The SOXS data-reduction pipeline

Proceedings of SPIE--the International Society for Optical Engineering SPIE, the international society for optics and photonics 11452 (2020) 114522d-114522d-15

Authors:

David R Young, Marco Landoni, Stephen J Smartt, Sergio Campana, Riccardo Claudi, Pietro Schipani, Matteo Aliverti, Andrea Baruffolo, Sagi Ben-Ami, Federico Biondi, Giulio Capasso, Rosario Cosentino, Francesco D'Alessio, Paolo D'Avanzo, Ofir Hershko, Hanindyo Kuncarayakti, Matteo Munari, Giuliano Pignata, Adam Rubin, Salvatore Scuderi, Fabrizio Vitali, Jani Achrén, José Antonio Araiza-Duran, Iair Arcavi, Anna Brucalassi, Rachel Bruch, Enrico Cappellaro, Mirko Colapietro, Massimo Della Valle, Marco De Pascale, Rosario Di Benedetto, Sergio D'Orsi, Avishay Gal-Yam, Matteo Genoni, Marcos Hernandez, Jari Kotilainen, Gianluca Li Causi, Seppo Mattila, Michael Rappaport, Kalyan Radhakrishnan, Davide Ricci, Marco Riva, Bernardo Salasnich, Ricardo Zanmar Sanchez, Maximilian Stritzinger, Héctor Ventura

The development status of the NIR Arm of the new SoXS instrument at the ESO/NTT telescope

SPIE, the international society for optics and photonics (2020) 90

Authors:

Fabrizio Vitali, Matteo Aliverti, Giulio Capasso, Francesco D'Alessio, Matteo Munari, Marco Riva, Salvatore Scuderi, Ricardo Zánmar Sánchez, Sergio Campana, Pietro Schipani, Riccardo Claudi, Andrea Baruffolo, Sagi Ben-Ami, Federico Biondi, Anna Brucalassi, Rosario Cosentino, Davide Ricci, Paolo D'Avanzo, Hanindyo Kuncarayakti, Adam Rubin, Jani M Achrén, José Antonio Araiza-Durán, Iair Arcavi, Andrea Bianco, Rachel Bruch, Enrico Cappellaro, Mirko Colapietro, Massimo Della Valle, Marco De Pascale, Rosario Di Benedetto, Sergio D'Orsi, Daniela Fantinel, Avishay Gal-Yam, Matteo Genoni, Marcos Hernandez Diaz, Ofir Hershko, Jari Kotilainen, Marco Landoni, Gianluca Li Causi, Seppo Mattila, Giuliano Pignata, Kalyan Radhakrishnan, Michael Rappaport, Bernardo Salasnich, Stephen Smartt, Maximilian Stritzinger, Héctor Pérez Ventura, David Young

Automation and control of laser wakefield accelerators using Bayesian optimization

Nature Communications Nature Research 11:1 (2020) 6355

Authors:

Rj Shalloo, Sjd Dann, J-N Gruse, Cid Underwood, Af Antoine, C Arran, M Backhouse, Cd Baird, Md Balcazar, N Bourgeois, Ja Cardarelli, Peter Hatfield, J Kang, K Krushelnick, Spd Mangles, Cd Murphy, N Lu, J Osterhoff, K Põder, Pp Rajeev, Cp Ridgers, S Rozario, Mp Selwood, Aj Shahani, Dr Symes, Agr Thomas, C Thornton, Z Najmudin, Mjv Streeter

Abstract:

Laser wakefield accelerators promise to revolutionize many areas of accelerator science. However, one of the greatest challenges to their widespread adoption is the difficulty in control and optimization of the accelerator outputs due to coupling between input parameters and the dynamic evolution of the accelerating structure. Here, we use machine learning techniques to automate a 100 MeV-scale accelerator, which optimized its outputs by simultaneously varying up to six parameters including the spectral and spatial phase of the laser and the plasma density and length. Most notably, the model built by the algorithm enabled optimization of the laser evolution that might otherwise have been missed in single-variable scans. Subtle tuning of the laser pulse shape caused an 80% increase in electron beam charge, despite the pulse length changing by just 1%.

MIGHTEE: Are giant radio galaxies more common than we thought?

(2020)

Authors:

J Delhaize, I Heywood, M Prescott, MJ Jarvis, I Delvecchio, IH Whittam, SV White, MJ Hardcastle, CL Hale, J Afonso, Y Ao, M Brienza, M Brueggen, JD Collier, E Daddi, M Glowacki, N Maddox, LK Morabito, I Prandoni, Z Randriamanakoto, S Sekhar, Fangxia An, NJ Adams, S Blyth, RAA Bowler, L Leeuw, L Marchetti, SM Randriamampandry, K Thorat, N Seymour, O Smirnov, AR Taylor, C Tasse, M Vaccari

Measuring the distance to the black hole candidate X-ray binary MAXI J1348–630 using H I absorption

Monthly Notices of the Royal Astronomical Society: Letters Oxford University Press 501:1 (2020) L60-L64

Authors:

J Chauhan, Jca Miller-Jones, W Raja, Jr Allison, Pfl Jacob, Ge Anderson, F Carotenuto, S Corbel, Robert Fender, A Hotan, M Whiting, Pa Woudt, B Koribalski, E Mahony

Abstract:

We present neutral hydrogen (H I) absorption spectra of the black hole candidate X-ray binary (XRB) MAXI J1348–630 using the Australian Square Kilometre Array Pathfinder (ASKAP) and MeerKAT. The ASKAP H I spectrum shows a maximum negative radial velocity (with respect to the local standard of rest) of −31 ± 4 km s−1 for MAXI J1348–630, as compared to −50 ± 4 km s−1 for a stacked spectrum of several nearby extragalactic sources. This implies a most probable distance of 2.2+0.5−0.6 kpc for MAXI J1348–630, and a strong upper limit of the tangent point distance at 5.3 ± 0.1 kpc. Our preferred distance implies that MAXI J1348–630 reached 17 ± 10  per cent of the Eddington luminosity at the peak of its outburst, and that the source transited from the soft to the hard X-ray spectral state at 2.5 ± 1.5  per cent of the Eddington luminosity. The MeerKAT H I spectrum of MAXI J1348–630 (obtained from the older, low-resolution 4k mode) is consistent with the re-binned ASKAP spectrum, highlighting the potential of the eventual capabilities of MeerKAT for XRB spectral line studies.