Embedded newform data - 6080.2.a.cd.1.4

Formats: - HTML - YAML - JSON - 2026-07-28T09:45:38.673650

• 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': 24320, 'analytic_conductor': 48.54904442893847, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [5, 1], [19, 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': [6080, 1, [191, 5701, 1217, 1921], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 4, 'field_disc': 17428, 'field_disc_factorization': [[2, 2], [4357, 1]], 'field_poly': [6, 4, -6, -1, 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, [6, -4, -6, 1, 1]], [7, [-4, 12, 2, -5, 1]], [11, [16, -20, -4, 6, 1]]], 'hecke_orbit': 56, 'hecke_orbit_code': 247697979538937792, 'hecke_ring_generator_nbound': 3, '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': True, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '6080.2.a.cd', 'level': 6080, '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, 19], 'level_radical': 190, 'minimal_twist': '3040.2.a.r', 'nf_label': '4.4.17428.1', 'prim_orbit_index': 1, 'qexp_display': 'q-\\beta _{1}q^{3}-q^{5}+(1+\\beta _{2})q^{7}+\\beta _{2}q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '6080.2.a', 'trace_display': [0, -1, -4, 5], 'trace_hash': 2093609555932938546, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.096', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.950', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.181', 'prec': 17}, {'__RealLiteral__': 0, 'data': '42.438', 'prec': 20}, {'__RealLiteral__': 0, 'data': '26.283', 'prec': 20}, {'__RealLiteral__': 0, 'data': '701.325', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.006', 'prec': 17}, 'traces': [4, 0, -1, 0, -4, 0, 5, 0, 1, 0, -6, 0, 1, 0, 1, 0, -1, 0, -4, 0, -5, 0, 5, 0, 4, 0, -1, 0, -3, 0, 16, 0, 2, 0, -5, 0, 8, 0, 13, 0, -2, 0, 0, 0, -1, 0, -2, 0, -7, 0, -21, 0, -13, 0, 6, 0, 1, 0, -5, 0, 2, 0, 16, 0, -1, 0, 1, 0, 11, 0, 22, 0, 9, 0, -1, 0, 4, 0, 24, 0, -24, 0, -16, 0, 1, 0, 5, 0, 0, 0, 9, 0, 14, 0, 4, 0, 12, 0, 10, 0, 6, 0, 18, 0, 5, 0, 3, 0, 5, 0, 24, 0, 8, 0, -5, 0, 8, 0, 3, 0, 0, 0, 26, 0, -4, 0, -2, 0, -8, 0, -20, 0, -5, 0, 1, 0, 7, 0, 18, 0, -18, 0, 34, 0, 3, 0, -10, 0, -10, 0, 50, 0, 4, 0, -16, 0, 8, 0, 5, 0, -15, 0, 4, 0, -2, 0, 14, 0, -3, 0, -1, 0, -22, 0, 5, 0, -21, 0, -2, 0, -24, 0, 2, 0, -8, 0, 24, 0, 3, 0, 57, 0, -16, 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43, 0, 167, 0, -61, 0, 88, 0, 14, 0, 36, 0, 104, 0, 5, 0, 60, 0, 72, 0, -81, 0, 152, 0, 38, 0, 22, 0, 37, 0, -18, 0, 100, 0, -49, 0, 27, 0, -116, 0, 68, 0, 43, 0, 20, 0, -92, 0, 3, 0, -92, 0, 52, 0, -26, 0, -30, 0, 26, 0, -191, 0, -166, 0, 3, 0, 48, 0, 18, 0, 26, 0, 60, 0, 92, 0, 222, 0, 306, 0, 68, 0, -189, 0, -10, 0, 62, 0, 98, 0, 78, 0, 83, 0, 6, 0, 30, 0, 48, 0, -22, 0, 150, 0, 30, 0, -34, 0, -48, 0, -113, 0, 20, 0, 5, 0, -36, 0, 162, 0, 138, 0, -152, 0, -28, 0, -35, 0, -44, 0, 12, 0, -47, 0, -70, 0, -22, 0, 34, 0, -148, 0, 24, 0, -3, 0, -115, 0, 40, 0, -16, 0, -88, 0, 6, 0, 74, 0, -28, 0, 86, 0, 132, 0, 24, 0, -106, 0, 48, 0, -44, 0, -75, 0, -42, 0, 63, 0, 6, 0, 33, 0, 10, 0, 20, 0, -50, 0, -16, 0, -114, 0, 85, 0, -8, 0, 122, 0, 177, 0, 265, 0, -10, 0, 40, 0, -76, 0, 94, 0, 110, 0, -95, 0, 8, 0, 62, 