15
ICRC2017
false
[["minutes", "Minutes"], ["notes", "Notes"], ["paper", "Paper"], ["poster", "Poster"], ["slides", "Slides"], ["summary", "Summary"]]
snu
7d288496a0c64849141a65a952792bac
0
The International Cosmic Ray Conference 2017
<p><a href="http://icrc2017.org/" target="_blank"><img alt="" src="https://indico.snu.ac.kr:443/indico/event/15/picture/3.jpgRemove" style="height:277px; width:700px" /></a></p>
<p>Physicists from the whole world present the results of their research in Astroparticle Physics.</p>
<p>The main topics of Astroparticle Physics are Cosmic Ray Physics, Gamma-Ray Astronomy,</p>
<p>Neutrino Astronomy, Dark Matter Physics, Solar and Heliospheric Physics, Astroparticle</p>
<p>Physics Theory and Models and Experimental Methods, Techniques and Instrumentation</p>
<p> </p>
<p><a href="http://www.bexco.co.kr/eng/Contents.do?mCode=MN0030" target="_blank"><img alt="" src="https://indico.snu.ac.kr:443/indico/event/15/picture/5.jpg" style="height:306px; width:760px" /></a></p>
<p> </p>
<p> </p>
<p> </p>
False
BEXCO
BUSAN, KOREA
2017-07-12T08:00:00
2017-07-20T18:30:00
2017-03-25T14:14:24
2017-07-25T07:20:44
Asia/Seoul
973
false
[["minutes", "Minutes"], ["notes", "Notes"], ["paper", "Paper"], ["poster", "Poster"], ["slides", "Slides"], ["summary", "Summary"]]
213
[GA200] Characterization of a Maximum Likelihood Gamma-Ray Reconstruction Algorithm for VERITAS
Cal Poly, San Luis Obispo
89992dc15d72dce1b762776e66e6b0fb
Cal Poly, San Luis Obispo
89992dc15d72dce1b762776e66e6b0fb
BEXCO
BUSAN, KOREA
Room F(201/202/203/204)
2017-07-13T15:00:00
2017-07-13T16:30:00
01:30
We characterize the improved angular and energy resolution of a new likelihood gamma-ray reconstruction for VERITAS. The algorithm uses the average photoelectrons stored in templates that are based simulations of large numbers of showers as a function of 5 gamma-ray parameters: energy, zenith angle, core location (x,y), and depth of first interaction in the atmosphere. Comparing the template predictions of the average photoelectrons in each pixel to observed photoelectrons allows us to calculate the likelihood. By maximizing the likelihood, we find the optimal gamma-ray parameters. The maximum likelihood reconstruction improves on the standard analysis which relies on the weighted average of the axis of elongation in the images to determine the gamma-ray direction and look-up tables to relate the observed the energy to the gamma-ray energy. The maximum likelihood approach is unbiased by missing pixel information due to the edge of the camera, pixel cleaning, and statistical fluctuations and is therefore more a more accurate estimator. The drawback is that it takes more CPU time (11 ms per event).