Embedded newform data - 2300.3.d.c.1149.10

Formats: - HTML - YAML - JSON - 2024-06-19T14:46:51.853633

• 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': 20700, 'analytic_conductor': 62.670460802868284, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 115, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 4, 'char_orbit_label': 'd', 'char_order': 2, 'char_parity': -1, 'char_values': [2300, 2, [1151, 277, 1201], [2, 1, 1]], 'cm_discs': [], 'conrey_index': 1149, 'dim': 32, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [1322500, 0, 17599800, 0, 17009136, 0, 6140261, 0, 1035323, 0, 91109, 0, 4314, 0, 104, 0, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007405463505148, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 2, 1, 2, 0], [1, 1, 23, 2, -1, 2, 0], [1, 1, 115, 3, -1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '2300.3.d.c', 'level': 2300, '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, 23], 'level_radical': 230, 'minimal_twist': '2300.3.f.c', 'prim_orbit_index': 3, 'related_objects': [], 'relative_dim': 32, 'rm_discs': [], 'sato_tate_group': '2.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2300.3.d', 'trace_display': [0, 0, 0, 0], 'traces': [32, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 56, 0, 0, 0, 0, 0, 0, 0, -148, 0, -180, 0, 0, 0, 0, 0, 0, 0, 380, 0, 0, 0, 0, 0, 0, 0, 0, 0, 348, 0, 0, 0, 0, 0, 0, 0, 0, 0, -100, 0, 232, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -724, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 344, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, -312, 0, 0, 0, 0, 0, 0, 0, 440, 0, 188, 0, 0, 0, 0, 0, 0, 0, 0, 0, 888, 0, 0, 0, 0, 0, 0, 0, 0, 0, 364, 0, 0, 0, 0, 0, 0, 0, -660, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1336, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -60, 0, -1068, 0, 0, 0, 0, 0, 0, 0, -1332, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 832, 0, 0, 0, 0, 0, 0, 0, -1568, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3200, 0, -2136, 0, 0, 0, 0, 0, 0, 0, -28, 0, -2276, 0, 0, 0, 0, 0, 0, 0, 588, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2888, 0, 0, 0, 0, 0, 0, 0, 0, 0, 888, 0, 340, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1792, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2424, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3484, 0, 4884, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1500, 0, 0, 0, 0, 0, 0, 0, 2400, 0, -720, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4772, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1132, 0, 0, 0, 0, 0, 0, 0, -2008, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2220, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 816, 0, -4500, 0, 0, 0, 0, 0, 0, 0, -1140, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4324, 0, 0, 0, 0, 0, 0, 0, -4832, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1420, 0, -920, 0, 0, 0, 0, 0, 0, 0, 3064, 0, -4344, 0, 0, 0, 0, 0, 0, 0, 376, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4304, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, -1172, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1052, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5344, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2456, 0, 3436, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1488, 0, 0, 0, 0, 0, 0, 0, 7564, 0, 2584, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3712, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2640, 0, 0, 0, 0, 0, 0, 0, -1272, 0, 0, 0, 0, 0, 0, 0, 0, 0, -9600, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1152, 0, 2752, 0, 0, 0, 0, 0, 0, 0, 5368, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6076, 0, 0, 0, 0, 0, 0, 0, -8540, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6704, 0, -4612, 0, 0, 0, 0, 0, 0, 0, 6100, 0, -7480, 0, 0, 0, 0, 0, 0, 0, -3040, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7560, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2172, 