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DECIPHERING THE COSMIC STAR FORMATION HISTORY AND THE NATURE OF TYPE Ia SUPERNOVAE WITH FUTURE SUPERNOVA SURVEYS

机译:利用未来的超新星观测来解释宇宙星的形成历史和Ia型超新星的性质

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摘要

We investigate the prospects of future supernova searches getting meaningful constraints on the cosmic star formation history (CSFH) and the delay time of Type Ia supernovae from star formation (τ_(Ia)), based only on supernova data. Here we parameterized the CSFH by two parameters, α and β, which are the evolutionary indices [∝ (1 + z)~({α,β})] at z approx> 1 and approx< 1, respectively, and quantitatively examined how well the three parameters (α, β, and τ_(Ia)) can be constrained in ongoing and future supernova surveys. We found that the type classification of detected supernovae down to the magnitude of I_(AB) ~ 27 is essential for getting a useful constraint on β. The parameter τ_(Ia) can also be constrained to within an accuracy of ~ 1 -2 Gyr without knowing α, which is somewhat degenerate with τ_(Ia). This might be achieved by ground-based surveys but depends on the still highly uncertain type classification by imaging data. More reliable classification will be achieved by the SNAP mission. The supernova counts at a magnitude level of I_(AB) or K_(AB) ~ 30 will allow us to break degeneracies between α and τ_(Ia) and independently constrain all three parameters, even without knowing supernova types. This can be achieved by the SNAP and JWST missions, which have the different strengths of larger statistics and reaching to higher redshifts, respectively. The dependence of observable quantities on survey time intervals is also quantitatively calculated and discussed.
机译:仅基于超新星数据,我们调查了未来超新星搜索的前景,这些搜索对宇宙恒星形成历史(CSFH)和Ia型超新星从恒星形成的延迟时间(τ_(Ia))产生了有意义的约束。在这里,我们通过两个参数α和β来对CSFH进行参数化,这两个参数分别是z大约> 1和大约<1时的演化指数[∝(1 + z)〜({α,β})],并定量研究了而且三个参数(α,β和τ_(Ia))可以在正在进行的和将来的超新星调查中受到约束。我们发现,探测到的超新星的类型分类低至I_(AB)〜27,对于获得对β的有用约束至关重要。也可以在不知道α的情况下将参数τ_(Ia)限制在〜1 -2 Gyr的精度内,而α随τ_(Ia)退化。这可以通过基于地面的调查来实现,但取决于仍然非常不确定的成像数据类型分类。 SNAP任务将实现更可靠的分类。在I_(AB)或K_(AB)〜30的数量级上的超新星计数将使我们能够打破α和τ_(Ia)之间的简并性,并独立地约束所有三个参数,即使不知道超新星的类型。这可以通过SNAP和JWST任务来实现,它们分别具有较大的统计量和达到较高的红移的不同优势。还定量计算和讨论了可观察量对调查时间间隔的依赖性。

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