0, -10, 0, 10, 0, 88, 0, 71, 0, 68, 0, 98, 0, -114, 0, 105, 0, -56, 0, 85, 0, 40, 0, 30, 0, 40, 0, -32, 0, 57, 0, -42, 0, 40, 0, 66, 0, 9, 0, -180, 0, -50, 0, -16, 0, -114, 0, -5, 0, -147, 0, -6, 0, 124, 0, 243, 0, -23, 0, 94, 0, 57, 0, 0, 0, 0, 0, -44, 0, 31, 0, -92, 0, 102, 0, -190, 0, 38, 0, -4, 0, -118, 0, -64, 0, 76, 0, 62, 0, 33, 0, -4, 0, 60, 0, -60, 0, 8, 0, -285, 0, 96, 0, -76, 0, -2, 0, -4, 0, -28, 0, 107, 0, 54, 0, 153, 0, 16, 0, 33, 0, -182, 0, 53, 0, 4, 0, -38, 0, -17, 0, 56, 0, -16, 0, -129, 0, 12, 0, 146, 0, -107, 0, 168, 0, -30, 0, 3, 0, -124, 0, 138, 0, 40, 0, -8, 0, -11, 0, -36, 0, 170, 0, -58, 0, 106, 0, 64, 0, -34, 0, 11, 0], '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], [0.0, 0.0], [1.2165326603109397, 0.0], [0.0, 0.0], [-0.4472135954999579, 0.0], [0.0, 0.0], [0.9221785625149683, 0.0], [0.0, 0.0], [0.4799517136032123, 0.0], [0.0, 0.0], [0.41206720707989675, 0.0], [0.0, 0.0], [1.518150283499926, 0.0], [0.0, 0.0], [-0.5440499450607843, 0.0], [0.0, 0.0], [-0.7973056910164484, 0.0], [0.0, 0.0], [-0.22941573387056177, 0.0], [0.0, 0.0], [1.1218603399380527, 0.0], [0.0, 0.0], [0.7118221708923622, 0.0], [0.0, 0.0], [0.2, 0.0], [0.0, 0.0], [-0.6326557253404297, 0.0], [0.0, 0.0], [0.172105628458422, 0.0], [0.0, 0.0], [1.9925238052695433, 0.0], [0.0, 0.0], [0.5012932156558056, 0.0], [0.0, 0.0], [-0.4124107906353017, 0.0], [0.0, 0.0], [1.1355876363102564, 0.0], [0.0, 0.0], [1.8468794031379725, 0.0], [0.0, 0.0], [0.6581463356301387, 0.0], [0.0, 0.0], [-0.07426101378910877, 0.0], [0.0, 0.0], [-0.21464093150685865, 0.0], [0.0, 0.0], [-1.5258317343980545, 0.0], [0.0, 0.0], [-0.14958669883782671, 0.0], [0.0, 0.0], [-0.9699484133732922, 0.0], [0.0, 0.0], [-1.8177183388045723, 0.0], [0.0, 0.0], [-0.18428205726582633, 0.0], [0.0, 0.0], [-0.27909173304274104, 0.0], [0.0, 0.0], [-1.3045866511952173, 0.0], [0.0, 0.0], [1.2146412314166921, 0.0], [0.0, 0.0], [0.44260118132720605, 0.0], [0.0, 0.0], [-0.6789374467932824, 0.0], [0.0, 0.0], [0.4902516366533989, 0.0], [0.0, 0.0], [0.8659549192239938, 0.0], [0.0, 0.0], [-0.587164661823155, 0.0], [0.0, 0.0], [1.563108242749212, 0.0], [0.0, 0.0], [0.24330653206218794, 0.0], [0.0, 0.0], [0.3799995446844969, 0.0], [0.0, 0.0], [0.7846277587900818, 0.0], [0.0, 0.0], [-1.2495980662125523, 0.0], [0.0, 0.0], [-0.38560601279917783, 0.0], [0.0, 0.0], [0.35656594479204445, 0.0], [0.0, 0.0], [0.2093721180430103, 0.0], [0.0, 0.0], [0.855187962270208, 0.0], [0.0, 0.0], [1.4000056461196535, 0.0], [0.0, 0.0], [2.4239702855574343, 0.0], [0.0, 0.0], [0.10259783520851541, 0.0], [0.0, 0.0], [-0.05553451258432921, 0.0], [0.0, 0.0], [0.19777236215768618, 0.0], [0.0, 0.0]], 'angles': [None, -0.14593263155722058, None, -0.17372939113048064, -0.21697218915356806, -0.11282574408326693, -0.31526107867203107, None, -0.19208529713425088, -0.2362873096606136, -0.013765621154636776, -0.15389854214523593, -0.19663186052038903, -0.25591086243528927, -0.38811648062436255, -0.4315226950757627, -0.3630964799573196, -0.14612217452961038, -0.21058536300048178, -0.2974237421807424, -0.1072136379078762, -0.18583735400113197, -0.2808789162099419, -0.17968065342177122, -0.25441986418678797, -0.11864168364605077, -0.20892703250702