0, -5060, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3440, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6024, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3488, 0, 3952, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5464, 0, 0, 0, 0, 0, 0, 0, 2544, 0, 2056, 0, 0, 0, 0, 0, 0, 0, 0, 0, 13652, 0, 0, 0, 0, 0, 0, 0, 0, 0, -232, 0, 0, 0, 0, 0, 0, 0, -6896, 0, 0, 0, 0, 0, 0, 0, 0, 0, -7660, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -11848, 0, -4576, 0, 0, 0, 0, 0, 0, 0, 10028, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6464, 0, 0, 0, 0, 0, 0, 0, -4444, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1480, 0, -12648, 0, 0, 0, 0, 0, 0, 0, 2376, 0, -7656, 0, 0, 0, 0, 0, 0, 0, 5696, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3048, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2948, 0, -8796, 0, 0, 0, 0, 0, 0, 0, 0, 0, 11628, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5196, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 456, 0, 2000, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6264, 0, 0, 0, 0, 0, 0, 0, 16032, 0, 3820, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3376, 0, 0, 0, 0, 0, 0, 0, 0, 0, -7680, 0, 0, 0, 0, 0, 0, 0, -20268, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1248, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8940, 0, -2972, 0, 0, 0, 0, 0, 0, 0, 12616, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 13192, 0, 0, 0, 0, 0, 0, 0, -3144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7988, 0, -11444, 0, 0, 0, 0, 0, 0, 0, 17400, 0, -4380, 0, 0, 0, 0, 0, 0, 0, 1832, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14540, 0, 0, 0, 0, 0, 0, 0, 0, 0, -7928, 0, -16176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 22300, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5132, 0, 6124, 0, 0, 0, 0, 0, 0, 0, 0, 0, 35000, 0, 0, 0, 0, 0, 0, 0, -252, 0, -10408, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9044, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12100, 0, 0, 0, 0, 0, 0, 0, -13348, 0, 0, 0, 0, 0, 0, 0, 0, 0, -10436, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -28296, 0, -6552, 0, 0, 0, 0, 0, 0, 0, 13808, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -780, 0, 0, 0, 0, 0, 0, 0, 6384, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 584, 0, -8208, 0, 0, 0, 0, 0, 0, 0, 22392, 0, -11176, 0, 0, 0, 0, 0, 0, 0, 8444, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5384, 0, 0, 0, 0, 0, 0, 0, 0, 0, -25276, 0, -27508, 0, 0, 0, 0, 0, 0, 0, 0, 0, 22172, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 408, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7976, 0, -7228, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12776, 0, 0, 0, 0, 0, 0, 0, 13400, 0, 11680, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3968, 0, 0, 0, 0, 0, 0, 0, 0, 0, -14068, 0, 0, 0, 0, 0, 0, 0, -8568, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3640, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -28616, 0, 6256, 0, 0, 0, 0, 0, 0, 0, 37904, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36988, 0, 0, 0, 0, 0, 0, 0, -7480, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15608, 0, -29516, 0, 0, 0, 0, 0, 0, 0, 29496, 0, -3364, 0, 0, 0, 0, 0, 0, 0, -17832, 0, 0, 0, 0, 0, 0, 0, 0, 0, 11740, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12276, 0, -20564, 0, 0, 0, 0, 0, 0, 0, 0, 0, 30456, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -14648, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3292, 0, 9928, 0, 0, 0, 0, 0, 0, 0, 0, 0, 22116, 0, 0, 0, 0, 0, 0, 0, 20192, 0, -11576, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18612, 0, 0, 0, 0, 0, 0, 0, 0, 0, -22192, 0, 0, 0, 0, 0, 0, 0, -22248, 0, 0, 0, 0, 0, 0, 0, 0, 0, -21656, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -26744, 0, -4288, 0, 0, 0, 0, 0, 0, 0, 31744, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5048, 0, 0, 0, 0, 0, 0, 0, -2004, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -10464, 0, -15544, 0, 0, 0, 0, 0, 0, 0, 16100, 0, -31108, 0, 0, 0, 