Embedded newform data - 1456.4.a.b.1.1

Formats: - HTML - YAML - JSON - 2026-03-15T05:47:38.816972

• 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': 23296, 'analytic_conductor': 85.90678096835833, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [7, 1], [13, -1]], 'atkin_lehner_string': '-+-', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [1456, 1, [911, 1093, 1249, 561], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [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': 0, 'hecke_cutters': [[3, [7, 1]], [5, [0, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503599694480816, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], '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': '1456.4.a.b', 'level': 1456, '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, 7, 13], 'level_radical': 182, 'minimal_twist': '182.4.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-7q^{3}-7q^{7}+22q^{9}-39q^{11}+13q^{13}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1456.4.a', 'trace_display': [0, -7, 0, -7], 'trace_hash': 1563725147940536743, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.027', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.007', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.118', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.979', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.394', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.862', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.002', 'prec': 17}, 'traces': [1, 0, -7, 0, 0, 0, -7, 0, 22, 0, -39, 0, 13, 0, 0, 0, 24, 0, -38, 0, 49, 0, -39, 0, -125, 0, 35, 0, -96, 0, -227, 0, 273, 0, 0, 0, 425, 0, -91, 0, -105, 0, -344, 0, 0, 0, -99, 0, 49, 0, -168, 0, -540, 0, 0, 0, 266, 0, -114, 0, -565, 0, -154, 0, 0, 0, 385, 0, 273, 0, 156, 0, -673, 0, 875, 0, 273, 0, -749, 0, -839, 0, 1044, 0, 0, 0, 672, 0, -690, 0, -91, 0, 1589, 0, 0, 0, 317, 0, -858, 0, -663, 0, 646, 0, 0, 0, 744, 0, 218, 0, -2975, 0, -1623, 0, 0, 0, 286, 0, -168, 0, 190, 0, 735, 0, 0, 0, -659, 0, 2408, 0, 216, 0, 266, 0, 0, 0, 1842, 0, 628, 0, 693, 0, -507, 0, 0, 0, -343, 0, 321, 0, 1600, 0, 528, 0, 0, 0, 1127, 0, 3780, 0, 273, 0, 1204, 0, 0, 0, 600, 0, 169, 0, -836, 0, -2154, 0, 875, 0, 798, 0, 2850, 0, 4205, 0, 3955, 0, 0, 0, -936, 0, -245, 0, 4152, 0, -3148, 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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-0.19284295444339028, -0.2622375256318581, -0.20526817165287756, -0.37359713395933136, -0.21537412968108344, -0.3338795236516758, -0.2719686039739407, -0.1504179363069191, -0.28694846112808414, -0.3302342524162189, -0.23401332505931505, -0.05308402294810298, -0.39507780329654923, -0.028774467306857194, -0.28149696511362415, -0.2504871149713484, -0.15718375192703934, -0.2544409691839349, -0.41302420071965346, -0.09935084754331758, -0.2281735784727213, -0.3313951756835359, -0.17020189355929372, -0.0644420628780698, -0.24881024348572545, -0.1108352907561527, -0.30269753720403997, -0.39892312225411786, -0.33868010702632356, -0.2462054066415249, -0.44509880969808513, -0.2890821894455284, -0.4157876198052986, -0.27702592327182834, -0.22802920211878372, -0.19484036031857366, -0.20172195536044474, -0.3307288767156823, -0.35914778964895944, -0.1198021482920972, -0.12450084233829989, -0.3926253710833277, -0.11983360728782545, -0.32531139566476647, -0.2558853580204402, -0.027