syren-halofit: A fast, interpretable, high-precision formula for the $\Lambda$CDM nonlinear matter power spectrum

(2024)

Authors:

Deaglan J Bartlett, Benjamin D Wandelt, Matteo Zennaro, Pedro G Ferreira, Harry Desmond

Searching for Strong Gravitational Lenses

Space Science Reviews Springer 220:2 (2024) 23

Authors:

Cameron Lemon, Frédéric Courbin, Anupreeta More, Paul Schechter, Raoul Cañameras, Ludovic Delchambre, Calvin Leung, Yiping Shu, Chiara Spiniello, Yashar Hezaveh, Jonas Klüter, Richard McMahon

Abstract:

Abstract Strong gravitational lenses provide unique laboratories for cosmological and astrophysical investigations, but they must first be discovered – a task that can be met with significant contamination by other astrophysical objects and asterisms. Here we review strong lens searches, covering various sources (quasars, galaxies, supernovae, FRBs, GRBs, and GWs), lenses (early- and late-type galaxies, groups, and clusters), datasets (imaging, spectra, and lightcurves), and wavelengths. We first present the physical characteristics of the lens and source populations, highlighting relevant details for constructing targeted searches. Search techniques are described based on the main lensing feature that is required for the technique to work, namely one of: (i) an associated magnification, (ii) multiple spatially-resolved images, (iii) multiple redshifts, or (iv) a non-zero time delay between images. To use the current lens samples for science, and for the design of future searches, we list several selection biases that exist due to these discovery techniques. We conclude by discussing the future of lens searches in upcoming surveys and the new population of lenses that will be discovered.

The Weird and the Wonderful in Our Solar System: Searching for Serendipity in the Legacy Survey of Space and Time

The Astronomical Journal, 167:118 (14pp), 2024 March

Authors:

Brian Rogers, Chris J. Lintott, Steve Croft, Megan E. Schwamb , and James R. A. Davenport

Abstract:

We present a novel method for anomaly detection in solar system object data in preparation for the Legacy Survey of Space and Time. We train a deep autoencoder for anomaly detection and use the learned latent space to search for other interesting objects. We demonstrate the efficacy of the autoencoder approach by finding interesting examples, such as interstellar objects, and show that by using the autoencoder, further examples of interesting classes can be found. We also investigate the limits of classic unsupervised approaches to anomaly detection through the generation of synthetic anomalies and evaluate the feasibility of using a supervised learning approach. Future work should consider expanding the feature space to increase the variety of anomalies that can be uncovered during the survey using an autoencoder.

The JWST Advanced Deep Extragalactic Survey: Discovery of an Extreme Galaxy Overdensity at z = 5.4 with JWST/NIRCam in GOODS-S

The Astrophysical Journal American Astronomical Society 962:2 (2024) 124-124

Authors:

Jakob M Helton, Fengwu Sun, Charity Woodrum, Kevin N Hainline, Christopher NA Willmer, George H Rieke, Marcia J Rieke, Sandro Tacchella, Brant Robertson, Benjamin D Johnson, Stacey Alberts, Daniel J Eisenstein, Ryan Hausen, Nina R Bonaventura, Andrew Bunker, Stephane Charlot, Mirko Curti, Emma Curtis-Lake, Tobias J Looser, Roberto Maiolino, Chris Willott, Joris Witstok, Kristan Boyett, Zuyi Chen, Eiichi Egami

Abstract:

© 2024 The Author(s). Published by the American Astronomical Society. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY), https://creativecommons.org/licenses/by/4.0/We report the discovery of an extreme galaxy overdensity at $z = 5.4$ in the GOODS-S field using JWST/NIRCam imaging from JADES and JEMS alongside JWST/NIRCam wide field slitless spectroscopy from FRESCO. We identified potential members of the overdensity using HST+JWST photometry spanning $\lambda = 0.4-5.0\ \mu\mathrm{m}$. These data provide accurate and well-constrained photometric redshifts down to $m \approx 29-30\,\mathrm{mag}$. We subsequently confirmed $N = 81$ galaxies at $5.2 < z < 5.5$ using JWST slitless spectroscopy over $\lambda = 3.9-5.0\ \mu\mathrm{m}$ through a targeted line search for $\mathrm{H} \alpha$ around the best-fit photometric redshift. We verified that $N = 42$ of these galaxies reside in the field while $N = 39$ galaxies reside in a density around $\sim 10$ times that of a random volume. Stellar populations for these galaxies were inferred from the photometry and used to construct the star-forming main sequence, where protocluster members appeared more massive and exhibited earlier star formation (and thus older stellar populations) when compared to their field galaxy counterparts. We estimate the total halo mass of this large-scale structure to be $12.6 \lesssim \mathrm{log}_{10} \left( M_{\mathrm{halo}}/M_{\odot} \right) \lesssim 12.8$ using an empirical stellar mass to halo mass relation, which is likely an underestimate as a result of incompleteness. Our discovery demonstrates the power of JWST at constraining dark matter halo assembly and galaxy formation at very early cosmic times.Peer reviewe

A new census of dust and polycyclic aromatic hydrocarbons at z=0.7-2 with JWST MIRI

(2024)

Authors:

Irene Shivaei, Stacey Alberts, Michael Florian, George Rieke, Stijn Wuyts, Sarah Bodansky, Andrew J Bunker, Alex J Cameron, Mirko Curti, Francesco D'Eugenio, Ugne Dudzeviciute, Ivan Kramarenko, Zhiyuan Ji, Benjamin D Johnson, Jianwei Lyu, Jorryt Matthee, Jane Morrison, Rohan Naidu, Naveen Reddy, Brant Robertson, Pablo G Pérez-González, Yang Sun, Sandro Tacchella, Katherine Whitaker, Christina C Williams, Christopher NA Willmer, Joris Witstok, Mengyuan Xiao, Yongda Zhu