0, 0, 0, 0, 7360, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6772, 0, 0, 0, 0, 0, 0, 0, 0, 0, -15392, 0, -51628, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28896, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6180, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3756, 0, -16856, 0, 0, 0, 0, 0, 0, 0, 0, 0, 43252, 0, 0, 0, 0, 0, 0, 0, 42192, 0, 10120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10968, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'weight': 3, '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], [0.0, 0.0], [0.0, 1.2971794661752398], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.8963696811333324, 0.0], [0.0, 0.0], [-0.6826745674666803, 0.0], [0.0, 0.0], [0.0, 1.015203887240285], [0.0, 0.0], [0.0, -1.2283176730003023], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.4063870649549768, 0.0], [0.0, 0.0], [0.0, -0.39751955260165656], [0.0, 0.0], [0.0, -1.162752344468206], [0.0, 0.0], [0.7998934520205951, 0.6001420376998897], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.41162803517739865], [0.0, 0.0], [-0.3567528568415051, 0.0], [0.0, 0.0], [1.7122951058397622, 0.0], [0.0, 0.0], [-1.3169016365093815, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.7232538128920112, 0.0], [0.0, 0.0], [1.593348463356145, 0.0], [0.0, 0.0], [0.9639060566650275, 0.0], [0.0, 0.0], [-0.2579519661285153, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.1951213665595748], [0.0, 0.0], [-0.1965213947449281, 0.0], [0.0, 0.0], [0.0, 1.8243364221540592], [0.0, 0.0], [-1.7451433125526377, 0.0], 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• mf_newspaces •

  Column	Type
  ALdims	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': 20700, 'analytic_conductor': 62.670460802868284, 'char_conductor': 115, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 4, 'char_orbit_label': 'd', 'char_order': 2, 'char_parity': -1, 'char_values': [2300, 2, [1151, 277, 1201], [2, 1, 1]], 'conrey_index': 1149, 'cusp_dim': 702, 'dim': 72, 'eis_dim': 36, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 206208764156, 'hecke_orbit_dims': [8, 32, 32], 'label': '2300.3.d', 'level': 2300, '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, 23], 'level_radical': 230, 'mf_dim': 738, 'mf_new_dim': 72, 'num_forms': 3, 'prim_orbit_index': 3, 'relative_dim': 72, 'sturm_bound': 1080, 'trace_bound': 29, 'trace_display': [0, 0, 0, 0], 'traces': [72, 0, 0, 0, 0, 0, 0, 0, -268, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, -16, 0, 0, 0, 0, 0, 0, 0, -272, 0, 4, 0, 0, 0, 0, 0, 0, 0, 432, 0, 0, 0, 0, 0, 0, 0, 0, 0, 512, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 864, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -448, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -196, 0, -836, 0, 0, 0, 0, 0, 0, 0, 0, 0, 692, 0, 0, 0, 0, 0, 0, 0, 368, 0, -952, 0, 0, 0, 0, 0, 0, 0, 0, 0, 76, 0, 0, 0, 0, 0, 0, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, -784, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1364, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1332, 0, -712, 0, 0, 0, 0, 0, 0, 0, -1856, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, -840, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2052, 0, -1564, 0, 0, 0, 0, 0, 0, 0, -2068, 0, -712, 0, 0, 0, 0, 0, 0, 0, -216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1612, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1732, 0, -580, 0, 0, 0, 0, 0, 0, 0, 0, 0, 828, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 632, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2276, 0, 1456, 0, 0, 0, 0, 0, 0, 0, 0, 0, 700, 0, 0, 0, 0, 0, 0, 0, -876, 0, -28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 448, 0, 0, 0, 0, 0, 0, 0, 0, 0, 208, 0, 0, 0, 0, 0, 0, 0, 1488, 0, 0, 0, 0, 0, 0, 0, 0, 0, 196, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3532, 0, -764, 0, 0, 0, 0, 0, 0, 0, -6696, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2256, 0, 0, 0, 0, 0, 0, 0, -3388, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3360, 