Embedded newform data - 1728.3.h.c.161.1

Formats: - HTML - YAML - JSON - 2025-12-28T08:44:06.722440

• mf_newforms •

  Column	Type
  Nk2	integer
  analytic_conductor	double precision
  analytic_rank	smallint
  analytic_rank_proved	boolean
  artin_degree	integer
  artin_field	numeric[]
  artin_field_label	text
  artin_image	text
  atkin_lehner_eigenvals	integer[]
  atkin_lehner_string	text
  char_conductor	integer
  char_degree	integer
  char_is_minimal	boolean
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  cm_discs	integer[]
  conrey_index	integer
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_largest	boolean
  is_maximal	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 15552, 'analytic_conductor': 47.084589681459306, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 24, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 8, 'char_orbit_label': 'h', 'char_order': 2, 'char_parity': -1, 'char_values': [1728, 2, [703, 325, 1217], [2, 1, 1]], 'cm_discs': [-3], 'conrey_index': 161, 'dim': 4, 'field_disc': 144, 'field_disc_factorization': [[2, 4], [3, 2]], 'field_poly': [1, 0, -1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 12, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [0, 1]], [7, [-27, 0, 1]], [11, [0, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007680341411520, 'hecke_ring_generator_nbound': 19, 'hecke_ring_index': 36, 'hecke_ring_index_factorization': [[2, 2], [3, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 8, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, -3], [1, 1, 24, 8, -1, 2, 0], [1, 1, 8, 2, 1, 2, 0], [1, 1, 8, 4, -1, 2, 0], [1, 1, 4, 2, -1, 2, 0], [1, 1, 12, 2, 1, 2, 0], [1, 1, 24, 6, 1, 2, 0]], 'is_cm': True, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': True, 'is_twist_minimal': True, 'label': '1728.3.h.c', 'level': 1728, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'minimal_twist': '1728.3.h.c', 'nf_label': '4.0.144.1', 'prim_orbit_index': 8, 'qexp_display': 'q+\\beta_{3} q^{7}-5\\beta_{2} q^{13}-11\\beta_1 q^{19}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '2.2.1.d2', 'self_twist_discs': [-3], 'self_twist_type': 1, 'space_label': '1728.3.h', 'trace_display': [0, 0, 0, 0], 'trace_hash': 787505852557777043, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.721', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '174.894', 'prec': 24}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9144.567', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.883', 'prec': 17}, 'traces': [4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -100, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -388, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -668, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -484, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2024, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 572, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
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-0.27539195152395324, 0.10296104175163259, -0.4359877764269005, -0.25, 0.1079673549977883, 0.0, 0.0, -0.25, -0.4250771532232132, 0.07510637621553798, -0.47536294741961665, 0.0, -0.46713182766397077, -0.25, 0.19861667969308935, -0.25, -0.25, 0.0, -0.32414706958276157, 0.07847789520582633, 0.0, 0.0, -0.25, -0.3372770559601984, -0.30193109645145905, -0.2698662756152662, -0.25, -0.25, -0.044698204950955264, -0.25, 0.0, -0.3677495913760541, -0.3871703996041382, -0.25, -0.025700933770443968, -0.25, 0.0, -0.06879520523340936, -0.26748489733770486, 0.0, 0.0, -0.25, -0.3630482749387327, -0.1131627773004443, 0.0, -0.3354025177293023, -0.25, -0.38833945477063125, 0.0, 0.0, -0.40216804656301613, -0.25, -0.34168488454542584, 0.01190134819792012, -0.2932576851318451, 0.0, 0.09049224158176059, 0.0, -0.4785521709842819, -0.25, -0.25, 0.0, -0.25, -0.27851093348016936, -0.3135817029398559, -0.45537164526765833, 0.0, 0.0, -0.22909357363282515, -0.25, -0.38191121171206194, 