Embedded newform data - 1100.4.a.f.1.2

Formats: - HTML - YAML - JSON - 2025-11-01T11:21:49.553692

• 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': 17600, 'analytic_conductor': 64.90210100631468, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [5, -1], [11, 1]], 'atkin_lehner_string': '--+', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [1100, 1, [551, 177, 101], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 76, 'field_disc_factorization': [[2, 2], [19, 1]], 'field_poly': [-19, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [-19, 0, 1]], [7, [-76, 0, 1]]], 'hecke_orbit': 6, 'hecke_orbit_code': 22517998203962444, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 2, 1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '1100.4.a.f', 'level': 1100, 'level_is_powerful': False, '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, 5, 11], 'level_radical': 110, 'minimal_twist': '220.4.b.a', 'nf_label': '2.2.76.1', 'prim_orbit_index': 1, 'qexp_display': 'q+\\beta q^{3}-2\\beta q^{7}-8q^{9}-11q^{11}+2^{4}\\beta q^{13}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1100.4.a', 'trace_display': [0, 0, 0, 0], 'trace_hash': 681787433239107591, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.020', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.919', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.299', 'prec': 17}, {'__RealLiteral__': 0, 'data': '15.579', 'prec': 20}, {'__RealLiteral__': 0, 'data': '4.872', 'prec': 17}, {'__RealLiteral__': 0, 'data': '157.040', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.508', 'prec': 17}, 'traces': [2, 0, 0, 0, 0, 0, 0, 0, -16, 0, -22, 0, 0, 0, 0, 0, 0, 0, -136, 0, -76, 0, 0, 0, 0, 0, 0, 0, 520, 0, 350, 0, 0, 0, 0, 0, 0, 0, 608, 0, -760, 0, 0, 0, 0, 0, 0, 0, -534, 0, -228, 0, 0, 0, 0, 0, 0, 0, -286, 0, 1352, 0, 0, 0, 0, 0, 0, 0, 1026, 0, 2070, 0, 0, 0, 0, 0, 0, 0, 436, 0, -898, 0, 0, 0, 0, 0, 0, 0, 2558, 0, -1216, 0, 0, 0, 0, 0, 0, 0, 176, 0, 1276, 0, 0, 0, 0, 0, 0, 0, -284, 0, -1482, 0, 0, 0, 0, 0, 0, 0, 456, 0, 242, 0, 0, 0, 0, 0, 0, 0, 2660, 0, 1548, 0, 0, 0, 0, 0, 0, 0, 5972, 0, 2660, 0, 0, 0, 0, 0, 0, 0, -3092, 0, 6300, 0, 0, 0, 0, 0, 0, 0, 3952, 0, -2052, 0, 0, 0, 0, 0, 0, 0, 5334, 0, 1088, 0, 0, 0, 0, 0, 0, 0, 1398, 0, -5206, 0, 0, 0, 0, 0, 0, 0, 2660, 0, 2658, 0, 0, 0, 0, 0, 0, 0, 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0, 380784, 0], 'weight': 4, 'weight_parity': 1}
• 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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-0.11072434831992767, -0.30172892251103406, -0.18109892938207062, -0.30276559596203834, -0.46347098961778566, -0.37812987873056997, -0.22046862388936647, -0.2182613642039762, -0.22569451927044143, -0.20255226507398746, -0.1858437407316072, -0.07683695487178695, -0.2941272160890978, -0.10008000183237149], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 0.0, 'embedding_root_real': 4.358898943540674, 'hecke_orbit': 6, 'hecke_orbit_code': 22517998203962444, 'label': '1100.4.a.f.1.2', 'level': 1100, 'weight': 4}
• 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

  
