探索新技术
New Technologies for Discovery
摘要：
为了使高能物理领域继续拥有光明的未来，该领域必须优先考虑对发展进化和转型探测器开发的投资，这些开发在国家实验室之间以及与大学社区，国际合作伙伴和其他学科进行协调。虽然高能物理所解决的基础科学问题从未如此引人注目，但人们敏锐地意识到，在扩展现有技术时，预算和技术限制具有挑战性。此外，许多技术正在达到其敏感性极限，需要开发新的方法来克服目前无法克服的技术挑战。这种情况是在国家实验室，特别是大学的仪器资金减少的背景下出现的。这一趋势必须扭转，以使该国继续在粒子物理学中发挥领导作用，特别是在这个最有希望的时代，即将出现的新发现可能最终打破基本粒子相互作用的巨大成功，但有限的标准模型。在这种充满挑战的环境中，社区必须重新投资于仪器，并优化利用现有资源开发新的创新，具有成本效益的仪器，因为这是我们成功完成高能物理使命的最大希望。本报告总结了高能物理仪器的现状，未来实验的挑战和需求，并指出了高优先级的研究领域。
英文摘要：
For the field of high energy physics to continue to have a bright future, priority within the field must be given to investments in the development of both evolutionary and transformational detector development that is coordinated across the national laboratories and with the university community, international partners and other disciplines. While the fundamental science questions addressed by high energy physics have never been more compelling, there is acute awareness of the challenging budgetary and technical constraints when scaling current technologies. Furthermore, many technologies are reaching their sensitivity limit and new approaches need to be developed to overcome the currently irreducible technological challenges. This situation is unfolding against a backdrop of declining funding for instrumentation, both at the national laboratories and in particular at the universities. This trend has to be reversed for the country to continue to play a leadership role in particle physics, especially in this most promising era of imminent new discoveries that could finally break the hugely successful, but limited, Standard Model of fundamental particle interactions. In this challenging environment it is essential that the community invest anew in instrumentation and optimize the use of the available resources to develop new innovative, cost-effective instrumentation, as this is our best hope to successfully accomplish the mission of high energy physics. This report summarizes the current status of instrumentation for high energy physics, the challenges and needs of future experiments and indicates high priority research areas.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
