2017
DOI: 10.3847/1538-4357/aa9575
|View full text |Cite
|
Sign up to set email alerts
|

Microlensing of Extremely Magnified Stars near Caustics of Galaxy Clusters

Abstract: Recent observations of lensed galaxies at cosmological distances have detected individual stars that are extremely magnified when crossing the caustics of lensing clusters. In idealized cluster lenses with smooth mass distributions, two images of a star of radius R approaching a caustic brighten as t −1/2 and reach a peak magnification ∼ 10 6 (10 R /R) 1/2 before merging on the critical curve. We show that a mass fraction (κ 10 −4.5 ) in microlenses inevitably disrupts the smooth caustic into a network of corr… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

2
121
0

Year Published

2018
2018
2024
2024

Publication Types

Select...
7
1

Relationship

2
6

Authors

Journals

citations
Cited by 71 publications
(123 citation statements)
references
References 73 publications
2
121
0
Order By: Relevance
“…Here, the O(1) evolution of the frequency in the LIGO band produces O(1) cycles of fringe patterns, which is easiest to detect. Resulting optimistic sensitivity f DM 10 −2 is comparable to or stronger than existing constraints from mircolensing [21], millilensing [23], star's caustic-crossing [36][37][38], and star-cluster survival [39] as well as various proposed searches [40,41]. The GW fringe sensitivity will further improve with longer observation time.…”
mentioning
confidence: 67%
“…Here, the O(1) evolution of the frequency in the LIGO band produces O(1) cycles of fringe patterns, which is easiest to detect. Resulting optimistic sensitivity f DM 10 −2 is comparable to or stronger than existing constraints from mircolensing [21], millilensing [23], star's caustic-crossing [36][37][38], and star-cluster survival [39] as well as various proposed searches [40,41]. The GW fringe sensitivity will further improve with longer observation time.…”
mentioning
confidence: 67%
“…Deep images at high resolution are likely to reveal star clusters and compact star-forming associates in the source galaxy. Near a caustic, their physical size l limits the maximum magnification factor µ [2 (l/D S ) |d sin α|] −1/2 /[2(1 − κ 0 )] (Venumadhav et al 2017), or µ 600 (l/pc) −1/2 in the case of Abell 370, at which the elongated image has a length ∼ 50 mas (l/pc) 1/2 . Depending on the compactness, these structures may be under-resolved or marginally resolved.…”
Section: Resultsmentioning
confidence: 99%
“…First, each macroimage is broken into a series of aligned microimages along the degenerate direction, with a typical angular spread r f θ 1/2 κ 1/4 /|d sin α| 1/2 1 mas, where θ is the Einstein radius of a microlens (Venumadhav et al 2017). This spread is not resolvable by present telescopes, so each track of microimages appears as a single macroimage.…”
Section: Microlensing By Intracluster Starsmentioning
confidence: 99%
“…However, intracluster stars introduce intermittent microlensing flux variations and micro-caustic crossings at which a pair of micro-images dominate the flux. This makes the highly magnified stars more easily identifiable from their variability, even though the maximum magnifications reached are reduced to ∼ 10 4 (Venumadhav et al 2017;Diego et al 2018;Oguri et al 2018). Flux variations of up to a factor of ten have been observed from microlensing events in the fields of MACS J1149 ) and of MACS J0416 (Chen et al 2019).…”
Section: Detectable Scales Of Surface Density Fluctuations Under Micrmentioning
confidence: 99%
“…This fold approximation is accurate when the highly magnified images are much closer to the micro-critical curve than the typical angular scale of variation of the vectord. The presence of microlenses generates a region around the macro-critical curve of the cluster lens where the micro-critical curves interact and join together, forming a network of width ∼ κ |d| −1 (Venumadhav et al 2017). Within this network, the scale of variation ofd is about the mean separation between microlenses, ∼ θ /κ 1/2 , where θ is the Einstein angular radius of each individual microlens of mass M , θ = (4 G M /D eff c 2 ) 1/2 , with D eff = D L D S /D LS .…”
Section: Micro-fold Modelmentioning
confidence: 99%