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This Letter presents the first measurement of the impact-parameter dependent angular anisotropy in the decay of coherently photoproduced ρ0 mesons. The ρ0 mesons are reconstructed through their decay into pion pairs. The measured anisotropy corresponds to the amplitude of the cos⁡(2ϕ) modulation, where ϕ is the angle between the two vectors formed by the sum and the difference of the transverse mo

A search is presented for the pair-production of heavy vector-like quarks in the lepton+jets final state using 140 fb−1 of proton–proton collisions at s=13 TeV collected with the ATLAS detector. The search is optimised for vector-like top-quarks (T) that decay into a W boson and a b-quark, with one W boson decaying leptonically and the other hadronically. Other vector-like quark flavours and decay

A measurement of the Standard Model Higgs boson produced in association with a W or Z boson and decaying into a pair of τ-leptons is presented. This search is based on proton-proton collision data collected at s=13 TeV by the ATLAS experiment at the LHC corresponding to an integrated luminosity of 140 fb−1. For the Higgs boson candidate, only final states with at least one τ-lepton decaying hadron

Background: The Critical Assessment of Genome Interpretation (CAGI) aims to advance the state-of-the-art for computational prediction of genetic variant impact, particularly where relevant to disease. The five complete editions of the CAGI community experiment comprised 50 challenges, in which participants made blind predictions of phenotypes from genetic data, and these were evaluated by independ

Momentum measurements for very high momentum charged particles, such as muons from electroweak vector boson decays, are particularly susceptible to charge-dependent curvature biases that arise from misalignments of tracking detectors. Low momentum charged particles used in alignment procedures have limited sensitivity to coherent displacements of such detectors, and therefore are unable to fully c

A search is presented for the pair production of heavy vectorlike quarks (VLQs) that each decay into a W boson and a light quark. This study focuses on events where one W boson decays into leptons and the other into hadrons. The search analyzed 140 fb−1 of pp collision data with pffiffi s ¼ 13 TeV, recorded by the ATLAS detector from 2015 to 2018 during run 2 of the Large Hadron Collider. The fina

High-momentum two-particle correlations are a useful tool for studying jet-quenching effects in the quark-gluon plasma. Angular correlations between neutral-pion triggers and charged hadrons with transverse momenta in the range 4-12 GeV/c and 0.5-7 GeV/c, respectively, have been measured by the PHENIX experiment in 2014 for Au+Au collisions at sNN=200 GeV. Suppression is observed in the yield of h

Under One Sky: The IAU Centenary Symposium Proceedings IAU Symposium 400, Solar and Stellar Multi-Scale Activity, No. , tbd, eds. doi:10.1017/xxxxx Solar photospheric spectrum microvariability Dainis Dravins (1) and Hans-Günter Ludwig (2) (1) Lund Observatory, Division of Astrophysics, Department of Physics, Lund University, SE-22100 Lund, Sweden (2) Zentrum für Astronomie der Universität Heide

https://www.astro.lu.se/sites/astro.lu.se/files/2025-08/Dravins_Ludwig_IAU400.pdf - 2026-06-06

Calculation - estimating the costs of a project Guidance 9/11/24 Guidance "Full cost estimate for funding application" is to be enclosed with the application. It is not compulsory to use this calculation, which is intended to provide support in estimating the costs of a project. General information about the calculation - The formulas in the calculation are not protected. - The starting year can b

https://www.cec.lu.se/sites/cec.lu.se/files/2025-01/Calculation%20for%20external%20funding%202025%20eng%20CEC.xlsx - 2026-06-06

General study plan Medical science Page 1 of 11 Research Studies Board GENERAL STUDY PLAN MEDICAL SCIENCE Reg. No. U 2023/965 Date 2023-12-12 Postal address Box 117 221 00 Lund Visiting address BMC Sölvegatan 19 Telephone +46 46 222 00 00 E-mail info@med.lu.se Website www.medicin.lu.se General Study Plan for Doctoral studies in Medical Science Scope: 240 credits Qualification: Degree of Doctor App

https://www.intramed.lu.se/en/sites/intramed.lu.se.en/files/2024-03/General%20Study%20Plan%20for%20Doctoral%20studies%20in%20Medical%20Science%20240%20credits.pdf - 2026-06-06

General study plan Medical science Page 1 of 11 Research Studies Board GENERAL STUDY PLAN MEDICAL SCIENCE Reg. No. U 2025/1037 Date 2025-12-16 General Study Plan for Doctoral studies in Medical Science Scope: 240 credits Qualification: Degree of Doctor Approved on 11 June 2018 Revised on 10 December 2018. Applies from 1 January 2019 Revised on 3 December 2019. Applies from 1 January 2020 Revised o

https://www.intramed.lu.se/en/sites/intramed.lu.se.en/files/2026-01/General%20Study%20Plan%20for%20Doctoral%20studies%20in%20Medical%20Science%20260107.pdf - 2026-06-06

This research paper investigates the effect of the change in Sweden’s carbon reduction policy, using a Difference in differences method with Denmark as a comparative country. This is done in order to further understand the economic consequences of this change and similar changes in carbon reduction policy. This paper also aims to investigate the pricing dynamics of the diesel market in Sweden. By

This thesis investigates how family ownership affects the short-term market reaction to acquisition announcements by serial acquirers. While family firms are traditionally viewed as conservative and long-term oriented, some engage in repeated acquisitions, a strategy typically associated with higher risk and managerial overconfidence. Using a sample of 678 acquisitions by Swedish publicly listed f

This thesis wants to investigate whether machine learning, trained on candlestick data, can be used to forecast intraday returns. Previous research has primarily focused on returns with longer horizons and is therefore leaving a research gap on shorter horizons. This thesis will use a combination of Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) as the deep learning model to