052, -0.23654779402696172, -0.31954136298267616, -0.06801797503553358, -0.3098259386190798, -0.30911596837007876, -0.24687361135107222, -0.27116240938951497, -0.35681264740105073, -0.05827040269800186, -0.23106807116653708, -0.1980055063749092, -0.16388193114253896, -0.3119033455017758, -0.31269242271525577, -0.385039194057558, -0.1495244461200195, -0.3060573026998909, -0.12128109941628866, -0.17195406809650002, -0.2932989534634724, -0.3107627828026957, -0.16230615338662663, -0.347120558878279, -0.10223813527469201, -0.11322407968645086, -0.3598131830756861, -0.2122028009950899, -0.23582464852353865, -0.3385526310337429, -0.40763266472532816, -0.052533540178962126, -0.24604274844180923, -0.17225728059322848, -0.22610463854817028, -0.26207125832885025, -0.43226089002950907, -0.3412057034946883, -0.3056014070347909, -0.2030468288536069, -0.2699867813978297, -0.35911331524640183, -0.18729289944750482, -0.29526628836701785, -0.2968419057423976, -0.3215964377813207, -0.1384768563699089, -0.24420572716808361, -0.16638316784576404, -0.16478757158842958, -0.26698605588411806, -0.1800867109610595, -0.17361224169526343, -0.22858791022502417, -0.3019845653448362, -0.16469921735165824, -0.22034598190836371, -0.34852658975341505, -0.1265701106800958, -0.34292994411954875, -0.35949811788518055, -0.22656231594497905, -0.14872142723968879, -0.2237322510853258, -0.2872826437073534, -0.12491029358440714, -0.44128020708544813, -0.3024671225931392, -0.2304974955442577, -0.1670963604218503, -0.4123838850347403, -0.37961919691787727, -0.2474130875381812, -0.37948066219267107], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 4, 'dual_embedding_m': 4, 'embedding_index': 4, 'embedding_m': 4, 'embedding_root_imag': 0.0, 'embedding_root_real': -2.107096376725478, 'hecke_orbit': 56, 'hecke_orbit_code': 247697979538937792, 'label': '6080.2.a.cd.1.4', 'level': 6080, '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': [17, 21, 19, 15, 19, 15, 17, 21], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [5, 6, 6, 6, 6, 6, 6, 6], 'ALdims_old': [90, 107, 103, 97, 101, 99, 103, 93], 'Nk2': 24320, 'analytic_conductor': 48.54904442893847, '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': [6080, 1, [191, 5701, 1217, 1921], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 937, 'dim': 144, 'eis_dim': 47, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 7, 11], 'hecke_orbit_code': 33560512, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5], 'label': '6080.2.a', 'level': 6080, '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, 19], 'level_radical': 190, 'mf_dim': 984, 'mf_new_dim': 144, 'num_forms': 64, 'plus_dim': 64, 'prim_orbit_index': 1, 'relative_dim': 144, 'sturm_bound': 1920, 'trace_bound': 11, 'trace_display': [0, 0, 0, 0], 'traces': [144, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 32, 0, 0, 0, 32, 0, 0, 0, -64, 0, 0, 0, 96, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, -96, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, -64, 0, 0, 0, 96, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 144, 0, 0, 0, 64, 0, 0, 0, -64, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 32, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, 