arXiv:1711.03965v1 [astro-ph.SR] 9 Nov 2017 [email protected] [email protected] orsodn uhr ugCu onadSn-ynChun Sang-Hyun and Yoon Sung-Chul author: Corresponding nta asi rdce ob agl needn fmtliiyi h Le the mor if systematically metallicity predict of models independent e Schwarzschild hydrogen-rich largely the metallicity. the be while that to adopted, find predicted we is study, is this mass of initial result auxiliary an As nps-ansqec tr fbt o n ihmse.Orresult Our masses. of high depende masses and metallicity initial low the with both that progenitors of with implies stars Together this sequence al, post-main metallicit calibration. et in Tayar the increasing by codes for with giants evolution red used increases stellar mass are length other RSGs mixing to of Alth the applied temperatures (SED). that be distribution may evidence energy result find spectral our the Clou code, and Magellanic MESA band Large and TiO leng Small the mixing in from temperatures the RSG calibrate empirical We the models. with RSG on constraint observational 4 3 2 1 eateto hsc,KraAvne nttt fScience of Institute Advanced Korea So Seoul, Physics, 04107, of Department University, Astro Sogang and Physics, Physics of of Department School Astrophysics, Univer for National Centre Seoul Monash Astronomy, and Physics of Department yee sn L using 2018 Typeset 11, August version Draft eetsuiso h eprtrso e uegat RG)in (RSGs) supergiants red of temperatures the on studies Recent VLTOAYMDL FRDSPRINS VDNEFRAMETA A FOR EVIDENCE SUPERGIANTS: RED OF MODELS EVOLUTIONARY Keywords: agHu Chun, Sang-Hyun IIGLNT N MLCTOSFRTP I UENV PROGE SUPERNOVA IIP TYPE FOR IMPLICATIONS AND LENGTH MIXING A T E X supernova:general tr:vlto tr:asv tr:uegat stars:funda — stars:supergiants — stars:massive — stars:evolution twocolumn 1 ugCu Yoon, Sung-Chul tl nAASTeX61 in style ∼ 10 − 16 M Rcie;Rvsd Accepted) Revised; (Received; ⊙ aeardu ag f400 of range radius a have ,2 1, ABSTRACT o-enJung, Moo-Keon t Korea uth n ehooy 44,Deen ot Korea South Daejeon, 34141, Technology, and oy oahUiest,Vcoi 80 Australia 3800, Victoria University, Monash nomy, iy 82,Sol ot Korea South Seoul, 08826, sity, h eetfidn fasmlrcreaini low- in correlation similar a of finding recent the mle httpclTp I uenv S IIP) (SN supernova IIP Type typical that implies h oa nvrepoieu iha excellent an with us provide universe local the 3 vlp aso NIPpoeiosfragiven a for progenitors IIP SN of mass nvelope uhorRGmdl r optdwt the with computed are models RSG our ough hprmtrb oprn oe predictions model comparing by parameter th ogU Kim, Uk Dong c ftemxn eghi nvra feature universal a is length mixing the of nce asv yrgnrc neoe o lower for envelopes hydrogen-rich massive e nldn h E n WNcds We codes. TWIN and BEC the including , s ik a,adM1 hc r inferred are which M31, and Way, Milky ds, o ohcssweeteTOadSED and TiO the where cases both for y R oxcieinwt lwsemiconvection slow with criterion doux ⊙ . R . 800 4 etlprmtr — parameters mental n ionKim Jihoon and R LLICITY-DEPENDENT ⊙ eadeso metallicity. of regardless NITORS 1 2 Chun et al.
