Newform data - 350.4.c.i

Formats: - HTML - YAML - JSON - 2025-09-23T09:55:12.019791

• 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': 5600, 'analytic_conductor': 20.650668502009214, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 2, 'char_parity': 1, 'char_values': [350, 2, [127, 101], [1, 2]], 'cm_discs': [], 'conrey_index': 99, 'dim': 2, 'field_disc': -4, 'field_disc_factorization': [[-1, 1], [2, 2]], 'field_poly': [1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 4, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [1, 0, 1]], [11, [35, 1]]], 'hecke_orbit': 9, 'hecke_orbit_code': 36028934525026654, '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': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '350.4.c.i', 'level': 350, '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, 7], 'level_radical': 70, 'minimal_twist': '350.4.a.d', 'nf_label': '2.0.4.1', 'prim_orbit_index': 2, 'qexp_display': 'q-2 i q^{2}+i q^{3}-4 q^{4}+2 q^{6}+7 i q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '3.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '350.4.c', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1688766997664459977, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.010', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.905', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.193', 'prec': 17}, {'__RealLiteral__': 0, 'data': '15.140', 'prec': 20}, {'__RealLiteral__': 0, 'data': '3.217', 'prec': 17}, {'__RealLiteral__': 0, 'data': '149.969', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.509', 'prec': 17}, 'traces': [2, 0, 0, -8, 0, 4, 0, 0, 52, 0, -70, 0, 0, 28, 0, 32, 0, 0, -46, 0, -14, 0, 0, -16, 0, -232, 0, 0, 348, 0, 152, 0, 0, 428, 0, -208, 0, 0, 116, 0, 862, 0, 0, 280, 0, 800, 0, 0, -98, 0, -214, 0, 0, 212, 0, -112, 0, 0, -152, 0, 236, 0, 0, -128, 0, -140, 0, 0, -400, 0, 1060, 0, 0, 736, 0, 184, 0, 0, -804, 0, 1298, 0, 0, 56, 0, -576, 0, 0, 1598, 0, 812, 0, 0, 2104, 0, 64, 0, 0, -1820, 0, 0, 0, 0, 928, 0, -432, 0, 0, -4316, 0, -368, 0, 0, -92, 0, -1392, 0, 0, -1498, 0, -212, 0, 0, -608, 0, 728, 0, 0, 288, 0, -3024, 0, 0, 2748, 0, -1712, 0, 0, 4658, 0, -1052, 0, 0, 832, 0, 1196, 0, 0, -6216, 0, -2384, 0, 0, -980, 0, -464, 0, 0, 216, 0, -2800, 0, 0, -3448, 0, -3588, 0, 0, -2334, 0, -1196, 0, 0, 696, 0, -1120, 0, 0, -794, 0, 1300, 0, 0, -3200, 0, 304, 0, 0, -742, 0, -2852, 0, 0, 6040, 0, 392, 0, 0, -7780, 0, -1374, 0, 0, 856, 0, 1648, 0, 0, 1610, 0, -8018, 0, 0, -3404, 0, -848, 0, 0, -598, 0, 12412, 0, 0, 448, 0, 1508, 0, 0, 6892, 0, 490, 0, 0, -6032, 0, 608, 0, 0, 12248, 0, 13950, 0, 0, -944, 0, 1724, 0, 0, 1794, 0, 3794, 0, 0, -3048, 0, 512, 0, 0, -2576, 0, 9048, 0, 0, 560, 0, -644, 0, 0, 15276, 0, -10932, 0, 0, -1676, 0, 1600, 0, 0, 3952, 0, -9892, 0, 0, -4240, 0, 8120, 0, 