analyze: raise default condor job memory request to 8192 MB

4096 MB was too tight: a resubmitted run held ~31 jobs spread evenly
across nearly every plot family and chunk index with "Docker job has
gone over memory limit of 4224 Mb", not one specific spec, so the
generic per-chunk data footprint needed more headroom.

giant/analysis/condor.py

@@ -307,7 +307,7 @@ class SubmitConfig:
     accounting_group: str
     repo_dir: Path
     docker_image: str = "cverstege/alma9-gridjob"
-    request_memory_mb: int = 4096
+    request_memory_mb: int = 8192
     request_cpus: int = 1
     remote: bool = False  # +RemoteJob (grid I/O) vs ProvidesETPResources (local files)
     n_chunks: int = 1  # per-plot data chunks; ignored for chunkable=False specs

giant/cli.py

@@ -1249,7 +1249,7 @@ def analyze_submit(
     docker_image: Annotated[
         str, typer.Option("--docker-image")
     ] = "cverstege/alma9-gridjob",
-    request_memory: Annotated[int, typer.Option("--request-memory", help="MB")] = 4096,
+    request_memory: Annotated[int, typer.Option("--request-memory", help="MB")] = 8192,
     remote: Annotated[
         bool,
         typer.Option("--remote/--local", help="+RemoteJob vs ProvidesETPResources"),