Embedded newform data - 7935.2.a.ba.1.2

Formats: - HTML - YAML - JSON - 2026-09-21T13:42:51.853239

• 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': 31740, 'analytic_conductor': 63.36129400388599, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, -1], [5, -1], [23, -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': [7935, 1, [5291, 4762, 7411], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 4, 'field_disc': 25492, 'field_disc_factorization': [[2, 2], [6373, 1]], 'field_poly': [8, -2, -8, 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': [[2, [8, 2, -8, 0, 1]], [7, [16, 24, -16, -1, 1]], [11, [-46, 49, -5, -5, 1]]], 'hecke_orbit': 27, 'hecke_orbit_code': 117093590345195263, 'hecke_ring_generator_nbound': 7, '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': True, 'label': '7935.2.a.ba', 'level': 7935, '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': [3, 5, 23], 'level_radical': 345, 'minimal_twist': '7935.2.a.z', 'nf_label': '4.4.25492.1', 'prim_orbit_index': 1, 'qexp_display': 'q-\\beta _{1}q^{2}+q^{3}+(2+\\beta _{2}+\\beta _{3})q^{4}+q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '7935.2.a', 'trace_display': [0, 4, 4, 1], 'trace_hash': 805757912334815795, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '3.840', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '41.656', 'prec': 17}, 0, {'__RealLiteral__': 0, 'data': '690.350', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.007', 'prec': 4}, 'traces': [4, 0, 4, 8, 4, 0, 1, -6, 4, 0, 5, 8, 1, 16, 4, 16, 8, 0, 13, 8, 1, -6, 0, -6, 4, -6, 4, -14, 8, 0, -3, -32, 5, -16, 1, 8, 5, -22, 1, -6, 9, 16, -3, 32, 4, 0, 6, 16, 5, 0, 8, 24, 24, 0, 5, 64, 13, 0, -6, 8, 2, -4, 1, 44, 1, -6, -7, 22, 0, 16, -3, -6, 14, 6, 4, 54, 2, -6, 3, 16, 4, -52, 8, -14, 8, -14, 8, -6, -16, 0, 1, 0, -3, -20, 13, -32, 46, -28, 5, 8, 7, -16, -17, 0, 1, 48, -8, 8, -1, -6, 5, -60, 10, -22, 0, 16, 1, -58, -14, -6, -9, 26, 9, -74, 4, 16, -21, -64, -3, -6, -13, 32, -12, 16, 4, -44, 28, 0, 0, -14, 6, -6, 30, 16, 8, 0, 5, 8, 5, 0, -14, -50, 8, 64, -3, 24, 14, -24, 24, -32, 0, 0, -51, 8, 5, 4, -2, 64, -23, -16, 13, -60, 14, 0, 1, 76, -6, -6, 13, 8, -1, 48, 2, 0, 5, -4, 16, -20, 1, -22, 34, 44, -3, -10, 1, 70, -16, -6, 6, -6, -7, 26, 2, 22, 9, -26, 0, 60, 51, 16, 22, 30, -3, -40, -3, -6, 32, 54, 14, 32, 8, 6, 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32, 176, 38, 38, 8, -49, 38, -46, -180, -2, 232, 0, 188, 7, 128, -3, 40, -112, 100, 40, 80, -85, 50, 65, 64, -38, -142, -100, -4, 7, 104, -219, 80, 11, 0, 127, 52, 74, 12, -23, 112, 74, -20, -176, -62, -19, 372, 4, -36, 44, 152, 13, 150, -45, -16, -4, -12, 0, 164, -30, 16, -6, -190, -9, -152, 114, 88, -54, 80, 13, -84, 36, 12, 32, 4, -40, -134, -146, 16, -17, 0, -155, -116, 106, -60, -32, -352, -80, -360, -38, -108, -53, -78, -140, 16, 157, -32, -47, 94, 14, -132, -54, -20, 0, 0, -36, -120, 54, 60, 9, 90, -73, -292, 146, 0, 15, -4, -1, 224, 4, 230, -8, 164, 46, -56, 190, 0, -43, 636, 1, -76, -46, 48, -21, -68, 18, 48, -24, -130, -2, 28, 64, -148, 2, 76, -45, 254, 58, -170, 0, -28, -61, -162, 20, 48, 159, 60, 37, -116, -6, -164, 22, -88, -111, -164, 32, 92, 114, -76, -38, 154, -41, 0, -14, -6, 10, 116, 5, 176, -8, -92, 53, -50, -6, 76, -60, -64, -25, 136, 13, 40, -76, 176, -37, 114, 0, 150, -30, 4, 63, -64, -6, 0, -67, 8, 98, -144, 0, -152, 39, -240, 25, -144, -35, 40, 77, -152, 37, 0, -1, -268, 62, -64, -31, -140, 1, 104, 284, 126, -1, -40, 7, 182, -143, 48, 52, -130, -3, 80, 144, 152, 0, 94, 48, 142, -25, -88, 