0, -13072, 0, -3020, 0, 0, -196, 0, -2944, 0, 0, 23200, 0, 2016, 0, 0, -736, 0, 11128, 0, 0, -824, 0, 12292, 0, 0, 7088, 0, 3216, 0, 0, -12180, 0, 1702, 0, 0, -5192, 0, 11892, 0, 0, -7364, 0, -2254, 0, 0, -16, 0, -224, 0, 0, -754, 0, -5320, 0, 0, 2304, 0, -13736, 0, 0, 15824, 0, 6148, 0, 0, -304, 0, -6392, 0, 0, 22132, 0, -12660, 0, 0, -3248, 0, 472, 0, 0, 22412, 0, 1512, 0, 0, -14980, 0, -8416, 0, 0, 12178, 0, 1524, 0, 0, -256, 0, -5428, 0, 0, -10944, 0, -42800, 0, 0, -18744, 0, 7280, 0, 0, 322, 0, 27834, 0, 0, 0, 0, 4872, 0, 0, -24542, 0, 838, 0, 0, 20800, 0, -3712, 0, 0, -17958, 0, 12200, 0, 0, 1728, 0, 2120, 0, 0, -4060, 0, 648, 0, 0, 2128, 0, 17264, 0, 0, 27656, 0, -2548, 0, 0, 1472, 0, -20616, 0, 0, -2354, 0, -30170, 0, 0, -6096, 0, 368, 0, 0, -11342, 0, 10564, 0, 0, 5568, 0, 2792, 0, 0, -9618, 0, -3544, 0, 0, -1608, 0, 5992, 0, 0, -2892, 0, 21344, 0, 0, 848, 0, 8320, 0, 0, -5946, 0, -27384, 0, 0, 5336, 0, 2432, 0, 0, -39848, 0, 8, 0, 0, -2912, 0, -28000, 0, 0, 5852, 0, -4186, 0, 0, -18616, 0, -1152, 0, 0, 6868, 0, 36222, 0, 0, 12096, 0, 8760, 0, 0, -55666, 0, -3952, 0, 0, 3196, 0, -10992, 0, 0, 3430, 0, -34004, 0, 0, 6848, 0, 1624, 0, 0, 6136, 0, -8004, 0, 0, -1240, 0, -18632, 0, 0, -16704, 0, 7490, 0, 0, 4208, 0, 1564, 0, 0, -9018, 0, 11864, 0, 0, 12068, 0, -3328, 0, 0, 2714, 0, 12558, 0, 0, -4784, 0, -16488, 0, 0, -3496, 0, 9372, 0, 0, -7420, 0, 24864, 0, 0, -25648, 0, 82, 0, 0, 9536, 0, 0, 0, 0, -2436, 0, 61016, 0, 0, 33116, 0, 3920, 0, 0, 57592, 0, -21200, 0, 0, 1856, 0, -36760, 0, 0, -39376, 0, -25392, 0, 0, 15248, 0, -864, 0, 0, 27560, 0, 8004, 0, 0, 11200, 0, -9844, 0, 0, 5320, 0, -1064, 0, 0, -8632, 0, 13792, 0, 0, -20318, 0, -18020, 0, 0, 14352, 0, 19136, 0, 0, 10308, 0, -8260, 0, 0, 8012, 0, 9336, 0, 0, -21140, 0, 3048, 0, 0, 4784, 0, -1372, 0, 0, -12528, 0, -12442, 0, 0, 43668, 0, -2784, 0, 0, -1396, 0, 5136, 0, 0, 4480, 0, -7416, 0, 0, 68728, 0, -20904, 0, 0, -2996, 0, 3176, 0, 0, -38496, 0, -5768, 0, 0, -5200, 0, -424, 0, 0, 30886, 0, 30816, 0, 0, 24544, 0, 12800, 0, 0, 64728, 0, -2668, 0, 0, -1216, 0, 18352, 0, 0, 11914, 0, 15980, 0, 0, -40368, 0, 2968, 0, 0, 14000, 0, 75934, 0, 0, 11408, 0, -11832, 0, 0, 19138, 0, 9308, 0, 0, -14976, 0, -24160, 0, 0, -19826, 0, -37100, 0, 0, -1568, 0, -6048, 0, 0, -4380, 0, -5278, 0, 0, -12920, 0, 31120, 0, 0, -112564, 0, 41548, 0, 0, 5496, 0, -17632, 0, 0, -17708, 0, 33624, 0, 0, -25760, 0, -3424, 0, 0, 21112, 0, 40832, 0, 0, -6592, 0, -2128, 0, 0, 20312, 0, 620, 0, 0, 9316, 0, -6440, 0, 0, 39924, 0, 11774, 0, 0, 32072, 0, 54704, 0, 0, -782, 0, -73600, 0, 0, 3304, 0, 13616, 0, 0, -17662, 0, -6034, 0, 0, 3392, 0, -32652, 0, 0, 28140, 0, 79692, 0, 0, -18400, 0, 2392, 0, 0, 8244, 0, -42828, 0, 0, -49648, 0, 59764, 0, 0, 10668, 0, -45430, 0, 0, -12432, 0, -1792, 0, 0, 26448, 0, 23112, 