  {'ALdims': [0, 0, 0, 0, 11, 12, 13, 11], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [6, 6, 6, 6, 3, 3, 3, 3], 'ALdims_old': [69, 60, 63, 66, 55, 54, 53, 55], 'Nk2': 17600, 'analytic_conductor': 64.90210100631468, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [1100, 1, [551, 177, 101], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 522, 'dim': 47, 'eis_dim': 36, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 7], 'hecke_orbit_code': 67109964, 'hecke_orbit_dims': [1, 1, 1, 1, 2, 2, 2, 2, 3, 5, 5, 5, 5, 6, 6], 'label': '1100.4.a', 'level': 1100, 'level_is_powerful': False, '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, 5, 11], 'level_radical': 110, 'mf_dim': 558, 'mf_new_dim': 47, 'num_forms': 15, 'plus_dim': 25, 'prim_orbit_index': 1, 'relative_dim': 47, 'sturm_bound': 720, 'trace_bound': 9, 'trace_display': [0, 8, 0, -16], 'traces': [47, 0, 8, 0, 0, 0, -16, 0, 417, 0, -11, 0, 106, 0, 0, 0, 50, 0, -156, 0, -4, 0, 176, 0, 0, 0, -64, 0, 462, 0, 392, 0, -22, 0, 0, 0, 124, 0, 1296, 0, 370, 0, -76, 0, 0, 0, 612, 0, 2447, 0, 584, 0, -638, 0, 0, 0, -528, 0, 36, 0, -530, 0, 344, 0, 0, 0, -1416, 0, -534, 0, -2544, 0, 270, 0, 0, 0, 396, 0, 2048, 0, 2343, 0, 1644, 0, 0, 0, -4176, 0, -2864, 0, 2440, 0, -1094, 0, 0, 0, 1592, 0, 33, 0, 1154, 0, 1284, 0, 0, 0, 5100, 0, 9330, 0, -724, 0, -216, 0, 0, 0, 634, 0, -7048, 0, 5687, 0, 1472, 0, 0, 0, -3960, 0, 6364, 0, 452, 0, 3872, 0, 0, 0, 3392, 0, -1924, 0, 12032, 0, -550, 0, 0, 0, -1424, 0, 2298, 0, 6688, 0, 1166, 0, 0, 0, -992, 0, -840, 0, 3484, 0, -4416, 0, 0, 0, 608, 0, -1219, 0, -20572, 0, -2674, 0, 0, 0, -9510, 0, -3356, 0, -10740, 0, 1264, 0, 0, 0, 2486, 0, 236, 0, -680, 0, 7558, 0, 0, 0, -11410, 0, -820, 0, 3626, 0, 8680, 0, 0, 0, 16460, 0, -2288, 0, -5804, 0, 9286, 0, 0, 0, 5836, 0, -4600, 0, -25780, 0, -7304, 0, 0, 0, 3212, 0, 14316, 0, 1936, 0, 1294, 0, 0, 0, -13100, 0, -3016, 0, 22786, 0, 6440, 0, 0, 0, 8992, 0, -2100, 0, 17284, 0, 770, 0, 0, 0, -1634, 0, 16928, 0, 19614, 0, -14696, 0, 0, 0, -4296, 0, -37246, 0, -7264, 0, -18056, 0, 0, 0, 6534, 0, 38580, 0, -18010, 0, -2172, 0, 0, 0, -11592, 0, 10157, 0, 11768, 0, -9606, 0, 0, 0, -1738, 0, 4976, 0, 18016, 0, 12280, 0, 0, 0, -11932, 0, 32560, 0, 19780, 0, -4020, 0, 0, 0, 8000, 0, 1474, 0, -1644, 0, 32048, 0, 0, 0, 2568, 0, 15728, 0, -37716, 0, 946, 0, 0, 0, 15386, 0, -3168, 0, 5566, 0, -17936, 0, 0, 0, -7764, 0, -12966, 0, 97488, 0, 7996, 0, 0, 0, 8200, 0, 46968, 0, 34039, 0, 968, 0, 0, 0, -6024, 0, -57622, 0, -32976, 0, -7506, 0, 0, 0, -28892, 0, 32188, 0, -43184, 0, -20496, 0, 0, 0, 13220, 0, -38944, 0, -27024, 0, 9820, 0, 0, 0, 8506, 0, -10424, 0, -15022, 0, 5872, 0, 0, 0, -6358, 0, 6926, 0, -60088, 0, 41964, 0, 0, 0, 19700, 0, -32940, 0, -64014, 0, 7188, 0, 0, 0, -6712, 0, 3696, 0, 20400, 0, 22496, 0, 0, 0, -8000, 0, -36712, 0, 28481, 0, -44824, 0, 0, 0, 10248, 0, -31976, 0, -8294, 0, -67780, 0, 0, 0, -8938, 0, 17504, 0, -16810, 0, 11160, 0, 0, 0, 1232, 0, -42228, 0, -10372, 0, 11792, 0, 0, 0, -6218, 0, -7224, 0, -51452, 0, -88832, 0, 0, 0, 3872, 0, -6112, 0, 25196, 0, -15228, 0, 0, 0, 42772, 0, -32452, 0, -10944, 0, 12976, 0, 0, 0, 34680, 0, 2068, 0, -16032, 0, -81504, 0, 0, 0, -10516, 0, -75672, 0, -70444, 0, 28908, 0, 0, 0, 68888, 0, 9185, 0, 51636, 0, 29172, 0, 0, 0, -35294, 0, 5533, 0, 31350, 0, 140116, 0, 0, 0, -51092, 0, -46938, 0, 2764, 0, 9664, 0, 0, 0, 214, 0, -30788, 0, -26796, 0, -66220, 0, 0, 0, -19072, 0, -15390, 0, 35820, 0, 51406, 0, 0, 0, 4304, 0, 31448, 0, -7616, 0, 18326, 0, 0, 0, -16568, 0, 3016, 0, -46600, 0, -24650, 0, 0, 0, -35000, 0, -888, 0, 21598, 0, -66072, 0, 0, 0, 73824, 0, -17680, 0, -68480, 0, 9106, 0, 0, 0, -35330, 0, -57260, 0, 19350, 0, -20344, 0, 0, 0, -13112, 0, 21752, 0, -103052, 0, 