MOIRCS GT GOODS-N Ultra Deep Survey: 1. 観測と初期成果

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MOIRCS GT GOODS-N Ultra Deep Survey: 1. 観測と初期成果. 田中壱 ( ハワイ観測所 ) 市川隆 ( 東北大学 ) 、鍛冶沢賢 ( 国立天文台 ) 、秋山正幸、小俣孝司、鈴木竜二、東谷千比呂、西村徹郎、山田亨 ( ハワイ観測所 ) 、小西真広、吉川智弘 ( 東北大学、ハワイ観測所 ) 、内一・勝野由夏 ( 東京大学天文セ ) 他. Abstract. - PowerPoint PPT Presentation

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  • MOIRCS GT GOODS-N Ultra Deep Survey: 1. ()()()()()()

  • AbstractMOIRCS8m2006MOIRCSGuaranteed Time(GT: 20)S06A15MOIRCS(Ichikawa et al.; Tokoku et al.; Katsuno et al.; Tanaka et al.)12GOODS ()20GOODS-NS06A237 GOODSN28arcmin$^2$Ks7.7J5 H1.8FWHM$\lesssim0.4$arcsec(version 0)1.0 arcsec aperture$5\sigma$K=23.2mag(Vega) 20photo- zstellar masscorrelation function GT MOIRCS Deep Survey (MODS)

  • 1. Introduction -- MOIRCSMOIRCS Widest FoV among the worlds Largest (8-10m) telescope. Unique capacity near IR MOS !Open to users since S06A for Imaging, S06B for spectroscopy including MOS.Latest News Stray-light problem has gone now! R1300 is ready from S07A. User filters now acceptable. Service / remote observation will start from S07A. VPH R3000 for J is now under testing (Ichiyama et al.).

  • 2. GT Observation: PlanGT started from Sep 2005.20 nights assignment.Concentrated Assignment (15.5 nights) in spring 2006 to deep imaging for only ONE target field, i.e. GOODS-North Field. Aim Cosmic Evolution of Field Galaxies as a function of stellar mass.Clustering, super high-z objects, SED evolution, stellar mass function, nature of objects in multi-wavelength data space (X, FIR, Submm,UV)

  • GT Plan Efforts for More NightsSuccess Rate of GT Observation: ~18%. Own efforts for GETTING MORE TIME Open use Proposal submission by GT member. --- Successful for Two.Ichikawa et al. (Ichikawa, Hamana, Ouchi, Iwata, MOIRCS team)Tokoku et al. (Tokoku, Ouchi, MOIRCS team)Small amount of the observatory time for H-band data (Ichi Tanaka).

    TAC recommendation for the coordinate of the data among these programs.The data for current analysis (ver 0) is actually from the combined catalog of those program.date allocated effective(*) downtime(+) (hours) (hours) (hours)2005 Sep. 21 6 2.5 0 22 6 0 02006 Feb. 10 6 4.2 0 11 6 0 0 12 6 0 0 13 6 0 0 Mar. 14 12 0 0 20 12 0 0 21 12 0 0 22 12 0 0 Apr. 9 12 0 0 10 12 4.0 0 11 12 0 0 12 12 0 0 13 12 0 0 14 12 0.5 0 15 12 0 0 May 10 6 6 0 11 6 6 0 12 6 6 0 13 6 6 0-------------------------------------- total 192 35.2 0

    success rate 0.18

  • 3. Reduction of GT & Related DatasetsFollow the Standard NIR imaging data analysis.Preparation of the IRAF-based data reduction package MCSRED (Ichi Tanaka) and revision (Konishi, Kajisawa).

  • Software for Fringe RemovalKonishi et al. (2006, in prep.)Original Idea by Dr. Wei-Hao WangSoftware development by M. Konishi

  • ImagesJ (
  • ImagesKs (
  • JHK color compositeCreated by M. Kajisawa/Revised by I. Tanaka

  • 4.Data QualityVersion 0 catalog only combined the data having FWHM
  • J-K vs K color-magnitude diagramThe color of the tellar track seems correct.Photometric zero point is enough accurate.

    Selection of he Distant Red Galaxies (DRGs; J-K>2.3) is reliable.86 DRGs (81 @K38)

  • J-K vs H-KThe color of the tellar track seems correct. Also, distribution of galaxies seems to follow the model galaxy tracks well.

  • phot-z vs spec-z / Mass estimatePhoto-z and the spec-z shows the good match!Complete Mass Limit 109.8 Msun @z=2.5Deficit in z~2: photo-z Artifact?Cosmic Variance?Photo-z BVRizJHK using HyperZ code (Bolzonella et al.2000) Suzuki et al.Kajisawa et al.

  • From Ver.0 (FW
  • 5.Science Highlights(1) DRG number Counts (Kajisawa et al 2006, PASJ, submitted)Detection of the N(m) turn over at faint end!

  • (2) Clustering analysis by ACF (Ichikawa, Hamana, Ouchi et al. in prep)Sub-DRG (J-K>1.2) at 2
  • (3) i-drop objects (Yamada, Kajisawa et al.)Stanway et al. (2005)HUDFi-z vs z-J (J-selected) diagram:

    Deficit of objects with red i-z color (i-z>2).Cosmic Variance?

  • i-drop candidates

  • (5) z-drop object search(Tokoku, Ouchi et al.)A few such candidates ? Need more depth/width.

  • (4) Ultradeep Ks and Spizer IRAC (Akiyama et al.) Red color in K-IR1 indicates very high-z (z>7) : detection of some objects.

  • (7) OthersCosmic Starformation history: the nature of MIPS 24um sources (Yoshikawa).The nature of Optcally-faint X-ray sources (Akiyama).The nature of BzK/VJK-selected objects (Tanaka).Metalliclity Measurement of galaxies at z>2 by MOS (Onodera).Evolutionary history of objects at high redshifts as a function of mass (Kajisawa/Suzuki).Evolution of the Stellar Mass Function (Ichikawa)Morphological Evolution and mass/SFR (Konishi).Spectroscopic Follow-up: reducing the data

  • Near Future PlanStill poor number of massive high-z galaxy sample / More number of high-z dusty starburst galaxies / Search for z>7 objects More depth and width necessary: ----- Intensive ultradeep/wide/narrowband imaging proposal for S07A (Ichikawa et al.).Spectroscopic Follow-up / Metalicity Measurements for huge spectroscopic sample MOS proposals (Kajisawa / Ouchi / Yoshikawa)International collaborations: keeping contacts/discussion with several persons.Ambitious proposals for GT team on our MODS data are welcomed.