0, 0, -6032, 0, -4768, 0, 0, 0, 0, 17016, 0, 0, 17380, 0, -27568, 0, 0, 44812, 0, -16558, 0, 0, -1960, 0, -31904, 0, 0, -98588, 0, 2254, 0, 0, -56048, 0, 24128, 0, 0, 18380, 0, -8448, 0, 0, -2432, 0, 20160, 0, 0, 34684, 0, -7624, 0, 0, -11232, 0, -48992, 0, 0, 5866, 0, -48030, 0, 0, -55800, 0, -5600, 0, 0, 4922, 0, 13518, 0, 0, -44568, 0, 3776, 0, 0, -55930, 0, -112216, 0, 0, -6896, 0, 74472, 0, 0, 57600, 0, 11768, 0, 0, 14840, 0, -7176, 0, 0, -19504, 0], 'weight': 4, 'weight_parity': 1}
• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
  {'an': [[1, 0], [0, -2], [0, 1], [-4, 0], [0, 0], [2, 0], [0, 7], [0, 8], [26, 0], [0, 0], [-35, 0], [0, -4], [0, -58], [14, 0], [0, 0], [16, 0], [0, 107], [0, -52], [-23, 0], [0, 0], [-7, 0], [0, 70], [0, 200], [-8, 0], [0, 0], [-116, 0], [0, 53], [0, -28], [174, 0], [0, 0], [76, 0], [0, -32], [0, -35], [214, 0], [0, 0], [-104, 0], [0, 184], [0, 46], [58, 0], [0, 0], [431, 0], [0, 14], [0, -144], [140, 0], [0, 0], [400, 0], [0, 526], [0, 16], [-49, 0], [0, 0], [-107, 0], [0, 232], [0, -108], [106, 0], [0, 0], [-56, 0], [0, -23], [0, -348], [-76, 0], [0, 0], [118, 0], [0, -152], [0, 182], [-64, 0], [0, 0], [-70, 0], [0, 687], [0, -428], [-200, 0], [0, 0], [530, 0], [0, 208], [0, 299], [368, 0], [0, 0], [92, 0], [0, -245], [0, -116], [-402, 0], [0, 0], [649, 0], [0, -862], [0, -897], [28, 0], [0, 0], [-288, 0], [0, 174], [0, -280], [799, 0], [0, 0], [406, 0], [0, -800], [0, 76], [1052, 0], [0, 0], [32, 0], [0, 1510], [0, 98], [-910, 0], [0, 0]], 'ap': [[0, -2], [0, 1], [0, 0], [0, 7], [-35, 0], [0, -58], [0, 107], [-23, 0], [0, 200], [174, 0], [76, 0], [0, 184], [431, 0], [0, -144], [0, 526], [0, -108], [-76, 0], [118, 0], [0, 687], [530, 0], [0, 299], [-402, 0], [0, -897], [799, 0], [0, 1510], [0, 0], [0, 412], [0, -851], [-2158, 0], [0, 377], [0, -762], [-1512, 0], [0, -419], [2329, 0], [-3108, 0], [-1192, 0], [0, 1772], [0, 2973], [0, -4], [0, -3434], [-397, 0], [650, 0], [-1426, 0], [0, -1357], [0, -4686], [-3890, 0], [-4009, 0], [0, -5154], [0, -1524], [3446, 0], [0, 698], [6124, 0], [6975, 0], [1897, 0], [0, -4654], [0, 2190], [7638, 0], [-5466, 0], [0, -310], [-4946, 0], [0, 391], [0, -4122], [0, 8279], [6146, 0], [0, -9190], [0, 3812], [-1127, 0], [0, 2003], [0, 10917], [7912, 0], [0, -1854], [11066, 0], [0, 6136], [0, 4588], [6089, 0], [0, -2958], [-5472, 0], [0, -3230], [13917, 0], [-12271, 0], [-8979, 0], [6100, 0], [324, 0], [0, -8163], [13828, 0], [0, 14941], [-1177, 0], [0, 4345], [5282, 0], [0, -7976], [0, -14012], [-1446, 0], [0, -11142], [-13692, 0], [-19924, 0], [0, 4970], [2926, 0], [18111, 0], [0, -9431], [-17002, 0], [0, 18061], [0, -17348], [0, 23460], [-4509, 0], [5932, 0], [0, -12631], [0, 1041], [0, 12363], [-12824, 0], [41, 0], [0, 19284], [0, -11306], [0, 4222], [28796, 