES Projects has been provided by the U.S. Department of Energy, the U.S. National Science Foundation, the Ministry of Science and Education of Spain, the Science and Technology Facilities Council of the United Kingdom, the Higher Education Funding Council for England, the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign, the Kavli Institute of Cosmological Physics at the University of Chicago, the Center for Cosmology and Astro-Particle Physics at the Ohio State University, the Mitchell Institute for Fundamental Physics and Astronomy at Texas A&M University, Financiadora de Estudos e Projetos, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro, Conselho Nacional de Desenvolvimento Científico e Tecnológico and the Ministério da Ciência, Tecnologia e Inovação, the Deutsche Forschungsgemeinschaft and the Collaborating Institutions in the Dark Energy Survey. The Collaborating Institutions are Argonne National Laboratory, the University of California at Santa Cruz, the University of Cambridge, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas-Madrid, the University of Chicago, University College London, the DES-Brazil Consortium, the University of Edinburgh, the Eidgenössische Technische Hochschule (ETH) Zürich, Fermi National Accelerator Laboratory, the University of Illinois at Urbana-Champaign, the Institut de Ciències de l’Espai (IEEC/CSIC), the Institut de Física d’Altes Energies, Lawrence Berkeley National Laboratory, the Ludwig-Maximilians Universität München and the associated Excellence Cluster Universe, the University of Michigan, National Science Fundation’s NOIRLab, the University of Nottingham, The Ohio State University, the University of Pennsylvania, the University of Portsmouth, SLAC National Accelerator Laboratory, Stanford University, the University of Sussex, Texas A&M University, and the Australian (aka “Oz”) Dark Energy Survey Membership Consortium.Based in part on observations at Cerro Tololo Inter-American Observatory at NSF’s NOIRLab (NOIRLab Prop. ID 2012B-0001; PI: J. Frieman), which is managed by the Association of Universities for Research in Astronomy (AURA) under a cooperative agreement with the National Science Foundation. The DES data management system is supported by the National Science Foundation under Grants No. AST-1138766 and No. AST-1536171. The DES participants from Spanish institutions are partially supported by MICINN under Grants No. ESP2017-89838, No. PGC2018-094773, No. PGC2018-102021, No. SEV-2016-0588, No. SEV-2016-0597, and No. MDM-2015-0509, some of which include ERDF funds from the European Union. I. F. A. E. is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Program (FP7/2007-2013) including ERC Grants Agreements No. 240672, No. 291329, and No. 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciência e Tecnologia (INCT) do e-Universo (CNPq Grant No. 465376/2014-2). This manuscript has been authored by Fermi Research Alliance, LLC under Contract No. DE-AC02-07CH11359 with the U.S. Department of Energy, Office of Science, Office of High Energy Physics. This paper has gone through internal review by the DES Collaboration. M. C. and A. S. are supported by the ERC-StG ’ClustersXCosmo’ Grant Agreement No. 716762. A. S. is supported by the FARE-MIUR Grant
Published: 2021

