Matter-wave Atomic Gradiometer Interferometric Sensor (MAGIS-100)

QUANTUM SCIENCE AND TECHNOLOGY 6:4 (2021) ARTN 044003

Authors:

Mahiro Abe, Philip Adamson, Marcel Borcean, Daniela Bortoletto, Kieran Bridges, Samuel P Carman, Swapan Chattopadhyay, Jonathon Coleman, Noah M Curfman, Kenneth DeRose, Tejas Deshpande, Savas Dimopoulos, Christopher J Foot, Josef C Frisch, Benjamin E Garber, Steve Geer, Valerie Gibson, Jonah Glick, Peter W Graham, Steve R Hahn, Roni Harnik, Leonie Hawkins, Sam Hindley, Jason M Hogan, Yijun Jiang, Mark A Kasevich, Ronald J Kellett, Mandy Kiburg, Tim Kovachy, Joseph D Lykken, John March-Russell, Jeremiah Mitchell, Martin Murphy, Megan Nantel, Lucy E Nobrega, Robert K Plunkett, Surjeet Rajendran, Jan Rudolph, Natasha Sachdeva, Murtaza Safdari, James K Santucci, Ariel G Schwartzman, Ian Shipsey, Hunter Swan, Linda R Valerio, Arvydas Vasonis, Yiping Wang, Thomas Wilkason

Room temperature atomic frequency comb storage for light

Optics Letters Optical Society of America 46:12 (2021) 2960-2960

Authors:

Dougal Main, Thomas Hird, Shaobo Gao, Ian Walmsley, Patrick Ledingham

Abstract:

We demonstrate coherent storage and retrieval of pulsed light using the atomic frequency comb protocol in a room temperature alkali vapor. We utilize velocity-selective optical pumping to prepare multiple velocity classes in the 𝐹=4 hyperfine ground state of cesium. The frequency spacing of the classes is chosen to coincide with the 𝐹′=4−𝐹′=5 hyperfine splitting of the 62P3/2 excited state, resulting in a broadband periodic absorbing structure consisting of two usually Doppler-broadened optical transitions. Weak coherent states of duration 2ns are mapped into this atomic frequency comb with pre-programmed recall times of 8ns and 12ns, with multi-temporal mode storage and recall demonstrated. Utilizing two transitions in the comb leads to an additional interference effect upon rephasing that enhances the recall efficiency.

Radiation hard monolithic CMOS sensors with small electrodes for HL-LHC and beyond

Proceedings of Science 390 (2021)

Authors:

CS Sanchez, P Allport, IA Tortajada, D Bortoletto, C Buttar, R Cardella, F Dachs, V Dao, H Denizli, M Dyndal, LFS de Acedo, P Freeman, A Gabrielli, L Gonella, K Oyulmaz, H Pernegger, P Riedler, H Sandaker, A Sharma, W Snoeys, JT Pais, S Worm

Abstract:

The upgrade of tracking detectors for experiments at the HL-LHC and future colliders requires the development of novel radiation hard silicon sensors. We target the replacement of hybrid pixel detectors with Depleted Monolithic Active Pixel Sensors (DMAPS) that are radiation hard monolithic CMOS sensors. We designed, manufactured and tested DMAPS in the TowerJazz 180 nm CMOS imaging technology with small electrodes pixel designs, that have a pixel pitch well below the current hybrid pixel detectors, and less multiple scattering due to a reduced total silicon thickness. In this document we present the recent results from these sensors manufactured on Czochralski silicon substrates in terms of cluster size, impact on tracking and time resolution from measurements carried out at beam tests on irradiated samples at 1e15 1 MeV n /cm ,. eq 2

Radiation hard monolithic CMOS sensors with small electrodes for High Luminosity LHC

NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT 986 (2021) ARTN 164381

Authors:

H Pernegger, P Allport, I Asensi Tortajada, M Barbero, P Barrillon, I Berdalovic, C Bespin, S Bhat, D Bortoletto, P Breugnon, C Buttar, R Cardella, F Dachs, V Dao, Y Degerli, H Denizli, M Dyndal, L Flores Sanz de Acedo, P Freeman, L Gonella, A Habib, T Hemperek, T Hironoi, B Hiti, T Kugathasan, I Mandic, M Mikuz, K Moustakas, M Munker, KY Oyulmaz, P Pangaud, F Piro, P Riedler, H Sandaker, EJ Schioppa, P Schwemling, A Sharma, L Simon Argemi, C Solans Sanchez, W Snoeys, T Suligoj, T Wang, N Wermes

Higgs self-coupling measurements using deep learning in the b¯bb¯b final state

Journal of High Energy Physics Springer 2020:12 (2020) 115

Authors:

Jacob Amacker, William Balunas, Lydia Beresford, Daniela Bortoletto, James Frost, Cigdem Issever, Jesse Liu, James McKee, Alessandro Micheli, Santiago Paredes Saenz, Michael Spannowsky, Beojan Stanislaus

Abstract:

Measuring the Higgs trilinear self-coupling λhhh is experimentally demanding but fundamental for understanding the shape of the Higgs potential. We present a comprehensive analysis strategy for the HL-LHC using di-Higgs events in the four b-quark channel (hh → 4b), extending current methods in several directions. We perform deep learning to suppress the formidable multijet background with dedicated optimisation for BSM λhhh scenarios. We compare the λhhh constraining power of events using different multiplicities of large radius jets with a two-prong structure that reconstruct boosted h → bb decays. We show that current uncertainties in the SM top Yukawa coupling yt can modify λhhh constraints by ∼ 20%. For SM yt, we find prospects of −0.8 < 𝜆ℎℎℎ/𝜆SMℎℎℎ < 6.6 at 68% CL under simplified assumptions for 3000 fb−1 of HL-LHC data. Our results provide a careful assessment of di-Higgs identification and machine learning techniques for all-hadronic measurements of the Higgs self-coupling and sharpens the requirements for future improvement.