# Hubble constant measurement from gravitational waves
There are many ways to measure the Hubble constant. An interesting subset of them use gravitational wave signals! You can find a good introduction [here](https://github.com/jkanner/aapt/blob/master/TalkSlides-Romano.pdf). Below are some relevant references.
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## Refs
- parent [[0237 Gravitational wave astronomy]]
- [[2017#1710.05835]]
- a *first* measurement by identifying the exact host galaxy (NGC 4993) for a particular BNS event (GW170817)
- [[2019#1908.06060]]
- uses 7 events including 1 BNS (same as in [[2017#1710.05835]]) and 6 BBH
- 4 with high SNR (> 12): GW150914, GW151226, GW170608, and GW170814
- 2 needed for consistency with assumed population model: GW170104 and GW170809
## Standard siren method
- [[1710.05835]]
- $H_{0}=v / D$
- $v$ = recession velocity
- EM observations are good
- $D$ = distance
- GW observations are good
## Statistical approach
- useful e.g. when we do not have redshift data
- e.g. BBH has no EM counterparts, unlike BNS
- see [[DelPozzo2011]][](https://arxiv.org/abs/1108.1317)
- one can collect event-specific redshift data and combine to give a 5% accuracy for Hubble constant
- with known *distribution* of sources, $H_0$ can be found just from the observed distance distribution of BBH detections [[ChenHolz2014]][](https://arxiv.org/pdf/1409.0522.pdf).
- a single source with different possible locations
- [[2018#Fishbach et al.]]
## Simple method from Romano
- [GitHub slides](https://github.com/jkanner/aapt/blob/master/TalkSlides-Romano.pdf)
- [GitHub codes](https://github.com/jkanner/aapt/blob/master/AAPT-WM19-Romano.ipynb): includes steps and derivations
- similar discussion in an article on [Physics Today](http://orca.cf.ac.uk/117836/1/pt.3.4090.pdf)
- redshift
- look for wavelength shift in sodium D line
- $z \equiv \frac{\Delta \lambda}{\lambda} \equiv \frac{\lambda^{\prime}-\lambda}{\lambda} \approx \frac{v}{c}$
- distance method 1
- $D=\frac{4 c}{\pi^{2}} \frac{5}{96}\left(\frac{\dot{f}_{\mathrm{gw}}}{f_{\mathrm{gw}}^{3} h}\right)$
- distance method 2
- $D=(\text{inspiral range}) \cdot \mathrm{SNR}_{\text {threshold }} / \mathrm{SNR}_{\text {measured }}$
## Selection effects
- [[1908.06050]]
- a study with mock data
- deals with both GW and EM selection effects