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Mon.Not.R.Astron.Soc.000,1–??(2007) Printed5February2008 (MNLATEXstylefilev2.2) A new constraint for gamma-ray burst progenitor mass Josefin Larsson1,3, Andrew J. Levan2,3,4, Melvyn B. Davies3, Andrew S. Fruchter5 1Institute of Astronomy, Madingley Road, Cambridge CB3 0HA, UK 2Centre for Astrophysics Research, Universityof Hertfordshire, College Lane, Hatfield AL10 9AB, UK 3Lund Observatory, Box 43, SE–221 00 Lund, Sweden. 4Department of Physics, University of Warwick, Coventry, CV4 7AL, UK 5Space Telescope Science Institute, 3700 San Martin Dr., Baltimore, MD 21218, USA 7 0 0 Accepted 2007January18 2 n a ABSTRACT J Recent comparative observations of long duration gamma-ray bursts (LGRBs) and 9 core collapse supernovae (cc SN) host galaxies demonstrate that these two, highly 1 energetic transient events are distributed very differently upon their hosts. LGRBs are much more concentrated on their host galaxy light than cc SN. Here we explore 1 the suggestion that this differing distribution reflects different progenitor masses for v 2 LGRBs and cc SN. Using a simple model we show that, assuming cc SN arise from 6 stars with main sequence masses > 8 M⊙, GRBs are likely to arise from stars with 5 initialmasses>20M⊙.Thisdifferencecannaturallybeexplainedbytherequirement 1 that stars which create a LGRB must also create a black hole. 0 Key words: gamma-rays:bursts 7 0 / h p - 1 INTRODUCTION core collapse SNe (i.e. all types of core collapse events, in- o cluding SN II, Ib and Ic). These results demonstrate that r Long duration gamma-ray bursts (GRBs) originate in hy- t GRBs are highly concentrated on their host light, signifi- s drogen deficient core collapse supernovae (SN Ic [Woosley cantlymoresothanthecorecollapsesupernovapopulation. a 1993; Hjorth et al. 2003; Stanek et al. 2003]). These super- : Fruchter et al. (2006) further suggest that this can be ex- v novae differ from the bulk of the core collapse population plained as being due to the GRBs originating in the most i byshowingnodiscerniblehydrogenorheliumlines,and,of- X massive stars, which, upon core collapse form black holes ten exhibiting very high velocities (∼ 30000 km s−1). The ratherthanneutronstars.Herewefurtherexplorethispos- r mostlikelycandidateprogenitorsystemsarethuswolfrayet a sibilityandattempttoderiveplausiblelimitsontheprogen- stars which have lost their hydrogen envelopes via binary itor lifetime and mass based on the observed distributions interactions, stellar winds or, possibly via complete mixing of cc SNe and GRBs upon their host light. Using a simple onthemainsequence(e.g.Izzardetal.2004;Podsiadlowski model,motivatedbythedistributionsofyoungstarclusters et al. 2004a; Yoon & Langer 2005; Woosley & Heger 2006). inalocalstarburstgalaxy,weexploretheexpecteddistribu- AbsorptionspectraofGRBafterglows supportthispicture, tionsofstarsofdifferentmassesupontheirhostgalaxiesand withsomeburstsexhibitingseveraldifferentabsorptionsys- comparethesetotheobserveddistributionsfromFruchteret tems with velocity shifts of several hundred km/s, possibly al.(2006).Ourresultsdemonstratethatforplausiblemodels wolf-rayet shells from the progenitor wind (e.g. Starling et more massive stars are always more concentrated on their al. 2004; van Marle et al. 2005). host light than lower mass stars. Further,given that super- However, measuring the properties of the progenitor novae originate from stars with initial masses > 8 M⊙, we stariscomplex.Althoughinafew,nearbycasesitispossible find that the observed distributions of GRBs on their host to infer the properties of the star prior to core collapse by galaxies cannaturally beexplained byprogenitors withini- detailed modelling of the supernova spectrum, the paucity tial masses in excess of 20 M⊙. of nearby events limits this sample. An alternative means of understanding the nature of GRB progenitors is via the studyoftheirgalacticenvironments.Clearlyanystudycon- ducted after the event cannot contain the progenitor star 2 MODEL itself, however the environment should be indicative of the 2.1 A local starburst galaxy as a template starformationwhichwasoccurringatthetimeoftheGRB. Recently Fruchter et al. (2006) have conducted a survey of GRB host galaxies at high redshift are starburst galaxies, the galactic environments of both long duration GRBs and with high specific star