554802396514325, -0.3388241457183305, -0.32556490423830176, -0.3072145233879172, -0.26536497292287886, -0.28723903981633664, -0.23226151470059458, -0.43786002123791457, -0.36756329878705873, -0.24311183390425195, -0.39729304352191624, -0.2860955689388684, -0.38947266166170025, -0.21429754213636035, -0.28080933118555473, -0.15188198522039498, -0.16798975365426758, -0.19053876249992913, -0.25774449334776806, -0.29634026188867757, -0.29860145218324624, -0.17629300046591798, -0.30246709640478736, -0.3327373757074797, -0.19065280534854623, -0.2395600563003494, -0.11613015784779629, -0.31448102812959, -0.12497875052054822, -0.3324868740609159, -0.16476065750643618, -0.11397834794606501, -0.35205556939480537, -0.23188740312032405, -0.40116971820224506, -0.2999485788408811, -0.1949715603531739, -0.3269976306657781], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': 0.0, 'hecke_orbit': 2, 'hecke_orbit_code': 4503599694480816, 'label': '1456.4.a.b.1.1', 'level': 1456, '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': [15, 12, 12, 15, 14, 14, 13, 13], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [3, 3, 3, 3, 3, 3, 3, 3], 'ALdims_old': [70, 68, 70, 68, 66, 71, 70, 69], 'Nk2': 23296, 'analytic_conductor': 85.90678096835833, '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': [1456, 1, [911, 1093, 1249, 561], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 660, 'dim': 108, 'eis_dim': 24, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 5], 'hecke_orbit_code': 67110320, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 5, 5, 6, 7, 7, 7, 8, 8], 'label': '1456.4.a', 'level': 1456, '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, 7, 13], 'level_radical': 182, 'mf_dim': 684, 'mf_new_dim': 108, 'num_forms': 30, 'plus_dim': 57, 'prim_orbit_index': 1, 'relative_dim': 108, 'sturm_bound': 896, 'trace_bound': 5, 'trace_display': [0, 0, 0, -14], 'traces': [108, 0, 0, 0, 0, 0, -14, 0, 932, 0, 152, 0, 0, 0, -144, 0, 152, 0, -48, 0, 0, 0, 164, 0, 2700, 0, -888, 0, 200, 0, 528, 0, 768, 0, 0, 0, 8, 0, -312, 0, 40, 0, -28, 0, 0, 0, -2328, 0, 5292, 0, 1488, 0, -376, 0, 144, 0, 768, 0, 0, 0, 1824, 0, -630, 0, 0, 0, -216, 0, 1056, 0, 72, 0, -1656, 0, -6544, 0, -952, 0, 2532, 0, 6748, 0, 456, 0, -1776, 0, -1288, 0, 1880, 0, 546, 0, -912, 0, 948, 0, 72, 0, 4464, 0, 0, 0, 7728, 0, 0, 0, 3760, 0, -4648, 0, -6936, 0, 56, 0, 8232, 0, 0, 0, -2380, 0, 16228, 0, -1328, 0, 0, 0, 7704, 0, 7840, 0, -3000, 0, 1008, 0, -1032, 0, 4632, 0, -96, 0, -5856, 0, 0, 0, 0, 0, 0, 0, -5000, 0, -8096, 0, 3576, 0, -19540, 0, 2960, 0, 7392, 0, -560, 0, 0, 0, 6672, 0, -7736, 0, 18252, 0, 11096, 0, -1168, 0, -2450, 0, 11536, 0, -1804, 0, -7104, 0, 9208, 0, 1360, 0, -5720, 0, 0, 0, -6064, 0, -136, 0, 0, 0, -3848, 0, -9504, 0, -9984, 0, 7196, 0, 4752, 0, 2700, 0, -17776, 0, -1468, 0, 0, 0, 22512, 0, 0, 0, 25192, 0, 0, 0, 11376, 0, 18692, 0, -696, 0, -19984, 0, 0, 0, -3528, 0, 31668, 0, -9216, 0, -9304, 0, 22328, 0, -51216, 0, 0, 0, -2964, 0, 1264, 0, 2704, 0, 6656, 0, -12264, 0, -10872, 0, 10500, 0, 776, 0, -5004, 0, 12448, 0, 2888, 0, -4016, 0, 24288, 0, 0, 0, 4280, 0, -2136, 0, 50568, 0, -9704, 0, 9768, 0, 5872, 0, -5964, 0, 39956, 0, 41208, 0, 28784, 0, 18976, 0, 3472, 0, 0, 0, 4200, 0, -2664, 0, 2448, 0, 16872, 0, 29728, 0, 18720, 0, 344, 0, 18760, 0, -968, 0, -21560, 0, -2304, 0, -25880, 0, -11232, 0, 86456, 0, -2128, 0, 48368, 0, 15704, 