37. The mass and galaxy distribution around SZ-selected clusters

Author: Edward J. Wollack, S. Goldstein, Erin S. Sheldon, Jochen Weller, L. N. da Costa, J. Elvin-Poole, Suzanne T. Staggs, Simone Ferraro, Marco Raveri, Mark J. Devlin, J. P. Dietrich, Sahar S. Allam, T. N. Varga, David Brooks, S. Pandey, M. Lokken, Brian Yanny, Maria E. S. Pereira, A. Amsellem, J. DeRose, Maria Salatino, J. McCullough, M. E. C. Swanson, M. Costanzi, C. Doux, Chun-Hao To, Cristóbal Sifón, E. J. Sanchez, Joseph J. Mohr, I. Tutusaus, I. Sevilla-Noarbe, Gary Bernstein, B. Partridge, John P. Hughes, Carlos Solans Sanchez, G. Tarle, Scott Dodelson, Chihway Chang, V. Scarpine, Keith Bechtol, Ian Harrison, Enrique Gaztanaga, B. Flaugher, Peter Doel, Nick Battaglia, Alex Drlica-Wagner, J. Myles, David J. James, N. P. Kuropatkin, H. T. Diehl, David Bacon, Kavilan Moodley, Niall MacCrann, T. M. C. Abbott, David H. Weinberg, Kyler Kuehn, M. Gatti, J. Prat, Adriano Pieres, Samuel Hinton, Bhuvnesh Jain, K. Eckert, J. De Vicente, T. Dacunha, Marcelle Soares-Santos, E. Suchyta, E. J. Baxter, D. Gruen, A. Carnero Rosell, J. Carretero, Matt Hilton, M. Belyakov, Michael Troxel, J. C. Hill, F. Paz-Chinchón, A. Alarcon, Richard P. Rollins, Antonio Campos, Ramon Miquel, S. Desai, Federico Nati, Michael D. Niemack, Sebastian Bocquet, M. Smith, M. Aguena, A. K. Romer, Daniel Thomas, E. Buckley-Geer, L. A. Page, Emmanuel Bertin, Antonella Palmese, Andrés N. Salcedo, Jeff McMahon, Agnès Ferté, Blake D. Sherwin, M. A. G. Maia, D. W. Gerdes, Ofer Lahav, I. Ferrero, Mathew S. Madhavacheril, Robert Morgan, M. Rodriguez-Monroy, Yanxi Zhang, A. A. Plazas Malagón, Andrey V. Kravtsov, S. Everett, Marco A. P. Lima, S. Adhikari, Patricio A. Gallardo, Matthew R. Becker, Basilio X. Santiago, D. L. Burke, J. Frieman, J. R. Bond, Robert A. Gruendl, M. Carrasco Kind, F. Andrade-Oliveira, Tesla E. Jeltema, Ricardo L. C. Ogando, M. Jarvis, R. Chen, Ami Choi, Elisabeth Krause, Peter Melchior, Eli S. Rykoff, Eve M. Vavagiakis, G. Gutierrez, A. Navarro-Alsina, Santiago Serrano, B. Yin, Alexandra Amon, Felipe Menanteau, James Annis, Brian J. Koopman, L. F. Secco, W. G. Hartley, Alessandro Schillaci, Devon L. Hollowood, T. Shin, University of Pennsylvania, University of Chicago, University of Hawaii, The Ohio State University, Cornell University, Max Planck Institute for Extraterrestrial Physics, Ludwig-Maximilians-Universität, NSF’s National Optical-Infrared Astronomy Research Laboratory, Universidade de São Paulo (USP), Laboratório Interinstitucional de e-Astronomia – LIneA, Argonne National Laboratory, Fermi National Accelerator Laboratory, Stanford University, Universidade Estadual Paulista (UNESP), University of Portsmouth, University of Wisconsin-Madison, Institut d’Astrophysique de Paris, University of Toronto, University College London, Carnegie Mellon University, Duke University, Instituto de Astrofisica de Canarias, Dpto. Astrofísica, National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, The Barcelona Institute of Science and Technology, Lawrence Berkeley National Laboratory, University of Trieste, INAF-Osservatorio Astronomico di Trieste, Institute for Fundamental Physics of the Universe, Observatório Nacional, IIT Hyderabad, Medioambientales y Tecnológicas (CIEMAT), Santa Cruz Institute for Particle Physics, University of Oslo, California Institute of Technology, Institut d’Estudis Espacials de Catalunya (IEEC), CSIC), University of Michigan, SLAC National Accelerator Laboratory, Denys Wilkinson Building, University of Manchester, University of Geneva, Columbia University, Flatiron Institute, Westville Campus, University of Queensland, The State University of New Jersey, Center for Astrophysics | Harvard & Smithsonian, Yale University, University of Arizona, Macquarie University, Lowell Observatory, Dunlap Institute of Astronomy & Astrophysics, University of Cambridge, Perimeter Institute for Theoretical Physics, Peyton Hall, Institució Catalana de Recerca i Estudis Avançats, University of Milano-Bicocca, Universidade Estadual de Campinas (UNICAMP), Princeton University, Haverford College, University of Sussex, UFRGS, Brookhaven National Laboratory, Pontificia Universidad Católica de Valparaíso, University of Southampton, Oak Ridge National Laboratory, NASA/Goddard Space Flight Center, Shin, T, Jain, B, Adhikari, S, Baxter, E, Chang, C, Pandey, S, Salcedo, A, Weinberg, D, Amsellem, A, Battaglia, N, Belyakov, M, Dacunha, T, Goldstein, S, Kravtsov, A, Varga, T, Abbott, T, Aguena, M, Alarcon, A, Allam, S, Amon, A, Andrade-Oliveira, F, Annis, J, Bacon, D, Bechtol, K, Becker, M, Bernstein, G, Bertin, E, Bocquet, S, Bond, J, Brooks, D, Buckley-Geer, E, Burke, D, Campos, A, Carnero Rosell, A, Carrasco Kind, M, Carretero, J, Chen, R, Choi, A, Costanzi, M, da Costa, L, Derose, J, Desai, S, de Vicente, J, Devlin, M, Diehl, H, Dietrich, J, Dodelson, S, Doel, P, Doux, C, Drlica-Wagner, A, Eckert, K, Elvin-Poole, J, Everett, S, Ferraro, S, Ferrero, I, Ferte, A, Flaugher, B, Frieman, J, Gallardo, P, Gatti, M, Gaztanaga, E, Gerdes, D, Gruen, D, Gruendl, R, Gutierrez, G, Harrison, I, Hartley, W, Hill, J, Hilton, M, Hinton, S, Hollowood, D, Hughes, J, James, D, Jarvis, M, Jeltema, T, Koopman, B, Krause, E, Kuehn, K, Kuropatkin, N, Lahav, O, Lima, M, Lokken, M, Maccrann, N, Madhavacheril, M, Maia, M, Mccullough, J, Mcmahon, J, Melchior, P, Menanteau, F, Miquel, R, Mohr, J, Moodley, K, Morgan, R, Myles, J, Nati, F, Navarro-Alsina, A, Niemack, M, Ogando, R, Page, L, Palmese, A, Partridge, B, Paz-Chinchon, F, Pereira, M, Pieres, A, Plazas Malagon, A, Prat, J, Raveri, M, Rodriguez-Monroy, M, Rollins, R, Romer, A, Rykoff, E, Salatino, M, Sanchez, C, Sanchez, E, Santiago, B, Scarpine, V, Schillaci, A, Secco, L, Serrano, S, Sevilla-Noarbe, I, Sheldon, E, Sherwin, B, Sifon, C, Smith, M, Soares-Santos, M, Staggs, S, Suchyta, E, Swanson, M, Tarle, G, Thomas, D, To, C, Troxel, M, Tutusaus, I, Vavagiakis, E, Weller, J, Wollack, E, Yanny, B, Yin, B, Zhang, Y, National Science Foundation (US), Ministerio de Ciencia, Innovación y Universidades (España), Generalitat de Catalunya, European Commission, Instituto Nacional de Ciência e Tecnologia (Brasil), Univ Penn, Univ Chicago, Univ Hawaii, Ohio State Univ, Cornell Univ, Max Planck Inst Extraterr Phys, Ludwig Maximilians Univ Munchen, NSFs Natl Opt Infrared Astron Res Lab, Lab Interinst E Astron LIneA, Argonne Natl Lab, Fermilab Natl Accelerator Lab, Stanford Univ, Univ Portsmouth, Univ Wisconsin, Inst Astrophys Paris, Sorbonne Univ, Univ Toronto, UCL, Carnegie Mellon Univ, Duke Univ, Inst Astrofis Canarias, Univ La Laguna, Natl Ctr Supercomp Applicat, Univ Illinois, Barcelona Inst Sci & Technol, Lawrence Berkeley Natl Lab, Univ Trieste, INAF Osservatorio Astron Trieste, Inst Fundamental Phys Universe, Observ Nacl, Ctr Invest Energet Medioambientales & Tecnol CIEM, Santa Cruz Inst Particle Phys, Univ Oslo, CALTECH, Inst Estudis Espacials Catalunya IEEC, CSIC, Univ Michigan, SLAC Natl Accelerator Lab, Univ Oxford, Univ Manchester, Univ Geneva, Columbia Univ, Flatiron Inst, Univ KwaZulu Natal, Univ Queensland, Rutgers State Univ, Ctr Astrophys Harvard & Smithsonian, Yale Univ, Univ Arizona, Macquarie Univ, Lowell Observ, Dunlap Inst Astron & Astrophys, Univ Cambridge, Perimeter Inst Theoret Phys, Princeton Univ, Inst Catalana Recerca & Estudis Avancats, Univ Milano Bicocca, Haverford Coll, Univ Sussex, Univ Fed Rio Grande do Sul, Brookhaven Natl Lab, Pontificia Univ Catolica Valparaiso, Univ Southampton, Oak Ridge Natl Lab, NASA, Shin, T., Jain, B., Adhikari, S., Baxter, E. J., Chang, C., Pandey, S., Salcedo, A., Weinberg, D. H., Amsellem, A., Battaglia, N., Belyakov, M., Dacunha, T., Goldstein, S., Kravtsov, A. V., Varga, T. N., Abbott, T. M. C., Aguena, M., Alarcon, A., Allam, S., Amon, A., Andrade-Oliveira, F., Annis, J., Bacon, D., Bechtol, K., Becker, M. R., Bernstein, G. M., Bertin, E., Bocquet, S., Bond, J. R., Brooks, D., Buckley-Geer, E., Burke, D. L., Campos, A., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Chen, R., Choi, A., Costanzi, M., da Costa, L. N., Derose, J., Desai, S., de Vicente, J., Devlin, M. J., Diehl, H. T., Dietrich, J. P., Dodelson, S., Doel, P., Doux, C., Drlica-Wagner, A., Eckert, K., Elvin-Poole, J., Everett, S., Ferraro, S., Ferrero, I., Ferte, A., Flaugher, B., Frieman, J., Gallardo, P. A., Gatti, M., Gaztanaga, E., Gerdes, D. W., Gruen, D., Gruendl, R. A., Gutierrez, G., Harrison, I., Hartley, W. G., Hill, J. C., Hilton, M., Hinton, S. R., Hollowood, D. L., Hughes, J. P., James, D. J., Jarvis, M., Jeltema, T., Koopman, B. J., Krause, E., Kuehn, K., Kuropatkin, N., Lahav, O., Lima, M., Lokken, M., Maccrann, N., Madhavacheril, M. S., Maia, M. A. G., Mccullough, J., Mcmahon, J., Melchior, P., Menanteau, F., Miquel, R., Mohr, J. J., Moodley, K., Morgan, R., Myles, J., Nati, F., Navarro-Alsina, A., Niemack, M. D., Ogando, R. L. C., Page, L. A., Palmese, A., Partridge, B., Paz-Chinchon, F., Pereira, M. E. S., Pieres, A., Plazas Malagon, A. A., Prat, J., Raveri, M., Rodriguez-Monroy, M., Rollins, R. P., Romer, A. K., Rykoff, E. S., Salatino, M., Sanchez, C., Sanchez, E., Santiago, B., Scarpine, V., Schillaci, A., Secco, L. F., Serrano, S., Sevilla-Noarbe, I., Sheldon, E., Sherwin, B. D., Sifon, C., Smith, M., Soares-Santos, M., Staggs, S. T., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Troxel, M. A., Tutusaus, I., Vavagiakis, E. M., Weller, J., Wollack, E. J., Yanny, B., Yin, B., and Zhang, Y.
Subjects: Cold dark matter, Cosmology and Nongalactic Astrophysics (astro-ph.CO), FOS: Physical sciences, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, clusters: general [Galaxies], Cosmology: observation, Cosmology, Galaxies clusters general, observations [Cosmology], Weak gravitational lensing, Astrophysics::Galaxy Astrophysics, Cosmology observation, Physics, Cosmology: observations, Galaxies: evolution, Astronomy and Astrophysics, evolution [Galaxies], Cosmology observations, Galaxies evolution, Galaxy, Redshift, Galaxies: clusters: general, Space and Planetary Science, Atacama Cosmology Telescope, Dark energy, Halo, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Shin, T., et al., We present measurements of the radial profiles of the mass and galaxy number density around Sunyaev–Zel’dovich (SZ)-selected clusters using both weak lensing and galaxy counts. The clusters are selected from the Atacama Cosmology Telescope Data Release 5 and the galaxies from the Dark Energy Survey Year 3 data set. With signal-to-noise ratio of 62 (45) for galaxy (weak lensing) profiles over scales of about 0.2–20 h Mpc, these are the highest precision measurements for SZ-selected clusters to date. Because SZ selection closely approximates mass selection, these measurements enable several tests of theoretical models of the mass and light distribution around clusters. Our main findings are: (1) The splashback feature is detected at a consistent location in both the mass and galaxy profiles and its location is consistent with predictions of cold dark matter N-body simulations. (2) The full mass profile is also consistent with the simulations. (3) The shapes of the galaxy and lensing profiles are remarkably similar for our sample over the entire range of scales, from well inside the cluster halo to the quasilinear regime. We measure the dependence of the profile shapes on the galaxy sample, redshift, and cluster mass. We extend the Diemer & Kravtsov model for the cluster profiles to the linear regime using perturbation theory and show that it provides a good match to the measured profiles. We also compare the measured profiles to predictions of the standard halo model and simulations that include hydrodynamics. Applications of these results to cluster mass estimation, cosmology, and astrophysics are discussed., The DES data management system is supported by the National Science Foundation under Grant Numbers AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MICINN under grants ESP2017-89838, PGC2018-094773, PGC2018-102021, SEV-2016-0588, SEV-2016-0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Program (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciência e Tecnologia (INCT) do e-Universo (CNPq grant no. 465376/2014-2).
Published: 2021