0.0, 0.21514037361077884, 0.0, 0.0, -0.07611002666278528, -0.25, -0.25, 0.06201296443658036, 0.2088805977469372, -0.25, -0.17057660401762703, -0.10285947426469909, -0.25, 0.19397044225941884, -0.30650296362150636, 0.0, -0.46707280306105564, -0.25, 0.0, 0.08997488617674372, -0.25, 0.1997595043669466, -0.48965265137527036, -0.03810367630687216, -0.3704956058729672, -0.44689677959921903, -0.1909057537949343, -0.25, -0.42098190455301604, -0.16291630351230119, -0.25, 0.0, -0.4576938580349662, 0.0, 0.14107872195901358, -0.30773444081340495, 0.0, -0.22959302968206355, -0.25, -0.43135832907698035, 0.0, -0.25, -0.25, 0.0, -0.25, -0.2509056977874245, -0.25, -0.25360330290998156, -0.25, -0.25, 0.23143695250096133, -0.04651107231743205, -0.25, -0.4475429941109323], 'char_orbit_index': 8, 'conrey_index': 161, 'dual_conrey_index': 161, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': -0.5, 'embedding_root_real': -0.8660254037844386, 'hecke_orbit': 3, 'hecke_orbit_code': 9007680341411520, 'label': '1728.3.h.c.161.1', 'level': 1728, 'weight': 3}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 15552, 'analytic_conductor': 47.084589681459306, 'char_conductor': 24, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 8, 'char_orbit_label': 'h', 'char_order': 2, 'char_parity': -1, 'char_values': [1728, 2, [703, 325, 1217], [2, 1, 1]], 'conrey_index': 161, 'cusp_dim': 540, 'dim': 64, 'eis_dim': 72, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7, 11], 'hecke_orbit_code': 481086670528, 'hecke_orbit_dims': [4, 4, 4, 4, 4, 4, 8, 8, 12, 12], 'label': '1728.3.h', 'level': 1728, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'mf_dim': 612, 'mf_new_dim': 64, 'num_forms': 10, 'prim_orbit_index': 8, 'relative_dim': 64, 'sturm_bound': 864, 'trace_bound': 49, 'trace_display': [0, 0, 0, 0], 'traces': [64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 416, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1056, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 736, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2720, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1632, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2976, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1088, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4640, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 352, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2592, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2880, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1088, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5600, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2656, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1440, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2784, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -992, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4608, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -11072, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2880, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1344, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6368, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2592, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4096, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5248, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8832, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -768, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -7776, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6592, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -13312, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'weight': 3, 'weight_parity': -1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 41054589