0, -21776, 0, -4088, 0, 58992, 0, -11328, 0, -686, 0, -38224, 0, 25680, 0, -31520, 0, -11232, 0, -34808, 0, -77240, 0, 0, 0, -18024, 0, 51140, 0, -58264, 0, -3888, 0, -4920, 0, 5352, 0, 29372, 0, 4712, 0, -7848, 0, 0, 0, -53104, 0, -24352, 0, 39424, 0, 3024, 0, 46212, 0, -14616, 0, -9024, 0, -28384, 0, 46144, 0, -576, 0, -18480, 0, -33224, 0, 4836, 0, -8848, 0, 73352, 0, -16136, 0, -62088, 0, 0, 0, -17700, 0, -42800, 0, -26360, 0, -53240, 0, -86032, 0, -1688, 0, 5124, 0, 7904, 0, -7408, 0, -4632, 0, -3984, 0, -9280, 0, 48696, 0, 45668, 0, 64692, 0, -26400, 0, -105096, 0, 11640, 0, 33888, 0, -14800, 0, -9100, 0, 6520, 0, -240, 0, -16592, 0, 11064, 0, -59488, 0, -112112, 0, -10360, 0, 47592, 0, -6560, 0, -21200, 0, 20920, 0, -17552, 0, 3120, 0, 11592, 0, 35328, 0, -38600, 0, -6128, 0, -42368, 0, -288, 0, -6072, 0, 9632, 0, 8328, 0, -8336, 0, 36552, 0, -5104, 0, 0, 0, -23488, 0, 0, 0, 86480, 0, 85216, 0, -18480, 0, 103184, 0, 52328, 0, -78176, 0, 46144, 0, -105488, 0, 14236, 0, -88080, 0, 0, 0, 109272, 0, 20352, 0, 7448, 0, 48456, 0, -128616, 0, 18720, 0, 10428, 0, 50208, 0, 67592, 0, -19376, 0, 117728, 0, -30680, 0, 0, 0, 70464, 0, 15712, 0, 34336, 0, -40110, 0, -15176, 0, -12, 0, -129936, 0, 43752, 0, -10728, 0, 4080, 0, 0, 0, -135696, 0, 0, 0, -119688, 0, 16304, 0, -54672, 0, 55000, 0, 0, 0, -110688, 0, -107212, 0, -4104, 0, 18760, 0, 6992, 0, 32080, 0, 0, 0, 36660, 0, 28744, 0, 126656, 0, -66024, 0, 26312, 0, 6000, 0, -3864, 0, 116348, 0, 25584, 0, 56592, 0, -38352, 0, 78768, 0, -19528, 0, 0, 0, 160080, 0, 712, 0, -88136, 0, -203824, 0, -2872, 0, -18336, 0, 5320, 0, -3080, 0, -176880, 0, -153464, 0, -15780, 0, 49968, 0, 0, 0, -15008, 0, -85140, 0, -13216, 0, -71952, 0, 17384, 0, -227472, 0, -16512, 0, -5040, 0, -96032, 0, 124168, 0, -76304, 0, -4200, 0, -208, 0, -204336, 0, -74648, 0, -112120, 0, -2000, 0, -74664, 0, 80904, 0, -261144, 0, 116720, 0, 25452, 0, 48008, 0, 57916, 0, 142416, 0, 48984, 0, -50512, 0, 145856, 0, 16688, 0, 96720, 0, -59352, 0, 133248, 0, 175580, 0, -148760, 0, -1152, 0, -7056, 0, -42600, 0, 28680, 0, 0, 0, 40056, 0, 41872, 0, 66224, 0, 30968, 0, -1516, 0, -856, 0, 141840, 0, -39928, 0, -219256, 0, 2728, 0, 1428, 0, -123168, 0, -56992, 0, -108584, 0, -155408, 0, 22016, 0, -116120, 0, -29736, 0, -192888, 0, -118784, 0, -17384, 0, 169776, 0, 42328, 0, -96176, 0, -41244, 0, 7488, 0, -267576, 0, -52128, 0, -58312, 0, -31080, 0, -21576, 0, -38976, 0, -287464, 0, 72288, 0, 220024, 0, -147664, 0, 21760, 0, -26880, 0, 24570, 0, 7720, 0, 141192, 0, 183504, 0, 98688, 0, -60848, 0, 256984, 0, 7448, 0, -60692, 0, -112256, 0, -96544, 0, 36588, 0, 152456, 0, 0, 0, 27146, 0, 47928, 0, -34488, 0, 55168, 0, 221108, 0, -82328, 0, 155064, 0, 0, 0, -110928, 0, -145776, 0, -120200, 0, -10864, 0, 0, 0, 50440, 0, -27132, 0, -21304, 0, -295320, 0, -14392, 0, -316784, 0, -39344, 0, 155072, 0, -50176, 0, 147056, 0, -97392, 0, 51856, 0, -5304, 0, -376064, 0, -109440, 0, 68992, 0, -147344, 0, -46844, 0, -229728, 0, -130492, 0, 42240, 0, 352992, 0, -67760, 0, 39176, 0, 58288, 0, 42744, 0, 57704, 0, 285696, 0, 69096, 0, -2352, 0, -33952, 0, 260192, 0, 90280, 0, 14320, 0, -8480, 0, -244640, 0, 0, 0, -94672, 0, 0, 0, 177984, 0, -111024, 0, 89320, 0, 323472, 0, 60956, 0, 256956, 0, 125056, 0, 232656, 0, -321464, 0, -24016, 0, 181040, 0, 0, 0, -39000, 0, -115480, 0, -184632, 0, 28632, 0, -9320, 0, 38880, 0, -129136, 0, 164352, 0, 24328, 0, -74592, 0, 302312, 0, -74864, 0, -292944, 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: 34319248