0, -1864, 0, 0, 0, 0, 0, 0, 0, -96, 0, -16, 0, 0, 0, 0, 0, 0, 0, -1764, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5680, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3768, 0, -6504, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6232, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 928, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1028, 0, 944, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4004, 0, 0, 0, 0, 0, 0, 0, 2964, 0, 2112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1020, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8724, 0, 0, 0, 0, 0, 0, 0, 5836, 0, 0, 0, 0, 0, 0, 0, 0, 0, -7468, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6872, 0, 6312, 0, 0, 0, 0, 0, 0, 0, -704, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5372, 0, 0, 0, 0, 0, 0, 0, -6632, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3340, 0, -7100, 0, 0, 0, 0, 0, 0, 0, -7492, 0, -9376, 0, 0, 0, 0, 0, 0, 0, 1896, 0, 0, 0, 0, 0, 0, 0, 0, 0, -116, 0, 0, 0, 0, 0, 0, 0, 0, 0, 828, 0, -11932, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9676, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -500, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 124, 0, 4320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 11464, 0, 0, 0, 0, 0, 0, 0, 1508, 0, 2660, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14460, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3004, 0, 0, 0, 0, 0, 0, 0, -2728, 0, 0, 0, 0, 0, 0, 0, 0, 0, -508, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5680, 0, -4460, 0, 0, 0, 0, 0, 0, 0, -4232, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7536, 0, 0, 0, 0, 0, 0, 0, 4172, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -7060, 0, -11712, 0, 0, 0, 0, 0, 0, 0, -6632, 0, -3144, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 328, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6804, 0, -11968, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'weight': 3, 'weight_parity': -1}
• mf_twists_cc •

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

  
  
  • id: 40760735
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1149, 'source_dim': 32, 'source_embedding_index': 10, 'source_hecke_orbit_code': 9007405463505148, 'source_is_minimal': False, 'source_label': '2300.3.d.c.1149.10', 'source_level': 2300, 'target_conrey_index': 1149, 'target_dim': 32, 'target_embedding_index': 10, 'target_hecke_orbit_code': 9007405463505148, 'target_is_minimal': False, 'target_label': '2300.3.d.c.1149.10', 'target_level': 2300, 'twist_class_label': '2300.3.f.c.1701.3', 'twist_class_level': 2300, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 3}
  • id: 40760736
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1149, 'source_dim': 32, 'source_embedding_index': 10, 'source_hecke_orbit_code': 9007405463505148, 'source_is_minimal': False, 'source_label': '2300.3.d.c.1149.10', 'source_level': 2300, 'target_conrey_index': 1701, 'target_dim': 16, 'target_embedding_index': 13, 'target_hecke_orbit_code': 13511142529829116, 'target_is_minimal': True, 'target_label': '2300.3.f.d.1701.13', 'target_level': 2300, 'twist_class_label': '2300.3.f.c.1701.3', 'twist_class_level': 2300, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 3}
  • id: 40760737
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1149, 'source_dim': 32, 'source_embedding_index': 10, 'source_hecke_orbit_code': 9007405463505148, 'source_is_minimal': False, 'source_label': '2300.3.d.c.1149.10', 'source_level': 2300, 'target_conrey_index': 1701, 'target_dim': 16, 'target_embedding_index': 4, 'target_hecke_orbit_code': 9007542902458620, 'target_is_minimal': True, 'target_label': '2300.3.f.c.1701.4', 'target_level': 2300, 'twist_class_label': '2300.3.f.c.1701.3', 'twist_class_level': 2300, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 3}
  • id: 40760738