formation rates (i.e. star formation (cid:13)c 2007RAS 2 J. Larsson et al. rates per unit mass - e.g. Christensen et al. 2004). A natu- ral local analogue for such a galaxy is NGC 4038/39 – the Antennae,andhereweuseitasatemplateforconstructing a simple model of a GRB host. NGC4038/39havebeenstudiedindetailwiththeHub- ble Space Telescope (HST)and theyoungstarclusters have been identified on the basis of Hα imaging (Whitmore & Schweizer1995;Whitmoreetal.1999).Furthermoretheage of young star clusters has been determined on the basis of their multicolour properties compared to the expected syn- thetic colours of clusters at different ages (Fall et al. 2005). The luminosity function and surface density of clusters on NGC4038/39 iscomparabletothatseen inotherlocal star forming galaxies of varying morphology (e.g. M51 or even the LMC, Gieles et al. 2006), indicating that it is a reason- able template. Using this well defined sample of clusters it is possible to examine where they lie on their galaxy light as a function of, for example, cluster age and luminosity. Of course NGC 4038/39 lies only ∼ 20 Mpc distant, as such the resolution of the observations are much higher than is possible for GRB host galaxies at z = 1. Thus Figure 1.LightprofilesfortheobservedGRBandSNhosts(in we resampled the observations of NGC 4038/39 as they grey) together with the profile of the background light (dashed would appear at z = 1 (using a ΛCDM cosmology with black line) and total light (thick solid black line) in our model. ΩΛ = 0.73,ΩM = 0.27,H0 = 71 km s−1 Mpc−1). We used TheextremepointsofthedistributionsfortheSNhostsareshown asthinsolidblacklines. the u-band (F330W) WFPC2 observations of NGC 4039, whichbroadlycorrespondstotherest-framewavelengthob- served with the F606W filter (the most common filter used and their luminosities evolve with time as individual stars in Fruchter et al. 2006) at z = 1. We then use the total endtheirlives.Thekeyparametersofourgalaxymodelare: pixel distribution and the total cluster distribution to de- terminethekeyparametersofthemodel(describedbelow). • The surface density of clusters. Subsequently our model galaxy was set up based on these • The distribution of cluster masses. observations so that it reasonably represents a GRB host • The distribution of cluster ages. galaxy at z=1. • The distribution of background light. • The distribution of clusters on the background light. 2.2 Parameters and implementation of the model Thefirst twopropertieswere takendirectly from theobser- Acommonapproachwhenstudyingtheenvironmentsofas- vationsofNGC4038/39atz∼1asdescribedinsection2.1. tronomicalobjectsistodeterminethedistanceoftheobject The surface density of clusters expressed in terms of num- inquestionfromthecentroidofitshostgalaxy’slight.This ber of clusters per pixel is ∼0.15, although this is far from methodhoweverprovideslimitedinformationwhenstudying uniform across the galaxy. We use the observed distribu- GRBs and SNe as many of their hosts are irregular galax- tionofclustermasses,whichfollows dN/dMcl ∝Mc−l2,with ies with more than one bright component. Fruchter et al. Mcl,min =4·104 M⊙ and Mcl,max =106 M⊙, where Mcl is (2006) therefore developed a method which is independent theclustermass. Theage distribution of clusterswas taken ofgalaxymorphology.IntheirsurveythepositionofaGRB from Falletal.(2005) andfollows dN/dτ ∝τ−1,whereτ is or a SN was determined by sorting all of the pixels of the theclusterage.Inordertomimican(almost)instantaneous hostgalaxyfromfaintesttobrightest,andaskingwhatfrac- burstofstarformation,clustersarecreatedinthemodelac- tion of the total light is contained in pixels fainter than or cording to this distribution over a period of 107 years. equal tothe pixelcontaining theexplosion. To address the issue of the distribution of background Ouraim hereis to set up a simple model which can be light we investigated the light profiles of all the GRB and directlycomparedwiththeobservationalresultsobtainedby SN hosts in the observational sample. These are plotted in Fruchteret al. (2006). Wetherefore definetheproperties of grey in Fig. 1. The light distributions for the two types of ourmodelintermsofthecontentsofeach pixelinagalaxy hosts are very similar although the distributions of the SN consisting of 500 pixels (the mean number of pixels in the hosts fall in a somewhat narrower range than those