Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 165 tok/s
Gemini 2.5 Pro 47 tok/s Pro
GPT-5 Medium 28 tok/s Pro
GPT-5 High 24 tok/s Pro
GPT-4o 112 tok/s Pro
Kimi K2 208 tok/s Pro
GPT OSS 120B 466 tok/s Pro
Claude Sonnet 4.5 36 tok/s Pro
2000 character limit reached

The Mira Distance Ladder (2401.09581v1)

Published 17 Jan 2024 in astro-ph.CO, astro-ph.GA, and astro-ph.SR

Abstract: Here we provide a review of Mira variables, their basic properties, and Period-Luminosity Relations with an emphasis on their role in measuring the Hubble Constant. The usage of multiple independent distance indicators and methods is crucial to cross-checking systematic uncertainties in distance measurements and in reinforcing previous findings of the Hubble tension. To this end, Mira variables serve as an alternative Type Ia Supernova calibrator to the more commonly-used Cepheid variables or Tip of the Red Giant Branch method. They also have the potential to expand the number of local SN Ia calibrators by calibrating previously-inaccessible SNe Ia. Short-period ($P \lesssim 400$ d) O-rich Miras are a ubiquitous older population that can reach galaxies not hosting the younger Cepheids variables or out of reach to the old but fainter Tip of the Red Giant Branch. With the current and upcoming focus on infrared observations, Miras, which can be discovered and characterized using exclusively near-infrared and infrared observations, will be particularly useful in obtaining distances to astrophysical objects. Long-period Miras ($P \gtrsim 400$ d) are highly luminous variables that have the potential to measure $H_0$ directly, excluding Type Ia SNe altogether in the distance ladder.

Citations (2)

Summary

We haven't generated a summary for this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

Authors (1)

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

X Twitter Logo Streamline Icon: https://streamlinehq.com

Tweets

This paper has been mentioned in 1 tweet and received 0 likes.

Upgrade to Pro to view all of the tweets about this paper: