Stellar populations model predictions in the UV spectral range

Similar documents
The relic galaxy NGC 1277

Deriving stellar masses from SDSS

The Stellar Populations of Galaxies H. W. Rix IMPRS Galaxies Course March 11, 2011

Studying stars in M31 GCs using NIRI and GNIRS

Age Dating A SSP. Quick quiz: please write down a 3 sentence explanation of why these plots look like they do.

Where are We Going! How to Calculate Your Own Star!

Review of stellar evolution and color-magnitude diagrams

Stellar population models based on new generation stellar library

Review of stellar evolution and color-magnitude diagrams

Stellar Population Mass Estimates. Roelof de Jong (STScI AIP) Eric Bell (MPIA Univ. of Michigan)

Spectral Energy Distribution of galaxies

Evidence of multiple stellar components in high-z elliptical galaxies from spectral indices and high resolution images

Chapter 10: Unresolved Stellar Populations

IMF variations in unresolved stellar populations: Challenges

An analogy. "Galaxies" can be compared to "cities" What would you like to know about cities? What would you need to be able to answer these questions?

Baby Elliptical Galaxies or Non-Universal IMFs?

The needs and desires of stellar population models. Scott Trager

University of Naples Federico II, Academic Year Istituzioni di Astrofisica, read by prof. Massimo Capaccioli. Lecture 16

arxiv: v1 [astro-ph.co] 2 Dec 2011

MIUSCAT: extended MILES spectral coverage I. Stellar population synthesis models

arxiv:astro-ph/ v1 8 Oct 2002

Globular Clusters in LSB Dwarf Galaxies

Exploring the stellar population of nearby and high redshift galaxies with ELTs. Marco Gullieuszik INAF - Padova Observatory

Chapter 8: Simple Stellar Populations

M31 Color Mag Diagram Brown et al 592:L17-L20!

The star formation history of elliptical galaxies. Patricia Sanchez-Blazquez University of Central Lancashire, UK

Constraints on secular evolution in unbarred spiral galaxies: understanding bulge and disk formation

Dust [12.1] Star clusters. Absorb and scatter light Effect strongest in blue, less in red, zero in radio.

arxiv:astro-ph/ v1 15 Jan 2007

TEREZA JEŘÁBKOVÁ ESO GARCHING & UNIVERSITY OF BONN & CHARLES UNIVERSITY IN PRAGUE

PASTIS: Probing Abundances and Star formation Timescales with Integral field Spectroscopy Anna Gallazzi INAF - Osservatorio Astrofisico di Arcetri

Simple Stellar Populations

Mapping the oxygen abundance in an elliptical galaxy (NGC 5128)

Stellar Populations in the Local Group

Data analysis: CMD and SED

Lecture Three: Stellar Populations. Stellar Properties: Stellar Populations = Stars in Galaxies. What defines luminous properties of galaxies

THE GALACTIC BULGE AND ITS GLOBULAR CLUSTERS: MOS. B. Barbuy

Spectroscopy of M81 Globular Clusters. Julie B. Nantais & John P. Huchra MMT Science Symposium 5/19/10

Element abundance ratios and star formation quenching: satellite versus central galaxies

STRUCTURE AND DYNAMICS OF GALAXIES

Marco Gullieuszik INAF - Osservatorio Astronomico di Padova

Gaia Revue des Exigences préliminaires 1

The Star Clusters of the Magellanic Clouds

Lecture 2: Galaxy types, spectra

Lecture 2: Galaxy types, spectra. Galaxies AS

Following the evolution of the Galactic disc with Open Clusters

Stellar Evolution & issues related to the post Turn-Off evolution

Using Globular Clusters to. Study Elliptical Galaxies. The View Isn t Bad... Omega Centauri. Terry Bridges Australian Gemini Office M13

Spheroidal (Elliptical) Galaxies MBW chap 13, S+G ch 6!

Lyα-Emitting Galaxies at z=3.1: L* Progenitors Experiencing Rapid Star Formation

arxiv:astro-ph/ v1 6 Jul 1999

The Gas Star Cycle in Nearby Early Types: UV, Optical, CO, HI

Multi-wavelength analysis of Hickson Compact Groups of Galaxies.

2. Correlations between Stellar Properties

BULGES NGC 4710 NGC 4594 ESO 498-G5 NGC 4565 NGC 7457 ESO 1129

The First Galaxies. Erik Zackrisson. Department of Astronomy Stockholm University

Deep Keck Spectroscopy of High-Redshift Quiescent Galaxies

arxiv: v1 [astro-ph.ga] 23 Jun 2015

arxiv:astro-ph/ v2 10 Apr 2001

Population synthesis models

Dark Matter. ASTR 333/433 Spring Today Stars & Gas. essentials about stuff we can see. First Homework on-line Due Feb. 4

Exploring the formation histories of galaxies globular clusters and beyond

Astr 5465 Feb. 13, 2018 Distribution & Classification of Galaxies Distribution of Galaxies

CN Variations in Globular Clusters

arxiv: v1 [astro-ph.co] 2 Sep 2011

PyParadise. Developed by: Bernd Husemann (MPIA), Omar Choudhury (AIP)! C. Jakob Walcher Leibniz Institut für Astrophysik Potsdam (AIP)

The M31 Globular Cluster System

Measuring star formation in galaxies and its evolution. Andrew Hopkins Australian Astronomical Observatory

arxiv:astro-ph/ v1 11 Mar 1997

Components of Galaxies Stars What Properties of Stars are Important for Understanding Galaxies?

