Publication

Statistics of mass substructure from strong gravitational lensing: quantifying the mass fraction and mass function

Vegetti, S. & Koopmans, L. V. E., 11-Dec-2009, In : Monthly Notices of the Royal Astronomical Society. 400, 3, p. 1583-1592 10 p.

Research output: Contribution to journalArticleAcademicpeer-review

APA

Vegetti, S., & Koopmans, L. V. E. (2009). Statistics of mass substructure from strong gravitational lensing: quantifying the mass fraction and mass function. Monthly Notices of the Royal Astronomical Society, 400(3), 1583-1592. https://doi.org/10.1111/j.1365-2966.2009.15559.x

Author

Vegetti, Simona ; Koopmans, L. V. E. / Statistics of mass substructure from strong gravitational lensing : quantifying the mass fraction and mass function. In: Monthly Notices of the Royal Astronomical Society. 2009 ; Vol. 400, No. 3. pp. 1583-1592.

Harvard

Vegetti, S & Koopmans, LVE 2009, 'Statistics of mass substructure from strong gravitational lensing: quantifying the mass fraction and mass function', Monthly Notices of the Royal Astronomical Society, vol. 400, no. 3, pp. 1583-1592. https://doi.org/10.1111/j.1365-2966.2009.15559.x

Standard

Statistics of mass substructure from strong gravitational lensing : quantifying the mass fraction and mass function. / Vegetti, Simona; Koopmans, L. V. E.

In: Monthly Notices of the Royal Astronomical Society, Vol. 400, No. 3, 11.12.2009, p. 1583-1592.

Research output: Contribution to journalArticleAcademicpeer-review

Vancouver

Vegetti S, Koopmans LVE. Statistics of mass substructure from strong gravitational lensing: quantifying the mass fraction and mass function. Monthly Notices of the Royal Astronomical Society. 2009 Dec 11;400(3):1583-1592. https://doi.org/10.1111/j.1365-2966.2009.15559.x


BibTeX

@article{d9121296f2a5423a89a40ba5b8af3d2c,
title = "Statistics of mass substructure from strong gravitational lensing: quantifying the mass fraction and mass function",
abstract = "A Bayesian statistical formalism is developed to quantify the level at which the mass function (dN/dm proportional to m-alpha) and the projected cumulative mass fraction (f) of [cold dark matter (CDM)] substructure in strong gravitational lens galaxies, with arcs or Einstein rings, can be recovered as function of the lens survey parameters and the detection threshold of the substructure mass. The method is applied to different sets of mock data to explore a range of observational limits: (i) the number of lens galaxies in the survey; (ii) the mass threshold, M(low), for the detection of substructures and (iii) the uncertainty of the measured substructure masses. We explore two different priors on the mass function slope: a uniform prior and a Gaussian prior with alpha = 1.90 +/- 0.1. With a substructure detection threshold M(low) = 3 x 108 M(circle dot), the number of lenses available now (n(l) = 30), a true dark matter mass fraction in (CDM) substructure <1.0 per cent and a prior of alpha = 1.90 +/- 0.1, we find that the upper limit of f can be constrained down to a level <1.0 per cent [95 per cent confidence level (CL)]. In the case of a uniform prior, the complete substructure mass distribution (i.e. mass fraction and slope) can only be characterized in a number of favourable cases with a large number of detected substructures. This can be achieved by an increase of the resolution and the signal-to-noise ratio of the lensed images. In the case of a Gaussian prior on alpha, instead, it is always possible to set stringent constraints on both parameters. We also find that lowering the detection threshold has the largest impact on the ability to recover alpha, because of the (expected) steep mass function slope. In the future, thanks to new surveys with telescopes, such as Square Kilometre Array (SKA), Large Synoptic Survey Telescope (LSST) and Joint Dark Energy Mission (JDEM) and follow-up telescopes with high-fidelity data, a significant increase in the number of known lenses (i.e. 104) will allow us to recover the satellite population in its completeness. For example, a sample of 200 lenses, equivalent in data quality to the Sloan Lens ACS Survey and a detection threshold of 108 M(circle dot), allows one to determine f = 0.5 +/- 0.1 per cent (68 per cent CL) and alpha = 1.90 +/- 0.2 (68 per cent CL).",
keywords = "gravitational lensing, methods: statistical, galaxies: haloes, galaxies: structure, dark matter, COLD DARK-MATTER, MILKY-WAY SATELLITE, EARLY-TYPE GALAXIES, DWARF SPHEROIDAL SATELLITE, ACS SURVEY, URSA-MAJOR, DISCOVERY, ANDROMEDA, HALO, FAINT",
author = "Simona Vegetti and Koopmans, {L. V. E.}",
year = "2009",
month = dec,
day = "11",
doi = "10.1111/j.1365-2966.2009.15559.x",
language = "English",
volume = "400",
pages = "1583--1592",
journal = "Monthly Notices of the Royal Astronomical Society",
issn = "0035-8711",
publisher = "Oxford University Press",
number = "3",

}

RIS

TY - JOUR

T1 - Statistics of mass substructure from strong gravitational lensing

T2 - quantifying the mass fraction and mass function

AU - Vegetti, Simona

AU - Koopmans, L. V. E.

