This week's papers
1. Deep learning algorithms applied to the classification of video meteor detections
Gural
2019, Monthly Notices of the Royal Astronomical Society
2. Galaxy simulation with the evolution of grain size distribution
Aoyama
et al.
2019, Monthly Notices of the Royal Astronomical Society
3. Probing planet formation and disk substructures in the inner disk of Herbig Ae stars with CO rovibrational emission
Bosman
et al.
2019, Astronomy and Astrophysics
4. The γ-ray sky seen at X-ray energies. I. Searching for the connection between X-rays and γ-rays in Fermi BL Lac objects
Marchesini
et al.
2019, Astronomy and Astrophysics
5. Hyperbolic Orbits in the Solar System: Interstellar Origin or Perturbed Oort Cloud Comets?
Higuchi
& Kokubo
2019, Monthly Notices of the Royal Astronomical Society
Selected on Tuesday, 31 December 2019 from a total of 1083 papers published last month in ApJ, AJ, MNRAS and A&A.
About Random Papers
We meet every Monday at 2pm at the McGill Space Institute to discuss 5 random astrophysics papers.
The goal of Random Papers is to gain a broad view of current astrophysics research. Each week we run a script to choose 5 random papers published in the last month in refereed astrophysics journals. This gives a different slice of the literature than the typical astro-ph discussion, with papers from outside our own research areas or those that might not otherwise be chosen for discussion.
Rather than reading each paper in depth, the goal is to focus on the big picture, with questions such as: How would we summarize the paper in a few sentences? What are the key figures in the paper? What analysis methods are used? Why is this paper being written, and Why now?
Previous random papers
2019.12.24
2019.12.17
2019.12.10
2019.12.03
2019.11.26
2019.11.19
2019.11.12
2019.11.05
2019.10.29
2019.10.22
2019.10.15
2019.10.08
2019.10.01
2019.09.24
2019.09.17
2019.09.15
2019.09.03
2019.08.27
2019.08.20
2019.08.13
2019.08.06
2019.07.30
2019.07.23
2019.07.18
2019.07.09
2019.07.02
2019.06.25
2019.06.18
2019.06.11
2019.06.04
2019.05.28
2019.05.21
2019.05.20
2019.05.09
2019.05.02
2019.04.25
2019.04.18
2019.04.11
2019.04.04
2019.03.28
2019.03.21
2019.03.14
2019.03.07
2019.02.28
2019.02.21
2019.02.14
2019.02.07
2019.01.31
2019.01.24
2019.01.17
2019.01.10
2019.01.03
2018.12.27
2018.12.20
2018.12.13
2018.12.06
2018.11.29
2018.11.22
2018.11.15
2018.11.08
2018.11.01
2018.10.25
2018.10.18
2018.10.11
2018.10.04
2018.09.27
2018.09.20
2018.09.13
2018.09.06
2018.08.30
2018.08.23
2018.08.16
2018.08.09
2018.08.02
2018.07.26
2018.07.19
2018.07.12
2018.07.05
2018.06.28
2018.06.21
2018.06.18
2018.05.24
2018.05.17
2018.05.10
2018.05.03
2018.04.26
2018.04.19
2018.04.12
2018.04.05
2018.03.29
2018.03.22
2018.03.15
2018.03.08
2018.03.01
2018.02.22
2018.02.15
2018.02.08
2018.02.01
2018.01.25
2018.01.18
2018.01.11
2018.01.04
2017.12.28
2017.12.21
2017.12.14
2017.12.07
2017.11.30
2017.11.23
2017.11.16
2017.11.09
2017.11.02
2017.10.26
2017.10.19
2017.10.12
2017.10.05
2017.09.28
2017.09.21
2017.09.14
2017.09.07
2017.08.31
2017.08.24
2017.08.17
2017.08.10
2017.08.03
2017.07.27
2017.07.20
2017.07.13
2017.07.06
2017.06.29
2017.06.22
2017.06.15
2017.06.08
2017.06.01
2017.05.25
2017.05.18
2017.05.11
2017.05.08
2017.04.27
2017.04.20
2017.04.13
2017.04.06
2017.03.30
2017.03.23
2017.03.16
2017.03.09
2017.03.07
2017.03.01
2017.02.20
2017.02.09
2017.02.02
2017.01.26
2017.01.19
2017.01.15
2017.01.08
2017.01.01
2016.12.25
2016.12.18
2016.12.11
2016.12.04
2016.11.27
2016.11.20
Image credit: NASA/HST
Code: GitHub