| Tanvi Wamorkar Hello! I am a postdoctoral researcher in the Physics Department at Stanford University, working in the Nachman Group. My research focuses on the intersection of machine learning and particle physics, where I develop ML-driven methods for particle and nuclear physics analyses. I am also a member of the ATLAS Collaboration at the Large Hadron Collider. Previously, I was a postdoctoral researcher at Argonne National Laboratory, where I worked on the upgrade of the ATLAS tracker for the High Luminosity LHC. With a background in detector development—especially silicon tracking and timing—I bring an experimentalist’s perspective to building ML methods that work in real-world settings. I enjoy working on challenging, interdisciplinary problems and building tools that make scientific workflows faster and more effective. In addition to my research projects, I enjoy learning new software tools to improve the efficiency and speed of my analyses and research work. I am always happy to interact and collaborate on potential projects, ideas, and analyses. Feel free to shoot me an email if you want to get in touch! Email / Google Scholar / GitHub / LinkedIn |  |
2025 -
Stabilizing Neural Likelihood Ratio Estimation Fernando Torales Acosta, Tanvi Wamorkar, Vinicius Mikuni, and 1 more author Mar 2025 -
Tools for unbinned unfolding Ryan Milton, Vinicius Mikuni, Trevin Lee, and 3 more authors JINST, Mar 2025 2023 -
Search for the exotic decay of the Higgs boson into two light pseudoscalars with four photons in the final state in proton-proton collisions at \sqrts = 13 TeV JHEP, Mar 2023
2022 -
The CMS MTD Endcap Timing Layer: Precision timing with Low Gain Avalanche Diodes Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Mar 2022 The MIP Timing Detector of the CMS detector will provide precision timestamps with 40 ps resolution for all charged particles up to a pseudorapidity of η=3.0. This upgrade will mitigate the effects of pile-up expected under the High-Luminosity LHC running conditions and bring new and unique capabilities to the CMS detector. The endcap region of the MIP Timing Detector, called the Endcap Timing Layer, will be instrumented with silicon Low-Gain Avalanche Diodes, covering the high-radiation pseudorapidity region 1.6<η<3.0. The LGAD sensors will be read out by the ETROC readout chip, which is being designed for precision timing measurements. We present recent progress in the characterization of LGAD sensors for the Endcap Timing Layer and the development of ETROC, including test beam and bench measurements.
2021 -
Test beam characterization of sensor prototypes for the CMS Barrel MIP Timing Detector JINST, Mar 2021 -
Combined analysis of HPK 3.1 LGADs using a proton beam, beta source, and probe station towards establishing high volume quality control Nucl. Instrum. Meth. A, Mar 2021 2020 -
Reconstruction of signal amplitudes in the CMS electromagnetic calorimeter in the presence of overlapping proton-proton interactions Albert M Sirunyan, and others JINST, Mar 2020
2019 -
A MIP Timing Detector for the CMS Phase-2 Upgrade Mar 2019 -
Performance of the CMS ECAL data acquisition system at LHC Run II Tanvi Wamorkar Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Mar 2019 Frontier Detectors for Frontier Physics: 14th Pisa Meeting on Advanced Detectors During 2017, the Large Hadron Collider provided proton–proton collisions up to an integrated luminosity of 50/fb and the Compact Muon Solenoid (CMS) experiment was able to record 90.3% of this data. The electromagnetic calorimeter (ECAL) of CMS was able to achieve excellent data collection efficiency owing to its reliable data acquisition (DAQ) system. The modular and scalar schema followed by the ECAL DAQ system means that ECAL crystals are divided in sectors, each of which is controlled by three interconnected boards. A multi-machine distributed software configures the electronic boards and follows the life cycle of the acquisition process. The increase in instantaneous luminosity during Run II has resulted in an increase in the number of occasional errors due to radiation effects. To combat this, ECAL DAQ has been equipped with automatic recovery procedures and monitoring services. -
CMS electromagnetic calorimeter calibration and alignment Tanvi Wamorkar Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Mar 2019 Frontier Detectors for Frontier Physics: 14th Pisa Meeting on Advanced Detectors Precise calibration and alignment of the CMS electromagnetic calorimeter (ECAL) is crucial for achieving excellent ECAL performance required by many physics analyses employing electrons and photons. The methods used to inter-calibrate the ECAL energy response, using physics channels such as W/Z boson decays to electrons and π0∕η decays to photon pairs, and also exploiting the azimuthal symmetry of the minimum bias events are presented here. In addition, the details of the alignment procedure used to calibrate the position measurements in ECAL relative to the CMS Tracker is also described. Lastly, results of the calibration and alignment obtained with Run 2 data are presented.
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