arXiv subjects

Mohit Verma

Publications and source records attributed to Mohit Verma.

9 recordsLinked to original sources

arXiv2026

Zero-Scan Data Quality: Leveraging Table Format Metadata for Continuous Observability at Scale

Modern table formats such as Apache Iceberg compute and store metadata-commit timestamps, record counts, and column-level statistics such as null counts and value bounds at write time as part of file writing. These statistics serve query planning, yet they overlap substantially with data quality (DQ) monitoring needs. We describe a metadata-first approach that repurposes write-time statistics for continuous DQ observability: anomaly detection, drift monitoring, null-rate tracking; without scanning any data. Deployed at LinkedIn across 200,000+ Iceberg tables (800+ PB), this approach satisfies approximately 60% of user-defined DQ rules at zero marginal compute cost and reduces profiling resource consumption by around 50%. Extending manifest statistics with lightweight counters (sum, zero-value counts, boolean counts) and incrementally mergeable sketches; Theta sketches for distinct counts, KLL sketches for quantiles; can further raise metadata-satisfiable coverage to close to 90% of production DQ rules. We validate sketch accuracy, mergeability, and storage overhead on production data and propose that table formats should store per-file sketches in Puffin sidecar files, following the same store-then-aggregate pattern used for existing manifest statistics.

cs.DB↗

arXiv2025

Simulated Laser Cooling and Magneto-Optical Trapping of Group IV Atoms

We present a scheme for laser cooling and magneto-optical trapping of the Group IV (a.k.a. Group 14 or tetrel) atoms silicon (Si), germanium (Ge), tin (Sn), and lead (Pb). These elements each possess a strong Type-II transition ($J \rightarrow J' = J-1$) between the metastable $s^2p^2 \,^3P_1$ state and the excited $s^2ps'\, ^3P_0^o$ state at an accessible laser wavelength, making them amenable to laser cooling and trapping. We focus on the application of this scheme to Sn, which has several features that make it attractive for precision measurement applications. We perform numerical simulations of atomic beam slowing, capture into a magneto-optical trap (MOT), and subsequent sub-Doppler cooling and compression in a blue-detuned MOT of Sn atoms. We also discuss a realistic experimental setup for realizing a high phase-space density sample of Sn atoms.

physics.atom-ph↗

arXiv2025

A magneto-optical trap of silver and potassium atoms

We demonstrate a dual magneto-optical trap of $^{109}$Ag and $^{39}$K. For silver, a decreasing-field Zeeman slower loads a MOT of $1.5{\times}10^8$ atoms at a temperature of 0.74(5) mK, with laser cooling occurring primarily on the $D_2$ line of $4d^{10}5s\; {}^2S_{1/2}\rightarrow 5p\; {}^2P_{3/2}$ at 328 nm. We create a novel Ag "dark spot MOT," where shelving the atoms in a dark state enhances the captured atom number by a factor of two and the lifetime by a factor of four. For potassium, we obtain $2{\times}10^8$ trapped atoms, and further cooling on the $D_1$ transition via grey molasses results in a cloud of $1.2{\times} 10^8$ atoms at 7(1) $\mu$K. We observe evidence of photoionization loss of the K MOT in the presence of Ag laser-cooling light, with implications for optimal dual species loading strategies. Our results on Ag point to simple and general laser cooling strategies for other coinage metals (Au, Cu). Furthermore, this work lays the foundation for the production of alkali-coinage metal degenerate quantum mixtures and highly polar molecules.

physics.atom-ph↗

arXiv2025

Data Guard: A Fine-grained Purpose-based Access Control System for Large Data Warehouses

The last few years have witnessed a spate of data protection regulations in conjunction with an ever-growing appetite for data usage in large businesses, which presents significant challenges for businesses to maintain compliance. To address this conflict, we present Data Guard - a fine-grained, purpose-based access control system for large data warehouses. Data Guard enables authoring policies based on semantic descriptions of data and purpose of data access. Data Guard then translates these policies into SQL views that mask data from the underlying warehouse tables. At access time, Data Guard ensures compliance by transparently routing each table access to the appropriate data-masking view based on the purpose of the access, thus minimizing the effort of adopting Data Guard in existing applications. Our enforcement solution allows masking data at much finer granularities than what traditional solutions allow. In addition to row and column level data masking, Data Guard can mask data at the sub-cell level for columns with non-atomic data types such as structs, arrays, and maps. This fine-grained masking allows Data Guard to preserve data utility for consumers while ensuring compliance. We implemented a number of performance optimizations to minimize the overhead of data masking operations. We perform numerous experiments to identify the key factors that influence the data masking overhead and demonstrate the efficiency of our implementation. Data Guard is deployed inside LinkedIn's production data warehouses and ensures compliance of more than 20,000 table accesses each day across different data processing engines.

