Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Empirical Validation of the Ising Galaxy Bias Model   Repp and Szapudi (2019) present a physically-motivated galaxy bias model
which remains physical in low-density regions and which also provides a better
fit to simulation data than do typical survey-analysis bias models. Given
plausible simplifying assumptions, the physics of this model (surprisingly)
proves to be analogous to the Ising model of statistical mechanics. In the
present work we present a method of testing this Ising bias model against
empirical galaxy survey data. Using this method, we compare our model (as well
as three reference models -- linear, quadratic, and logarithmic) to SDSS,
6dFGS, and COSMOS2015 results, finding that for spectroscopic redshift surveys,
the Ising bias model provides a superior fit compared to the reference models.
Photometric redshifts, on the other hand, introduce enough error into the
radial coordinate that none of the models yields a good fit. A physically
meaningful galaxy bias model is necessary for optimal extraction of
cosmological information from dense galaxy surveys such as Euclid and WFIRST.

16
The categories of this paper are: stat
12
The categories of this paper are: nucl-th
31
The categories of this paper are: ao-sci
29
The categories of this paper are: funct-an
25
The categories of this paper are: patt-sol
18
The categories of this paper are: econ
9
The categories of this paper are: nlin
34
The categories of this paper are: chem-ph
24
The categories of this paper are: dg-ga
15
The categories of this paper are: nucl-ex
4
The categories of this paper are: cond-mat
30
The categories of this paper are: q-alg
0
The categories of this paper are: hep-ph
37
The categories of this paper are: supr-con
20
The categories of this paper are: acc-phys
23
The categories of this paper are: solv-int