27, -16, 2, 36, -98, 84, -111, -6, -52, 160, -68, -16, 26, 108, -60, 252, -56, 0, -35, 66, 1, 124, 0, 52, 162, -196, 28, 122, -76, -40, 76, -144, 5, 188, -12, -80, 11, -84, -17, -92, 0, -64, 104, 136, 97, 298, 8, -4, 5, -260, 101, -32, -75, -128, 22, -114, -28, -60, 66, 108, -91, -148, 16, 0, -12, 0, 76, -2, 9, 114, 92, -60, 8, 160, -11, 114, 31, -20, 24, -82, -27, -368, 10, 42, 66, -56, 0, -64, 111, 36, -185, 150, 1, -106, -74, -132, -60, 6, 80, -56, -70, -94, 89, 134, -10, 40, -54, -22, -25, 0, -38, 52, -56, 216, 126, 0, 26, 74, -43, 48, 1, 240, 34, 176, -42, 44, 29, 16, 10, -212, -68, -148, 0, -436, -44, -232, 29, 44, -29, -160, 55, -110, 36, -78, -91, -484, -8, -70, 38, 232, -50, -34, -3, 56, 66, 0, 63, 16, -81, -160, -62, -20, -14, -210, 48, 132, 65, -10, -47, 240, -58, 148, 12, 8, 114, -254, 115, -88, 0, -38, 34, -28, 1, 376, -76, 36, 14, -24, 18, 126, 252, -26, -68, 52, 2, -156, 21, 70, -20, 146, -1, 0, -37, 8, 197, -104, 42, -58, 162, -178, -15, 104, -16, 224, -82, -32, -135, 4, -32, -114, 270, 134, -20, 6, 0, 120, 97, -6, 164, -136, 72, 56, -14, 144, 93, -58, -22, 24, -26, 32, -6, -48, 6, 84, -34, 74, 13, 0, -9, 272, 92, -60, -35, -132, 5, -104, -17, -6], 'weight': 2, '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

  
  {'an_normalized': [[1.0, 0.0], [-0.6559964824049564, 0.0], [0.5773502691896257, 0.0], [-0.5696686150723236, 0.0], [0.4472135954999579, 0.0], [-0.37873974570394925, 0.0], [0.9283607191586959, 0.0], [1.029697090028904, 0.0], [0.3333333333333333, 0.0], [-0.2933705455316455, 0.0], [0.37525905420947675, 0.0], [-0.32889832826088733, 0.0], [0.06783802622942739, 0.0], [-0.6090013661710402, 0.0], [0.25819888974716115, 0.0], [-0.10580905392925717, 0.0], [0.7100761872544914, 0.0], [-0.21866549413498548, 0.0], [0.9571941580488884, 0.0], [-0.2547635495899754, 0.0], [0.5359893111113476, 0.0], [-0.24616861955202762, 0.0], [0.0, 0.0], [0.594495892111962, 0.0], [0.2, 0.0], [-0.04450150657979954, 0.0], [0.19245008972987526, 0.0], [-0.5288579651706806, 0.0], [0.3713906763541037, 0.0], [-0.16937756343500288, 0.0], [1.7224730914872823, 0.0], [-0.960286722844715, 0.0], [0.21665591596368577, 0.0], [-0.4658074810784696, 0.0], [0.41517553513588706, 0.0], [-0.1898895383574412, 0.0], [-0.8240425105059893, 0.0], [-0.6279160006586448, 0.0], [0.039166302704852794, 0.0], [0.46049453790767003, 0.0], [0.4431834691603905, 0.0], [-0.3516071026956999, 0.0], [0.17105121068630147, 0.0], [-0.21377330570486264, 0.0], [0.14907119849998599, 0.0], [0.0, 0.0], [0.4910182144214796, 0.0], [-0.06108888576875626, 0.0], [-0.13814637512314898, 0.0], [-0.1311992964809913, 0.0], [0.40996267785652374, 0.0], [-0.03864519445135786, 0.0], [0.4418673182225161, 0.0], [-0.1262465819013164, 0.0], [0.16782095087693372, 0.0], [0.9559303310148497, 0.0], [0.5526363048162629, 0.0], [-0.24363097728628968, 0.0], [1.5125445506349415, 0.0], [-0.14708780393547685, 0.0], [-1.3780144483985102, 0.0], [-1.129936289052848, 0.0], [0.3094535730528986, 0.0], [0.7357537662155735, 0.0], [0.030338087621682677, 0.0], [-0.14212551876440171, 0.0], [0.055735116441490234, 0.0], [-0.40450811818910204, 0.0], [0.0, 0.0], [-0.27235369062973735, 0.0], [-0.08965026000466725, 0.0], [0.34323236334296797, 0.0], [-0.32395367637790895, 0.0], [0.5405689882440784, 0.0], [0.11547005383792515, 0.0], [-0.5452834703710291, 0.0], [0.3483757654367219, 0.0], [-0.025692956803191166, 0.0], [1.457728641719902, 0.0], [-0.04731924744415205, 0.0], [0.1111111111111111, 0.0], [-0.2907267968292417, 