Search Publications
A compendium of the best-preserved terrestrial hypervelocity impact crater in a basaltic terrain: The Lonar, India
Chavan, Anil; Bhandari, Subhash; Sajinkumar, K. S. +6 more
As impact cratering is regarded as the most fundamental process in the modification of planetary surfaces, it is crucial to investigate and identify terrestrial impact craters with credible evidences to learn more about the planet's evolutionary path. Consequently, terrestrial impact craters are considered as proxies for planetary explorations. Ho…
The Effects of the Polar Rain on the Polar Wind Ion Outflow From the Nightside Ionosphere
Rong, Zhaojin; Wang, Jing; Yang, Qian +7 more
The polar wind, consisting of low-energy ions and electrons, is an outflow along the open magnetic field lines from the polar cap ionosphere to the magnetosphere. Previous studies found that both solar radiation and solar wind electromagnetic energy are the two main energy sources for the polar wind. The polar rain, being field-aligned precipitati…
Ion kinetic effects linked to magnetic field discontinuities in the slow Alfvénic wind observed by Solar Orbiter in the inner heliosphere
D'Amicis, Raffaella; Perrone, Denise; Perri, Silvia +2 more
Slow solar wind, sharing magnetic and plasma properties typical of fast wind, the so-called slow Alfvénic wind, has been widely observed in the heliosphere. Here, we report an analysis of the turbulent properties of a slow Alfvénic stream observed by Solar Orbiter at 0.64 AU. This solar wind stream is characterized by well distinguishable regions,…
Rotation of a Stealth CME on 2012 October 5 Observed in the Inner Heliosphere
Gopalswamy, Nat; Yashiro, Seiji; Srivastava, Nandita +3 more
Coronal mass ejections (CMEs) are subject to changes in their direction of propagation, tilt, and other properties. This is because CMEs interact with the ambient solar wind and other large-scale magnetic field structures. In this work, we report on the observations of the 2012 October 5 stealth CME using coronagraphic and heliospheric images. We …
Accuracy Analysis of the On-board Data Reduction Pipeline for the Polarimetric and Helioseismic Imager on the Solar Orbiter Mission
Hirzberger, Johann; Solanki, Sami K.; Woch, Joachim +4 more
Context: Scientific data reduction on-board deep space missions is a powerful approach to maximise science return, in the absence of wide telemetry bandwidths. The Polarimetric and Helioseismic Imager (PHI) on-board the Solar Orbiter (SO) is the first solar spectropolarimeter that opted for this solution, and provides the scientific community with…
Solar Soft X-Ray Irradiance Variability, II: Temperature Variations of Coronal X-Ray Features
Masuda, Satoshi; DeLuca, Edward; Kusano, Kanya +7 more
The temperature variations of the corona and its individual surface features as a function of the solar cycle are an interesting and important aspect of understanding the physics of the Sun. To study the temperature variations, we have used the full-disk soft X-ray images of the corona obtained from Hinode/X-Ray Telescope (XRT) in different filter…
Large-scale CO (J = 1-0) Observations toward the M120.1+3.0 Molecular Cloud: A Filament with a Chain of Starburst Clusters
Fang, Min; Zhang, Shiyu; Su, Yang +11 more
We present large-scale (2° × 2°) observations toward the molecular cloud M120.1+3.0, using 12CO, 13CO and C18O (J = 1 - 0) data from the Purple Mountain Observatory 13.7 m millimeter telescope. The distance of the cloud is measured to be ~1.1 kpc. Using the 13CO data, we identify a main filament F1 and t…
Homogenizing SOHO/EIT and SDO/AIA 171 Å Images: A Deep-learning Approach
Chatterjee, Subhamoy; Dayeh, Maher A.; Bain, Hazel M. +2 more
Extreme-ultraviolet (EUV) images of the Sun are becoming an integral part of space weather prediction tasks. However, having different surveys requires the development of instrument-specific prediction algorithms. As an alternative, it is possible to combine multiple surveys to create a homogeneous data set. In this study, we utilize the temporal …
Probabilistic classification of infrared-selected targets for SPHEREx mission: in search of young stellar objects
Kang, Miju; Ashby, Matthew L. N.; Hora, Joseph L. +3 more
We apply machine learning algorithms to classify infrared (IR)-selected targets for NASA's upcoming Spectro-Photometer for the History of the Universe, Epoch of Reionization and Ices Explorer (SPHEREx) mission. In particular, we are interested in classifying young stellar objects (YSOs), which are essential for understanding the star formation pro…
Parameters for >300 million Gaia stars: Bayesian inference vs. machine learning
Anders, F.; Chiappini, C.; Khalatyan, A. +2 more
The Gaia Data Release 3 (DR3), published in June 2022, delivers a diverse set of astrometric, photometric, and spectroscopic measurements for more than a billion stars. The wealth and complexity of the data makes traditional approaches for estimating stellar parameters for the full Gaia dataset almost prohibitive. We have explored different superv…