lefor jc 16 nov 2012akhlaghi/journalclub/pdfs/... · 2012-11-15 · astronomy)and)compu/ng)a&c)...

2
Astronomy and Compu/ng A&C A new Journal Elsevier h:p://www.journals.elsevier.com/astronomy andcompu/ng/

Upload: others

Post on 19-May-2020

3 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: Lefor JC 16 Nov 2012akhlaghi/journalclub/pdfs/... · 2012-11-15 · Astronomy)and)Compu/ng)A&C) • A)new)Journal) • Elsevier) • h:p:// and@compu/ng/)

Astronomy  and  Compu/ng  A&C  

•  A  new  Journal  •  Elsevier  •  h:p://www.journals.elsevier.com/astronomy-­‐and-­‐compu/ng/  

Page 2: Lefor JC 16 Nov 2012akhlaghi/journalclub/pdfs/... · 2012-11-15 · Astronomy)and)Compu/ng)A&C) • A)new)Journal) • Elsevier) • h:p:// and@compu/ng/)

CLASH:  The  enhanced  lensing  efficiency  of  the  highly  elongated  merging  cluster  MACS  J0416.1-­‐2403  

Zitrin  et  al.  1211.2797  

•  CLASH  is  a  524  orbit  program  to  use  the  lensing  proper/es  of  25  galaxy  clusters  to  constrain  their  mass  distribu/ons,  esp  DM  in  the  clsuter  cores.  20  of  them  are  X-­‐ray  selected.  Other  goals  to  deetct  Type  Ia  SN,  charact  galaxies  at  z>7  and  study  evolu/on  of  the  galaxies  in  these  clusters.  J0416  is  a  “high  magnifica/on”  cluster  in  the  CLASH  survey.  20  are  “dynamically  relaxed”.    

•  70  new  mul/ple  images  and  23  background  sources.  •  Enhanced  lensing  efficiency  compared  to  other  lenses  (efficiency=  #mult  images  generated  per  

cri/cal  area).  Elonga/on  boosts  the  number  of  images  per  cri/cal  area  by  a  factor  of  2.5,  due  to  increased  ra/o  of  caus/c  area  rela/ve  to  cri/cal  area.    

•  Efficiency  is  related  to  ellip/city,  substructure  and  distance  from  center.    •  Massive,  more  concentrated  clusters  show  more  mul/ple  images  •  Mass  profile  in  the  center  is  important.  J0416  has  2  main  mass  components  and  the  separa/on  

between  them  enlarges  the  cri/cal  area  by  a  factor  of  2.    •  This  was  iden/fied  in  the  Massive  Cluster  Survey  (MACS),  and  classified  it  as  merging.  Part  of  MACS  

because  of  X-­‐ray  brightness,  and  double  peaked  x-­‐ray  structure.    •  Performed  2  modeling  techniques.  First  used  PIEMD,  with  an  ellip/cal  Gaussian  and  6  parameters.  

Second  method  was  PIEMD  with  an  ellip/cal  NFW  to  represent  the  DM.    •  Models  showed  increased  density  of  mult  images  with  ellip/city  and  lower  separa/on  between  

merging  clumps