128, 0, 0, 0, 160, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, -96, 0, 0, 0, 128, 0, 0, 0, 224, 0, 0, 0, 32, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, -128, 0, 0, 0, -64, 0, 0, 0, -320, 0, 0, 0, -32, 0, 0, 0, 192, 0, 0, 0, 128, 0, 0, 0, 64, 0, 0, 0, 144, 0, 0, 0, -96, 0, 0, 0, -192, 0, 0, 0, 352, 0, 0, 0, -192, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, -64, 0, 0, 0, 96, 0, 0, 0, -96, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, -192, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 272, 0, 0, 0, 64, 0, 0, 0, -320, 0, 0, 0, -192, 0, 0, 0, -128, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, -192, 0, 0, 0, 320, 0, 0, 0, 64, 0, 0, 0, -96, 0, 0, 0, -160, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, -512, 0, 0, 0, 64, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, -128, 0, 0, 0, -32, 0, 0, 0, 224, 0, 0, 0, -64, 0, 0, 0, -256, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 64, 0, 0, 0, 96, 0, 0, 0, -128, 0, 0, 0, -32, 0, 0, 0, -192, 0, 0, 0, 144, 0, 0, 0, 64, 0, 0, 0, 224, 0, 0, 0, 192, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, -64, 0, 0, 0, -96, 0, 0, 0, -224, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 96, 0, 0, 0, -96, 0, 0, 0, 96, 0, 0, 0, -128, 0, 0, 0, 128, 0, 0, 0, -160, 0, 0, 0, 96, 0, 0, 0, 224, 0, 0, 0, 128, 0, 0, 0, 64, 0, 0, 0, 224, 0, 0, 0, 32, 0, 0, 0, 144, 0, 0, 0, -96, 0, 0, 0, -192, 0, 0, 0, 64, 0, 0, 0, 96, 0, 0, 0, -192, 0, 0, 0, -192, 0, 0, 0, -160, 0, 0, 0, -352, 0, 0, 0, -96, 0, 0, 0, 160, 0, 0, 0, -576, 0, 0, 0, -224, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, -288, 0, 0, 0, -96, 0, 0, 0, -192, 0, 0, 0, -288, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, -224, 0, 0, 0, 288, 0, 0, 0, 368, 0, 0, 0, 64, 0, 0, 0, -32, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 544, 0, 0, 0, -128, 0, 0, 0, 224, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, -384, 0, 0, 0, -128, 0, 0, 0, 576, 0, 0, 0, 64, 0, 0, 0, -32, 0, 0, 0, -160, 0, 0, 0, 32, 0, 0, 0, -64, 0, 0, 0, -96, 0, 0, 0, 128, 0, 0, 0, 32, 0, 0, 0, 64, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 208, 0, 0, 0, -96, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, -384, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 128, 0, 0, 0, 384, 0, 0, 0], '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: 49074521
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 247697979538937792, 'source_is_minimal': False, 'source_label': '6080.2.a.cd.1.4', 'source_level': 6080, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 247697979538937792, 'target_is_minimal': False, 'target_label': '6080.2.a.cd.1.4', 'target_level': 6080, 'twist_class_label': '3040.2.a.r.1.4', 'twist_class_level': 3040, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 49074522
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 247697979538937792, 'source_is_minimal': False, 'source_label': '6080.2.a.cd.1.4', 'source_level': 6080, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 256705178793678784, 'target_is_minimal': False, 'target_label': '6080.2.a.cf.1.1', 'target_level': 6080, 'twist_class_label': '3040.2.a.r.1.4', 'twist_class_level': 3040, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 49074523
