<｜begin▁of▁sentence｜>### Instruction:
As a foreign correspondent reporting on scientific developments, you have been tasked with analyzing the collaborative networks within the field of astrophysics. Using the provided astrophysics collaborations graph data from the astro-ph.gml file, you are required to apply the Louvain method for community detection to identify distinct research communities within the network. Once the communities are identified, you need to compute the normalized cut for each community. Finally, you should report the normalized cut values, which provide a normalized score for the separation of the detected communities in the graph.
### Response:
import networkx as nx
from cdlib import algorithms, evaluation

# Read the astrophysics collaborations graph
G = nx.read_gml('astro-ph.gml')

# Perform community detection using the Louvain method
communities = algorithms.louvain(G)

# Compute the normalized cut for the detected communities
norm_cut = evaluation.normalized_cut(G, communities)

# Print the normalized cut value
print(norm_cut)
<|EOT|>