95224, 0, 0, 0, 42330, 0, -102052, 0, 48088, 0, 7560, 0, 0, 0, -1744, 0, -17534, 0, 261040, 0, 70796, 0, 0, 0, -63090, 0, 76052, 0, -4400, 0, -54296, 0, 0, 0, 39016, 0, 124002, 0, -10186, 0, -126094, 0, 0, 0, -49818, 0, 34080, 0, 27308, 0, 12736, 0, 0, 0, -40044, 0, -59228, 0, 113724, 0, 52008, 0, 0, 0, -40780, 0, 140792, 0, -172486, 0, -96520, 0, 0, 0, 49056, 0, -106436, 0, 81784, 0, -65282, 0, 0, 0, 151276, 0, 25116, 0, -74640, 0, 24832, 0, 0, 0, -12992, 0, 72531, 0, 59984, 0, -152526, 0, 0, 0, -9658, 0, 13860, 0, -192984, 0, 114736, 0, 0, 0, 34188, 0, 6200, 0, 41688, 0, 21378, 0, 0, 0, 9562, 0, -14124, 0, 110922, 0, 210848, 0, 0, 0, -36824, 0, 37826, 0, 84640, 0, 32066, 0, 0, 0, 41124, 0, -43104, 0, -43142, 0, -173136, 0, 0, 0, -38140, 0, 103404, 0, -46632, 0, 92468, 0, 0, 0, 37808, 0, 39392, 0, -142638, 0, 27126, 0, 0, 0, -128128, 0, -3926, 0, -3572, 0, -65112, 0, 0, 0, -21944, 0, 254632, 0, 113930, 0, -110360, 0, 0, 0, 62236, 0, -25952, 0, -45552, 0, -8078, 0, 0, 0, -104690, 0, 51660, 0, 84605, 0, -103728, 0, 0, 0, -1936, 0, -59224, 0, -176304, 0, 200926, 0, 0, 0, 53526, 0, 125164, 0, -4000, 0, 55860, 0, 0, 0, 87600, 0, -8140, 0, 180568, 0, 326534, 0, 0, 0, 24434, 0, -177464, 0, -96284, 0, -35584, 0, 0, 0, -26104, 0, 132224, 0, -43659, 0, -243056, 0, 0, 0, -122280, 0, 91520, 0, -72404, 0, 183896, 0, 0, 0, -84984, 0, -171898, 0, 158344, 0, 48312, 0, 0, 0, -141560, 0, -64272, 0, 115200, 0, -139472, 0, 0, 0, 111180, 0, -52414, 0, 263748, 0, -172448, 0, 0, 0, 61550, 0, 18984, 0, -219662, 0, -13416, 0, 0, 0, 10856, 0, 96812, 0, 40996, 0, -169046, 0, 0, 0, -6688, 0, 215088, 0, -196535, 0, 328908, 0, 0, 0, 72144, 0, 180304, 0, 65788, 0, 2824, 0, 0, 0, 119400, 0, -3718, 0, 378070, 0, 304488, 0, 0, 0, 43456, 0, -44292, 0, -170672, 0, 9046, 0, 0, 0, 32382, 0, -111580, 0], 'weight': 4, '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: 45054788
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 22517998203962444, 'source_is_minimal': False, 'source_label': '1100.4.a.f.1.2', 'source_level': 1100, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 22517998203962444, 'target_is_minimal': False, 'target_label': '1100.4.a.f.1.2', 'target_level': 1100, 'twist_class_label': '220.4.b.a.89.1', 'twist_class_level': 220, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 45054789
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 22517998203962444, 'source_is_minimal': False, 'source_label': '1100.4.a.f.1.2', 'source_level': 1100, 'target_conrey_index': 89, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 68786585820, 'target_is_minimal': True, 'target_label': '220.4.b.a.89.1', 'target_level': 220, 'twist_class_label': '220.4.b.a.89.1', 'twist_class_level': 220, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 45054790
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 22517998203962444, 'source_is_minimal': False, 'source_label': '1100.4.a.f.1.2', 'source_level': 1100, 'target_conrey_index': 89, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 68786585820, 'target_is_minimal': True, 'target_label': '220.4.b.a.89.2', 'target_level': 220, 'twist_class_label': '220.4.b.a.89.1', 'twist_class_level': 220, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 45054791
