High-z Sudoku: a diagnostic tool for identifying robust (sub)mm redshifts

Author:

Bakx Tom J L C12ORCID,Dannerbauer Helmut34

Affiliation:

1. Division of Particle and Astrophysical Science, Graduate School of Science, Nagoya University , Aichi 464-8602, Japan

2. National Astronomical Observatory of Japan , 2-21-1, Osawa, Mitaka, Tokyo 181-8588, Japan

3. Instituto Astrofísica de Canarias (IAC) , E-38205 La Laguna, Tenerife, Spain

4. Dpto. Astrofísica, Universidad de la , E-38206 La Laguna, Tenerife, Spain

Abstract

ABSTRACT We present methods to (i) graphically identify robust redshifts using emission lines in the (sub)mm regime, (ii) evaluate the capabilities of different (sub)mm practices for measuring spectroscopic redshifts, and (iii) optimize future (sub)mm observations towards increasing the fraction of robust redshifts. Using this publicly available code (https://github.com/tjlcbakx/redshift-search-graphs), we discuss scenarios where robust redshifts can be identified using both single- and multiple-line detections, as well as scenarios where the redshift remains ambiguous, even after the detection of multiple lines. Using the redshift distribution of (sub)mm samples, we quantify the efficiencies of various practices for measuring spectroscopic redshifts, including interferometers, as well as existing and future instruments specifically designed for redshift searches. Finally, we provide a method to optimize the observation strategy for future (sub)mm spectroscopic redshift searches with the Atacama Large Millimetre/submillimetre Array, where 2 mm proves indispensable for robust redshifts in the $\mathit{ z}$ = 2−4 region.

Funder

National Astronomical Observatory of Japan

ALMA

JSPS

Spanish Ministry of Science and Innovation

Agencia Estatal de Investigación

ACIISI

European Regional Development Fund

ADS

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3