1. INTRODUCTION tigate the metallicity dependence of RSG properties (cf. The evolution of massive stars in numerical simula- Elias et al. 1985). tions depends on many different physical parameters In the above-mentioned observational studies, RSG lo- that are related to the efficiency of convective energy cations on the Hertzsprung-Russel (RS) diagram have transport, convective overshoot, semi-convection, rota- been compared mostly with the Geneva group mod- tion, mass loss, binarity, and metallicity, among oth- els (e.g., Ekstr¨om et al. 2012; Georgy et al. 2013). The ers (e.g., Maeder & Meynet 2000; Langer 2012; Smith Geneva group uses α = 1.6HP , where HP is the local 2014). Given this complexity, details of massive star pressure scale height at the outer boundary of the con- evolution are still much debated. However, there is a vective core. Although their models match fairly well solid consensus that massive stars of B and O types the observed positions of red giants and supergiants of the Milky Way in the HR diagram, this value was chosen in the mass range of ∼9 to ∼30 M⊙ become red su- pergiants (RSGs) during the post-main sequence phase. based on the solar calibration. In this study we aim to Most of them would also die as RSGs, unless they under- calibrate the mixing-length parameter by comparing the went binary interactions during the course of their evo- most recent observations of RSGs with stellar evolution lution (e.g., Podsiadlowski et al. 1992; Eldridge et al. models at various metallicities. 2013; Yoon et al. 2017) and/or strong enhancement of We choose the MESA code for the model calcula- mass loss during the final evolutionary stages (e.g., tions (Paxton et al. 2011, 2013, 2015). MESA is an open Yoon & Cantiello 2010; Georgy 2012; Meynet et al. source code and currently widely used for various studies 2015). on stellar physics and stellar populations. Our new grid RSG temperatures are mainly determined by the well- of models presented in this study will serve as a useful defined Hayashi limit, which is a sensitive function of reference for future studies on massive stars using MESA the efficiency of convective energy transport and opac- in the community. A few studies indicate that different ity (Hayashi & Hoshi 1961). This means that RSG stars stellar evolution codes lead to diverse RSG structures can be used as reference standards for the calibration for a given initial condition (Martins & Palacios 2013; of some uncertain physical parameters used in stellar Jones et al. 2015). However, this is mainly because of evolution models. In particular, RSG temperatures can different input physics and the Hayashi line that de- provide an excellent observational constraint on the ef- termines RSG temperatures does not appear to signifi- ficiency of the convective energy transport in RSG en- cantly depend on different numerical codes as long as the velopes, which is commonly parameterized by the so- same set of stellar structure equations are employed, as called mixing length in stellar evolution models (e.g., discussed below (Section 3). Therefore, our calibration Kippenhahn & Weigert 1990). of the mixing length parameter for different metallicities This approach has become promising over the past would be of interests to the users of several other stellar decade with observational studies on RSG temperatures evolution codes as well. in different environments. RSG temperatures have been Using our new grid of models, we also investigate typically inferred by the model fitting to the TiO ab- the structure of Type IIP supernova (SN IIP) progeni- sorption band in optical spectra (e.g., Levesque et al. tors. In particular, both theoretical models on SN light 2005, 2006; Massey et al. 2009). The temperatures from curves and recent early-time observations of SN IIP im- this method show a correlation with metallicity: higher ply much smaller radii of RSGs than predicted by con- temperatures at lower metallicities, which is consistent ventional stellar evolution models (e.g., Dessart et al. with the prediction from current several evolutionary 2013; Gonz´alez-Gait´an et al. 2015). In this study we models. Recently, however, Davies et al. (2013) recal- discuss if the observed RSG temperatures can be con- culated the surface temperatures of RSGs in the Mag- sistent with the radii of SN IIP progenitors inferred from ellanic Clouds using the spectral energy distributions SN studies. (SEDs) of RSGs. They found that the temperatures This paper is organized as follows. In Section 2, we de- inferred from the strengths of TiO lines are systemat- scribe the numerical method and physical assumptions ically lower than those inferred from the SEDs. Inter- adopted for this study. In Section 3, we discuss code estingly, no clear metallicity dependence of RSG tem- dependencies of RSG models and the effects of different peratures is found with this new approach (Davies et al. physical parameters on the evolution of RSGs. In Sec- 2015; Gazak et al. 2015; Patrick et al. 2015), in contrast tion 4, we confront our RSG models with observations, to the conclusions of previous observational studies with and discuss the metallicity dependence of the convective the TiO band. This calls for us to systematically inves- mixing length. In Section 5 we discuss the implications AASTEX Evolutionary models of red supergiants 3 of our result for the final structure of RSGs as SN IIP For the calibration of the mixing length parameter, progenitors. We conclude this work in Section 6. we construct RSG models with four different values: α = 1.5, 2.0, 2.5 and 3.0, which are given in units of 2. NUMERICAL METHODS AND PHYSICAL the local pressure scale height. As shown below, the ASSUMPTIONS predicted RSG temperatures with these values can fully cover the observed RSG temperature range. We calculate our models with the MESA code. We consider four different initial metallicities: Z = We construct the evolutionary models with both the 0.004, 