about me

Fan XiLong 范锡龙

Wuhan University

LIGO@Tsinghua

University of Glasgow   Newton International Fellowships

Research》 gravitational wave galaxy evolution by Galactic Chemical Evolution model and SED evolution model

My current work focus on mutil-messenger (GW-EM) astrophysics and cosmology [13,29].  With the help of EM data (such as galaxy catalog) and GW-EM theoretical prediction (such GW-GRB relation), I try to improve the gravitational waves signals detection with the LIGO-Virgo  instruments. In particular, I work on a Bayesian  approach to multi-messenger astronomy, with special interest on GW-EM source  sky localization, GW parameter estimation  [8,9]  and EM counterpart properties  [15,24].

I have spent 3 years understanding the EM data during  my Ph.D  phase, in particular galaxy properties by galactic chemical and SED models [ 4,5,6]. Before that,  I spent 3 years  understanding GW research during  my Master degreed phase.

I also work on GW burst sky localization [2],  stochastic  GW background detection [1,3,19,21] ,  continuous GW detection ([ 10,22]) ,GW echo [28] and  EMRIs or IMRIs[20].

To help students building their own research, I contribute myself to  the research  of  GRB offset [7].

Very recently,  I am  also  interested in the  lensed  GW-EM system and  their applications  on  fundamental questions (e.g. the speed of GW [12] , the wave nature of GW [23 ,27] , the  Hubble constant [14] cosmic curvature [16, 25], dark matter substructure [25] )

The machine learning approach [17,18] is on the way of rewriting  all my work………….深深的😱

Publication

1. Fan, Xi-Long; Zhu, Zong-Hong,  The optimal approach of detecting stochastic gravitational wave from string cosmology using multiple detectors, 2008PhLB..663…17F

2. Wen, L.; Fan, X.; Chen, Y., Geometrical expression of the angular resolution of a network of gravitational-wave detectors and improved localization methods, 2008JPhCS.122a2038W

3.  Zhu, Xing-Jiang; Fan, Xi-Long; Zhu, Zong-Hong, Stochastic Gravitational Wave Background from Neutron Star r-mode Instability Revisited,2011ApJ…729…59Z

4.  Fan, X. L.; Yin, J.; Matteucci, F., The nature of long-GRB host galaxies from chemical abundances, 2010A&A…521A..73F

5. Pipino, A.; Fan, X. L.; Matteucci, F.; Calura, F.; Silva, L.; Granato, G.; Maiolino, R., The chemical evolution of elliptical galaxies with stellar and QSO dust production,2011A&A…525A..61P

6.  Fan, X. L.; Pipino, A.; Matteucci, F., The Dust Properties of z ~ 3 MIPS-LBGs from Photochemical Models, 2013ApJ…768..178F

7. C. Boylan, Y. Li, X.L. Fan, I.S. Heng, Short gamma ray bursts: formation and offsets,  arxiv:1401.7851

8. Fan, XiLong; Messenger, Christopher; Heng, Ik Siong, A Bayesian approach to multi-messenger astronomy: Identification of gravitational-wave host galaxies, http://adsabs.harvard.edu/abs/2014ApJ…795…43F

9. Fan, Xilong; Messenger, Christopher; Heng, Ik Siong, Enhancing gravitational wave astronomy with galaxy catalogues, 2014arXiv1406.2151F

10.   Fan, Xilong; Chen, Yanbei; Messenger, Christopher, Method to detect gravitational waves from an ensemble of known pulsars, https://arxiv.org/abs/1607.06735

11. Fan, Xilong, The detection of gravitational waves and the new era of multi-messenger astronomy, http://phys.scichina.com:8083/sciGe/CN/abstract/abstract510225.shtml

12. Fan, Xilong,Kai Liao, Marek Biesiada,Aleksandra Piorkowska-Kurpas, and ZhongHong Zhu, The speed of gravitational waves from strong lensed gravitational wave-electromagnetic signals ,  https://arxiv.org/abs/1612.04095

13 , XiLong Fan, Martin Hendry, Multimessenger astronomy , https://arxiv.org/abs/1509.06022

14,  Kai Liao, Xi-Long Fan, Xu-Heng Ding, Marek Biesiada, Zong-Hong Zhu, Precision Cosmology from Future Time Delays of Lensed Gravitational Wave and Electromagnetic Signals, https://arxiv.org/abs/1703.04151

15,Xilong Fan, Christopher Messenger, Ik Siong Heng,   Probing intrinsic properties of short gamma-ray bursts with gravitational waves  http://adsabs.harvard.edu/abs/2017PhRvL.119r1102F

16, Kai Liao, Zhengxiang Li, Guo-Jian Wang, Xi-Long Fan, Test of the FLRW metric and curvature with strong lens time delays, https://arxiv.org/abs/1704.04329