38. Consistency of cosmic shear analyses in harmonic and real space

Author: David Bacon, Niall MacCrann, J. Carretero, Tamara M. Davis, Xiao Fang, Ramon Miquel, Joe Zuntz, F. Paz-Chinchón, Agnès Ferté, Dragan Huterer, Ami Choi, W. G. Hartley, A. A. Plazas, Martin Crocce, R. D. Wilkinson, J. P. Dietrich, Juan Garcia-Bellido, Antonella Palmese, S. Samuroff, I. Ferrero, M. A. G. Maia, E. Bertin, David J. James, Pablo Fosalba, Michael Schubnell, J. Gschwend, Jennifer L. Marshall, Jonathan Blazek, A. Roodman, Bhuvnesh Jain, Elisabeth Krause, Maria E. S. Pereira, Santiago Avila, Chihway Chang, G. Tarle, H. Camacho, L. F. Secco, Robert Morgan, A. Carnero Rosell, M. Costanzi, Jochen Weller, C. Doux, Chun-Hao To, E. J. Sanchez, D. L. Burke, Enrique Gaztanaga, S. Allam, Robert A. Gruendl, M. Carrasco Kind, Alexandra Amon, I. Sevilla-Noarbe, M. Soares-Santos, N. Kuropatkin, T. N. Varga, Felipe Menanteau, L. N. da Costa, M. Smith, Daniel Gruen, D. W. Gerdes, Kyler Kuehn, Michel Aguena, E. Suchyta, Michael Troxel, D. L. Hollowood, S. Serrano, David J. Brooks, Samuel Hinton, G. Gutierrez, M. Gatti, Peter Doel, UAM. Departamento de Física Teórica, Doux, C., Chang, C., Jain, B., Blazek, J., Camacho, H., Fang, X., Gatti, M., Krause, E., Maccrann, N., Samuroff, S., Secco, L. F., Troxel, M. A., Zuntz, J., Aguena, M., Allam, S., Amon, A., Avila, S., Bacon, D., Bertin, E., Brooks, D., Burke, D. L., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Choi, A., Costanzi, M., Crocce, M., da Costa, L. N., Pereira, M. E. S., Davis, T. M., Dietrich, J. P., Doel, P., Ferrero, I., Ferté, A., Fosalba, P., García-Bellido, J., Gaztanaga, E., Gerdes, D. W., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hartley, W. G., Hinton, S. R., Hollowood, D. L., Huterer, D., James, D. J., Kuehn, K., Kuropatkin, N., Maia, M. A. G., Marshall, J. L., Menanteau, F., Miquel, R., Morgan, R., Palmese, A., Paz-Chinchón, F., Plazas, A. A., Roodman, A., Sanchez, E., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Tarle, G., To, C., Varga, T. N., Weller, J., Wilkinson, R. D., Des, Collaboration, Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), DES, Univ Penn, Univ Chicago, Ohio State Univ, Ecole Polytech Fed Lausanne EPFL, Universidade Estadual Paulista (Unesp), Lab Interinst E Astron LIneA, Univ Arizona, Barcelona Inst Sci & Technol, Univ Cambridge, Carnegie Mellon Univ, Duke Univ, Univ Edinburgh, Universidade de São Paulo (USP), Fermilab Natl Accelerator Lab, Stanford Univ, Univ Autonoma Madrid, Univ Portsmouth, CNRS, Sorbonne Univ, UCL, SLAC Natl Accelerator Lab, Inst Astrofis Canarias, Univ La Laguna, Natl Ctr Supercomp Applicat, Univ Illinois, Univ Trieste, INAF Osservatorio Astron Trieste, Inst Fundamental Phys Universe, Inst Estudis Espacials Catalunya IEEC, CSIC, Observ Nacl, Univ Michigan, Univ Queensland, Ludwig Maximilians Univ Munchen, Univ Oslo, CALTECH, Univ Geneva, Santa Cruz Inst Particle Phys, Ctr Astrophys Harvard & Smithsonian, Macquarie Univ, Lowell Observ, Texas A&M Univ, Inst Catalana Recerca & Estudis Avancats, Univ Wisconsin, Princeton Univ, Ctr Invest Energet Medioambientales & Tecnol CIEM, Univ Southampton, Oak Ridge Natl Lab, Max Planck Inst Extraterr Phys, and Univ Sussex
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO), Gaussian, design, FOS: Physical sciences, gravitational lensing: weak, cosmological parameters, large-scale structure of Universe, Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, Statistical fluctuations, 01 natural sciences, symbols.namesake, weak [gravitational lensing], 0103 physical sciences, Statistical physics, Weak, 010303 astronomy & astrophysics, Physics, large-scale structure of universe, Gravitational Lensing, COSMIC cancer database, model, 010308 nuclear & particles physics, Sigma, Spectral density, Física, Astronomy and Astrophysics, Dark Energy, Redshift, Space and Planetary Science, symbols, Dark energy, cosmological parameter, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], constraints, Importance sampling, intrinsic alignments
Abstract: Recent cosmic shear studies have reported discrepancies of up to $1\sigma$ on the parameter ${S_{8}=\sigma_{8}\sqrt{\Omega_{\rm m}/0.3}}$ between the analysis of shear power spectra and two-point correlation functions, derived from the same shear catalogs. It is not a priori clear whether the measured discrepancies are consistent with statistical fluctuations. In this paper, we investigate this issue in the context of the forthcoming analyses from the third year data of the Dark Energy Survey (DES-Y3). We analyze DES-Y3 mock catalogs from Gaussian simulations with a fast and accurate importance sampling pipeline. We show that the methodology for determining matching scale cuts in harmonic and real space is the key factor that contributes to the scatter between constraints derived from the two statistics. We compare the published scales cuts of the KiDS, Subaru-HSC and DES surveys, and find that the correlation coefficients of posterior means range from over 80% for our proposed cuts, down to 10% for cuts used in the literature. We then study the interaction between scale cuts and systematic uncertainties arising from multiple sources: non-linear power spectrum, baryonic feedback, intrinsic alignments, uncertainties in the point-spread function, and redshift distributions. We find that, given DES-Y3 characteristics and proposed cuts, these uncertainties affect the two statistics similarly; the differential biases are below a third of the statistical uncertainty, with the largest biases arising from intrinsic alignment and baryonic feedback. While this work is aimed at DES-Y3, the tools developed can be applied to Stage-IV surveys where statistical errors will be much smaller., Comment: Matches version accepted in MNRAS. 22 pages, 15 figures. Comments welcome!
Published: 2021

39. A machine learning approach to galaxy properties: Joint redshift-stellar mass probability distributions with Random Forest

Author: A. A. Plazas, L. N. Da Costa, W. G. Hartley, Maria E. S. Pereira, Brian Yanny, Marcos Lima, Alex Drlica-Wagner, J. Carretero, Antonella Palmese, E. M. Huff, Juan Garcia-Bellido, Ramon Miquel, M. A. G. Maia, Michel Aguena, V. Scarpine, A. Choi, Martin Crocce, F. J. Castander, G. Tarle, R. D. Wilkinson, Ian Harrison, S. Mucesh, K. Honscheid, Sunayana Bhargava, A. Alarcon, J. De Vicente, David J. James, Huan Lin, Pablo Fosalba, M. Carrasco Kind, Chun-Hao To, Alexandra Amon, E. J. Sanchez, F. Paz-Chinchón, Keith Bechtol, E. Suchyta, August E. Evrard, M. Costanzi, M. Smith, Felipe Menanteau, Josh Frieman, D. L. Hollowood, S. Allam, Robert A. Gruendl, S. Serrano, Ofer Lahav, Daniel Gruen, Samuel Hinton, Peter Melchior, Christopher J. Conselice, Erin Sheldon, B. Flaugher, E. Bertin, G. Gutierrez, David J. Brooks, S. Desai, Enrique Gaztanaga, Robert Morgan, J. Gschwend, S. Everett, D. W. Gerdes, Gary Bernstein, I. Ferrero, H. T. Diehl, David Bacon, I. Sevilla-Noarbe, N. Kuropatkin, K. D. Eckert, T. N. Varga, Asa F. L. Bluck, Kyler Kuehn, Michael Schubnell, Daniel Thomas, L. Whiteway, A. Carnero Rosell, National Science Foundation (US), Ministerio de Ciencia, Innovación y Universidades (España), Generalitat de Catalunya, European Commission, Instituto Nacional de Ciência e Tecnologia (Brasil), Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), DES, Mucesh, S., Hartley, W. G., Palmese, A., Lahav, O., Whiteway, L., Amon, A., Bechtol, K., Bernstein, G. M., Carnero Rosell, A., Carrasco Kind, M., Choi, A., Eckert, K., Everett, S., Gruen, D., Gruendl, R. A., Harrison, I., Huff, E. M., Kuropatkin, N., Sevilla-Noarbe, I., Sheldon, E., Yanny, B., Aguena, M., Allam, S., Bacon, D., Bertin, E., Bhargava, S., Brooks, D., Carretero, J., Castander, F. J., Conselice, C., Costanzi, M., Crocce, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Drlica-Wagner, A., Evrard, A. E., Ferrero, I., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Gerdes, D. W., Gschwend, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Lima, M., Lin, H., Maia, M. A. G., Melchior, P., Menanteau, F., Miquel, R., Morgan, R., Paz-Chinchón, F., Plazas, A. A., Sanchez, E., Scarpine, V., Schubnell, M., Serrano, S., Smith, M., Suchyta, E., Tarle, G., Thomas, D., To, C., Varga, T. N., and Wilkinson, R. D.
Subjects: FOS: Computer and information sciences, Computer Science - Machine Learning, statistical [Methods], software: data analysis, computer.software_genre, 01 natural sciences, data analysi [software], Copula (probability theory), Machine Learning (cs.LG), Astrophysics - Cosmology and Nongalactic Astrophysic, data analysis [Methods], 010303 astronomy & astrophysics, Physics, fundamental parameter [galaxies], galaxies: fundamental parameters, Random forest, Software: public realese, fundamental parameters [Galaxies], Probability distribution, galaxies: evolution, Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Cosmology and Nongalactic Astrophysics, public realese [Software], Cosmology and Nongalactic Astrophysics (astro-ph.CO), methods: data analysis, methods: statistical, software: public release, Astrophysics - Astrophysics of Galaxies, FOS: Physical sciences, Astrophysics::Cosmology and Extragalactic Astrophysics, Machine learning, Astrophysics - Astrophysics of Galaxie, 0103 physical sciences, Galaxy formation and evolution, [INFO]Computer Science [cs], [PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det], Probability integral transform, Instrumentation and Methods for Astrophysics (astro-ph.IM), 010308 nuclear & particles physics, business.industry, Univariate, Astronomy and Astrophysics, evolution [Galaxies], public release [software], Redshift, Galaxy, Space and Planetary Science, data analysis [Software], Astrophysics of Galaxies (astro-ph.GA), data analysi [methods], Artificial intelligence, Astrophysics - Instrumentation and Methods for Astrophysic, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], business, computer
Abstract: We demonstrate that highly accurate joint redshift-stellar mass probability distribution functions (PDFs) can be obtained using the Random Forest (RF) machine learning (ML) algorithm, even with few photometric bands available. As an example, we use the Dark Energy Survey (DES), combined with the COSMOS2015 catalogue for redshifts and stellar masses. We build two ML models: one containing deep photometry in the $griz$ bands, and the second reflecting the photometric scatter present in the main DES survey, with carefully constructed representative training data in each case. We validate our joint PDFs for $10,699$ test galaxies by utilizing the copula probability integral transform and the Kendall distribution function, and their univariate counterparts to validate the marginals. Benchmarked against a basic set-up of the template-fitting code BAGPIPES, our ML-based method outperforms template fitting on all of our predefined performance metrics. In addition to accuracy, the RF is extremely fast, able to compute joint PDFs for a million galaxies in just under $6$ min with consumer computer hardware. Such speed enables PDFs to be derived in real time within analysis codes, solving potential storage issues. As part of this work we have developed GALPRO, a highly intuitive and efficient Python package to rapidly generate multivariate PDFs on-the-fly. GALPRO is documented and available for researchers to use in their cosmology and galaxy evolution studies., Comment: 18 pages, 8 figures, Accepted by MNRAS
Published: 2021

