Outputs (12)

Abell 1201: detection of an ultramassive black hole in a strong gravitational lens (2023)
Journal Article
Nightingale, J., Smith, R. J., He, Q., O’Riordan, C. M., Kegerreis, J. A., Amvrosiadis, A., Edge, A. C., Etherington, A., Hayes, R. G., Kelly, A., Lucey, J. R., & Massey, R. J. (2023). Abell 1201: detection of an ultramassive black hole in a strong gravitational lens. Monthly Notices of the Royal Astronomical Society, 521(3), 3298-3322. https://doi.org/10.1093/mnras/stad587

Supermassive black holes (SMBHs) are a key catalyst of galaxy formation and evolution, leading to an observed correlation between SMBH mass MBH and host galaxy velocity dispersion σe. Outside the local Universe, measurements of MBH are usually only p... Read More about Abell 1201: detection of an ultramassive black hole in a strong gravitational lens.

PyAutoGalaxy: Open-Source Multiwavelength Galaxy Structure & Morphology (2023)
Journal Article
Nightingale, J. W., Amvrosiadis, A., Hayes, R. G., He, Q., Etherington, A., Cao, X., Cole, S., Frawley, J., Frenk, C. S., Lange, S., Li, R., Massey, R. J., Negrello, M., & Robertson, A. (2023). PyAutoGalaxy: Open-Source Multiwavelength Galaxy Structure & Morphology. The Journal of Open Source Software, 8(81), Article 4475. https://doi.org/10.21105/joss.04475

Nearly a century ago, Edwin Hubble famously classified galaxies into three distinct groups: ellipticals, spirals and irregulars (Hubble, 1926). Today, by analysing millions of galaxies with advanced image processing techniques Astronomers have expand... Read More about PyAutoGalaxy: Open-Source Multiwavelength Galaxy Structure & Morphology.

Testing strong lensing subhalo detection with a cosmological simulation (2022)
Journal Article
He, Q., Nightingale, J., Robertson, A., Amvrosiadis, A., Cole, S., Frenk, C. S., Massey, R., Li, R., Amorisco, N. C., Metcalf, R. B., Cao, X., & Etherington, A. (2023). Testing strong lensing subhalo detection with a cosmological simulation. Monthly Notices of the Royal Astronomical Society, 518(1), 220-239. https://doi.org/10.1093/mnras/stac2779

Strong gravitational lensing offers a compelling test of the cold dark matter paradigm, as it allows for subhaloes with masses of ∼109 M⊙ and below to be detected. We test commonly-used techniques for detecting subhaloes superposed in images of stron... Read More about Testing strong lensing subhalo detection with a cosmological simulation.

Automated galaxy-galaxy strong lens modelling: No lens left behind (2022)
Journal Article
Etherington, A., Nightingale, J. W., Massey, R., Cao, X., Robertson, A., Amorisco, N. C., Amvrosiadis, A., Cole, S., Frenk, C. S., He, Q., Li, R., & Tam, S.-I. (2022). Automated galaxy-galaxy strong lens modelling: No lens left behind. Monthly Notices of the Royal Astronomical Society, 517(3), 3275-3302. https://doi.org/10.1093/mnras/stac2639

The distribution of dark and luminous matter can be mapped around galaxies that gravitationally lens background objects into arcs or Einstein rings. New surveys will soon observe hundreds of thousands of galaxy lenses, and current, labour-intensive a... Read More about Automated galaxy-galaxy strong lens modelling: No lens left behind.

Galaxy–galaxy strong lens perturbations: line-of-sight haloes versus lens subhaloes (2022)
Journal Article
He, Q., Li, R., Frenk, C. S., Nightingale, J., Cole, S., Amorisco, N. C., Massey, R., Robertson, A., Etherington, A., Amvrosiadis, A., & Cao, X. (2022). Galaxy–galaxy strong lens perturbations: line-of-sight haloes versus lens subhaloes. Monthly Notices of the Royal Astronomical Society, 512(4), 5862-5873. https://doi.org/10.1093/mnras/stac759

We rederive the number density of intervening line-of-sight haloes relative to lens subhaloes in galaxy-galaxy strong lensing observations, where these perturbers can generate detectable image fluctuations. Previous studies have calculated the detect... Read More about Galaxy–galaxy strong lens perturbations: line-of-sight haloes versus lens subhaloes.

Systematic Errors Induced by the Elliptical Power-law model in Galaxy–Galaxy Strong Lens Modeling (2022)
Journal Article
Cao, X., Li, R., Nightingale, J., Massey, R., Robertson, A., Frenk, C. S., Amvrosiadis, A., Amorisco, N. C., He, Q., Etherington, A., Cole, S., & Zhu, K. (2022). Systematic Errors Induced by the Elliptical Power-law model in Galaxy–Galaxy Strong Lens Modeling. Research in Astronomy and Astrophysics, 22(2), https://doi.org/10.1088/1674-4527/ac3f2b

The elliptical power-law (EPL) model of the mass in a galaxy is widely used in strong gravitational lensing analyses. However, the distribution of mass in real galaxies is more complex. We quantify the biases due to this model mismatch by simulating... Read More about Systematic Errors Induced by the Elliptical Power-law model in Galaxy–Galaxy Strong Lens Modeling.