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1149, 'source_dim': 32, 'source_embedding_index': 10, 'source_hecke_orbit_code': 9007405463505148, 'source_is_minimal': False, 'source_label': '2300.3.d.c.1149.10', 'source_level': 2300, 'target_conrey_index': 1149, 'target_dim': 32, 'target_embedding_index': 23, 'target_hecke_orbit_code': 9007405463505148, 'target_is_minimal': False, 'target_label': '2300.3.d.c.1149.23', 'target_level': 2300, 'twist_class_label': '2300.3.f.c.1701.3', 'twist_class_level': 2300, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 3}
  • id: 40760739
    {'conductor': 23, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1149, 'source_dim': 32, 'source_embedding_index': 10, 'source_hecke_orbit_code': 9007405463505148, 'source_is_minimal': False, 'source_label': '2300.3.d.c.1149.10', 'source_level': 2300, 'target_conrey_index': 1149, 'target_dim': 32, 'target_embedding_index': 24, 'target_hecke_orbit_code': 9007405463505148, 'target_is_minimal': False, 'target_label': '2300.3.d.c.1149.24', 'target_level': 2300, 'twist_class_label': '2300.3.f.c.1701.3', 'twist_class_level': 2300, 'twisting_char_label': '23.22', 'twisting_conrey_index': 22, 'weight': 3}
  • id: 40760740
    {'conductor': 115, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1149, 'source_dim': 32, 'source_embedding_index': 10, 'source_hecke_orbit_code': 9007405463505148, 'source_is_minimal': False, 'source_label': '2300.3.d.c.1149.10', 'source_level': 2300, 'target_conrey_index': 1701, 'target_dim': 16, 'target_embedding_index': 14, 'target_hecke_orbit_code': 13511142529829116, 'target_is_minimal': True, 'target_label': '2300.3.f.d.1701.14', 'target_level': 2300, 'twist_class_label': '2300.3.f.c.1701.3', 'twist_class_level': 2300, 'twisting_char_label': '115.22', 'twisting_conrey_index': 22, 'weight': 3}
  • id: 40760741
    {'conductor': 115, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1149, 'source_dim': 32, 'source_embedding_index': 10, 'source_hecke_orbit_code': 9007405463505148, 'source_is_minimal': False, 'source_label': '2300.3.d.c.1149.10', 'source_level': 2300, 'target_conrey_index': 1701, 'target_dim': 16, 'target_embedding_index': 3, 'target_hecke_orbit_code': 9007542902458620, 'target_is_minimal': True, 'target_label': '2300.3.f.c.1701.3', 'target_level': 2300, 'twist_class_label': '2300.3.f.c.1701.3', 'twist_class_level': 2300, 'twisting_char_label': '115.68', 'twisting_conrey_index': 68, 'weight': 3}
  • id: 40760742
    {'conductor': 115, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1149, 'source_dim': 32, 'source_embedding_index': 10, 'source_hecke_orbit_code': 9007405463505148, 'source_is_minimal': False, 'source_label': '2300.3.d.c.1149.10', 'source_level': 2300, 'target_conrey_index': 1149, 'target_dim': 32, 'target_embedding_index': 9, 'target_hecke_orbit_code': 9007405463505148, 'target_is_minimal': False, 'target_label': '2300.3.d.c.1149.9', 'target_level': 2300, 'twist_class_label': '2300.3.f.c.1701.3', 'twist_class_level': 2300, 'twisting_char_label': '115.114', 'twisting_conrey_index': 114, 'weight': 3}
• hecke_orbit_code 9007405463505148 does not appear in mf_hecke_charpolys
• mf_newform_portraits •

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

  
  {'char_orbit_index': 4, 'hecke_orbit': 3, 'label': '2300.3.d.c', 'level': 2300, 'portrait': 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', 'weight': 3}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 30297175
    {'hecke_orbit_code': 9007405463505148, 'n': 1, 'trace_an': 32}
  • id: 30297176
    {'hecke_orbit_code': 9007405463505148, 'n': 2, 'trace_an': 0}
  • id: 30297177
    {'hecke_orbit_code': 9007405463505148, 'n': 3, 'trace_an': 0}
  • id: 30297178
    {'hecke_orbit_code': 9007405463505148, 'n': 4, 'trace_an': 0}
  • id: 30297179
    {'hecke_orbit_code': 9007405463505148, 'n': 5, 'trace_an': 0}
  • id: 30297180
    {'hecke_orbit_code': 9007405463505148, 'n': 6, 'trace_an': 0}
  • id: 30297181
    {'hecke_orbit_code': 9007405463505148, 'n': 7, 'trace_an': 0}
  • id: 30297182
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  • id: 30297383