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 22517998203962444, 'source_is_minimal': False, 'source_label': '1100.4.a.f.1.2', 'source_level': 1100, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22517998203962444, 'target_is_minimal': False, 'target_label': '1100.4.a.f.1.1', 'target_level': 1100, 'twist_class_label': '220.4.b.a.89.1', 'twist_class_level': 220, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 4}
  • id: 45054792
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 22517998203962444, 'source_is_minimal': False, 'source_label': '1100.4.a.f.1.2', 'source_level': 1100, 'target_conrey_index': 1189, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 137506064316, 'target_is_minimal': False, 'target_label': '1980.4.c.a.1189.1', 'target_level': 1980, 'twist_class_label': '220.4.b.a.89.1', 'twist_class_level': 220, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 45054793
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 22517998203962444, 'source_is_minimal': False, 'source_label': '1100.4.a.f.1.2', 'source_level': 1100, 'target_conrey_index': 1189, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 137506064316, 'target_is_minimal': False, 'target_label': '1980.4.c.a.1189.2', 'target_level': 1980, 'twist_class_label': '220.4.b.a.89.1', 'twist_class_level': 220, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 4}
  • id: 45054794
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 22517998203962444, 'source_is_minimal': False, 'source_label': '1100.4.a.f.1.2', 'source_level': 1100, 'target_conrey_index': 529, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503668413956976, 'target_is_minimal': False, 'target_label': '880.4.b.b.529.1', 'target_level': 880, 'twist_class_label': '220.4.b.a.89.1', 'twist_class_level': 220, 'twisting_char_label': '20.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 45054795
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 22517998203962444, 'source_is_minimal': False, 'source_label': '1100.4.a.f.1.2', 'source_level': 1100, 'target_conrey_index': 529, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4503668413956976, 'target_is_minimal': False, 'target_label': '880.4.b.b.529.2', 'target_level': 880, 'twist_class_label': '220.4.b.a.89.1', 'twist_class_level': 220, 'twisting_char_label': '20.7', 'twisting_conrey_index': 7, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1684625
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 22517998203962444, 'p': 2}
  • id: 1684626
    {'charpoly_factorization': [[[-19, 0, 1], 1]], 'hecke_orbit_code': 22517998203962444, 'p': 3}
  • id: 1684627
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 22517998203962444, 'p': 5}
  • id: 1684628
    {'charpoly_factorization': [[[-76, 0, 1], 1]], 'hecke_orbit_code': 22517998203962444, 'p': 7}
  • id: 1684629
    {'charpoly_factorization': [[[11, 1], 2]], 'hecke_orbit_code': 22517998203962444, 'p': 11}
  • id: 1684630
    {'charpoly_factorization': [[[-4864, 0, 1], 1]], 'hecke_orbit_code': 22517998203962444, 'p': 13}
  • id: 1684631
    {'charpoly_factorization': [[[-684, 0, 1], 1]], 'hecke_orbit_code': 22517998203962444, 'p': 17}
  • id: 1684632
    {'charpoly_factorization': [[[68, 1], 2]], 'hecke_orbit_code': 22517998203962444, 'p': 19}
  • id: 1684633
    {'charpoly_factorization': [[[-13851, 0, 1], 1]], 'hecke_orbit_code': 22517998203962444, 'p': 23}
  • id: 1684634
    {'charpoly_factorization': [[[-260, 1], 2]], 'hecke_orbit_code': 22517998203962444, 'p': 29}
  • id: 1684635
    {'charpoly_factorization': [[[-175, 1], 2]], 'hecke_orbit_code': 22517998203962444, 'p': 31}
