Uncertainties in Chemical Enrichment Models

Similar documents
Chemical Evolution and the Mass Function of Stellar Mass Black Holes

Implementing sub-grid treatments of galactic outflows into cosmological simulations. Hugo Martel Université Laval

THE ENERGY OF STARS NUCLEAR ASTROPHYSICS THE ORIGIN OF THE ELEMENTS

Basics of Galactic chemical evolution

arxiv: v2 [astro-ph.ga] 7 Dec 2016

The Evolution and Explosion of Mass-Accreting Pop III Stars. Ken Nomoto (IPMU / U.Tokyo)

Simulating Feedback-Driven Galactic Chemical Evolution with Individual Stars

ON THE CHEMICAL EVOLUTION OF THE MILKY WAY. The Metallicity distribution of the halo in the hierarchical merging paradigm

Cat's Eye Nebula, APOD 4 Sep 02, Corradi & Goncalves. Falk Herwig:»Nuclear Astrophysics with Neutron Facilities«MSU - 14 Feb 05

Galaxy Formation: Overview

Bridging the near and the far: constraints on first star formation from stellar archaeology. Raffaella Schneider Sapienza University of Rome

Modeling abundances! in star forming galaxies!

formation and evolution of high-z dust

Basics of chemical evolution

Motivation Q: WHY IS STAR FORMATION SO INEFFICIENT? Ṁ M gas / dyn. Log SFR. Kennicutt Log. gas / dyn

Abundance Constraints on Early Chemical Evolution. Jim Truran

stelle e galassie primordiali

Galac%c Halo. Open Cluster

Asymptotic Giant Branch stars

Hybrid C-O-Ne White Dwarfs as Progenitors of Diverse SNe Ia

in the Milky NOW Way AND and THEN dwarf galaxies Stefania Salvadori

Recent Progress in Modeling of Galaxy Formation. Oleg Gnedin (University of Michigan)

arxiv:astro-ph/ v2 9 Aug 2005

Massive black hole formation in cosmological simulations


Dust Formation History with Galaxy Evolution

How environment shapes galaxy evolution: the satellite galaxies' perspective

Nucleosynthesis in heliumenriched

Joop Schaye (Leiden) (Yope Shea)

Dust production by various types of supernovae

A Zoo of Ancient Stellar Relics in our Galactic Halo

On the influence of environment on star-forming galaxies

arxiv:astro-ph/ v2 28 Apr 2005

Svitlana Zhukovska Max Planck Institute for Astrophysics

The evolution of supernova progenitors

A synthetic model of the gravitational wave background from evolving binary compact objects

Environment and the Formation of Globular Cluster Systems

Simulations of First Star Formation

The Pop III/II Transition

Chemo-Dynamical evolution of dwarf spheroidal galaxies

Lecture 11: Ages and Metalicities from Observations A Quick Review

Schmidt-Kennicutt relations in SPH simulations of disc galaxies with effective SN thermal feedback

Supernova feedback in the smallest Milky Way satellites

The Trieste galaxy formation group

The Illustris simulation: a new look at galaxy black hole co-evolution. Debora Sijacki IoA & KICC Cambridge

Impact of Type Ia Supernova Ejecta on Binary Companions

Supernovae as sources of interstellar dust

GALAXIES 626. The Milky Way II. Chemical evolution:

Identifying Progenitors of Stripped-Envelope Supernovae

Zoccali et al. 2003, A&A, 399, 931. Overview of (old) Galactic components. bulge, thick disk, metal-weak halo. metallicity & age distribution

Growing and merging massive black holes

Optical/IR Counterparts of GW Signals (NS-NS and BH-NS mergers)

PUSHing CORE-COLLAPSE SUPERNOVAE TO EXPLOSIONS IN SPHERICAL SYMMETRY

Supernova and Star Formation Rates

arxiv: v1 [astro-ph] 28 Nov 2008

Numerical Cosmology & Galaxy Formation

The First Black Holes and. their Host Galaxies. John Wise

Substructure in the Galaxy

Evolving Disks in Cold Dark Matter Cosmology

Structure and Evolution of Massive Stars (and of the less massive ones also...) Ana Palacios, LUPM / Université de Montpellier

