Measuring and Extrapolating the Chemical Abundances of Normal and Superluminous Core-Collapse Supernovae

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Measuring and Extrapolating the Chemical Abundances of Normal and Superluminous Core-Collapse Supernovae Measuring and Extrapolating the Chemical Abundances of Normal and Superluminous Core-Collapse Supernovae Dissertation Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the Graduate School of The Ohio State University By Rebecca A. Stoll Graduate Program in Astronomy The Ohio State University 2013 Dissertation Committee: Professor Richard W. Pogge, Advisor Professor Paul Martini Professor Todd A. Thompson Copyright by Rebecca A. Stoll 2013 Abstract We present All-Sky Automated Survey data starting 25 days before the discovery of the recent type IIn SN 2010jl, and we compare its light curve to other luminous IIn SNe, showing that it is a luminous (MI 20.5) event. Its host galaxy, ≈ − UGC 5189, has a low gas-phase oxygen abundance (12+log(O/H) = 8.2 0.1), which ± reinforces the emerging trend that over-luminous core-collapse supernovae are found in the low-metallicity tail of the galaxy distribution, similar to the known trend for the hosts of long GRBs. We compile oxygen abundances from the literature and from our own observations of UGC 5189, and we present an unpublished spectrum of the luminous type Ic SN 2010gx that we use to estimate its host metallicity. We discuss these in the context of host metallicity trends for different classes of core-collapse objects. The earliest generations of stars are known to be enhanced in [O/Fe] relative to the Solar mixture; it is therefore likely that the stellar progenitors of these overluminous supernovae are even more iron-poor than they are oxygen-poor. A number of mechanisms and massive star progenitor systems have been proposed to explain the most luminous core-collapse supernovae. Any successful theory that tries to explain these very luminous events will need to include the emerging trend that points towards low-metallicity for the massive progenitor stars. This trend for ii very luminous supernovae to strongly prefer low-metallicity galaxies should be taken into account when considering various aspects of the evolution of the metal-poor early universe, such as enrichment and reionization. Type II SNe can be used as a star formation tracer to probe the metallicity distribution of global low-redshift star formation. We present oxygen and iron abundance distributions of type II supernova progenitor regions that avoid many previous sources of bias. Because iron abundance, rather than oxygen abundance, is of key importance for the late stage evolution of the massive stars that are the progenitors of core-collapse supernovae, and because iron enrichment lags oxygen enrichment, we find a general conversion from oxygen abundance to iron abundance. The distributions we present here are the best yet observational standard of comparison for evaluating how different classes of supernovae depend on progenitor metallicity. We spectroscopically measure the gas-phase oxygen abundance near a representative subsample of the hosts of type II supernovae from the first-year Palomar Transient Factory (PTF) supernova search. The median metallicity is 12+log(O/H) = 8.65 and the median host galaxy stellar mass from fits to SDSS 9.9 photometry is 10 M⊙. They do not show a systematic offset in metallicity or mass from a redshift-matched sample of the MPA/JHU value-added catalog. In contrast to previous supernova host metallicity studies, this sample is drawn from a single survey. It is also drawn from an areal rather than a targeted survey, so supernovae in the lowest-mass galaxies are not excluded. Indeed, the PTF supernova search has iii a slight bias towards following up transients in low mass galaxies. The progenitor region metallicity distribution we find is statistically indistinguishable from the metallicity distribution of type II supernova hosts found by targeted surveys and by samples from multiple surveys with different selection functions. Using the relationship between iron and oxygen abundances found for Milky Way disk, bulge, and halo stars, we translate our distribution of type II SN environments as a function of oxygen abundance into an estimate of the iron abundance, since iron varies more steeply than oxygen. We find that though this sample spans only 0.65 dex in oxygen abundance, the gap between the iron and oxygen abundance is 50% wider at the low-metallicity end of our sample than at the high-metallicity end. We compare the host metallicity distribution of core-collapse supernovae (CCSNe) with peak absolute magnitudes brighter than 20 with the host metallicity − distribution of type II SNe from the Palomar Transient Factory first-year sample. We find that luminous CCSNe come from much more metal-poor environments than normal type II SNe; the K-S probability of the two samples being drawn from the same underlying oxygen abundance distribution is only 0.04%. Iron is a key source