of the observational sample of GRB hosts). Specifically each pixel GRB hosts (extreme points for the SN hosts are shown as is given a number of (or no) young clusters as well as light thin black lines in the figure). This discrepancy is likely to from old clusters and low-mass field stars. The light from at least in part be due to the smaller number of SN hosts oldclustersandlow-massstarswillfromhereonbereferred presentintheobservationalsample(thesamplecontains16 to as background light. Because of the short lifetimes of SN hosts and 32 GRB hosts). GRB and SN progenitors we take the background light to Because the total background light is larger than the be a constant in our model. The young clusters are created total light from young clusters (a factor of 6–8 for NGC accordingtotheageandmassdistributionsdescribedbelow 4038/39) we can usethetotal light profilesof Fig. 1.to ob- (cid:13)c 2007RAS,MNRAS000,1–?? A new constraint for gamma-ray burst progenitor mass 3 Figure 2. Distribution of clusters on the total light for NGC Figure3.Fractionofobjectsplottedagainstfractionoflightfor 4038/39 at z = 1 (dotted line) and our model (solid line). The observed SNe (red) and GRBs (blue) together with the results distribution for the model was obtained 14 Myr after the first from our model (black lines). Black lines from top to bottom clusters were created. Note, that while the clusters within NGC correspond to minimum progenitor masses of 8, 20, 40, 60, and 4038/39 ofcourseshowarangeofages themeanage(Falletal. 80M⊙. 2005)iscomparabletothatplottedforourmodel. stars drawn from a Salpeter IMF (dN/dM ∝M−2.35) dur- tain an expression for the distribution of background light ingaperiodof106 years.Theluminosityofastarwastaken in our model. The distribution we adopted lies roughly in the middle of the observed distributions (black dashed to go as L∗ ∝M∗3 (to approximate bluelight) and the stel- lLinpeix,minaxF/Ligp.ix1,m)inan=d 2is0,gwivheenrebyLpdixNi/sdLthpeixlu∝miLno−psi1xi.t5ywofitha tlaaicorcnolisrfedatirinmegestowomaTesw∗ahp∝aptr4os·xim1im0p6alit·set(di1c0b0by/uMtth∗ep)rmoyvaeiiandress.egqTouohedenscaeegalriesfseeumtmiemnpet- pixel. The solid black line shows the distribution of total with results from more complete stellar evolution calcula- light in the model after cluster light has been added as de- tions (e.g. Pols et al. 1995; Hurley, Pols & Tout 2000) and scribed below. are sufficient for our purposes here. The distribution of clusters on the background light is Withthissetup,thetotalluminosityofourgalaxyright slightly more complicated than the other items since it is hardtoobservationallyseparatetheclusterlightfromback- after all theclusters havebeen created is about 3·1010 L⊙ andthetotalnumberofyoungclustersisaround70.Wenote groundlight inindividualpixels.Wedohoweverseeaclear thatthetotalluminosityofourmodelgalaxyishigherthan correlation between the number of clusters and the total lightforthepixelsinNGC4038/39. Sincebackgroundlight foratypicalGRBhost(thesearetypicallyaround1010 L⊙), but the properties of our model scale with luminosity and makesupmost ofthetotallightweconcludefrom thisthat ourresults are therefore not affected bythis. young, massive clusters are more likely to be found in pix- Ineachrunoftheprogram,roughly500starswhichare els with a higher amount of background light. To account more massive than a specified minimum progenitor mass for this in our model we developed a correlation method in are randomly selected, the position on the light for each whichtheprobabilityofagivenpixelcontainingclustersin- selected object is calculated at the end of its lifetime, and creases with the amount of background light in that pixel. the cumulative distribution showing the fraction of objects Fig.2showstheresultingdistributionofclustersonthelight as a function of fraction of light is produced. Because the 14Myrafterthefirstclusters werecreated (solid line).The model galaxy evolves with time the galaxy looks somewhat figure also shows the distribution of the clusters in NGC differentforeveryrecordedSNorGRB,andweassumethat 4038/39 as it would look at z = 1 (dotted line). The two these differences account, to first order, for the differences distributions show excellent agreement. Further the distri- between the observed host galaxies. bution of clusters, in terms of number of clusters per unit pixel luminosity, also shows excellent agreement with the observations of NGC 4038/39 as it would appear at z = 1. The cluster distribution of course evolves with time but it 3 RESULTS isencouraging that themodelresembles NGC4038/39 at a time when several GRBs are occurring. Using the parameters described in the previous section we performedrunsforminimumprogenitormassesof8,20,40, 60, and80 M⊙.Theresultsare shown asblack linesin Fig. In order toidentify GRBs and SNeandfollow theevo- 3 together with the observed distributions of SNe (in red) lutionoftheyoungclusters,eachclusterwaspopulatedwith and GRBs (in blue) from Fruchteret al. (2006). (cid:13)c 2007RAS,MNRAS000,1–?? 