0.0], [-0.5714759388064645, 0.0], [-0.3053362885543702, 0.0], [0.3175557247809825, 0.0], [-0.11220899252132287, 0.0], [0.21442250696755896, 0.0], [0.38640315612649695, 0.0], [-0.7567682328603804, 0.0], [-0.09779018184388183, 0.0], [0.06297815881665769, 0.0], [0.0, 0.0], [0.9944703030420693, 0.0], [-0.32210622145725326, 0.0], [0.4280702410125984, 0.0], [-0.5544217979336197, 0.0], [0.9441901909125623, 0.0], [0.09062353613778132, 0.0], [0.1250863514031589, 0.0], [-0.11393372301446472, 0.0]], 'angles': [-0.30318700509448376, None, None, -0.17317447439096892, -0.2199597824344309, -0.24460058572310764, -0.1922339470323416, -0.1705727359446669, None, -0.2202731255008241, -0.08484525843791027, -0.3175885285861198, -0.2144373876683145, -0.23637152804897138, -0.21052243786348432, -0.21454478557282303, -0.1135092697404776, -0.370976592643323, -0.24556416608552162, -0.25713653227311545, -0.27589349344683367, -0.12002424896424761, -0.2961193489052846, -0.31176007492123714, -0.17174894478834565, -0.44506922542203353, -0.26877689813544303, -0.12887544621312214, -0.1747571959755077, -0.32814942794310986, -0.37135958503784305, -0.22482631172148032, -0.3571605334687847, -0.15033471825140876, -0.19620979519657114, -0.28963291424437937, -0.3063629783690094, -0.19984334497363412, -0.4388904332181605, -0.11692558307138984, -0.18411128433662122, -0.20847987901030113, -0.2223474568797767, -0.22493011769375001, -0.31979052319408546, -0.4366706854020992, -0.2504225325704725, -0.048013471275130344, -0.1707937379354064, -0.3494306924811739, -0.28806512729723804, -0.3834818871464903, -0.36805138261329695, -0.26528210572712285, -0.2042134345498223, -0.24926685558273315, -0.2720606280847125, -0.09685355815059184, -0.3568923097067664, -0.2878747441317335, -0.11342246736582053, -0.09333781419221505, -0.3471720296152916, -0.4671125232497711, -0.3119889868509868, -0.3015024947741249, -0.28553555827074445, -0.18168680590118225, -0.2915074343140323, -0.31388848548622517, -0.2130146119344361, -0.2116184460279173, -0.3030933969398671, -0.1919457657503999, -0.27629847449732625, -0.16995171608496557, -0.12697470790177554, -0.3842594003152483, -0.16168785378088804, -0.2669780099017896, -0.04860332441421707, -0.2341019566145785, -0.17345985474576428, -0.1527335585889512, -0.17413134548185302, -0.35218741797719433, -0.14885577186490012, -0.2580881617194894, -0.13580974003736992, -0.2990304107711858, -0.29028480609177637, -0.16448311873961163, -0.16005798642377897, -0.2731112582630927, -0.30818845146747853, -0.200721126958348, -0.18955125189147626, -0.16860245397564955, -0.41914472901662336, -0.32281389614109945], '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': 0.9277191222861328, 'hecke_orbit': 27, 'hecke_orbit_code': 117093590345195263, 'label': '7935.2.a.ba.1.2', 'level': 7935, 'weight': 2}
• 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': [41, 44, 51, 33, 43, 40, 33, 51], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [11, 12, 12, 12, 12, 12, 12, 12], 'ALdims_old': [80, 98, 93, 89, 89, 92, 99, 81], 'Nk2': 31740, 'analytic_conductor': 63.36129400388599, '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': [7935, 1, [5291, 4762, 7411], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1057, 'dim': 336, 'eis_dim': 95, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 7, 11], 'hecke_orbit_code': 33562367, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 4, 4, 5, 5, 6, 6, 6, 6, 8, 8, 10, 10, 12, 12, 15, 15, 15, 15, 16, 16, 25, 25, 25, 25], 'label': '7935.2.a', 