40. Dark energy survey internal consistency tests of the joint cosmological probes analysis with posterior predictive distributions

Author: R. L. C. Ogando, J. DeRose, E. Suchyta, M. Smith, G. Tarle, Daniel Gruen, Youngsoo Park, D. W. Gerdes, S. Samuroff, T. N. Varga, R. Cawthon, David J. Brooks, J. Gschwend, Sunayana Bhargava, Michael Schubnell, K. Honscheid, Samuel Hinton, W. G. Hartley, Marcos Lima, J. P. Dietrich, G. Gutierrez, Ofer Lahav, Juan Garcia-Bellido, C. Lidman, Alexandra Amon, J. Carretero, Ramon Miquel, Peter Doel, M. Costanzi, Dragan Huterer, M. Carrasco Kind, Robert Morgan, J. Frieman, H. T. Diehl, David Bacon, Felipe Menanteau, E. Baxter, F. Paz-Chinchón, I. Ferrero, Matt J. Jarvis, J. Annis, Marco Raveri, Elisabeth Krause, M. Gatti, David J. James, Niall MacCrann, J. Muir, Tommaso Giannantonio, D. L. Burke, Pablo Fosalba, Ami Choi, Ben Hoyle, E. Bertin, A. A. Plazas, I. Sevilla-Noarbe, Bhuvnesh Jain, S. Allam, Robert A. Gruendl, V. Scarpine, Antonella Palmese, N. Kuropatkin, D. L. Hollowood, M. A. G. Maia, S. Serrano, A. Alarcon, A. Campos, E. M. Huff, L. N. da Costa, P. Lemos, Michel Aguena, R. D. Wilkinson, S. Everett, Maria E. S. Pereira, J. Prat, M. E. C. Swanson, Jochen Weller, T. M. C. Abbott, C. Doux, Chun-Hao To, Markus Rau, E. J. Sanchez, Santiago Avila, Chihway Chang, Michael Troxel, S. Desai, Joe Zuntz, Douglas L. Tucker, Kyler Kuehn, National Science Foundation (US), Ministerio de Economía y Competitividad (España), Ministerio de Ciencia, Innovación y Universidades (España), European Commission, Generalitat de Catalunya, Instituto Nacional de Ciência e Tecnologia (Brasil), Fermilab, Doux, C., Baxter, E., Lemos, P., Chang, C., Alarcon, A., Amon, A., Campos, A., Choi, A., Gatti, M., Gruen, D., Jarvis, M., Maccrann, N., Park, Y., Prat, J., Rau, M. M., Raveri, M., Samuroff, S., Derose, J., Hartley, W. G., Hoyle, B., Troxel, M. A., Zuntz, J., Abbott, T. M. C., Aguena, M., Allam, S., Annis, J., Avila, S., Bacon, D., Bertin, E., Bhargava, S., Brooks, D., Burke, D. L., Carrasco Kind, M., Carretero, J., Cawthon, R., Costanzi, M., da Costa, L. N., Pereira, M. E. S., Desai, S., Diehl, H. T., Dietrich, J. P., Doel, P., Everett, S., Ferrero, I., Fosalba, P., Frieman, J., García-Bellido, J., Gerdes, D. W., Giannantonio, T., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huff, E. M., Huterer, D., Jain, B., James, D. J., Krause, E., Kuehn, K., Kuropatkin, N., Lahav, O., Lidman, C., Lima, M., Maia, M. A. G., Menanteau, F., Miquel, R., Morgan, R., Muir, J., Ogando, R. L. C., Palmese, A., Paz-Chinchón, F., Plazas, A. A., Sanchez, E., Scarpine, V., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Tucker, D. L., Varga, T. N., Weller, J., Wilkinson, R. D., Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), and DES
Subjects: statistical [Methods], Cosmology and Nongalactic Astrophysics (astro-ph.CO), Large-scale structure of Universe, FOS: Physical sciences, Dark energy, Gravitational lensing: weak, Methods: statistical, gravitational lensing: weak, methods: statistical, dark energy, large-scale structure of Universe, Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics, 01 natural sciences, Data vector, Goodness of fit, Consistency (statistics), Internal consistency, 0103 physical sciences, Statistics, Astrophysics - Cosmology and Nongalactic Astrophysic, [PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det], 010303 astronomy & astrophysics, Joint (geology), Instrumentation and Methods for Astrophysics (astro-ph.IM), Physics, 010308 nuclear & particles physics, Astronomy and Astrophysics, Data set, Posterior predictive distribution, Space and Planetary Science, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], weak [Gravitational lensing]
Abstract: Doux, C., et al. DES Collaboration, Beyond ΛCDM, physics or systematic errors may cause subsets of a cosmological data set to appear inconsistent when analysed assuming ΛCDM. We present an application of internal consistency tests to measurements from the Dark Energy Survey Year 1 (DES Y1) joint probes analysis. Our analysis relies on computing the posterior predictive distribution (PPD) for these data under the assumption of ΛCDM. We find that the DES Y1 data have an acceptable goodness of fit to ΛCDM, with a probability of finding a worse fit by random chance of p = 0.046. Using numerical PPD tests, supplemented by graphical checks, we show that most of the data vector appears completely consistent with expectations, although we observe a small tension between large- and small-scale measurements. A small part (roughly 1.5 per cent) of the data vector shows an unusually large departure from expectations; excluding this part of the data has negligible impact on cosmological constraints, but does significantly improve the p-value to 0.10. The methodology developed here will be applied to test the consistency of DES Year 3 joint probes data sets., Based, in part, on observations at Cerro Tololo Inter-American Observatory at NSF’s NOIRLab (NOIRLab Prop. ID 2012B-0001; PI: J. Frieman), which is managed by the Association of Universities for Research in Astronomy (AURA) under a cooperative agreement with the National Science Foundation. The DES data management system is supported by the National Science Foundation under grant numbers AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MICINN under grants ESP2017-89838, PGC2018-094773, PGC2018-102021, SEV-2016-0588, SEV-2016-0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Program (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciência e Tecnologia (INCT) do e-Universo (CNPq grant 465376/2014-2). This manuscript has been authored by Fermi Research Alliance, LLC under contract no. DE-AC02-07CH11359 with the U.S. Department of Energy, Office of Science, Office of High Energy Physics.
Published: 2021