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599694480816, 'source_is_minimal': False, 'source_label': '1456.4.a.b.1.1', 'source_level': 1456, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599694480816, 'target_is_minimal': False, 'target_label': '1456.4.a.b.1.1', 'target_level': 1456, 'twist_class_label': '182.4.a.a.1.1', 'twist_class_level': 182, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 34319249
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599694480816, 'source_is_minimal': False, 'source_label': '1456.4.a.b.1.1', 'source_level': 1456, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67109046, 'target_is_minimal': True, 'target_label': '182.4.a.a.1.1', 'target_level': 182, 'twist_class_label': '182.4.a.a.1.1', 'twist_class_level': 182, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 34319250
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599694480816, 'source_is_minimal': False, 'source_label': '1456.4.a.b.1.1', 'source_level': 1456, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532396713444966, 'target_is_minimal': False, 'target_label': '1638.4.a.j.1.1', 'target_level': 1638, 'twist_class_label': '182.4.a.a.1.1', 'twist_class_level': 182, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 34319251
    {'conductor': 28, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599694480816, 'source_is_minimal': False, 'source_label': '1456.4.a.b.1.1', 'source_level': 1456, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67110138, 'target_is_minimal': False, 'target_label': '1274.4.a.a.1.1', 'target_level': 1274, 'twist_class_label': '182.4.a.a.1.1', 'twist_class_level': 182, 'twisting_char_label': '28.27', 'twisting_conrey_index': 27, 'weight': 4}
  • id: 34319252
    {'conductor': 52, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599694480816, 'source_is_minimal': False, 'source_label': '1456.4.a.b.1.1', 'source_level': 1456, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021597831334206, 'target_is_minimal': False, 'target_label': '2366.4.a.g.1.1', 'target_level': 2366, 'twist_class_label': '182.4.a.a.1.1', 'twist_class_level': 182, 'twisting_char_label': '52.51', 'twisting_conrey_index': 51, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1965925
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503599694480816, 'p': 2}
  • id: 1965926
    {'charpoly_factorization': [[[7, 1], 1]], 'hecke_orbit_code': 4503599694480816, 'p': 3}
  • id: 1965927
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503599694480816, 'p': 5}
  • id: 1965928
    {'charpoly_factorization': [[[7, 1], 1]], 'hecke_orbit_code': 4503599694480816, 'p': 7}
  • id: 1965929
    {'charpoly_factorization': [[[39, 1], 1]], 'hecke_orbit_code': 4503599694480816, 'p': 11}
  • id: 1965930
    {'charpoly_factorization': [[[-13, 1], 1]], 'hecke_orbit_code': 4503599694480816, 'p': 13}
  • id: 1965931
    {'charpoly_factorization': [[[-24, 1], 1]], 'hecke_orbit_code': 4503599694480816, 'p': 17}
  • id: 1965932
    {'charpoly_factorization': [[[38, 1], 1]], 'hecke_orbit_code': 4503599694480816, 'p': 19}
  • id: 1965933
    {'charpoly_factorization': [[[39, 1], 1]], 'hecke_orbit_code': 4503599694480816, 'p': 23}
  • id: 1965934
    {'charpoly_factorization': [[[96, 1], 1]], 'hecke_orbit_code': 4503599694480816, 'p': 29}