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 247697979538937792, 'source_is_minimal': False, 'source_label': '6080.2.a.cd.1.4', 'source_level': 6080, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 76561193698855904, 'target_is_minimal': True, 'target_label': '3040.2.a.r.1.4', 'target_level': 3040, 'twist_class_label': '3040.2.a.r.1.4', 'twist_class_level': 3040, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 49074524
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 247697979538937792, 'source_is_minimal': False, 'source_label': '6080.2.a.cd.1.4', 'source_level': 6080, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 85568392953596896, 'target_is_minimal': True, 'target_label': '3040.2.a.t.1.1', 'target_level': 3040, 'twist_class_label': '3040.2.a.r.1.4', 'twist_class_level': 3040, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 4086175
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 247697979538937792, 'p': 2}
  • id: 4086176
    {'charpoly_factorization': [[[6, -4, -6, 1, 1], 1]], 'hecke_orbit_code': 247697979538937792, 'p': 3}
  • id: 4086177
    {'charpoly_factorization': [[[1, 1], 4]], 'hecke_orbit_code': 247697979538937792, 'p': 5}
  • id: 4086178
    {'charpoly_factorization': [[[-4, 12, 2, -5, 1], 1]], 'hecke_orbit_code': 247697979538937792, 'p': 7}
  • id: 4086179
    {'charpoly_factorization': [[[16, -20, -4, 6, 1], 1]], 'hecke_orbit_code': 247697979538937792, 'p': 11}
  • id: 4086180
    {'charpoly_factorization': [[[62, -14, -24, -1, 1], 1]], 'hecke_orbit_code': 247697979538937792, 'p': 13}
  • id: 4086181
    {'charpoly_factorization': [[[72, -52, -30, 1, 1], 1]], 'hecke_orbit_code': 247697979538937792, 'p': 17}
  • id: 4086182
    {'charpoly_factorization': [[[1, 1], 4]], 'hecke_orbit_code': 247697979538937792, 'p': 19}
  • id: 4086183
    {'charpoly_factorization': [[[-12, 220, -58, -5, 1], 1]], 'hecke_orbit_code': 247697979538937792, 'p': 23}
  • id: 4086184
    {'charpoly_factorization': [[[24, -20, -10, 3, 1], 1]], 'hecke_orbit_code': 247697979538937792, 'p': 29}
  • id: 4086185
    {'charpoly_factorization': [[[-16, -16, 56, -16, 1], 1]], 'hecke_orbit_code': 247697979538937792, 'p': 31}
  • id: 4086186
    {'charpoly_factorization': [[[-1684, 738, -64, -8, 1], 1]], 'hecke_orbit_code': 247697979538937792, 'p': 37}
  • id: 4086187
    {'charpoly_factorization': [[[96, -32, -24, 2, 1], 1]], 'hecke_orbit_code': 247697979538937792, 'p': 41}
  • id: 4086188
    {'charpoly_factorization': [[[-8, -28, -24, 0, 1], 1]], 'hecke_orbit_code': 247697979538937792, 'p': 43}
  • id: 4086189
    {'charpoly_factorization': [[[32, 92, -80, 2, 1], 1]], 'hecke_orbit_code': 247697979538937792, 'p': 47}
  • id: 4086190
    {'charpoly_factorization': [[[-942, -1486, -110, 13, 1], 1]], 'hecke_orbit_code': 247697979538937792, 'p': 53}
  • id: 4086191
    {'charpoly_factorization': [[[8, 44, -46, 5, 1], 1]], 'hecke_orbit_code': 247697979538937792, 'p': 59}
  • id: 4086192
    {'charpoly_factorization': [[[9104, 188, -192, -2, 1], 1]], 'hecke_orbit_code': 247697979538937792, 'p': 61}
  • id: 4086193
