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Progress report on analy lysis and calibration Progress report on analysis and calibration of f RAV AVE data and nd preparation n fo for DR3 of RAVE data and preparation for DR3 Toma a Zwitter Toma Zwitter University of


  1. Progress report on analy lysis and calibration Progress report on analysis and calibration of f RAV AVE data and nd preparation n fo for DR3 of RAVE data and preparation for DR3 Tomaž až Zwitter Tomaž Zwitter University of University of Ljubljana f Ljubljana na Faculty of f Mathe hematics and nd Phy hysics Faculty of Mathematics and Physics 3 rd field plate Tomaž Zwitter: RAVE, Padova workshop, 11/6/2009 1 1 Tomaž Zwitter: RAVE, Padova workshop, 11/6/2009

  2. Progress report on analy lysis and calibration Progress report on analysis and calibration of f RAV AVE data and nd preparation n fo for DR3 of RAVE data and preparation for DR3 Plan an: Plan: FP3 FP3 RVs RVs Stellar parameters Stellar Ste ar param amete ters Distances Distan stances DR3 preparation DR3 prepar arati ation DR4+ DR4+ 3 rd field plate Tomaž Zwitter: RAVE, Padova workshop, 11/6/2009 2 2 Tomaž Zwitter: RAVE, Padova workshop, 11/6/2009

  3. 3 rd field plate FP FP3 p performance FP3 performance FP3 performance (Fred): (Fred): FP3 performance Fiber lifetime: very good Fiber lifetime: very good Mechanics: ok, caution on cable & slit Mechanics: ok, caution on cable & slit FP3 results (Mary): (Mary): FP3 results summary: very good summary: very good Tomaž Zwitter: RAVE, Padova workshop, 11/6/2009 3 3 Tomaž Zwitter: RAVE, Padova workshop, 11/6/2009

  4. Reduc uctio ion n pipe ipelin ine Reduction pipeline Input Catalog Fred & observers Group Actually everybody Actually everybody connected to connected to Paul everybody else. everybody else. Data Management Warren Group Alessandro Mary checking... Tomaž Zwitter: RAVE, Padova workshop, 11/6/2009 4 4 Tomaž Zwitter: RAVE, Padova workshop, 11/6/2009

  5. Num umber r of po point ntings gs Number of pointings ~350. 0.000 00 spectra c covering ~ ~17.0 .000 s square degrees ~350.000 spectra covering ~17.000 square degrees objects/degree 2 2 on average, maximum is 107 spectra/degree spectra/degree 2 2 . ~20 o o on a average, , maxi ximum is 1 107 s . ~20 objects/degree Tomaž Zwitter: RAVE, Padova workshop, 11/6/2009 5 5 Tomaž Zwitter: RAVE, Padova workshop, 11/6/2009

  6. Measure red ra radia ial l veloci locitie ies Measured radial velocities Tomaž Zwitter: RAVE, Padova workshop, 11/6/2009 6 6 Tomaž Zwitter: RAVE, Padova workshop, 11/6/2009

  7. Radia ial Radial ve veloc ocity velocity erro rrors rs errors Tomaž Zwitter: RAVE, Padova workshop, 11/6/2009 7 7 Tomaž Zwitter: RAVE, Padova workshop, 11/6/2009

  8. Radial al ve velocit ity y shi hifts Radial velocity shifts Uncontrolled shifts in wavelength calibration. Uncontrolled shifts in wavelength calibration. Affects 5 whole fields and in addition the fibers 3-9 in 66 fields Affects 5 whole fields and in addition the fibers 3-9 in 66 fields in DR3. in DR3. Solution: Solution: - few fields & few fiber 3-9 ranges with really bad RVs are removed, - few fields & few fiber 3-9 ranges with really bad RVs are removed, - the user needs to be suspicious of and RV corrections >10 km/s. - the user needs to be suspicious of and RV corrections >10 km/s. Tomaž Zwitter: RAVE, Padova workshop, 11/6/2009 8 8 Tomaž Zwitter: RAVE, Padova workshop, 11/6/2009

  9. Radial vel veloc ocity defi efinition on: Radial velocity definition: gravi vitat ation onal redshift ft not included ed gravitational redshift not included M and R enter stellar atmosphere M and R enter stellar atmosphere ∇∇ p = - 2 p = = - - ρ ρ g , g = GM / R g g , , g g = GM / R 2 calculation through: calculation through: Gravitational redshift of light Gravitational redshift of light v = = G GM / R Rc = v = GM / Rc = leaving the stellar surface: leaving the stellar surface: R/R סּ סּ )) -1-1 = 0 0.6 .636 k km/s ( M/M סּ סּ ) ( R/R ) ( ( R = 0.636 km/s ( M/M > From: rkurucz@cfa.harvard.edu > Date: June 5, 2009 12:12:30 AM GMT+02:00 > Dear Urtzi, > SYNTHE always computes in the laboratory rest frame because the line > data are in the laboratory frame... That way I can check wavelengths > against laboratory line lists without having to think about red shifts. Tomaž Zwitter: RAVE, Padova workshop, 11/6/2009 9 9 Tomaž Zwitter: RAVE, Padova workshop, 11/6/2009