0], [-12696, 0], [4002, 0], [0, 2528], [0, 5416], [0, 3436], [-10159, 0], [-9010, 0], [0, -1538], [0, 18816], [0, -4829], [-6221, 0], [2568, 0], [34364, 0], [-19248, 0], [0, -14262], [0, -13680], [32364, 0], [0, -25632], [7990, 0], [0, 13214], [37967, 0], [9569, 0], [0, 27908], [0, -8884], [0, 31866], [-8854, 0], [16812, 0], [20416, 0], [0, -23110], [0, 7983], [10156, 0], [19962, 0], [0, -47422], [0, -17641], [-8831, 0], [0, -19908], [0, -41584], [-21414, 0], [0, 14975], [0, -11702], [0, -15252], [8508, 0], [22406, 0], [-49294, 0], [0, 24669], [-4224, 0], [0, -39252], [0, 33567], [0, -56126], [6759, 0], [0, -35547], [0, -35252], [5884, 0], [0, -39874]], 'char_orbit_index': 3, 'field_poly': [1, 0, 1], 'hecke_orbit_code': 36028934525026654, 'hecke_ring_character_values': [[127, [-1, 0]], [101, [1, 0]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 2, 'label': '350.4.c.i', 'level': 350, 'maxp': 997, '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

  
  {'Nk2': 5600, 'analytic_conductor': 20.650668502009214, 'char_conductor': 5, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 2, 'char_parity': 1, 'char_values': [350, 2, [127, 101], [1, 2]], 'conrey_index': 99, 'cusp_dim': 168, 'dim': 28, 'eis_dim': 24, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 11], 'hecke_orbit_code': 137506062686, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2], 'label': '350.4.c', 'level': 350, '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, 7], 'level_radical': 70, 'mf_dim': 192, 'mf_new_dim': 28, 'num_forms': 14, 'prim_orbit_index': 2, 'relative_dim': 28, 'sturm_bound': 240, 'trace_bound': 11, 'trace_display': [0, 0, 0, 0], 'traces': [28, 0, 0, -112, 0, 0, 0, 0, -96, 0, 28, 0, 0, -56, 0, 448, 0, 0, 96, 0, 308, 0, 0, 0, 0, 72, 0, 0, -784, 0, -288, 0, 0, 968, 0, 384, 0, 0, 1280, 0, -1372, 0, 0, -112, 0, 224, 0, 0, -1372, 0, 2996, 0, 0, 648, 0, 224, 0, 0, 460, 0, -900, 0, 0, -1792, 0, -712, 0, 0, 56, 0, 2448, 0, 0, 1472, 0, -384, 0, 0, -248, 0, 3444, 0, 0, -1232, 0, -464, 0, 0, 492, 0, -644, 0, 0, -1664, 0, 0, 0, 0, -4392, 0, -892, 0, 0, -288, 0, -2032, 0, 0, 8240, 0, -2000, 0, 0, 792, 0, 3136, 0, 0, -3192, 0, 3520, 0, 0, 1152, 0, 1512, 0, 0, -232, 0, -4388, 0, 0, -4648, 0, -3872, 0, 0, 7456, 0, -8336, 0, 0, -1536, 0, -1864, 0, 0, -13640, 0, 528, 0, 0, -1904, 0, -5120, 0, 0, 6680, 0, 784, 0, 0, 5488, 0, -896, 0, 0, -3636, 0, 5556, 0, 0, 10464, 0, 448, 0, 0, 22556, 0, -26764, 0, 0, -896, 0, 4544, 0, 0, -9128, 0, 7360, 0, 0, 8816, 0, 5488, 0, 0, -2584, 0, -14604, 0, 0, -11984, 0, -11920, 0, 0, 19260, 0, -4204, 0, 0, 6280, 0, -2592, 0, 0, -31956, 0, -2408, 0, 0, -896, 0, 18344, 0, 0, -13468, 0, 10248, 0, 0, -9144, 0, -1840, 0, 0, 936, 0, 32412, 0, 0, 3600, 0, 4424, 0, 0, -12708, 0, -35152, 0, 0, 4784, 0, 7168, 0, 0, -3976, 0, 54160, 