Globular cluster formation with multiple stellar populations: self-enrichment in fractal massive molecular clouds

PATRICIA B. TISSERA. Institute for Astronomy and Space Physics Argentina

CONSTRAINING THE FINAL FATES OF MASSIVE STARS BY OXYGEN AND IRON ENRICHMENT HISTORY IN THE GALAXY

The first phases of life of stars in Globular Clusters: an example of the problems of modern stellar structure computation

The Universe of Galaxies: from large to small. Physics of Galaxies 2012 part 1 introduction

arxiv:astro-ph/ v1 31 Jul 1998

GALACTIC Al 1.8 MeV GAMMA-RAY SURVEYS WITH INTEGRAL

Supernova Feedback in Low and High Mass Galaxies: Luke Hovey 10 December 2009

What Doesn t Quench Galaxy Formation?

Spectrum of the Supernova Relic Neutrino Background

Ultra High Energy Cosmic Rays. UHECRs from Mildly Relativistic Supernovae

The Monash Chemical Yields Project

Correlations between stellar dynamics and metallicity in the discs

Bright Cluster Galaxy formation and the role of AGN feedback. Romain Teyssier

Lecture 11: Ages and Metalicities from Observations. A Quick Review. Multiple Ages of stars in Omega Cen. Star Formation History.

Stellar Dynamics and Structure of Galaxies

The Old Stellar Population Studies with Subaru Young-Wook Lee Yonsei Univ., Seoul, Korea

Overview. Metals in the Intergalactic Medium at z 6: Pop III Stars or Normal Star-Forming Galaxies? p.2/26

Galactic Winds in Starburst Irregular Galaxies

Trends in Intracluster Metallicity

The impact of stellar rotation on the CNO abundance patterns in the Milky Way at low metallicities

The First Stars and their Impact on Cosmology

Part two of a year-long introduction to astrophysics:

AGN Feedback In an Isolated Elliptical Galaxy

The Tempest Simulations Milky Way-type Galaxies, their Environments and Progenitors

arxiv:astro-ph/ v1 5 Feb 2003

GALACTIC CHEMICAL EVOLUTION N. Prantzos (Institut d Astrophysique de Paris)

Feedback from massive stars in dwarf galaxy formation

Deriving stellar masses from SDSS

Chapter 10: Unresolved Stellar Populations

Globular Clusters: a chemical roadmap between anomalies and homogeneity ALESSIO MUCCIARELLI

Observations of galaxy evolution. Pieter van Dokkum

The Giant Branches. Stellar evolution of RGB and AGB stars. Importance, features, uncertainties

Galaxy Evolution. Part 4. Jochen Liske Hamburger Sternwarte

Einführung in die Astronomie II

Coupling small and large scales: how massive and dying stars drive the formation of a galaxy

HST & Resolved Stellar Popula3ons

r-process enrichment traced by Pu and Ba near the sun and in the Draco

Origin and Evolution of Disk Galaxy Scaling Relations

Studying stars in M31 GCs using NIRI and GNIRS

Transcription:

Uncertainties in Chemical Enrichment Models CLUES Cas A M82 Benoit Côté (Christian Ritter, Falk Herwig, Brian O Shea) JINA Frontiers Meeting March 2015

Galactic Outflow M82 Abell 1689 Stripping and Disruption NGC 4676 Galaxy with a SFH Simple Stellar Population Individual Stars NGC 7293 NGC 4449 Cas A Tycho SN Nuclear Physics WR 124 Denissenkov (2012)

Galactic Outflow M82 Abell 1689 Stripping and Disruption NGC 4676 Galaxy with a SFH Simple Stellar Population Individual Stars NGC 7293 NGC 4449 Cas A Tycho SN Nuclear Physics WR 124 Denissenkov (2012)