41. Rates and delay times of Type Ia supernovae in the Dark Energy Survey

Author: Geraint F. Lewis, A. R. Walker, A. A. Plazas Malagón, J. Annis, Brodie Popovic, M. E. C. Swanson, Enrique Gaztanaga, Josh Frieman, G. Tarle, Anais Möller, E. Bertin, Samuel Hinton, C. Lidman, B. E. Tucker, G. Gutierrez, Jennifer L. Marshall, B. Flaugher, R. L. C. Ogando, V. Scarpine, Daniel Scolnic, M. Carrasco Kind, F. Andrade-Oliveira, Robert C. Nichol, D. J. Brout, Daniel Thomas, J. Gschwend, Kyler Kuehn, Daniela Carollo, K. Honscheid, J. Carretero, David J. James, Tamara M. Davis, Ramon Miquel, Maria E. S. Pereira, M. Costanzi, Pablo Fosalba, Juan Garcia-Bellido, Peter Doel, E. Buckley-Geer, I. Ferrero, I. Sevilla-Noarbe, Karl Glazebrook, H. T. Diehl, Felipe Menanteau, David Bacon, Benjamin Rose, M. Soares-Santos, Chris Frohmaier, M. Vincenzi, N. Kuropatkin, Robert Morgan, Mark Sullivan, A. K. Romer, Elisabeth Krause, T. N. Varga, Tommaso Giannantonio, L. N. da Costa, M. Toy, Paul Martini, A. Carnero Rosell, O. Graur, D. L. Burke, P. Wiseman, S. Allam, Robert A. Gruendl, Michael Schubnell, S. Everett, David J. Brooks, D. L. Hollowood, Adriano Pieres, S. Serrano, Richard Kessler, Michel Aguena, M. Smith, Daniel Gruen, E. Suchyta, Zoe Zontou, F. Paz-Chinchón, Lluís Galbany, L. Kelsey, P. Armstrong, Don Petravick, S. Desai, Jacobo Asorey, Antonella Palmese, M. A. G. Maia, T. M. C. Abbott, Chun-Hao To, E. J. Sanchez, Ben Hoyle, Institut de Physique des 2 Infinis de Lyon (IP2I Lyon), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique de Clermont (LPC), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA), Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), DES, National Science Foundation (US), Ministerio de Ciencia, Innovación y Universidades (España), Ministerio de Economía y Competitividad (España), Generalitat de Catalunya, European Commission, Instituto Nacional de Ciência e Tecnologia (Brasil), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Wiseman, P., Sullivan, M., Smith, M., Frohmaier, C., Vincenzi, M., Graur, O., Popovic, B., Armstrong, P., Brout, D., Davis, T. M., Galbany, L., Hinton, S. R., Kelsey, L., Kessler, R., Lidman, C., Möller, A., Nichol, R. C., Rose, B., Scolnic, D., Toy, M., Zontou, Z., Asorey, J., Carollo, D., Glazebrook, K., Lewis, G. F., Tucker, B. E., Abbott, T. M. C., Aguena, M., Allam, S., Andrade-Oliveira, F., Annis, J., Bacon, D., Bertin, E., Brooks, D., Buckley-Geer, E., Burke, D. L., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., Desai, S., Diehl, H. T., Doel, P., Everett, S., Ferrero, I., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Giannantonio, T., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hollowood, D. L., Honscheid, K., Hoyle, B., James, D. J., Krause, E., Kuehn, K., Kuropatkin, N., Maia, M. A. G., Marshall, J. L., Martini, P., Menanteau, F., Miquel, R., Morgan, R., Ogando, R. L. C., Palmese, A., Paz-Chinchón, F., Petravick, D., Pieres, A., Plazas Malagón, A. A., Romer, A. K., Sanchez, E., Scarpine, V., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Soares-Santos, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Varga, T. N., Walker, A. R., and Des, Collaboration
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO), 010504 meteorology & atmospheric sciences, Stellar mass, FOS: Physical sciences, Context (language use), Astrophysics, Type (model theory), 01 natural sciences, 7. Clean energy, Luminosity, supernovae: general, Astrophysics - Astrophysics of Galaxie, 0103 physical sciences, Astrophysics - Cosmology and Nongalactic Astrophysic, white dwarf, 010303 astronomy & astrophysics, STFC, evolution [galaxies], 0105 earth and related environmental sciences, white dwarfs, Physics, High Energy Astrophysical Phenomena (astro-ph.HE), RCUK, White dwarf, Astronomy and Astrophysics, galaxies: evolution, Astrophysics - Astrophysics of Galaxies, Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - High Energy Astrophysical Phenomena, Redshift, Galaxy, ST/R000506/1, Supernova, 13. Climate action, Space and Planetary Science, Astrophysics of Galaxies (astro-ph.GA), 8. Economic growth, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], general [supernovae]
Abstract: Wiseman, P., et al. DES Collaboration, We use a sample of 809 photometrically classified Type Ia supernovae (SNe Ia) discovered by the Dark Energy Survey (DES) along with 40 415 field galaxies to calculate the rate of SNe Ia per galaxy in the redshift range 0.2 < z < 0.6. We recover the known correlation between SN Ia rate and galaxy stellar mass across a broad range of scales 8.5 ≤ log (M*/M⊙) ≤ 11.25. We find that the SN Ia rate increases with stellar mass as a power law with index 0.63 ± 0.02, which is consistent with the previous work. We use an empirical model of stellar mass assembly to estimate the average star formation histories (SFHs) of galaxies across the stellar mass range of our measurement. Combining the modelled SFHs with the SN Ia rates to estimate constraints on the SN Ia delay time distribution (DTD), we find that the data are fit well by a power-law DTD with slope index β = −1.13 ± 0.05 and normalization A = 2.11 ± 0.05 × 10−13 SNe M⊙−1 yr−1, which corresponds to an overall SN Ia production efficiency NIa/M∗=0.9 +4.0−0.7×10−3 SNe M−1⊙⁠. Upon splitting the SN sample by properties of the light curves, we find a strong dependence on DTD slope with the SN decline rate, with slower-declining SNe exhibiting a steeper DTD slope. We interpret this as a result of a relationship between intrinsic luminosity and progenitor age, and explore the implications of the result in the context of SN Ia progenitors., The DES data management system is supported by the National Science Foundation under grant numbers AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MICINN under grants ESP2017-89838, PGC2018-094773, PGC2018-102021, SEV-2016-0588, SEV-2016-0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Program (FP7/2007–2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciência e Tecnologia (INCT) do e-Universo (CNPq grant 465376/2014-2).
Published: 2021

42. The WaZP galaxy cluster sample of the dark energy survey year 1

Author: G. Tarle, David J. Brooks, Antonella Palmese, David J. James, Josh Frieman, M. A. G. Maia, Pablo Fosalba, F. Paz-Chinchón, Michael Schubnell, M. Smith, Agnès Ferté, Samuel Hinton, Christophe Benoist, E. Suchyta, Basilio X. Santiago, August E. Evrard, G. Gutierrez, I. Ferrero, Sunayana Bhargava, J. Carretero, R. D. Wilkinson, B. Flaugher, H. Sampaio-Santos, Peter Melchior, Santiago Avila, K. Honscheid, R. L. C. Ogando, J. De Vicente, S. Everett, M. Carrasco Kind, S. Desai, Ramon Miquel, I. Sevilla-Noarbe, Juan Garcia-Bellido, Ofer Lahav, M. Soares-Santos, N. Kuropatkin, L. N. da Costa, Robert Morgan, A. Carnero Rosell, M. Costanzi, Marcos Lima, D. L. Hollowood, S. Serrano, Chun-Hao To, E. J. Sanchez, Douglas L. Tucker, Kyler Kuehn, Paul Giles, E. Bertin, J. Gschwend, Peter Doel, H. T. Diehl, David Bacon, S. Allam, Robert A. Gruendl, Tesla E. Jeltema, A. A. Plazas, Michel Aguena, A. K. Romer, Joseph Louis LAGRANGE (LAGRANGE), Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Observatoire de la Côte d'Azur, COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), DES, Aguena, M., Benoist, C., da Costa, L. N., Ogando, R. L., Gschwend, J., Sampaio dos Santos, H., Lima, M., Maia, M. A., Allam, S., Avila, S., Bacon, D., Bertin, E., Bhargava, S., Brooks, D., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Costanzi, M., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., Everett, S., Evrard, A., Ferrero, I., Ferté, A., Flaugher, B., Fosalba, P., Frieman, J., Garcia-Bellido, J., Giles, P., Gruendl, R., Gutierrez, G., Hinton, S., Hollowood, D. L., Honscheid, K., James, D., Jeltema, T., Kuehn, K., Kuropatkin, N., Lahav, O., Melchior, P., Miquel, R., Morgan, R., Palmese, A., Paz-Chinchon, F., Plazas Malagón, A., Romer, K., Sanchez, E., Santiago, B., Schubnell, M., Serrano, S., Sevilla, I., Smith, M., Soares-Santos, M., Suchyta, E., Tarle, G., To, C., Tucker, D., Wilkinson, R., National Science Foundation (US), Ministerio de Ciencia, Innovación y Universidades (España), Generalitat de Catalunya, European Commission, and Instituto Nacional de Ciência e Tecnologia (Brasil)
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO), FOS: Physical sciences, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, Surveys, Lambda, 01 natural sciences, surveys, 0103 physical sciences, distances and redshifts [Galaxies], Cluster (physics), clusters: general [galaxies], survey, distances and redshift [galaxies], data analysis [Methods], 010303 astronomy & astrophysics, Galaxy cluster, Photometric redshift, Physics, 010308 nuclear & particles physics, Astrophysics::Instrumentation and Methods for Astrophysics, Astronomy and Astrophysics, methods: data analysis, Galaxy, Redshift, South Pole Telescope, Space and Planetary Science, galaxies: clusters: general, data analysi [methods], Cluster sampling, galaxies: distances and redshifts, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Aguena, M., et al., We present a new (2+1)D galaxy cluster finder based on photometric redshifts called Wavelet Z Photometric (WaZP) applied to DES first year (Y1A1) data. The results are compared to clusters detected by the South Pole Telescope (SPT) survey and the redMaPPer cluster finder, the latter based on the same photometric data. WaZP searches for clusters in wavelet-based density maps of galaxies selected in photometric redshift space without any assumption on the cluster galaxy populations. The comparison to other cluster samples was performed with a matching algorithm based on angular proximity and redshift difference of the clusters. It led to the development of a new approach to match two optical cluster samples, following an iterative approach to minimize incorrect associations. The WaZP cluster finder applied to DES Y1A1 galaxy survey (1511.13 deg2 up to mi = 23 mag) led to the detection of 60 547 galaxy clusters with redshifts 0.05 < z < 0.9 and richness Ngals ≥ 5. Considering the overlapping regions and redshift ranges between the DES Y1A1 and SPT cluster surveys, all sz based SPT clusters are recovered by the WaZP sample. The comparison between WaZP and redMaPPer cluster samples showed an excellent overall agreement for clusters with richness Ngals (λ for redMaPPer) greater than 25 (20), with 95 per cent recovery on both directions. Based on the cluster cross-match, we explore the relative fragmentation of the two cluster samples and investigate the possible signatures of unmatched clusters., The DES data management system is supported by the National Science Foundation under Grant Numbers AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MICINN under grants ESP2017-89838, PGC2018-094773, PGC2018-102021, SEV-2016-0588, SEV-2016-0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Program (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciência e Tecnologia (INCT) do e-Universo (CNPq grant 465376/2014-2).
Published: 2021