4 J. Larsson et al. rors,whilefainterpixelscanchangetheirposition(asafunc- tionofhostgalaxy light) byupto∼10%based onthetyp- ical 1σ noise within a pixel. However, we expect that this effect will average out over thelarger sample. Additionally,observationsathighredshiftdonotreveal thefullopticalextentofagivengalaxy,sincelightcontained withinpixelsoflowsurfacebrightnessisnotdetectedabove the sky level. Although the majority of the light is con- centrated in brighter regions the faintest pixels (typically corresponding to a few percent of the light at z ∼ 1) are not detected. To mimic this effect we employed a surface brightness cut upon our models, removing the faintest pix- els containing about 5% of thelight, although we notethat qualitatively our results are not strongly dependent on the effectsofthiscut,sincethemajorityofthelightiscontained in brighter pixels. The results from our model show that the most mas- sive stars are significantly more concentrated on their host galaxy light than the ∼ 8M⊙ stars which give rise to the bulk of the cc SN. This is simply a consequence of the dif- Figure4.KS-probabilitiesofourmodelresultsfollowingtheob- ferentlifetimesofstarsofdifferentmasses;themostmassive servedSN(red)andGRB(blue)distributions.Theprobabilities stars are found in bright, young clusters which can provide are plotted as a function of the minimum progenitor mass and thepeakofthelightofagalaxy,whilemostoftheSNoccur werecalculated formassesof8,20,40, 60,and80 M⊙.Aspline whentheirclustersarefainterandthereforelesslikelytobe hasbeenfitted throughthedatapoints. in the brightest parts of a galaxy. The exact positions on the light for GRBs/SNe with different progenitor masses of course dependon theparam- eters of our model. Because the model contains numerous The model distributions for all masses were KS-tested free parameters with relatively weak constraints on their against theobservedSNandGRBdistributionsandthere- rangeandcorrelationfromdirectobservations,wehavecho- sultingprobabilities areshown asafunctionofmassinFig. sen nottododetailed simulations coveringall of parameter 4. While the probability of following the SN distribution space, but simply to show that we can get good agreement decreases with increasing mass, the likelihood of following with observations for a reasonable set of parameters. In or- the observed GRB distribution increases rapidly from 8 to der to investigate the robustness of our results we however 40 M⊙ and then flattens out, reaching a weak maximum performed several runs varying each of the key parameters around60M⊙.Theshapesofthetwoprobability functions listed insection 2whilekeepingtherest of themodelfixed. lookthesameforallrealisations ofthemodel,althoughthe Wefoundthatthemostimportant parametersarethelevel peakprobabilitiescanchangebyabout0.1betweendifferent of background light, the distribution of clusters upon this runs. These results strongly suggest that GRB progenitors background,and the numberof youngclusters. are significantly more massive than SN progenitors. In order to investigate the effect of varying the level of background light we performed runs with a total back- groundrangingfrom 1/3to10timesthebackgroundofour standardmodel.Thelowerlimitissetbyrequiringthatthe totalclusterlightneverexceedsthebackgroundlightinour 4 DISCUSSION model. We note that our analysis of the starburst galaxy NGC 4038/39 finds a background–to–cluster light ratio of 4.1 Robustness and limitations of the model around6–8,andthatthereforeextremelyunusualconditions In this section we address the robustness of our results by wouldbeneededtoarriveatourlowerlimit.Theupperlimit considering the errors on the observed distributions as well correspondstowhatwouldbeexpectedinearlytypegalax- as