Galactic Outflow M82 Abell 1689 Benoit Côté Stripping and Disruption NGC 4676 Galaxy with a SFH Simple Stellar Population Individual Stars NGC 7293 NGC 4449 Cas A Tycho SN Nuclear Physics WR 124 Denissenkov (2012)

Quick Overview of my Ph.D. Hugo Martel 40 Mpc Ph.D. project : Develop a semi-analytic model (SAM) that is going to be used as a sub-grid treatment to generate the evolution of galaxies in a cosmological simulation. 40 Mpc Dark Matter SAM (galaxy) Gas Galaxy

Quick Overview of my Ph.D. Hugo Martel 40 Mpc Ph.D. project : Develop a semi-analytic model (SAM) that is going to be used as a sub-grid treatment to generate the evolution of galaxies in a cosmological simulation. 40 Mpc Dark Matter SAM (galaxy) Gas Galaxy Côté et al. (2015)

Quick Overview of my Ph.D. Hugo Martel 40 Mpc Ph.D. project : Develop a semi-analytic model (SAM) that is going to be used as a sub-grid treatment to generate the evolution of galaxies in a cosmological simulation. 40 Mpc Dark Matter Gas Galactic Outflow Galaxy Côté et al. (2015)

Quick Overview of my Ph.D. Hugo Martel 40 Mpc Ph.D. project : Develop a semi-analytic model (SAM) that is going to be used as a sub-grid treatment to generate the evolution of galaxies in a cosmological simulation. 40 Mpc Gas Dark Matter How certain are we about the amount of chemical elements injected in those simulations? Galactic Outflow Galaxy Côté et al. (2015)

Hierarchical Growth of Uncertainties Relative uncertainty scale Nuclear Reaction Rates Stellar Hydro More uncertain results Stellar Model Stellar Population Galaxy Model Cosmological Model Model

Goal of the Current Project Relative uncertainty scale Nuclear Reaction Rates Stellar Hydro More uncertain results Stellar Model Stellar Population Galaxy Model Cosmological Model Model Connect stellar models and nuclear physics to a galaxy model

Goal of the Current Project Relative uncertainty scale Nuclear Reaction Rates Stellar Hydro More uncertain results Stellar Model Stellar Population Galaxy Model Cosmological Model Model Connect stellar models and nuclear physics to a galaxy model How the predicted chemical evolution of galaxies is affected by assumptions in stellar models Explosion prescription Mixing processes Mass-loss

Goal of the Current Project Relative uncertainty scale Nuclear Reaction Rates Stellar Hydro More uncertain results Stellar Model Stellar Population Galaxy Model Cosmological Model Model Connect stellar models and nuclear physics to a galaxy model How the predicted chemical evolution of galaxies is affected by assumptions in stellar models Explosion prescription Mixing processes Mass-loss How the predicted chemical evolution of galaxies is affected by uncertainties in nuclear physics Nuclear reaction rates

Connecting Stellar Models to a Galaxy Model Cas A WR 124 NGC 7293 Tycho SN + IMF Stellar lifetimes = Stellar yields SSP yields SYGMA (Stellar Yields for Galactic Modelling Application) See Christian Ritter s talk at 11:30 C. Ritter C. Fryer F. Herwig J. F. Navarro E. Starkenburg M. Pignatari S. Jones K. Venn P. A. Denissenkov B. Côté the collaboration

Connecting Stellar Models to a Galaxy Model Cas A WR 124 NGC 7293 Tycho SN + IMF Stellar lifetimes = Stellar yields SSP yields SYGMA (Stellar Yields for Galactic Modelling Application) See Christian Ritter s talk at 11:30 Many SSPs SFR (SYGMA) NGC 4449 + Inflows Outflows = Time Star formation history Simple 1-zone galaxy OMEGA (One-zone Model for the Evolution of GAlaxies)

