February 2026 (LDMX-SW) focused on reliability, physics fidelity, and maintainability across tracking, calorimetry, event selection, and generator-level configuration. Key outcomes include improved tracking reliability through integration of dEdx as a track property, CKF fallback to zero Tesla, and perigee alignment with CKFProcessor; enhanced HCAL hit timing and energy deposition fidelity via pre-digitization time shifts and contribution tracking; Ecal preselection enabled by rechit-based preselection for flexible energy/hit-count based event selection; generator-level beam spot control with per-generator flexibility plus scoring-plane optimization and cross-section biasing improvements for more realistic simulations; and broad code quality/CI polish to improve maintainability and reproducibility. This work delivers tangible business value by increasing physics fidelity, analysis readiness, and production stability while enabling scalable, configurable simulations and cleaner code pipelines.

January 2026: Delivered four core feature areas to strengthen data processing quality, robustness, and physics analysis support in ldmx-sw. Enhanced HCAL reconstruction with more realistic methods and new data producers, improved preemption handling for graceful shutdown, refined PID labeling and debugging utilities, and integrated a dEdx mass estimator into the processing pipeline and monitoring. These changes improve data quality, processing reliability, observability, and physics analysis capabilities.

December 2025 performance summary focused on delivering notable feature improvements, fixing critical issues, and hardening the LDMX software stack for reliability and developer productivity. The month saw targeted optimizations in tracking throughput, improved observability, robust ECAL data handling, and enhanced hardware configuration workflows, all aimed at maximizing scientific throughput and data quality.

November 2025 monthly summary for LDMX software development across LDMX-Software/ldmx-sw and LDMX-Software/pflib. Focused on delivering key features that improve data visualization, analysis flexibility, energy reconstruction accuracy, and numerical robustness. Highlights include the following feature work and fixes, with corresponding commits: LDMX-Software/ldmx-sw - Histogram naming consistency and enhanced analysis histograms: Refactored histogram identifiers to remove directory prefixes in ComparePlots for clearer visualization and added new histograms for angles theta and pT of primary and hard daughters to improve data validation. Commits cbcadf764cf6e73cb60f366556993628eb3dbddd; 420908489d2209de9e353c3e49a08a872fa975d5. - Flexible event skimming in EcalClusterAnalyzer: Added a skimming option to filter events based on the number of ECal clusters, enabling more flexible data analysis workflows. Commit 1fd92355fb889427755b32cd5b2e032cb9fd2773. - ECAL energy reconstruction accuracy improvements (v15): Update EcalRecProducer with correct layer weights and secondary energy corrections for the v15 ECAL geometry to enhance energy reconstruction accuracy. Commit 5573e3abe55a6c47cf1440c740d6b9c8c875a079. LDMX-Software/pflib - MSB Computation Robustness and Correct Sub-Value Logging: Refactor msb function to use uint64_t for improved handling of larger values and fix logging of sub_val to ensure it is printed as a string. Commit 9ceb36dbf2caffbf8d0df783b75e99826a3a1af0.

September 2025 monthly summary for LDMX-SW: Key features delivered include CI-driven ECAL/HCAL simulation configuration with automated WAB/LHE tests, multilayer CLUE clustering enhancements with 3D distance improvements, and a centralized logging refactor for TargetENProcessFilter. These work streams collectively improved CI-based validation, clustering accuracy, and log management, enabling faster debugging and more reliable detector simulations.

In August 2025, the LDMX software effort delivered substantial geometry and quality improvements that improve detector modeling, data quality, and maintainability, while advancing core testing and CI practices. The work focused on ECAL/LYSO geometry and material updates, Birks-law integration, and targeted bug fixes, complemented by code-quality overhauls and enhanced data quality monitoring. These efforts collectively reduce modeling uncertainties, improve physics-decision fidelity, and accelerate issue resolution in production runs.

July 2025 monthly summary for LDMX-Software/ldmx-sw: Delivered an end-to-end CI-enabled simulation pipeline for GENIE EN with MIP tracking, integrating GENIE generator settings, detector configurations, and reweighting into the full simulation and reconstruction sequence. Implemented ParticleNet-based ECAL veto and configuration harmonization to ensure consistent validation across CI samples. Expanded data quality monitoring (DQM) with DarkBrem histograms, distance-based EcalClusterAnalyzer metrics, and updated HCal PE thresholds, improving detector performance visibility. Completed extensive internal refactors, logging standardization, and tooling updates to improve maintainability, LHE handling, tracking geometry, digitizer interfaces, and configurable silicon thickness. Result: faster, more reliable simulations, clearer diagnostics, and stronger alignment between development, validation, and production deployment.

June 2025 monthly summary for LDMX-Software/ldmx-sw. Delivered targeted code improvements and pipeline enhancements across CKF data truth matching, SampleValidation, Ecal biasing, and DQM integration. These changes improve data association accuracy, compatibility with geometry v15, richer validation capabilities, and a streamlined data quality monitoring workflow. Resulting business value includes more reliable track-truth matching, faster validation cycles, and maintainable analytics pipelines.

May 2025 monthly summary for LDMX-Software/ldmx-sw focused on reinforcing deployment reliability and build determinism. Delivered two key features: CI/CD workflow modernization for production Docker images and build reproducibility enhancements for ACTS downloads. These changes improve deployment traceability, reduce build non-determinism, and enable faster, safer production releases. No major bugs fixed this month; the emphasis was on process improvements and tooling that deliver business value.

April 2025 monthly summary for LDMX-Software/ldmx-sw: Delivered core features and reliability improvements that boost data quality, processing efficiency, and physics analysis capabilities. Key business value includes more accurate veto decisions, streamlined CI validation pipelines, and richer analysis tools for low-momentum particle studies, enabling faster iteration and more reliable results.

March 2025: Delivered core features to enhance filtering, configurability, and analysis capability, while stabilizing runtime behavior and improving debuggability. Key outcomes include TrackerVetoProcessor for event veto filtering to reduce nuisance events; granular pass-name configuration for ECAL/Recon/Tracking pipelines; expanded dEdx mass estimation with new histograms and corresponding producers; ECAL linear regression controls with a run_lin_reg flag and default-off safety improvements; and a bug fix to ECAL/Truth tracking to correct the ecal_first_layer_z_threshold type. These changes improve data quality, reduce false positives in vetoing, enable more granular analyses, and enhance system stability and debuggability.

February 2025 summary for LDMX software development focused on delivering targeted features, stabilizing CI/PR validation, and enhancing data quality and observability. Key work spanned veto logic improvements, robust CI validation workflows, DQM/validation visualization enhancements, and foundational improvements to event-range processing and logging/versioning to enable reproducible analyses and smoother integration cycles. The delivered changes reduce data veto uncertainties, increase validation reliability, and improve simulation/analysis quality across the pipeline.

January 2025 (2025-01) — LDMX Software (ldmx-sw) delivered a focused set of ECAL reconstruction improvements, veto logic enhancements, calibration/QA upgrades, and CI/metadata governance. The work improves reconstruction accuracy, event selection fidelity, data quality monitoring, and deployment reliability, directly enabling sharper physics performance and safer, faster releases.