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 161, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007680341411520, 'source_is_minimal': True, 'source_label': '1728.3.h.c.161.1', 'source_level': 1728, 'target_conrey_index': 161, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007680341411520, 'target_is_minimal': True, 'target_label': '1728.3.h.c.161.1', 'target_level': 1728, 'twist_class_label': '1728.3.h.c.161.1', 'twist_class_level': 1728, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 3}
  • id: 41054590
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 161, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007680341411520, 'source_is_minimal': True, 'source_label': '1728.3.h.c.161.1', 'source_level': 1728, 'target_conrey_index': 161, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007680341411520, 'target_is_minimal': True, 'target_label': '1728.3.h.c.161.1', 'target_level': 1728, 'twist_class_label': '1728.3.h.c.161.1', 'twist_class_level': 1728, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 3}
  • id: 41054591
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 161, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007680341411520, 'source_is_minimal': True, 'source_label': '1728.3.h.c.161.1', 'source_level': 1728, 'target_conrey_index': 161, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 9007680341411520, 'target_is_minimal': True, 'target_label': '1728.3.h.c.161.3', 'target_level': 1728, 'twist_class_label': '1728.3.h.c.161.1', 'twist_class_level': 1728, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 3}
  • id: 41054592
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 161, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007680341411520, 'source_is_minimal': True, 'source_label': '1728.3.h.c.161.1', 'source_level': 1728, 'target_conrey_index': 161, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 9007680341411520, 'target_is_minimal': True, 'target_label': '1728.3.h.c.161.4', 'target_level': 1728, 'twist_class_label': '1728.3.h.c.161.1', 'twist_class_level': 1728, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 3}
  • id: 41054593
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 161, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007680341411520, 'source_is_minimal': True, 'source_label': '1728.3.h.c.161.1', 'source_level': 1728, 'target_conrey_index': 161, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007680341411520, 'target_is_minimal': True, 'target_label': '1728.3.h.c.161.2', 'target_level': 1728, 'twist_class_label': '1728.3.h.c.161.1', 'twist_class_level': 1728, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 3}
  • id: 41054594
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 161, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007680341411520, 'source_is_minimal': True, 'source_label': '1728.3.h.c.161.1', 'source_level': 1728, 'target_conrey_index': 161, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 9007680341411520, 'target_is_minimal': True, 'target_label': '1728.3.h.c.161.3', 'target_level': 1728, 'twist_class_label': '1728.3.h.c.161.1', 'twist_class_level': 1728, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 3}
  • id: 41054595
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 161, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007680341411520, 'source_is_minimal': True, 'source_label': '1728.3.h.c.161.1', 'source_level': 1728, 'target_conrey_index': 161, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007680341411520, 'target_is_minimal': True, 'target_label': '1728.3.h.c.161.2', 'target_level': 1728, 'twist_class_label': '1728.3.h.c.161.1', 'twist_class_level': 1728, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 3}
  • id: 41054596
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 161, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007680341411520, 'source_is_minimal': True, 'source_label': '1728.3.h.c.161.1', 'source_level': 1728, 'target_conrey_index': 161, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 9007680341411520, 'target_is_minimal': True, 'target_label': '1728.3.h.c.161.4', 'target_level': 1728, 'twist_class_label': '1728.3.h.c.161.1', 'twist_class_level': 1728, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 3}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2159400