  • id: 1684636
    {'charpoly_factorization': [[[-28899, 0, 1], 1]], 'hecke_orbit_code': 22517998203962444, 'p': 37}
  • id: 1684637
    {'charpoly_factorization': [[[380, 1], 2]], 'hecke_orbit_code': 22517998203962444, 'p': 41}
  • id: 1684638
    {'charpoly_factorization': [[[-93100, 0, 1], 1]], 'hecke_orbit_code': 22517998203962444, 'p': 43}
  • id: 1684639
    {'charpoly_factorization': [[[-93100, 0, 1], 1]], 'hecke_orbit_code': 22517998203962444, 'p': 47}
  • id: 1684640
    {'charpoly_factorization': [[[-205504, 0, 1], 1]], 'hecke_orbit_code': 22517998203962444, 'p': 53}
  • id: 1684641
    {'charpoly_factorization': [[[143, 1], 2]], 'hecke_orbit_code': 22517998203962444, 'p': 59}
  • id: 1684642
    {'charpoly_factorization': [[[-676, 1], 2]], 'hecke_orbit_code': 22517998203962444, 'p': 61}
  • id: 1684643
    {'charpoly_factorization': [[[-278179, 0, 1], 1]], 'hecke_orbit_code': 22517998203962444, 'p': 67}
  • id: 1684644
    {'charpoly_factorization': [[[-1035, 1], 2]], 'hecke_orbit_code': 22517998203962444, 'p': 71}
  • id: 1684645
    {'charpoly_factorization': [[[-109744, 0, 1], 1]], 'hecke_orbit_code': 22517998203962444, 'p': 73}
  • id: 1684646
    {'charpoly_factorization': [[[-218, 1], 2]], 'hecke_orbit_code': 22517998203962444, 'p': 79}
  • id: 1684647
    {'charpoly_factorization': [[[-575244, 0, 1], 1]], 'hecke_orbit_code': 22517998203962444, 'p': 83}
  • id: 1684648
    {'charpoly_factorization': [[[-1279, 1], 2]], 'hecke_orbit_code': 22517998203962444, 'p': 89}
  • id: 1684649
    {'charpoly_factorization': [[[-595251, 0, 1], 1]], 'hecke_orbit_code': 22517998203962444, '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': 1, 'hecke_orbit': 6, 'label': '1100.4.a.f', 'level': 1100, 'portrait': 'data:image/png;base64,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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 43529737
    {'hecke_orbit_code': 22517998203962444, 'n': 1, 'trace_an': 2}
  • id: 43529738
    {'hecke_orbit_code': 22517998203962444, 'n': 2, 'trace_an': 0}
  • id: 43529739
    {'hecke_orbit_code': 22517998203962444, 'n': 3, 'trace_an': 0}
  • id: 43529740
    {'hecke_orbit_code': 22517998203962444, 'n': 4, 'trace_an': 0}
  • id: 43529741
    {'hecke_orbit_code': 22517998203962444, 'n': 5, 'trace_an': 0}
  • id: 43529742
    {'hecke_orbit_code': 22517998203962444, 'n': 6, 'trace_an': 0}
  • id: 43529743
    {'hecke_orbit_code': 22517998203962444, 'n': 7, 'trace_an': 0}
  • id: 43529744
    {'hecke_orbit_code': 22517998203962444, 'n': 8, 'trace_an': 0}
  • id: 43529745
    {'hecke_orbit_code': 22517998203962444, 'n': 9, 'trace_an': -16}
  • id: 43529746
    {'hecke_orbit_code': 22517998203962444, 'n': 10, 'trace_an': 0}
  • id: 43529747
    {'hecke_orbit_code': 22517998203962444, 'n': 11, 'trace_an': -22}
  • id: 43529748
    {'hecke_orbit_code': 22517998203962444, 'n': 12, 'trace_an': 0}
  • id: 43529749
    {'hecke_orbit_code': 22517998203962444, 'n': 13, 'trace_an': 0}
  • id: 43529750
    {'hecke_orbit_code': 22517998203962444, 'n': 14, 'trace_an': 0}
  • id: 43529751
    {'hecke_orbit_code': 22517998203962444, 'n': 15, 'trace_an': 0}
  • id: 43529752
    {'hecke_orbit_code': 22517998203962444, 'n': 16, 'trace_an': 0}
  • id: 43529753
    {'hecke_orbit_code': 22517998203962444, 'n': 17, 'trace_an': 0}
  • id: 43529754
    {'hecke_orbit_code': 22517998203962444, 'n': 18, 'trace_an': 0}