'level': 7935, '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': [3, 5, 23], 'level_radical': 345, 'mf_dim': 1152, 'mf_new_dim': 336, 'num_forms': 49, 'plus_dim': 147, 'prim_orbit_index': 1, 'relative_dim': 336, 'sturm_bound': 2208, 'trace_bound': 7, 'trace_display': [4, -2, 0, 0], 'traces': [336, 4, -2, 340, 0, 2, 0, 12, 336, 4, 16, -6, -8, -8, 2, 340, 0, 4, 8, -8, -8, -8, 0, -6, 336, 24, -2, 8, 16, 2, 16, 28, 0, -24, 8, 340, 16, 8, -4, 12, 24, 0, 8, 24, 0, 0, 16, 2, 328, 4, 12, -32, -8, 2, 0, -32, -16, 24, 0, 6, -16, -32, 0, 348, 16, 16, 8, 24, 0, -24, 24, 12, 8, 0, -2, 0, -40, -28, 8, 0, 336, 32, -8, -8, 8, 0, -20, 16, 8, 4, -32, 0, -16, 24, 0, -30, 0, 44, 16, 340, 16, 36, -8, 88, 0, 16, 16, -6, -8, -24, 4, 64, 56, 24, 0, 64, -8, -8, -8, -6, 376, -64, -12, 40, 0, -8, -48, 4, -16, 8, 8, -8, -8, -64, 2, -48, 24, 0, 40, 0, 24, 16, -40, 340, 24, -120, -18, 48, 16, 2, 8, -64, 0, -32, 0, 44, 8, -64, -28, 28, 0, 4, -56, 16, 0, 40, 8, 72, 384, 24, 8, 32, 88, 36, 0, -16, 32, 8, 40, -8, 88, -8, 4, 0, 16, 24, 64, -80, -8, -16, -96, 74, 16, 16, 4, 316, 72, -8, 0, 12, -24, 80, 48, 12, 8, -112, 0, -136, 32, 16, 24, -24, 8, 32, 24, -6, -88, -32, 20, 24, 72, 20, -48, 8, 336, 32, -88, -32, -40, 0, 32, -32, -48, 24, -8, 64, 8, 144, -32, 30, 56, 12, -2, 16, -16, -4, 40, -136, 24, 4, 0, 8, 0, 8, -12, 436, 16, 16, 16, -8, 16, -88, 0, 56, 32, 48, 36, 168, 56, 2, -8, 80, -48, -48, 16, 0, 40, 24, 16, 0, 40, -8, 80, -48, -8, -8, -40, 28, 360, -88, -60, 144, 64, 90, 24, 64, 0, 96, 0, -6, -8, 104, 44, 72, 16, -24, 0, 40, 8, -32, 8, -4, -64, 40, 8, -8, 104, 60, 0, -8, -8, 0, -96, 340, -8, 120, 52, 48, -72, 16, 72, -48, 16, -104, 16, -32, 8, 180, -36, -24, -72, 8, 0, -104, 0, 216, 184, -28, 0, -8, -4, -96, 72, 16, 8, 48, -24, -16, 120, 12, 352, -104, 38, 88, -32, -20, -72, 0, 24, -48, 104, -96, -64, 56, 2, 96, 80, 0, 56, 96, 24, 72, 24, -86, 24, 32, 8, -152, 64, -28, 0, 196, -8, -80, 16, 24, -336, 0, -344, 340, 88, -40, -184, 136, 0, -48, -48, -44, -296, 32, 20, -64, 160, 0, -16, 192, -328, 152, -96, -24, 0, 24, 16, -96, 0, -8, -216, -48, -96, 40, -24, 2, 56, 184, 12, -128, 0, -20, -240, -64, 328, -152, 112, 4, -40, 160, 4, 64, 80, 4, -24, 24, -384, 72, 0, 8, 64, -8, 12, 0, 88, 16, -48, 24, 16, 8, 32, -32, -256, 8, 44, 160, 88, -48, 8, 96, -8, -128, -184, -30, -56, -112, 0, 556, 16, 2, -304, -120, 24, 76, -24, -84, 72, -88, 0, 56, -88, 96, -24, -8, -24, -192, 8, -32, -8, 0, -350, -48, 72, 4, 48, 84, -16, 0, 24, -104, -168, 248, 28, 8, 48, 24, 48, -24, -8, 144, -56, -8, 0, 40, 0, 240, 8, -60, -8, -64, 24, 72, 96, 6, -120, 96, 4, 40, 0, 64, 64, 160, -16, -8, -120, 0, -368, 96, -4, 16, 24, -32, -40, 72, 72, -16, -96, 56, -16, 120, 0, -8, 8, -40, -72, 80, -40, 184, 0, 348, 176, 28, -276, 48, 8, -28, 128, -40, 16, 72, 8, 58, -120, -16, 76, 40, -64, 16, -40, -8, -72, 0, -72, -6, 128, 464, 8, -32, 64, 28, -336, 64, 88, 72, -96, 24, -72, 224, 28, 344, 128, -168, -16, 112, 0, 0, -40, 68, 336, 144, 32, 64, 168, -24, -168, 208, 40, 160, -96, -28, -200, 120, 24, 4, 80, 64, 24, 0, -48, 144, -64, 12, -48, 24, 32, 40, -80, -84, -32, -32, 8, -88, 8, 64, -48, 192, 32, -80, 16, 0, 0, 136, -368, -16, -16, 56, 96, 72, -2, 340, -72, -12, 176, 8, 16, 56, 128, 0, -16, 32, 68, 112, 80, 0, 192, 48, -40, -8, 0, 92, 80, 160, 100, 8, 40, -28, -296, 160, 48, 72, -312, 72, -8, 8, 8, -72, 0, 112, 40, 312, -88, 8, 0, 0, 160, 212, 28, 24, 16, -6, 192, -80, 336, 8, 120, -212, -208, -64, -14, 0, 208, 32, -272, 88, 8, 240, 104, 88, -8, 64, -8, 208, 88, 2, -88, -240, 56, 208, 96, -8, 56, 240, 