of opacity for massive star winds, and at lower metallicity, α-elements like oxygen are enhanced relative to iron compared to the solar mixture. The progenitors of luminous CCSNe are much poorer in iron than the progenitors of normal type II SNe, suggesting mass loss is a key factor for abnormally high luminosity. iv Dedication Dedicated to the memories of Kay Stoll and Kendra Lipinski. The world is poorer without you, Wanderer and Wonderer. v Acknowledgments Thanks to Rick Pogge for broad instrumentation trouble-shooting experience, for mentorship, for wide-ranging conversations on history, geography, politics, and literature, and for consistently making one want to strive to be a better scientist. Thanks to Paul Martini for giving us practice every week reading papers efficiently and thoroughly, talking about them cogently and concisely, and deconstructing them or haring away on interesting tangents. Thanks to Paul, Rick, Mark Derwent, Dan Pappalardo, and Tom O’Brien for taking on an instrumentation newbie and sending her on as an old hand. Thanks to Kim McLeod for the introduction to research and for insightful mentorship, even more insightful than I at the time realized. Thanks to Richard French and Mike Brotherton, for valuable mentorship and for extending opportunities when critical. Thanks to Richard C. Henry for demonstrating that astronomy was physics and therefore interesting rather than just pretty. Thanks to Kris Stanek for lessons in the cost of standing by what I know to be true. Thanks to Todd Thompson for distilling the complicated alchemy that is daily coffee into a set of clear and usually achievable guidelines, and for being one of the members of the department who most consistently brings the glee to discussions of difficult scientific problems. Thanks to Barbara Ryden for deliciously sardonic wit, history of science, vi and patiently putting up with burbling about Shakespeare or about crazy schemes for recruiting undergrads. Thanks to Andy Gould for statistical mental shortcuts, for putting us in the habit of looking at things sideways and upside down, and for a unique view of world events. Thanks to Virginia Stoll, for all which cannot be summarized, and to Carine, Amber, Sam, Kaelin, Ann, Samantha, Bethany, Sarah, Lisa, Kate, and Sondy. To the grad students and the postdocs and the guys in the lab. Many thanks to my family for everything, the smallest but latest example of which is excellent proofreading—just in time for me to correct the proofs of my latest journal article as well as the dissertation itself! You caught a number of important things the professional copy editor missed. And thanks to Mrs. Ross, partly for Hamlet and the Scottish play, but mostly because a sixth grader has no context for aptitude test scores, and doesn’t know she should advocate for herself with the school district; being put in ‘advanced math’ sounded advanced enough to an eleven-year-old. Algebra was vastly more interesting than patiently sitting through stultifyingly boring fractions again, and geometry at the high school led to free time in the middle-school library to read all the relativity books, which nurtured the interest in physics (and Orwell, which nurtured the interest in dystopia, but that’s another story entirely.) All the research shows that elementary school teachers can be key to students’ future success in (or fear of) vii mathematics, but this was really above and beyond the call of duty. Sometimes you don’t realize someone has changed your life until decades later. viii Vita September 22, 1982 . Born – Santa Clara, CA, USA 2006 . A.B. Physics, Wellesley College 2006 – 2007 . Research Scientist, University of Wyoming 2007 – 2008 .................... Graduate Teaching Associate, The Ohio State University 2008 – 2010 . Graduate Research Associate, The Ohio State University 2010 – 2011 . David G. Price Fellow in Astronomical Instrumentation, The Ohio State University 2011 – 2012 . Graduate Research Associate, The Ohio State University 2012 – 2013 . David G. Price Fellow in Astronomical Instrumentation, The Ohio State University Publications Research Publications 1. R. Stoll, P. Martini, M. A. Derwent, R. Gonzalez, T. P. O’Brien, D. P. Pappalardo, R. W. Pogge, M.-H. Wong, and R. Zhelem, “Mechanisms and instrument electronics for the Ohio State Multi-Object Spectrograph (OSMOS)”, Proc. SPIE, 7735, 154, (2010). ix 2. R. Khan, J. L. Prieto, G. Pojma´nski, K. Z. Stanek, J. F. Beacom, D. M. Szczygie l, B. Pilecki, K. Mogren, J. D. Eastman, P. Martini, and R. Stoll, “Pre-discovery and Follow-up Observations of the Nearby SN 2009nr: Implications for Prompt Type Ia Supernovae”, ApJ, 726, 106, (2011). 3. P. Martini, R. Stoll, M. A. Derwent, R. Zhelem, B. Atwood, R. Gonzalez, J. A. Mason, T. P. O’Brien, D. P. Pappalardo, R. W. Pogge, B. Ward, and M.-H. Wong, “The Ohio State Multi-Object Spectrograph”, PASP, 123, 187, (2011). 4. R. Stoll, J. L. Prieto, K. Z. Stanek, R. W. Pogge, D. M. Szczygie l, G. Pojma´nski, J.
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