The East Asian ALMA Data Analysis Workshop 2026 will be held at the National Astronomical Observatory of Japan from July 13 to July 15 (morning), 2026, immediately before the EA ALMA Community Workshop: ALMA2040 Science and Technology Perspectives. This workshop is the third in the series, following the first workshop held in Korea in 2024, the second in Kagoshima in 2025. It is aimed at early-career ALMA users and is designed to provide training in advanced ALMA data analysis techniques. To promote international collaboration, the workshop will be conducted in a group-work format. In each group, participants will work on data analysis projects using ALMA archival data, focusing on specific scientific or technical topics. If the number of applications exceeds capacity, or if there is a significant imbalance in topic preferences, we may need to select participants, taking into account regional balance and topic distribution.
This topic will aim to obtain physical quantities (temperature, column density, dust grain size, etc.) from continuum and/or line data in multiple ALMA bands after beam matching.
Mentor: Gianni Cataldi,
Tutor: Natsuko Izumi
Participants: Sujay Vijay Jadhav, Dongsheng Sun, Hai-Xia Ma, Nina Kessler
This topic will aim to obtain physical quantities (temperature, column density, dust grain size, etc.) from continuum and/or line data in multiple ALMA bands after beam matching.
Mentor: Kshitiz Mallick,
Tutor: Andrea Silva
Participants: Mamta Goya, Ronaldo Laishram, Sakiko Obuchi, Novan Saputra Haryana
This topic will aim to apply the phase-only and phase + amplitude self-calibration and investigate the effects of various parameters, such as the solution time interval and clean threshold.
Mentor: Sheng-Jun Lin,
Tutor: Tien-Hao Hsieh
Participants: Himeka Matsuo, Kotaro Iwamoto, Sayoko Matsui, Xinru Li
This topic will aim to derive spatial distributions of the polarization intensity, polarization fraction, and polarization angle from observed Stokes I, Q, U (and V) images and visualize those quantities.
Mentor: Hiroshi Nagai,
Tutor: Atsushi Miyazaki
Participants: Amal George, Ayan Bhattacharjee, Norihiro Yamada, Kanako Narita, Yutaka Nakazawa, Naoya Kitade, Hiroma Okubo
This topic will aim to learn the idea of sparse modelling, apply the method to observed image(s) while tuning parameters, and compare the output images with CLEANed images.
Mentor: Masayuki Yamaguchi,
Tutor: Ayumu Shoshi
Participants: Rupam Kundu, Daichi Tanaka
This topic will aim to learn the method for combining interferometric data and total-power (single-dish) data, together with the method for making images from mosaic ALMA observations.
Mentor: Pei-Ying Hsieh
Participants: Manya Arora, Fumiaki Yoshida
This topic will aim to learn the process of fitting models directly to the visibility data obtained from interferometers. This method is used to determine source positions, flux densities, and structural parameters of astronomical objects.
Mentor: Zhengyi Chen,
Tutor: Atul Mohan
Participants: Eiji Akiyama, Liu Kongcheng, Ryota Yamamuro, Ryota Ekawa
This topic will target beginners, unlike the other topics. This topic will aim to learn the basic ideas of the imaging process, and the calibration process if possible, of ALMA and make continuum and/or line images.
Mentor: Aran Lyo,
Tutor: Jihyun Kang
Participants: Navaneeth M P, Masaaki Ohtani, Yun Jeung, Abdurrahman Naufal, Jin Inamura
Please note that some topics, such as Polarization, require basic knowledge of interferometric data reduction, including CLEAN.
To be updated.