0, -48, 104, 120, 144, 56, 8, -232, 32, 114, 56, 112, 84, 112, 16, 0, 16, -24, -432, 72, 64, 68, -88, 0, -20, 684, 0, -48, 152, 320, -32, 56, 72, 16, 104, 0, -4, 152, 8, 32, -8, 28, 8, -72, -104, 64, 0, 16, 76, 64, 64, 4, 96, 40, -32, 256, -104, -20, -296, -56, -32, 16, -8, 164, 88, -72, 0, -256, 48, 0, 24, -88, 20, -144, -144, -32, 48, 88, -16, 40, -80, 40, 360, -208, 60, 144, -48, 24, 24, 48, -32, -24, 0, -24, 88, 120, 0, -16, -96, 64, -248, 136, -56, -32, 8, -30, 56, 24, 170, -200, 24, -76, 120, -104, 0, 0, 8, 124, -80, -184, -44, 88, -16, 44, 160, 200, -8, 72, 80, -20, -8, -56, 16, 16, -24, -60, 16, -184, 0, 0, -72, 340, 112, 40, -336, 16, -16, 80, -56, -296, 16, 96, 112, 0, 104, 112, -20, -168, -48, 36, 80, 0, 96, 8, 200, 200, 16, -2008, -8, -2016, -136, 56, 56, -2064, -32, -224, -48, 88, 144, -2008, 28, 16, 16, -12, 0, 64, 0, -1696, 152, 56, -224, 8, -12, 256, -128, 16, 24, -1864, 144, 200, 112, 38, 376, 104, 16, 304, 48, 0, -48, -1932, 72, 64, -48, -6, -96, 72, -4, 152, 48, 64, 176, -168, -8, -1680, -24, 204, 0, 40, 56, 80, 0, -24, 232, 80, 88, 56, 64, -128, -240, -1880, 4, 12], 'weight': 2, '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: 48617196
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 117093590345195263, 'source_is_minimal': True, 'source_label': '7935.2.a.ba.1.2', 'source_level': 7935, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 117093590345195263, 'target_is_minimal': True, 'target_label': '7935.2.a.ba.1.2', 'target_level': 7935, 'twist_class_label': '7935.2.a.z.1.2', 'twist_class_level': 7935, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 48617197
    {'conductor': 23, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 117093590345195263, 'source_is_minimal': True, 'source_label': '7935.2.a.ba.1.2', 'source_level': 7935, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 112589990717824767, 'target_is_minimal': True, 'target_label': '7935.2.a.z.1.2', 'target_level': 7935, 'twist_class_label': '7935.2.a.z.1.2', 'twist_class_level': 7935, 'twisting_char_label': '23.22', 'twisting_conrey_index': 22, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 4612625
    {'charpoly_factorization': [[[8, 2, -8, 0, 1], 1]], 'hecke_orbit_code': 117093590345195263, 'p': 2}
  • id: 4612626
    {'charpoly_factorization': [[[-1, 1], 4]], 'hecke_orbit_code': 117093590345195263, 'p': 3}
  • id: 4612627
    {'charpoly_factorization': [[[-1, 1], 4]], 'hecke_orbit_code': 117093590345195263, 'p': 5}
  • id: 4612628
    {'charpoly_factorization': [[[16, 24, -16, -1, 1], 1]], 'hecke_orbit_code': 117093590345195263, 'p': 7}
  • id: 4612629
    {'charpoly_factorization': [[[-46, 49, -5, -5, 1], 1]], 'hecke_orbit_code': 117093590345195263, 'p': 11}
  • id: 4612630
    {'charpoly_factorization': [[[-6, 28, -14, -1, 1], 1]], 'hecke_orbit_code': 117093590345195263, 'p': 13}
  • id: 4612631
    {'charpoly_factorization': [[[-4, -2, 16, -8, 1], 1]], 'hecke_orbit_code': 117093590345195263, 'p': 17}
  • id: 4612632
    {'charpoly_factorization': [[[-256, 69, 35, -13, 1], 1]], 'hecke_orbit_code': 117093590345195263, 'p': 19}
  • id: 4612633
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 117093590345195263, 'p': 23}
  • id: 4612634
    {'charpoly_factorization': [[[-2, 1], 4]], 'hecke_orbit_code': 117093590345195263, 'p': 29}
  • id: 4612635
    {'charpoly_factorization': [[[232, -367, -85, 3, 1], 1]], 'hecke_orbit_code': 117093590345195263, 'p': 31}
  • id: 4612636