Euclid preparation XIII. Forecasts for galaxy morphology with the Euclid Survey using deep generative models (2022)
Journal Article
Bretonnière, H., Huertas-Company, M., Boucaud, A., Lanusse, F., Jullo, E., Merlin, E., Tuccillo, D., Castellano, M., Brinchmann, J., Conselice, C., Dole, H., Cabanac, R., Courtois, H., Castander, F., Duc, P., Fosalba, P., Guinet, D., Kruk, S., Kuchner, U., Serrano, S., …Knapen, J. (2022). Euclid preparation XIII. Forecasts for galaxy morphology with the Euclid Survey using deep generative models. Astronomy & Astrophysics, 657, Article A90. https://doi.org/10.1051/0004-6361/202141393

We present a machine learning framework to simulate realistic galaxies for the Euclid Survey, producing more complex and realistic galaxies than the analytical simulations currently used in Euclid. The proposed method combines a control on galaxy sha... Read More about Euclid preparation XIII. Forecasts for galaxy morphology with the Euclid Survey using deep generative models.

A forward-modelling method to infer the dark matter particle mass from strong gravitational lenses (2022)
Journal Article
He, Q., Robertson, A., Nightingale, J., Cole, S., Frenk, C. S., Massey, R., Amvrosiadis, A., Li, R., Cao, X., & Etherington, A. (2022). A forward-modelling method to infer the dark matter particle mass from strong gravitational lenses. Monthly Notices of the Royal Astronomical Society, 511(2), 3046-3062. https://doi.org/10.1093/mnras/stac191

A fundamental prediction of the cold dark matter (CDM) model of structure formation is the existence of a vast population of dark matter haloes extending to subsolar masses. By contrast, other dark matter models, such as a warm thermal relic (WDM), p... Read More about A forward-modelling method to infer the dark matter particle mass from strong gravitational lenses.

Euclid preparation XV. Forecasting cosmological constraints for the Euclid and CMB joint analysis (2022)
Journal Article
Ilić, S., Aghanim, N., Baccigalupi, C., Bermejo-Climent, J., Fabbian, G., Legrand, L., Paoletti, D., Ballardini, M., Archidiacono, M., Douspis, M., Finelli, F., Ganga, K., Hernández-Monteagudo, C., Lattanzi, M., Marinucci, D., Migliaccio, M., Carbone, C., Casas, S., Martinelli, M., Tutusaus, I., …Zucca, E. (2022). Euclid preparation XV. Forecasting cosmological constraints for the Euclid and CMB joint analysis. Astronomy & Astrophysics, 657, Article A91. https://doi.org/10.1051/0004-6361/202141556

The combination and cross-correlation of the upcoming Euclid data with cosmic microwave background (CMB) measurements is a source of great expectation since it will provide the largest lever arm of epochs, ranging from recombination to structure form... Read More about Euclid preparation XV. Forecasting cosmological constraints for the Euclid and CMB joint analysis.

Halo concentration strengthens dark matter constraints in galaxy-galaxy strong lensing analyses (2021)
Journal Article
Amorisco, N. C., Nightingale, J., He, Q., Amvrosiadis, A., Cao, X., Cole, S., Etherington, A., Frenk, C. S., Li, R., Massey, R., & Robertson, A. (2022). Halo concentration strengthens dark matter constraints in galaxy-galaxy strong lensing analyses. Monthly Notices of the Royal Astronomical Society, 510, 2464-2479. https://doi.org/10.1093/mnras/stab3527

A defining prediction of the cold dark matter cosmological model is the existence of a very large population of low-mass haloes. This population is absent in models in which the dark matter particle is warm (WDM). These alternatives can, in principle... Read More about Halo concentration strengthens dark matter constraints in galaxy-galaxy strong lensing analyses.

Euclid preparation: XII. Optimizing the photometric sample of the Euclid survey for galaxy clustering and galaxy-galaxy lensing analyses (2021)
Journal Article
Pocino, A., Tutusaus, I., Castander, F., Fosalba, P., Crocce, M., Porredon, A., Camera, S., Cardone, V., Casas, S., Kitching, T., Lacasa, F., Martinelli, M., Pourtsidou, A., Sakr, Z., Andreon, S., Auricchio, N., Baccigalupi, C., Balaguera-Antolínez, A., Baldi, M., Balestra, A., …Zucca, E. (2021). Euclid preparation: XII. Optimizing the photometric sample of the Euclid survey for galaxy clustering and galaxy-galaxy lensing analyses. Astronomy & Astrophysics, 655, Article A44. https://doi.org/10.1051/0004-6361/202141061

Photometric redshifts (photo-zs) are one of the main ingredients in the analysis of cosmological probes. Their accuracy particularly affects the results of the analyses of galaxy clustering with photometrically selected galaxies (GCph) and weak lensi... Read More about Euclid preparation: XII. Optimizing the photometric sample of the Euclid survey for galaxy clustering and galaxy-galaxy lensing analyses.

PyAutoLens: Open-Source Strong Gravitational Lensing (2021)
Journal Article
Nightingale, J., Hayes, R., Kelly, A., Amvrosiadis, A., Etherington, A., He, Q., Li, N., Cao, X., Frawley, J., Cole, S., Enia, A., Frenk, C., Harvey, D., Li, R., Massey, R., Negrello, M., & Robertson, A. (2021). PyAutoLens: Open-Source Strong Gravitational Lensing. The Journal of Open Source Software, 6(58), Article 2825. https://doi.org/10.21105/joss.02825

Strong gravitational lensing, which can make a background source galaxy appears multiple times due to its light rays being deflected by the mass of one or more foreground lens galaxies, provides astronomers with a powerful tool to study dark matter,... Read More about PyAutoLens: Open-Source Strong Gravitational Lensing.