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SUMMARY:Statistical Techniques for Astronomy Research (STAR) school [Works
 hop]
DTSTART:20250630T033000Z
DTEND:20250705T120000Z
DTSTAMP:20260816T134500Z
UID:indico-event-250@events.iiap.res.in
CONTACT:stars@iiap.res.in
DESCRIPTION:Statistical Techniques for Astronomy Research (STAR) is a six-
 day workshop on astro-statistics for early-career PhD students in astronom
 y. The school is planned to be held at VBО\, Kavalur\, from June 30 to Ju
 ly 5\, 2025. The objective of the school is to introduce students to moder
 n statistical concepts\, tools\, and techniques as applied to research in 
 astronomy and astrophysics. The program will include a series of lectures 
 and hands-on activities.  OverviewIn modern astrophysics\, statistical t
 echniques and machine learning tools are becoming increasingly integral to
  research. The vast amounts of data produced by astronomical surveys and s
 imulations require sophisticated methods to extract meaningful insights an
 d interpret the results. This requirement cuts across all areas of astroph
 ysics - from cosmology\, galaxy formation\, stellar evolution\, and high-e
 nergy astrophysics\, to the search for exoplanets\, the detection of gravi
 tational waves\, and planetary science\, statistics play a crucial role. 
  Practitioners of the trade must therefore have a strong foundation in st
 atistical analysis\, and also keep updating their skills.  Recent develo
 pments in Bayesian inference\, Gaussian processes\, and machine learning h
 ave gained significant importance in analysis and interpretation of the da
 ta. This underscores the necessity for the next generation of astrophysici
 sts to gain proficiency in these areas. Despite the growing significance o
 f statistics and machine learning in astrophysical research\, many PhD stu
 dents in astronomy receive minimal formal training in these disciplines. T
 hese critical tools are often overlooked in traditional astrophysics curri
 cula\, leaving students ill-equipped to handle the data-driven challenges 
 in their research. To fill this gap\, we are organising a week-long school
  for providing essential training in statistics\, machine learning and the
  interface of probability with geometry and topology.Who can apply?PhD stu
 dents working in the field of astronomy\, astrophysics and related fields 
 can apply. Preference will be given to students in the early stages of the
 ir PhD.Only limited applicants will be selected for participation based on
  their academic records and motivation to attend the school.Accommodation 
 and travelStudents who are selected for the school will be provided free b
 oarding/lodging at the Vainu Bappu Observatory. Accommodations for partici
 pants will be provided on a shared basis. While travel support will NOT b
 e provided \, the institute will arrange free transportation between IIA B
 angalore and VBO Kavalur. \n\nhttps://events.iiap.res.in/event/250/
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URL:https://events.iiap.res.in/event/250/
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