  • id: 1965935
    {'charpoly_factorization': [[[227, 1], 1]], 'hecke_orbit_code': 4503599694480816, 'p': 31}
  • id: 1965936
    {'charpoly_factorization': [[[-425, 1], 1]], 'hecke_orbit_code': 4503599694480816, 'p': 37}
  • id: 1965937
    {'charpoly_factorization': [[[105, 1], 1]], 'hecke_orbit_code': 4503599694480816, 'p': 41}
  • id: 1965938
    {'charpoly_factorization': [[[344, 1], 1]], 'hecke_orbit_code': 4503599694480816, 'p': 43}
  • id: 1965939
    {'charpoly_factorization': [[[99, 1], 1]], 'hecke_orbit_code': 4503599694480816, 'p': 47}
  • id: 1965940
    {'charpoly_factorization': [[[540, 1], 1]], 'hecke_orbit_code': 4503599694480816, 'p': 53}
  • id: 1965941
    {'charpoly_factorization': [[[114, 1], 1]], 'hecke_orbit_code': 4503599694480816, 'p': 59}
  • id: 1965942
    {'charpoly_factorization': [[[565, 1], 1]], 'hecke_orbit_code': 4503599694480816, 'p': 61}
  • id: 1965943
    {'charpoly_factorization': [[[-385, 1], 1]], 'hecke_orbit_code': 4503599694480816, 'p': 67}
  • id: 1965944
    {'charpoly_factorization': [[[-156, 1], 1]], 'hecke_orbit_code': 4503599694480816, 'p': 71}
  • id: 1965945
    {'charpoly_factorization': [[[673, 1], 1]], 'hecke_orbit_code': 4503599694480816, 'p': 73}
  • id: 1965946
    {'charpoly_factorization': [[[749, 1], 1]], 'hecke_orbit_code': 4503599694480816, 'p': 79}
  • id: 1965947
    {'charpoly_factorization': [[[-1044, 1], 1]], 'hecke_orbit_code': 4503599694480816, 'p': 83}
  • id: 1965948
    {'charpoly_factorization': [[[690, 1], 1]], 'hecke_orbit_code': 4503599694480816, 'p': 89}
  • id: 1965949
    {'charpoly_factorization': [[[-317, 1], 1]], 'hecke_orbit_code': 4503599694480816, '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': 2, 'label': '1456.4.a.b', 'level': 1456, '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: 18969516
    {'hecke_orbit_code': 4503599694480816, 'n': 1, 'trace_an': 1}
  • id: 18969517
    {'hecke_orbit_code': 4503599694480816, 'n': 2, 'trace_an': 0}
  • id: 18969518
    {'hecke_orbit_code': 4503599694480816, 'n': 3, 'trace_an': -7}
  • id: 18969519
    {'hecke_orbit_code': 4503599694480816, 'n': 4, 'trace_an': 0}
  • id: 18969520
    {'hecke_orbit_code': 4503599694480816, 'n': 5, 'trace_an': 0}
  • id: 18969521
    {'hecke_orbit_code': 4503599694480816, 'n': 6, 'trace_an': 0}
  • id: 18969522
    {'hecke_orbit_code': 4503599694480816, 'n': 7, 'trace_an': -7}
  • id: 18969523
    {'hecke_orbit_code': 4503599694480816, 'n': 8, 'trace_an': 0}
  • id: 18969524
    {'hecke_orbit_code': 4503599694480816, 'n': 9, 'trace_an': 22}
  • id: 18969525
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  • id: 18969526
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  • id: 18969532
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  • id: 18969533
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  • id: 18969536
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  • id: 18969538
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  • id: 18969539
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  • id: 18969540
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  • id: 18969542
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  • id: 18969544
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  • id: 18969545
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  • id: 18969546