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  • id: 30297384
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  • id: 30297385
    {'hecke_orbit_code': 9007405463505148, 'n': 683, 'trace_an': 0}
  • id: 30297386
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  • id: 30297387
    {'hecke_orbit_code': 9007405463505148, 'n': 701, 'trace_an': 0}
  • id: 30297388
    {'hecke_orbit_code': 9007405463505148, 'n': 709, 'trace_an': 0}
  • id: 30297389
    {'hecke_orbit_code': 9007405463505148, 'n': 719, 'trace_an': 6704}
  • id: 30297390
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  • id: 30297391
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  • id: 30297392
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  • id: 30297393
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  • id: 30297394
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  • id: 30297395
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  • id: 30297396
    {'hecke_orbit_code': 9007405463505148, 'n': 757, 'trace_an': 0}
  • id: 30297397
    {'hecke_orbit_code': 9007405463505148, 'n': 761, 'trace_an': -5060}
  • id: 30297398
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  • id: 30297399
    {'hecke_orbit_code': 9007405463505148, 'n': 773, 'trace_an': 0}
  • id: 30297400
    {'hecke_orbit_code': 9007405463505148, 'n': 787, 'trace_an': 0}
  • id: 30297401
    {'hecke_orbit_code': 9007405463505148, 'n': 797, 'trace_an': 0}
  • id: 30297402
    {'hecke_orbit_code': 9007405463505148, 'n': 809, 'trace_an': -3488}
  • id: 30297403
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  • id: 30297404
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  • id: 30297405
    {'hecke_orbit_code': 9007405463505148, 'n': 823, 'trace_an': 0}
  • id: 30297406
    {'hecke_orbit_code': 9007405463505148, 'n': 827, 'trace_an': 0}
  • id: 30297407
    {'hecke_orbit_code': 9007405463505148, 'n': 829, 'trace_an': 2544}
  • id: 30297408
    {'hecke_orbit_code': 9007405463505148, 'n': 839, 'trace_an': 0}
  • id: 30297409
    {'hecke_orbit_code': 9007405463505148, 'n': 841, 'trace_an': 13652}
  • id: 30297410
    {'hecke_orbit_code': 9007405463505148, 'n': 853, 'trace_an': 0}
  • id: 30297411
    {'hecke_orbit_code': 9007405463505148, 'n': 857, 'trace_an': 0}
  • id: 30297412
    {'hecke_orbit_code': 9007405463505148, 'n': 859, 'trace_an': -6896}
  • id: 30297413
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  • id: 30297414
    {'hecke_orbit_code': 9007405463505148, 'n': 877, 'trace_an': 0}
  • id: 30297415
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  • id: 30297416
    {'hecke_orbit_code': 9007405463505148, 'n': 883, 'trace_an': 0}
  • id: 30297417
    {'hecke_orbit_code': 9007405463505148, 'n': 887, 'trace_an': 0}
  • id: 30297418
    {'hecke_orbit_code': 9007405463505148, 'n': 907, 'trace_an': 0}
  • id: 30297419
    {'hecke_orbit_code': 9007405463505148, 'n': 911, 'trace_an': 0}
  • id: 30297420
    {'hecke_orbit_code': 9007405463505148, 'n': 919, 'trace_an': 0}
  • id: 30297421
    {'hecke_orbit_code': 9007405463505148, 'n': 929, 'trace_an': -4444}
  • id: 30297422
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  • id: 30297423
    {'hecke_orbit_code': 9007405463505148, 'n': 941, 'trace_an': 0}
  • id: 30297424
    {'hecke_orbit_code': 9007405463505148, 'n': 947, 'trace_an': 0}
  • id: 30297425
    {'hecke_orbit_code': 9007405463505148, 'n': 953, 'trace_an': 0}
  • id: 30297426
    {'hecke_orbit_code': 9007405463505148, 'n': 961, 'trace_an': -7656}
  • id: 30297427
    {'hecke_orbit_code': 9007405463505148, 'n': 967, 'trace_an': 0}
  • id: 30297428
    {'hecke_orbit_code': 9007405463505148, 'n': 971, 'trace_an': 0}
  • id: 30297429
    {'hecke_orbit_code': 9007405463505148, 'n': 977, 'trace_an': 0}
  • id: 30297430
    {'hecke_orbit_code': 9007405463505148, 'n': 983, 'trace_an': 0}
  • id: 30297431
    {'hecke_orbit_code': 9007405463505148, 'n': 991, 'trace_an': -8796}
  • id: 30297432
    {'hecke_orbit_code': 9007405463505148, 'n': 997, 'trace_an': 0}