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LNS Special Seminars

Wednesday, October 5, 2016

hosted by:   Prof. Janet Conrad

    4:00 PM

    Kolker Room, 26-414


SensL Silicon Photomultipliers – Technology Overview & Update

Speaker: John Murphy, Ph.D, Sales Director, www.sensl.com


Abstract: Silicon Photomultipliers (SiPMs) have become the go-to modern photodetector for an ever-expanding range of scintillation-based systems in medical and security applications. They are now being adopted in many industrial & automotive applications and the High Energy Physics community continues to find new uses for the technology.

The ability to create arrays of highly uniform, cost effective and low-power consumption SiPM detectors to replace PMT/APD/PIN detection systems is a significant benefit of the technology and SensL is the leading manufacturer of a range of industrialised SiPMs with high detection efficiency, industry-leading device to device uniformity, low temperature dependency and industry-leading dark current which is essential for numerous application.

This presentation will provide a technology update and overview of Sensl's SiPM families, our quality, reliability and provide example applications including scintillation based detectors, cryogenic experiments (neutrino, dark-matter, double beta-less decay etc) and give an indication of how our technology is currently being evaluated for time-of-flight LiDAR in numerous applications. SensL is actively engaged with numerous HEP experiments globally (CALICE, Mu2e, DUNE, IceCube, DarkSide, NEXT, nEXO, Cherenkov Telescope Array (CTA) and many others – several calorimetry experiments require knowledge of the radiation hardness of SiPM technology and an overview of this will also be presented.


Friday, October 14, 2016

hosted by:   Prof. Kerstin Perez

    4:00 PM

    Kolker Room, 26-414


Careers in Data Science and Data Engineering

Speaker: Emily Halket, Insight Data Science


Abstract: With the explosion of raw data being produced in recent years, data scientists work on topics covering almost every aspect of life we can think of. Top companies and non-profits like Facebook, Twitter, Netflix, The New York Times, Merck, Memorial Sloan Kettering Cancer Center, and the Broad Institute are hiring PhDs from quantitative fields to help them glean insights from the terabytes of data that they collect every day. While the amount of data these companies are producing and storing is growing exponentially, there is a severe shortage of top talent to analyze these data and extract valuable insights. 

In this seminar, Emily Halket will discuss her transition from a career in research to becoming a Data Scientist and Program Director at the Insight Data Science Fellowship program, where she helps PhDs in quantitative fields make the transition themselves. She will also give a high-level overview of the state of the field of data science and industry-wide trends, as well as the tools and skills that top data-driven companies are looking for when hiring data scientists and engineers. The session will include time for Q&A, as well as advice for those interested in transitioning to careers based on Insight's experience working with 600+ alumni. 


Monday, October 31, 2016

hosted by:   Dr. Doug Hasell

    11:00 AM

    Kolker Room, 26-414


The NA62 Experiment at CERN: Current Status and Future Prospects

Speaker: Stefano Venditti, CERN


Abstract: NA62 is the presently running experiment following a long tradition of fixed-target kaon experiments in the North Area (NA) at CERN. Its main goal is the measurement of the ultra-rare K+ → ν v‾ decay Branching Ratio (O(10-10)) with a precision competitive with that of the latest theoretical predictions (O(10%)), in order to test possible non-Standard Model contributions to the decay. The NA62 experimental setup was successfully commissioned in 2014 and collected data during two pilot runs in 2014 and 2015. The ongoing data-taking phase is planned until LHC Long Shutdown 2, with room for an extension.
After a short review of the most relevant results obtained by the previous kaon experiments at CERN, a complete overview of NA62 will be given. Along with a detailed introduction to the physics case, the adopted experimental solutions and the TDAQ system of the experiment will also be discussed.



Thursday, November 3, 2016

hosted by:   Dr. Doug Hasell

    12:00 PM

    Kolker Room, 26-414


A toy case study for high-level event triggering: partially-connected neural decision trees

Speaker: David Blyth, Arizona State University


Abstract: Whether or not you are familiar with the language of the title, you are undoubtedly familiar on some level with the concept of machine learning. In this talk, basic concepts of machine learning will be relayed in the nomenclature of a physicist from an experimental perspective. The primary goal of this talk will be to motivate the continued innovation in applying machine learning techniques in physics experimentation. This will be done through a brief study of a toy model, where we consider the benefits of a hypothetical heterogeneous learned classification system implemented on a CPU farm and front-end FPGAs for the purpose of high-level triggering in a streaming readout system.



Friday, November 11, 2016

hosted by:   Dr. Doug Hasell

    2:00 PM

    Kolker Room, 26-414


Search for low-mass WIMPs with CRESST

Speaker: Paolo Gorla, INFN


Abstract: The CRESST-III (Cryogenic Rare Event Search with Superconducting Thermometers) experiment, located in the Gran Sasso underground laboratory (LNGS, Italy), aims at the direct detection of dark matter (DM) particles. Scintillating CaWO4 crystals operated as cryogenic detectors are used as target material for elastic DM-nucleus scattering. The simultaneous measurement of the phonon signal from the CaWO4 crystal and the emitted scintillation light in a separate cryogenic light detector is used to discriminate backgrounds from a possible dark matter signal. This technology is particularly sensitive to small energy deposits induced by light dark matter particles, allowing the experiment to probe the lowmass region of the parameter space for spin-independent DM-nucleus scattering with high sensitivity.

Recent results from the CRESST-II experiment — obtained using a 300 g detector with a nuclear recoil energy threshold of 307 eV — provide the world best limit for DM particle masses below 1.7 GeV/c^2. The CRESST-III experiment aims to significantly improve the sensitivity for low-mass DM particles by using optimised detector modules. Each module consists of a ~24 g CaWO4 target crystal — with a nuclear recoil design goal energy threshold of ~100 eV — and a 20x20 mm^2 Silicon-on-Sapphire light detector. To veto potential surface backgrounds, the inner detector housing is completely scintillating.

Phase 1 of the CRESST-III experiment — where 10 detector modules with a total target mass of 240 g will be operated for 1 year — started taking data in August 2016. In this talk the most recent results from the CRESST-II experiment are presented, as well as the status and future perspectives of the CRESST-III experiment.