  • id: 43529755
    {'hecke_orbit_code': 22517998203962444, 'n': 19, 'trace_an': -136}
  • id: 43529756
    {'hecke_orbit_code': 22517998203962444, 'n': 20, 'trace_an': 0}
  • id: 43529757
    {'hecke_orbit_code': 22517998203962444, 'n': 21, 'trace_an': -76}
  • id: 43529758
    {'hecke_orbit_code': 22517998203962444, 'n': 22, 'trace_an': 0}
  • id: 43529759
    {'hecke_orbit_code': 22517998203962444, 'n': 23, 'trace_an': 0}
  • id: 43529760
    {'hecke_orbit_code': 22517998203962444, 'n': 24, 'trace_an': 0}
  • id: 43529761
    {'hecke_orbit_code': 22517998203962444, 'n': 25, 'trace_an': 0}
  • id: 43529762
    {'hecke_orbit_code': 22517998203962444, 'n': 26, 'trace_an': 0}
  • id: 43529763
    {'hecke_orbit_code': 22517998203962444, 'n': 27, 'trace_an': 0}
  • id: 43529764
    {'hecke_orbit_code': 22517998203962444, 'n': 28, 'trace_an': 0}
  • id: 43529765
    {'hecke_orbit_code': 22517998203962444, 'n': 29, 'trace_an': 520}
  • id: 43529766
    {'hecke_orbit_code': 22517998203962444, 'n': 30, 'trace_an': 0}
  • id: 43529767
    {'hecke_orbit_code': 22517998203962444, 'n': 31, 'trace_an': 350}
  • id: 43529768
    {'hecke_orbit_code': 22517998203962444, 'n': 32, 'trace_an': 0}
  • id: 43529769
    {'hecke_orbit_code': 22517998203962444, 'n': 33, 'trace_an': 0}
  • id: 43529770
    {'hecke_orbit_code': 22517998203962444, 'n': 34, 'trace_an': 0}
  • id: 43529771
    {'hecke_orbit_code': 22517998203962444, 'n': 35, 'trace_an': 0}
  • id: 43529772
    {'hecke_orbit_code': 22517998203962444, 'n': 36, 'trace_an': 0}
  • id: 43529773
    {'hecke_orbit_code': 22517998203962444, 'n': 37, 'trace_an': 0}
  • id: 43529774
    {'hecke_orbit_code': 22517998203962444, 'n': 38, 'trace_an': 0}
  • id: 43529775
    {'hecke_orbit_code': 22517998203962444, 'n': 39, 'trace_an': 608}
  • id: 43529776
    {'hecke_orbit_code': 22517998203962444, 'n': 40, 'trace_an': 0}
  • id: 43529777
    {'hecke_orbit_code': 22517998203962444, 'n': 41, 'trace_an': -760}
  • id: 43529778
    {'hecke_orbit_code': 22517998203962444, 'n': 42, 'trace_an': 0}
  • id: 43529779
    {'hecke_orbit_code': 22517998203962444, 'n': 43, 'trace_an': 0}
  • id: 43529780
    {'hecke_orbit_code': 22517998203962444, 'n': 44, 'trace_an': 0}
  • id: 43529781
    {'hecke_orbit_code': 22517998203962444, 'n': 45, 'trace_an': 0}
  • id: 43529782
    {'hecke_orbit_code': 22517998203962444, 'n': 46, 'trace_an': 0}
  • id: 43529783
    {'hecke_orbit_code': 22517998203962444, 'n': 47, 'trace_an': 0}
  • id: 43529784
    {'hecke_orbit_code': 22517998203962444, 'n': 48, 'trace_an': 0}
  • id: 43529785
    {'hecke_orbit_code': 22517998203962444, 'n': 49, 'trace_an': -534}
  • id: 43529786
    {'hecke_orbit_code': 22517998203962444, 'n': 50, 'trace_an': 0}
  • id: 43529787
    {'hecke_orbit_code': 22517998203962444, 'n': 51, 'trace_an': -228}
  • id: 43529788
    {'hecke_orbit_code': 22517998203962444, 'n': 52, 'trace_an': 0}
  • id: 43529789
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  • id: 43529890
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  • id: 43529891
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  • id: 43529892
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  • id: 43529893
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  • id: 43529895
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  • id: 43529896
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  • id: 43529899
