The energetics of starburst-driven outflows at z ∼ 1 from KMOS

Monthly Notices of the Royal Astronomical Society Oxford University Press 487:1 (2019) 381-393

Authors:

AM Swinbank, CM Harrison, AL Tiley, HL Johnson, I Smail, JP Stott, PN Best, RG Bower, Martin Bureau, A Bunker, M Cirasuolo, M Jarvis, GE Magdis, RM Sharples, D Sobral

Abstract:

We present an analysis of the gas outflow energetics from KMOS observations of ∼ 529 main-sequence star-forming galaxies at z ∼ 1 using broad, underlying H α and forbidden lines of [N II] and [S II]. Based on the stacked spectra for a sample with median star-formation rates and stellar masses of SFR = 7 M⊙   yr−1 and M⋆ = (1.0 ± 0.1) × 1010 M⊙, respectively, we derive a typical mass outflow rate of M˙wind = 1–4 M⊙ yr−1 and a mass loading of M˙wind / SFR = 0.2–0.4. By comparing the kinetic energy in the wind with the energy released by supernovae, we estimate a coupling efficiency between the star formation and wind energetics of ϵ ∼  0.03. The mass loading of the wind does not show a strong trend with star-formation rate over the range ∼ 2–20 M⊙ yr−1, although we identify a trend with stellar mass such that dM / dt / SFR ∝ M0.26±0.07⋆⁠. Finally, the line width of the broad H α increases with disc circular velocity with a sub-linear scaling relation FWHMbroad ∝ v0.21 ± 0.05. As a result of this behaviour, in the lowest mass galaxies (M⋆ ≲ 1010 M⊙), a significant fraction of the outflowing gas should have sufficient velocity to escape the gravitational potential of the halo whilst in the highest mass galaxies (M⋆ ≳ 1010 M⊙) most of the gas will be retained, flowing back on to the galaxy disc at later times.

New Horizon: On the origin of the stellar disk and spheroid of field galaxies at $z=0.7$

(2019)

Authors:

Min-Jung Park, Sukyoung K Yi, Yohan Dubois, Christophe Pichon, Taysun Kimm, Julien Devriendt, Hoseung Choi, Marta Volonteri, Sugata Kaviraj, Sebastien Peirani

From top-hat masking to smooth transitions: P-filter and its application to polarized microwave sky maps

Journal of Cosmology and Astroparticle Physics IOP Publishing 2019:05 (2019) 003-003

Authors:

Hao Liu, James Creswell, Sebastian von Hausegger, Pavel Naselsky

Group connectivity in COSMOS: a tracer of mass assembly history

(2019)

Authors:

E Darragh-Ford, C Laigle, G Gozaliasl, C Pichon, J Devriendt, A Slyz, S Arnouts, Y Dubois, A Finoguenov, R Griffiths, K Kraljic, H Pan, S Peirani, F Sarron

Consistent cosmic shear in the face of systematics: a B-mode analysis of KiDS-450, DES-SV and CFHTLenS

Astronomy and Astrophysics: a European journal EDP Sciences (2019)

Authors:

C Heymans, M Asgari, LANCE Miller, H Hildebrandt, P Schneider, A Amon, A Choi, T Erben, J Harnois-Deraps, C Georgiou, K Kuijken

Abstract:

We analyse three public cosmic shear surveys; the Kilo-Degree Survey (KiDS-450), the Dark Energy Survey (DES-SV) and the Canada France Hawaii Telescope Lensing Survey (CFHTLenS). Adopting the COSEBIs statistic to cleanly and completely separate the lensing E-modes from the non-lensing B-modes, we detect B-modes in KiDS-450 and CFHTLenS at the level of about 2.7 $\sigma$. For DES- SV we detect B-modes at the level of 2.8 $\sigma$ in a non-tomographic analysis, increasing to a 5.5 $\sigma$ B-mode detection in a tomographic analysis. In order to understand the origin of these detected B-modes we measure the B-mode signature of a range of different simulated systematics including PSF leakage, random but correlated PSF modelling errors, camera-based additive shear bias and photometric redshift selection bias. We show that any correlation between photometric-noise and the relative orientation of the galaxy to the point-spread-function leads to an ellipticity selection bias in tomographic analyses. This work therefore introduces a new systematic for future lensing surveys to consider. We find that the B-modes in DES-SV appear similar to a superposition of the B-mode signatures from all of the systematics simulated. The KiDS-450 and CFHTLenS B-mode measurements show features that are consistent with a repeating additive shear bias.