Search for dark matter produced in association with bottom or top quarks in √s = 13 TeV pp collisions with the ATLAS detector

A search for weakly interacting massive particle dark matter produced in association with bottom or top quarks is presented. Final states containing third-generation quarks and miss- ing transverse momentum are considered. The analysis uses 36.1 fb−1 of proton–proton collision data recorded by the ATLAS experiment at √s = 13 TeV in 2015 and 2016. No significant excess of events above the estimated backgrounds is observed. The results are in- terpreted in the framework of simplified models of spin-0 dark-matter mediators. For colour- neutral spin-0 mediators produced in association with top quarks and decaying into a pair of dark-matter particles, mediator masses below 50 GeV are excluded assuming a dark-matter candidate mass of 1 GeV and unitary couplings. For scalar and pseudoscalar mediators produced in association with bottom quarks, the search sets limits on the production cross- section of 300 times the predicted rate for mediators with masses between 10 and 50 GeV and assuming a dark-matter mass of 1 GeV and unitary coupling. Constraints on colour- charged scalar simplified models are also presented. Assuming a dark-matter particle mass of 35 GeV, mediator particles with mass below 1.1 TeV are excluded for couplings yielding a dark-matter relic density consistent with measurements

Search for the Flavor-Changing Neutral Current, t->qgamma, in Top Pair Events Using the Atlas Detector

This dissertation presents the search for flavor-changing neutral currents in processes with top pairs where one top decays through the flavor-changing neutral current decay mode (to an up-type quark and a photon) and the other decays through the most common Standard Model mode to a b-quark and a W boson. The W boson then decays leptonically, dening the channels (electron+jets and muon+jets) searched for. This search uses the entire Run-2 dataset of sqrt(s) = 13 TeV data collected using the ATLAS experiment between 2015 and 2018, corresponding to a total integrated luminosity of 139 fb^-1. Observation of the flavor-changing neutral current decays in top quarks would be an unambiguous sign of physics beyond the Standard Model. A neural network was developed to separate signal and background events using both low-level kinematic variables as well as physics-guided high-level variable combinations as inputs. The candidate signal events contain an isolated very high pT photon, a lepton (either an electron or muon), a b-tagged jet, at least one more light jet, and missing transverse energy. Various data-driven techniques were used to estimate contributions to the background from events with a hard scatter photon or a photon faked by either a jet or an electron. As there is no sensitivity for observation of the Standard Model flavor-changing neutral current process, upper limits on the observed (expected) branching ratio and cross section of these processes are set: BR(t -> q gamma) tt -> bWq) < 50(60)fb. This dissertation includes previously unpublished co-authored material

How storytelling can help drive system change...

