dynamical effects of stellar feedback in low mass
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DYNAMICAL EFFECTS OF STELLAR FEEDBACK IN LOW MASS GALAXIES AT Z~2 In - PowerPoint PPT Presentation

JESSIE HIRTENSTEIN DYNAMICAL EFFECTS OF STELLAR FEEDBACK IN LOW MASS GALAXIES AT Z~2 In collaboration with: Tucker Jones, Xin Wang, Andrew Wetzel , Kareem El-Badry , Austin Hoag, Tommaso Treu, Maru a Brada , Takahiro Morishita GLA S S :


  1. JESSIE HIRTENSTEIN DYNAMICAL EFFECTS OF STELLAR FEEDBACK IN LOW MASS GALAXIES AT Z~2 In collaboration with: Tucker Jones, Xin Wang, Andrew Wetzel , Kareem El-Badry , Austin Hoag, Tommaso Treu, Maru š a Brada č , Takahiro Morishita GLA S S : Main Science Drivers

  2. THE CUSP-CORE PROBLEM ▸ Dark matter only simulations predict cusp-y central density profiles ▸ Observations reveal constant density cores CUSP CORE Dark matter only simulations Observations Del Popolo et al. (2016)

  3. THE CUSP-CORE PROBLEM ▸ Dark matter only simulations predict cusp-y central density profiles ▸ Observations reveal constant density cores CUSP CORE CUSP CUSP CORE Simulations including baryonic feedback Dark matter only simulations Observations Del Popolo et al. (2016)

  4. WHERE IS STELLAR FEEDBACK MOST DYNAMICALLY SIGNIFICANT? ▸ Most dynamically effective with 7 ≲ log (M * /M ⦿ ) ≲ 9 , at z ~ 2 ( α ~-1) → cusp ( α ~0) → core Tollet, Macciò, Dutton et. al. (2016)

  5. OSIRIS LENS-AMPLIFIED SURVEY (OLAS) ▸ IR spectrograph with AO + Integral Field Unit (IFU) ▸ Kinematic survey of lensed galaxies ▸ Pre-selected for M * , z, SFR, EL fluxes ▸ 21 galaxies to-date ▸ 8 < log (M * /M ⦿ ) < 9.8 ▸ 1.25 < z < 2.29 https://www2.keck.hawaii.edu

  6. OVERVIEW OF SAMPLE - MASS VS SFR ‣ OLAS pushes 1.5 orders of magnitude lower in M * , SFR Hirtenstein et al. 2019

  7. EXAMPLE IMAGE PLANE KINEMATICS 0.5’’ Hirtenstein et al. 2019

  8. INTEGRATED HII REGION VELOCITY DISPERSIONS Integrated Spectrum Collapse data Flux cube into effective slit ‣ Velocity dispersion from width of integrated H α emission line ‣ Traces depth of potential well 0.5’’

  9. DEEP PROMOTES HIGH FEEDBACK DRIVES GRAVITATIONAL SFR GAS OUTFLOWS POTENTIAL GAS POTENTIAL ACCUMULATES TO SFR FALLS SHALLOWS CENTER

  10. DEEP PROMOTES HIGH FEEDBACK DRIVES GRAVITATIONAL SFR GAS OUTFLOWS POTENTIAL GAS POTENTIAL ACCUMULATES TO SFR FALLS SHALLOWS CENTER

  11. DEEP INCREASED PROMOTES HIGH FEEDBACK DRIVES GRAVITATIONAL VELOCITY SFR GAS OUTFLOWS POTENTIAL DISPERSION GAS DECREASED POTENTIAL ACCUMULATES TO SFR FALLS VELOCITY SHALLOWS CENTER DISPERSION

  12. RELATIONSHIP BETWEEN VELOCITY DISPERSION AND SSFR ▸ Relationship is a result of feedback cycle, which may drive core formation = 1 snapshot z ~ 0 log (M * /M ⦿ ) ~ 8.5 El-Badry et al. (2017)