cs.DB↗

arXiv2024

Four-fold Anisotropic Magnetoresistance in Antiferromagnetic Epitaxial Thin Films of MnPt$_{x}$Pd$_{1-x}$

Antiferromagnets are emerging as promising alternatives to ferromagnets in spintronics applications. A key feature of antiferromagnets is their anisotropic magnetoresistance (AMR), which has the potential to serve as a sensitive marker for the antiferromagnetic order parameter. However, the underlying origins of this behavior remains poorly understood, particularly, in thin film geometries. In this study, we report the observation of AMR in epitaxial thin films of the collinear L1$_{0}$ antiferromagnet MnPt$_{x}$Pd$_{1-x}$. In the thicker films, AMR is dominated by a non-crystalline two-fold component, which emerges from domain reconfiguration and spin canting under applied magnetic field. As the film thickness is reduced, however, a crystalline four-fold component emerges, accompanied by the appearance of uncompensated magnetic moment, which strongly modifies the magnetotransport properties in the thinner films. We demonstrate that interfacial interactions lead to a large density of states (DOS) at the Fermi level. This enhanced DOS, combined with disorder in the thinner films, stabilizes the uncompensated moment and results in a four-fold modulation of the DOS as the Neel vector rotates, explaining the observed AMR behavior.

cond-mat.mtrl-sci↗

arXiv2024

Dependency Aware Incident Linking in Large Cloud Systems

Despite significant reliability efforts, large-scale cloud services inevitably experience production incidents that can significantly impact service availability and customer's satisfaction. Worse, in many cases one incident can lead to multiple downstream failures due to cascading effects that creates several related incidents across different dependent services. Often time On-call Engineers (OCEs) examine these incidents in silos that lead to significant amount of manual toil and increase the overall time-to-mitigate incidents. Therefore, developing efficient incident linking models is of paramount importance for grouping related incidents into clusters so as to quickly resolve major outages and reduce on-call fatigue. Existing incident linking methods mostly leverages textual and contextual information of incidents (e.g., title, description, severity, impacted components), thus failing to leverage the inter-dependencies between services. In this paper, we propose the dependency-aware incident linking (DiLink) framework which leverages both textual and service dependency graph information to improve the accuracy and coverage of incident links not only coming from same service, but also from different services and workloads. Furthermore, we propose a novel method to align the embeddings of multi-modal (i.e., textual and graphical) data using Orthogonal Procrustes. Extensive experimental results on real-world incidents from 5 workloads of Microsoft demonstrate that our alignment method has an F1-score of 0.96 (14% gain over current state-of-the-art methods). We are also in the process of deploying this solution across 610 services from these 5 workloads for continuously supporting OCEs improving incident management and reducing manual toil.

cs.DC↗

arXiv2020

Electron electric dipole moment searches using clock transitions in ultracold molecules

Permanent electric dipole moments (EDMs) of fundamental particles such as the electron are signatures of parity and time-reversal violation due to physics beyond the standard model. EDM measurements probe new physics at energy scales well beyond the reach of present-day colliders. Recent advances in assembling molecules from ultracold atoms have opened up new opportunities for improving the reach of EDM experiments. But better measurement techniques, that are not limited by the magnetic field sensitivity of such molecules, are necessary before these opportunities can be fully exploited. We present a technique that takes advantage of magnetically-insensitive hyperfine clock transitions in polar molecules, and offers new ways to improve both the precision and accuracy of EDM searches with ultracold assembled molecules.

physics.atom-ph↗

arXiv2019

Direct observation of a highly forbidden optical transition in Sm:SrF$_2$

The $4f^6$ $^{7}F_0$ $\to 4f^6$ $^{5}D_0$ intra-configuration transition in Sm:SrF$_2$ is forbidden for Sm$^{2+}$ ions in the octahedrally symmetric substitution sites in SrF$_2$. We report the direct observation of this transition using laser-induced fluorescence at cryogenic temperatures, and measurements of the excited state lifetime and the excitation cross section. To the best of our knowledge, this optical transition has the longest lived excited state ever observed in a solid.

physics.atom-ph↗

arXiv2015

A thermodynamical approach towards multi-criteria decision making (MCDM)

In multi-criteria decision making (MCDM) problems, ratings are assigned to the alternatives on different criteria by the expert group. In this paper, we propose a thermodynamically consistent model for MCDM using the analogies for thermodynamical indicators - energy, exergy and entropy. The most commonly used method for analysing MCDM problem is Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The conventional TOPSIS method uses a measure similar to that of energy for the ranking of alternatives. We demonstrate that the ranking of the alternatives is more meaningful if we use exergy in place of energy. The use of exergy is superior due to the inclusion of a factor accounting for the quality of the ratings by the expert group. The unevenness in the ratings by the experts is measured by entropy. The procedure for the calculation of the thermodynamical indicators is explained in both crisp and fuzzy environment. Finally, two case studies are carried out to demonstrate effectiveness of the proposed model.

cs.AI↗