43. H i constraints from the cross-correlation of eBOSS galaxies and Green Bank Telescope intensity maps

Author: Laura Wolz, Alkistis Pourtsidou, Kiyoshi W Masui, Tzu-Ching Chang, Julian E Bautista, Eva-Maria Müller, Santiago Avila, David Bacon, Will J Percival, Steven Cunnington, Chris Anderson, Xuelei Chen, Jean-Paul Kneib, Yi-Chao Li, Yu-Wei Liao, Ue-Li Pen, Jeffrey B Peterson, Graziano Rossi, Donald P Schneider, Jaswant Yadav, Gong-Bo Zhao, UAM. Departamento de Física Teórica, Centre de Physique des Particules de Marseille (CPPM), and Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)
Subjects: radio lines: galaxies, methods: statistical, Galaxies [Radio Lines], Cosmology and Nongalactic Astrophysics (astro-ph.CO), Statistical [Methods], Large-Scale Structure of Universe, 010308 nuclear & particles physics, Astrophysics::High Energy Astrophysical Phenomena, FOS: Physical sciences, Física, Astronomy and Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, 01 natural sciences, Observations [Cosmology], Evolution [Galaxies], Space and Planetary Science, cosmology: observations, 0103 physical sciences, large-scale structure of Universe, galaxies: evolution, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], 010303 astronomy & astrophysics, Astrophysics::Galaxy Astrophysics, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Artículo escrito por un elevado número de autores, solo se referencian el que aparece en primer lugar, los autores pertenecientes a la UAM y el nombre del grupo de colaboración, si lo hubiere, We present the joint analysis of Neutral Hydrogen (H I) Intensity Mapping observations with three galaxy samples: the Luminous Red Galaxy (LRG) and Emission Line Galaxy (ELG) samples from the eBOSS survey, and the WiggleZ Dark Energy Survey sample. The H I intensity maps are Green Bank Telescope observations of the redshifted 21cm21cm emission on 100deg2100deg2 covering the redshift range 0.6 < z < 1.0. We process the data by separating and removing the foregrounds present in the radio frequencies with FASTI ICA. We verify the quality of the foreground separation with mock realizations, and construct a transfer function to correct for the effects of foreground removal on the H I signal. We cross-correlate the cleaned H I data with the galaxy samples and study the overall amplitude as well as the scale dependence of the power spectrum. We also qualitatively compare our findings with the predictions by a semianalytical galaxy evolution simulation. The cross-correlations constrain the quantity ΩHIbHIrHI,optΩHIbHIrHI,opt at an effective scale keff, where ΩHIΩHI is the H I density fraction, bHIbHI is the H I bias, and rHI,optrHI,opt the galaxy–hydrogen correlation coefficient, which is dependent on the H I content of the optical galaxy sample. At keff=0.31hMpc−1keff=0.31hMpc−1 we find ΩHIbHIrHI,Wig=[0.58±0.09(stat)±0.05(sys)]×10−3ΩHIbHIrHI,Wig=[0.58±0.09(stat)±0.05(sys)]×10−3 for GBT-WiggleZ, ΩHIbHIrHI,ELG=[0.40±0.09(stat)±0.04(sys)]×10−3ΩHIbHIrHI,ELG=[0.40±0.09(stat)±0.04(sys)]×10−3 for GBT-ELG, and ΩHIbHIrHI,LRG=[0.35±0.08(stat)±0.03(sys)]×10−3ΩHIbHIrHI,LRG=[0.35±0.08(stat)±0.03(sys)]×10−3 for GBT-LRG, at z ≃ 0.8. We also report results at keff=0.24keff=0.24 and keff=0.48hMpc−1keff=0.48hMpc−1⁠. With little information on H I parameters beyond our local Universe, these are amongst the most precise constraints on neutral hydrogen density fluctuations in an underexplored redshift range
Published: 2021

44. Light bending by the cosmological constant

Author: Lingyi Hu, Alan Heavens, and David Bacon
Subjects: General Relativity and Quantum Cosmology, Cosmology and Nongalactic Astrophysics (astro-ph.CO), FOS: Physical sciences, Astronomy and Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, General Relativity and Quantum Cosmology (gr-qc), Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We revisit the question of whether the cosmological constant $\Lambda$ affects the cosmological gravitational bending of light, by numerical integration of the geodesic equations for a Swiss cheese model consisting of a point mass and a compensated vacuole, in a Friedmann-Robertson-Walker background. We find that there is virtually no dependence of the light bending on the cosmological constant that is not already accounted for in the angular diameter distances of the standard lensing equations, plus small modifications that arise because the bending is restricted to a finite region covered by the hole. The residual $\Lambda$ dependence for a $10^{13}\,M_{\odot}$ lens is at the level of 1 part in $10^7$, and even this might be accounted for by small changes in the hole size evolution as the photon crosses. We therefore conclude that there is no need for modification of the standard cosmological lensing equations in the presence of a cosmological constant., Comment: 15 pages, 6 figures. Accepted for publication in JCAP
Published: 2021
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45. Dark Energy Survey Year 3 results: Curved-sky weak lensing mass map reconstruction

