Mapper of the IGM Spin Temperature: Instrument Overview
Monthly Notices of the Royal Astronomical Society(2024)
Univ Calif Berkeley | Univ Catolica Santisima Concepcion | McGill Univ | Univ Toronto | Univ Chile | CryoElec LLC | Natl Radio Astron Observ | CSIRO
Abstract
The observation of the global 21 cm signal produced by neutral hydrogen gasin the intergalactic medium (IGM) during the Dark Ages, Cosmic Dawn, and Epochof Reionization requires measurements with extremely well-calibrated widebandradiometers. We describe the design and characterization of the Mapper of theIGM Spin Temperature (MIST), which is a new ground-based, single-antenna,global 21 cm experiment. The design of MIST was guided by the objectives ofavoiding systematics from an antenna ground plane and cables around theantenna, as well as maximizing the instrument's on-sky efficiency andportability for operations at remote sites. We have built two MIST instruments,which observe in the range 25-105 MHz. For the 21 cm signal, this frequencyrange approximately corresponds to redshifts 55.5 > z > 12.5, encompassing theDark Ages and Cosmic Dawn. The MIST antenna is a horizontal blade dipole of2.42 m in length, 60 cm in width, and 52 cm in height above the ground. Thisantenna operates without a metal ground plane. The instruments run on 12 Vbatteries and have a maximum power consumption of 17 W. The batteries andelectronics are contained in a single receiver box located under the antenna.We present the characterization of the instruments using electromagneticsimulations and lab measurements. We also show sample sky measurements fromrecent observations at remote sites in California, Nevada, and the CanadianHigh Arctic. These measurements indicate that the instruments perform asexpected. Detailed analyses of the sky measurements are left for future work.
MoreTranslated text
Key words
astronomical instrumentation, methods and techniques,instrumentation: miscellaneous,methods: observational,dark ages, reionization, first stars,cosmology: observations
PDF
View via Publisher
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Try using models to generate summary,it takes about 60s
Must-Reading Tree
Example

Generate MRT to find the research sequence of this paper
Related Papers
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY 2024
被引用6
Cosmic Mysteries and the Hydrogen 21-Cm Line: Bridging the Gap with Lunar Observations
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences 2024
被引用0
Constraining the Properties of Population III Galaxies with Multi-Wavelength Observations
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY 2024
被引用1
On the Constraints on Superconducting Cosmic Strings from 21-Cm Cosmology
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY 2024
被引用0
PHYSICAL REVIEW D 2024
被引用0
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
去 AI 文献库 对话