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  • id: 43529900
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  • id: 43529901
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  • id: 43529902
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  • id: 43529903
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  • id: 43529904
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  • id: 43529905
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  • id: 43529906
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  • id: 43529907
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  • id: 43529908
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  • id: 43529910
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  • id: 43529911
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  • id: 43529912
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  • id: 43529914
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  • id: 43529916
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  • id: 43529917
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  • id: 43529918
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  • id: 43529919
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  • id: 43529920
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  • id: 43529921
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  • id: 43529922
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  • id: 43529923
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  • id: 43529924
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  • id: 43529926
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  • id: 43529927
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  • id: 43529928
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  • id: 43529929
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  • id: 43529930
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  • id: 43529931
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  • id: 43529932
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  • id: 43529933
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  • id: 43529936
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  • id: 43529937
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  • id: 43529938
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  • id: 43529939
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  • id: 43529940
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  • id: 43529943
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  • id: 43529944
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  • id: 43529945
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    {'hecke_orbit_code': 22517998203962444, 'n': 953, 'trace_an': 0}
  • id: 43529988
    {'hecke_orbit_code': 22517998203962444, 'n': 961, 'trace_an': 1668}
  • id: 43529989
    {'hecke_orbit_code': 22517998203962444, 'n': 967, 'trace_an': 0}
  • id: 43529990
    {'hecke_orbit_code': 22517998203962444, 'n': 971, 'trace_an': -27930}
  • id: 43529991
    {'hecke_orbit_code': 22517998203962444, 'n': 977, 'trace_an': 0}
  • id: 43529992
    {'hecke_orbit_code': 22517998203962444, 'n': 983, 'trace_an': 0}
  • id: 43529993
    {'hecke_orbit_code': 22517998203962444, 'n': 991, 'trace_an': 110048}
  • id: 43529994
    {'hecke_orbit_code': 22517998203962444, 'n': 997, 'trace_an': 0}