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  • id: 18969548
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  • id: 18969549
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  • id: 18969608
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  • id: 18969614
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  • id: 18969616
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  • id: 18969617
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  • id: 18969618
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  • id: 18969619
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  • id: 18969620
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  • id: 18969621
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  • id: 18969622
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  • id: 18969623
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  • id: 18969625
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  • id: 18969626
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  • id: 18969627
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  • id: 18969628
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  • id: 18969629
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  • id: 18969630
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  • id: 18969631
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  • id: 18969632
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  • id: 18969633
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  • id: 18969634
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  • id: 18969635
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  • id: 18969636
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  • id: 18969637
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  • id: 18969638
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  • id: 18969639
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  • id: 18969640
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  • id: 18969641
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  • id: 18969642
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  • id: 18969646
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  • id: 18969669
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  • id: 18969724
    {'hecke_orbit_code': 4503599694480816, 'n': 673, 'trace_an': -32929}
  • id: 18969725
    {'hecke_orbit_code': 4503599694480816, 'n': 677, 'trace_an': 33021}
  • id: 18969726
    {'hecke_orbit_code': 4503599694480816, 'n': 683, 'trace_an': -18519}
  • id: 18969727
    {'hecke_orbit_code': 4503599694480816, 'n': 691, 'trace_an': -15248}
  • id: 18969728
    {'hecke_orbit_code': 4503599694480816, 'n': 701, 'trace_an': -7740}
  • id: 18969729
    {'hecke_orbit_code': 4503599694480816, 'n': 709, 'trace_an': 29747}
  • id: 18969730
    {'hecke_orbit_code': 4503599694480816, 'n': 719, 'trace_an': -10266}
  • id: 18969731
    {'hecke_orbit_code': 4503599694480816, 'n': 727, 'trace_an': 8026}
  • id: 18969732
    {'hecke_orbit_code': 4503599694480816, 'n': 729, 'trace_an': -11843}
  • id: 18969733
    {'hecke_orbit_code': 4503599694480816, 'n': 733, 'trace_an': 13268}
  • id: 18969734
    {'hecke_orbit_code': 4503599694480816, 'n': 739, 'trace_an': 8080}
  • id: 18969735
    {'hecke_orbit_code': 4503599694480816, 'n': 743, 'trace_an': 27096}
  • id: 18969736