Author: Sunayana Bhargava, Jennifer L. Marshall, David J. Brooks, Carlos Solans Sanchez, G. Tarle, Samuel Hinton, G. Gutierrez, Alexandra Amon, Peter Doel, Ami Choi, Ben Hoyle, Marco Raveri, B. Flaugher, F. Andrade-Oliveira, Jochen Weller, R. P. Rollins, H. T. Diehl, D. L. Burke, Felipe Menanteau, Alex Drlica-Wagner, J. DeRose, F. J. Castander, David Bacon, E. Suchyta, Dragan Huterer, Christopher J. Conselice, Brian Yanny, Jack Elvin-Poole, U. Demirbozan, Maria E. S. Pereira, Niall MacCrann, Keith Bechtol, Erin Sheldon, Martin Crocce, V. Scarpine, T. M. C. Abbott, Peter Melchior, D. L. Hollowood, S. Serrano, Agnès Ferté, J. De Vicente, J. Cordero, P. F. Leget, A. Campos, Eli S. Rykoff, C. Doux, Chun-Hao To, E. J. Sanchez, K. Herner, F. Paz-Chinchón, J. Carretero, Antonella Palmese, Marcos Lima, J. Myles, I. Harrison, G. Pollina, A. Roodman, David J. James, Tommaso Giannantonio, D. Zeurcher, M. A. G. Maia, M. Rodriguez-Monroy, Joe Zuntz, A. Alarcon, B. Yin, S. Allam, Robert A. Gruendl, A. Kovács, Matthew R. Becker, Pablo Fosalba, B. Mawdsley, Ashley J. Ross, S. Pandey, J. Muir, Joseph J. Mohr, Michael Troxel, I. Ferrero, Matt J. Jarvis, A. Carnero Rosell, J. McCullough, P. Vielzeuf, Yanxi Zhang, Seshadri Nadathur, M. Carrasco Kind, M. March, S. Everett, M. Smith, M. Costanzi, Jean-Luc Starck, Daniel Gruen, I. Tutusaus, Francois Lanusse, Chihway Chang, Daniel Thomas, J. Prat, L. Whiteway, F. Elsner, S. Desai, I. Sevilla-Noarbe, M. Soares-Santos, G. Giannini, W. G. Hartley, D. W. Gerdes, R. Cawthon, N. Kuropatkin, Ramon Miquel, K. D. Eckert, T. N. Varga, L. N. da Costa, J. P. Dietrich, Juan Garcia-Bellido, E. Bertin, E. M. Huff, R. Chen, Michel Aguena, Enrique Gaztanaga, R. L. C. Ogando, Bhuvnesh Jain, M Gatti, Ofer Lahav, Niall Jeffrey, Robert Morgan, L. F. Secco, Nico Hamaus, A. A. Plazas, A. Navarro-Alsina, T. Shin, T. Kacprzak, C. Davis, J. Gschwend, Gary Bernstein, National Science Foundation (US), Ministerio de Ciencia, Innovación y Universidades (España), Ministerio de Economía y Competitividad (España), Generalitat de Catalunya, European Commission, Instituto Nacional de Ciência e Tecnologia (Brasil), University of Portsmouth, Laboratoire de physique de l'ENS - ENS Paris (LPENS), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Département de Physique de l'ENS-PSL, École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Astrophysique Interprétation Modélisation (AIM (UMR7158 / UMR_E_9005 / UM_112)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), DES, Laboratoire de physique de l'ENS - ENS Paris (LPENS (UMR_8023)), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Astrophysique Interprétation Modélisation (AIM (UMR_7158 / UMR_E_9005 / UM_112)), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7), Jeffrey, N., Gatti, M., Chang, C., Whiteway, L., Demirbozan, U., Kovacs, A., Pollina, G., Bacon, D., Hamaus, N., Kacprzak, T., Lahav, O., Lanusse, F., Mawdsley, B., Nadathur, S., Starck, J. L., Vielzeuf, P., Zeurcher, D., Alarcon, A., Amon, A., Bechtol, K., Bernstein, G. M., Campos, A., Rosell, A. C., Kind, M. C., Cawthon, R., Chen, R., Choi, A., Cordero, J., Davis, C., Derose, J., Doux, C., Drlica-Wagner, A., Eckert, K., Elsner, F., Elvin-Poole, J., Everett, S., Ferte, A., Giannini, G., Gruen, D., Gruendl, R. A., Harrison, I., Hartley, W. G., Herner, K., Huff, E. M., Huterer, D., Kuropatkin, N., Jarvis, M., Leget, P. F., Maccrann, N., Mccullough, J., Muir, J., Myles, J., Navarro-Alsina, A., Pandey, S., Prat, J., Raveri, M., Rollins, R. P., Ross, A. J., Rykoff, E. S., Sanchez, C., Secco, L. F., Sevilla-Noarbe, I., Sheldon, E., Shin, T., Troxel, M. A., Tutusaus, I., Varga, T. N., Yanny, B., Yin, B., Zhang, Y., Zuntz, J., Abbott, T. M. C., Aguena, M., Allam, S., Andrade-Oliveira, F., Becker, M. R., Bertin, E., Bhargava, S., Brooks, D., Burke, D. L., Carretero, J., Castander, F. J., Conselice, C., Costanzi, M., Crocce, M., Da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Dietrich, J. P., Doel, P., Ferrero, I., Flaugher, B., Fosalba, P., Garcia-Bellido, J., Gaztanaga, E., Gerdes, D. W., Giannantonio, T., Gschwend, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Hoyle, B., Jain, B., James, D. J., Lima, M., Maia, M. A. G., March, M., Marshall, J. L., Melchior, P., Menanteau, F., Miquel, R., Mohr, J. J., Morgan, R., Ogando, R. L. C., Palmese, A., Paz-Chinchon, F., Plazas, A. A., Rodriguez-Monroy, M., Roodman, A., Sanchez, E., Scarpine, V., Serrano, S., Smith, M., Soares-Santos, M., Suchyta, E., Tarle, G., Thomas, D., To, C., Weller, J., Université de Paris, University College London, Barcelona Institute of Science and Technology, University of Pennsylvania, University of Chicago, Calle Viá Láctea, Universidad de La Laguna (ULL), Ludwig-Maximilians Universität München, ETH Zurich, Argonne National Laboratory, Stanford University, University of Wisconsin-Madison, CarnegieMellon University, Instituto de Astrofisica de Canarias, Laboratorio Interinstitucional de e-Astronomia-LIneA, Dpto. Astrofisica, National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Duke University, Ohio State University, University of Manchester, University of California,Berkeley, Santa Cruz Institute for Particle Physics, Fermi National Accelerator Laboratory, California Institute of Technology, SLAC National Accelerator Laboratory, Denys Wilkinson Building, University of Geneva, University of Michigan, University of Cambridge, Universidade Estadual de Campinas (UNICAMP), Medioambientales y Tecnologicas (CIEMAT), Brookhaven National Laboratory, Institut d'Estudis Espacials de Catalunya (IEEC), CSIC), Max Planck Institute for Extraterrestrial Physics, University of Edinburgh, NSF's National Optical-Infrared Astronomy Research Laboratory, Universidade de Saõ Paul, Universidade Estadual Paulista (UNESP), Institut d'Astrophysique deParis, Institut d'Astrophysique de Paris, University of Sussex, School of Physics and Astronomy, University of Trieste, INAF-Osservatorio Astronomico di Trieste, Institute for Fundamental Physics of the Universe, Observatório Nacional, IIT Hyderabad, Ludwig-Maximilians-Universitat, University of Oslo, Universidad Autonoma de Madrid, University of Queensland, Center for Astrophysics | Harvard and Smithsonian, Texas A and M University, Princeton University, Institucio Catalana de Recerca i Estudis Avancats, University of Southampton, Oak Ridge National Laboratory, and Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Sorbonne Université (SU)-École normale supérieure - Paris (ENS Paris)
Subjects: statistical [Methods], Cosmology and Nongalactic Astrophysics (astro-ph.CO), media_common.quotation_subject, Dark matter, FOS: Physical sciences, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, 7. Clean energy, 01 natural sciences, Gravitational lensing: weak, 0103 physical sciences, Prior probability, Maximum a posteriori estimation, 010303 astronomy & astrophysics, STFC, Weak gravitational lensing, Methods: statistical, media_common, Physics, ST/M001334/1, 010308 nuclear & particles physics, RCUK, Astronomy and Astrophysics, Celestial sphere, gravitational lensing: Weak, large-scale structure of Universe, methods: Statistical, ST/R000476/1, Galaxy, Space and Planetary Science, Sky, astro-ph.CO, Dark energy, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], weak [Gravitational lensing], Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Jeffrey, N., et al. DES Collaboration, We present reconstructed convergence maps, mass maps, from the Dark Energy Survey (DES) third year (Y3) weak gravitational lensing data set. The mass maps are weighted projections of the density field (primarily dark matter) in the foreground of the observed galaxies. We use four reconstruction methods, each is a maximum a posteriori estimate with a different model for the prior probability of the map: Kaiser–Squires, null B-mode prior, Gaussian prior, and a sparsity prior. All methods are implemented on the celestial sphere to accommodate the large sky coverage of the DES Y3 data. We compare the methods using realistic ΛCDM simulations with mock data that are closely matched to the DES Y3 data. We quantify the performance of the methods at the map level and then apply the reconstruction methods to the DES Y3 data, performing tests for systematic error effects. The maps are compared with optical foreground cosmic-web structures and are used to evaluate the lensing signal from cosmic-void profiles. The recovered dark matter map covers the largest sky fraction of any galaxy weak lensing map to date., The DES data management system is supported by the National Science Foundation under Grant Numbers AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MICINN under grants ESP2017-89838, PGC2018-094773, PGC2018-102021, SEV-2016-0588, SEV-2016-0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Program (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciência e Tecnologia (INCT) do e-Universo (CNPq grant 465376/2014-2). This paper has been authored by Fermi Research Alliance, LLC under Contract No. DE-AC02-07CH11359 with the U.S. Department of Energy, Office of Science, Office of High Energy Physics. NJ has been supported by funding from l’Ecole Normale Supérieure, Paris. OL and NJ acknowledge support from a European Research Council Advanced Grant TESTDE (FP7/291329) and STFC Consolidated Grants ST/M001334/1 and ST/R000476/1. AK has been supported by a Juan de la Cierva fellowship from MINECO with project number IJC2018-037730-I, and funding for this project was also available in part through SEV-2015-0548 and AYA2017-89891-P. Cosmic voids computational work has been performed on the UK SCIAMA High Performance Computing cluster supported by the ICG, SEPNet, and the University of Portsmouth.
Published: 2021