    {'charpoly_factorization': [[[226, 36, -52, -5, 1], 1]], 'hecke_orbit_code': 117093590345195263, 'p': 37}
  • id: 4612637
    {'charpoly_factorization': [[[-2972, 1463, -129, -9, 1], 1]], 'hecke_orbit_code': 117093590345195263, 'p': 41}
  • id: 4612638
    {'charpoly_factorization': [[[206, -52, -122, 3, 1], 1]], 'hecke_orbit_code': 117093590345195263, 'p': 43}
  • id: 4612639
    {'charpoly_factorization': [[[-576, 376, -52, -6, 1], 1]], 'hecke_orbit_code': 117093590345195263, 'p': 47}
  • id: 4612640
    {'charpoly_factorization': [[[-972, 54, 144, -24, 1], 1]], 'hecke_orbit_code': 117093590345195263, 'p': 53}
  • id: 4612641
    {'charpoly_factorization': [[[3216, -796, -160, 6, 1], 1]], 'hecke_orbit_code': 117093590345195263, 'p': 59}
  • id: 4612642
    {'charpoly_factorization': [[[-573, 478, -88, -2, 1], 1]], 'hecke_orbit_code': 117093590345195263, 'p': 61}
  • id: 4612643
    {'charpoly_factorization': [[[8, -20, 2, 7, 1], 1]], 'hecke_orbit_code': 117093590345195263, 'p': 67}
  • id: 4612644
    {'charpoly_factorization': [[[8, 1, -11, 3, 1], 1]], 'hecke_orbit_code': 117093590345195263, 'p': 71}
  • id: 4612645
    {'charpoly_factorization': [[[-352, 112, 40, -14, 1], 1]], 'hecke_orbit_code': 117093590345195263, 'p': 73}
  • id: 4612646
    {'charpoly_factorization': [[[6128, 719, -221, -3, 1], 1]], 'hecke_orbit_code': 117093590345195263, 'p': 79}
  • id: 4612647
    {'charpoly_factorization': [[[372, 242, -36, -8, 1], 1]], 'hecke_orbit_code': 117093590345195263, 'p': 83}
  • id: 4612648
    {'charpoly_factorization': [[[32, 124, 80, 16, 1], 1]], 'hecke_orbit_code': 117093590345195263, 'p': 89}
  • id: 4612649
    {'charpoly_factorization': [[[13444, -5358, 762, -46, 1], 1]], 'hecke_orbit_code': 117093590345195263, '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': 27, 'label': '7935.2.a.ba', 'level': 7935, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 67345201
    {'hecke_orbit_code': 117093590345195263, 'n': 1, 'trace_an': 4}
  • id: 67345202
    {'hecke_orbit_code': 117093590345195263, 'n': 2, 'trace_an': 0}
  • id: 67345203
    {'hecke_orbit_code': 117093590345195263, 'n': 3, 'trace_an': 4}
  • id: 67345204
    {'hecke_orbit_code': 117093590345195263, 'n': 4, 'trace_an': 8}
  • id: 67345205
    {'hecke_orbit_code': 117093590345195263, 'n': 5, 'trace_an': 4}
  • id: 67345206
    {'hecke_orbit_code': 117093590345195263, 'n': 6, 'trace_an': 0}
  • id: 67345207
    {'hecke_orbit_code': 117093590345195263, 'n': 7, 'trace_an': 1}
  • id: 67345208
    {'hecke_orbit_code': 117093590345195263, 'n': 8, 'trace_an': -6}
  • id: 67345209
    {'hecke_orbit_code': 117093590345195263, 'n': 9, 'trace_an': 4}
  • id: 67345210
    {'hecke_orbit_code': 117093590345195263, 'n': 10, 'trace_an': 0}
  • id: 67345211
    {'hecke_orbit_code': 117093590345195263, 'n': 11, 'trace_an': 5}
  • id: 67345212
    {'hecke_orbit_code': 117093590345195263, 'n': 12, 'trace_an': 8}
  • id: 67345213
    {'hecke_orbit_code': 117093590345195263, 'n': 13, 'trace_an': 1}
  • id: 67345214
    {'hecke_orbit_code': 117093590345195263, 'n': 14, 'trace_an': 16}
  • id: 67345215
    {'hecke_orbit_code': 117093590345195263, 'n': 15, 'trace_an': 4}
  • id: 67345216
    {'hecke_orbit_code': 117093590345195263, 'n': 16, 'trace_an': 16}
  • id: 67345217
    {'hecke_orbit_code': 117093590345195263, 'n': 17, 'trace_an': 8}
  • id: 67345218
    {'hecke_orbit_code': 117093590345195263, 'n': 18, 'trace_an': 0}
  • id: 67345219
    {'hecke_orbit_code': 117093590345195263, 'n': 19, 'trace_an': 13}
  • id: 67345220