Uncertainties in SYGMA and OMEGA Upcoming project O Shea & Côté SYGMA OMEGA

Uncertainties in SYGMA and OMEGA Upcoming project O Shea & Côté SYGMA OMEGA Milky Way

Uncertainties in SYGMA and OMEGA Upcoming project O Shea & Côté SYGMA OMEGA Milky Way 200 runs with random parameters

Uncertainties in SYGMA and OMEGA Upcoming project O Shea & Côté SYGMA OMEGA Milky Way Galaxy Closed Model 200 runs with random parameters

Uncertainties in SYGMA and OMEGA Upcoming project O Shea & Côté SYGMA OMEGA Inflow Outflow Milky Way Galaxy Open Model 200 runs with random parameters

Core-Collapse SNe Prescription Core-Collapse SNe Z = 0.001 Initial stellar mass > Chieffi & Limongi (2004) Initial stellar mass > Nomoto et al. (2006) Initial stellar mass > 12 15 20 25 3.459E-01 1.151E+00 1.871E+00 7.878E-01 2.430E-02 7.731E-02 9.515E-02 2.527E-02 1.251E-01 7.236E-02 3.741E-02 2.140E-04

Core-Collapse SNe Prescription Core-Collapse SNe Z = 0.001 Initial stellar mass > Chieffi & Limongi (2004) Initial stellar mass > Nomoto et al. (2006) Initial stellar mass > 12 15 20 25 3.459E-01 1.151E+00 1.871E+00 7.878E-01 2.430E-02 7.731E-02 9.515E-02 2.527E-02 1.251E-01 7.236E-02 3.741E-02 2.140E-04

Core-Collapse SNe Prescription Core-Collapse SNe Z = 0.001 Initial stellar mass > Fryer et al. (2012) Chieffi & Limongi (2004) Initial stellar mass > Nomoto et al. (2006) Initial stellar mass > 12 15 20 25 3.459E-01 1.151E+00 1.871E+00 7.878E-01 2.430E-02 7.731E-02 9.515E-02 2.527E-02 1.251E-01 7.236E-02 3.741E-02 2.140E-04

Core-Collapse SNe Prescription

Core-Collapse SNe Prescription N06

Core-Collapse SNe Prescription N06

Core-Collapse SNe Prescription Solid Dashed No ejecta for [30,100] Last model used for [30,100] N06

Core-Collapse SNe Prescription Solid Dashed No ejecta for [30,100] Last model used for [30,100] N06

Core-Collapse SNe Prescription Solid Dashed No ejecta for [30,100] Last model used for [30,100] N06 N06 Last model used for [30,100]

Uncertainties in Nuclear Reaction Rates Low-mass TP-AGB models Herwig et al. (2005)

Uncertainties in Nuclear Reaction Rates Low-mass TP-AGB models Herwig et al. (2005)

Conclusion Relative uncertainty scale O Shea & Côté SYGMA OMEGA Next Steps Create new sets of yields with different physical assumptions (explosion prescription, internal mixing, mass-loss, ) Create new sets of yields with different nuclear reaction rates Ultimate Goal Provide better estimates of the uncertainties related to the predicted chemical enrichment at galactic and cosmological scales

Conclusion Chemical Evolution in Galaxies Un-conference this afternoon Relative uncertainty scale O Shea & Côté SYGMA OMEGA Next Steps Create new sets of yields with different physical assumptions (explosion prescription, internal mixing, mass-loss, ) Create new sets of yields with different nuclear reaction rates Ultimate Goal Provide better estimates of the uncertainties related to the predicted chemical enrichment at galactic and cosmological scales

Open and Closed Models Galaxy Closed Model Inflow Outflow Galaxy Open Model

Open and Closed Models Shift toward higher [Fe/H] Dilution (inflows) Smaller gas reservoir Small initial gas reservoir Outflows Shift toward lower [Fe/H] Stronger outflows