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 9007680341411520, 'p': 2}
  • id: 2159401
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 9007680341411520, 'p': 3}
  • id: 2159402
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 9007680341411520, 'p': 5}
  • id: 2159403
    {'charpoly_factorization': [[[-27, 0, 1], 2]], 'hecke_orbit_code': 9007680341411520, 'p': 7}
  • id: 2159404
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 9007680341411520, 'p': 11}
  • id: 2159405
    {'charpoly_factorization': [[[675, 0, 1], 2]], 'hecke_orbit_code': 9007680341411520, 'p': 13}
  • id: 2159406
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 9007680341411520, 'p': 17}
  • id: 2159407
    {'charpoly_factorization': [[[121, 0, 1], 2]], 'hecke_orbit_code': 9007680341411520, 'p': 19}
  • id: 2159408
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 9007680341411520, 'p': 23}
  • id: 2159409
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 9007680341411520, 'p': 29}
  • id: 2159410
    {'charpoly_factorization': [[[-1728, 0, 1], 2]], 'hecke_orbit_code': 9007680341411520, 'p': 31}
  • id: 2159411
    {'charpoly_factorization': [[[3267, 0, 1], 2]], 'hecke_orbit_code': 9007680341411520, 'p': 37}
  • id: 2159412
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 9007680341411520, 'p': 41}
  • id: 2159413
    {'charpoly_factorization': [[[484, 0, 1], 2]], 'hecke_orbit_code': 9007680341411520, 'p': 43}
  • id: 2159414
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 9007680341411520, 'p': 47}
  • id: 2159415
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 9007680341411520, 'p': 53}
  • id: 2159416
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 9007680341411520, 'p': 59}
  • id: 2159417
    {'charpoly_factorization': [[[243, 0, 1], 2]], 'hecke_orbit_code': 9007680341411520, 'p': 61}
  • id: 2159418
    {'charpoly_factorization': [[[11881, 0, 1], 2]], 'hecke_orbit_code': 9007680341411520, 'p': 67}
  • id: 2159419
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 9007680341411520, 'p': 71}
  • id: 2159420
    {'charpoly_factorization': [[[97, 1], 4]], 'hecke_orbit_code': 9007680341411520, 'p': 73}
  • id: 2159421
    {'charpoly_factorization': [[[-7803, 0, 1], 2]], 'hecke_orbit_code': 9007680341411520, 'p': 79}
  • id: 2159422
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 9007680341411520, 'p': 83}
  • id: 2159423
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 9007680341411520, 'p': 89}
  • id: 2159424
    {'charpoly_factorization': [[[167, 1], 4]], 'hecke_orbit_code': 9007680341411520, 'p': 97}
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 8, 'hecke_orbit': 3, 'label': '1728.3.h.c', 'level': 1728, 'portrait': 'data:image/png;base64,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', 'weight': 3}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 31090525
    {'hecke_orbit_code': 9007680341411520, 'n': 1, 'trace_an': 4}
  • id: 31090526
    {'hecke_orbit_code': 9007680341411520, 'n': 2, 'trace_an': 0}
  • id: 31090527
    {'hecke_orbit_code': 9007680341411520, 'n': 3, 'trace_an': 0}
  • id: 31090528
    {'hecke_orbit_code': 9007680341411520, 'n': 4, 'trace_an': 0}
  • id: 31090529
    {'hecke_orbit_code': 9007680341411520, 'n': 5, 'trace_an': 0}
  • id: 31090530
    {'hecke_orbit_code': 9007680341411520, 'n': 6, 'trace_an': 0}
  • id: 31090531
    {'hecke_orbit_code': 9007680341411520, 'n': 7, 'trace_an': 0}
  • id: 31090532
    {'hecke_orbit_code': 9007680341411520, 'n': 8, 'trace_an': 0}
  • id: 31090533
    {'hecke_orbit_code': 9007680341411520, 'n': 9, 'trace_an': 0}
  • id: 31090534
    {'hecke_orbit_code': 9007680341411520, 'n': 10, 'trace_an': 0}
  • id: 31090535
    {'hecke_orbit_code': 9007680341411520, 'n': 11, 'trace_an': 0}
  • id: 31090536
