Chrome Extension
WeChat Mini Program
Use on ChatGLM

Constraints from LIGO O3 Data on Gravitational-wave Emission Due to R-modes in the Glitching Pulsar PSR J0537–6910

The Astrophysical Journal(2021)SCI 2区SCI 3区

CALTECH | Louisiana State Univ | Interuniv Ctr Astron & Astrophys | Univ Salerno | Monash Univ | Christopher Newport Univ | LIGO Livingston Observ | Australian Natl Univ | Albert Einstein Inst | Univ Cambridge | Univ Birmingham | Northwestern Univ | Inst Nacl Pesquisas Espaciais | Cardiff Univ | Ist Nazl Fis Nucl | Tata Inst Fundamental Res | Natl Astron Observ Japan NAOJ | Calif State Univ Fullerton | Univ Illinois | Univ Claude Bernard Lyon 1 | Univ Wisconsin | Univ Tokyo | Univ Strathclyde | Univ Udine | Embry Riddle Aeronaut Univ | Univ Paris | High Energy Accelerator Res Org KEK | Univ Paris Saclay | Univ Florida | Chennai Math Inst | Hirosaki Univ | Columbia Univ | Gran Sasso Sci Inst GSSI | Nikhef | Korea Inst Sci & Technol Informat KISTI | Natl Inst Math Sci | Osaka Univ | Grad Univ Adv Studies SOKENDAI | Univ Oregon | European Gravitat Observ EGO | Syracuse Univ | Univ Liege | Univ Minnesota | Univ Milano Bicocca | LIGO Hanford Observ | Univ Barcelona | MIT | Univ Glasgow | RMKI | Stanford Univ | Univ Padua | Montana State Univ | Inst Plasma Res | Polish Acad Sci | Univ Sannio | Univ Adelaide | Calif State Univ Los Angeles | Friedrich Schiller Univ Jena | RRCAT | Missouri Univ Sci & Technol | Lomonosov Moscow State Univ | Univ West Scotland | Bar Ilan Univ | Univ Urbino Carlo Bo | Univ Cote Azur | Univ Western Australia | Univ Rennes | Indian Inst Technol | Univ PSL | Catholic Univ Louvain | Warsaw Univ | Univ Maryland | Georgia Inst Technol | Villanova Univ | Chinese Univ Hong Kong | SUNY Stony Brook | NASA | Tsinghua Univ | Beijing Normal Univ | Univ Melbourne | Univ Sassari | Univ Roma Tor Vergata | Univ Sannio Benevento | Univ Valencia | Rochester Inst Technol | Natl Tsing Hua Univ | Fukuoka Univ | Charles Sturt Univ | Tamkang Univ | Univ Chicago | Natl Cent Univ | Acad Sinica | Seoul Natl Univ | Pusan Natl Univ | Univ London | Univ Arizona | Rutherford Appleton Lab | Univ Libre Bruxelles | Univ Illes Balears | Texas Tech Univ | Penn State Univ | Univ Rhode Isl | Univ Texas Rio Grande Valley | Bellevue Coll | Eotvos Lorand Univ | Maastricht Univ | Univ Hamburg | Univ Santiago de Compostela | Univ Sheffield | Univ Parma | Natl Ctr Nucl Res | Univ Zurich | Univ Portsmouth | Univ Strasbourg | West Virginia Univ | Montclair State Univ | Colorado State Univ | Univ Utah | Kenyon Coll | Vrije Univ Amsterdam | Niigata Univ | Univ Szeged | Univ Ghent | Univ British Columbia | Univ Trento | Univ Mississippi | Univ Michigan | Ulsan Natl Inst Sci & Technol UNIST | Chinese Acad Sci | Amer Univ | Univ Toyama | Carleton Coll | Univ Calif Berkeley | Nihon Univ | Haverford Coll | Natl Taiwan Normal Univ | Chungnam Natl Univ | Aoyama Gakuin Univ | Peking Univ | Kyoto Univ | Osaka City Univ | Inst Space & Astronaut Sci JAXA | Directorate Construct Serv & Estate Management | Univ Antwerp | Univ Bialystok | Ewha Womans Univ | Univ Southampton | Barcelona Inst Sci & Technol | Tokyo Inst Technol | Univ Washington Bothell | Inst Appl Phys | Inje Univ Gimhae | Myongji Univ | Korea Astron & Space Sci Inst KASI | Hiroshima Univ | Bard Coll | Cornell Univ | Nagoya Univ | Univ Montreal Polytech | Hanyang Univ | Univ Gustave Eiffel | Natl Appl Res Labs | Univ Washington | Univ Roma Tre | ESPCI | Concordia Univ Wisconsin | Southern Univ A&M Coll | Univ Texas Austin | Univ Napoli Federico II | Indian Inst Technol Madras | Natl Inst Informat & Commun Technol NICT | Ryukoku Univ | Indian Inst Sci Educ & Res | Radboud Univ Nijmegen | Univ Notre Dame | Hobart & William Smith Coll | Univ Fed Rio Grande do Norte | Univ Lancaster | Swinburne Univ Technol | Nagaoka Coll | Univ Lisbon | Marquette Univ | Hosei Univ | Toho Univ | Osaka Inst Technol | Indian Inst Technol Hyderabad | Andrews Univ | 1751 Tokyo City Univ | Natl Inst Adv Ind Sci & Technol | Natl Def Acad Japan | Nagaoka Univ Technol | Trinity Univ | Sejong Univ | Natl Chiao Tung Univ | Rikkyo Univ | Univ Roma La Sapienza | RIKEN | Univ Santiago Chile | CNRS

Cited 45|Views102
Abstract
We present a search for continuous gravitational-wave emission due to r-modes in the pulsar PSR J0537–6910 using data from the LIGO–Virgo Collaboration observing run O3. PSR J0537–6910 is a young energetic X-ray pulsar and is the most frequent glitcher known. The inter-glitch braking index of the pulsar suggests that gravitational-wave emission due to r-mode oscillations may play an important role in the spin evolution of this pulsar. Theoretical models confirm this possibility and predict emission at a level that can be probed by ground-based detectors. In order to explore this scenario, we search for r-mode emission in the epochs between glitches by using a contemporaneous timing ephemeris obtained from NICER data. We do not detect any signals in the theoretically expected band of 86–97 Hz, and report upper limits on the amplitude of the gravitational waves. Our results improve on previous amplitude upper limits from r-modes in J0537-6910 by a factor of up to 3 and place stringent constraints on theoretical models for r-mode-driven spin-down in PSR J0537–6910, especially for higher frequencies at which our results reach below the spin-down limit defined by energy conservation.
More
Translated text
Key words
Gravitational waves,Pulsars,Neutron stars
PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Try using models to generate summary,it takes about 60s
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Related Papers
1995

被引用227 | 浏览

Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper

要点】:本研究利用LIGO O3观测数据,对脉冲星PSR J0537-6910在 glitch 间期的连续引力波辐射进行了搜索,未检测到预期的86-97 Hz频段内的信号,从而对基于r模式振荡的引力波辐射的理论模型提出了严格的限制。

方法】:研究通过使用 NICER 数据获得的同期计时历书,在脉冲星glitch间期搜索r模式引力波辐射。

实验】:该实验使用了LIGO-Virgo Collaboration在O3观测运行期间收集的数据,未检测到引力波信号,并报告了引力波振幅的上限,相较于之前的结果提升了约3倍。