    {'hecke_orbit_code': 117093590345195263, 'n': 20, 'trace_an': 8}
  • id: 67345221
    {'hecke_orbit_code': 117093590345195263, 'n': 21, 'trace_an': 1}
  • id: 67345222
    {'hecke_orbit_code': 117093590345195263, 'n': 22, 'trace_an': -6}
  • id: 67345223
    {'hecke_orbit_code': 117093590345195263, 'n': 23, 'trace_an': 0}
  • id: 67345224
    {'hecke_orbit_code': 117093590345195263, 'n': 24, 'trace_an': -6}
  • id: 67345225
    {'hecke_orbit_code': 117093590345195263, 'n': 25, 'trace_an': 4}
  • id: 67345226
    {'hecke_orbit_code': 117093590345195263, 'n': 26, 'trace_an': -6}
  • id: 67345227
    {'hecke_orbit_code': 117093590345195263, 'n': 27, 'trace_an': 4}
  • id: 67345228
    {'hecke_orbit_code': 117093590345195263, 'n': 28, 'trace_an': -14}
  • id: 67345229
    {'hecke_orbit_code': 117093590345195263, 'n': 29, 'trace_an': 8}
  • id: 67345230
    {'hecke_orbit_code': 117093590345195263, 'n': 30, 'trace_an': 0}
  • id: 67345231
    {'hecke_orbit_code': 117093590345195263, 'n': 31, 'trace_an': -3}
  • id: 67345232
    {'hecke_orbit_code': 117093590345195263, 'n': 32, 'trace_an': -32}
  • id: 67345233
    {'hecke_orbit_code': 117093590345195263, 'n': 33, 'trace_an': 5}
  • id: 67345234
    {'hecke_orbit_code': 117093590345195263, 'n': 34, 'trace_an': -16}
  • id: 67345235
    {'hecke_orbit_code': 117093590345195263, 'n': 35, 'trace_an': 1}
  • id: 67345236
    {'hecke_orbit_code': 117093590345195263, 'n': 36, 'trace_an': 8}
  • id: 67345237
    {'hecke_orbit_code': 117093590345195263, 'n': 37, 'trace_an': 5}
  • id: 67345238
    {'hecke_orbit_code': 117093590345195263, 'n': 38, 'trace_an': -22}
  • id: 67345239
    {'hecke_orbit_code': 117093590345195263, 'n': 39, 'trace_an': 1}
  • id: 67345240
    {'hecke_orbit_code': 117093590345195263, 'n': 40, 'trace_an': -6}
  • id: 67345241
    {'hecke_orbit_code': 117093590345195263, 'n': 41, 'trace_an': 9}
  • id: 67345242
    {'hecke_orbit_code': 117093590345195263, 'n': 42, 'trace_an': 16}
  • id: 67345243
    {'hecke_orbit_code': 117093590345195263, 'n': 43, 'trace_an': -3}
  • id: 67345244
    {'hecke_orbit_code': 117093590345195263, 'n': 44, 'trace_an': 32}
  • id: 67345245
    {'hecke_orbit_code': 117093590345195263, 'n': 45, 'trace_an': 4}
  • id: 67345246
    {'hecke_orbit_code': 117093590345195263, 'n': 46, 'trace_an': 0}
  • id: 67345247
    {'hecke_orbit_code': 117093590345195263, 'n': 47, 'trace_an': 6}
  • id: 67345248
    {'hecke_orbit_code': 117093590345195263, 'n': 48, 'trace_an': 16}
  • id: 67345249
    {'hecke_orbit_code': 117093590345195263, 'n': 49, 'trace_an': 5}
  • id: 67345250
    {'hecke_orbit_code': 117093590345195263, 'n': 50, 'trace_an': 0}
  • id: 67345251
    {'hecke_orbit_code': 117093590345195263, 'n': 51, 'trace_an': 8}
  • id: 67345252
    {'hecke_orbit_code': 117093590345195263, 'n': 52, 'trace_an': 24}
  • id: 67345253
    {'hecke_orbit_code': 117093590345195263, 'n': 53, 'trace_an': 24}
  • id: 67345254
    {'hecke_orbit_code': 117093590345195263, 'n': 54, 'trace_an': 0}
  • id: 67345255
    {'hecke_orbit_code': 117093590345195263, 'n': 55, 'trace_an': 5}
  • id: 67345256
    {'hecke_orbit_code': 117093590345195263, 'n': 56, 'trace_an': 64}
  • id: 67345257
    {'hecke_orbit_code': 117093590345195263, 'n': 57, 'trace_an': 13}
  • id: 67345258
    {'hecke_orbit_code': 117093590345195263, 'n': 58, 'trace_an': 0}
  • id: 67345259
    {'hecke_orbit_code': 117093590345195263, 'n': 59, 'trace_an': -6}
  • id: 67345260
    {'hecke_orbit_code': 117093590345195263, 'n': 60, 'trace_an': 8}