    {'charpoly_factorization': [[[3362, -164, -180, -1, 1], 1]], 'hecke_orbit_code': 247697979538937792, 'p': 67}
  • id: 4086194
    {'charpoly_factorization': [[[-2272, 616, 84, -22, 1], 1]], 'hecke_orbit_code': 247697979538937792, 'p': 71}
  • id: 4086195
    {'charpoly_factorization': [[[-248, 604, -102, -9, 1], 1]], 'hecke_orbit_code': 247697979538937792, 'p': 73}
  • id: 4086196
    {'charpoly_factorization': [[[-3632, 512, 120, -24, 1], 1]], 'hecke_orbit_code': 247697979538937792, 'p': 79}
  • id: 4086197
    {'charpoly_factorization': [[[-24, 92, 72, 16, 1], 1]], 'hecke_orbit_code': 247697979538937792, 'p': 83}
  • id: 4086198
    {'charpoly_factorization': [[[592, 176, -96, 0, 1], 1]], 'hecke_orbit_code': 247697979538937792, 'p': 89}
  • id: 4086199
    {'charpoly_factorization': [[[-36, -38, 44, -12, 1], 1]], 'hecke_orbit_code': 247697979538937792, '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': 56, 'label': '6080.2.a.cd', 'level': 6080, '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: 71883679
    {'hecke_orbit_code': 247697979538937792, 'n': 1, 'trace_an': 4}
  • id: 71883680
    {'hecke_orbit_code': 247697979538937792, 'n': 2, 'trace_an': 0}
  • id: 71883681
    {'hecke_orbit_code': 247697979538937792, 'n': 3, 'trace_an': -1}
  • id: 71883682
    {'hecke_orbit_code': 247697979538937792, 'n': 4, 'trace_an': 0}
  • id: 71883683
    {'hecke_orbit_code': 247697979538937792, 'n': 5, 'trace_an': -4}
  • id: 71883684
    {'hecke_orbit_code': 247697979538937792, 'n': 6, 'trace_an': 0}
  • id: 71883685
    {'hecke_orbit_code': 247697979538937792, 'n': 7, 'trace_an': 5}
  • id: 71883686
    {'hecke_orbit_code': 247697979538937792, 'n': 8, 'trace_an': 0}
  • id: 71883687
    {'hecke_orbit_code': 247697979538937792, 'n': 9, 'trace_an': 1}
  • id: 71883688
    {'hecke_orbit_code': 247697979538937792, 'n': 10, 'trace_an': 0}
  • id: 71883689
    {'hecke_orbit_code': 247697979538937792, 'n': 11, 'trace_an': -6}
  • id: 71883690
    {'hecke_orbit_code': 247697979538937792, 'n': 12, 'trace_an': 0}
  • id: 71883691
    {'hecke_orbit_code': 247697979538937792, 'n': 13, 'trace_an': 1}
  • id: 71883692
    {'hecke_orbit_code': 247697979538937792, 'n': 14, 'trace_an': 0}
  • id: 71883693
    {'hecke_orbit_code': 247697979538937792, 'n': 15, 'trace_an': 1}
  • id: 71883694
    {'hecke_orbit_code': 247697979538937792, 'n': 16, 'trace_an': 0}
  • id: 71883695
    {'hecke_orbit_code': 247697979538937792, 'n': 17, 'trace_an': -1}
  • id: 71883696
    {'hecke_orbit_code': 247697979538937792, 'n': 18, 'trace_an': 0}
  • id: 71883697
    {'hecke_orbit_code': 247697979538937792, 'n': 19, 'trace_an': -4}
  • id: 71883698
    {'hecke_orbit_code': 247697979538937792, 'n': 20, 'trace_an': 0}
  • id: 71883699
    {'hecke_orbit_code': 247697979538937792, 'n': 21, 'trace_an': -5}
  • id: 71883700
    {'hecke_orbit_code': 247697979538937792, 'n': 22, 'trace_an': 0}
  • id: 71883701
    {'hecke_orbit_code': 247697979538937792, 'n': 23, 'trace_an': 5}
  • id: 71883702
    {'hecke_orbit_code': 247697979538937792, 'n': 24, 'trace_an': 0}
  • id: 71883703
    {'hecke_orbit_code': 247697979538937792, 'n': 25, 'trace_an': 4}
  • id: 71883704
    {'hecke_orbit_code': 247697979538937792, 'n': 26, 'trace_an': 0}