the uncertainties and limitations of ourmodel. ies which contain relatively few supernovae and are equally An issue requiring discussion is how one matches our not expected within our sample of GRB or SNhosts. theoreticalmodeltotheobservational data.Clearly theob- Decreasingtheamountofbackgroundlightinthemodel servations contain various measurement errors, whereas er- makes the contribution from cluster light more important rors within the model are contained within the assumption and all progenitors therefore become more concentrated on which are made. The observational errors to consider are the host light. For the lowest background the 8 M⊙ pro- those on the photometry (i.e. the error on the value of the genitors fall between the observed SN and GRB distribu- pixel containing the GRB or SN) and those on the astrom- tions.Increasingthebackgroundhastheoppositeeffectand etry (i.e. knowledge of the location of the transient on its for the highest background all the progenitors are less con- host galaxy). The latter is normally very small (though see centrated on the light than the observed SNe. Because the Fruchter et al. 2006 for a more complete discussion), while background completely dominates the total light distribu- theformerdependslargelyonthevalueofthepixelinques- tion close to our upper limit, the distributions for different tion, bright pixels have markedly smaller measurement er- progenitor masses also move closer together. More massive (cid:13)c 2007RAS,MNRAS000,1–?? A new constraint for gamma-ray burst progenitor mass 5 progenitors are however always more concentrated on the in the opposite direction from that observed (i.e. it would light than lower mass ones. typically make GRB progenitors seem less concentrated on In this case one may wonder if it is possible for the theirhosts). GRB distribution to be explained by differing background In summary our results are robust in the following im- toclusterlightratiosinthehostgalaxies.However,asGRB portant aspects: hoststypicallyhaveahighspecificstarformation rates(i.e. • For all plausible models more massive progenitors are highstarformationratesperunittotalluminosity)wewould always more concentrated on their host galaxy light than expect that GRB hosts would have higher cluster to back- lower mass progenitors. ground light ratios. However, we note that even in the ex- treme case of equal background and cluster light (which is • We found no reasonable parameters for which a pro- unreasonable in essentially all galaxies) the distribution of SN progenitors remains less concentrated than is observed genitor mass of 8 M⊙ was close to following the observed GRB distribution, indicating that the GRB progenitors for GRBs. havesignificantly higher masses. Intherunsjustdescribedwevariedtheamountofback- groundlightwhilekeepingtheshapeofthedistributioncon- • In models where progenitors with a minimum mass of stant. As described in section 2.2, this shape was chosen as themedian of thelight distributionsof all thehostsseen in 8 M⊙ follow the observed SN distribution, we always find thattheGRBprogenitors havetobemoremassivethan20 Fig.1.Tocheckwhetherthissimplificationhasanyeffecton theresultwecomparedtheresultobtainedwhenusingonly M⊙. the median to the result obtained by averaging the results Based on these results we conclude that the observed loca- fordifferentlightdistributionsdrawnfromFig.1.Wefound tions of SNe and GRBs on the light of their host galaxies that the results are indeed very similar. can be explained if the GRB progenitors are significantly Asmentioned in section 2.2 thedistribution of clusters more massive than theSN progenitors. inNGC4038/39suggeststhatyoungclustersaremorelikely Since the lifetime of a star is clearly dependent on its tobefoundinpixelswithahigherlevelofbackgroundlight. mass we can also place a limit on the lifetime of the stars Sinceitishardtoputobservationalconstraintsonthiscor- forming the GRBs. The observed light comes from the en- relation for different types of galaxies we simply note that semble of massive stars around the progenitor of the GRB, bothnocorrelationandmaximalcorrelationareunphysical: and it is the age of these which effectively sets the distri- young clusters are always found in bright regions of galax- butions seen in Figure 3. It is plausible that, as unusual ies and there is simply not enough