0, 0, 2848, 0, 9464, 0, 0, 620, 0, -15856, 0, 0, -12040, 0, -224, 0, 0, 52448, 0, -2952, 0, 0, -9792, 0, 13072, 0, 0, -46848, 0, 16472, 0, 0, 0, 0, -5888, 0, 0, -2424, 0, 2072, 0, 0, 1536, 0, -42928, 0, 0, 70760, 0, 51944, 0, 0, 17960, 0, 992, 0, 0, -23144, 0, 9540, 0, 0, -13776, 0, 25176, 0, 0, 3920, 0, 18772, 0, 0, 2704, 0, 4928, 0, 0, -33180, 0, -63688, 0, 0, 1856, 0, -50328, 0, 0, -2004, 0, -52688, 0, 0, -58096, 0, -1968, 0, 0, 26400, 0, -11480, 0, 0, 2576, 0, -13584, 0, 0, 52440, 0, -12880, 0, 0, 50408, 0, 6656, 0, 0, 27604, 0, 70368, 0, 0, 0, 0, 16600, 0, 0, -47160, 0, 20832, 0, 0, 16448, 0, 17568, 0, 0, 16968, 0, 39132, 0, 0, 3568, 0, 12544, 0, 0, -38668, 0, -50276, 0, 0, 7072, 0, 1152, 0, 0, -79056, 0, -44048, 0, 0, 8128, 0, 66928, 0, 0, 38752, 0, 42984, 0, 0, -6608, 0, -32960, 0, 0, -47048, 0, 4704, 0, 0, 8000, 0, -51696, 0, 0, 26924, 0, 41196, 0, 0, -68344, 0, -3168, 0, 0, -55988, 0, 14308, 0, 0, -12544, 0, 59008, 0, 0, 21504, 0, -11904, 0, 0, 69968, 0, 12768, 0, 0, -7672, 0, 17488, 0, 0, -14080, 0, -127656, 0, 0, 36052, 0, -87376, 0, 0, -54256, 0, -4608, 0, 0, -6840, 0, -94296, 0, 0, -6048, 0, -22272, 0, 0, 52828, 0, -26768, 0, 0, 36416, 0, 928, 0, 0, 45088, 0, 64268, 0, 0, 17552, 0, 111856, 0, 0, -24708, 0, -84092, 0, 0, 72104, 0, 18592, 0, 0, -1372, 0, -25576, 0, 0, 15488, 0, 23072, 0, 0, -4052, 0, -53296, 0, 0, -13984, 0, -29824, 0, 0, -65576, 0, -140436, 0, 0, 33344, 0, 56768, 0, 0, 1804, 0, 7760, 0, 0, -24304, 0, 6144, 0, 0, 80732, 0, 34804, 0, 0, 7456, 0, -113288, 0, 0, 10416, 0, 110520, 0, 0, -115400, 0, 54560, 0, 0, 77168, 0, -125972, 0, 0, -2112, 0, 83008, 0, 0, 19096, 0, 105464, 0, 0, -8080, 0, 7616, 0, 0, -60260, 0, 16480, 0, 0, 20480, 0, -105104, 0, 0, -59840, 0, 78080, 0, 0, -59632, 0, -26720, 0, 0, -16072, 0, 117256, 0, 0, -3136, 0, -76216, 0, 0, 41752, 0, -37408, 0, 0, 45632, 0, -21952, 0, 0, 45300, 0, 123540, 0, 0, 3584, 0, 5408, 0, 0, 8208, 0, 32400, 0, 0, 48760, 0, 14544, 0, 0, -5320, 0, 44624, 0, 0, -22224, 0, 2744, 0, 0, -197688, 0, 137576, 0, 0, -11944, 0, -41856, 0, 0, -56088, 0, -135696, 0, 0, -1792, 0, 28576, 0, 0, 33904, 0, -65960, 0, 0, 7728, 0, -90224, 0, 0, 116672, 0, -47152, 0, 0, 107056, 0, 78296, 0, 0, -8556, 0, 37568, 0, 0, -132032, 0, 3584, 0, 0, 175784, 0, 279288, 0, 0, -18176, 0, 161968, 0, 0, -20384, 0, 147728, 0, 0, 6864, 0, 36512, 0, 0, -184728, 0, -70820, 0, 0, -29440, 0, -96288, 0, 0, -72548, 0, -193856, 0, 0, 5520, 0, -35264, 0, 0, 131876, 0, -113152, 0, 0, -21952, 0, -113264, 0, 0, -127184, 0, -88536, 0, 0, -13352, 0, 10336, 0, 0, -185568, 0, 90032, 0, 0, 58416, 0, 181888, 0, 0, 4624, 0, -66500, 0, 0, 37376, 0, 47936, 0, 0, 112028, 0, -42936, 0, 0, 47680, 0, 23240, 0, 0, 58884, 0, 376192, 0, 0, 41944, 0, -77040, 0, 0, 130472, 0, 99860, 0, 0, 16816, 0, 213744, 0, 0, -131212, 0, -156808, 