High Resolution Multi-Object Fiber-Fed Spectroscopy with Microwave Kinetic Inductance Detectors
具有微波动感电感探测器的高分辨率多目标光纤馈电光谱学
基本信息
- 批准号:2108651
- 负责人:
- 金额:$ 101.56万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-08-15 至 2024-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This project seeks to develop a new detector technology, called Microwave Kinetic Inductance Detectors (MKIDs), that would permit a spectrograph to be built that can take the spectra of many objects at the same time. An MKID detector also allows the color of all arriving light to be determined without the need for additional optics that result in some of the light being lost. This device has applications across and even beyond astronomy, from detecting life on planets around nearby stars to looking at the chemical compositions of stars in the Milky Way and nearby galaxies.Spectrographs with spectral resolution R10,000 are one of the most important tools for nearly every discipline in astronomy, but design has been nearly static for the last several decades. A high-resolution spectrograph usually contains a collimator, echelle grating, cross disperser, and finally a camera and science detector. The 2-d nature of the resulting light (echellogram) makes use of long slits practical but prevents spectral coverage of more than about a single order at the high multiplex factors demanded by modern spectroscopic observations. This means that observations with these instruments are limited to medium or low (R6,000) resolution, or very narrow spectral ranges at higher resolution, and this can preclude in depth chemical abundance analysis of the targets. This project proposes to build a testbed for new type of high-resolution multi-object spectrograph (HRMOS) using Microwave Kinetic Inductance Detectors, or MKIDs. MKIDs can determine the energy of each arriving photon without added read noise or dark current, and with microsecond temporal resolution. The wavelength discrimination of photons enabled by using MKID detectors removes the need of the optical cross disperser allowing the resulting echelle spectrograph to have a considerably simpler optical design. It allows the simultaneous measurement of the full echellogram of the output of many fibers using a series of parallel linear strips of MKIDs.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
该项目旨在开发一种新的探测器技术,称为微波动力学电感探测器(MKID),这将使光谱仪能够同时拍摄许多物体的光谱。MKID探测器还允许确定所有入射光的颜色,而不需要额外的光学器件,从而导致一些光损失。 该设备的应用范围横跨天文学,甚至超越了天文学,从探测附近恒星周围行星上的生命到观察银河系和附近星系中恒星的化学成分。光谱分辨率为R10,000的光谱仪几乎是天文学各个学科最重要的工具之一,但在过去的几十年里,设计几乎是静态的。高分辨率光谱仪通常包含准直器、中阶梯光栅、交叉色散器,最后是相机和科学探测器。所产生的光的二维性质(阶梯光栅)使得长狭缝的使用变得实用,但在现代光谱观测所要求的高复用因子下,阻止了超过一个阶的光谱覆盖。这意味着用这些仪器进行的观测仅限于中等或低分辨率(R6,000),或在较高分辨率下的非常窄的光谱范围,这可能妨碍对目标进行深入的化学丰度分析。本计画提出利用微波动态电感侦测器(MKIDS)建立一个新型高解析度多目标摄谱仪(HRMOS)的实验平台。MKID可以确定每个到达光子的能量,而不会增加读取噪声或暗电流,并且具有微秒级的时间分辨率。通过使用MKID探测器实现的光子的波长鉴别消除了对光学交叉色散器的需要,从而允许所得中阶梯光栅光谱仪具有相当简单的光学设计。该奖项反映了NSF的法定使命,并通过使用基金会的智力价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Benjamin Mazin其他文献
DEEPDISH: A Dark Matter Haloscope Using MKIDs
- DOI:
10.1007/s10909-024-03239-2 - 发表时间:
2024-11-14 - 期刊:
- 影响因子:1.400
- 作者:
Miguel Daal;Benjamin Mazin - 通讯作者:
Benjamin Mazin
Benjamin Mazin的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Benjamin Mazin', 18)}}的其他基金
EAGER: Quantum Manufacturing: Scaling Quantum Photonic Circuits with Integrated Superconducting Detectors by 100×
EAGER:量子制造:使用集成超导探测器将量子光子电路扩展 100 倍
- 批准号:
2240501 - 财政年份:2023
- 资助金额:
$ 101.56万 - 项目类别:
Standard Grant
OP: Collaborative Research: Active Speckle Control and Fast Speckle Statistics to Drastically Improve the Contrast Ratio of Exoplanet Direct Imaging
OP:协作研究:主动散斑控制和快速散斑统计显着提高系外行星直接成像的对比度
- 批准号:
1710385 - 财政年份:2017
