Updated CLUE clustering to pull RoC values from CSV file, if available.

[cjbarton151]

I am updating ldmx-sw, here are the details.

What are the issues that this addresses?

This resolves #1885

When calculating... Something (not sure what and it doesn't say in the code), the CLUE algorithm has been relying on a hardcoded array of containment radii defined in CLUE.h. These values are outdated and, like most hardcoded values, at risk of becoming outdated again even if we update them.

With this PR, if possible, the hardcoded array will be replaced with values pulled from a CSV file stored in Ecal/Data. To do this, the path to the selected CSV file is passed through the EcalClusterProducer, just like the rest of the parameters used in CLUE. If there is no CSV file path defined, the program defaults to using the hardcoded values. If the file path is somehow faulty, the program exits with an error. I considered downgrading this to a warning, followed by defaulting to the hardcoded values, but I think an exception is more appropriate.

Only two disclaimers this time:

1. the array in question is a vector of doubles. The file reading algorithm is designed for floats. As far as I can tell, this doesn't affect anything in the results.
   (as an aside: it turns out that there's some thorny issue related to localization that messes up stod and stof when operating in a country where decimal places are denoted by ',' instead of '.' and I spent way too much time diving into this rabbit hole)
2. The RoC array as implemented in CLUE is a 1D array, while in the EcalVetoProcessor (from which I adapted the CSV file reading) uses a 2D array. Each row in the CSV file is valid for a different containment region. I made the assumption that the RoC values used in CLUE are only for the minimum angle range, from 0 to 10 degrees.

Check List

• I successfully compiled ldmx-sw with my developments.
• I read, understood and follow the coding rules.

• I ran my developments and the following shows that they are successful.

Ran without crashing, RoC values were updated (when setting ECalClusterProducer.nbr_of_layers to a value >1, which I don't think any of the CI tests do anyway)

[github-actions]

Validation Results

Some validation samples failed! ❌

Sample	Status
deep_ecal_gun	✅ PASS
eat_signal	✅ PASS
ecal_pn	✅ PASS
hcal	✅ PASS
inclusive	✅ PASS
it_pileup	✅ PASS
kaon_enhanced	✅ PASS
reduced_ldmx	✅ PASS
signal	✅ PASS
signal_target_al	✅ PASS
target_genie	✅ PASS
target_pn_lyso	✅ PASS
target_ti_en	✅ PASS
wab_lhe	✅ PASS
cascade_history	❌ FAIL

[tvami]

Great thanks a lot!

[tvami]

/run-validation

[github-actions]

The validation workflow is running here: https://github.com/LDMX-Software/ldmx-sw/actions/runs/26490893162.

[github-actions]

Validation Results

All validation samples passed! ✅

Sample	Status
cascade_history	✅ PASS
deep_ecal_gun	✅ PASS
eat_signal	✅ PASS
ecal_pn	✅ PASS
hcal	✅ PASS
inclusive	✅ PASS
it_pileup	✅ PASS
kaon_enhanced	✅ PASS
reduced_ldmx	✅ PASS
signal	✅ PASS
signal_target_al	✅ PASS
target_genie	✅ PASS
target_pn_lyso	✅ PASS
target_ti_en	✅ PASS
wab_lhe	✅ PASS

cascade_history:

• Text Differences Between Logs
• Timing for cascade_history: gold=6434s, new=6438s
• Timing within 0% of gold (tolerance 10%)

deep_ecal_gun:

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• Timing for deep_ecal_gun: gold=4309

eat_signal:

• Timing for eat_signal: gold=1342

ecal_pn:

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• Timing for ecal_pn: gold=6854

hcal:

• Text Differences Between Logs
• Timing for hcal: gold=860

inclusive:

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• Timing for inclusive: gold=6936

it_pileup:

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• Timing for it_pileup: gold=574

kaon_enhanced:

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• Timing for kaon_enhanced: gold=3294

reduced_ldmx:

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• Timing for reduced_ldmx: gold=2347

signal:

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• Timing for signal: gold=1253

signal_target_al:

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• Timing for signal_target_al: gold=1057

target_genie:

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• Timing for target_genie: gold=7215

target_pn_lyso:

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• Timing for target_pn_lyso: gold=6704

target_ti_en:

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• Timing for target_ti_en: gold=3272

wab_lhe:

• Text Differences Between Logs
• Timing for wab_lhe: gold=7513