0, 0, -34776, 0, -25120, 0, 0, -154680, 0, -68488, 0, 0, 10368, 0, -99976, 0, 0, 221512, 0, -132752, 0, 0, 640, 0, 127824, 0, 0, 244992, 0, -139312, 0, 0, 9632, 0, -39000, 0, 0, -39088, 0, -68964, 0, 0, -162608, 0, 3584, 0, 0, 47384, 0, 83664, 0, 0, -73376, 0, -267904, 0, 0, 110668, 0, -93384, 0, 0, 66248, 0, 53872, 0, 0, 134824, 0, -324140, 0, 0, -40992, 0, -17856, 0, 0, 65160, 0, -4704, 0, 0, 76456, 0, 36576, 0, 0, -319544, 0, 247348, 0, 0, 7360, 0, 140352, 0, 0, -70656, 0, -227344, 0, 0, 127088, 0, -3744, 0, 0, 51296, 0, 32940, 0, 0, -129648, 0, -20384, 0, 0, -51092, 0, -25952, 0, 0, 28784, 0, -14400, 0, 0, 258300, 0, 143344, 0, 0, -17696, 0, -117744, 0, 0, -508584, 0, -159176, 0, 0, 896, 0, 50832, 0, 0, -382096, 0], 'weight': 4, 'weight_parity': 1}
• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 266494
    {'conductor': 5, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 2, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '350.4.c.i', 'source_level': 350, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '350.4.a.d', 'target_level': 350, 'twist_class_label': '350.4.a.d', 'twist_class_level': 350, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 4}
  • id: 266495
    {'conductor': 5, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 2, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '350.4.c.i', 'source_level': 350, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 19, 'target_is_minimal': True, 'target_label': '350.4.a.s', 'target_level': 350, 'twist_class_label': '350.4.a.d', 'twist_class_level': 350, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 4}
  • id: 266496
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 3, 'source_dim': 2, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '350.4.c.i', 'source_level': 350, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '350.4.c.i', 'target_level': 350, 'twist_class_label': '350.4.a.d', 'twist_class_level': 350, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 4}
  • id: 266497
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 2, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '350.4.c.i', 'source_level': 350, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '350.4.c.i', 'target_level': 350, 'twist_class_label': '350.4.a.d', 'twist_class_level': 350, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 4}
  • id: 266498
    {'conductor': 35, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 2, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '350.4.c.i', 'source_level': 350, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 12, 'target_is_minimal': False, 'target_label': '2450.4.a.l', 'target_level': 2450, 'twist_class_label': '350.4.a.d', 'twist_class_level': 350, 'twisting_char_label': '35.f', 'twisting_char_orbit': 6, 'weight': 4}