PY - 2009/12/11

Y1 - 2009/12/11

N2 - A Bayesian statistical formalism is developed to quantify the level at which the mass function (dN/dm proportional to m-alpha) and the projected cumulative mass fraction (f) of [cold dark matter (CDM)] substructure in strong gravitational lens galaxies, with arcs or Einstein rings, can be recovered as function of the lens survey parameters and the detection threshold of the substructure mass. The method is applied to different sets of mock data to explore a range of observational limits: (i) the number of lens galaxies in the survey; (ii) the mass threshold, M(low), for the detection of substructures and (iii) the uncertainty of the measured substructure masses. We explore two different priors on the mass function slope: a uniform prior and a Gaussian prior with alpha = 1.90 +/- 0.1. With a substructure detection threshold M(low) = 3 x 108 M(circle dot), the number of lenses available now (n(l) = 30), a true dark matter mass fraction in (CDM) substructure <1.0 per cent and a prior of alpha = 1.90 +/- 0.1, we find that the upper limit of f can be constrained down to a level <1.0 per cent [95 per cent confidence level (CL)]. In the case of a uniform prior, the complete substructure mass distribution (i.e. mass fraction and slope) can only be characterized in a number of favourable cases with a large number of detected substructures. This can be achieved by an increase of the resolution and the signal-to-noise ratio of the lensed images. In the case of a Gaussian prior on alpha, instead, it is always possible to set stringent constraints on both parameters. We also find that lowering the detection threshold has the largest impact on the ability to recover alpha, because of the (expected) steep mass function slope. In the future, thanks to new surveys with telescopes, such as Square Kilometre Array (SKA), Large Synoptic Survey Telescope (LSST) and Joint Dark Energy Mission (JDEM) and follow-up telescopes with high-fidelity data, a significant increase in the number of known lenses (i.e. 104) will allow us to recover the satellite population in its completeness. For example, a sample of 200 lenses, equivalent in data quality to the Sloan Lens ACS Survey and a detection threshold of 108 M(circle dot), allows one to determine f = 0.5 +/- 0.1 per cent (68 per cent CL) and alpha = 1.90 +/- 0.2 (68 per cent CL).

AB - A Bayesian statistical formalism is developed to quantify the level at which the mass function (dN/dm proportional to m-alpha) and the projected cumulative mass fraction (f) of [cold dark matter (CDM)] substructure in strong gravitational lens galaxies, with arcs or Einstein rings, can be recovered as function of the lens survey parameters and the detection threshold of the substructure mass. The method is applied to different sets of mock data to explore a range of observational limits: (i) the number of lens galaxies in the survey; (ii) the mass threshold, M(low), for the detection of substructures and (iii) the uncertainty of the measured substructure masses. We explore two different priors on the mass function slope: a uniform prior and a Gaussian prior with alpha = 1.90 +/- 0.1. With a substructure detection threshold M(low) = 3 x 108 M(circle dot), the number of lenses available now (n(l) = 30), a true dark matter mass fraction in (CDM) substructure <1.0 per cent and a prior of alpha = 1.90 +/- 0.1, we find that the upper limit of f can be constrained down to a level <1.0 per cent [95 per cent confidence level (CL)]. In the case of a uniform prior, the complete substructure mass distribution (i.e. mass fraction and slope) can only be characterized in a number of favourable cases with a large number of detected substructures. This can be achieved by an increase of the resolution and the signal-to-noise ratio of the lensed images. In the case of a Gaussian prior on alpha, instead, it is always possible to set stringent constraints on both parameters. We also find that lowering the detection threshold has the largest impact on the ability to recover alpha, because of the (expected) steep mass function slope. In the future, thanks to new surveys with telescopes, such as Square Kilometre Array (SKA), Large Synoptic Survey Telescope (LSST) and Joint Dark Energy Mission (JDEM) and follow-up telescopes with high-fidelity data, a significant increase in the number of known lenses (i.e. 104) will allow us to recover the satellite population in its completeness. For example, a sample of 200 lenses, equivalent in data quality to the Sloan Lens ACS Survey and a detection threshold of 108 M(circle dot), allows one to determine f = 0.5 +/- 0.1 per cent (68 per cent CL) and alpha = 1.90 +/- 0.2 (68 per cent CL).

KW - gravitational lensing

KW - methods: statistical

KW - galaxies: haloes

KW - galaxies: structure

KW - dark matter

KW - COLD DARK-MATTER

KW - MILKY-WAY SATELLITE

KW - EARLY-TYPE GALAXIES

KW - DWARF SPHEROIDAL SATELLITE

KW - ACS SURVEY

KW - URSA-MAJOR

KW - DISCOVERY

KW - ANDROMEDA

KW - HALO

KW - FAINT

U2 - 10.1111/j.1365-2966.2009.15559.x

DO - 10.1111/j.1365-2966.2009.15559.x

M3 - Article

VL - 400

SP - 1583

EP - 1592

JO - Monthly Notices of the Royal Astronomical Society

JF - Monthly Notices of the Royal Astronomical Society

SN - 0035-8711

IS - 3

ER -

ID: 4992852