  • id: 67345261
    {'hecke_orbit_code': 117093590345195263, 'n': 61, 'trace_an': 2}
  • id: 67345262
    {'hecke_orbit_code': 117093590345195263, 'n': 62, 'trace_an': -4}
  • id: 67345263
    {'hecke_orbit_code': 117093590345195263, 'n': 63, 'trace_an': 1}
  • id: 67345264
    {'hecke_orbit_code': 117093590345195263, 'n': 64, 'trace_an': 44}
  • id: 67345265
    {'hecke_orbit_code': 117093590345195263, 'n': 65, 'trace_an': 1}
  • id: 67345266
    {'hecke_orbit_code': 117093590345195263, 'n': 66, 'trace_an': -6}
  • id: 67345267
    {'hecke_orbit_code': 117093590345195263, 'n': 67, 'trace_an': -7}
  • id: 67345268
    {'hecke_orbit_code': 117093590345195263, 'n': 68, 'trace_an': 22}
  • id: 67345269
    {'hecke_orbit_code': 117093590345195263, 'n': 69, 'trace_an': 0}
  • id: 67345270
    {'hecke_orbit_code': 117093590345195263, 'n': 70, 'trace_an': 16}
  • id: 67345271
    {'hecke_orbit_code': 117093590345195263, 'n': 71, 'trace_an': -3}
  • id: 67345272
    {'hecke_orbit_code': 117093590345195263, 'n': 72, 'trace_an': -6}
  • id: 67345273
    {'hecke_orbit_code': 117093590345195263, 'n': 73, 'trace_an': 14}
  • id: 67345274
    {'hecke_orbit_code': 117093590345195263, 'n': 74, 'trace_an': 6}
  • id: 67345275
    {'hecke_orbit_code': 117093590345195263, 'n': 75, 'trace_an': 4}
  • id: 67345276
    {'hecke_orbit_code': 117093590345195263, 'n': 76, 'trace_an': 54}
  • id: 67345277
    {'hecke_orbit_code': 117093590345195263, 'n': 77, 'trace_an': 2}
  • id: 67345278
    {'hecke_orbit_code': 117093590345195263, 'n': 78, 'trace_an': -6}
  • id: 67345279
    {'hecke_orbit_code': 117093590345195263, 'n': 79, 'trace_an': 3}
  • id: 67345280
    {'hecke_orbit_code': 117093590345195263, 'n': 80, 'trace_an': 16}
  • id: 67345281
    {'hecke_orbit_code': 117093590345195263, 'n': 81, 'trace_an': 4}
  • id: 67345282
    {'hecke_orbit_code': 117093590345195263, 'n': 82, 'trace_an': -52}
  • id: 67345283
    {'hecke_orbit_code': 117093590345195263, 'n': 83, 'trace_an': 8}
  • id: 67345284
    {'hecke_orbit_code': 117093590345195263, 'n': 84, 'trace_an': -14}
  • id: 67345285
    {'hecke_orbit_code': 117093590345195263, 'n': 85, 'trace_an': 8}
  • id: 67345286
    {'hecke_orbit_code': 117093590345195263, 'n': 86, 'trace_an': -14}
  • id: 67345287
    {'hecke_orbit_code': 117093590345195263, 'n': 87, 'trace_an': 8}
  • id: 67345288
    {'hecke_orbit_code': 117093590345195263, 'n': 88, 'trace_an': -6}
  • id: 67345289
    {'hecke_orbit_code': 117093590345195263, 'n': 89, 'trace_an': -16}
  • id: 67345290
    {'hecke_orbit_code': 117093590345195263, 'n': 90, 'trace_an': 0}
  • id: 67345291
    {'hecke_orbit_code': 117093590345195263, 'n': 91, 'trace_an': 1}
  • id: 67345292
    {'hecke_orbit_code': 117093590345195263, 'n': 92, 'trace_an': 0}
  • id: 67345293
    {'hecke_orbit_code': 117093590345195263, 'n': 93, 'trace_an': -3}
  • id: 67345294
    {'hecke_orbit_code': 117093590345195263, 'n': 94, 'trace_an': -20}
  • id: 67345295
    {'hecke_orbit_code': 117093590345195263, 'n': 95, 'trace_an': 13}
  • id: 67345296
    {'hecke_orbit_code': 117093590345195263, 'n': 96, 'trace_an': -32}
  • id: 67345297
    {'hecke_orbit_code': 117093590345195263, 'n': 97, 'trace_an': 46}
  • id: 67345298
    {'hecke_orbit_code': 117093590345195263, 'n': 98, 'trace_an': -28}
  • id: 67345299
    {'hecke_orbit_code': 117093590345195263, 'n': 99, 'trace_an': 5}
  • id: 67345300
    {'hecke_orbit_code': 117093590345195263, 'n': 100, 'trace_an': 8}