&lt;blockquote type="cite"&gt;&lt;b&gt;From: &lt;/b&gt;Gabriele Bammer &lt;&lt;a href="mailto:[email protected]"&gt;[email protected]&lt;/a&gt;&gt;&lt;br /&gt; &lt;br /&gt; &lt;b&gt;Subject: &lt;/b&gt;&lt;b&gt;How storytelling can help drive system change&lt;/b&gt;&lt;br /&gt; &lt;br /&gt; &lt;b&gt;Date: &lt;/b&gt;February 6, 2023 at 3:32:24 PM EST&lt;br /&gt; &lt;br /&gt; &lt;b&gt;To: &lt;/b&gt;"&lt;a href="mailto:[email protected]"&gt;[email protected]&lt;/a&gt;" &lt;&lt;a href="mailto:[email protected]"&gt;[email protected]&lt;/a&gt;&gt;&lt;/blockquote&gt; &lt;br /&gt; &lt;br /&gt; &lt;img alt="" height="120" src="https://secure.gravatar.com/avatar/1664c181992a71b874c2f38248bf88a3.jpg?s=120&amp;amp;d=mm&amp;amp;r=g" width="120" /&gt;&lt;br /&gt;  &lt;br /&gt; &lt;a href="https://sciencelistserv.org/hyperkitty/users/5c6bde19ab78479db157b1ef3fecd420/" title="See the profile for Gabriele Bammer"&gt;Gabriele Bammer&lt;/a&gt;&lt;br /&gt;  6 Feb 2023 &lt;br /&gt; 3:32 p.m.&lt;br /&gt; How storytelling can help drive system change is described by Thea Snow, David Murikumthara, Teya Dusseldorp, Rachel Fyfe, Lila Wolff &amp; Jane McCracken in &lt;a href="https://i2insights.org/2023/02/07/storytelling-and-systems-change/" rel="nofollow"&gt;https://i2insights.org/2023/02/07/storytelling-and-systems-change/&lt;/a&gt;. Stories change systems by supporting individuals to change how they see themselves, their communities &amp; their broader context including by building empathy &amp; shifting mindsets. Good stories are authentic, honour the voice of person or community whose story is being told &amp; use language &amp; voice of community; they capture the heart &amp; go deeper than data. Good stories resist bending themselves to fit a pre-existing narrative, instead they challenge the dominant narrative to help dislodge that narrative, thus helping change systems. 6 issues making it hard to tell stories about work involved in systems change: 1) power &amp; trust 2) complexity 3) resources &amp; capability 4) receiver readiness 5) limits of language 6) biases. =================================================== Professor Gabriele Bammer National Centre for Epidemiology and Population Health ANU College of Health and Medicine The Australian National University 62 Mills Road Acton ACT 2601 Australia +61 2 6125 0716 [email protected]&lt;mailto:[email protected]&gt; @GabrieleBammer &lt;a href="http://i2s.anu.edu.au&amp;lt;http://www.anu.edu.au/iisn%3E" rel="nofollow"&gt;http://i2s.anu.edu.au&lt;http: iisn="" www.anu.edu.au=""&gt;&lt;/http:&gt;&lt;/a&gt; &lt;a href="http://i2Insights.org&amp;lt;http://i2insights.org/%3E" rel="nofollow"&gt;http://i2Insights.org&lt;http: i2insights.org=""&gt;&lt;/http:&gt;&lt;/a&gt; TEQSA Provider ID: PRV12002 (Australian University) | CRICOS Provider Code: 00120C ABN: 52 234 063 906 ===================================================&lt;br /&gt; &lt;br /&gt; &lt;a href="https://sciencelistserv.org/hyperkitty/list/[email protected]/thread/P5VOIXOXJ643I4SXUURSHCQA6Y5RC2H7/"&gt;https://sciencelistserv.org/hyperkitty/list/[email protected]/thread/P5VOIXOXJ643I4SXUURSHCQA6Y5RC2H7/&lt;/a&gt;&lt;/mailto:[email protected]&gt;</jats:p

Search for the Flavor-Changing Neutral Current, tt →\rightarrow to qqγ\gamma, in Top Pair Events Using the ATLAS Detector

This dissertation presents the search for flavor-changing neutral currents in processes with top pairs where one top decays through the flavor-changing neutral current decay mode (to an up-type quark and a photon) and the other decays through the most common Standard Model mode to a b-quark and a W boson. The W boson then decays leptonically, defining the channels (electron+jets and muon+jets) searched for. This search uses the entire Run-2 dataset of √s = 13 TeV data collected using the ATLAS experiment between 2015 and 2018, corresponding to a total integrated luminosity of 139 fb$^{−1}$. Observation of the flavor-changing neutral current decays in top quarks would be an unambiguous sign of physics beyond the Standard Model. A neural network was developed to separate signal and background events using both low-level kinematic variables as well as physics-guided high-level variable combinations as inputs. The candidate signal events contain an isolated very high $_{pT}$ photon, a lepton (either an electron or muon), a b-tagged jet, at least one more light jet, and missing transverse energy. Various data-driven techniques were used to estimate contributions to the background from events with a hard scatter photon or a photon faked by either a jet or an electron. As there is no sensitivity for observation of the Standard Model flavor-changing neutral current process, upper limits on the observed (expected) branching ratio and cross section of these processes are set: BR($t$ → $q$$\gamma$)< 9.6 × 10$^{−5}$(11.0 × 10$^{−5}$) and σ($pp$ → $t$$\bar{t}$ → $bWq$$\gamma$) < 50(60)fb. This dissertation includes previously unpublished co-authored material

Cancer Screening by Selective Gene Transfer of a Secretable Biomarker

We propose a cancer screening strategy using engineered herpes simplex virus (HSV). The HSV is injected systemically. Tumors are forced to secrete a biomarker which can be detected. Further commercialization opportunities include designing a point-of-care biomarker detection device that can be cost effective for under-served populations. We are currently asking the open science community to evaluate the efficacy of our biomarker (current or modified version) in different tumor models of their interest. We are also seeking collaboration opportunities (see below for details). If you have questions as you proceed, Microbial Robotics staff are available to answer questions and assist with problems that may arise. Please, contact us at [email protected] for this purpose. Currently, this project is open and any contribution you make will be made available to the public via CC BY (Creative Commons) license - meaning you are attributed as the originator but others have rights to reuse and modify your copyrighted content. We hope to learn of your experience with our new biomarker through your public conference presentations and peer-reviewed publications. Essential information for conducting analyses is provided below. Best of success