The Spectral Evolution of AT 2018dyb and the Presence of Metal Lines in Tidal Disruption Events

The Astrophysical Journal American Astronomical Society 887:2 (2019) 218

Authors:

Giorgos Leloudas, Lixin Dai, Iair Arcavi, Paul M Vreeswijk, Brenna Mockler, Rupak Roy, Daniele B Malesani, Steve Schulze, Thomas Wevers, Morgan Fraser, Enrico Ramirez-Ruiz, Katie Auchettl, Jamison Burke, Giacomo Cannizzaro, Panos Charalampopoulos, Ting-Wan Chen, Aleksandar Cikota, Massimo Della Valle, Lluis Galbany, Mariusz Gromadzki, Kasper E Heintz, Daichi Hiramatsu, Peter G Jonker, Zuzanna Kostrzewa-Rutkowska, Kate Maguire, Ilya Mandel, Matt Nicholl, Francesca Onori, Nathaniel Roth, Stephen J Smartt, Lukasz Wyrzykowski, Dave R Young

The performance of photometric reverberation mapping at high redshift and the reliability of damped random walk models

Monthly Notices of the Royal Astronomical Society Oxford University Press 492:3 (2019) 3940-3959

Authors:

MATTHEW JARVIS, SC Read, DJB Smith, MJ Jarvis, G Gürkan

Abstract:

<jats:title>ABSTRACT</jats:title> <jats:p>Accurate methods for reverberation mapping using photometry are highly sought after since they are inherently less resource intensive than spectroscopic techniques. However, the effectiveness of photometric reverberation mapping for estimating black hole masses is sparsely investigated at redshifts higher than z ≈ 0.04. Furthermore, photometric methods frequently assume a damped random walk (DRW) model, which may not be universally applicable. We perform photometric reverberation mapping using the javelin photometric DRW model for the QSO SDSS-J144645.44+625304.0 at z = 0.351 and estimate the Hβ lag of $65^{+6}_{-1}$ d and black hole mass of $10^{8.22^{+0.13}_{-0.15}}\, \mathrm{M_{\odot }}$. An analysis of the reliability of photometric reverberation mapping, conducted using many thousands of simulated CARMA process light curves, shows that we can recover the input lag to within 6 per cent on average given our target’s observed signal-to-noise of &amp;gt;20 and average cadence of 14 d (even when DRW is not applicable). Furthermore, we use our suite of simulated light curves to deconvolve aliases and artefacts from our QSO’s posterior probability distribution, increasing the signal-to-noise on the lag by a factor of ∼2.2. We exceed the signal-to-noise of the Sloan Digital Sky Survey Reverberation Mapping Project (SDSS-RM) campaign with a quarter of the observing time per object, resulting in a ∼200 per cent increase in signal-to-noise efficiency over SDSS-RM.</jats:p>

Tomographic galaxy clustering with the Subaru Hyper Suprime-Cam first year public data release

(2019)

Authors:

Andrina Nicola, David Alonso, Javier Sánchez, Anže Slosar, Humna Awan, Adam Broussard, Jo Dunkley, Zahra Gomes, Eric Gawiser, Rachel Mandelbaum, Hironao Miyatake, Jeffrey A Newman, Ignacio Sevilla, Sarah Skinner, Erica Wagoner

A detailed non-LTE analysis of LB-1: Revised parameters and surface abundances

(2019)

Authors:

S Simón-Díaz, J Maíz Apellániz, DJ Lennon, JI González Hernández, C Allende Prieto, N Castro, A de Burgos, PL Dufton, A Herrero, B Toledo-Padrón, SJ Smartt

Search for non-resonant Higgs boson pair production in the bbl nu l nu final state with the ATLAS detector in pp collisions at root s=13 TeV

Physics Letters B Elsevier 801 (2019) 135145

Authors:

M Aaboud, G Aad, B Abbott, O Abdinov, B Abeloos, Dk Abhayasinghe, Sh Abidi, Os AbouZeid, Nl Abraham, H Abramowicz, H Abreu, Y Abulaiti, Bs Acharya, S Adachi, L Adamczyk, J Adelman, M Adersberger, A Adiguzel, T Adye, Aa Affolder, Y Afik, C Agheorghiesei, Ja Aguilar-Saavedra, F Ahmadov, G Aielli, S Akatsuka, Tpa Akesson, E Akilli, Av Akimov, Gl Alberghi, J Albert, P Albicocco, MJ Alconada Verzini, S Alderweireldt, M Aleksa, In Aleksandrov, C Alexa, T Alexopoulos, M Alhroob, B Ali, G Alimonti, J Alison, Sp Alkire, C Allaire, Bmm Allbrooke, Bw Allen, Pp Allport, A Aloisio, A Alonso, F Alonso

Abstract:

A search for non-resonant Higgs boson pair production, as predicted by the Standard Model, is presented, where one of the Higgs bosons decays via the H→bb channel and the other via one of the H→WW⁎/ZZ⁎/ττ channels. The analysis selection requires events to have at least two b-tagged jets and exactly two leptons (electrons or muons) with opposite electric charge in the final state. Candidate events consistent with Higgs boson pair production are selected using a multi-class neural network discriminant. The analysis uses 139 fb−1 of pp collision data recorded at a centre-of-mass energy of 13 TeV by the ATLAS detector at the Large Hadron Collider. An observed (expected) upper limit of 1.2 (0.9−0.3+0.4) pb is set on the non-resonant Higgs boson pair production cross-section at 95% confidence level, which is equivalent to 40 (29−9+14) times the value predicted in the Standard Model.