  13. COMPARING WITH THE FIRE SIMULATIONS Single snapshot from FIRE galaxy Hirtenstein et al. 2019

  14. COMPARING WITH THE FIRE SIMULATIONS Single snapshot from FIRE galaxy Best fit line and 1 σ scatter over entire sample σ pred = σ (M * , sSFR) Hirtenstein et al. 2019

  15. COMPARING WITH THE FIRE SIMULATIONS Single snapshot from FIRE galaxy Best fit line and 1 σ scatter over entire sample σ pred = σ (M * , sSFR) OLAS targets Hirtenstein et al. 2019

  16. COMPARISON AT FIXED M * ‣ OLAS galaxies exhibit same trends as in FIRE ‣ Over both 10 and 100 Myr timescales ‣ OLAS samples at high end of sSFR Hirtenstein et al. 2019

  17. 1-SIGMA AGREEMENT BETWEEN PREDICTED VS EXPECTED DISPERSION ‣ OLAS supports feedback-induced core formation Hirtenstein et al. 2019

  18. CONSTRAINING DWARF GALAXY MASS BUDGETS - PRELIMINARY! Image plane Source plane Hirtenstein et al. in prep

  19. CONSTRAINING DWARF GALAXY MASS BUDGETS - PRELIMINARY! ▸ Does this relationship hold for KMOS3d: z~2, massive galaxies lower mass galaxies? ▸ Need dynamical mass of galaxies ▸ M dyn = M * + M gas + M DM ▸ Examining the DM distribution in high redshift dwarfs: ▸ Cusp → higher f DM → lower f * ▸ Core → lower f DM → higher f * Wuyts et al. 2016

  20. CONSTRAINING DWARF GALAXY MASS BUDGETS - PRELIMINARY! ▸ Does this relationship hold for KMOS3d: z~2, massive galaxies lower mass galaxies? ▸ Need dynamical mass of galaxies ▸ M dyn = M * + M gas + M DM ▸ Examining the DM distribution in high redshift dwarfs: ▸ Cusp → higher f DM → lower f * ▸ Core → lower f DM → higher f * Wuyts et al. 2016

  21. CONSTRAINING DWARF GALAXY MASS BUDGETS - PRELIMINARY! ▸ Does this relationship hold for KMOS3d: z~2, massive galaxies lower mass galaxies? ▸ Need dynamical mass of galaxies ▸ M dyn = M * + M gas + M DM ▸ Examining the DM distribution in high redshift dwarfs: ▸ Cusp → higher f DM → lower f * ▸ Core → lower f DM → higher f * Wuyts et al. 2016

  22. CONSTRAINING DWARF GALAXY MASS BUDGETS - PRELIMINARY! ▸ Does this relationship hold for KMOS3d: z~2, massive galaxies lower mass galaxies? ▸ Need dynamical mass of galaxies ▸ M dyn = M * + M gas + M DM ▸ Examining the DM distribution in high redshift dwarfs: ▸ Cusp → higher f DM → lower f * ▸ Core → lower f DM → higher f * Wuyts et al. 2016

  23. CONSTRAINING DWARF GALAXY MASS BUDGETS - PRELIMINARY! ▸ Does this relationship hold for KMOS3d: z~2, massive galaxies lower mass galaxies? ▸ Need dynamical mass of galaxies ▸ M dyn = M * + M gas + M DM ▸ Examining the DM distribution in high redshift dwarfs: ▸ Cusp → higher f DM → lower f * OSIRIS data ▸ Core → lower f DM → higher f * Wuyts et al. 2016

  24. SUMMARY ‣ Observed direct relationship between sSFR and velocity dispersion ‣ OLAS observations agree with FIRE gas kinematics to within 1 σ ‣ Kinematic signature of feedback altering kinematics ‣ OLAS supports stellar feedback induced core formation PRELIMINARY RESULTS ‣ Constraining z~2 dwarf galaxy mass budgets ‣ Independent analysis of cusp-core using dynamical mass profiles

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