17 Xilong Fan, Jin Li* ,Xin Li, Yuanhong Zhong, Cao Junwei , “Applying deep neural networks to the detection and space parameter estimation of compact binary coalescence with a network of gravitational wave detectors”, LIGO Document P1700289, 2017 arxiv.org/abs/1811.01380

18, Xiangru Li*, Woliang Yu,and Xilong Fan*, “A Method Of Detecting Gravitational Wave Based On Time-frequency Analysis And Convolutional Neural Networks, LIGO Document P1700391, https://arxiv.org/abs/1712.00356 ,2017

19,Wei-Wei Tan, Xi-Long Fan, F. Y. Wang, “Short Gamma-Ray Bursts and Gravitational-Wave Observations from Eccentric Compact Binaries” , arXiv:1712.04641, 2017

20 , Wen-Biao Han,Xi-Long Fan*,“On the equations of states of white dwarfs from low-frequency gravitational waves”, arXiv:1711.08628,  2017

21, Fan, Xilong*; Chen, Yanbei “Stochastic gravitational-wave background from spin loss of black holes”, ligo dcc LIGO P1700409-v1, http://arxiv.org/abs/1712.00784 , 2017

22, M. Pitkin*, C. Messenger*, X. Fan*, A hierarchical Bayesian method for detecting continuous gravitational waves from an ensemble of pulsars,https://arxiv.org/abs/1807.06726

23  Zhang Hongsheng, Fan Xilong*, Poisson-Arago spot for gravitational waves, http://export.arxiv.org/abs/1809.06511

24 B.-B. Zhang, B. Zhang, H. Sun, W.-H. Lei, H. Gao, Y. Li, L. Shao, Y. Zhao, Y.-D. Hu, H.-J. Lü, X.-F. Wu, X.-L. Fan, G. Wang, A. J. Castro-Tirado, S. Zhang, B.-Y. Yu, Y.-Y. Cao, E.-W. Liang,  A peculiar low-luminosity short gamma-ray burst from a double neutron star merger progenitor,  https://www.nature.com/articles/s41467-018-02847-3

25  Kai Liao, Xuheng Ding, Marek Biesiada, Xi-Long Fan, Zong-Hong Zhu,  Anomalies in Time Delays of Lensed Gravitational Waves and Dark Matter Substructures,  https://arxiv.org/abs/1809.07079, 2018, ApJ, 867, 69

26  Yufeng Li, Xilong Fan*, and Lijun Gou,Constraining Cosmological Parameters in the FLRW Metric with Lensed GW+EM Signals, The Astrophysical Journal, Volume 873, Number 1., https://arxiv.org/abs/1901.10638v1

27 Kai Liao, Marek Biesiada, Xi-Long Fan* , The wave nature of continuous gravitational waves from microlensing, https://arxiv.org/abs/1903.06612

28 Kai Lin, Wei-Liang Qian, Xilong Fan, Hongsheng Zhang, Tail wavelets in the merger of binary compact objects, https://arxiv.org/abs/1903.09039

29 B.S. Sathyaprakash, Enis Belgacem , Daniele Bertacca (Universita degli Studi di Padova), Chiara Caprini , Giulia Cusin , Yves Dirian , Xilong Fan ,Daniel Figueroa, Stefano Foffa , Evan Hall , Jan Harms , Michele Maggiore , Vuk Mandic , Andrew Matas, Tania Regimbau, Mairi Sakellariadou , Nicola Tamanini , Eric Thrane ,Cosmology and the Early Universe , https://arxiv.org/abs/1903.09260

30 Cheng, Quan; Zhang, Shuang-Nan; Zheng, Xiao-Ping; Fan, Xi-Long, What can PSR J1640-4631 tell us about the internal physics of this neutron star?  http://adsabs.harvard.edu/abs/2019arXiv190406570C

31  Hou, Shaoqi; Fan, Xi-Long*; Zhu, Zong-Hong, Gravitational lensing of gravitational waves: Rotation of polarization plane,10.1103/PhysRevD.100.064028

科普

量子力学与相对论翩翩起舞, 科学家在宇宙金矿挖论文金矿 | 引力波重磅  知社,作者:陈雁北, 范锡龙

陈雁北、范锡龙:爱因斯坦都不敢想象,我们真的探测到引力波!  知社,作者:陈雁北, 范锡龙

打开宇宙时空弯曲的大门, 《人民日报》  作者: 朱宗宏,范锡龙

深度解读人类首次直接探测到引力波事件, 腾讯网,作者:明镜,范锡龙

双黑洞, 你们好: 人类再次探测到引力波!   知社, 作者:范锡龙

又“听”黑洞并合,“猴年马月”并不遥远 《科技日报》 2016-06-16 01版

My review-style talks:

  • Search methods for gravitational waves from an ensemble of known pulsars

Combining information from weak sources, such as known pulsars for gravitational wave detection, is an attractive approach to improve detection efficiency and estimate the hyperparameters of the underlying distribution of population properties. We first propose an optimal statistic for a general ensemble of signals and apply it to an ensemble of known pulsars by combining F-statistics of individual pulsars with different weights to improve the detection efficiency. Then, we use a Bayesian framework to produce a detection statistic for the whole ensemble of sources, and, to estimate the hyperparameters of the underlying distribution of pulsars ellipticities.

