F563-V2 F565-V2 F567-2 F568-1 F568-3 F568-V1 F571-8 F571-V1 F574-1 F574-2 F579-V1 ESO079-G014 ESO116-G012 ESO444-G084 ESO563-G021 IC2574 IC4202 LSBC D563-03 LSBC D564-08 PGC51017 KK98-251 LADDER: Revisiting the Cosmic Distance Ladder with Deep Learning Approaches and Exploring Its Applications Rahul Shah, Soumadeep Saha, Purba Mukherjee, Utpal Garain, and Supratik Pal Published 2024 July 26 • © 2024. The Author(s). Published by the American Astronomical Society. The Astrophysical Journal Supplement Series, Volume 273, Number 2 Citation Rahul Shah et al 2024 ApJS 273 27 DOI 10.3847/1538-4365/ad5558 DownloadArticle PDFDownloadArticle ePub Authors Figures Tables References Article data Download PDFDownload ePub Article metrics 1930 Total downloads 2020 total citations on Dimensions. Share this article Article information Abstract We investigate the prospect of reconstructing the “cosmic distance ladder” of the Universe using a novel deep learning framework called LADDER—Learning Alg...
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FRCMFD — Evolving Theoretical Document
Geometry is emergent, not fundamental. Curvature is interpreted as a representation of response gradients. FRCMFD — Evolving Theoretical Architecture FRCMFD — Evolving Theoretical Architecture FRCMFD is an evolving theoretical architecture grounded in a response-based ontology, in which geometry, time, and gravitational behavior are treated as emergent effective descriptions arising from the evolution of a finite-capacity substrate state \( S \). The governing equations are provisional and remain under active development; they are progressively shaped and constrained by empirical data, including—but not limited to—rotation curves, baryonic scaling relations, and cosmic-flow environments. Within this framework, the ontology defines the substrate, and observational data guide the ongoing refinement of the constitutive and dynamical equations that describe how \( S \) behaves. This document represents the locked-in, non-overclaimed framing of the current architecture. ...
Ontario's New Strict Statutory Threshold for Warrantless Entry
The New Legal Reality: Reining in Warrantless Child Welfare Entrances and Police Overreach in Ontario In the landmark case of Land v. Dryden (Police Services Board) , 2023 ONCA 207, the Ontario Court of Appeal established a crucial legal precedent protecting parental rights, privacy, and the sanctity of the home. The ruling explicitly clarified that child protection workers and police officers cannot execute a warrantless entry into a private residence based on general concerns, wellness checks, or the mere possibility that a child “may” need protection. The Court reinstated claims under Sections 7, 8, and 9 of the Charter, ruling that because the underlying child welfare entry was unlawful, the accompanying police actions constituted actionable wrongs—specifically trespass and assault—effectively rejecting the Police Services Board’s derivative immunity defense. The full judgment can be accessed via CanLII or reviewed...
Constitutive Parameter Estimation from SPARC Rotation Curves
Constitutive Parameter Estimation from SPARC Rotation Curves: A Phenomenological Pilot Study Constitutive Parameter Estimation from SPARC Rotation Curves: A Phenomenological Pilot Study [Your Name] Submitted to: Monthly Notices of the Royal Astronomical Society | Date: May 2026 ABSTRACT We present a phenomenological pilot study estimating a constitutive shape parameter γ from 148 SPARC galaxies (Lelli et al. 2016) using a repaired numerical solver with soft log-normal regularization. The parameter γ is treated empirically as a flexible descriptor of rotation curve morphology, with no assumed physical interpretation. We find a weak but statistically significant correlation between γ and estimated star formation rate (SFR): Spearman r = 0.25, p = 0.0015 (N = 160). The correlation persists when controlling for stellar mass (partial r ≈ 0.23). An initial pilot signal (N = 21, r = 0.72) was substantially inflated by a hard solver ceiling at γ = 2.0, which ...
2026/05/15 ROAD MAP MONAD FIELD
This is an excellent roadmap. You have accepted **Options 2, 3, and 4** – which means we will: - **Test alternative environment proxies** (SFR, local density, radiation field) instead of 2M++ large‑scale structure. - **Move to LHC / pulsar tests** for constitutive scaling in high‑energy particle collisions and timing residuals. - **Harden the SPARC test** by combining with other rotation curve surveys (LITTLE THINGS, GHASP) to increase sample size. Your list of super‑objects, observational channels, and tools is also a direct menu for where to point the Monad‑Field “substrate radar” next. Below is a **prioritised action plan** based on your accepted options and the categories you provided. --- ## ✅ Immediate next steps (in order of feasibility) ### 1. Harden SPARC test – combine with other rotation curve surveys - **Data sources:** - LITTLE THINGS (dwarf galaxies) - GHASP (spirals) - THINGS (HI kinematics) - **Goal:** Increase N from 175 to ~300–500 galaxies, reducin...
PHASE 2: FINAL — CF4 DENSITY GRID # Using official CosmicFlows-4 density field
# ============================================================ # PHASE 2: FINAL — CF4 DENSITY GRID # Using official CosmicFlows-4 density field # ============================================================ import numpy as np import pandas as pd from astropy.io import fits from scipy.interpolate import RegularGridInterpolator from scipy.stats import ks_2samp, ttest_ind import matplotlib.pyplot as plt from astropy.coordinates import SkyCoord import astropy.units as u print("=" * 60) print("PHASE 2: FINAL — CF4 DENSITY GRID") print("=" * 60) # ------------------------------------------------------------ # STEP 1: Load CF4 density grid # ------------------------------------------------------------ print("\n1. Loading CF4 density grid...") hdul = fits.open('CF4_new_64-z008_delta.fits') density_grid = hdul[0].data header = hdul[0].header print(f" Grid shape: {density_grid.shape}") print(f" Density range: {density_grid.mi...