Monolithic View of Galaxy Formation and Evolution

Evolutionary stellar population synthesis with MILES I. The base models and a new line index system

SCIENCE WITH. HARMONI A near-infrared & visible integral field spectrograph for the E-ELT. Niranjan Thatte University of Oxford

SOFIA/HAWC+ Detection of a Gravitationally Lensed Starburst Galaxy at z = 1.03

arxiv:astro-ph/ v1 26 May 2004

The evolution of the Galaxy Stellar Mass Function:

University of Groningen

Chapter 7: From theory to observations

arxiv: v1 [astro-ph.ga] 27 Mar 2015

Stars + Galaxies: Back of the Envelope Properties. David Spergel

Interpreting Galaxies across Cosmic Time with Binary Population Synthesis Models

Age = Gyr dependent on the detail physics.

The growth channel of massive galaxies

Stellar Population Synthesis: The Role of Adaptive Optics

Evolution of massive galaxies over cosmic time

arxiv:astro-ph/ v2 13 Feb 2005

How, Where and When did the Globular Clusters form?

Galaxies. Need a (physically) meaningful way of describing the relevant properties of a galaxy.

arxiv:astro-ph/ v1 19 Sep 2006

Stellar Populations: Resolved vs. unresolved

The non-universal Initial Mass Function of early-type galaxies. Francesco La Barbera INAF-Osservatorio Astronomico di Capodimonte

The Great Debate: The Size of the Universe (1920)

13.1 Galaxy Evolution: Introduction

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

A100 Exploring the Universe: The Milky Way as a Galaxy. Martin D. Weinberg UMass Astronomy

Chemical tagging of FGK stars: testing membership to stellar kinematic groups

Molecular Gas, Star, and Disk Formation in Local Early-Type Galaxies

The Milky Way Galaxy

Lecture Five: The Milky Way: Structure

Normal Galaxies ASTR 2120 Sarazin

Transcription:

INSTITUTO DE ASTROFÍSICA DE CANARIAS Alexandre Vazdekis M. Koleva, E. Ricciardelli, Falcón-Barroso Stellar populations model predictions in the UV spectral range

The UV spectral range The youngest stellar contributions show up The CMR and other scaling relations do scatter UV upturn Kaviraj+07! Yi+11! 2

Dust effects: da Cunha+08! 3

The UV spectral range Ø Promising, unexploited, indices observed at high redshift Ø Separate stellar components: break burst-age burst-strength degeneracy via specific line-strength diagnostic diagrams Young Old SHARDS! Leonardi & Rose 96 Kauffmann+03 4

The UV spectral range There is a lack of models predicting SEDs at moderately high spectral resolution although there are some predictions based on theoretical stellar libraries at low spectral resolution or empirical but limited to solar metallicity (IUE stellar library).! Bruzual&Charlot+03! 5

NGSL Ø HST-based library (378 stars observed with 3 gratings) (Gregg+06) Ø Spectral range: 1700-10000Å. FWHM: 3-10Å. Ø Stellar spectra characterization (with full spectrum fitting ULySS): Ø Stellar parameters: Koleva & V 13! v v Homogenized with MILES library Lack of metal-poor giants: i.e. only good for the NUV 6

Extended MILES models Ø Join NGSL-based UV models with MILES models: NGSL SSP! MILES SSP! Without applying any correction the two SSP spectra match within < 0.02mag 7

UV SSP model spectra 8

UV SSP model spectra 9

Quality: Qn parameter, which depends on density of stars (it should be > 1): 10

Model colours Dependence on age/meallicity (higher sensitivity to age than in the optical): Ø Comparison to other models: IMF effect (negligible): Ø : 11

MW globular clusters Ø Metal-rich globs well fitted Ø Intermediate-metallicity clusters fits depend on HB morphology Ø Metal-poor clusters require bluer HB 12

Galaxy colours SSP fits of ellipticals and SOs! (Donas+07 data):! Old populations with varying 1Gyr contributions:! Ø NUV colours seem to require a small (<5%) contribution of young stellar populations! Ø UV upturn does not affect significantly NUV colours of UV upturn galaxies! Ø [α/fe] abundance ratios?! 13 SSP(α-enhanced) / SSP(scaled-solar)! 10 Gyr! 2 Gyr! V+15!

UV line-strengths Unlike reddest indices the bluest indices of metal-rich populations tend to peak at intermediate-ages and then decrease for old populations! 14

UV line-strengths Ø Metal-rich globular cluster data well fitted (Ponder+98 data, Harris catalog metallicities). ETGs! Ø Metal-rich clusters seem to be slightly younger than metalpoor ones. Ø Massive galaxies (Ponder+98) show smaller Mg2800 index values as predicted by the models. 15

ETG galaxy spectra Galaxy ages and metallicities in good agreement with the results obtained in the optical range performing full spectrum fitting (ULySS) (Toloba +09 data) 16

Conclusions Ø Extended MILES models down to 1680Å for a range of metallicities ages and IMFs. Ø NUV promising at disentangling SFHs: young stellar populations are much easily separated Ø UV line-strengths behave differently in comparison with optical indices opening new diagnostic diagrams Ø Colours & line-strengths of metal-rich globular cluster well matched in agreement with the results obtained from the optical range Ø Massive ETGs seem to require a contribution of young stellar populations (1-5%). Ø Work to be done to further constrain stellar cluster and galaxy spectra: o Extend the metallicity coverage for younger populations o Fine-tune abundance ratios (Mg/Fe, CN/Fe ) o Bluer HB prescriptions for metal-poor clusters o Work out optimized diagnostic line indices o Varying SFHs o 17