  • id: 266499
    {'conductor': 35, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 2, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '350.4.c.i', 'source_level': 350, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 30, 'target_is_minimal': False, 'target_label': '2450.4.a.bd', 'target_level': 2450, 'twist_class_label': '350.4.a.d', 'twist_class_level': 350, 'twisting_char_label': '35.f', 'twisting_char_orbit': 6, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 753750
    {'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 36028934525026654, 'p': 2}
  • id: 753751
    {'charpoly_factorization': [[[1, 0, 1], 1]], 'hecke_orbit_code': 36028934525026654, 'p': 3}
  • id: 753752
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 36028934525026654, 'p': 5}
  • id: 753753
    {'charpoly_factorization': [[[49, 0, 1], 1]], 'hecke_orbit_code': 36028934525026654, 'p': 7}
  • id: 753754
    {'charpoly_factorization': [[[35, 1], 2]], 'hecke_orbit_code': 36028934525026654, 'p': 11}
  • id: 753755
    {'charpoly_factorization': [[[3364, 0, 1], 1]], 'hecke_orbit_code': 36028934525026654, 'p': 13}
  • id: 753756
    {'charpoly_factorization': [[[11449, 0, 1], 1]], 'hecke_orbit_code': 36028934525026654, 'p': 17}
  • id: 753757
    {'charpoly_factorization': [[[23, 1], 2]], 'hecke_orbit_code': 36028934525026654, 'p': 19}
  • id: 753758
    {'charpoly_factorization': [[[40000, 0, 1], 1]], 'hecke_orbit_code': 36028934525026654, 'p': 23}
  • id: 753759
    {'charpoly_factorization': [[[-174, 1], 2]], 'hecke_orbit_code': 36028934525026654, 'p': 29}
  • id: 753760
    {'charpoly_factorization': [[[-76, 1], 2]], 'hecke_orbit_code': 36028934525026654, 'p': 31}
  • id: 753761
    {'charpoly_factorization': [[[33856, 0, 1], 1]], 'hecke_orbit_code': 36028934525026654, 'p': 37}
  • id: 753762
    {'charpoly_factorization': [[[-431, 1], 2]], 'hecke_orbit_code': 36028934525026654, 'p': 41}
  • id: 753763
    {'charpoly_factorization': [[[20736, 0, 1], 1]], 'hecke_orbit_code': 36028934525026654, 'p': 43}
  • id: 753764
    {'charpoly_factorization': [[[276676, 0, 1], 1]], 'hecke_orbit_code': 36028934525026654, 'p': 47}
  • id: 753765
    {'charpoly_factorization': [[[11664, 0, 1], 1]], 'hecke_orbit_code': 36028934525026654, 'p': 53}
  • id: 753766
    {'charpoly_factorization': [[[76, 1], 2]], 'hecke_orbit_code': 36028934525026654, 'p': 59}
  • id: 753767
    {'charpoly_factorization': [[[-118, 1], 2]], 'hecke_orbit_code': 36028934525026654, 'p': 61}
  • id: 753768
    {'charpoly_factorization': [[[471969, 0, 1], 1]], 'hecke_orbit_code': 36028934525026654, 'p': 67}
  • id: 753769
    {'charpoly_factorization': [[[-530, 1], 2]], 'hecke_orbit_code': 36028934525026654, 'p': 71}
  • id: 753770
