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This competition in high-energy physics (HEP) and machine learning was the first to strongly emphasise uncertainties in $(H \rightarrow \tau^+ \tau^-)$ cross-section measurement. Participants were tasked with developing advanced analysis…

Many people search for foreground objects to use when editing images. While existing methods can retrieve candidates to aid in this, they are constrained to returning objects that belong to a pre-specified semantic class. We instead propose…

计算机视觉与模式识别 · 计算机科学 2019-08-13 Yinan Zhao , Brian Price , Scott Cohen , Danna Gurari

The Community Engagement Frontier presents this set of three white papers, as part of Snowmass 2021. These papers address critical issues -- Power Dynamics in Physics, Informal Socialization in Physics Training, and Policing and Gatekeeping…

Foundation model, which is pre-trained on broad data and is able to adapt to a wide range of tasks, is advancing healthcare. It promotes the development of healthcare artificial intelligence (AI) models, breaking the contradiction between…

计算机与社会 · 计算机科学 2024-04-05 Yuting He , Fuxiang Huang , Xinrui Jiang , Yuxiang Nie , Minghao Wang , Jiguang Wang , Hao Chen

The former Homestake gold mine in Lead, South Dakota has been transformed into a dedicated facility to pursue underground research in rare-process physics, as well as offering research opportunities in other disciplines such as biology,…

仪器与探测器 · 物理学 2015-05-20 Jaret Heise

Most major discoveries in astronomy have come from unplanned discoveries made by surveying the Universe in a new way, rather than by testing a hypothesis or conducting an investigation with planned outcomes. Next generation radio continuum…

天体物理仪器与方法 · 物理学 2021-05-27 Evan Crawford , Ray P. Norris , Kai Polsterer

The main objective of this chapter is to present an overview of the different areas of key technologies that will be needed to fly the technically most challenging of the representative missions identified in chapter 4 (the Pillar 2 Horizon…

The Sanford Underground Research Facility (SURF) began operation in 2007 as a facility dedicated to advancing compelling multidisciplinary scientific research. SURF is one of the deepest laboratory sites and offers the largest footprint in…

高能物理 - 实验 · 物理学 2026-03-09 Jaret Heise

The question "How did we get here and what will the future bring?" captures the human imagination and the attention of the National Academy of Science's Astronomy and Astrophysics Survey Commitee (AASC). Fulfillment of this "fundamental…

The NF09 topical group was charged with soliciting input to Snowmass on the topic of artificial neutrino sources. In this report, we attempt to catalogue all new or upgraded artificial neutrino sources that are being considered by the…

高能物理 - 实验 · 物理学 2022-09-16 L. Fields , A. D. Marino , J. P. Ochoa-Ricoux , J. Spitz

In this report we summarize the work performed at Snowmass 2001 on the physics of extra dimensions. We divide these analyses into the following classes: searches for extra dimensional phenomena, identification of specific new physics…

高能物理 - 唯象学 · 物理学 2007-05-23 Gabriella Pasztor , Thomas G. Rizzo

The recent direct detection of neutrinos at the LHC has opened a new window on high-energy particle physics and highlighted the potential of forward physics for groundbreaking discoveries. In the last year, the physics case for forward…

We summarize the remarkable recent progress in ultra-high energy cosmic ray physics and astronomy enabled by the current generation of cosmic ray observatories. We discuss the primary objectives for future measurements and describe the…

This draft report summarizes and details the findings, results, and recommendations derived from the ASCR/HEP Exascale Requirements Review meeting held in June, 2015. The main conclusions are as follows. 1) Larger, more capable computing…

Rapid sampling from the environment to acquire available frontier points and timely incorporating them into subsequent planning to reduce fragmented regions are critical to improve the efficiency of autonomous exploration. We propose HPHS,…

机器人学 · 计算机科学 2024-07-22 Shijun Long , Ying Li , Chenming Wu , Bin Xu , Wei Fan

In a world of daily emerging scientific inquisition and discovery, the prolific launch of machine learning across industries comes to little surprise for those familiar with the potential of ML. Neither so should the congruent expansion of…

人工智能 · 计算机科学 2021-12-13 Brianna Richardson , Juan E. Gilbert