space to place all of the stars, GRB progenitors might follow different evolutionary clustersintheverybrightestpixels.Wethereforeperformed paths and thus havedifferent lifetimes. For example, under runs varying the correlation between these two extremes. themodels of Yoon & Langer (2005) and Woosley & Heger When little correlation is present progenitors of all masses (2006)rapidlyrotatingmassivestarsundergocompletemix- are less concentrated on the host light and the distribution ing and have longer lifetimes than normal main sequence for 8 M⊙ progenitors is pushed above the observed SN dis- stars (with lower angular momentum) of the same mass. In tribution. Increasing the correlation has the opposite effect thissensethedistributionsmaymoreaccuratelysettheage but thedistribution for 8 M⊙ progenitors still remains well of the population rather than the mass of the progenitor. above the observed GRB distribution. For all correlations Thedistributionsshown in Figure3are well reproducedby more massive stars are always more concentrated on the a population with tSN < 50 Myr and tGRB < 20 Myr. We light than lower mass ones. notethatthesevaluesdifferfromthoseobtainedviadetailed As a side note we also point out that the correlation stellar evolution modelling and that most models predict is degenerate with the level of background light; a similar shorter life times (e.g. Schaller et al. 1992). This discrep- result can be obtained using a high background together ancy is due to the relatively simple treatment of the main withahighcorrelationaswithalowerbackgroundtogether sequencelifetimes within ourcode. with a low correlation. In deriving these results we have, of course, assumed The last parameter which was seen to significantly af- the same basic model for GRB and SN hosts, in terms of fecttheresultsisthesurfacedensityofyoungclusters.Since theexpected relative distribution of clusters upon them. In thesurfacedensityofclustersonNGC4038/39 iscompara- truth this is poorly known, although it is clear that the ble to that seen in other local star forming galaxies (Giels different host galaxies differ significantly morphologically, et al. 2006) we simply vary the number of clusters in the with 50% of SN hosts being spiral, compared to only 7% model between 1/10 and 10 times this typical value. When of the GRB hosts in the same redshift range. Typically the fewer young clusters are included the progenitors are more star formation is likely to bemore intensein the GRBhost concentrated on the light as there are more low luminosity galaxies than in the SN sub-sample. So, in the language of pixels present. Including a larger number of clusters makes ourmodelthebackgroundtoclusterlightratiowillbelower theprogenitorslessconcentratedonthelight.Asinthecase in GRB host galaxies. This is to some extent taken into of varying the background and correlation we however find account in our model as the most massive stars end their thatmoremassiveprogenitorsarealwaysmoreconcentrated liveswhilethemajorityofthestarsintheclusterarestillon onthelightthanlowermassones,andthatthe8M⊙progen- themain sequence (i.e. while thecluster is at its maximum itors are always well above the observed GRB distribution. luminosity), whereas most 8M⊙ stars will explode as SNe Indeed,aswemightexpectthesurfacedensityofclustersto whenmuchoftheclusterlighthasdisappeared.Inpractice, be higher in GRB hosts (because of their high specific star measuring the distribution of individual clusters on GRB formation rates) this effect would bias the observed results and SN host galaxies will be impossible for the foreseeable (cid:13)c 2007RAS,MNRAS000,1–?? 6 J. Larsson et al. future, and we can not assess how well our model accounts supernovae with faint optical emission, and might not be fortheseplausibledifferencesbetweenthetwotypesofhosts. represented,evenindeepopticalsurveys.Wetestedthisef- We therefore caution against drawing strong quantitative fectbycreatingamodelinwhichsupernovaeweredrawnex- conclusions on GRB progenitor mass from our models but clusively from the masses in therange 10<MSN <25. Al- notethatitmustalwaysbesignificantly largerthantheSN thoughthisslightlyalterstheshapeofthedistributionseen progenitor mass. in Fig. 3 it still provides an excellent agreement to the su- pernovadistribution(PKS =0.23, comparedtoPKS =0.17 for theMSN >8 distribution. ) 4.2 Implications