  • id: 71883705
    {'hecke_orbit_code': 247697979538937792, 'n': 27, 'trace_an': -1}
  • id: 71883706
    {'hecke_orbit_code': 247697979538937792, 'n': 28, 'trace_an': 0}
  • id: 71883707
    {'hecke_orbit_code': 247697979538937792, 'n': 29, 'trace_an': -3}
  • id: 71883708
    {'hecke_orbit_code': 247697979538937792, 'n': 30, 'trace_an': 0}
  • id: 71883709
    {'hecke_orbit_code': 247697979538937792, 'n': 31, 'trace_an': 16}
  • id: 71883710
    {'hecke_orbit_code': 247697979538937792, 'n': 32, 'trace_an': 0}
  • id: 71883711
    {'hecke_orbit_code': 247697979538937792, 'n': 33, 'trace_an': 2}
  • id: 71883712
    {'hecke_orbit_code': 247697979538937792, 'n': 34, 'trace_an': 0}
  • id: 71883713
    {'hecke_orbit_code': 247697979538937792, 'n': 35, 'trace_an': -5}
  • id: 71883714
    {'hecke_orbit_code': 247697979538937792, 'n': 36, 'trace_an': 0}
  • id: 71883715
    {'hecke_orbit_code': 247697979538937792, 'n': 37, 'trace_an': 8}
  • id: 71883716
    {'hecke_orbit_code': 247697979538937792, 'n': 38, 'trace_an': 0}
  • id: 71883717
    {'hecke_orbit_code': 247697979538937792, 'n': 39, 'trace_an': 13}
  • id: 71883718
    {'hecke_orbit_code': 247697979538937792, 'n': 40, 'trace_an': 0}
  • id: 71883719
    {'hecke_orbit_code': 247697979538937792, 'n': 41, 'trace_an': -2}
  • id: 71883720
    {'hecke_orbit_code': 247697979538937792, 'n': 42, 'trace_an': 0}
  • id: 71883721
    {'hecke_orbit_code': 247697979538937792, 'n': 43, 'trace_an': 0}
  • id: 71883722
    {'hecke_orbit_code': 247697979538937792, 'n': 44, 'trace_an': 0}
  • id: 71883723
    {'hecke_orbit_code': 247697979538937792, 'n': 45, 'trace_an': -1}
  • id: 71883724
    {'hecke_orbit_code': 247697979538937792, 'n': 46, 'trace_an': 0}
  • id: 71883725
    {'hecke_orbit_code': 247697979538937792, 'n': 47, 'trace_an': -2}
  • id: 71883726
    {'hecke_orbit_code': 247697979538937792, 'n': 48, 'trace_an': 0}
  • id: 71883727
    {'hecke_orbit_code': 247697979538937792, 'n': 49, 'trace_an': -7}
  • id: 71883728
    {'hecke_orbit_code': 247697979538937792, 'n': 50, 'trace_an': 0}
  • id: 71883729
    {'hecke_orbit_code': 247697979538937792, 'n': 51, 'trace_an': -21}
  • id: 71883730
    {'hecke_orbit_code': 247697979538937792, 'n': 52, 'trace_an': 0}
  • id: 71883731
    {'hecke_orbit_code': 247697979538937792, 'n': 53, 'trace_an': -13}
  • id: 71883732
    {'hecke_orbit_code': 247697979538937792, 'n': 54, 'trace_an': 0}
  • id: 71883733
    {'hecke_orbit_code': 247697979538937792, 'n': 55, 'trace_an': 6}
  • id: 71883734
    {'hecke_orbit_code': 247697979538937792, 'n': 56, 'trace_an': 0}
  • id: 71883735
    {'hecke_orbit_code': 247697979538937792, 'n': 57, 'trace_an': 1}
  • id: 71883736
    {'hecke_orbit_code': 247697979538937792, 'n': 58, 'trace_an': 0}
  • id: 71883737
    {'hecke_orbit_code': 247697979538937792, 'n': 59, 'trace_an': -5}
  • id: 71883738
    {'hecke_orbit_code': 247697979538937792, 'n': 60, 'trace_an': 0}
  • id: 71883739
    {'hecke_orbit_code': 247697979538937792, 'n': 61, 'trace_an': 2}
  • id: 71883740
    {'hecke_orbit_code': 247697979538937792, 'n': 62, 'trace_an': 0}
  • id: 71883741
    {'hecke_orbit_code': 247697979538937792, 'n': 63, 'trace_an': 16}