    {'hecke_orbit_code': 9007680341411520, 'n': 12, 'trace_an': 0}
  • id: 31090537
    {'hecke_orbit_code': 9007680341411520, 'n': 13, 'trace_an': 0}
  • id: 31090538
    {'hecke_orbit_code': 9007680341411520, 'n': 14, 'trace_an': 0}
  • id: 31090539
    {'hecke_orbit_code': 9007680341411520, 'n': 15, 'trace_an': 0}
  • id: 31090540
    {'hecke_orbit_code': 9007680341411520, 'n': 16, 'trace_an': 0}
  • id: 31090541
    {'hecke_orbit_code': 9007680341411520, 'n': 17, 'trace_an': 0}
  • id: 31090542
    {'hecke_orbit_code': 9007680341411520, 'n': 18, 'trace_an': 0}
  • id: 31090543
    {'hecke_orbit_code': 9007680341411520, 'n': 19, 'trace_an': 0}
  • id: 31090544
    {'hecke_orbit_code': 9007680341411520, 'n': 20, 'trace_an': 0}
  • id: 31090545
    {'hecke_orbit_code': 9007680341411520, 'n': 21, 'trace_an': 0}
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  • id: 31090747
    {'hecke_orbit_code': 9007680341411520, 'n': 761, 'trace_an': 0}
  • id: 31090748
    {'hecke_orbit_code': 9007680341411520, 'n': 769, 'trace_an': 3452}
  • id: 31090749
    {'hecke_orbit_code': 9007680341411520, 'n': 773, 'trace_an': 0}
  • id: 31090750
    {'hecke_orbit_code': 9007680341411520, 'n': 787, 'trace_an': 0}
  • id: 31090751
    {'hecke_orbit_code': 9007680341411520, 'n': 797, 'trace_an': 0}
  • id: 31090752
    {'hecke_orbit_code': 9007680341411520, 'n': 809, 'trace_an': 0}
  • id: 31090753
    {'hecke_orbit_code': 9007680341411520, 'n': 811, 'trace_an': 0}
  • id: 31090754
    {'hecke_orbit_code': 9007680341411520, 'n': 821, 'trace_an': 0}
  • id: 31090755
    {'hecke_orbit_code': 9007680341411520, 'n': 823, 'trace_an': 0}
  • id: 31090756
    {'hecke_orbit_code': 9007680341411520, 'n': 827, 'trace_an': 0}
  • id: 31090757
    {'hecke_orbit_code': 9007680341411520, 'n': 829, 'trace_an': 0}
  • id: 31090758
    {'hecke_orbit_code': 9007680341411520, 'n': 839, 'trace_an': 0}
  • id: 31090759
    {'hecke_orbit_code': 9007680341411520, 'n': 841, 'trace_an': -3364}
  • id: 31090760
    {'hecke_orbit_code': 9007680341411520, 'n': 853, 'trace_an': 0}
  • id: 31090761
    {'hecke_orbit_code': 9007680341411520, 'n': 857, 'trace_an': 0}
  • id: 31090762
    {'hecke_orbit_code': 9007680341411520, 'n': 859, 'trace_an': 0}
  • id: 31090763
    {'hecke_orbit_code': 9007680341411520, 'n': 863, 'trace_an': 0}
  • id: 31090764
    {'hecke_orbit_code': 9007680341411520, 'n': 877, 'trace_an': 0}
  • id: 31090765
    {'hecke_orbit_code': 9007680341411520, 'n': 881, 'trace_an': 0}
  • id: 31090766
    {'hecke_orbit_code': 9007680341411520, 'n': 883, 'trace_an': 0}
  • id: 31090767
    {'hecke_orbit_code': 9007680341411520, 'n': 887, 'trace_an': 0}
  • id: 31090768
    {'hecke_orbit_code': 9007680341411520, 'n': 907, 'trace_an': 0}
  • id: 31090769
    {'hecke_orbit_code': 9007680341411520, 'n': 911, 'trace_an': 0}
  • id: 31090770
    {'hecke_orbit_code': 9007680341411520, 'n': 919, 'trace_an': 0}
  • id: 31090771
    {'hecke_orbit_code': 9007680341411520, 'n': 929, 'trace_an': 0}
  • id: 31090772
    {'hecke_orbit_code': 9007680341411520, 'n': 937, 'trace_an': -7388}
  • id: 31090773
    {'hecke_orbit_code': 9007680341411520, 'n': 941, 'trace_an': 0}
  • id: 31090774
    {'hecke_orbit_code': 9007680341411520, 'n': 947, 'trace_an': 0}
  • id: 31090775
    {'hecke_orbit_code': 9007680341411520, 'n': 953, 'trace_an': 0}
  • id: 31090776
    {'hecke_orbit_code': 9007680341411520, 'n': 961, 'trace_an': 3068}
  • id: 31090777
    {'hecke_orbit_code': 9007680341411520, 'n': 967, 'trace_an': 0}
  • id: 31090778
    {'hecke_orbit_code': 9007680341411520, 'n': 971, 'trace_an': 0}
  • id: 31090779
    {'hecke_orbit_code': 9007680341411520, 'n': 977, 'trace_an': 0}
  • id: 31090780
    {'hecke_orbit_code': 9007680341411520, 'n': 983, 'trace_an': 0}
  • id: 31090781
    {'hecke_orbit_code': 9007680341411520, 'n': 991, 'trace_an': 0}
  • id: 31090782
    {'hecke_orbit_code': 9007680341411520, 'n': 997, 'trace_an': 0}