- 资助金额:
$ 101.56万 - 项目类别:
Standard Grant
Understanding Pulsar Emission with ARCONS, the first ground-based instrument to use revolutionary cryogenic detectors
使用 ARCONS 了解脉冲星发射,ARCONS 是首款使用革命性低温探测器的地面仪器
- 批准号:
1411613 - 财政年份:2014
- 资助金额:
$ 101.56万 - 项目类别:
Standard Grant
DARKNESS: Dark-Speckle Near-IR Energy-resolved Superconducting Spectrophotometer
DARKNESS:暗斑近红外能量分辨超导分光光度计
- 批准号:
1308556 - 财政年份:2013
- 资助金额:
$ 101.56万 - 项目类别:
Continuing Grant
相似国自然基金
基于Multi-Pass Cell的高功率皮秒激光脉冲非线性压缩关键技术研究
- 批准号:
- 批准年份:2022
- 资助金额:30 万元
- 项目类别:青年科学基金项目
Multi-decadeurbansubsidencemonitoringwithmulti-temporaryPStechnique
- 批准号:
- 批准年份:2022
- 资助金额:80 万元
- 项目类别:
High-precision force-reflected bilateral teleoperation of multi-DOF hydraulic robotic manipulators
- 批准号:52111530069
- 批准年份:2021
- 资助金额:10 万元
- 项目类别:国际(地区)合作与交流项目
基于8色荧光标记的Multi-InDel复合检测体系在降解混合检材鉴定的应用研究
- 批准号:
- 批准年份:2021
- 资助金额:30 万元
- 项目类别:青年科学基金项目
大地电磁强噪音压制的Multi-RRMC技术及其在青藏高原东南缘-印支块体地壳流追踪中的应用
- 批准号:
- 批准年份:2021
- 资助金额:15 万元
- 项目类别:
大规模非确定图数据分析及其Multi-Accelerator并行系统架构研究
- 批准号:62002350
- 批准年份:2020
- 资助金额:24.0 万元
- 项目类别:青年科学基金项目
3D multi-parameters CEST联合DKI对椎间盘退变机制中微环境微结构改变的定量研究
- 批准号:82001782
- 批准年份:2020
- 资助金额:24.0 万元
- 项目类别:青年科学基金项目
基于multi-SNP标记及不拆分策略的复杂混合样本身份溯源研究
- 批准号:
- 批准年份:2020
- 资助金额:56 万元
- 项目类别:面上项目
高速Multi-bit/cycle SAR ADC性能优化理论研究
- 批准号:62004023
- 批准年份:2020
- 资助金额:24.0 万元
- 项目类别:青年科学基金项目
大地电磁强噪音压制的Multi-RRMC技术及其在青藏高原东南缘—印支块体地壳流追踪中的应用
- 批准号:
- 批准年份:2020
- 资助金额:万元
- 项目类别:国际(地区)合作与交流项目
相似海外基金
Collaborative Research: Reverberation Mapping with Multi-Object Spectroscopy - from Sloan Digital Sky Survey Reverberation Mapping to the Black Hole Mapper
合作研究:使用多目标光谱进行混响映射 - 从斯隆数字巡天混响映射到黑洞映射器
- 批准号:
2310211 - 财政年份:2023
- 资助金额:
$ 101.56万 - 项目类别:
Standard Grant
Postdoctoral Fellowship: AAPF: Development of an MKID High Resolution Multi-Object Spectrometer
博士后奖学金:AAPF:MKID 高分辨率多目标光谱仪的开发
- 批准号:
2304168 - 财政年份:2023
- 资助金额:
$ 101.56万 - 项目类别:
Fellowship Award
Visualization system for performance analysis with multi-object tracking
用于多目标跟踪性能分析的可视化系统
- 批准号:
22K12293 - 财政年份:2022
- 资助金额:
$ 101.56万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Object State Recognition via Multi-Modal Analysis of Videos and Video Caption Sequences
通过视频和视频字幕序列的多模态分析进行对象状态识别
- 批准号:
22K21296 - 财政年份:2022
- 资助金额:
$ 101.56万 - 项目类别:
Grant-in-Aid for Research Activity Start-up
A Bayesian Approach to Distributed Estimation for Multi-Object Systems
多目标系统分布式估计的贝叶斯方法
- 批准号:
FT210100506 - 财政年份:2022
- 资助金额:
$ 101.56万 - 项目类别:
ARC Future Fellowships
DMD-based Multi-Object Spectrograph Calibration and Data Reduction
基于 DMD 的多目标光谱仪校准和数据缩减
- 批准号:
562014-2021 - 财政年份:2021
- 资助金额:
$ 101.56万 - 项目类别:
University Undergraduate Student Research Awards
Collaborative Research: Reverberation Mapping with Multi-Object Spectroscopy - from Sloan Digital Sky Survey Reverberation Mapping to the Black Hole Mapper
合作研究:使用多目标光谱进行混响映射 - 从斯隆数字巡天混响映射到黑洞映射器
- 批准号:
2009949 - 财政年份:2020
- 资助金额:
$ 101.56万 - 项目类别:
Standard Grant
Collaborative Research: NRI: FND: Graph Neural Networks for Multi-Object Manipulation
合作研究:NRI:FND:用于多对象操作的图神经网络
- 批准号:
2024057 - 财政年份:2020
- 资助金额:
$ 101.56万 - 项目类别:
Standard Grant
Collaborative Research: Reverberation Mapping with Multi-Object Spectroscopy - from Sloan Digital Sky Survey Reverberation Mapping to the Black Hole Mapper
合作研究:使用多目标光谱进行混响映射 - 从斯隆数字巡天混响映射到黑洞映射器
- 批准号:
2009947 - 财政年份:2020
- 资助金额:
$ 101.56万 - 项目类别:
Standard Grant
Collaborative Research: Reverberation Mapping with Multi-Object Spectroscopy - from Sloan Digital Sky Survey Reverberation Mapping to the Black Hole Mapper
合作研究:使用多目标光谱进行混响映射 - 从斯隆数字巡天混响映射到黑洞映射器
- 批准号:
2009539 - 财政年份:2020
- 资助金额:
$ 101.56万 - 项目类别:
Standard Grant














{{item.name}}会员