    {'charpoly_factorization': [[[89401, 0, 1], 1]], 'hecke_orbit_code': 36028934525026654, 'p': 73}
  • id: 753771
    {'charpoly_factorization': [[[402, 1], 2]], 'hecke_orbit_code': 36028934525026654, 'p': 79}
  • id: 753772
    {'charpoly_factorization': [[[804609, 0, 1], 1]], 'hecke_orbit_code': 36028934525026654, 'p': 83}
  • id: 753773
    {'charpoly_factorization': [[[-799, 1], 2]], 'hecke_orbit_code': 36028934525026654, 'p': 89}
  • id: 753774
    {'charpoly_factorization': [[[2280100, 0, 1], 1]], 'hecke_orbit_code': 36028934525026654, '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': 3, 'hecke_orbit': 9, 'label': '350.4.c.i', 'level': 350, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 51968143
    {'hecke_orbit_code': 36028934525026654, 'n': 1, 'trace_an': 2}
  • id: 51968144
    {'hecke_orbit_code': 36028934525026654, 'n': 2, 'trace_an': 0}
  • id: 51968145
    {'hecke_orbit_code': 36028934525026654, 'n': 3, 'trace_an': 0}
  • id: 51968146
    {'hecke_orbit_code': 36028934525026654, 'n': 4, 'trace_an': -8}
  • id: 51968147
    {'hecke_orbit_code': 36028934525026654, 'n': 5, 'trace_an': 0}
  • id: 51968148
    {'hecke_orbit_code': 36028934525026654, 'n': 6, 'trace_an': 4}
  • id: 51968149
    {'hecke_orbit_code': 36028934525026654, 'n': 7, 'trace_an': 0}
  • id: 51968150
    {'hecke_orbit_code': 36028934525026654, 'n': 8, 'trace_an': 0}
  • id: 51968151
    {'hecke_orbit_code': 36028934525026654, 'n': 9, 'trace_an': 52}
  • id: 51968152
    {'hecke_orbit_code': 36028934525026654, 'n': 10, 'trace_an': 0}
  • id: 51968153
    {'hecke_orbit_code': 36028934525026654, 'n': 11, 'trace_an': -70}
  • id: 51968154
    {'hecke_orbit_code': 36028934525026654, 'n': 12, 'trace_an': 0}
  • id: 51968155
    {'hecke_orbit_code': 36028934525026654, 'n': 13, 'trace_an': 0}
  • id: 51968156
    {'hecke_orbit_code': 36028934525026654, 'n': 14, 'trace_an': 28}
  • id: 51968157
    {'hecke_orbit_code': 36028934525026654, 'n': 15, 'trace_an': 0}
  • id: 51968158
    {'hecke_orbit_code': 36028934525026654, 'n': 16, 'trace_an': 32}
  • id: 51968159
    {'hecke_orbit_code': 36028934525026654, 'n': 17, 'trace_an': 0}
  • id: 51968160
    {'hecke_orbit_code': 36028934525026654, 'n': 18, 'trace_an': 0}
  • id: 51968161
    {'hecke_orbit_code': 36028934525026654, 'n': 19, 'trace_an': -46}
  • id: 51968162
    {'hecke_orbit_code': 36028934525026654, 'n': 20, 'trace_an': 0}
  • id: 51968163
    {'hecke_orbit_code': 36028934525026654, 'n': 21, 'trace_an': -14}
  • id: 51968164
    {'hecke_orbit_code': 36028934525026654, 'n': 22, 'trace_an': 0}
  • id: 51968165
    {'hecke_orbit_code': 36028934525026654, 'n': 23, 'trace_an': 0}
  • id: 51968166
    {'hecke_orbit_code': 36028934525026654, 'n': 24, 'trace_an': -16}
  • id: 51968167
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