From 39879528e18da83d6231b1de4738be70da244fae Mon Sep 17 00:00:00 2001 From: EhsanGharibNezhad Date: Tue, 25 Jun 2024 16:12:47 -0700 Subject: [PATCH] minor update --- publications/joss/paper.md | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/publications/joss/paper.md b/publications/joss/paper.md index 9c0073b..51e9bd8 100644 --- a/publications/joss/paper.md +++ b/publications/joss/paper.md @@ -49,8 +49,9 @@ date: 10 June 2024 bibliography: paper.bib doi: 10.5281/zenodo.11553655 -aas-doi: LINK OF ApJ PAPER - TBD -aas-journal: The Astrophysical Journal + +[//]: # (aas-doi: "TelescopeML – II. Convolutional Neural Networks for Predicting Brown Dwarf Atmospheric Parameters") +[//]: # (aas-journal: The Astrophysical Journal ) --- @@ -65,6 +66,9 @@ Python package developed to perform three main tasks: (ii) Train a CNN model by implementing the optimal hyperparameters; and (iii) Deploy the trained CNN models on the actual observational data to derive the output spectroscopic parameters. +The implications and scientific outcomes from the trained CNN models and this package are under revision for The +Astrophysical Journal under the title *TelescopeML – II: Convolutional Neural Networks for Predicting Brown Dwarf +Atmospheric Parameters*.