0.007, 0.02, and 0.04 scaled with the chemical Schwarzschild and Ledoux criteria for convection. With composition of Grevesse & Sauval (1998), which roughly the Ledoux criterion, we consider inefficient semicon- represent the metallicities of Small Magellanic Cloud vection with an efficiency parameter of αSEM = 0.01. (SMC), Large Magellanic Cloud (LMC), our galaxy Slow semiconvection is implied by numerical simula- (Milky Way), and M31, respectively. Many recent stel- tions (Zaussinger & Spruit 2013). Note also that ex- lar evolution models adopt Z =0.014 with the chemical tremely fast semiconvection leads to results comparable composition of Asplund et al. (2005) and Asplund et al. to those with the Schwarzschild criterion. Therefore our (2009) for the Milky Way metallicity instead of Z =0.02 models can roughly provide the boundary conditions for with the composition of Grevesse & Sauval, but the inefficient and efficient chemical mixing in chemically predicted RSG temperatures are not significantly af- stratified layers. fected by the choice between the two options (see Sec- In the MESA version we use (MESA-8845), the con- tion 3 below). We use the Dutch scheme for stellar vective region is determined by the sign change of the wind mass-loss rates: the mass-loss rate prescriptions difference between the actual temperature gradient and by Vink et al. (2001) for hot stars (Teff > 12500 K) and the adiabatic temperature gradient (the Schwarzschild by de Jager et al. (1988) for cool stars(Teff < 12500 K). criterion) or between the actual temperature gradi- We use the simple photosphere boundary condition, ent and the adiabatic temperature gradient plus the which means that the full set of the stellar structure chemical composition gradient (the Ledoux criterion; equations are solved up to the outer boundary that is de- Paxton et al. 2011). Recently Gabriel et al. (2014) fined by an optical depth of τ =2/3. For other physical point out that such a simple approach may lead to parameters including the opacity table, we employ the a physically incorrect determination of the convective default options of the MESA code for massive stars (i.e., boundary, especially when the chemical composition is the options in the file ’inlist massive defaults’). For each discontinuous across the boundary. Soon after the com- set of physical parameters, we calculate RSG models for pletion of the present study, a new version of the MESA different initial masses in the range from 9M⊙ to 39M⊙ code has been released where a numerical scheme to with a 2M⊙ increment. All the calculations are stopped rectify this issue is introduced (Paxton et al. 2017). As 9 when the central temperature reaches 10 K, from which discussed below in Section 3, however, this does not the envelope structure does not change significantly un- significantly affect RSG temperatures. til core collapse (e.g., Yoon et al. 2017), except for some Convective overshooting is considered with a step 9 and 11 M⊙ models that are stopped at the end of core function and applied only for the hydrogen burning core. helium burning due to a convergence problem. We calculate model sequences with three different over- For the discussion of code dependencies of RSG mod- shooting parameters: fov = 0.05, 0.15, and 0.30, which els in the section 3, we also present several RSG mod- are given in units of the local pressure scale height els with the BEC and TWIN codes. The BEC code, at the upper boundary of the convective core. Note which is also often referred to as the STERN code in that Martins & Palacios (2013) recently suggested using the literature (Heger et al. 2000), has been widely used fov =0.1 − 0.2 based on the distribution of the main se- for the evolutionary models of massive stars, includ- quence stars on the HR diagram. Rotation is not consid- ing the recent Bonn stellar evolution grids (Brott et al. ered in this study. The hydrogen burning core tends to 2011). Like in our MESA models, the convective over- be bigger with rapid rotation (Maeder & Meynet 2000; shooting is treated with a step function in the BEC Heger et al. 2000), and this effect of rotation on the code and the overshooting parameter fov has the same convective core size can be roughly considered with dif- meaning in both cases. The TWIN code is developed ferent overshooting parameters we use here. Note also by P. Egglenton and his collaborators (Eggleton 1971; that not a small fraction of massive stars are slow ro- Eggleton & Kiseleva-Eggleton 2002; Izzard & Glebbeek tators (e.g., Mokiem et al. 2006; Ram´ırez-Agudelo et al. 2006), and the WTTS package by Izzard & Glebbeek 2013; Sim´on-D´ıaz & Herrero 2014), in which case the ef- (2006) has been used for calculating RSG models with fect of rotation would not be important. 4 Chun et al. the TWIN code in this study. In the TWIN code, con- vective overshooting is considered by modifying the con- 5.2 MESA, Schwarzschild, ov = 0 3 MESA, Ledoux, ov = 0 3 vection criterion with an overshooting parameter δov as MESA, Ledoux, ov = 0 05 BEC, Ledoux, ov = 0 3 5.0 ∇rad > ∇ad −δov, where ∇rad and ∇ad are radiative and BEC, Ledoux, ov = 0 05 TWIN, Schwarzschild, ov = 0 05 adiabatic temperature gradients with respect to pressure in a logarithmic scale, respectively. The physical param- ⊙ 4.8
eters adopted in the BEC and TWIN codes are described
4.6
where appropriate in the following section. Note also log that in all of these codes (MESA, BEC, and TWIN), the optical depth at the outer boundary is set to be 2/3. 4.4 = 15 ⊙ , = 0 02 = 2 0
3. EFFECTS OF PHYSICAL PARAMETERS AND 4.2 4.4 4.2 4.0 3.8 3.6 3.4 CODE DEPENDENCIES log Teff [K] 3.1. Effects of the convection criterion and
overshooting MESA, = 2 0 MESA, = 1 5 5.0 BEC, = 2 0 BEC, = 1 5 In Fig. 1, we present evolutionary tracks of 15 M⊙ TWIN, = 2 0 TWIN, = 1 5 stars on the HR diagram calculated with MESA, BEC, and TWIN codes using different convective overshoot- 4.8 ing parameters and convection criteria. It is shown ⊙