46. Pushing automated morphological classifications to their limits with the Dark Energy Survey

Author: Mariangela Bernardi, E. Suchyta, J. Carretero, M. Carrasco Kind, Christopher J. Conselice, A. G. Kim, A. Carnero Rosell, Felipe Menanteau, Marc Huertas-Company, E. Bertin, W. G. Hartley, I. Ferrero, Matt J. Jarvis, David J. Brooks, Jesús Vega-Ferrero, Samuel Hinton, Josh Frieman, J. Gschwend, M. E. C. Swanson, M. Smith, G. Gutierrez, D. L. Hollowood, Pablo Fosalba, R. L. C. Ogando, S. Serrano, Santiago Avila, Daniel Gruen, Ramon Miquel, H. Domínguez Sánchez, V. Scarpine, A. Choi, I. Sevilla-Noarbe, K. Honscheid, N. Kuropatkin, T. N. Varga, S. Desai, David Bacon, L. N. da Costa, S. Allam, Marcos Lima, G. Tarle, Michael Schubnell, Robert A. Gruendl, Ben Hoyle, Maria E. S. Pereira, Chun-Hao To, E. J. Sanchez, Antonella Palmese, B. Margalef, M. A. G. Maia, Michel Aguena, Robert Morgan, F. Tarsitano, F. Paz-Chinchón, A. K. Romer, J. De Vicente, A. A. Plazas, Douglas L. Tucker, Kyler Kuehn, M. Costanzi, R. D. Wilkinson, Juan Garcia-Bellido, J. Annis, National Science Foundation (US), Ministerio de Ciencia, Innovación y Universidades (España), Ministerio de Economía y Competitividad (España), European Commission, Generalitat de Catalunya, Instituto Nacional de Ciência e Tecnologia (Brasil), Vega-Ferrero, J., Domínguez Sánchez, H., Bernardi, M., Huertas-Company, M., Morgan, R., Margalef, B., Aguena, M., Allam, S., Annis, J., Avila, S., Bacon, D., Bertin, E., Brooks, D., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Choi, A., Conselice, C., Costanzi, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Ferrero, I., Fosalba, P., Frieman, J., García-Bellido, J., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hartley, W. G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Hoyle, B., Jarvis, M., Kim, A. G., Kuehn, K., Kuropatkin, N., Lima, M., Maia, M. A. G., Menanteau, F., Miquel, R., Ogando, R. L. C., Palmese, A., Paz-Chinchón, F., Plazas, A. A., Romer, A. K., Sanchez, E., Scarpine, V., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Tarsitano, F., To, C., Tucker, D. L., Varga, T. N., Wilkinson, R. D., Laboratoire d'Etude du Rayonnement et de la Matière en Astrophysique (LERMA (UMR_8112)), Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-CY Cergy Paris Université (CY), Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), DES, Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-CY Cergy Paris Université (CY)
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO), structure [Galaxies], FOS: Physical sciences, Classification scheme, Astrophysics::Cosmology and Extragalactic Astrophysics, 01 natural sciences, Convolutional neural network, Astrophysics - Astrophysics of Galaxie, 0103 physical sciences, observational [Methods], 010303 astronomy & astrophysics, Lenticular galaxy, catalogues, Astrophysics::Galaxy Astrophysics, Physics, 010308 nuclear & particles physics, business.industry, Deep learning, Astronomy and Astrophysics, Pattern recognition, Catalogues, Astrophysics - Astrophysics of Galaxies, Galaxy, Redshift, Space and Planetary Science, Astrophysics of Galaxies (astro-ph.GA), Dark energy, galaxies: structure, Artificial intelligence, methods: observational, Astrophysics - Cosmology and Nongalactic Astrophysics, catalogue, business, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Data release
Abstract: Vega-Ferrero, J., et al., We present morphological classifications of ∼27 million galaxies from the Dark Energy Survey (DES) Data Release 1 (DR1) using a supervised deep learning algorithm. The classification scheme separates: (a) early-type galaxies (ETGs) from late-type galaxies (LTGs); and (b) face-on galaxies from edge-on. Our convolutional neural networks (CNNs) are trained on a small subset of DES objects with previously known classifications. These typically have mr ≲ 17.7 mag; we model fainter objects to mr < 21.5 mag by simulating what the brighter objects with well-determined classifications would look like if they were at higher redshifts. The CNNs reach 97 per cent accuracy to mr < 21.5 on their training sets, suggesting that they are able to recover features more accurately than the human eye. We then used the trained CNNs to classify the vast majority of the other DES images. The final catalogue comprises five independent CNN predictions for each classification scheme, helping to determine if the CNN predictions are robust or not. We obtain secure classifications for ∼87 per cent and 73 per cent of the catalogue for the ETG versus LTG and edge-on versus face-on models, respectively. Combining the two classifications (a) and (b) helps to increase the purity of the ETG sample and to identify edge-on lenticular galaxies (as ETGs with high ellipticity). Where a comparison is possible, our classifications correlate very well with Sérsic index (n), ellipticity (ϵ), and spectral type, even for the fainter galaxies. This is the largest multiband catalogue of automated galaxy morphologies to date., The DES data management system is supported by the National Science Foundation under grant numbers AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MICINN under grants ESP2017-89838, PGC2018-094773, PGC2018-102021, SEV-2016-0588, SEV-2016-0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Program (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciência e Tecnologia (INCT) do e-Universo (CNPq grant 465376/2014-2). This manuscript has been authored by Fermi Research Alliance, LLC under Contract no. DE-AC02-07CH11359 with the U.S. Department of Energy, Office of Science, Office of High Energy Physics.
Published: 2021

47. A New Consistency Test for ΛCDM Cosmology Using Galaxy Surveys

Author: Jinglan Zheng, Gong-Bo Zhao, Yuting Wang, Xiaoyong Mu, Ruiyang Zhao, Weibing Zhang, Shuo Yuan, David Bacon, and Kazuya Koyama
Subjects: Space and Planetary Science, Astronomy and Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We propose a new consistency test for the $\Lambda$CDM cosmology using baryonic acoustic oscillations (BAO) and redshift space distortion (RSD) measurements from galaxy redshift surveys. Specifically, we determine the peak position of $f\sigma_8(z)$ in redshift $z$ offered by a RSD measurement, and compare it to the one predicted by the BAO observables assuming a flat $\Lambda$CDM cosmology. We demonstrate this new test using the simulated data for the DESI galaxy survey, and argue that this test complements those using the background observables alone, and is less subject to systematics in the RSD analysis, compared to traditional methods using values of $f\sigma_8(z)$ directly., Comment: 9 pages, 6 figures; accepted to Research in Astronomy and Astrophysics (RAA)
Published: 2022

48. Datamining Support for Householding on Beowulf Clusters.

Author: Daniel Andresen, David Bacon, and Bernie Leung
Published: 2000

49. The structure and energy of reconstructed {211} twins in silicon

Author: R.C. Pond, David Bacon, and A M Bastaweesy
Subjects: Materials science, Silicon, chemistry, Structure (category theory), chemistry.chemical_element, Molecular physics, Energy (signal processing)
Published: 2020

50. One- and two-point source statistics from the LOFAR Two-metre Sky Survey first data release

Author: Nitesh Bhardwaj, Dominik J. Schwarz, J. Sabater, Glenn J. White, Matt J. Jarvis, Wendy L. Williams, David Bacon, Huub Röttgering, C. L. Hale, Marian Biermann, Timothy W. Shimwell, C. Tasse, Philip Best, Martin J. Hardcastle, Kenneth Duncan, Thilo M. Siewert, Galaxies, Etoiles, Physique, Instrumentation (GEPI), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Centre National de la Recherche Scientifique (CNRS), Unité Scientifique de la Station de Nançay (USN), Université d'Orléans (UO)-Observatoire des Sciences de l'Univers en région Centre (OSUC), Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université d'Orléans (UO)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université d'Orléans (UO)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, PSL Research University (PSL)-Centre National de la Recherche Scientifique (CNRS), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers en région Centre (OSUC), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université d'Orléans (UO)-Observatoire de Paris, and Université Paris sciences et lettres (PSL)-Université d'Orléans (UO)
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO), Large-scale structure of Universe, Point source, media_common.quotation_subject, FOS: Physical sciences, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, galaxies [Radio continuum], Correlation function (astronomy), 01 natural sciences, symbols.namesake, statistics [Galaxies], ST/R000972/1, 0103 physical sciences, Statistics, Source counts, Planck, observations [Cosmology], 010303 astronomy & astrophysics, galaxies: statistics, STFC, Photometric redshift, media_common, radio continuum: galaxies, [PHYS]Physics [physics], Physics, 010308 nuclear & particles physics, RCUK, cosmology, Astronomy and Astrophysics, LOFAR, ST/N504233/1, Redshift, Universe, observations, 13. Climate action, Space and Planetary Science, cosmology: observations, symbols, large-scale structure of Universe, ST/N000668/1, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], ST/R000905/1, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: The LOFAR Two-metre Sky Survey (LoTSS) will map the complete Northern sky and provide an excellent opportunity to study the distribution and evolution of the large-scale structure of the Universe. We study the completeness of the LoTSS first data release (DR1) and find a point-source completeness of 99 % above flux densities of 0.8 mJy and define a suite of quality cuts. We determine the count-in-cell statistics and differential source counts statistic and measure the angular two-point correlation function of the LoTSS radio sources. The counts-in-cell statistic reveals that the distribution of radio sources cannot be described by a spatial Poisson process. Instead, a good fit is provided by a compound Poisson distribution. The differential source counts are in good agreement with previous findings in deep fields at low radio frequencies and with simulated catalogues from the SKA design study sky and the Tiered Radio Extragalactic Continuum Simulation. The angular two-point correlation is $ 1$ deg. Restricting the value added source catalogue to low-noise regions and a flux density threshold of 2 mJy provides our most reliable estimate of the angular two-point correlation. For smaller flux density thresholds systematic issues are identified, most likely related to the flux density calibration of the individual pointings. Based on the distribution of photometric redshifts of LoTSS sources and the Planck 2018 best-fit cosmological model, the theoretically predicted angular two-point correlation between 0.1 deg and 6 deg agrees with the measured clustering for a subsample of radio sources with redshift information. We find agreement with the expectation of large-scale statistical isotropy of the radio sky at the per cent level. The angular two-point correlation agrees well with the expectation of the cosmological standard model. (abbreviated), 30 pages, 35 figures; corrections of affiliations and acknowledgements; version accepted by A&A
Published: 2020

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