  • A Bayesian approach to multi-messenger astronomy

We present a general framework for incorporating astrophysical information into Bayesian parameter estimation techniques used by gravitational wave data analysis to facilitate multi-messenger astronomy. In this talk, we present the Bayesian framework that allows us to reduce the number of host galaxy candidates to be searched, obtain a better estimate of the inclination angle of a compact binary gravitational wave source, probe short gamma-ray burst luminosities and luminosity function.

  • Gravitational Wave Astronomy with High-Frequency Gravitational Waves

The first directly detection of gravitational wave (GW) opens the new era of astronomy: the gravitational wave astronomy.  I will briefly introduce the role of hight-frequency  GW signals  in studies of multi-messenger  joint observations, GW source population, EOS of NS  and cosmology.  I will  present a  Bayesian approach to   multi-messenger astronomy and its applications on GW-host galaxy and GW-short gamma-ray burst.   The strong lensed GW-EM system as an astrophysical  probe, especially on measuring the GW speed and constraining  cosmology parameters, will also be discussed.

  •  The lensed GW-EM system as an astrophysical probe
    The first directly detection of gravitational wave (GW) opens the new era of astronomy: the gravitational wave astronomy. The strongly lensed GWs seen by 3G detectors accompanied by EM signals could also be used to test modified theories of gravity, became a milestone in precision cosmology, applied to studying cosmic curvature and dark matter distributions. I will briefly introduce those applications of lensed GW-EM system as well as the role of microlensing in observing the wave nature of GW.
  • Dust from galactic chemical evolution and SED model
  • The nature of long-GRB host galaxies from chemical abundances
  • 单频引力波的波动性

在历史上,光的衍射和干涉行为证明了光的波动性。 本次报告我将简要探讨引力波的波动性,介绍我们在利用引力波的泊松-阿拉果亮斑、引力波弱引力透镜效应、引力波旋转效应研究引力波波动性的尝试,给出地面和空间引力波探测器对于引力波波动性探测方案的设计。

  • 高频引力波数据处理与引力波天文学简介

引力波的首次直接探测开启了一个全新的天文学时代:引力波天文学时代。本次报告我将介绍针对不同引力波源的高频引力波数据方法 ;引力波在多信使联合探测,群组性质,中子星状态方程,宇宙学等方面的作用。我将简介贝叶斯多信使天文学框架及在引力波-宿主星系,引力波-伽马暴等方面的应用。最后我将讨论强引力透镜化的引力波-电磁波对应体在引力波天文学中的应用。

