Support reading and Querying of SIMSED models

[jeremykubica]

While the ultimate goal of this PR is to support reading in an querying SIMSED models, we use it as an opportunity to create a more general SED-based lightcurve class. This class will eventually replace SplineModel and have additional readers to incorporate data from other systems. For now we just mirror the functionality of the LightcurveTemplateModel class and add readers for SIMSED data.

[review-notebook-app]

Check out this pull request on 

See visual diffs & provide feedback on Jupyter Notebooks.

---

Powered by ReviewNB

[codecov]

Codecov Report

❌ Patch coverage is 91.66667% with 12 lines in your changes missing coverage. Please review.
✅ Project coverage is 91.20%. Comparing base (72fdad4) to head (366df28).
⚠️ Report is 16 commits behind head on main.

Files with missing lines	Patch %	Lines
src/lightcurvelynx/models/sed_template_model.py	91.66%	12 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #570      +/-   ##
==========================================
- Coverage   91.22%   91.20%   -0.02%     
==========================================
  Files          61       62       +1     
  Lines        4899     5096     +197     
==========================================
+ Hits         4469     4648     +179     
- Misses        430      448      +18     

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

🚀 New features to boost your workflow:

• ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.

[github-actions]

Before [6da7ad8]	After [d430851]	Ratio	Benchmark (Parameter)
120±6μs	122±2μs	1.01	benchmarks.TimeSuite.time_evaluate_simple_linear_wavelength_model
29.4±0.3μs	29.7±0.9μs	1.01	benchmarks.TimeSuite.time_make_simple_linear_wavelength_model
33.5±0.2ms	33.4±0.3ms	1	benchmarks.TimeSuite.time_additive_multi_model_source
7.57±0.2ms	7.57±0.05ms	1	benchmarks.TimeSuite.time_apply_white_noise
19.3±0.1ms	19.3±0.2ms	1	benchmarks.TimeSuite.time_chained_evaluate_sed
4.47±0.03ms	4.49±0.04ms	1	benchmarks.TimeSuite.time_evaluate_salt3_passbands
4.79±0.06ms	4.78±0.1ms	1	benchmarks.TimeSuite.time_lightcurve_source
8.00±0.08ms	7.98±0.03ms	1	benchmarks.TimeSuite.time_load_passbands
19.5±0.5ms	19.5±0.3ms	1	benchmarks.TimeSuite.time_make_and_evaluate_static_sed
88.1±0.4μs	88.3±2μs	1	benchmarks.TimeSuite.time_make_and_evaluate_step_model

Click here to view all benchmarks.

[hombit]

Thank you! My main concerns are about using (light)curve naming.

A demo with SNANA data would be useful, let's make an issue for that!