    {'hecke_orbit_code': 4503599694480816, 'n': 751, 'trace_an': -25067}
  • id: 18969737
    {'hecke_orbit_code': 4503599694480816, 'n': 757, 'trace_an': -6442}
  • id: 18969738
    {'hecke_orbit_code': 4503599694480816, 'n': 761, 'trace_an': 26511}
  • id: 18969739
    {'hecke_orbit_code': 4503599694480816, 'n': 769, 'trace_an': -17665}
  • id: 18969740
    {'hecke_orbit_code': 4503599694480816, 'n': 773, 'trace_an': 36258}
  • id: 18969741
    {'hecke_orbit_code': 4503599694480816, 'n': 787, 'trace_an': -21296}
  • id: 18969742
    {'hecke_orbit_code': 4503599694480816, 'n': 797, 'trace_an': -28947}
  • id: 18969743
    {'hecke_orbit_code': 4503599694480816, 'n': 809, 'trace_an': -20418}
  • id: 18969744
    {'hecke_orbit_code': 4503599694480816, 'n': 811, 'trace_an': 14524}
  • id: 18969745
    {'hecke_orbit_code': 4503599694480816, 'n': 821, 'trace_an': -7710}
  • id: 18969746
    {'hecke_orbit_code': 4503599694480816, 'n': 823, 'trace_an': -2531}
  • id: 18969747
    {'hecke_orbit_code': 4503599694480816, 'n': 827, 'trace_an': -24516}
  • id: 18969748
    {'hecke_orbit_code': 4503599694480816, 'n': 829, 'trace_an': -15586}
  • id: 18969749
    {'hecke_orbit_code': 4503599694480816, 'n': 839, 'trace_an': 24915}
  • id: 18969750
    {'hecke_orbit_code': 4503599694480816, 'n': 841, 'trace_an': -15173}
  • id: 18969751
    {'hecke_orbit_code': 4503599694480816, 'n': 853, 'trace_an': -20500}
  • id: 18969752
    {'hecke_orbit_code': 4503599694480816, 'n': 857, 'trace_an': 26694}
  • id: 18969753
    {'hecke_orbit_code': 4503599694480816, 'n': 859, 'trace_an': -20801}
  • id: 18969754
    {'hecke_orbit_code': 4503599694480816, 'n': 863, 'trace_an': 37404}
  • id: 18969755
    {'hecke_orbit_code': 4503599694480816, 'n': 877, 'trace_an': -20581}
  • id: 18969756
    {'hecke_orbit_code': 4503599694480816, 'n': 881, 'trace_an': -34314}
  • id: 18969757
    {'hecke_orbit_code': 4503599694480816, 'n': 883, 'trace_an': 12058}
  • id: 18969758
    {'hecke_orbit_code': 4503599694480816, 'n': 887, 'trace_an': -20406}
  • id: 18969759
    {'hecke_orbit_code': 4503599694480816, 'n': 907, 'trace_an': 2914}
  • id: 18969760
    {'hecke_orbit_code': 4503599694480816, 'n': 911, 'trace_an': 1044}
  • id: 18969761
    {'hecke_orbit_code': 4503599694480816, 'n': 919, 'trace_an': -20693}
  • id: 18969762
    {'hecke_orbit_code': 4503599694480816, 'n': 929, 'trace_an': -52653}
  • id: 18969763
    {'hecke_orbit_code': 4503599694480816, 'n': 937, 'trace_an': 34868}
  • id: 18969764
    {'hecke_orbit_code': 4503599694480816, 'n': 941, 'trace_an': 25542}
  • id: 18969765
    {'hecke_orbit_code': 4503599694480816, 'n': 947, 'trace_an': 672}
  • id: 18969766
    {'hecke_orbit_code': 4503599694480816, 'n': 953, 'trace_an': 52278}
  • id: 18969767
    {'hecke_orbit_code': 4503599694480816, 'n': 961, 'trace_an': 21738}
  • id: 18969768
    {'hecke_orbit_code': 4503599694480816, 'n': 967, 'trace_an': -758}
  • id: 18969769
    {'hecke_orbit_code': 4503599694480816, 'n': 971, 'trace_an': -27285}
  • id: 18969770
    {'hecke_orbit_code': 4503599694480816, 'n': 977, 'trace_an': 18786}
  • id: 18969771
    {'hecke_orbit_code': 4503599694480816, 'n': 983, 'trace_an': -37152}
  • id: 18969772
    {'hecke_orbit_code': 4503599694480816, 'n': 991, 'trace_an': 17143}
  • id: 18969773
    {'hecke_orbit_code': 4503599694480816, 'n': 997, 'trace_an': -14137}