  • 引力波天文学-量子力学与相对论的完美结合

引力波,电磁波对于双中子星并合的联合观测再次沸腾了整个科学届。人类认识宇宙的多信使时代正式开始。本次报告将回顾引力波探测漫长曲折又激动人心的经历,介绍科学的微观世界以及时空观和星际穿越,探讨引力波探测在物理学、天文学研究中的意义以及蕴藏的哲学意义。

~~~~~~~~~~~~~~

范锡龙博士引力波相关工作主要集中在引力波数据处理和引力波天体物理方向:

  • 对于开启引力波多信使天文学的双中子星并合事件(GW170817),在引力波国际合作组织LVC中负责计算联合引力波(GW170817)与伽马暴(GRB170817A)数据以获得伽马暴的光度[1],所使用方法及其更广泛的应用发表在PRL[2]。
  • 发现双黑洞并合引力波(GW150914)PRL论文[3]及其一系列引力波信号署名作者之一。受邀独立、合作撰写了介绍引力波发现以及引力波天文学的综述[4-6]。
  • 提出解释目前观测到所有双黑洞并合事件中单个黑洞自旋值很小这一问题的方案,并且构建了一个未来检验自旋提取机制的数据处理方法[7]。
  • 提出利用未来空间引力波探测器的观测研究白矮星结构和状态方程的方案[8]。
  • 提出利用引力透镜化的引力波-电磁波系统对引力波的速度和哈勃常数进行研究的新方法,论文分别发表在PRL [9]和Nature Communications[10]。
  • 构建多信使观测大三角[11]与数据处理框架:贝叶斯多信使天文学[12]。
  • 提出引力波爆的定位方法[13],已知脉冲星群组产生连续引力波的探测方法[14]
  • 利用多个引力波探测器网络研究弦宇宙学[15]和中子星r模式不稳定性[16]产生的引力波背景。
  • 开发利用机器学习进行引力波数据处理的新方法[17-18]
  • [1] B. P. Abbott et al.“Gravitational Waves and Gamma-Rays from a Binary Neutron Star Merger: GW170817 and GRB 170817A”The Astrophysical Journal Letters, 848:L13, 2017
  • [2] X. L. Fan*, Christopher Messenger & Ik Siong Heng. “Probing intrinsic properties of short gamma-ray bursts with gravitational waves”, Physical Review Letters,119, 181102 (2017)
  • [3] “Observation of Gravitational Waves from a Binary Black Hole Merger” Phys. Rev. Lett. 116, 061102 (2016)
  • [4] FAN Xi-Long*,SCIENCE CHINA, Physics, Mechanics & Astronomy,  “The detection of gravitational waves and the new era of multi-messenger astronomy”, April 2016 Vol. 59 No. 4: 640001
  • [5]LEE Hyung Mok、LE BIGOT Eric-Olivier、DU ZhiHui、LIN ZhangXi、GUO XiangYu、WEN LinQing、PHUKON Khun Sang、PANDEY Vihan、BOSE Sukanta、FAN Xi-Long*、HENDRY Martin ,Gravitational wave astrophysics, data analysis and multimessenger astronomy,Science China Physics,Mechanics & Astonomy, 12, pp 50-70, 2015/12/1 ,
  • [6] Jin Li, and XiLong Fan*,“The first confirmed gravitational wave detection in LIGO’s second observational run,Science China Physics,Mechanics & Astonomy, 2017 Vol. 60 No. 12: 120431
  • [7]Fan, Xilong*; Chen, Yanbei “Stochastic gravitational-wave background from spin loss of black holes”, ligo dcc LIGO P1700409-v1, http://arxiv.org/abs/1712.00784 , 2017
  • [8] Wen-Biao Han,Xi-Long Fan*,“On the equations of states of white dwarfs from low-frequency gravitational waves”, arXiv:1711.08628,, Nauture Astronomy Submitted, 2017
  • [9] Xi-Long Fan* ,Kai Liao,Marek Biesiada,Aleksandra Piórkowska-Kurpas,Zong-Hong Zhu* ,Speed of Gravitational Waves from Strongly Lensed Gravitational Waves and Electromagnetic Signals,Physical Review Letters,118, 091102,2017
  • [10] Kai Liao,Xi-Long Fan*, Xuheng Ding,  Marek Biesiada, Zong-Hong Zhu*,Precision cosmology from future lensed gravitational wave and electromagnetic signals,  Nature Communications, 8,1148,2017
  • [11] X. L. Fan*, Christopher Messenger & Ik Siong Heng.“Enhancing gravitational wave astronomy with galaxy catalogues”, Gravitational Wave Astrophysics, Astrophysics and Space Science Proceedings, Volume 40, 2015, p. 35
  • [12] X. L. Fan*, Christopher Messenger & Ik Siong Heng.  “A Bayesian approach to multi-messenger astronomy: Identification of gravitational-wave host galaxies”, The Astrophysical Journal, 795, 43 (2014)
  • [13] L.Q. Wen, X. L. Fan, & Y.B. Chen. “Geometrical expression of the angular resolution of a network of gravitational-wave detectors and improved localization methods”,  Journal of Physics Conference Series, 122, 12038 (2008)
  • [14] Fan, Xilong*; Chen, Yanbei; Messenger, Christopher, “Method to detect gravitational waves from an ensemble of known pulsars” , Phys. Rev. D 94, 084029 (2016)
  • [15]X. L. Fan, & Z.H. Zhu. “The optimal approach of detecting stochastic gravitational wave from string cosmology using multiple detectors”, 2008, Physics Letters B, 633, 17;
  • [16] X.J. Zhu, X. L. Fan, & Z.H. Zhu. “Stochastic Gravitational Wave Background from Neutron Star r-mode Instability Revisited”, 2011, The Astrophysical Journal, 729, 59;
  • [17] Jin Li*, Xilong Fan*, Xin Li, Yuanhong Zhong, Cao Junwei ,Applying deep neural networks for detecting compact binary star coalescences with a network of gravitational wave detectors”, LIGO Document P1700289, Physics Letters B, submitted, 2017
  • [18] Xiangru Li*, Woliang Yu,and Xilong Fan*“A Method Of Detecting Gravitational Wave Based On Time-frequency Analysis And Convolutional Neural Networks, LIGO Document P1700391, https://arxiv.org/abs/1712.00356 ,2017

Leave a Reply

You must be logged in to post a comment.