Published data sets for distance modulus versus redshift

In summary, published data sets for distance modulus versus redshift are used in astronomy to study the expansion rate of the universe. These data sets consist of measurements of the distance modulus, which is a measure of the brightness of an object, and the redshift, which is a measure of the object's velocity relative to an observer. By analyzing these data sets, scientists are able to calculate the Hubble constant, which is a key parameter in understanding the rate of expansion of the universe. These published data sets are vital in providing evidence for the theory of cosmic expansion and continue to be a crucial tool in ongoing research in the field of astronomy.
  • #1
redtree
285
13
Does anyone have a recommendation for a paper/source for data relating distance modulus and redshift data over a large range of redshift, such as 0 < z <= 5? I have found that combining data from different publications can be difficult given the variety of ways that distance modulus can be estimated/modeled.
 
Space news on Phys.org
  • #2
redtree said:
Does anyone have a recommendation for a paper/source for data relating distance modulus and redshift data over a large range of redshift, such as 0 < z <= 5? I have found that combining data from different publications can be difficult given the variety of ways that distance modulus can be estimated/modeled.
This is a good paper describing the different distance measures used in cosmology:
http://arxiv.org/abs/astro-ph/9905116
 
  • #3
Note that a lot of the difference between different publications is that a lot of people do it wrong! Read the Hogg paper Chalnoth sent carefully - it has the correct analysis.
 
  • #4
Looks like I may have misread the original post, even though the Hogg paper is excellent.

The primary difficulty is that nobody has good measurements of distance modulus out as far as z=5 (though people are trying with GRB data). The furthest is with supernovae out to about z=2 or so. The Union paper is a good compilation of the current supernova data.
 
  • #5
Try Vizier - vizier.u-strasbg.fr/cgi-bin/VizieR
 
  • #6
The best compilation of z vs. bolometric magnitude m is at

http://supernova.lbl.gov/Union/figures/SCPUnion2_mu_vs_z.txt

for 1a supernovae. This only goes out to z = 1.4

You can copy and drop into a spreadsheet, then reorder by ascending z. Do you need to know how to determine distance modulus from m(z)?
 

1. What is a distance modulus versus redshift data set?

A distance modulus versus redshift data set is a collection of measurements of the distance modulus, which is a measure of the distance to a celestial object, plotted against the redshift, which is a measure of the object's velocity away from Earth. This type of data set is used in cosmology to study the expansion of the universe.

2. How are these data sets collected?

These data sets are typically collected through observational studies using telescopes and other instruments. Scientists use various techniques, such as spectroscopy and photometry, to measure the redshift and distance modulus of celestial objects.

3. What is the significance of studying distance modulus versus redshift?

Studying distance modulus versus redshift allows scientists to better understand the expansion of the universe and the properties of dark energy, which is thought to be the driving force behind this expansion. It also helps to determine the age and size of the universe.

4. Are there any publicly available distance modulus versus redshift data sets?

Yes, there are several publicly available data sets for distance modulus versus redshift, such as those from the Sloan Digital Sky Survey and the Cosmicflows project. These data sets are often used by scientists for research and can also be accessed by the general public.

5. How can these data sets be used in scientific research?

These data sets can be used in a variety of research studies related to cosmology, such as studying the expansion rate of the universe, testing different theories of dark energy, and mapping the large-scale structure of the universe. They can also be used to calibrate and validate other observational data and to make predictions about the future of the universe.

Similar threads

Replies
3
Views
978
Replies
10
Views
1K
Replies
1
Views
915
Replies
5
Views
1K
Replies
3
Views
1K
Replies
7
Views
2K
Replies
18
Views
2K
Replies
8
Views
2K
Replies
3
Views
2K
Back
Top