  • id: 71883742
    {'hecke_orbit_code': 247697979538937792, 'n': 64, 'trace_an': 0}
  • id: 71883743
    {'hecke_orbit_code': 247697979538937792, 'n': 65, 'trace_an': -1}
  • id: 71883744
    {'hecke_orbit_code': 247697979538937792, 'n': 66, 'trace_an': 0}
  • id: 71883745
    {'hecke_orbit_code': 247697979538937792, 'n': 67, 'trace_an': 1}
  • id: 71883746
    {'hecke_orbit_code': 247697979538937792, 'n': 68, 'trace_an': 0}
  • id: 71883747
    {'hecke_orbit_code': 247697979538937792, 'n': 69, 'trace_an': 11}
  • id: 71883748
    {'hecke_orbit_code': 247697979538937792, 'n': 70, 'trace_an': 0}
  • id: 71883749
    {'hecke_orbit_code': 247697979538937792, 'n': 71, 'trace_an': 22}
  • id: 71883750
    {'hecke_orbit_code': 247697979538937792, 'n': 72, 'trace_an': 0}
  • id: 71883751
    {'hecke_orbit_code': 247697979538937792, 'n': 73, 'trace_an': 9}
  • id: 71883752
    {'hecke_orbit_code': 247697979538937792, 'n': 74, 'trace_an': 0}
  • id: 71883753
    {'hecke_orbit_code': 247697979538937792, 'n': 75, 'trace_an': -1}
  • id: 71883754
    {'hecke_orbit_code': 247697979538937792, 'n': 76, 'trace_an': 0}
  • id: 71883755
    {'hecke_orbit_code': 247697979538937792, 'n': 77, 'trace_an': 4}
  • id: 71883756
    {'hecke_orbit_code': 247697979538937792, 'n': 78, 'trace_an': 0}
  • id: 71883757
    {'hecke_orbit_code': 247697979538937792, 'n': 79, 'trace_an': 24}
  • id: 71883758
    {'hecke_orbit_code': 247697979538937792, 'n': 80, 'trace_an': 0}
  • id: 71883759
    {'hecke_orbit_code': 247697979538937792, 'n': 81, 'trace_an': -24}
  • id: 71883760
    {'hecke_orbit_code': 247697979538937792, 'n': 82, 'trace_an': 0}
  • id: 71883761
    {'hecke_orbit_code': 247697979538937792, 'n': 83, 'trace_an': -16}
  • id: 71883762
    {'hecke_orbit_code': 247697979538937792, 'n': 84, 'trace_an': 0}
  • id: 71883763
    {'hecke_orbit_code': 247697979538937792, 'n': 85, 'trace_an': 1}
  • id: 71883764
    {'hecke_orbit_code': 247697979538937792, 'n': 86, 'trace_an': 0}
  • id: 71883765
    {'hecke_orbit_code': 247697979538937792, 'n': 87, 'trace_an': 5}
  • id: 71883766
    {'hecke_orbit_code': 247697979538937792, 'n': 88, 'trace_an': 0}
  • id: 71883767
    {'hecke_orbit_code': 247697979538937792, 'n': 89, 'trace_an': 0}
  • id: 71883768
    {'hecke_orbit_code': 247697979538937792, 'n': 90, 'trace_an': 0}
  • id: 71883769
    {'hecke_orbit_code': 247697979538937792, 'n': 91, 'trace_an': 9}
  • id: 71883770
    {'hecke_orbit_code': 247697979538937792, 'n': 92, 'trace_an': 0}
  • id: 71883771
    {'hecke_orbit_code': 247697979538937792, 'n': 93, 'trace_an': 14}
  • id: 71883772
    {'hecke_orbit_code': 247697979538937792, 'n': 94, 'trace_an': 0}
  • id: 71883773
    {'hecke_orbit_code': 247697979538937792, 'n': 95, 'trace_an': 4}
  • id: 71883774
    {'hecke_orbit_code': 247697979538937792, 'n': 96, 'trace_an': 0}
  • id: 71883775
    {'hecke_orbit_code': 247697979538937792, 'n': 97, 'trace_an': 12}
  • id: 71883776
    {'hecke_orbit_code': 247697979538937792, 'n': 98, 'trace_an': 0}
  • id: 71883777
    {'hecke_orbit_code': 247697979538937792, 'n': 99, 'trace_an': 10}
  • id: 71883778
    {'hecke_orbit_code': 247697979538937792, 'n': 100, 'trace_an': 0}