论文标题

建立一个集群表列表,用于识别强烈镜头的超新星,引力波和Kilonovae

On building a cluster watch-list for identifying strongly lensed supernovae, gravitational waves and kilonovae

论文作者

Ryczanowski, Dan, Smith, Graham P., Bianconi, Matteo, Massey, Richard, Robertson, Andrew, Jauzac, Mathilde

论文摘要

通过在2020年代发现强烈的超新星,引力波和Kilonovae的启发,我们研究是否基于观察到的簇特性(即镜头平面选择)或强范围的背景星系(即源选择源选择)基于观察到的簇特性(即镜头平面选择)来构建簇列表。首先,我们估计存在于星系中的高红移瞬态祖细胞的比例,这些祖细胞本身太微弱,无法被发现为强镜。我们发现$ \ sim15-50 $的瞬时祖细胞居住在$ z = 1-2 $星系中,无法在达到$ {\ rm ab} \ simeq23 $的调查中检测到,例如黑暗能源调查。在深度上,这将降至$ \ ls10 $%,这将由LSST的早期数据发行($ {\ rm ab} \ simeq25 $)探索。其次,我们估计了坚固的镜头簇的比例保守的下限,由于此类图像的模糊性,幅度有限地搜索对倍数的星系和巨大弧的搜索将遗漏。我们发现类似DES的调查会错过$ \ sim75 $ 10^{15} $ m $ _ \ odot $ strong镜头簇的$ \ sim100 $ $ 10^{14} $ m $ _ $ _ \ odot $ clusters。更深入的调查(例如LSST)会错过$ \ sim40 $ $ 10^{15} $ m $ $ _ \ odot $,而$ \ sim95 $ $ 10^{14} $ 10^{14} $ m $ _ \ odot $。我们的结果激发了建立一个集群表列表,以用于强镜瞬态,其中包括镜头平面选择的瞬变。

Motivated by discovering strongly-lensed supernovae, gravitational waves, and kilonovae in the 2020s, we investigate whether to build a watch-list of clusters based on observed cluster properties (i.e. lens-plane selection) or on the detectability of strongly-lensed background galaxies (i.e. source-plane selection). First, we estimate the fraction of high-redshift transient progenitors that reside in galaxies that are themselves too faint to be detected as being strongly-lensed. We find $\sim15-50$ per cent of transient progenitors reside in $z = 1-2$ galaxies too faint to be detected in surveys that reach ${\rm AB}\simeq23$, such as the Dark Energy Survey. This falls to $\ls10$ per cent at depths that will be probed by early data releases of LSST (${\rm AB}\simeq25$). Second, we estimate a conservative lower limit on the fraction of strong lensing clusters that will be missed by magnitude limited searches for multiply-imaged galaxies and giant arcs due to the faintness of such images. We find that DES-like surveys will miss $\sim75$ per cent of $10^{15}$M$_\odot$ strong lensing clusters, rising to $\sim100$ per cent of $10^{14}$M$_\odot$ clusters. Deeper surveys, such as LSST, will miss $\sim40$ per cent at $10^{15}$M$_\odot$, and $\sim95$ per cent at $10^{14}$M$_\odot$. Our results motivate building a cluster watch-list for strongly-lensed transients that includes those found by lens-plane selection.

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