of the results Clearly as GRBs are rare events it is possible, or even A natural explanation for the preference of GRBs to occur likely, that the progenitors follow exotic pathways to their from more massive stars is that most cc SN create neutron production. These pathways may plausibly involve binary stars, while GRBs are likely to originate from black holes. interactionsorevencollisions(whichcanbuildupevenmore Indeed,modelsimplythatthedividinglinebetweenNSand massivestars).Asthenumberofinteractionsscalesroughly BH creating supernovae occurs at around 25 M⊙ (Heger et asthe3/2 powerofthemass ofthecluster(e.g. Davies,Pi- al. 2003), in general agreement with the limits which we otto & De Angeli 2004) more massive (and hence brighter) derivehere. clusters might harbour more GRBs. We note that simply Itisimportanttonotethatwhileweherederivealimit picking GRBs where the probability of a GRB occurring is ontheGRBprogenitormassof∼>20M⊙thisdoesnotimply proportional to the mass of the cluster does not accurately that all stars above this mass will create GRBs. Indeed the reproduce the observations. It may well be that other pa- rateofformationofstarswithmainsequencemassesof>20 rameters, such as cluster core densities, are also important. M⊙ exceeds theGRB rate by roughly two orders of magni- However a full investigation of these is beyond the scope of tude.Additionaleffectsclearly reducetherateofformation thispaper. of GRBs. The most likely of these are metallicity, rotation and the presence of a hydrogen envelope. The comparative study of Fruchter et al. (2006) demonstrates that typically 5 SUMMARY GRB hosts are less luminous and smaller than those of cc AnobservationalstudybyFruchteretal.(2006)showedthat SN.ThisimpliesthatGRBhostgalaxieswillexhibitalower long duration GRBs are significantly more concentrated on global metallicity, while SN hosts are more luminous and theirhostgalaxylightthancorecollapseSNe.Inthispaper likely havehigher metallicities. wehaveusedthisresultinanattempttoputconstraintson An additional constraint for GRB production comes themassofGRBprogenitors.Inordertoconstructasimple fromrotation.GRBproductionisthoughttorequirethefor- model of a typical GRB host we used the properties of the mation of atorusabout thenascent black hole.These discs local starburst galaxy NGC 4038/39 as it would appear at can only be formed in rapidly rotating stars, and therefore aredshiftof1.Wethenspecifieddifferentminimummasses further limit the fraction of massive stars which can create of GRB/SN progenitors and studied their locations on the GRBs.Themajority ofsinglestarsrotatetooslowly onthe light of our model galaxy. We showed that the observed lo- main sequence for torus formation, and only a small frac- cations ofSNeand GRBson thelight of theirhost galaxies tion are in binaries with sufficiently small separations for can be explained if the GRB progenitors are significantly tidallockingtocreatestarswithsufficientrotationfortorus more massive than the SN progenitors. The exact value of formation (Izzard et al. 2004; Podsiadlowski et al. 2004a; theminimumGRBprogenitormassdependsontheparam- Levan,Davies & King2006). eters of our model, but for a reasonable set of parameters Finally, it should be noted that all of the SN spectro- theminimum progenitor masswas found tobesignificantly scopically associated with GRBs are of the type Ic. The lack of discernible hydrogen (orhelium) lines in thesespec- higher than 20M⊙. tra implies that the progenitor stars have lost their hydro- gen(andhelium)envelopespriortocorecollapse.Therefore, ACKNOWLEDGEMENTS evenverymassivestarscannotbeconsideredcandidatesfor GRB production if they retain significant hydrogen atmo- JL thanks Corpus Christi College, the Isaac Newton Trust spheres. andPPARCforstudentshipawards.AJLisgratefulforsup- In deriving the results above we have assumed that all portfromaPPARCpostdoctoralfellowship,andthanksthe stars with M > 8 M⊙ create core collapse supernovae, and Swedish Institute for support while visiting Lund Observa- have not attempted to differentiate between different sub- tory. MBD is a Royal Swedish Academy Research Fellow types of these (e.g. SN II (H-rich) and SN Ib/c (H-poor)). supported by a grant from the Knut and Alice Wallenberg ThisisreasonablesinceSNII’sdominatetheobserved rate. Foundation. 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