  10. Radial vel veloc ocity defi efinition on: Radial velocity definition: gravi vitat ation onal redshift ft not included ed gravitational redshift not included Morales-Rueda et al. 2005 Ex Example: A A white d dwarf + + M M d dwarf bi binary. y. Example: A white dwarf + M dwarf binary. Tomaž Zwitter: RAVE, Padova workshop, 11/6/2009 10 10 Tomaž Zwitter: RAVE, Padova workshop, 11/6/2009

  11. Check ck with re repeated obs observ rvations Check with repeated observations 19 May 2009 internal data release: 19 May 2009 internal data release: ∆ RV = 1.8 km/s RV = 1.8 km/s ∆ 276024 spectra, 276024 spectra, ∆ Teff = 135 K Teff = 135 K ∆ 241376 objects observed once, 241376 objects observed once, ∆ log g = 0.2 dex, log g = 0.2 dex, ∆ 15730 more than once 15730 more than once ∆ [M/H] = 0.1 dex [M/H] = 0.1 dex ∆ These errors on stellar parameters are less than half less than half of what is of what is These errors on stellar parameters are derived from comparison with external datasets. So external datasets derived from comparison with external datasets. So external datasets values may not be error free and RAVE errors are indeed smaller. values may not be error free and RAVE errors are indeed smaller. If ∆ ∆ RV > 5 km/s this is likely due to binarity (single lined spectroscopic RV > 5 km/s this is likely due to binarity (single lined spectroscopic If binary). This happens in 6% of the cases. In ~0.6 ~0.6% binarity in a form % binarity in a form binary). This happens in 6% of the cases. In of a double lined spectroscopic binary detected from a single spectrum. of a double lined spectroscopic binary detected from a single spectrum. Tomaž Zwitter: RAVE, Padova workshop, 11/6/2009 11 11 Tomaž Zwitter: RAVE, Padova workshop, 11/6/2009

  12. Errors rrors for for re repeated ob observ rvations ons Errors for repeated observations Tomaž Zwitter: RAVE, Padova workshop, 11/6/2009 12 12 Tomaž Zwitter: RAVE, Padova workshop, 11/6/2009

  13. Last report by Corrado & Mary (25-May-2009) Are parameter values reliable? Are parameter values reliable? Tomaž Zwitter: RAVE, Padova workshop, 11/6/2009 13 13 Tomaž Zwitter: RAVE, Padova workshop, 11/6/2009

  14. Are re p para rameter r values re reliable le Are parameter values reliable ? nd) ? (withi hin li limits expected fo for a dataset of f this kind (within limits expected for a dataset of this kind) Two cases: low S/N spectra, high S/N spectra. Two cases: low S/N spectra, high S/N spectra. Low S/N: everybody agrees, will be discussed later. Low S/N: everybody agrees, will be discussed later. High S/N: no (Corrado, Mary) High S/N: no (Corrado, Mary) yes (Ulisse, Tomaz, Jon) yes (Ulisse, Tomaz, Jon) Arguments to be presented during this meeting: Arguments to be presented during this meeting: Comparison with synthetic spectra, with Soubiran&Girard sample Comparison with synthetic spectra, with Soubiran&Girard sample and observations of clusters using modified (how?) RAVE pipeline and observations of clusters using modified (how?) RAVE pipeline to reduce them (Mary, Corrado). to reduce them (Mary, Corrado). High-res tests (Jon), tests on repeats (Jon), High-res tests (Jon), tests on repeats (Jon), better metallicity calibration (Jon). better metallicity calibration (Jon). Tests on temperature and metallicity using reliably Tests on temperature and metallicity using reliably classified HD stars (Ulisse), customary observations (Ulisse). classified HD stars (Ulisse), customary observations (Ulisse). Comments on theoretical spectra and their culprits (Urtzi). Comments on theoretical spectra and their culprits (Urtzi). Tomaž Zwitter: RAVE, Padova workshop, 11/6/2009 14 14 Tomaž Zwitter: RAVE, Padova workshop, 11/6/2009

  15. Are re p para rameter r values re reliable le Are parameter values reliable ? nd) ? (withi hin li limits expected fo for a dataset of f this kind (within limits expected for a dataset of this kind) Just two comments from my side taken from a conference Just two comments from my side taken from a conference in Palm Cove last month: in Palm Cove last month: The library we use was extensively praised by Mike Bessell. The library we use was extensively praised by Mike Bessell. Martin Asplund's presentation had a title Martin Asplund's presentation had a title „Is the Sun chemically unusual?“ Is the Sun chemically unusual?“ „ Tomaž Zwitter: RAVE, Padova workshop, 11/6/2009 15 15 Tomaž Zwitter: RAVE, Padova workshop, 11/6/2009

  16. Dis istan ance fro rom Distance from stellar r models stellar models Distance e error < < 1 1/3 f for ~ ~1/3 o of stars. . Distance error < 1/3 for ~1/3 of stars. Bredde Breddels et al. 2009, submitted ddels et al. 200 2009, 9, sub ubmitted Tomaž Zwitter: RAVE, Padova workshop, 11/6/2009 16 16 Tomaž Zwitter: RAVE, Padova workshop, 11/6/2009

  17. Ag Age e (not published) Age (not publi lishe hed) Tomaž Zwitter: RAVE, Padova workshop, 11/6/2009 17 17 Tomaž Zwitter: RAVE, Padova workshop, 11/6/2009

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